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商品コード MM0915016467Z6
出版日 2023/6/30
MarketsandMarkets
英文604 ページグローバル

人工知能（AI）市場 - オファリング別、テクノロジー別（ディープラーニング、LLM・トランスフォーマー(GPT-1, GPT-2, GPT-3, GPT-4)、自然言語処理、コンピュータービジョン）、ビジネス機能別、バーティカル別および地域別：グローバル市場予測（〜2030年）

Artificial Intelligence (AI) Market by Offering (Hardware, Software), Technology (ML (Deep Learning (LLM, Transformers (GPT 1, 2, 3, 4)), NLP, Computer Vision), Business Function, Vertical, and Region - Global Forecast to 2030


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商品コード MM0915016467Z6◆2025年6月版も出版されている時期ですので、お問い合わせ後すぐに確認いたします。
出版日 2023/6/30
MarketsandMarkets
英文 604 ページグローバル

人工知能（AI）市場 - オファリング別、テクノロジー別（ディープラーニング、LLM・トランスフォーマー(GPT-1, GPT-2, GPT-3, GPT-4)、自然言語処理、コンピュータービジョン）、ビジネス機能別、バーティカル別および地域別：グローバル市場予測（〜2030年）

Artificial Intelligence (AI) Market by Offering (Hardware, Software), Technology (ML (Deep Learning (LLM, Transformers (GPT 1, 2, 3, 4)), NLP, Computer Vision), Business Function, Vertical, and Region - Global Forecast to 2030


全体要約

人工知能（AI）市場は、2023年の1502億XX米ドルから2030年には13452億XX米ドルに成長すると予測されています。この成長率は、年間36.8%の複合成長率（CAGR）に相当します。技術別では、機械学習が最も大きな市場規模を占め、予測期間中に最も重要な役割を果たします。ビジネス機能別では、サプライチェーン管理が最も高いCAGRを記録する見込みです。AI技術は、データ駆動型の意思決定を可能にし、企業に競争優位を提供します。

地域別では、北米が人工知能（AI）市場の最大シェアを持つと見込まれています。北米の企業は、機械学習や自然言語処理（NLP）、コンピュータビジョンなどのAI技術を活用し、顧客体験の向上や業務の効率化を図っています。また、主要企業としては、Google、Microsoft、IBM、Oracle、AWSなどがあります。

関連する質問

150.2 billion USD (2023)

36.8% (2023-2030)

Google, Microsoft, IBM, Oracle, AWS, Intel, Salesforce, SAP, Cisco, Meta, HPE, Siemens, Huawei, NVIDIA, Baidu, SAS Institute, OpenAI, H2O.ai, iFLYTEK, Alibaba Cloud, General Vision, Darktrace, Blackberry Limited, DiDi Global, Face++, Inbenta, Anju Software, Butterfly Network, Atomwise, AIBrain, SK Hynix, Progress, PrecisionHawk, AgEagle Aerial System, Neurala, Twitter, Aurea Software, Persado, 8x8, Appier, GumGum, IPRO, Graphcore, Preferred Networks, Applied Brain Research, Pilot AI, Iris Automation, Gamaya, ec2ce, Descartes Labs, Mythic, Ada, Mostly AI, Sentient.io, Lumen5, AI Superior, Fosfor, Intrinsic, Jasper, Soundful, Writesonic, One AI

自律的人工知能の採用の増加, 人工知能技術における進展と革新の増加, データに基づく人工知能の成長と深層学習の進展

概要

人工知能市場の規模は、2023年の1,502億米ドルから2030年には13,452億米ドルに成長し、予測期間中の年間成長率（CAGR）は36.8%です。企業は人工知能（AI）の力を活用して業務プロセスを効率化し、ビジネスデータを効果的に集約します。人工知能は膨大なデータを利用してユーザーの検索行動のパターンを認識し、ユーザーの特定の状況に基づいたより関連性の高い情報を提供します。AI技術の継続的な進歩とデバイスの使用増加により、ユーザーはますます個別化され、カスタマイズ可能な体験を期待できるようになります。
予測期間中に最も大きな市場規模を登録するための技術に基づく機械学習
技術に基づいて、人工知能市場は機械学習、自然言語処理、コンテキスト認識、コンピュータビジョンに分かれています。機械学習は人工知能技術の進歩において重要な役割を果たします。統計モデルとアルゴリズムを活用して、コンピュータがデータから自動的に学習し、複雑なパターンを特定し、データ駆動の予測や意思決定を行えるようにします。機械学習はまた、AIシステムが利用可能なデータに基づいて適応、改善、およびパフォーマンスを最適化できるようにし、知的で自律的な行動につながります。その結果、予測期間中、機械学習技術は最も大きな市場規模を占めると予測されています。
サプライチェーン管理セグメントは、予測期間中に最高のCAGRを占めると予想されます。
ビジネス機能に基づいて、人工知能市場はファイナンス、セキュリティ、人事、マーケティングと販売、オペレーション、サプライチェーン管理、法務に分かれています。人工知能技術は、先進的な機械学習アルゴリズムと予測分析を活用することで、サプライチェーン管理を革新します。サプライチェーン管理における人工知能の適用により、組織はデータに基づいた意思決定を行い、日常業務を自動化し、リソースの割り当てを最適化することが可能となり、最終的にはコスト削減、生産性向上、そして今日の複雑なビジネス環境における競争優位を推進します。予測期間中、サプライチェーン管理は最も高いCAGRで成長することが予想されています。
北米は予測期間中に最大の市場規模を占める見込みです。
北アメリカは人工知能市場で最大のシェアを占めると見込まれています。北アメリカにおける人工知能（AI）の採用は、さまざまな業界で著しい成長を遂げています。企業は、機械学習、自然言語処理（NLP）、コンピュータビジョンなどのAI技術を活用して、業務を強化し、顧客体験を改善し、革新を促進しています。この地域の強力なAIエコシステム、確立されたインフラ、豊富なスキルを持つ人材がAIの採用におけるリーダーシップに寄与し、著しい技術革新と大きな経済成長を促しています。
プライマリの内訳
人工知能市場で活動するさまざまな主要組織の最高経営責任者（CEO）、イノベーションおよび技術ディレクター、システムインテグレーター、ビジネスエグゼクティブに対して、深層インタビューが実施されました。
会社別：ティア I: 35%、ティア II: 45%、ティア III: 20%
指定別：Cレベルのエグゼクティブ：35%、Dレベルのエグゼクティブ：25%、その他：40%
地域別: 北米: 40%、アジア太平洋: 30%、ヨーロッパ: 20%、中東・アフリカ: 5%、ラテンアメリカ: 5%
レポートでは、人工知能を提供する主要プレーヤーの研究が含まれています。また、人工知能市場の主要ベンダーがプロフィールされています。人工知能市場の主要プレーヤーには、Google（米国）、Microsoft（米国）、IBM（米国）、Oracle（米国）、AWS（米国）、Intel（米国）、Salesforce（米国）、SAP（ドイツ）、Cisco（米国）、Meta（米国）、HPE（米国）、Siemens（ドイツ）、Huawei（中国）、NVIDIA（米国）、Baidu（中国）、SAS Institute（米国）、OpenAI（米国）、H2O.ai（米国）、iFLYTEK（中国）、Alibaba Cloud（中国）、General Vision（米国）、Darktrace（英国）、Blackberry Limited（カナダ）、DiDi Global（中国）、Face++（中国）、Inbenta（米国）、Anju Software（米国）、Butterfly Network（米国）、Atomwise（米国）、AIBrain（米国）、SK Hynix（韓国）、Progress（米国）、PrecisionHawk（米国）、AgEagle Aerial System（米国）、Neurala（米国）、Twitter（米国）、Aurea Software（米国）、Persado（米国）、8x8（米国）、Appier（台湾）、GumGum（米国）、IPRO（米国）、Graphcore（英国）、Preferred Networks（日本）、Applied Brain Research（カナダ）、Pilot AI（米国）、Iris Automation（米国）、Gamaya（スイス）、ec2ce（スペイン）、Descartes Labs（米国）、Mythic（米国）、Ada（カナダ）、Mostly AI（オーストリア）、Sentient.io（シンガポール）、Lumen5（カナダ）、AI Superior（ドイツ）、Fosfor（インド）、Intrinsic（米国）、Jasper（米国）、Soundful（米国）、Writesonic（米国）、One AI（イスラエル）などが含まれます。
調査対象
市場調査は、セグメント全体の人工知能市場をカバーしています。この市場の規模および成長ポテンシャルを、オファリング、技術、ビジネス機能、垂直業種、地域などの異なるセグメントにわたって推定することを目的としています。市場の主要プレーヤーに関する詳細な競争分析を含んでおり、企業プロフィール、製品およびビジネスオファリングに関連する重要な観察、最近の開発、主要市場戦略が含まれています。
レポート購入の主な利点
この報告書は、市場のリーダーや新規参入者に、全体の人工知能市場およびそのサブセグメントの収益数値に最も近い推定値に関する情報を提供します。また、利害関係者が競争環境を理解し、自社の位置付けや適切な市場投入戦略を計画するための洞察を得るのに役立ちます。さらに、利害関係者が市場の脈動を理解し、重要な市場のドライバー、制約、課題、機会に関する情報を提供します。
このレポートは、以下のポイントについての洞察を提供します：
• 主要な推進要因の分析（自律型人工知能の採用の増加、AI技術の向上と革新の進展、深層学習の進展とデータに基づくAIの成長）、制約（熟練したAI専門家の不足、データの可用性と品質に関する問題）、機会（さまざまなソースからのデジタルデータの急速な成長、企業や政府によるAI研究開発への投資の増加）、および課題（データのプライバシーとセキュリティに関する懸念、不正確さやバイアスのある出力に関する懸念）がAI市場の成長に影響を与えています。
• 製品開発／革新：AI市場における新しい技術、研究開発活動、及び新製品・サービスの発表に関する詳細な洞察。
• 市場開発: 利益のある市場に関する包括的な情報 - レポートはさまざまな地域にわたるAI市場を分析しています
• 市場の多様化：新製品やサービス、未開拓の地域、最近の動向、AI市場戦略への投資に関する詳細な情報を提供します。本レポートは、ステークホルダーがAI市場の動向を理解し、市場の主なドライバー、制約、課題、機会に関する情報を得るのに役立ちます。
• 競合評価：AI市場におけるGoogle（米国）、Microsoft（米国）、IBM（米国）、Oracle（米国）、AWS（米国）、Intel（米国）、Salesforce（米国）、SAP（ドイツ）などの主要プレーヤーの市場シェア、成長戦略、サービス提供の詳細な評価です。

※以下の目次にて、具体的なレポートの構成をご覧頂けます。ご購入、無料サンプルご請求、その他お問い合わせは、ページ上のボタンよりお進みください。

目次

  • 1 イントロダクション 71

    • 1.1 調査の目的 71
    • 1.2 市場の定義 71
      • 1.2.1 包含・除外事項 72
    • 1.3 市場範囲 73
      • 1.3.1 市場セグメンテーション 73
      • 1.3.2 対象地域 75
      • 1.3.3 対象年 75
    • 1.4 通貨 76
    • 1.5 ステークホルダー 76
    • 1.6 変化のサマリー 76
      • 1.6.1 不況の影響 77

  • 2 調査手法 78

    • 2.1 リサーチデータ 78
      • 2.1.1 二次データ 79
      • 2.1.2 一次データ 79
        • 2.1.2.1 主なプロファイル内訳 80
        • 2.1.2.2 業界についての主な考察 80
    • 2.2 データのトライアンギュレーション 81
    • 2.3 市場規模予測 82
      • 2.3.1 トップダウンアプローチ 82
      • 2.3.2 ボトムアップアプローチ 83
    • 2.4 市場予測 87
    • 2.5 前提 88
    • 2.6 制約 90
    • 2.7 世界人工知能市場への景気後退の影響 90

  • 3 エグゼクティブサマリー 91

  • 4 更なる考察 99

    • 4.1 人工知能市場プレーヤーのための魅力的な機会 99
    • 4.2 世界の人工知能市場における景気後退の概要 100
    • 4.3 人工知能市場：主要ビジネス機能別 100
    • 4.4 人工知能市場：主要製品・分野別 101
    • 4.5 人工知能(AI)の市場、地域別 101

  • 5 市場概要・業界トレンド 102

    • 5.1 イントロダクション 102
    • 5.2 市場力学 102
      • 5.2.1 促進要因 103
        • 5.2.1.1 自律型人工知能の採用拡大 103
        • 5.2.1.2 技術の進歩と革新の高まり 103
        • 5.2.1.3 ディープラーニングの進展とデータに基づく人工知能の成長 104
      • 5.2.2 抑制要因 104
        • 5.2.2.1 熟練した人工知能専門家の不足 104
        • 5.2.2.2 データの入手可能性と質に関する問題 105
      • 5.2.3 市場機会 105
      • 5.2.4 課題 106
        • 5.2.4.1 データプライバシーとセキュリティ懸念 106
        • 5.2.4.2 偏りや不正確な出力に関する懸念 106
    • 5.3 人工知能開発の倫理と意義 107
      • 5.3.1 バイアスとフェアネス 107
      • 5.3.2 説明責任と信頼 107
      • 5.3.3 社会力学への影響 107
      • 5.3.4 プライバシーとセキュリティ 108
      • 5.3.5 透明性と説明可能性 108
    • 5.4 人工知能への投資 108
    • 5.5 人工知能市場における買収 111
    • 5.6 人工知能技術の進化 113
      • 5.6.1 人工知能のマイルストーン 114
      • 5.6.2 人工知能の自律レベル 116
        • 5.6.2.1 弱い人工知能／人工狭知能（ANI） 116
        • 5.6.2.2 強力な人工知能 116
          • 5.6.2.2.1 人工知能（AGI: Artificial General Intelligence） 116
          • 5.6.2.2.2 人工超知能（ASI） 117
    • 5.7 人工知能（AI）市場エコシステム 117
    • 5.8 ケーススタディ分析 125
      • 5.8.1 小売・eコマース 125
      • 5.8.2 ヘルスケア＆ライフサイエンス 126
      • 5.8.3 BFSI 128
      • 5.8.4 農業 129
      • 5.8.5 製造 130
      • 5.8.6 コンストラクション 131
      • 5.8.7 教育 132
        • 5.8.7.1 NC州立大学、Lumen5を活用してオンラインプレゼンスを向上 132
      • 5.8.8 エネルギー・公益 133
      • 5.8.9 自動車 133
        • 5.8.9.1 Zoox、AWSに自動運転車の開発促進を打診 133
      • 5.8.10 通信 134
      • 5.8.11 IT・ITES 134
    • 5.9 技術分析 135
      • 5.9.1 キーテクノロジー 135
        • 5.9.1.1 生成AI 135
        • 5.9.1.2 会話型AI 135
        • 5.9.1.3 自律型AIと自律型エージェント 136
        • 5.9.1.4 オートエムエル 136
        • 5.9.1.5 原因AI 136
        • 5.9.1.6 意思決定インテリジェンス 137
        • 5.9.1.7 MLOps 137
        • 5.9.1.8 組み込みAI 137
        • 5.9.1.9 コンポジットAI 138
      • 5.9.2 アディショナルテクノロジー 138
        • 5.9.2.1 予測分析 138
        • 5.9.2.2 IOT 138
        • 5.9.2.3 ビッグデータ 139
        • 5.9.2.4 拡張現実 139
        • 5.9.2.5 仮想現実 139
        • 5.9.2.6 センサーとロボティクス 140
    • 5.10 バリューチェーン分析 140
    • 5.11 ポーターのファイブフォース分析 142
      • 5.11.1 新規参入の脅威 143
      • 5.11.2 代替品の脅威 143
      • 5.11.3 サプライヤーの交渉力 143
      • 5.11.4 買い手の交渉力 143
      • 5.11.5 競合・競争状況の激しさ 144
    • 5.12 プライシングモデル分析 144
      • 5.12.1 主要商品の価格 144
      • 5.12.2 人工知能(AI)：平均販売価格 146
    • 5.13 特許分析 146
      • 5.13.1 調査手法 146
      • 5.13.2 ドキュメントタイプ 147
      • 5.13.3 イノベーション・特許 147
        • 5.13.3.1 上位の候補 148
    • 5.14 主な会議とイベント 152
    • 5.15 規制や関税の概観 155
      • 5.15.1 規制当局、政府機関、その他組織 155
      • 5.15.2 北米 159
        • 5.15.2.1 米国 159
          • 5.15.2.1.1 カリフォルニア州消費者プライバシー法（CCPA） 159
          • 5.15.2.1.2 健康保険の相互運用性と説明責任に関する法律（HIPAA) 159
          • 5.15.2.1.3 人工知能リスク管理フレームワーク1.0（RMF） 159
        • 5.15.2.2 カナダ 159
          • 5.15.2.2.1 カナダ公安省規則 159
      • 5.15.3 ヨーロッパ 159
        • 5.15.3.1 一般データ保護規則（GDPR） 159
        • 5.15.3.2 AIのEU規制枠組み 160
      • 5.15.4 アジア太平洋 160
        • 5.15.4.1 韓国 160
          • 5.15.4.1.1 個人情報保護法（PIPA） 160
        • 5.15.4.2 中国 160
        • 5.15.4.3 インド 160
      • 5.15.5 中東・アフリカ 160
        • 5.15.5.1 アラブ首長国連邦 161
          • 5.15.5.1.1 UAE AI規制 161
        • 5.15.5.2 KSA 161
          • 5.15.5.2.1 サウジアラビア国家AI戦略 161
        • 5.15.5.3 バーレーン 161
          • 5.15.5.3.1 バーレーンAI倫理フレームワーク 161
      • 5.15.6 ラテンアメリカ 161
        • 5.15.6.1 ブラジル 161
          • 5.15.6.1.1 ブラジルの一般データ保護法 161
        • 5.15.6.2 メキシコ 161
          • 5.15.6.2.1 メキシコの国家人工知能戦略 161
    • 5.16 主なステークホルダーと購入基準 162
      • 5.16.1 購買プロセスにおける主要ステークホルダー 162
      • 5.16.2 購買基準 163
    • 5.17 人工知能市場のバイヤー/顧客に影響を与えるトレンド/混乱 164
    • 5.18 人工知能市場におけるベストプラクティス 164
    • 5.19 技術ロードマップ 165
    • 5.20 ビジネスモデル 167

  • 6 人工知能(AI)の市場、オファリング別 169

    • 6.1 イントロダクション 170
      • 6.1.1 オファリング：人工知能(AI)市場のドライバー 170
    • 6.2 ハードウェア 172
      • 6.2.1 企業間競争の激化 172
      • 6.2.2 アクセラレータ 174
      • 6.2.3 プロセッサー 175
      • 6.2.4 メモリ半導体 181
        • 6.2.4.1 AIに特化したソリューションの進展 181
      • 6.2.5 ネットワーク 182
        • 6.2.5.1 ネットワーク内の様々なコンポーネント間でシームレスな通信を提供する必要がある 182
    • 6.3 ソフトウェア 183
      • 6.3.1 人工知能ソフトウェアがデータを合成し、コンピュータに複雑な操作を実行させる 183
      • 6.3.2 ソフトウェア：人工知能(AI)の市場、タイプ別 185
        • 6.3.2.1 訓練済みモデル 185
        • 6.3.2.2 カスタマイズ可能なAI 186
        • 6.3.2.3 エッジAI 187
        • 6.3.2.4 AIマーケットプレイス 188
      • 6.3.3 ソフトウェア：人工知能(AI)の市場、デプロイメント別 189
    • 6.4 サービス 193

  • 7 人工知能(AI)の市場、技術別 202

    • 7.1 イントロダクション 203
      • 7.1.1 技術：人工知能(AI)市場のドライバー 203
    • 7.2 機械学習 204
      • 7.2.1 計算能力の急速な成長 204
      • 7.2.2 ディープラーニング 206
        • 7.2.2.1 畳み込みニューラルネットワーク（CNN） 207
        • 7.2.2.2 リカレント・ニューラル・ネットワーク（RNN） 208
          • 7.2.2.2.1 生成的逆数ネットワーク (GAN) 208
          • 7.2.2.2.2 トランスフォーマー 208
      • 7.2.3 教師あり学習 210
      • 7.2.4 教師なし学習 211
      • 7.2.5 強化学習 212
    • 7.3 自然言語処理 213
    • 7.4 コンテキストアウェアネス 216
      • 7.4.1 パーソナライズされたユーザー・エクスペリエンスを創造し、意思決定を強化する高いニーズ 216
    • 7.5 コンピュータービジョン 217
      • 7.5.1 様々な分野でのコンピュータ・ビジョン技術の応用拡大 217

  • 8 人工知能(AI)の市場、ファンクション別 219

    • 8.1 イントロダクション 220
      • 8.1.1 ファンクション：人工知能(AI)市場のドライバー 220
    • 8.2 人工知能(AI)：企業ユースケース 222
    • 8.3 ファイナンス 222
      • 8.3.1 顧客属性をリアルタイムで分析する能力 222
      • 8.3.2 会計のAI化 223
      • 8.3.3 給与計算におけるAI 223
      • 8.3.4 ファイナンシャル・プランニングと分析におけるAI 224
      • 8.3.5 その他の財務機能 224
    • 8.4 セキュリティ 224
    • 8.5 人事 228
      • 8.5.1 個々のスキルのギャップに基づき、パーソナライズされたトレーニングを提案する必要性 228
      • 8.5.2 バーチャルアシスタント 229
      • 8.5.3 応募者トラッキングとアセスメント 229
      • 8.5.4 パーソナライズされた学習と能力開発 229
      • 8.5.5 HRアナリティクス 230
      • 8.5.6 レコメンデーションエンジン 230
      • 8.5.7 センチメント分析 230
      • 8.5.8 その他の人事機能 231
    • 8.6 法学 231
      • 8.6.1 テクノロジーに関する効率的かつ革新的な法的アドバイスの提供 231
      • 8.6.2 電子情報開示 232
      • 8.6.3 リーガルリサーチ 232
      • 8.6.4 契約分析 233
      • 8.6.5 ケースプレディクション 233
      • 8.6.6 コンプライアンス 233
      • 8.6.7 その他の法律機能 233
    • 8.7 セールス＆マーケティング 234
      • 8.7.1 顧客の嗜好と行動を予測する必要性 234
      • 8.7.2 ソーシャルメディア広告 235
      • 8.7.3 サーチ広告 235
      • 8.7.4 ダイナミックプライシング 235
      • 8.7.5 バーチャルアシスタント 235
      • 8.7.6 コンテンツキュレーション 236
      • 8.7.7 セールス＆マーケティング自動化 236
      • 8.7.8 セールス＆マーケティング戦略の最適化 236
      • 8.7.9 その他のマーケティング＆セールス機能 236
    • 8.8 オペレーション 237
      • 8.8.1 効率を高め、リソースの利用を最適化する能力 237
      • 8.8.2 プロジェクトマネジメント 238
      • 8.8.3 プロセス自動化 238
      • 8.8.4 インテリジェントドキュメントプロセッシング 238
      • 8.8.5 リソースの最適化 238
      • 8.8.6 プロセスの監視と制御 239
      • 8.8.7 その他の運営機能 239
    • 8.9 サプライチェーンマネジメント 239
      • 8.9.1 エンド・ツー・エンドの可視化とプロセスの最適化に対する企業の要求 239
      • 8.9.2 サプライチェーンの可視化 240
      • 8.9.3 サプライヤーマネジメント 241
      • 8.9.4 倉庫管理 241
      • 8.9.5 在庫の最適化 241
      • 8.9.6 需要予測 241
      • 8.9.7 その他 サプライ・マネジメント機能 242

  • 9 人工知能(AI)の市場、バーティカル別 243

    • 9.1 イントロダクション 244
      • 9.1.1 バーティカル：人工知能(AI)市場のドライバー 244
    • 9.2 BFSI 246
      • 9.2.1 高度なアルゴリズムとデータ分析の迅速な導入 246
      • 9.2.2 BFSI：人工知能(AI)の市場、用途別 247
      • 9.2.3 不正行為の検出と防止 248
      • 9.2.4 リスク評価と管理 248
      • 9.2.5 アルゴリズム的取引 248
      • 9.2.6 信用スコアリングと査定 248
      • 9.2.7 カスタマーサービス・オートメーション 249
      • 9.2.8 個人的なファイナンシャル・レコメンデーション 249
      • 9.2.9 投資ポートフォリオ管理 249
      • 9.2.10 規制遵守モニタリング 249
      • 9.2.11 その他のBFSIアプリケーション 250
    • 9.3 小売・eコマース 250
      • 9.3.1 パーソナライズされたショッピング体験の需要と顧客満足度の向上 250
      • 9.3.2 小売・eコマース：人工知能(AI)の市場、用途別 251
      • 9.3.3 パーソナライズされた商品推薦 252
      • 9.3.4 カスタマーリレーションシップマネジメント 252
      • 9.3.5 ビジュアルサーチ 253
      • 9.3.6 バーチャルカスタマーアシスタント 253
      • 9.3.7 価格の最適化 253
      • 9.3.8 決済サービス管理 253
      • 9.3.9 サプライチェーンマネジメント＆デマンドプランニング 254
      • 9.3.10 バーチャル店舗 254
      • 9.3.11 その他の小売・eコマース用途 254
    • 9.4 自動車、輸送・物流 254
      • 9.4.1 効率向上に対する需要の高まり 254
      • 9.4.2 自動車、輸送・物流：人工知能(AI)の市場、用途別 255
      • 9.4.3 半自律走行車と自律走行車 257
      • 9.4.4 ルート最適化 257
      • 9.4.5 インテリジェント交通管理 257
      • 9.4.6 ドライバー支援システム 257
      • 9.4.7 スマート物流・倉庫 258
      • 9.4.8 サプライチェーンの可視性とトラッキング 258
      • 9.4.9 フリートマネジメント 258
      • 9.4.10 車両診断とテレマティクス 258
      • 9.4.11 交通パターン分析 259
      • 9.4.12 その他の自動車、輸送、物流用途 259
    • 9.5 政府機関・防衛 259
      • 9.5.1 国家安全保障強化のための各国政府の取り組み 259
      • 9.5.2 政府機関・防衛：人工知能(AI)の市場、用途別 260
      • 9.5.3 スマートチケッティング 262
      • 9.5.4 自律監視システム 262
      • 9.5.5 法執行機関 262
      • 9.5.6 インテリジェンス分析とデータ処理 262
      • 9.5.7 国境警備・監視 263
      • 9.5.8 災害対応とディスカバリー・アシスタンス 263
      • 9.5.9 無人水中・空中機 263
      • 9.5.10 エゴガバナンスとデジタルシティ・サービス 264
      • 9.5.11 その他の政府・防衛関連アプリケーション 264
    • 9.6 ヘルスケア＆ライフサイエンス 264
      • 9.6.1 ヘルスケアのアウトカムを向上させるニーズの高まり 264
      • 9.6.2 ヘルスケア＆ライフサイエンス：人工知能(AI)の市場、用途別 265
      • 9.6.3 患者データ・リスク分析 267
      • 9.6.4 ライフスタイル管理＆モニタリングとウェアラブル 267
      • 9.6.5 精密医療 267
      • 9.6.6 入院医療・病院経営 267
      • 9.6.7 メディカルイメージング＆ダイアグノスティックス 268
      • 9.6.8 ドラッグ・ディスカバリー 268
      • 9.6.9 ロボット手術と支援 268
      • 9.6.10 医療リサーチ 269
      • 9.6.11 その他のヘルスケア＆ライフサイエンス・アプリケーション 269
    • 9.7 通信 269
      • 9.7.1 ネットワークパフォーマンスの最適化とネットワーク停止の防止 269
      • 9.7.2 通信：人工知能(AI)の市場、用途別 270
      • 9.7.3 ネットワークの最適化 272
      • 9.7.4 ネットワークセキュリティ 272
      • 9.7.5 カスタマーサービス＆サポート 272
      • 9.7.6 ネットワーク・アナリティクス 272
      • 9.7.7 インテリジェント・コール・ルーティング 273
      • 9.7.8 ネットワーク障害予測 273
      • 9.7.9 バーチャル・ネットワーク・アシスタント 273
      • 9.7.10 音声認識 273
      • 9.7.11 その他のテレコム・アプリケーション 274
    • 9.8 エネルギー・公益 274
      • 9.8.1 効率的なエネルギー利用とコスト削減 274
      • 9.8.2 エネルギー・公益：人工知能(AI)の市場、用途別 275
      • 9.8.3 エネルギー需要予測 276
      • 9.8.4 グリッドの最適化と管理 276
      • 9.8.5 エネルギー消費分析 277
      • 9.8.6 スマートメーターとエネルギーデータ管理 277
      • 9.8.7 エネルギー貯蔵の最適化 277
      • 9.8.8 リアルタイムエネルギー監視・制御 277
      • 9.8.9 電力品質の監視と管理 278
      • 9.8.10 エネルギー取引とマーケティング予測 278
      • 9.8.11 インテリジェント・エネルギー管理システム 278
      • 9.8.12 その他のエネルギー＆ユーティリティ用途 278
    • 9.9 製造 279
      • 9.9.1 インテリジェント・システムの導入によるオペレーションの自動化と最適化 279
      • 9.9.2 製造：人工知能(AI)の市場、用途別 280
      • 9.9.3 資材移動管理 281
      • 9.9.4 予測的保守と機械検査 281
      • 9.9.5 生産計画 281
      • 9.9.6 品質管理 281
      • 9.9.7 生産ラインの最適化 282
      • 9.9.8 インテリジェントな在庫管理 282
      • 9.9.9 自律型ロボット工学 282
      • 9.9.10 その他 製造用途 282
    • 9.10 農業 283
      • 9.10.1 環境影響を緩和する可能性の増加 283
      • 9.10.2 農業：人工知能(AI)の市場、用途別 284
      • 9.10.3 作物のモニタリングと収量予測 285
      • 9.10.4 精密農業 286
      • 9.10.5 土壌分析と栄養管理 286
      • 9.10.6 害虫と病気の検出 286
      • 9.10.7 灌漑の最適化と水管理 287
      • 9.10.8 自動収穫・選別 287
      • 9.10.9 雑草の検出と管理 287
      • 9.10.10 気象・気候モニタリング 287
      • 9.10.11 家畜のモニタリングと健康管理 288
      • 9.10.12 その他の農業用途 288
    • 9.11 IT・ITES 288
    • 9.12 メディア・エンターテインメント 293
    • 9.13 その他のバーティカル 297

  • 10 人工知能(AI)の市場、地域別 299

    • 10.1 イントロダクション 300
    • 10.2 北米 302
      • 10.2.1 北米：人工知能(AI)市場のドライバー 302
      • 10.2.2 北米：リセッション時のインパクト 302
      • 10.2.3 米国 323
        • 10.2.3.1 政府と企業による成長への取り組み 323
      • 10.2.4 カナダ 326
        • 10.2.4.1 研究とイノベーションのための技術導入の増加 326
    • 10.3 ヨーロッパ 328
      • 10.3.1 ヨーロッパ：人工知能(AI)市場のドライバー 329
      • 10.3.2 ヨーロッパ：リセッション時のインパクト 329
      • 10.3.3 英国 349
        • 10.3.3.1 政府による継続的な投資とイニシアチブ 349
      • 10.3.4 ドイツ 353
      • 10.3.5 フランス 355
        • 10.3.5.1 効率性と意思決定の改善への要求 355
      • 10.3.6 イタリア 356
        • 10.3.6.1 スタートアップ・エコシステムが繁栄する洗練されたテクノロジーの採用 356
      • 10.3.7 スペイン 358
        • 10.3.7.1 人工知能の普及に向けた政府の取り組み 358
      • 10.3.8 ノルディック 359
      • 10.3.9 バルカン半島 360
        • 10.3.9.1 第一線の技術を導入するための産学官連携 360
      • 10.3.10 その他ヨーロッパ 360
    • 10.4 アジア太平洋 361
      • 10.4.1 アジア太平洋：人工知能(AI)市場のドライバー 361
      • 10.4.2 アジア太平洋地域：景気後退の影響 361
      • 10.4.3 中国 371
        • 10.4.3.1 AI開発に有利な政府の取り組みと規制 371
      • 10.4.4 日本 374
        • 10.4.4.1 政府の取り組みと産業界の協力 374
      • 10.4.5 韓国 376
        • 10.4.5.1 市民サービス強化のための人工知能インフラへの政府投資 376
      • 10.4.6 インド 377
        • 10.4.6.1 イノベーションと産業変革のためのジェネレーティブAIの探求 377
      • 10.4.7 オーストラリア・ニュージーランド 379
        • 10.4.7.1 ジェネレーティブAIの応用によるビジネス実験 379
      • 10.4.8 ASEAN 380
        • 10.4.8.1 人工技術導入の進展 380
      • 10.4.9 その他アジア太平洋 382
    • 10.5 中東・アフリカ 382
      • 10.5.1 中東・アフリカ：人工知能(AI)市場のドライバー 382
      • 10.5.2 中東・アフリカ：景気後退の影響 382
      • 10.5.3 イスラエル 391
        • 10.5.3.1 さまざまな業種で人工知能の応用が拡大 391
      • 10.5.4 サウジアラビア王国 394
        • 10.5.4.1 主要産業における人工知能開発の重点化 394
      • 10.5.5 アラブ首長国連邦 396
        • 10.5.5.1 積極的な戦略の実施と規制の枠組みの確立 396
      • 10.5.6 エジプト 397
        • 10.5.6.1 産学連携による政府の取り組み 397
      • 10.5.7 トルコ 399
        • 10.5.7.1 経済成長の原動力となるイノベーションを育成する政府 399
      • 10.5.8 南アフリカ 400
        • 10.5.8.1 国内企業による先端技術の急速な導入 400
      • 10.5.9 その他の中東・アフリカ 402
    • 10.6 ラテンアメリカ 402
      • 10.6.1 ラテンアメリカ：人工知能(AI)市場のドライバー 402
      • 10.6.2 ラテンアメリカ：景気後退の影響 403
      • 10.6.3 ブラジル 412
        • 10.6.3.1 技術利用の倫理的バランスを求める声の高まり 412
      • 10.6.4 メキシコ 415
        • 10.6.4.1 デジタル先進国を目指して 415
      • 10.6.5 アルゼンチン 416
        • 10.6.5.1 プロセスを強化し、意思決定を改善するための人工知能の導入 416
      • 10.6.6 中米 418
      • 10.6.7 その他ラテンアメリカ 419

  • 11 競合情勢 420

    • 11.1 概要 420
    • 11.2 主要プレイヤー戦略 420
    • 11.3 収益分析 422
      • 11.3.1 収益推移の分析 423
    • 11.4 市場シェア分析 423
    • 11.5 企業評価４象限分類 425
      • 11.5.1 STARS 425
      • 11.5.2 EMERGING LEADERS 425
      • 11.5.3 PERVASIVE PLAYERS 425
      • 11.5.4 PARTICIPANTS 425
      • 11.5.5 競合ベンチマーキング 427
    • 11.6 スタートアップ/中小企業評価マトリックス 428
      • 11.6.1 PROGRESSIVE COMPANIES 428
      • 11.6.2 RESPONSIVE COMPANIES 428
      • 11.6.3 DYNAMIC COMPANIES 429
      • 11.6.4 STARTING BLOCKS 429
      • 11.6.5 スタートアップ/中小企業競合ベンチマーキング 430
    • 11.7 ARTIFICIAL INTELLIGENCE PRODUCT LANDSCAPE 434
    • 11.8 COMPETITIVE SCENARIO AND TRENDS 435
      • 11.8.1 製品展開 435
      • 11.8.2 ディール 438
    • 11.9 VALUATION AND FINANCIAL METRICS OF KEY ARTIFICIAL INTELLIGENCE VENDORS 440
    • 11.10 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND STOCK BETA OF KEY ARTIFICIAL INTELLIGENCE VENDORS 440

  • 12 企業プロファイル 441

    • 12.1 イントロダクション 441
    • 12.2 主要企業 441
      • 12.2.1 GOOGLE 441
      • 12.2.2 MICROSOFT 451
      • 12.2.3 IBM 460
      • 12.2.4 ORACLE 468
      • 12.2.5 AWS 476
      • 12.2.6 INTEL 484
      • 12.2.7 SALESFORCE 490
      • 12.2.8 SAP 498
      • 12.2.9 CISCO 506
      • 12.2.10 META 511
      • 12.2.11 HPE 518
      • 12.2.12 SIEMENS 524
      • 12.2.13 NVIDIA 529
      • 12.2.14 BAIDU 535
      • 12.2.15 SAS INSTITUTE 540
      • 12.2.16 OPENAI 545
      • 12.2.17 H20.AI 547
      • 12.2.18 IFLYTEK 553
      • 12.2.19 HUAWEI 556
      • 12.2.20 ALIBABA CLOUD 559
    • 12.3 その他の企業 563
      • 12.3.1 GENERAL VISION 563
      • 12.3.2 DARKTRACE 564
      • 12.3.3 BLACKBERRY LIMITED 565
      • 12.3.4 DIDI GLOBAL 566
      • 12.3.5 FACE++ 566
      • 12.3.6 INBENTA 567
      • 12.3.7 ANJU SOFTWARE 568
      • 12.3.8 BUTTERFLY NETWORK 569
      • 12.3.9 ATOMWISE 570
      • 12.3.10 AIBRAIN 571
      • 12.3.11 SK HYNIX 572
      • 12.3.12 PROGRESS 573
      • 12.3.13 PRECISIONHAWK 574
      • 12.3.14 AGEAGLE AERIAL SYSTEM 575
      • 12.3.15 NEURALA 576
      • 12.3.16 TWITTER 577
      • 12.3.17 AUREA SOFTWARE 578
      • 12.3.18 PERSADO 579
      • 12.3.19 8X8 580
      • 12.3.20 APPIER 581
      • 12.3.21 GUMGUM 582
      • 12.3.22 IPRO 583
      • 12.3.23 GRAPHCORE 584
      • 12.3.24 PREFERRED NETWORKS 585
      • 12.3.25 APPLIED BRAIN RESEARCH 586
      • 12.3.26 PILOT AI 586
      • 12.3.27 IRIS AUTOMATION 587
      • 12.3.28 GAMAYA 588
      • 12.3.29 EC2CE 589
      • 12.3.30 DESCARTES LABS 590
      • 12.3.31 MYTHIC 591
      • 12.3.32 ADA 592
      • 12.3.33 MOSTLY AI 592
      • 12.3.34 SENTIENT.IO 593
      • 12.3.35 LUMEN5 594
      • 12.3.36 AERA TECHNOLOGY 594
    • 12.4 STARTUPS 595
      • 12.4.1 AIスーペリア 595
      • 12.4.2 フォスフォー 596
      • 12.4.3 本質的な 596
      • 12.4.4 ジャスパー 597
      • 12.4.5 サウンドフル 597
      • 12.4.6 ライトソニック 598
      • 12.4.7 一つのAI 599

  • 13 関連市場 600

    • 13.1 関連市場 600
      • 13.1.1 イントロダクション 600
      • 13.1.2 ジェネレーティブAI市場 - 2028年までの世界予測 600
        • 13.1.2.1 市場の定義 600
        • 13.1.2.2 市場概要 600
          • 13.1.2.2.1 生成AIの市場、オファリング別 601
          • 13.1.2.2.2 生成AIの市場、用途別 602
          • 13.1.2.2.3 生成AIの市場、バーティカル別 605
          • 13.1.2.2.4 生成AIの市場、地域別 606
      • 13.1.3 会話AI市場 - 2028年までの世界予測 607
        • 13.1.3.1 市場の定義 607
        • 13.1.3.2 市場概要 607
          • 13.1.3.2.1 会話型AIの市場、オファリング別 608
          • 13.1.3.2.2 会話型AIの市場、ファンクション別 608
          • 13.1.3.2.3 会話型AIの市場、チャネル別 609
          • 13.1.3.2.4 会話AI市場、会話インターフェース別 610
          • 13.1.3.2.5 会話型AIの市場、技術別 611
          • 13.1.3.2.6 会話型AIの市場、バーティカル別 611
          • 13.1.3.2.7 会話型AIの市場、地域別 612

  • 14 付録 614

    • 14.1 ディスカッションガイド 614
    • 14.2 ナレッジストア 621
    • 14.3 カスタマイズオプション 623
    • 14.4 関連レポート 623
    • 14.5 執筆者の詳細 624

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Description

The artificial intelligence market size to grow from USD 150.2 billion in 2023 to USD 1,345.2 billion by 2030, at a Compound Annual Growth Rate (CAGR) of 36.8% during the forecast period. Businesses harness the power of artificial intelligence (AI) to streamline job processes and aggregate business data effectively. Artificial Intelligence utilizes extensive data to recognize patterns in users' search behaviors, providing them with more pertinent information based on their specific circumstances. With the continuous advancement of AI technology and the growing usage of devices, users can anticipate an increasingly personalized and customizable experience. Based on technology Machine Learning to register for the largest market size during the forecast period Based on technology, the artificial intelligence market is segmented into Machine Learning, NLP, Context Awareness, and Computer Vision. Machine learning plays a crucial role in advancing artificial intelligence technology. It leverages statistical models and algorithms to enable computers to automatically learn from data, identify complex patterns, and make data-driven predictions or decisions. Machine learning also empowers AI systems to adapt, improve, and optimize their performance based on available data, leading to intelligent and autonomous behavior. Consequently, during the forecast period, machine learning technology is anticipated to hold the largest market size. The supply chain management segment to account for the highest CAGR during the forecast period Based on business function, the artificial intelligence market is segmented into finance, security, human resources, marketing and sales, operations, supply chain management and law. Artificial intelligence technology revolutionizes supply chain management by leveraging advanced machine learning algorithms and predictive analytics. The application of artificial intelligence in supply chain management empowers organizations to make data-driven decisions, automate routine tasks, and optimize resource allocation, ultimately driving cost savings, improved productivity, and competitive advantage in today's complex business landscape. During the forecast period the supply chain management is anticipated to grow at the highest CAGR. North America to account for the largest market size during the forecast period North America is estimated to account for the largest share in the artificial intelligence market. The adoption of artificial intelligence (AI) in North America is experiencing significant growth across various industries. Companies are leveraging AI technologies such as machine learning, natural language processing (NLP), and computer vision to enhance operations, improve customer experiences, and drive innovation. The region's robust AI ecosystem, well-established infrastructure, and abundance of skilled talent contribute to its leadership in AI adoption, fostering remarkable technological advancements and substantial economic growth. Breakdown of primaries In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the artificial intelligence market.  By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%  By Designation: C-Level Executives: 35%, D-Level Executives: 25%, and Others: 40%  By Region: North America: 40%, Asia Pacific: 30%, Europe: 20%, Middle East & Africa: 5%, Latin America: 5% The report includes the study of key players offering artificial intelligence. It profiles major vendors in the artificial intelligence market. The major players in the artificial intelligence market include Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), Meta (US), HPE (US), Siemens (Germany), Huawei (China), NVIDIA (US), Baidu (China), SAS Institute (US), OpenAI (US), H2O.ai (US), iFLYTEK (China), Alibaba Cloud (China), General Vision (US), Darktrace (UK), Blackberry Limited (Canada), DiDi Global (China), Face++ (China), Inbenta (US), Anju Software (US), Butterfly Network (US), Atomwise (US), AIBrain (US), SK Hynix (South Korea), Progress (US), PrecisionHawk (US), AgEagle Aerial System (US), Neurala (US), Twitter (US), Aurea Software (US), Persado (US), 8x8 (US), Appier (Taiwan), GumGum (US), IPRO (US), Graphcore (UK), Preferred Networks (Japan), Applied Brain Research (Canada), Pilot AI (US), Iris Automation (US), Gamaya (Switzerland), ec2ce (Spain), Descartes Labs (US), Mythic (US), Ada (Canada), Mostly AI (Austria), Sentient.io (Singapore), Lumen5 (Canada), AI Superior (Germany), Fosfor (India), Intrinsic (US), Jasper (US), Soundful (US), Writesonic (US), One AI (Israel). Research Coverage The market study covers the artificial intelligence market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as offering, technology, business function, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies. Key Benefits of Buying the Report The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall artificial intelligence market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities. The report provides insights on the following pointers: • Analysis of key drivers (Growth in the adoption of autonomous artificial intelligence, Rising advancement and innovations in AI technology, Rising advancement in deep learning and growth of data based AI), restraints (Shortage of skilled AI professionals, Issues related with data availability and quality), opportunities (Rapid growth in the digital data form various sources, Rising investment in AI research and development by businesses and government), and challenges (Data privacy and security concerns, Concerns related to inaccurately and bias generated output) influencing the growth of the AI market • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI market. • Market Development: Comprehensive information about lucrative markets – the report analyses the AI market across varied regions • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in AI market strategies; the report also helps stakeholders understand the pulse of the AI market and provides them with information on key market drivers, restraints, challenges, and opportunities • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), and SAP (Germany), among others in the AI market.

Table of Contents

  • 1 INTRODUCTION 71

    • 1.1 STUDY OBJECTIVES 71
    • 1.2 MARKET DEFINITION 71
      • 1.2.1 INCLUSIONS & EXCLUSIONS 72
    • 1.3 MARKET SCOPE 73
      • 1.3.1 MARKET SEGMENTATION 73
      • 1.3.2 REGIONS COVERED 75
      • 1.3.3 YEARS CONSIDERED 75
    • 1.4 CURRENCY CONSIDERED 76
    • 1.5 STAKEHOLDERS 76
    • 1.6 SUMMARY OF CHANGES 76
      • 1.6.1 IMPACT OF RECESSION 77

  • 2 RESEARCH METHODOLOGY 78

    • 2.1 RESEARCH DATA 78
      • 2.1.1 SECONDARY DATA 79
      • 2.1.2 PRIMARY DATA 79
        • 2.1.2.1 Breakup of primary profiles 80
        • 2.1.2.2 Key industry insights 80
    • 2.2 DATA TRIANGULATION 81
    • 2.3 MARKET SIZE ESTIMATION 82
      • 2.3.1 TOP-DOWN APPROACH 82
      • 2.3.2 BOTTOM-UP APPROACH 83
    • 2.4 MARKET FORECAST 87
    • 2.5 ASSUMPTIONS 88
    • 2.6 LIMITATIONS 90
    • 2.7 IMPLICATION OF RECESSION ON GLOBAL ARTIFICIAL INTELLIGENCE MARKET 90

  • 3 EXECUTIVE SUMMARY 91

  • 4 PREMIUM INSIGHTS 99

    • 4.1 ATTRACTIVE OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE MARKET PLAYERS 99
    • 4.2 OVERVIEW OF RECESSION IN GLOBAL ARTIFICIAL INTELLIGENCE MARKET 100
    • 4.3 ARTIFICIAL INTELLIGENCE MARKET, BY KEY BUSINESS FUNCTION 100
    • 4.4 ARTIFICIAL INTELLIGENCE MARKET, BY KEY OFFERING AND VERTICAL 101
    • 4.5 ARTIFICIAL INTELLIGENCE MARKET, BY REGION 101

  • 5 MARKET OVERVIEW AND INDUSTRY TRENDS 102

    • 5.1 INTRODUCTION 102
    • 5.2 MARKET DYNAMICS 102
      • 5.2.1 DRIVERS 103
        • 5.2.1.1 Growth in adoption of autonomous artificial intelligence 103
        • 5.2.1.2 Rise in technological advancements and innovations 103
        • 5.2.1.3 Advancements in deep learning and growth of data-based artificial intelligence 104
      • 5.2.2 RESTRAINTS 104
        • 5.2.2.1 Shortage of skilled artificial intelligence professionals 104
        • 5.2.2.2 Issues related to data availability and quality 105
      • 5.2.3 OPPORTUNITIES 105
        • 5.2.3.1 Rapid growth in digital data from various sources 105
        • 5.2.3.2 Rise in investment in research & development by businesses and governments 105
      • 5.2.4 CHALLENGES 106
        • 5.2.4.1 Data privacy and security concerns 106
        • 5.2.4.2 Concerns related to bias and inaccurately generated output 106
    • 5.3 ETHICS AND IMPLICATIONS OF ARTIFICIAL INTELLIGENCE DEVELOPMENT 107
      • 5.3.1 BIAS AND FAIRNESS 107
      • 5.3.2 ACCOUNTABILITY AND TRUST 107
      • 5.3.3 IMPACT ON SOCIAL DYNAMICS 107
      • 5.3.4 PRIVACY AND SECURITY 108
      • 5.3.5 TRANSPARENCY AND EXPLAINABILITY 108
    • 5.4 INVESTMENTS IN ARTIFICIAL INTELLIGENCE 108
    • 5.5 ACQUISITIONS IN ARTIFICIAL INTELLIGENCE MARKET 111
    • 5.6 EVOLUTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY 113
      • 5.6.1 MILESTONES OF ARTIFICIAL INTELLIGENCE 114
      • 5.6.2 AUTONOMY LEVELS OF ARTIFICIAL INTELLIGENCE 116
        • 5.6.2.1 Weak artificial intelligence/Artificial Narrow Intelligence (ANI) 116
        • 5.6.2.2 Strong artificial intelligence 116
          • 5.6.2.2.1 Artificial General Intelligence (AGI) 116
          • 5.6.2.2.2 Artificial Super Intelligence (ASI) 117
    • 5.7 ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM 117
    • 5.8 CASE STUDY ANALYSIS 125
      • 5.8.1 RETAIL & ECOMMERCE 125
        • 5.8.1.1 ASOS used Microsoft Azure’s ML service to reduce time-to-market for recommendations model 125
        • 5.8.1.2 AWS’ technologies helped Artfinder offer recommendations to customers 125
        • 5.8.1.3 Formosa Optical approached Appier to optimize customer satisfaction and unblock retail opportunity 126
      • 5.8.2 HEALTHCARE & LIFE SCIENCES 126
        • 5.8.2.1 Tamil Nadu eGovernance Agency (TNeGA) used an AI-based mobile app to enable screening of people for cataract 126
        • 5.8.2.2 Inspire used ML to connect millions of patients and caregivers on AWS 127
        • 5.8.2.3 UCSF Health leverages H2O document artificial intelligence to automate workflows in healthcare 127
      • 5.8.3 BFSI 128
        • 5.8.3.1 Humana used Watson Assistant to address customer queries 128
        • 5.8.3.2 PayPal collaborated with H2O.ai to improve fraud detection accuracy and decrease its time 128
        • 5.8.3.3 Vanguard Institutional utilized Persado to scale its personalization efforts for customer messages 129
      • 5.8.4 AGRICULTURE 129
        • 5.8.4.1 Biochemical company built digital solution to deliver accurate product recommendations using artificial intelligence 129
        • 5.8.4.2 Agrochemical company used precision farming solutions to predict mildew disease in crops 130
      • 5.8.5 MANUFACTURING 130
        • 5.8.5.1 Kia Motors America relied on artificial intelligence solutions from SAS to improve its customer satisfaction 130
        • 5.8.5.2 US-based Fortune 500 home appliances corporation approached Fosfor to improve its warranty and after-sales management 131
      • 5.8.6 CONSTRUCTION 131
        • 5.8.6.1 General Contractor leveraged ALICE on Silicon Valley Project to save millions 131
      • 5.8.7 EDUCATION 132
        • 5.8.7.1 NC State University leveraged Lumen5 to boost its online presence 132
      • 5.8.8 ENERGY & UTILITIES 133
        • 5.8.8.1 Kore.ai enabled energy company to enhance customer service with conversational AI 133
      • 5.8.9 AUTOMOTIVE 133
        • 5.8.9.1 Zoox approached AWS to boost development of self-driving cars 133
      • 5.8.10 TELECOM 134
        • 5.8.10.1 Vodafone utilized Persado’s Motivation AI to develop creative campaigns through generative AI 134
      • 5.8.11 IT/ITES 134
        • 5.8.11.1 Twilio leveraged Aisera’s generative AI technology and service to scale IT operations 134
    • 5.9 TECHNOLOGY ANALYSIS 135
      • 5.9.1 KEY TECHNOLOGIES 135
        • 5.9.1.1 Generative AI 135
        • 5.9.1.2 Conversational AI 135
        • 5.9.1.3 Autonomous AI & Autonomous Agent 136
        • 5.9.1.4 AutoML 136
        • 5.9.1.5 Causal AI 136
        • 5.9.1.6 Decision Intelligence 137
        • 5.9.1.7 MLOps 137
        • 5.9.1.8 Embedded AI 137
        • 5.9.1.9 Composite AI 138
      • 5.9.2 ADJACENT TECHNOLOGIES 138
        • 5.9.2.1 Predictive Analytics 138
        • 5.9.2.2 IoT 138
        • 5.9.2.3 Big Data 139
        • 5.9.2.4 Augmented Reality 139
        • 5.9.2.5 Virtual Reality 139
        • 5.9.2.6 Sensors and Robotics 140
    • 5.10 VALUE CHAIN ANALYSIS 140
    • 5.11 PORTER’S FIVE FORCES ANALYSIS 142
      • 5.11.1 THREAT OF NEW ENTRANTS 143
      • 5.11.2 THREAT OF SUBSTITUTES 143
      • 5.11.3 BARGAINING POWER OF SUPPLIERS 143
      • 5.11.4 BARGAINING POWER OF BUYERS 143
      • 5.11.5 INTENSITY OF COMPETITIVE RIVALRY 144
    • 5.12 PRICING MODEL ANALYSIS 144
      • 5.12.1 INDICATIVE PRICING OF KEY OFFERINGS 144
      • 5.12.2 ARTIFICIAL INTELLIGENCE: AVERAGE SELLING PRICES 146
    • 5.13 PATENT ANALYSIS 146
      • 5.13.1 METHODOLOGY 146
      • 5.13.2 DOCUMENT TYPE 147
      • 5.13.3 INNOVATION AND PATENT APPLICATIONS 147
        • 5.13.3.1 Top applicants 148
    • 5.14 KEY CONFERENCES AND EVENTS 152
    • 5.15 TARIFF AND REGULATORY LANDSCAPE 155
      • 5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 155
      • 5.15.2 NORTH AMERICA 159
        • 5.15.2.1 US 159
          • 5.15.2.1.1 California Consumer Privacy Act (CCPA) 159
          • 5.15.2.1.2 Health Insurance Portability and Accountability Act (HIPAA) 159
          • 5.15.2.1.3 Artificial Intelligence Risk Management Framework 1.0 (RMF) 159
        • 5.15.2.2 Canada 159
          • 5.15.2.2.1 Public Safety Canada Regulation 159
      • 5.15.3 EUROPE 159
        • 5.15.3.1 General Data Protection Regulation (GDPR) 159
        • 5.15.3.2 EU Regulatory Framework for AI 160
      • 5.15.4 ASIA PACIFIC 160
        • 5.15.4.1 South Korea 160
          • 5.15.4.1.1 Personal Information Protection Act (PIPA) 160
        • 5.15.4.2 China 160
        • 5.15.4.3 India 160
      • 5.15.5 MIDDLE EAST & AFRICA 160
        • 5.15.5.1 UAE 161
          • 5.15.5.1.1 UAE AI Regulations 161
        • 5.15.5.2 KSA 161
          • 5.15.5.2.1 Saudi Arabia National AI Strategy 161
        • 5.15.5.3 Bahrain 161
          • 5.15.5.3.1 Bahrain AI Ethics Framework 161
      • 5.15.6 LATIN AMERICA 161
        • 5.15.6.1 Brazil 161
          • 5.15.6.1.1 Brazil’s General Data Protection Law 161
        • 5.15.6.2 Mexico 161
          • 5.15.6.2.1 Mexico’s National Artificial Intelligence Strategy 161
    • 5.16 KEY STAKEHOLDERS AND BUYING CRITERIA 162
      • 5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS 162
      • 5.16.2 BUYING CRITERIA 163
    • 5.17 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN ARTIFICIAL INTELLIGENCE MARKET 164
    • 5.18 BEST PRACTICES IN ARTIFICIAL INTELLIGENCE MARKET 164
    • 5.19 TECHNOLOGY ROADMAP 165
    • 5.20 BUSINESS MODELS 167

  • 6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING 169

    • 6.1 INTRODUCTION 170
      • 6.1.1 OFFERING: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 170
    • 6.2 HARDWARE 172
      • 6.2.1 RISE IN COMPETITION AMONG BUSINESSES 172
      • 6.2.2 ACCELERATORS 174
        • 6.2.2.1 Rise in demand for more optimized processing in artificial intelligence applications 174
      • 6.2.3 PROCESSORS 175
        • 6.2.3.1 Technological advancements pave way for smaller, more powerful, and more efficient chips 175
        • 6.2.3.2 Microprocessing units 177
        • 6.2.3.3 Graphics processing units 178
        • 6.2.3.4 Field programmable gate arrays 179
        • 6.2.3.5 Other processors 180
      • 6.2.4 MEMORY 181
        • 6.2.4.1 Advancements in specialized solutions in AI 181
      • 6.2.5 NETWORK 182
        • 6.2.5.1 Need to offer seamless communication between various components within network 182
    • 6.3 SOFTWARE 183
      • 6.3.1 ARTIFICIAL INTELLIGENCE SOFTWARE SYNTHESIZES DATA FOR COMPUTERS TO PERFORM COMPLEX OPERATIONS 183
      • 6.3.2 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 185
        • 6.3.2.1 Pre-trained models 185
        • 6.3.2.2 Customizable AI 186
          • 6.3.2.2.1 Tailoring artificial intelligence models for specific requirements and enhanced performance 186
        • 6.3.2.3 Edge AI 187
          • 6.3.2.3.1 Need to deploy artificial intelligence algorithms directly on devices 187
        • 6.3.2.4 AI marketplaces 188
          • 6.3.2.4.1 Need to access and leverage wide range of artificial intelligence resources 188
      • 6.3.3 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT 189
        • 6.3.3.1 On-premises 191
          • 6.3.3.1.1 Need for stringent data privacy and security policies 191
        • 6.3.3.2 Cloud 192
          • 6.3.3.2.1 Ability to offer flexibility in terms of resource allocation 192
    • 6.4 SERVICES 193
      • 6.4.1 COMPLEX ALGORITHMS OF TECHNOLOGIES PROVIDING ONLINE AND OFFLINE SUPPORT SERVICES TO ARTIFICIAL INTELLIGENCE VENDORS 193
      • 6.4.2 PROFESSIONAL SERVICES 195
        • 6.4.2.1 Greater need for comprehensive support for deploying power of artificial solutions 195
          • 6.4.2.1.1 Consulting services 197
            • 6.4.2.1.1.1 Training & education 198
            • 6.4.2.1.1.2 Designing & testing 198
          • 6.4.2.1.2 Deployment & integration 198
          • 6.4.2.1.3 Support & maintenance 199
      • 6.4.3 MANAGED SERVICES 200
        • 6.4.3.1 Ensuring seamless artificial intelligence infrastructure 200

  • 7 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY 202

    • 7.1 INTRODUCTION 203
      • 7.1.1 TECHNOLOGY: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 203
    • 7.2 MACHINE LEARNING 204
      • 7.2.1 RAPID GROWTH IN COMPUTATIONAL CAPABILITIES 204
      • 7.2.2 DEEP LEARNING 206
        • 7.2.2.1 Convolutional Neural Networks (CNN) 207
        • 7.2.2.2 Recurrent Neural Networks (RNN) 208
          • 7.2.2.2.1 Generative Adversarial Networks (GAN) 208
          • 7.2.2.2.2 Transformers 208
            • 7.2.2.2.2.1 GPT 1 209
            • 7.2.2.2.2.2 GPT 2 209
            • 7.2.2.2.2.3 GPT 3 209
            • 7.2.2.2.2.4 GPT 4 209
            • 7.2.2.2.2.5 Large Language Model (LLM) 210
      • 7.2.3 SUPERVISED LEARNING 210
      • 7.2.4 UNSUPERVISED LEARNING 211
      • 7.2.5 REINFORCEMENT LEARNING 212
    • 7.3 NATURAL LANGUAGE PROCESSING 213
      • 7.3.1 NEED TO PROCESS VAST AMOUNTS OF VOICE AND TEXT DATA FROM VARIOUS SOURCES 213
        • 7.3.1.1 Natural Language Understanding (NLU) 215
        • 7.3.1.2 Natural Language Generation (NLG) 215
    • 7.4 CONTEXT AWARENESS 216
      • 7.4.1 HIGHER NEED TO CREATE PERSONALIZED USER EXPERIENCE AND ENHANCE DECISION-MAKING 216
    • 7.5 COMPUTER VISION 217
      • 7.5.1 GROWTH IN APPLICATION OF COMPUTER VISION TECHNOLOGY ACROSS VARIOUS VERTICALS 217

  • 8 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION 219

    • 8.1 INTRODUCTION 220
      • 8.1.1 BUSINESS FUNCTION: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 220
    • 8.2 ARTIFICIAL INTELLIGENCE: ENTERPRISE USE CASES 222
    • 8.3 FINANCE 222
      • 8.3.1 ABILITY TO PROVIDE REAL-TIME ANALYSIS OF CUSTOMER DEMOGRAPHICS 222
      • 8.3.2 AI IN ACCOUNTING 223
      • 8.3.3 AI IN PAYROLL 223
      • 8.3.4 AI IN FINANCIAL PLANNING & ANALYSIS 224
      • 8.3.5 OTHER FINANCE FUNCTIONS 224
    • 8.4 SECURITY 224
      • 8.4.1 ENSURING CONFIDENTIALITY OF CRITICAL BUSINESS DATA WITH RAPID ADOPTION OF ARTIFICIAL INTELLIGENCE 224
      • 8.4.2 IDENTITY & ACCESS MANAGEMENT 225
      • 8.4.3 RISK & COMPLIANCE MANAGEMENT 225
      • 8.4.4 ENCRYPTION 226
      • 8.4.5 DATA LOSS PREVENTION 226
      • 8.4.6 UNIFIED THREAT MANAGEMENT 226
      • 8.4.7 ANTIVIRUS/ANTIMALWARE 227
      • 8.4.8 INTRUSION DETECTION/PREVENTION SYSTEMS 227
      • 8.4.9 OTHER SECURITY FUNCTIONS 227
    • 8.5 HUMAN RESOURCES 228
      • 8.5.1 NEED TO OFFER PERSONALIZED TRAINING RECOMMENDATIONS BASED ON INDIVIDUAL SKILL GAPS 228
      • 8.5.2 VIRTUAL ASSISTANT 229
      • 8.5.3 APPLICANT TRACKING & ASSESSMENT 229
      • 8.5.4 PERSONALIZED LEARNING & DEVELOPMENT 229
      • 8.5.5 HR ANALYTICS 230
      • 8.5.6 RECOMMENDATION ENGINE 230
      • 8.5.7 SENTIMENT ANALYSIS 230
      • 8.5.8 OTHER HUMAN RESOURCE FUNCTIONS 231
    • 8.6 LAW 231
      • 8.6.1 PROVIDING EFFICIENT AND INNOVATIVE LEGAL ADVICE ON TECHNOLOGIES 231
      • 8.6.2 EDISCOVERY 232
      • 8.6.3 LEGAL RESEARCH 232
      • 8.6.4 CONTRACT ANALYSIS 233
      • 8.6.5 CASE PREDICTION 233
      • 8.6.6 COMPLIANCE 233
      • 8.6.7 OTHER LAW FUNCTIONS 233
    • 8.7 MARKETING & SALES 234
      • 8.7.1 NEED TO FORECAST CUSTOMER PREFERENCES AND BEHAVIOR 234
      • 8.7.2 SOCIAL MEDIA ADVERTISING 235
      • 8.7.3 SEARCH ADVERTISING 235
      • 8.7.4 DYNAMIC PRICING 235
      • 8.7.5 VIRTUAL ASSISTANT 235
      • 8.7.6 CONTENT CURATION 236
      • 8.7.7 SALES & MARKETING AUTOMATION 236
      • 8.7.8 OPTIMIZING SALES & MARKETING STRATEGIES 236
      • 8.7.9 OTHER MARKETING & SALES FUNCTIONS 236
    • 8.8 OPERATIONS 237
      • 8.8.1 ABILITY TO ENHANCE EFFICIENCY AND OPTIMIZE RESOURCE UTILIZATION 237
      • 8.8.2 PROJECT MANAGEMENT 238
      • 8.8.3 PROCESS AUTOMATION 238
      • 8.8.4 INTELLIGENT DOCUMENT PROCESSING 238
      • 8.8.5 RESOURCE OPTIMIZATION 238
      • 8.8.6 PROCESS MONITORING & CONTROL 239
      • 8.8.7 OTHER OPERATIONAL FUNCTIONS 239
    • 8.9 SUPPLY CHAIN MANAGEMENT 239
      • 8.9.1 DEMAND FROM BUSINESSES TO ACHIEVE END-TO-END VISIBILITY AND OPTIMIZE PROCESSES 239
      • 8.9.2 SUPPLY CHAIN VISIBILITY 240
      • 8.9.3 SUPPLIER MANAGEMENT 241
      • 8.9.4 WAREHOUSE MANAGEMENT 241
      • 8.9.5 INVENTORY OPTIMIZATION 241
      • 8.9.6 DEMAND FORECASTING 241
      • 8.9.7 OTHERS SUPPLY MANAGEMENT FUNCTIONS 242

  • 9 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL 243

    • 9.1 INTRODUCTION 244
      • 9.1.1 VERTICAL: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 244
    • 9.2 BFSI 246
      • 9.2.1 RAPID ADOPTION OF ADVANCED ALGORITHMS AND DATA ANALYSIS 246
      • 9.2.2 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 247
      • 9.2.3 FRAUD DETECTION & PREVENTION 248
      • 9.2.4 RISK ASSESSMENT & MANAGEMENT 248
      • 9.2.5 ALGORITHMIC TRADING 248
      • 9.2.6 CREDIT SCORING & UNDERWRITING 248
      • 9.2.7 CUSTOMER SERVICE AUTOMATION 249
      • 9.2.8 PERSONALIZED FINANCIAL RECOMMENDATION 249
      • 9.2.9 INVESTMENT PORTFOLIO MANAGEMENT 249
      • 9.2.10 REGULATORY COMPLIANCE MONITORING 249
      • 9.2.11 OTHER BFSI APPLICATIONS 250
    • 9.3 RETAIL & ECOMMERCE 250
      • 9.3.1 DEMAND FOR PERSONALIZED SHOPPING EXPERIENCE AND ENHANCE CUSTOMER SATISFACTION 250
      • 9.3.2 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 251
      • 9.3.3 PERSONALIZED PRODUCT RECOMMENDATION 252
      • 9.3.4 CUSTOMER RELATIONSHIP MANAGEMENT 252
      • 9.3.5 VISUAL SEARCH 253
      • 9.3.6 VIRTUAL CUSTOMER ASSISTANT 253
      • 9.3.7 PRICE OPTIMIZATION 253
      • 9.3.8 PAYMENT SERVICE MANAGEMENT 253
      • 9.3.9 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING 254
      • 9.3.10 VIRTUAL STORES 254
      • 9.3.11 OTHER RETAIL & ECOMMERCE APPLICATIONS 254
    • 9.4 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS 254
      • 9.4.1 HIGHER DEMAND FOR ENHANCED EFFICIENCY 254
      • 9.4.2 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 255
      • 9.4.3 SEMI-AUTONOMOUS & AUTONOMOUS VEHICLES 257
      • 9.4.4 ROUTE OPTIMIZATION 257
      • 9.4.5 INTELLIGENT TRAFFIC MANAGEMENT 257
      • 9.4.6 DRIVER ASSISTANCE SYSTEM 257
      • 9.4.7 SMART LOGISTICS & WAREHOUSING 258
      • 9.4.8 SUPPLY CHAIN VISIBILITY & TRACKING 258
      • 9.4.9 FLEET MANAGEMENT 258
      • 9.4.10 VEHICLE DIAGNOSTICS AND TELEMATICS 258
      • 9.4.11 TRAFFIC PATTERN ANALYSIS 259
      • 9.4.12 OTHER AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS APPLICATIONS 259
    • 9.5 GOVERNMENT & DEFENSE 259
      • 9.5.1 INITIATIVES TAKEN BY GOVERNMENTS TO STRENGTHEN NATIONAL SECURITY 259
      • 9.5.2 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 260
      • 9.5.3 SMART TICKETING 262
      • 9.5.4 AUTONOMOUS SURVEILLANCE & MONITORING SYSTEMS 262
      • 9.5.5 LAW ENFORCEMENT 262
      • 9.5.6 INTELLIGENCE ANALYSIS & DATA PROCESSING 262
      • 9.5.7 BORDER SECURITY & SURVEILLANCE 263
      • 9.5.8 DISASTER RESPONSE & DISCOVERY ASSISTANCE 263
      • 9.5.9 UNMANNED UNDERWATER AND AERIAL VEHICLES 263
      • 9.5.10 EGOVERNANCE & DIGITAL CITY SERVICES 264
      • 9.5.11 OTHER GOVERNMENT & DEFENSE APPLICATIONS 264
    • 9.6 HEALTHCARE & LIFESCIENCES 264
      • 9.6.1 BURGEONING NEED TO ENHANCE HEALTHCARE OUTCOMES 264
      • 9.6.2 HEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 265
      • 9.6.3 PATIENT DATA & RISK ANALYSIS 267
      • 9.6.4 LIFESTYLE MANAGEMENT & MONITORING AND WEARABLES 267
      • 9.6.5 PRECISION MEDICINE 267
      • 9.6.6 INPATIENT CARE & HOSPITAL MANAGEMENT 267
      • 9.6.7 MEDICAL IMAGING & DIAGNOSTICS 268
      • 9.6.8 DRUG DISCOVERY 268
      • 9.6.9 ROBOTICS SURGERY & ASSISTANCE 268
      • 9.6.10 MEDICAL RESEARCH 269
      • 9.6.11 OTHER HEALTHCARE & LIFE SCIENCE APPLICATIONS 269
    • 9.7 TELECOM 269
      • 9.7.1 OPTIMIZED NETWORK PERFORMANCE AND PREVENTING NETWORK OUTAGES 269
      • 9.7.2 TELECOM: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 270
      • 9.7.3 NETWORK OPTIMIZATION 272
      • 9.7.4 NETWORK SECURITY 272
      • 9.7.5 CUSTOMER SERVICE & SUPPORT 272
      • 9.7.6 NETWORK ANALYTICS 272
      • 9.7.7 INTELLIGENT CALL ROUTING 273
      • 9.7.8 NETWORK FAULT PREDICTION 273
      • 9.7.9 VIRTUAL NETWORK ASSISTANT 273
      • 9.7.10 VOICE & SPEECH RECOGNITION 273
      • 9.7.11 OTHER TELECOM APPLICATIONS 274
    • 9.8 ENERGY & UTILITIES 274
      • 9.8.1 EFFICIENT ENERGY UTILIZATION AND COST SAVINGS 274
      • 9.8.2 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 275
      • 9.8.3 ENERGY DEMAND FORECASTING 276
      • 9.8.4 GRID OPTIMIZATION & MANAGEMENT 276
      • 9.8.5 ENERGY CONSUMPTION ANALYTICS 277
      • 9.8.6 SMART METERING & ENERGY DATA MANAGEMENT 277
      • 9.8.7 ENERGY STORAGE OPTIMIZATION 277
      • 9.8.8 REAL-TIME ENERGY MONITORING & CONTROL 277
      • 9.8.9 POWER QUALITY MONITORING & MANAGEMENT 278
      • 9.8.10 ENERGY TRADING & MARKETING FORECASTING 278
      • 9.8.11 INTELLIGENT ENERGY MANAGEMENT SYSTEMS 278
      • 9.8.12 OTHER ENERGY & UTILITY APPLICATIONS 278
    • 9.9 MANUFACTURING 279
      • 9.9.1 ADOPTION OF INTELLIGENT SYSTEMS TO AUTOMATE AND OPTIMIZE OPERATIONS 279
      • 9.9.2 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 280
      • 9.9.3 MATERIAL MOVEMENT MANAGEMENT 281
      • 9.9.4 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION 281
      • 9.9.5 PRODUCTION PLANNING 281
      • 9.9.6 QUALITY CONTROL 281
      • 9.9.7 PRODUCTION LINE OPTIMIZATION 282
      • 9.9.8 INTELLIGENT INVENTORY MANAGEMENT 282
      • 9.9.9 AUTONOMOUS ROBOTICS 282
      • 9.9.10 OTHERS MANUFACTURING APPLICATIONS 282
    • 9.10 AGRICULTURE 283
      • 9.10.1 INCREASE IN POTENTIAL TO MITIGATE ENVIRONMENTAL IMPACT 283
      • 9.10.2 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 284
      • 9.10.3 CROP MONITORING & YIELD PREDICTION 285
      • 9.10.4 PRECISION FARMING 286
      • 9.10.5 SOIL ANALYSIS & NUTRIENT MANAGEMENT 286
      • 9.10.6 PEST & DISEASE DETECTION 286
      • 9.10.7 IRRIGATION OPTIMIZATION & WATER MANAGEMENT 287
      • 9.10.8 AUTOMATED HARVESTING & SORTING 287
      • 9.10.9 WEED DETECTION & MANAGEMENT 287
      • 9.10.10 WEATHER & CLIMATE MONITORING 287
      • 9.10.11 LIVESTOCK MONITORING & HEALTH MANAGEMENT 288
      • 9.10.12 OTHER AGRICULTURAL APPLICATIONS 288
    • 9.11 IT/ITES 288
      • 9.11.1 RISE IN OPPORTUNITIES TO ENHANCE CUSTOMER EXPERIENCES AND DRIVE COMPETITIVE ADVANTAGE 288
      • 9.11.2 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 289
      • 9.11.3 AUTOMATED CODE GENERATION & OPTIMIZATION 291
      • 9.11.4 AUTOMATED IT ASSET MANAGEMENT 291
      • 9.11.5 IT TICKETING & SUPPORT AUTOMATION 291
      • 9.11.6 INTELLIGENT DATA BACKUP & RECOVERY 291
      • 9.11.7 IT SERVICE MANAGEMENT AUTOMATION 292
      • 9.11.8 AUTOMATED SOFTWARE TESTING & QUALITY ASSURANCE 292
      • 9.11.9 OTHER IT/ITES APPLICATIONS 292
    • 9.12 MEDIA & ENTERTAINMENT 293
      • 9.12.1 RISE IN NEED TO UNDERSTAND AND CATER TO INDIVIDUAL PREFERENCES AND BEHAVIORS 293
      • 9.12.2 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION 294
      • 9.12.3 CONTENT RECOMMENDATION SYSTEMS 295
      • 9.12.4 CONTENT CREATION & GENERATION 295
      • 9.12.5 CONTENT COPYRIGHT PROTECTION 296
      • 9.12.6 AUDIENCE ANALYTICS AND SEGMENTATION 296
      • 9.12.7 PERSONALIZED ADVERTISING 296
      • 9.12.8 OTHER MEDIA & ENTERTAINMENT APPLICATIONS 296
    • 9.13 OTHER VERTICALS 297

  • 10 ARTIFICIAL INTELLIGENCE MARKET, BY REGION 299

    • 10.1 INTRODUCTION 300
    • 10.2 NORTH AMERICA 302
      • 10.2.1 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 302
      • 10.2.2 NORTH AMERICA: RECESSION IMPACT 302
      • 10.2.3 US 323
        • 10.2.3.1 Growth initiatives by government and businesses 323
      • 10.2.4 CANADA 326
        • 10.2.4.1 Rise in adoption of technologies for research and innovation 326
    • 10.3 EUROPE 328
      • 10.3.1 EUROPE: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 329
      • 10.3.2 EUROPE: RECESSION IMPACT 329
      • 10.3.3 UK 349
        • 10.3.3.1 Continuous investments and initiatives by government 349
      • 10.3.4 GERMANY 353
        • 10.3.4.1 Increase in need to prioritize artificial intelligence governance aligning with regulatory frameworks 353
      • 10.3.5 FRANCE 355
        • 10.3.5.1 Demand for improved efficiency and decision-making 355
      • 10.3.6 ITALY 356
        • 10.3.6.1 Adoption of sophisticated technologies with thriving startup ecosystem 356
      • 10.3.7 SPAIN 358
        • 10.3.7.1 Initiatives by government to promote widespread adoption of artificial intelligence 358
      • 10.3.8 NORDIC 359
        • 10.3.8.1 Venture capital investments with growing interest in development of artificial intelligence 359
      • 10.3.9 BALKANS 360
        • 10.3.9.1 Collaboration among industry, academia, and government to adopt front-line technologies 360
      • 10.3.10 REST OF EUROPE 360
    • 10.4 ASIA PACIFIC 361
      • 10.4.1 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 361
      • 10.4.2 ASIA PACIFIC: IMPACT OF RECESSION 361
      • 10.4.3 CHINA 371
        • 10.4.3.1 Government initiatives and regulations in favor of AI development 371
      • 10.4.4 JAPAN 374
        • 10.4.4.1 Government initiatives and industry collaborations 374
      • 10.4.5 SOUTH KOREA 376
        • 10.4.5.1 Government investments in artificial intelligence infrastructure to enhance citizen services 376
      • 10.4.6 INDIA 377
        • 10.4.6.1 Exploring generative AI for innovation and industry transformation 377
      • 10.4.7 AUSTRALIA & NEW ZEALAND 379
        • 10.4.7.1 Business experiment with applications of generative AI 379
      • 10.4.8 ASEAN 380
        • 10.4.8.1 Progress in adopting artificial technology 380
      • 10.4.9 REST OF ASIA PACIFIC 382
    • 10.5 MIDDLE EAST & AFRICA 382
      • 10.5.1 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 382
      • 10.5.2 MIDDLE EAST & AFRICA: IMPACT OF RECESSION 382
      • 10.5.3 ISRAEL 391
        • 10.5.3.1 Growth in application of artificial intelligence across various industry verticals 391
      • 10.5.4 KINGDOM OF SAUDI ARABIA 394
        • 10.5.4.1 Greater emphasis on artificial intelligence development across key industry verticals 394
      • 10.5.5 UAE 396
        • 10.5.5.1 Implementation of proactive strategies and establishing regulatory frameworks 396
      • 10.5.6 EGYPT 397
        • 10.5.6.1 Initiatives by government by collaborating with academia 397
      • 10.5.7 TURKEY 399
        • 10.5.7.1 Government fostering innovation to drive economic growth 399
      • 10.5.8 SOUTH AFRICA 400
        • 10.5.8.1 Rapid adoption of advanced technologies by businesses country-wide 400
      • 10.5.9 REST OF THE MIDDLE EAST & AFRICA 402
    • 10.6 LATIN AMERICA 402
      • 10.6.1 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 402
      • 10.6.2 LATIN AMERICA: IMPACT OF RECESSION 403
      • 10.6.3 BRAZIL 412
        • 10.6.3.1 Rise in requirement to balance ethical use of technology 412
      • 10.6.4 MEXICO 415
        • 10.6.4.1 Endeavoring to become digitally advanced country 415
      • 10.6.5 ARGENTINA 416
        • 10.6.5.1 Adoption of artificial intelligence to enhance processes and improve decision-making 416
      • 10.6.6 CENTRAL AMERICA 418
        • 10.6.6.1 Rise in application of artificial intelligence to promote research and innovation 418
      • 10.6.7 REST OF LATIN AMERICA 419

  • 11 COMPETITIVE LANDSCAPE 420

    • 11.1 OVERVIEW 420
    • 11.2 KEY PLAYER STRATEGIES 420
    • 11.3 REVENUE ANALYSIS 422
      • 11.3.1 HISTORICAL REVENUE ANALYSIS 423
    • 11.4 MARKET SHARE ANALYSIS 423
    • 11.5 COMPANY EVALUATION QUADRANT 425
      • 11.5.1 STARS 425
      • 11.5.2 EMERGING LEADERS 425
      • 11.5.3 PERVASIVE PLAYERS 425
      • 11.5.4 PARTICIPANTS 425
      • 11.5.5 COMPETITIVE BENCHMARKING 427
    • 11.6 STARTUP/SME EVALUATION MATRIX 428
      • 11.6.1 PROGRESSIVE COMPANIES 428
      • 11.6.2 RESPONSIVE COMPANIES 428
      • 11.6.3 DYNAMIC COMPANIES 429
      • 11.6.4 STARTING BLOCKS 429
      • 11.6.5 STARTUPS/SMES COMPETITIVE BENCHMARKING 430
    • 11.7 ARTIFICIAL INTELLIGENCE PRODUCT LANDSCAPE 434
    • 11.8 COMPETITIVE SCENARIO AND TRENDS 435
      • 11.8.1 PRODUCT LAUNCHES 435
      • 11.8.2 DEALS 438
    • 11.9 VALUATION AND FINANCIAL METRICS OF KEY ARTIFICIAL INTELLIGENCE VENDORS 440
    • 11.10 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND STOCK BETA OF KEY ARTIFICIAL INTELLIGENCE VENDORS 440

  • 12 COMPANY PROFILES 441

    • 12.1 INTRODUCTION 441
    • 12.2 MAJOR PLAYERS 441
      • 12.2.1 GOOGLE 441
      • 12.2.2 MICROSOFT 451
      • 12.2.3 IBM 460
      • 12.2.4 ORACLE 468
      • 12.2.5 AWS 476
      • 12.2.6 INTEL 484
      • 12.2.7 SALESFORCE 490
      • 12.2.8 SAP 498
      • 12.2.9 CISCO 506
      • 12.2.10 META 511
      • 12.2.11 HPE 518
      • 12.2.12 SIEMENS 524
      • 12.2.13 NVIDIA 529
      • 12.2.14 BAIDU 535
      • 12.2.15 SAS INSTITUTE 540
      • 12.2.16 OPENAI 545
      • 12.2.17 H20.AI 547
      • 12.2.18 IFLYTEK 553
      • 12.2.19 HUAWEI 556
      • 12.2.20 ALIBABA CLOUD 559
    • 12.3 OTHER KEY PLAYERS 563
      • 12.3.1 GENERAL VISION 563
      • 12.3.2 DARKTRACE 564
      • 12.3.3 BLACKBERRY LIMITED 565
      • 12.3.4 DIDI GLOBAL 566
      • 12.3.5 FACE++ 566
      • 12.3.6 INBENTA 567
      • 12.3.7 ANJU SOFTWARE 568
      • 12.3.8 BUTTERFLY NETWORK 569
      • 12.3.9 ATOMWISE 570
      • 12.3.10 AIBRAIN 571
      • 12.3.11 SK HYNIX 572
      • 12.3.12 PROGRESS 573
      • 12.3.13 PRECISIONHAWK 574
      • 12.3.14 AGEAGLE AERIAL SYSTEM 575
      • 12.3.15 NEURALA 576
      • 12.3.16 TWITTER 577
      • 12.3.17 AUREA SOFTWARE 578
      • 12.3.18 PERSADO 579
      • 12.3.19 8X8 580
      • 12.3.20 APPIER 581
      • 12.3.21 GUMGUM 582
      • 12.3.22 IPRO 583
      • 12.3.23 GRAPHCORE 584
      • 12.3.24 PREFERRED NETWORKS 585
      • 12.3.25 APPLIED BRAIN RESEARCH 586
      • 12.3.26 PILOT AI 586
      • 12.3.27 IRIS AUTOMATION 587
      • 12.3.28 GAMAYA 588
      • 12.3.29 EC2CE 589
      • 12.3.30 DESCARTES LABS 590
      • 12.3.31 MYTHIC 591
      • 12.3.32 ADA 592
      • 12.3.33 MOSTLY AI 592
      • 12.3.34 SENTIENT.IO 593
      • 12.3.35 LUMEN5 594
      • 12.3.36 AERA TECHNOLOGY 594
    • 12.4 STARTUPS 595
      • 12.4.1 AI SUPERIOR 595
      • 12.4.2 FOSFOR 596
      • 12.4.3 INTRINSIC 596
      • 12.4.4 JASPER 597
      • 12.4.5 SOUNDFUL 597
      • 12.4.6 WRITESONIC 598
      • 12.4.7 ONE AI 599

  • 13 ADJACENT AND RELATED MARKETS 600

    • 13.1 ADJACENT AND RELATED MARKETS 600
      • 13.1.1 INTRODUCTION 600
      • 13.1.2 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2028 600
        • 13.1.2.1 Market definition 600
        • 13.1.2.2 Market overview 600
          • 13.1.2.2.1 Generative AI market, by offering 601
          • 13.1.2.2.2 Generative AI market, by application 602
          • 13.1.2.2.3 Generative AI market, by vertical 605
          • 13.1.2.2.4 Generative AI market, by region 606
      • 13.1.3 CONVERSATIONAL AI MARKET - GLOBAL FORECAST TO 2028 607
        • 13.1.3.1 Market definition 607
        • 13.1.3.2 Market overview 607
          • 13.1.3.2.1 Conversational AI market, by offerings 608
          • 13.1.3.2.2 Conversational AI market, by business function 608
          • 13.1.3.2.3 Conversational AI market, By channel 609
          • 13.1.3.2.4 Conversational AI market, by conversational interface 610
          • 13.1.3.2.5 Conversational AI market, by technology 611
          • 13.1.3.2.6 Conversational AI market, by vertical 611
          • 13.1.3.2.7 Conversational AI market, by region 612

  • 14 APPENDIX 614

    • 14.1 DISCUSSION GUIDE 614
    • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 621
    • 14.3 CUSTOMIZATION OPTIONS 623
    • 14.4 RELATED REPORTS 623
    • 14.5 AUTHOR DETAILS 624

TABLE 1 USD EXCHANGE RATES, 2020-2022 TABLE 2 PRIMARY INTERVIEWS TABLE 3 FACTOR ANALYSIS TABLE 4 ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2017-2022 (USD MILLION, Y-O-Y GROWTH) TABLE 5 ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2023-2030 (USD MILLION, Y-O-Y GROWTH) TABLE 6 MAJOR INVESTMENTS IN ARTIFICIAL INTELLIGENCE, 2019-2023 TABLE 7 MAJOR ACQUISITIONS IN ARTIFICIAL INTELLIGENCE MARKET BETWEEN 2019 AND 2023 TABLE 8 ARTIFICIAL INTELLIGENCE MARKET: HARDWARE PROVIDERS TABLE 9 ARTIFICIAL INTELLIGENCE MARKET: SOFTWARE PROVIDERS TABLE 10 ARTIFICIAL INTELLIGENCE MARKET: PLATFORM PROVIDERS TABLE 11 ARTIFICIAL INTELLIGENCE MARKET: NETWORK PROVIDERS TABLE 12 ARTIFICIAL INTELLIGENCE MARKET: SECURITY PROVIDERS TABLE 13 ARTIFICIAL INTELLIGENCE MARKET: SERVICE PROVIDERS TABLE 14 ARTIFICIAL INTELLIGENCE MARKET: CLOUD PROVIDERS TABLE 15 ARTIFICIAL INTELLIGENCE MARKET: PORTER’S FIVE FORCES ANALYSIS TABLE 16 PRICING ANALYSIS TABLE 17 PATENTS FILED, 2013-2023 TABLE 18 TOP 20 PATENT OWNERS IN MARKET, 2013-2023 TABLE 19 LIST OF MAJOR PATENTS IN ARTIFICIAL INTELLIGENCE MARKET, 2021-2023 TABLE 20 MOIT- REGIONAL ANALYSIS OF PATENTS GRANTED, 2013-2023 TABLE 21 DETAILED LIST OF CONFERENCES AND EVENTS, 2023-2024 TABLE 22 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 23 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 24 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 25 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 26 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE VERTICALS TABLE 27 KEY BUYING CRITERIA FOR TOP THREE VERTICALS TABLE 28 TECHNOLOGY ROADMAP OF ARTIFICIAL INTELLIGENCE MARKET TABLE 29 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 30 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023-2030 (USD MILLION) TABLE 31 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2017-2022 (USD MILLION) TABLE 32 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2023-2030 (USD MILLION) TABLE 33 HARDWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 34 HARDWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 35 ACCELERATORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 36 ACCELERATORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 37 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2017-2022 (USD MILLION) TABLE 38 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2023-2030 (USD MILLION) TABLE 39 PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 40 PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 41 MICROPROCESSING UNITS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 42 MICROPROCESSING UNITS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 43 GRAPHICS PROCESSING UNITS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 44 GRAPHICS PROCESSING UNITS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 45 FIELD PROGRAMMABLE GATE ARRAYS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 46 FIELD PROGRAMMABLE GATE ARRAYS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 47 OTHER PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 48 OTHER PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030(USD MILLION) TABLE 49 MEMORY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 50 MEMORY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 51 NETWORK: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 52 NETWORK: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 53 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2017-2022 (USD MILLION) TABLE 54 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2023-2030 (USD MILLION) TABLE 55 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 56 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 57 PRE-TRAINED MODELS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 58 PRE-TRAINED MODELS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 59 CUSTOMIZABLE AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 60 CUSTOMIZABLE AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 61 EDGE AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 62 EDGE AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 63 AI MARKETPLACES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 64 AI MARKETPLACES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 65 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT, 2017-2022 (USD MILLION) TABLE 66 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT, 2023-2030 (USD MILLION) TABLE 67 ON-PREMISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 68 ON-PREMISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 69 CLOUD: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 70 CLOUD: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 71 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 72 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2023-2030 (USD MILLION) TABLE 73 SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 74 SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 75 ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION) TABLE 76 ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2023-2030 (USD MILLION) TABLE 77 PROFESSIONAL SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 78 PROFESSIONAL SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 79 CONSULTING SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 80 CONSULTING SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 81 DEPLOYMENT & INTEGRATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 82 DEPLOYMENT & INTEGRATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 83 SUPPORT & MAINTENANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 84 SUPPORT & MAINTENANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 85 MANAGED SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 86 MANAGED SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 87 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 88 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 89 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 90 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 91 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 92 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 93 DEEP LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 94 DEEP LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 95 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 96 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 97 UNSUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 98 UNSUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 99 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 100 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 101 ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2017-2022 (USD MILLION) TABLE 102 ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2023-2030 (USD MILLION) TABLE 103 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 104 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 105 CONTEXT AWARENESS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 106 CONTEXT AWARENESS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 107 COMPUTER VISION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 108 COMPUTER VISION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 109 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017-2022 (USD MILLION) TABLE 110 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023-2030 (USD MILLION) TABLE 111 FINANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 112 FINANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 113 SECURITY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 114 SECURITY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 115 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 116 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 117 LAW: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 118 LAW: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 119 MARKETING & SALES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 120 MARKETING & SALES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 121 OPERATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 122 OPERATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 123 SUPPLY CHAIN MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 124 SUPPLY CHAIN MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 125 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 126 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 127 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 128 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 129 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 130 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 131 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 132 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 133 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 134 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 135 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 136 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 137 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 138 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 139 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 140 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 141 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 142 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 143 HEALTHCARE & LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 144 HEALTHCARE & LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 145 HEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 146 HEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 147 TELECOM: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 148 TELECOM: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 149 TELECOM: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 150 TELECOM: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 151 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 152 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 153 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 154 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 155 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 156 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 157 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 158 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 159 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 160 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 161 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 162 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 163 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 164 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 165 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 166 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 167 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 168 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 169 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 170 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 171 OTHER VERTICALS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 172 OTHER VERTICALS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 173 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 174 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 175 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 176 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023-2030 (USD MILLION) TABLE 177 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2017-2022 (USD MILLION) TABLE 178 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2023-2030 (USD MILLION) TABLE 179 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2017-2022 (USD MILLION) TABLE 180 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2023-2030 (USD MILLION) TABLE 181 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2017-2022 (USD MILLION) TABLE 182 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2023-2030 (USD MILLION) TABLE 183 NORTH AMERICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2017-2022 (USD MILLION) TABLE 184 NORTH AMERICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2023-2030 (USD MILLION) TABLE 185 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 186 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2023-2030 (USD MILLION) TABLE 187 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION) TABLE 188 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2023-2030 (USD MILLION) TABLE 189 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 190 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 191 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 192 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 193 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2017-2022 (USD MILLION) TABLE 194 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2023-2030 (USD MILLION) TABLE 195 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017-2022 (USD MILLION) TABLE 196 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023-2030 (USD MILLION) TABLE 197 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 198 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 199 NORTH AMERICA: BFSI VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 200 NORTH AMERICA: BFSI VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 201 NORTH AMERICA: RETAIL & ECOMMERCE VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 202 NORTH AMERICA: RETAIL & ECOMMERCE VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 203 NORTH AMERICA: AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 204 NORTH AMERICA: AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 205 NORTH AMERICA: GOVERNMENT & DEFENSE VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 206 NORTH AMERICA: GOVERNMENT & DEFENSE VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 207 NORTH AMERICA: HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 208 NORTH AMERICA: HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 209 NORTH AMERICA: TELECOM VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 210 NORTH AMERICA: TELECOM VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 211 NORTH AMERICA: ENERGY & UTILITIES VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 212 NORTH AMERICA: ENERGY & UTILITIES VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 213 NORTH AMERICA: MANUFACTURING VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 214 NORTH AMERICA: MANUFACTURING VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 215 NORTH AMERICA: AGRICULTURE VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 216 NORTH AMERICA: AGRICULTURE VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 217 NORTH AMERICA: IT/ITES VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 218 NORTH AMERICA: IT/ITES VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 219 NORTH AMERICA: MEDIA & ENTERTAINMENT VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 220 NORTH AMERICA: MEDIA & ENTERTAINMENT VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 221 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2017-2022 (USD MILLION) TABLE 222 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2023-2030 (USD MILLION) TABLE 223 US: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 224 US: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 225 US: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 226 US: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 227 US: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 228 US: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 229 CANADA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 230 CANADA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 231 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 232 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023-2030 (USD MILLION) TABLE 233 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2017-2022 (USD MILLION) TABLE 234 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2023-2030 (USD MILLION) TABLE 235 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2017-2022 (USD MILLION) TABLE 236 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2023-2030 (USD MILLION) TABLE 237 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2017-2022 (USD MILLION) TABLE 238 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2023-2030 (USD MILLION) TABLE 239 EUROPE: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2017-2022 (USD MILLION) TABLE 240 EUROPE: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2023-2030 (USD MILLION) TABLE 241 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 242 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2023-2030 (USD MILLION) TABLE 243 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION) TABLE 244 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2023-2030 (USD MILLION) TABLE 245 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 246 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 247 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 248 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 249 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2017-2022 (USD MILLION) TABLE 250 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2023-2030 (USD MILLION) TABLE 251 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017-2022 (USD MILLION) TABLE 252 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023-2030 (USD MILLION) TABLE 253 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 254 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 255 EUROPE: BFSI VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 256 EUROPE: BFSI VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 257 EUROPE: RETAIL & ECOMMERCE VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 258 EUROPE: RETAIL & ECOMMERCE VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 259 EUROPE: AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 260 EUROPE: AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 261 EUROPE: GOVERNMENT & DEFENSE VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 262 EUROPE: GOVERNMENT & DEFENSE VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 263 EUROPE: HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 264 EUROPE: HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 265 EUROPE: TELECOM VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 266 EUROPE: TELECOM VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 267 EUROPE: ENERGY & UTILITIES VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 268 EUROPE: ENERGY & UTILITIES VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 269 EUROPE: MANUFACTURING VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 270 EUROPE: MANUFACTURING VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 271 EUROPE: AGRICULTURE VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 272 EUROPE: AGRICULTURE VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 273 EUROPE: IT/ITES VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 274 EUROPE: IT/ITES VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 275 EUROPE: MEDIA & ENTERTAINMENT VERTICAL MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 276 EUROPE: MEDIA & ENTERTAINMENT VERTICAL MARKET, BY APPLICATION, 2023-2030 (USD MILLION) TABLE 277 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY/REGION, 2017-2022 (USD MILLION) TABLE 278 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY/REGION, 2023-2030 (USD MILLION) TABLE 279 UK: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 280 UK: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 281 UK: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 282 UK: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 283 UK: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 284 UK: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 285 GERMANY: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 286 GERMANY: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 287 FRANCE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 288 FRANCE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 289 ITALY: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 290 ITALY: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 291 SPAIN: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 292 SPAIN: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 293 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 294 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023-2030 (USD MILLION) TABLE 295 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2017-2022 (USD MILLION) TABLE 296 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2023-2030 (USD MILLION) TABLE 297 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2017-2022 (USD MILLION) TABLE 298 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2023-2030 (USD MILLION) TABLE 299 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2017-2022 (USD MILLION) TABLE 300 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2023-2030 (USD MILLION) TABLE 301 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2017-2022 (USD MILLION) TABLE 302 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2023-2030 (USD MILLION) TABLE 303 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 304 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2023-2030 (USD MILLION) TABLE 305 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION) TABLE 306 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2023-2030 (USD MILLION) TABLE 307 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 308 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 309 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 310 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 311 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2017-2022 (USD MILLION) TABLE 312 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2023-2030 (USD MILLION) TABLE 313 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017-2022 (USD MILLION) TABLE 314 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023-2030 (USD MILLION) TABLE 315 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 316 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 317 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY/REGION, 2017-2022 (USD MILLION) TABLE 318 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY/REGION, 2023-2030 (USD MILLION) TABLE 319 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 320 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 321 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 322 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 323 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 324 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 325 JAPAN: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 326 JAPAN: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 327 SOUTH KOREA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 328 SOUTH KOREA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 329 INDIA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 330 INDIA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 331 AUSTRALIA & NEW ZEALAND: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 332 AUSTRALIA & NEW ZEALAND: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 333 ASEAN: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 334 ASEAN: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 335 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 336 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023-2030 (USD MILLION) TABLE 337 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2017-2022 (USD MILLION) TABLE 338 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2023-2030 (USD MILLION) TABLE 339 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2017-2022 (USD MILLION) TABLE 340 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2023-2030 (USD MILLION) TABLE 341 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2017-2022 (USD MILLION) TABLE 342 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2023-2030 (USD MILLION) TABLE 343 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2017-2022 (USD MILLION) TABLE 344 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2023-2030 (USD MILLION) TABLE 345 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 346 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2023-2030 (USD MILLION) TABLE 347 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION) TABLE 348 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2023-2030 (USD MILLION) TABLE 349 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 350 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 351 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 352 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 353 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2017-2022 (USD MILLION) TABLE 354 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2023-2030 (USD MILLION) TABLE 355 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017-2022 (USD MILLION) TABLE 356 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023-2030 (USD MILLION) TABLE 357 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 358 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 359 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2017-2022 (USD MILLION) TABLE 360 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2023-2030 (USD MILLION) TABLE 361 ISRAEL: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 362 ISRAEL: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 363 ISRAEL: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 364 ISRAEL: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 365 ISRAEL: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 366 ISRAEL: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 367 KINGDOM OF SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 368 KINGDOM OF SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 369 UAE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 370 UAE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 371 EGYPT: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 372 EGYPT: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 373 TURKEY: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 374 TURKEY: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 375 SOUTH AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 376 SOUTH AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 377 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 378 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023-2030 (USD MILLION) TABLE 379 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2017-2022 (USD MILLION) TABLE 380 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2023-2030 (USD MILLION) TABLE 381 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2017-2022 (USD MILLION) TABLE 382 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2023-2030 (USD MILLION) TABLE 383 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2017-2022 (USD MILLION) TABLE 384 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2023-2030 (USD MILLION) TABLE 385 LATIN AMERICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2017-2022 (USD MILLION) TABLE 386 LATIN AMERICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2023-2030 (USD MILLION) TABLE 387 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 388 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2023-2030 (USD MILLION) TABLE 389 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION) TABLE 390 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2023-2030 (USD MILLION) TABLE 391 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 392 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 393 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 394 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 395 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2017-2022 (USD MILLION) TABLE 396 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2023-2030 (USD MILLION) TABLE 397 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017-2022 (USD MILLION) TABLE 398 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023-2030 (USD MILLION) TABLE 399 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 400 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 401 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY/REGION, 2017-2022 (USD MILLION) TABLE 402 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY/REGION, 2023-2030 (USD MILLION) TABLE 403 BRAZIL: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 404 BRAZIL: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 405 BRAZIL: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION) TABLE 406 BRAZIL: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023-2030 (USD MILLION) TABLE 407 BRAZIL: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 408 BRAZIL: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 409 MEXICO: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 410 MEXICO: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 411 ARGENTINA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 412 ARGENTINA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 413 CENTRAL AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 414 CENTRAL AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 415 OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS TABLE 416 ARTIFICIAL INTELLIGENCE MARKET: DEGREE OF COMPETITION TABLE 417 ARTIFICIAL INTELLIGENCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022 TABLE 418 ARTIFICIAL INTELLIGENCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES TABLE 419 ARTIFICIAL INTELLIGENCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SME PLAYERS, 2023 TABLE 420 COMPARATIVE ANALYSIS OF HARDWARE PRODUCTS TABLE 421 COMPARATIVE ANALYSIS OF SOFTWARE PRODUCTS TABLE 422 PRODUCT LAUNCHES AND ENHANCEMENTS, 2019-2023 TABLE 423 DEALS, 2019-2023 TABLE 424 GOOGLE: BUSINESS OVERVIEW TABLE 425 GOOGLE: PRODUCTS OFFERED TABLE 426 GOOGLE: SERVICES OFFERED TABLE 427 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 428 GOOGLE: DEALS TABLE 429 GOOGLE: OTHERS TABLE 430 MICROSOFT: BUSINESS OVERVIEW TABLE 431 MICROSOFT: PRODUCTS OFFERED TABLE 432 MICROSOFT: SERVICES OFFERED TABLE 433 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 434 MICROSOFT: DEALS TABLE 435 IBM: BUSINESS OVERVIEW TABLE 436 IBM: PRODUCTS OFFERED TABLE 437 IBM: SERVICES OFFERED TABLE 438 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 439 IBM: DEALS TABLE 440 ORACLE: BUSINESS OVERVIEW TABLE 441 ORACLE: PRODUCTS OFFERED TABLE 442 ORACLE: SERVICES OFFERED TABLE 443 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 444 ORACLE: DEALS TABLE 445 AWS: BUSINESS OVERVIEW TABLE 446 AWS: PRODUCTS OFFERED TABLE 447 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 448 AWS: DEALS TABLE 449 AWS: OTHERS TABLE 450 INTEL: BUSINESS OVERVIEW TABLE 451 INTEL: PRODUCTS OFFERED TABLE 452 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 453 INTEL: DEALS TABLE 454 SALESFORCE: BUSINESS OVERVIEW TABLE 455 SALESFORCE: PRODUCTS OFFERED TABLE 456 SALESFORCE: SERVICES OFFERED TABLE 457 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 458 SALESFORCE: DEALS TABLE 459 SAP: BUSINESS OVERVIEW TABLE 460 SAP: PRODUCTS OFFERED TABLE 461 SAP: SERVICES OFFERED TABLE 462 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 463 SAP: DEALS TABLE 464 CISCO: BUSINESS OVERVIEW TABLE 465 CISCO: PRODUCTS OFFERED TABLE 466 CISCO: SERVICES OFFERED TABLE 467 CISCO: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 468 CISCO: DEALS TABLE 469 META: BUSINESS OVERVIEW TABLE 470 META: PRODUCTS OFFERED TABLE 471 META: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 472 META: DEALS TABLE 473 HPE: BUSINESS OVERVIEW TABLE 474 HPE: PRODUCTS OFFERED TABLE 475 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 476 HPE: DEALS TABLE 477 SIEMENS: BUSINESS OVERVIEW TABLE 478 SIEMENS: PRODUCTS OFFERED TABLE 479 SIEMENS: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 480 SIEMENS: DEALS TABLE 481 NVIDIA: BUSINESS OVERVIEW TABLE 482 NVIDIA: PRODUCTS OFFERED TABLE 483 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 484 NVIDIA: DEALS TABLE 485 BAIDU: BUSINESS OVERVIEW TABLE 486 BAIDU: PRODUCTS OFFERED TABLE 487 BAIDU: SERVICES OFFERED TABLE 488 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 489 BAIDU: DEALS TABLE 490 SAS INSTITUTE: BUSINESS OVERVIEW TABLE 491 SAS INSTITUTE: PRODUCTS OFFERED TABLE 492 SAS INSTITUTE: SERVICES OFFERED TABLE 493 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 494 SAS INSTITUTE: DEALS TABLE 495 OPENAI: BUSINESS OVERVIEW TABLE 496 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 497 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 498 OPENAI: DEALS TABLE 499 H2O.AI: BUSINESS OVERVIEW TABLE 500 H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 501 PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 502 H2O.AI: DEALS TABLE 503 IFLYTEK: BUSINESS OVERVIEW TABLE 504 IFLYTEK: PRODUCTS OFFERED TABLE 505 IFLYTEK: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 506 IFLYTEK: DEALS TABLE 507 HUAWEI: BUSINESS OVERVIEW TABLE 508 HUAWEI: PRODUCTS OFFERED TABLE 509 HUAWEI: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 510 HUAWEI: DEALS TABLE 511 ALIBABA CLOUD: BUSINESS OVERVIEW TABLE 512 ALIBABA CLOUD: PRODUCTS OFFERED TABLE 513 ALIBABA CLOUD: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 514 ALIBABA CLOUD: DEALS TABLE 515 GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2019-2022 (USD MILLION, Y-O-Y) TABLE 516 GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2023-2028 (USD MILLION, Y-O-Y) TABLE 517 GENERATIVE AI MARKET, BY OFFERING, 2019-2022 (USD MILLION) TABLE 518 GENERATIVE AI MARKET, BY OFFERING, 2023-2028 (USD MILLION) TABLE 519 GENERATIVE AI MARKET, BY APPLICATION, 2019-2022 (USD MILLION) TABLE 520 GENERATIVE AI MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 521 GENERATIVE AI MARKET, BY VERTICAL, 2019-2022 (USD MILLION) TABLE 522 GENERATIVE AI MARKET, BY VERTICAL, 2023-2028 (USD MILLION) TABLE 523 GENERATIVE AI MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 524 GENERATIVE AI MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 525 CONVERSATIONAL AI MARKET, BY OFFERING, 2018-2022 (USD MILLION) TABLE 526 CONVERSATIONAL AI MARKET BY OFFERING, 2023-2028 (USD MILLION) TABLE 527 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2018-2022 (USD MILLION) TABLE 528 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2023-2028 (USD MILLION) TABLE 529 CONVERSATIONAL AI MARKET, BY CHANNEL, 2018-2022 (USD MILLION) TABLE 530 CONVERSATIONAL AI MARKET, BY CHANNEL, 2023-2028 (USD MILLION) TABLE 531 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE, 2018-2022 (USD MILLION) TABLE 532 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE, 2023-2028 (USD MILLION) TABLE 533 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2018-2022 (USD MILLION) TABLE 534 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 535 CONVERSATIONAL AI MARKET, BY VERTICAL, 2018-2022 (USD MILLION) TABLE 536 CONVERSATIONAL AI MARKET BY VERTICAL, 2023-2028 (USD MILLION) TABLE 537 CONVERSATIONAL AI MARKET, BY REGION, 2018-2022 (USD MILLION) TABLE 538 CONVERSATIONAL AI MARKET, BY REGION, 2023-2028 (USD MILLION)

FIGURE 1 RESEARCH DESIGN FIGURE 2 DATA TRIANGULATION FIGURE 3 TOP-DOWN AND BOTTOM-UP APPROACHES FIGURE 4 APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE FIGURE 5 APPROACH 2 (BOTTOM-UP, SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE FIGURE 6 APPROACH 3 (BOTTOM-UP, SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE FIGURE 7 APPROACH 4 (BOTTOM-UP, DEMAND-SIDE): SHARE OF ARTIFICIAL INTELLIGENCE THROUGH OVERALL SPENDING FIGURE 8 SOFTWARE TO BE DOMINANT ARTIFICIAL INTELLIGENCE MARKET IN 2023 FIGURE 9 ACCELERATORS TO DOMINATE ARTIFICIAL INTELLIGENCE HARDWARE MARKET IN 2023 FIGURE 10 GRAPHICS PROCESSING UNITS TO DOMINATE OVER OTHER PROCESSORS IN ARTIFICIAL INTELLIGENCE PROCESSORS IN 2023 FIGURE 11 PRE-TRAINED MODELS TO LEAD MARKET AMONG ARTIFICIAL INTELLIGENCE SOFTWARE TYPES IN 2023 FIGURE 12 CLOUD DEPLOYMENT TO ACCOUNT FOR LARGEST MARKET SIZE IN ARTIFICIAL INTELLIGENCE SOFTWARE DEPLOYMENT MARKET IN 2023 FIGURE 13 PROFESSIONAL SERVICES TO LEAD MARKET FOR ARTIFICIAL INTELLIGENCE SERVICES IN 2023 FIGURE 14 CONSULTING SERVICES TO BE LEADING PROFESSIONAL SERVICES MARKET FOR ARTIFICIAL INTELLIGENCE IN 2023 FIGURE 15 MACHINE LEARNING TO BE MOST PREFERRED TECHNOLOGY IN ARTIFICIAL INTELLIGENCE MARKET IN 2023 FIGURE 16 DEEP LEARNING TO DOMINATE AMONG MACHINE LEARNING TECHNOLOGIES IN ARTIFICIAL INTELLIGENCE MARKET IN 2023 FIGURE 17 NATURAL LANGUAGE UNDERSTANDING TO BE PREFERRED OVER GENERATION IN ARTIFICIAL INTELLIGENCE MARKET IN 2023 FIGURE 18 MARKETING & SALES TO BE LEADING BUSINESS FUNCTION IN ARTIFICIAL INTELLIGENCE MARKET IN 2023 FIGURE 19 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET IN 2023 FIGURE 20 NORTH AMERICA MARKET TO ACCOUNT FOR LARGEST SHARE IN 2023 FIGURE 21 RISING INVESTMENTS IN ARTIFICIAL INTELLIGENCE RESEARCH & DEVELOPMENT TO DRIVE MARKET GROWTH FIGURE 22 ARTIFICIAL INTELLIGENCE MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023 FIGURE 23 MARKETING & SALES BUSINESS FUNCTION TO ACCOUNT FOR LARGEST ARTIFICIAL INTELLIGENCE MARKET DURING FORECAST PERIOD FIGURE 24 SOFTWARE AND BFSI TO LEAD RESPECTIVE SEGMENTS IN ARTIFICIAL INTELLIGENCE MARKET IN 2023 FIGURE 25 NORTH AMERICA TO DOMINATE ARTIFICIAL INTELLIGENCE MARKET IN 2023 FIGURE 26 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: ARTIFICIAL INTELLIGENCE MARKET FIGURE 27 MILESTONES OF ARTIFICIAL INTELLIGENCE FIGURE 28 ARTIFICIAL INTELLIGENCE ECOSYSTEM (PART 1/2) FIGURE 29 ARTIFICIAL INTELLIGENCE ECOSYSTEM (PART 2/2) FIGURE 30 ARTIFICIAL INTELLIGENCE: VALUE CHAIN ANALYSIS FIGURE 31 ARTIFICIAL INTELLIGENCE MARKET: PORTER’S FIVE FORCES ANALYSIS FIGURE 32 AVERAGE SELLING PRICES OF KEY COMPANIES (USD) FIGURE 33 ANNUAL NUMBER OF PATENTS GRANTED, 2013-2023 FIGURE 34 TOP TEN PATENT APPLICANT COMPANIES, 2013-2023 FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE VERTICALS FIGURE 37 ARTIFICIAL INTELLIGENCE MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS FIGURE 38 BUSINESS MODELS OF ARTIFICIAL INTELLIGENCE MARKET FIGURE 39 ARTIFICIAL INTELLIGENCE SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 40 ACCELERATORS TO WITNESS HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE HARDWARE MARKET FIGURE 41 FIELD PROGRAMMABLE GATE ARRAYS TO BE FASTEST-GROWING ARTIFICIAL INTELLIGENCE PROCESSORS MARKET FIGURE 42 PRE-TRAINED MODELS SEGMENT TO BE LARGEST MARKET DURING FORECAST PERIOD FIGURE 43 CLOUD DEPLOYMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD FIGURE 44 MANAGED SERVICES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD FIGURE 45 SUPPORT & MAINTENANCE SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD FIGURE 46 COMPUTER VISION TECHNOLOGY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 47 REINFORCEMENT LEARNING TO BE FASTEST-GROWING MACHINE LEARNING TECHNOLOGY DURING FORECAST PERIOD FIGURE 48 NATURAL LANGUAGE GENERATION TO GROW AT HIGHER CAGR DURING FORECAST PERIOD FIGURE 49 SUPPLY CHAIN MANAGEMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 50 HEALTHCARE & LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 51 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD FIGURE 52 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD FIGURE 53 NORTH AMERICA: MARKET SNAPSHOT FIGURE 54 ASIA PACIFIC: MARKET SNAPSHOT FIGURE 55 HISTORICAL REVENUE ANALYSIS OF TOP PLAYERS, 2020-2022 (USD MILLION) FIGURE 56 MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2022 FIGURE 57 KEY ARTIFICIAL INTELLIGENCE MARKET PLAYERS, COMPANY EVALUATION QUADRANT, 2022 FIGURE 58 STARTUPS/SMES ARTIFICIAL INTELLIGENCE PLAYERS, COMPANY EVALUATION QUADRANT, 2022 FIGURE 59 VALUATION AND FINANCIAL METRICS OF KEY VENDORS, 2023 FIGURE 60 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND STOCK BETA OF KEY VENDORS FIGURE 61 GOOGLE: COMPANY SNAPSHOT FIGURE 62 MICROSOFT: COMPANY SNAPSHOT FIGURE 63 IBM: COMPANY SNAPSHOT FIGURE 64 ORACLE: COMPANY SNAPSHOT FIGURE 65 AWS: COMPANY SNAPSHOT FIGURE 66 INTEL: COMPANY SNAPSHOT FIGURE 67 SALESFORCE: COMPANY SNAPSHOT FIGURE 68 SAP: COMPANY SNAPSHOT FIGURE 69 CISCO: COMPANY SNAPSHOT FIGURE 70 META: COMPANY SNAPSHOT FIGURE 71 HPE: COMPANY SNAPSHOT FIGURE 72 SIEMENS: COMPANY SNAPSHOT FIGURE 73 NVIDIA: COMPANY SNAPSHOT FIGURE 74 BAIDU: COMPANY SNAPSHOT

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