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商品コード MM0912603487QT
出版日 2024/1/17
MarketsandMarkets
英文424 ページグローバル

AIデータマネジメント市場 - オファリング別、データタイプ別、技術別、用途別、バーティカル別、地域別:グローバル市場予測(〜2028年)

AI Data Management Market by Offering (Platform, Software tools, and Services), Data Type, Technology (ML, NLP, Computer Vision, Context Awareness), Application (Process Automation, Data Augmentation), Vertical and Region - Global Forecast to 2028


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商品コード MM0912603487QT◆2025年1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 2024/1/17
MarketsandMarkets
英文 424 ページグローバル

AIデータマネジメント市場 - オファリング別、データタイプ別、技術別、用途別、バーティカル別、地域別:グローバル市場予測(〜2028年)

AI Data Management Market by Offering (Platform, Software tools, and Services), Data Type, Technology (ML, NLP, Computer Vision, Context Awareness), Application (Process Automation, Data Augmentation), Vertical and Region - Global Forecast to 2028



全体要約

2023年のグローバルAIデータマネジメント市場は251億ドルで、2028年までに702億ドルに達すると予測され、年平均成長率(CAGR)は22.8%とされています。クラウドコンピューティングの普及により、データの保存、処理、アクセス方法が大きく変化しました。クラウド技術により、企業は従来のオンプレミスインフラに束縛されることなく、データ管理能力を柔軟に拡張できます。プラットフォームセグメントは、AIデータマネジメント市場で最大の市場シェアを保持する見込みです。

データタイプ別では、テキストデータセグメントが最も高いCAGRで成長するとされています。AIを活用したテキストデータ管理は、自然言語処理やテキスト分析を用いて、非構造化情報を整理し、分析に活用します。アジア太平洋地域は、技術の進展とデジタル化の進行により、AIデータマネジメントの成長が顕著です。中国、インド、日本、韓国、シンガポールなどが主要なプレーヤーとなり、技術に対する投資を活発化させています。

関連する質問

25.1億ドル(2023年)

22.8%(2023年~2028年)

Microsoft, AWS, IBM, Google, Oracle, Salesforce, SAP, SAS Institute, HPE, Snowflake, Teradata, Informatica, Databricks, TIBCO Software, Qlik, Collibra, Dataiku, Alteryx, Datamatics Business Solutions, Accenture, Ataccama, Reltio, Tamr, ThoughtSpot, AtScale, Alation, Clarifai, DDN Storage, Dataloop AI, Astera Software

AI駆動のデータファブリックソリューションと自動統合による市場拡大、クラウド技術の進化がAIデータマネジメント市場の成長を促進、AIおよび機械学習の急速な進展が変革的データ管理ソリューションの採用を後押し


概要

2023年のグローバルAIデータ管理市場は251億米ドルと評価され、2028年までに702億米ドルに達すると推定されており、予測期間中の年平均成長率(CAGR)は22.8%です。クラウドコンピューティングの出現と広範な採用により、組織がデータを保存、処理、アクセスする方法が再定義されました。クラウド技術はスケーラブルで柔軟な基盤を提供し、企業が従来のオンプレミスのインフラストラクチャの制約なしに、増え続けるデータボリュームを効率的に管理できるようにします。クラウドベースのプラットフォームへの移行は、AIデータ管理ソリューションの需要を促進する上で重要です。クラウド環境は、ダイナミックなビジネスニーズに適応するために必要な機敏性を提供し、組織がデータ管理能力をシームレスに拡張できるようにします。クラウド向けに設計されたAI駆動のデータ管理ツールは、本質的によりスケーラブルであり、企業が多様なデータセットや増加する作業負荷を効果的に処理できるようにします。このスケーラビリティは、データの量と多様性が指数関数的に拡大し続ける中で、特に重要です。
「提供別では、プラットフォームセグメントが予測期間中に最大の市場規模を占めると予測されています。」
AIデータ管理のプラットフォームは、データの収集、保存、処理、分析、利用を人工知能技術を用いて円滑に行う包括的なエコシステムとして機能します。これらのプラットフォームは、組織がデータを効率的に管理し、有用な洞察を得るために必要な様々なツール、アルゴリズム、機能を統合しています。データの取り込み、クレンジング、変換のためのコンポーネントを特徴としており、複雑なデータセットから貴重なパターンやトレンドを抽出するのに役立つAI駆動の分析および視覚化ツールも備えています。
データタイプ別では、テキストデータセグメントが予測期間中に最も高いCAGRで成長することが記録されています。
テキストデータに対するAIデータ管理は、人工知能技術を使用して非構造的なテキスト情報を構造化された形で整理、分析、活用することを含みます。テキストデータは、その非構造的な特性、さまざまな形式、そして言語のニュアンスのために独自の課題を呈します。AIベースの自然言語処理(NLP)およびテキスト分析は、この分野で重要な役割を果たし、システムが膨大なテキストから理解、分類、洞察の抽出、そして意味の導出を可能にします。感情分析、固有表現認識、トピックモデリング、言語翻訳などの技術は、テキストデータから貴重な情報、感情の傾向、そして文脈の理解を抽出することを可能にします。AI駆動のテキストデータ管理は、顧客フィードバック分析、コンテンツのカテゴライズ、文書要約、チャットボット、情報検索システムなどに応用され、組織が非構造的なテキスト情報の豊富さを利用して情報に基づいた意思決定を行い、ユーザー体験を向上させる方法を革新しています。
アジア太平洋地域は予測期間中に最も高いCAGRを記録する見込みです。
アジア太平洋地域は、AIデータ管理において remarkable growth and evolution を遂げています。技術の進歩、デジタル化の進展、そして急成長するテックエコシステムが共存し、APAC地域の国々はAI主導のデータ管理ソリューションを積極的に受け入れています。中国、インド、日本、韓国、シンガポールなどの国々は、データ管理のためのAI技術の進展において重要な役割を果たしています。中国はAI研究開発に多くの投資を行い、データ駆動型技術におけるイノベーションを促進しています。インドはITの専門知識で知られ、特に金融、ヘルスケア、eコマースなどのデータ集約型産業においてAIを急速に採用しています。日本と韓国は、精密製造やロボティクスにおけるAIの活用に注力しており、シンガポールはこの地域におけるAI開発と展開のハブとして自らを積極的にプロモーションしています。APAC地域における多様な経済と産業は、AIデータ管理ソリューションへの需要の高まりを促進しています。
プライマリーの内訳
AIデータ管理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、及び幹部と詳細なインタビューが行われました。
会社別:ティアI:35%、ティアII:45%、ティアIII:20%
役職別:Cレベルエグゼクティブ:35%、ディレクター:25%、その他:40%
地域別: 北米: 45%、ヨーロッパ: 20%、アジア太平洋: 30%、その他の地域: 5%
主要なベンダーは、AIデータ管理プラットフォーム、ソフトウェア/ツール、サービスを提供。
リサーチカバレッジ
市場調査は、セグメント全体にわたるAIデータ管理を網羅しています。市場規模の推定と、タイプ別、デプロイメントモード別、データタイプ、アプリケーション、技術、垂直、地域などの異なるセグメントでの成長可能性の評価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、企業プロフィール、製品およびビジネスの提供に関する重要な観察、最近の動向、主要な市場戦略が含まれています。
報告書購入の主な利点
この報告書は、市場のリーダーや新規参入者に、AIデータ管理とそのサブセグメント全体の収益数字に関する最も近い推定値を提供します。これにより、ステークホルダーは競争環境を理解し、自社をより良く位置づけ、適切な市場進出戦略を計画するための洞察を得ることができます。また、ステークホルダーが市場の脈動を理解し、主要な市場ドライバー、制約、課題、機会に関する情報を提供します。
この報告書は以下のポイントについての洞察を提供しています:
• 主要原動力の分析(AI駆動のデータファブリックソリューションと自動統合が市場拡大を促進、クラウド技術の進化がAIデータ管理市場の成長を推進、AIとMLの急速な進展が変革的なデータ管理ソリューションの採用を促進)、制約(データの可用性と品質に関連する問題、バイアスと不正確さへの感受性)、機会(自動データクレンジングによるデータ準備の革命、強化された予測分析が企業に将来のトレンドを予測する力を与える、パーソナライズされた適応型システムが市場の重要な機会として浮上)、および課題(大規模で多様なデータセットでのAIトレーニングによるデータ品質の向上が市場の課題、データ管理における熟練したAI専門家の獲得が市場に挑戦、熟練した労働力のための教育ギャップを埋める制限)がAIデータ管理市場の成長に影響を与えています。
• 製品開発/イノベーション:AIデータ管理市場における今後の技術、研究開発活動、新製品およびサービスの立ち上げに関する詳細な洞察。
• マーケット開発:魅力的な市場に関する包括的な情報 - 報告書は、さまざまな地域にわたるAIデータ管理市場を分析しています。
市場の多様化:新しい製品とサービス、未開拓の地域、最近の動向、AIデータ管理市場戦略への投資に関する網羅的な情報。レポートは、利害関係者がAIデータ管理市場の動向を理解し、市場の主要な推進要因、制約、課題、機会に関する情報を提供するのに役立ちます。
• 競争評価:AIデータ管理市場におけるMicrosoft(米国)、IBM(米国)、AWS(米国)、Google(米国)、Oracle(米国)などの主要プレイヤーの市場シェア、成長戦略およびサービス提供を詳細に評価します。

※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 32

    • 1.1 調査の目的 32
    • 1.2 市場の定義 32
    • 1.3 市場範囲 33
      • 1.3.1 市場セグメンテーション 33
      • 1.3.2 包含・除外事項 34
      • 1.3.3 対象地域 34
    • 1.4 対象年 35
    • 1.5 通貨 35
    • 1.6 ステークホルダー 35
  • 2 調査手法 36

    • 2.1 リサーチデータ 36
      • 2.1.1 二次データ 37
      • 2.1.2 一次データ 37
        • 2.1.2.1 主なプロファイル内訳 38
        • 2.1.2.2 業界専門家によるキーインサイト 38
    • 2.2 データの三角測量と市場分割 39
    • 2.3 市場規模予測 40
      • 2.3.1 トップダウンアプローチ 40
      • 2.3.2 ボトムアップアプローチ 41
    • 2.4 市場予測 44
    • 2.5 前提 45
    • 2.6 制約 47
    • 2.7 不況の影響 47
  • 3 エグゼクティブサマリー 49

  • 4 更なる考察 56

    • 4.1 AIデータマネジメント市場における主要プレーヤーの魅力的な機会 56
    • 4.2 AIデータマネジメントの市場、用途別 56
    • 4.3 AIデータマネジメント市場:オファリング別、主要分野別 57
    • 4.4 AIデータマネジメントの市場、地域別 57
  • 5 市場概要・業界トレンド 58

    • 5.1 イントロダクション 58
    • 5.2 市場ダイナミクス 58
      • 5.2.1 促進要因 59
      • 5.2.2 抑制要因 60
        • 5.2.2.1 関連性が高く、包括的で質の高いデータの不足 60
        • 5.2.2.2 バイアスや不正確さへの感受性 61
      • 5.2.3 市場機会 61
        • 5.2.3.1 データクリーニングの自動化により、データ準備に革命をもたらし、より良い洞察を得る 61
        • 5.2.3.2 将来のトレンドを予測するための予測分析の強化 62
        • 5.2.3.3 パーソナライズされた適応システムの台頭 62
      • 5.2.4 課題 63
    • 5.3 AIデータマネジメント市場:アーキテクチャ 64
    • 5.4 AIデータマネジメント市場:進化 65
    • 5.5 サプライチェーン分析 66
    • 5.6 エコシステム、マーケットマップ 67
      • 5.6.1 プラットフォームプロバイダー 69
      • 5.6.2 ソフトウェアプロバイダー 69
      • 5.6.3 サービスプロバイダー 69
      • 5.6.4 規制機関 69
    • 5.7 ケーススタディ分析 70
    • 5.8 規制や関税の概観 74
      • 5.8.1 規制当局、政府機関、その他組織 75
      • 5.8.2 北米 80
        • 5.8.2.1 米国 80
        • 5.8.2.2 カナダ 80
      • 5.8.3 ヨーロッパ 80
      • 5.8.4 アジア太平洋 80
        • 5.8.4.1 韓国 80
        • 5.8.4.2 中国 80
        • 5.8.4.3 インド 81
      • 5.8.5 中東・アフリカ 81
        • 5.8.5.1 アラブ首長国連邦 81
        • 5.8.5.2 KSA 81
        • 5.8.5.3 バーレーン 81
      • 5.8.6 ラテンアメリカ 81
        • 5.8.6.1 ブラジル 81
        • 5.8.6.2 メキシコ 81
    • 5.9 特許分析 82
      • 5.9.1 調査手法 82
      • 5.9.2 特許出願(文書タイプ別 82
      • 5.9.3 イノベーション・特許 82
        • 5.9.3.1 AIデータマネジメント市場参入希望者トップ10 83
    • 5.10 AIデータマネジメントソフトウェアの貿易分析 86
      • 5.10.1 コンピューターソフトウェアの輸入シナリオ 86
      • 5.10.2 コンピューターソフトウェアの輸出シナリオ 87
    • 5.11 技術分析 88
      • 5.11.1 AIデータマネジメント市場:技術分析 89
        • 5.11.1.1 キーテクノロジー 89
          • 5.11.1.1.1 ML 89
          • 5.11.1.1.2 自然言語処理 90
          • 5.11.1.1.3 コンピュータービジョン 90
          • 5.11.1.1.4 エッジAI 91
        • 5.11.1.2 補完的テクノロジー 91
          • 5.11.1.2.1 ビッグデータ 91
          • 5.11.1.2.2 クラウドコンピューティング 92
          • 5.11.1.2.3 5G 92
          • 5.11.1.2.4 予測分析 93
        • 5.11.1.3 アディショナルテクノロジー 94
          • 5.11.1.3.1 IOT 94
          • 5.11.1.3.2 エッジコンピューティング 94
          • 5.11.1.3.3 ブロックチェーン 95
          • 5.11.1.3.4 デジタルツイン 95
    • 5.12 価格分析 96
    • 5.13 ポーターのファイブフォース分析 98
      • 5.13.1 新規参入の脅威 99
      • 5.13.2 代替品の脅威 99
      • 5.13.3 サプライヤーの交渉力 99
      • 5.13.4 買い手の交渉力 99
      • 5.13.5 競合・競争状況の激しさ 100
    • 5.14 顧客ビジネスにインパクトを与えるトレンドやディスラプション 100
    • 5.15 主要なカンファレンスイベント 2023年~2025年 101
    • 5.16 主なステークホルダーと購入基準 102
      • 5.16.1 購買プロセスにおける主要ステークホルダー 102
      • 5.16.2 購買基準 103
    • 5.17 AIデータマネジメント市場における技術ロードマップ 103
    • 5.18 AIデータマネジメント市場におけるベストプラクティス 105
    • 5.19 AIデータマネジメント市場におけるビジネスモデル 106
      • 5.19.1 データ・アズ・ア・サービス(daas) 106
      • 5.19.2 AIを活用した分析と洞察 107
      • 5.19.3 データガバナンス・コンプライアンスソリューション 107
      • 5.19.4 パーソナライゼーションとレコメンデーション・エンジン 107
      • 5.19.5 AIインフラとツール 107
  • 6 AIデータマネジメントの市場、オファリング別 108

    • 6.1 イントロダクション 109
      • 6.1.1 オファリング:AIデータマネジメント市場のドライバー 109
    • 6.2 オファリング、タイプ別 110
      • 6.2.1 プラットフォーム 110
        • 6.2.1.1 AIデータマネジメントプラットフォームは、AIライフサイクル全体のデータハンドリングを合理化するエンドツーエンドのソリューションを提供 110
        • 6.2.1.2 データ収集と取り込み 113
        • 6.2.1.3 データの準備と処理 113
        • 6.2.1.4 データウェアハウス 113
        • 6.2.1.5 データ分析 113
        • 6.2.1.6 データガバナンス 114
        • 6.2.1.7 データ品質管理 114
        • 6.2.1.8 データ・ライフサイクル管理 115
        • 6.2.1.9 その他のプラットフォーム 115
      • 6.2.2 ソフトウェアツール 116
      • 6.2.3 サービス 120
    • 6.3 オファリング、展開モード別 124
      • 6.3.1 クラウド 125
      • 6.3.2 オンプレミス 126
  • 7 AIデータマネジメント市場:データタイプ別 127

    • 7.1 イントロダクション 128
      • 7.1.1 データタイプ:AIデータマネジメント市場のドライバー 128
    • 7.2 オーディオ・データ 130
    • 7.3 音声データ 131
    • 7.4 画像データ 132
    • 7.5 テキストデータ 133
    • 7.6 ビデオデータ 134
  • 8 AIデータマネジメントの市場、技術別 135

    • 8.1 イントロダクション 136
      • 8.1.1 技術:AIデータマネジメント市場のドライバー 136
    • 8.2 機械学習 137
      • 8.2.1 正確で予測可能な機械学習モデルの必要性が、AIデータマネジメントの需要を促進 137
      • 8.2.2 ディープラーニング 138
        • 8.2.2.1 CNN 138
        • 8.2.2.2 RNN 139
        • 8.2.2.3 生成AI 139
    • 8.3 自然言語処理 139
    • 8.4 コンピュータービジョン 140
    • 8.5 コンテキストアウェアネス 141
  • 9 AIデータマネジメントの市場、用途別 143

    • 9.1 イントロダクション 144
      • 9.1.1 アプリケーション:AIデータマネジメント市場のドライバー 144
    • 9.2 プロセス自動化 146
    • 9.3 データ検証とノイズ除去 147
    • 9.4 データ補強 148
    • 9.5 探索的データ分析 149
    • 9.6 インピュテーションと予測モデリング 150
    • 9.7 データの匿名化と圧縮 151
    • 9.8 その他の用途 152
  • 10 AIデータマネジメントの市場、バーティカル別 154

    • 10.1 イントロダクション 155
      • 10.1.1 バーティカル:AIデータマネジメント市場のドライバー 155
    • 10.2 銀行・保険・金融サービス 157
      • 10.2.1 不正行為の検知 158
      • 10.2.2 顧客離れ予測 159
      • 10.2.3 信用リスク評価 159
      • 10.2.4 マネーロンダリング防止(AML)コンプライアンス 160
      • 10.2.5 その他のBFSIアプリケーションタイプ 160
    • 10.3 小売・eコマース 161
      • 10.3.1 パーソナライズされた商品推薦 162
      • 10.3.2 在庫管理 162
      • 10.3.3 ダイナミックプライシング 162
      • 10.3.4 顧客センチメント分析 163
      • 10.3.5 その他の小売&eコマース・アプリケーション・タイプ 163
    • 10.4 通信 164
      • 10.4.1 ネットワーク・パフォーマンスの最適化 165
      • 10.4.2 ネットワークセキュリティ 165
      • 10.4.3 サービス品質モニタリング 165
      • 10.4.4 カスタマーサポート・チャットボット 166
      • 10.4.5 その他の通信アプリケーションタイプ 166
    • 10.5 ヘルスケア&ライフサイエンス 167
      • 10.5.1 疾病の診断 168
      • 10.5.2 ドラッグ・ディスカバリー 168
      • 10.5.3 患者モニタリング 168
      • 10.5.4 クリニカルトレイルの最適化 169
      • 10.5.5 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 169
    • 10.6 製造 170
      • 10.6.1 品質管理 171
      • 10.6.2 RPA 171
      • 10.6.3 需要予測 171
      • 10.6.4 生産最適化 172
      • 10.6.5 その他の製造アプリケーションタイプ 172
    • 10.7 IT・ITeS 172
      • 10.7.1 ITサービスマネジメント 173
      • 10.7.2 プレディクティブ・メンテナンス 174
      • 10.7.3 キャパシティプランニング 174
      • 10.7.4 データ・バックアップ・リカバリ 174
      • 10.7.5 その他のIT & ITeSアプリケーションタイプ 174
    • 10.8 政府機関・防衛 175
      • 10.8.1 自然災害への対応 176
      • 10.8.2 予測警察 176
      • 10.8.3 国境管理と入国管理 177
      • 10.8.4 公衆衛生モニタリング 177
      • 10.8.5 その他の政府・防衛関連アプリケーション 177
    • 10.9 メディア・エンターテインメント 178
      • 10.9.1 コンテンツ推薦 179
      • 10.9.2 コンテンツ制作 179
      • 10.9.3 観客動員分析 179
      • 10.9.4 リアルタイム・ストリーミング最適化 180
      • 10.9.5 その他のメディア&エンターテインメント・アプリケーション 180
    • 10.10 エネルギー・公益 180
      • 10.10.1 グリッドマネジメント 181
      • 10.10.2 エネルギー消費分析 182
      • 10.10.3 再生可能エネルギー予測 182
      • 10.10.4 環境影響評価 183
      • 10.10.5 その他のエネルギー&公益事業 183
    • 10.11 その他のバーティカル 184
  • 11 AIデータマネジメントの市場、地域別 185

    • 11.1 イントロダクション 186
    • 11.2 北米 188
      • 11.2.1 北米:AIデータマネジメント市場のドライバー 188
      • 11.2.2 北米:リセッション時のインパクト分析 189
      • 11.2.3 米国 197
      • 11.2.4 カナダ 197
    • 11.3 ヨーロッパ 198
      • 11.3.1 ヨーロッパ:AIデータマネジメント市場のドライバー 198
      • 11.3.2 ヨーロッパ:リセッション時のインパクト分析 199
      • 11.3.3 英国 206
      • 11.3.4 ドイツ 207
      • 11.3.5 フランス 207
      • 11.3.6 スペイン 208
      • 11.3.7 イタリア 209
      • 11.3.8 その他のヨーロッパ 209
    • 11.4 アジア太平洋 210
      • 11.4.1 アジア太平洋:AIデータマネジメント市場のドライバー 211
      • 11.4.2 アジア太平洋:リセッション時のインパクト分析 211
      • 11.4.3 中国 220
      • 11.4.4 日本 221
      • 11.4.5 インド 221
      • 11.4.6 韓国 222
      • 11.4.7 オーストラリア・ニュージーランド 223
      • 11.4.8 その他のアジア太平洋 223
    • 11.5 中東・アフリカ 224
      • 11.5.1 中東・アフリカ:AIデータマネジメント市場のドライバー 224
      • 11.5.2 中東・アフリカ:リセッション時のインパクト分析 225
      • 11.5.3 アラブ首長国連邦 232
      • 11.5.4 KSA 233
      • 11.5.5 南アフリカ 233
      • 11.5.6 トルコ 234
      • 11.5.7 その他の中東・アフリカ 234
    • 11.6 ラテンアメリカ 235
      • 11.6.1 ラテンアメリカ:AIデータマネジメント市場のドライバー 236
      • 11.6.2 ラテンアメリカ:リセッション時のインパクト分析 236
      • 11.6.3 ブラジル 244
      • 11.6.4 メキシコ 245
      • 11.6.5 アルゼンチン 245
      • 11.6.6 その他のラテンアメリカ 246
  • 12 競合情勢 247

    • 12.1 概要 247
    • 12.2 主要企業の成功戦略 247
    • 12.3 収益分析 249
    • 12.4 市場シェア分析 249
    • 12.5 BRAND/PRODUCT COMPARATIVE ANALYSIS 251
    • 12.6 企業評価マトリックス 251
      • 12.6.1 STARS 251
      • 12.6.2 EMERGING LEADERS 251
      • 12.6.3 PERVASIVE PLAYERS 252
      • 12.6.4 PARTICIPANTS 252
      • 12.6.5 主要プレイヤーの企業フットプリント 253
    • 12.7 スタートアップ/中小企業4象限評価 2022年 257
      • 12.7.1 PROGRESSIVE COMPANIES 257
      • 12.7.2 RESPONSIVE COMPANIES 257
      • 12.7.3 DYNAMIC COMPANIES 257
      • 12.7.4 STARTING BLOCKS 257
      • 12.7.5 競合ベンチマーキング 259
    • 12.8 COMPETITIVE SCENARIO AND TRENDS 260
      • 12.8.1 製品展開 260
      • 12.8.2 ディール 263
      • 12.8.3 その他 266
    • 12.9 VALUATION AND FINANCIAL METRICS OF KEY VENDORS 267
    • 12.10 YTD PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS 267
  • 13 企業プロファイル 268

    • 13.1 イントロダクション 268
    • 13.2 主要企業 268
      • 13.2.1 MICROSOFT 268
      • 13.2.2 IBM 276
      • 13.2.3 AWS 284
      • 13.2.4 GOOGLE 292
      • 13.2.5 ORACLE 305
      • 13.2.6 SALESFORCE 312
      • 13.2.7 SAP 320
      • 13.2.8 SAS INSTITUTE 327
      • 13.2.9 HPE 334
      • 13.2.10 SNOWFLAKE 339
      • 13.2.11 TERADATA 345
      • 13.2.12 INFORMATICA 351
      • 13.2.13 DATABRICKS 361
      • 13.2.14 TIBCO SOFTWARE 371
      • 13.2.15 QLIK 376
      • 13.2.16 COLLIBRA 384
      • 13.2.17 DATAIKU 385
      • 13.2.18 ALTERYX 386
      • 13.2.19 DATAMATICS BUSINESS SOLUTIONS 387
      • 13.2.20 ACCENTURE 388
    • 13.3 スタートアップ / 中小企業 389
      • 13.3.1 ATACCAMA CORPORATION 389
      • 13.3.2 RELTIO 390
      • 13.3.3 TAMR 391
      • 13.3.4 THOUGHTSPOT 392
      • 13.3.5 ATSCALE 393
      • 13.3.6 ALATION 394
      • 13.3.7 CLARIFAI 395
      • 13.3.8 DDN STORAGE 396
      • 13.3.9 DATALOOP AI 397
      • 13.3.10 ASTERA SOFTWARE 398
  • 14 関連市場 399

    • 14.1 イントロダクション 399
    • 14.2 マスターデータマネジメント市場 399
      • 14.2.1 市場の定義 399
      • 14.2.2 市場概要 399
        • 14.2.2.1 マスターデータマネジメントの市場、コンポーネント別 400
        • 14.2.2.2 マスターデータマネジメントの市場、展開タイプ別 401
        • 14.2.2.3 マスターデータマネジメントの市場、組織規模別 402
        • 14.2.2.4 マスターデータマネジメントの市場、バーティカル別 402
        • 14.2.2.5 マスターデータマネジメントの市場、地域別 403
    • 14.3 メタデータ管理ツール市場 404
      • 14.3.1 市場の定義 404
      • 14.3.2 市場概要 404
        • 14.3.2.1 メタデータ管理ツールの市場、用途別 406
        • 14.3.2.2 メタデータ管理ツールの市場、ファンクション別 407
        • 14.3.2.3 メタデータ管理ツールの市場、組織規模別 408
        • 14.3.2.4 メタデータ管理ツールの市場、バーティカル別 409
        • 14.3.2.5 メタデータ管理ツールの市場、コンポーネント別 410
        • 14.3.2.6 メタデータ管理ツール市場:メタデータタイプ別 411
        • 14.3.2.7 メタデータ管理ツールの市場、展開モード別 412
        • 14.3.2.8 メタデータ管理ツールの市場、地域別 412
  • 15 付録 414

    • 15.1 ディスカッションガイド 414
    • 15.2 ナレッジストア 420
    • 15.3 カスタマイズオプション 422
    • 15.4 関連レポート 422
    • 15.5 執筆者の詳細 423

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Description

The global AI data management market is valued at USD 25.1 billion in 2023 and is estimated to reach USD 70.2 billion by 2028, registering a CAGR of 22.8% during the forecast period. The advent and widespread adoption of cloud computing have redefined the way organizations store, process, and access data. Cloud technologies provide a scalable and flexible foundation, enabling businesses to efficiently manage their ever-growing volumes of data without the constraints of traditional on-premises infrastructure. The shift towards cloud-based platforms is instrumental in driving the demand for AI data management solutions. Cloud environments offer the agility required to adapt to dynamic business needs, allowing organizations to scale their data management capabilities seamlessly. AI-driven data management tools designed for the cloud are inherently more scalable, enabling businesses to handle diverse datasets and increasing workloads effectively. This scalability is particularly crucial as the sheer volume and variety of data continue to expand exponentially. “By offering, the platform segment is projected to hold the largest market size during the forecast period.” Platforms in AI data management serve as comprehensive ecosystems that facilitate the collection, storage, processing, analysis, and utilization of data using artificial intelligence technologies. These platforms integrate various tools, algorithms, and functionalities that enable organizations to manage their data efficiently and derive actionable insights. They often feature components for data ingestion, cleansing, and transformation, along with AI-driven analytics and visualization tools that help in extracting valuable patterns and trends from complex datasets. “By data type, Text Data segment is registered to grow at the highest CAGR during the forecast period.” AI data management for text data involves the structured organization, analysis, and utilization of unstructured textual information using artificial intelligence techniques. Text data presents unique challenges due to its unstructured nature, varying formats, and nuances in language. AI-based natural language processing (NLP) and text analytics are pivotal in this domain, allowing systems to comprehend, categorize, extract insights, and derive meaning from vast volumes of text. Techniques like sentiment analysis, named entity recognition, topic modeling, and language translation enable the extraction of valuable information, sentiment trends, and contextual understanding from text data. AI-driven text data management finds applications in customer feedback analysis, content categorization, document summarization, chatbots, and information retrieval systems, revolutionizing how organizations harness the wealth of unstructured textual information to make informed decisions and enhance user experiences. “Asia Pacific is projected to witness the highest CAGR during the forecast period.” Asia Pacific region has witnessed remarkable growth and evolution in AI data management. With a surge in technological advancements, increased digitalization, and a burgeoning tech ecosystem, countries within the APAC region have been actively embracing AI-driven data management solutions. Countries like China, India, Japan, South Korea, and Singapore have emerged as key players in advancing AI technologies for data management. China, for instance, has heavily invested in AI research and development, fostering innovation in data-driven technologies. India, known for its IT expertise, has been rapidly adopting AI in various sectors, especially in data-intensive industries like finance, healthcare, and e-commerce. Japan and South Korea have been focusing on leveraging AI for precision manufacturing and robotics, while Singapore has been actively promoting itself as a hub for AI development and deployment in the region. The diverse economies and industries across the APAC region have driven a growing demand for AI data management solutions. 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 AI data management market.  By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%  By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%  By Region: North America: 45%, Europe: 20%, Asia Pacific: 30%, RoW: 5% Major vendors offering AI data management platform, software/tools and services across the globe are Microsoft (US), AWS (US), IBM (US), Google (US), Oracle (US), Salesforce (US), SAP (Germany), SAS Institute (US), HPE (US), Snowflake (US), Teradata (US), Informatica (US), Databricks (US), TIBCO Software (US), Qlik (US), Collibra (US), Dataiku (US), Alteryx (US), Datamatics Business Solutions (US), Accenture (Ireland), Ataccama (Canada), Reltio (US), Tamr (US), ThoughtSpot (US), AtScale (US), Alation (US), Clarifai (US), DDN Storage (US), Dataloop AI (US) Astera Software (US). Research Coverage The market study covers AI data management across segments. It aims at estimating the market size and the growth potential across different segments, such as offering by type, offering by deployment mode, data type, application, technology, 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 market for AI data management 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 (AI-powered data fabric solutions and automated integration fueling market expansion, the evolution in cloud technology to drive the AI Data Management market growth, Rapid advancements in AI and ML to propel the adoption of transformative data management solutions), restraints (Issues related to data availability and quality and susceptibility to bias and inaccuracies), opportunities (Automated data cleaning to revolutionize data preparation for better insights, enhanced predictive analytics to empower businesses to anticipate future trends, personalized and adaptive systems to emerge as a significant opportunity in the market), and challenges (Training AI on large and diverse datasets to enhance data quality poses market challenges, acquiring skilled AI experts in data management to challenge the market, limitations in bridging the educational gap for a skilled workforce) influencing the growth of the AI data management market • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI data management market. • Market Development: Comprehensive information about lucrative markets – the report analyses the AI data management market across varied regions. • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in AI data management market strategies; the report also helps stakeholders understand the pulse of the AI data management 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 Microsoft (US), IBM (US), AWS (US), Google (US), Oracle (US) among others in the AI data management market.

Table of Contents

  • 1 INTRODUCTION 32

    • 1.1 STUDY OBJECTIVES 32
    • 1.2 MARKET DEFINITION 32
    • 1.3 MARKET SCOPE 33
      • 1.3.1 MARKET SEGMENTATION 33
      • 1.3.2 INCLUSIONS AND EXCLUSIONS 34
      • 1.3.3 REGIONS COVERED 34
    • 1.4 YEARS CONSIDERED 35
    • 1.5 CURRENCY CONSIDERED 35
    • 1.6 STAKEHOLDERS 35
  • 2 RESEARCH METHODOLOGY 36

    • 2.1 RESEARCH DATA 36
      • 2.1.1 SECONDARY DATA 37
      • 2.1.2 PRIMARY DATA 37
        • 2.1.2.1 Breakup of primary profiles 38
        • 2.1.2.2 Key insights from industry experts 38
    • 2.2 DATA TRIANGULATION AND MARKET BREAKUP 39
    • 2.3 MARKET SIZE ESTIMATION 40
      • 2.3.1 TOP-DOWN APPROACH 40
      • 2.3.2 BOTTOM-UP APPROACH 41
    • 2.4 MARKET FORECAST 44
    • 2.5 ASSUMPTIONS 45
    • 2.6 LIMITATIONS 47
    • 2.7 IMPACT OF RECESSION 47
  • 3 EXECUTIVE SUMMARY 49

  • 4 PREMIUM INSIGHTS 56

    • 4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN AI DATA MANAGEMENT MARKET 56
    • 4.2 AI DATA MANAGEMENT MARKET, BY APPLICATION 56
    • 4.3 AI DATA MANAGEMENT MARKET, BY OFFERING & KEY VERTICAL 57
    • 4.4 AI DATA MANAGEMENT MARKET, BY REGION 57
  • 5 MARKET OVERVIEW AND INDUSTRY TRENDS 58

    • 5.1 INTRODUCTION 58
    • 5.2 MARKET DYNAMICS 58
      • 5.2.1 DRIVERS 59
        • 5.2.1.1 Adoption of AI-powered data fabric solutions and automated integration 59
        • 5.2.1.2 Emergence and widespread adoption of cloud computing and evolution in cloud technology 59
        • 5.2.1.3 Rapid advancements in AI and ML and adoption of transformative data management solutions 60
      • 5.2.2 RESTRAINTS 60
        • 5.2.2.1 Scarcity of relevant, comprehensive, and high-quality data 60
        • 5.2.2.2 Susceptibility to biases and inaccuracies 61
      • 5.2.3 OPPORTUNITIES 61
        • 5.2.3.1 Automated data cleaning to revolutionize data preparation for better insights 61
        • 5.2.3.2 Enhanced predictive analytics to empower businesses to anticipate future trends 62
        • 5.2.3.3 Rise of personalized and adaptive systems 62
      • 5.2.4 CHALLENGES 63
        • 5.2.4.1 Acquiring and curating large datasets leading to need for substantial resources 63
        • 5.2.4.2 Lack of professional knowledge and scarcity of skilled AI experts 63
        • 5.2.4.3 Limited access to specialized education and training programs tailored to AI data management 64
    • 5.3 AI DATA MANAGEMENT MARKET: ARCHITECTURE 64
    • 5.4 AI DATA MANAGEMENT MARKET: EVOLUTION 65
    • 5.5 SUPPLY CHAIN ANALYSIS 66
    • 5.6 ECOSYSTEM/MARKET MAP 67
      • 5.6.1 PLATFORM PROVIDERS 69
      • 5.6.2 SOFTWARE PROVIDERS 69
      • 5.6.3 SERVICE PROVIDERS 69
      • 5.6.4 REGULATORY BODIES 69
    • 5.7 CASE STUDY ANALYSIS 70
      • 5.7.1 CASE STUDY 1: TAMR’S HEALTHCARE PROVIDERS DATA PRODUCT UNIFIED VAST DATA SOURCES AND CREATED RELIABLE RECORDS FOR P360 70
      • 5.7.2 CASE STUDY 2: ALATION EMPOWERED AUSTRALIAN ENERGY COMPANY'S DIGITAL TRANSFORMATION THROUGH DATA GOVERNANCE AND CURATED INSIGHTS 71
      • 5.7.3 CASE STUDY 3: VIACOM18 DEPLOYED AZURE DATABRICKS TO ACCELERATE VIEWER PERSONALIZATION, BOOST PRODUCTIVITY, AND ENHANCE INSIGHTS 71
      • 5.7.4 CASE STUDY 4: CNP ASSURANCES DEPLOYED INFORMATICA MDM TO FACILITATE REAL-TIME AND BATCH-PROCESSING UPDATES TO MANAGE EVOLVING RISK PROFILES EFFECTIVELY 72
      • 5.7.5 CASE STUDY 5: COGNIWARE ADOPTED ARGOS PLATFORM INTEGRATED WITH IBM WATSONX.DATA TO STREAMLINE DATA COLLECTION PROCESS AND EMPOWER USERS TO VISUALIZE CONNECTIONS 73
    • 5.8 TARIFF AND REGULATORY LANDSCAPE 74
      • 5.8.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 75
      • 5.8.2 NORTH AMERICA 80
        • 5.8.2.1 US 80
        • 5.8.2.2 Canada 80
      • 5.8.3 EUROPE 80
      • 5.8.4 ASIA PACIFIC 80
        • 5.8.4.1 South Korea 80
        • 5.8.4.2 China 80
        • 5.8.4.3 India 81
      • 5.8.5 MIDDLE EAST & AFRICA 81
        • 5.8.5.1 UAE 81
        • 5.8.5.2 KSA 81
        • 5.8.5.3 Bahrain 81
      • 5.8.6 LATIN AMERICA 81
        • 5.8.6.1 Brazil 81
        • 5.8.6.2 Mexico 81
    • 5.9 PATENT ANALYSIS 82
      • 5.9.1 METHODOLOGY 82
      • 5.9.2 PATENTS FILED, BY DOCUMENT TYPE 82
      • 5.9.3 INNOVATION AND PATENT APPLICATIONS 82
        • 5.9.3.1 Top 10 applicants in AI data management market 83
    • 5.10 TRADE ANALYSIS FOR AI DATA MANAGEMENT SOFTWARE 86
      • 5.10.1 IMPORT SCENARIO OF COMPUTER SOFTWARE 86
      • 5.10.2 EXPORT SCENARIO OF COMPUTER SOFTWARE 87
    • 5.11 TECHNOLOGY ANALYSIS 88
      • 5.11.1 AI DATA MANAGEMENT MARKET: TECHNOLOGY ANALYSIS 89
        • 5.11.1.1 Key Technologies 89
          • 5.11.1.1.1 ML 89
          • 5.11.1.1.2 NLP 90
          • 5.11.1.1.3 Computer Vision 90
          • 5.11.1.1.4 Edge AI 91
        • 5.11.1.2 Complementary Technologies 91
          • 5.11.1.2.1 Big Data 91
          • 5.11.1.2.2 Cloud Computing 92
          • 5.11.1.2.3 5G 92
          • 5.11.1.2.4 Predictive Analytics 93
        • 5.11.1.3 Adjacent Technologies 94
          • 5.11.1.3.1 IoT 94
          • 5.11.1.3.2 Edge Computing 94
          • 5.11.1.3.3 Blockchain 95
          • 5.11.1.3.4 Digital Twins 95
    • 5.12 PRICING ANALYSIS 96
      • 5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, TOP 3 SOFTWARE TOOLS 96
      • 5.12.2 INDICATIVE PRICING ANALYSIS OF AI DATA MANAGEMENT, BY OFFERING 97
    • 5.13 PORTER’S FIVE FORCES ANALYSIS 98
      • 5.13.1 THREAT OF NEW ENTRANTS 99
      • 5.13.2 THREAT OF SUBSTITUTES 99
      • 5.13.3 BARGAINING POWER OF SUPPLIERS 99
      • 5.13.4 BARGAINING POWER OF BUYERS 99
      • 5.13.5 INTENSITY OF COMPETITIVE RIVALRY 100
    • 5.14 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS 100
    • 5.15 KEY CONFERENCES & EVENTS, 2023-2025 101
    • 5.16 KEY STAKEHOLDERS & BUYING CRITERIA 102
      • 5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS 102
      • 5.16.2 BUYING CRITERIA 103
    • 5.17 TECHNOLOGY ROADMAP OF AI DATA MANAGEMENT MARKET 103
    • 5.18 BEST PRACTICES IN AI DATA MANAGEMENT MARKET 105
    • 5.19 BUSINESS MODELS OF AI DATA MANAGEMENT MARKET 106
      • 5.19.1 DATA AS A SERVICE (DAAS) 106
      • 5.19.2 AI-POWERED ANALYTICS AND INSIGHTS 107
      • 5.19.3 DATA GOVERNANCE AND COMPLIANCE SOLUTIONS 107
      • 5.19.4 PERSONALIZATION AND RECOMMENDATION ENGINES 107
      • 5.19.5 AI INFRASTRUCTURE AND TOOLING 107
  • 6 AI DATA MANAGEMENT MARKET, BY OFFERING 108

    • 6.1 INTRODUCTION 109
      • 6.1.1 OFFERING: AI DATA MANAGEMENT MARKET DRIVERS 109
    • 6.2 OFFERING, BY TYPE 110
      • 6.2.1 PLATFORM 110
        • 6.2.1.1 AI data management platforms to provide end-to-end solutions that streamline data handling across AI lifecycle 110
        • 6.2.1.2 Data collection & ingestion 113
        • 6.2.1.3 Data preparation & processing 113
        • 6.2.1.4 Data warehousing 113
        • 6.2.1.5 Data analytics 113
        • 6.2.1.6 Data governance 114
        • 6.2.1.7 Data quality management 114
        • 6.2.1.8 Data lifecycle management 115
        • 6.2.1.9 Other platforms 115
      • 6.2.2 SOFTWARE TOOLS 116
        • 6.2.2.1 AI data management software tools to streamline data handling and analysis within AI ecosystems 116
        • 6.2.2.2 Data integration & ETL 118
        • 6.2.2.3 Data visualization & reporting 118
        • 6.2.2.4 Data modeling 119
        • 6.2.2.5 Data security & privacy 119
        • 6.2.2.6 Data labeling & annotation 119
        • 6.2.2.7 Data cleaning & normalization 120
        • 6.2.2.8 Data versioning 120
      • 6.2.3 SERVICES 120
        • 6.2.3.1 Need for expertise in data governance, data quality, and AI-driven analytics to drive demand for AI data management services 120
        • 6.2.3.2 Consulting 122
        • 6.2.3.3 System integration & implementation 122
        • 6.2.3.4 Support & maintenance 122
        • 6.2.3.5 Data migration 123
        • 6.2.3.6 AI change management & adoption 123
        • 6.2.3.7 AI platform administration 123
    • 6.3 OFFERING, BY DEPLOYMENT MODE 124
      • 6.3.1 CLOUD 125
        • 6.3.1.1 Scalability and accessibility of cloud-based AI data management solutions to fuel its demand 125
      • 6.3.2 ON-PREMISES 126
        • 6.3.2.1 Stringent data governance and security requirements to propel demand for on-premises AI data management solutions 126
  • 7 AI DATA MANAGEMENT MARKET, BY DATA TYPE 127

    • 7.1 INTRODUCTION 128
      • 7.1.1 DATA TYPE: AI DATA MANAGEMENT MARKET DRIVERS 128
    • 7.2 AUDIO DATA 130
      • 7.2.1 RISING ADOPTION OF VOICE-ENABLED DEVICES AND PERSONALIZED AUDIO EXPERIENCES TO PROPEL MARKET 130
    • 7.3 SPEECH & VOICE DATA 131
      • 7.3.1 RISE OF VOICE-CONTROLLED DEVICES AND DEMAND FOR SEAMLESS SPEECH RECOGNITION TECHNOLOGIES TO DRIVE MARKET 131
    • 7.4 IMAGE DATA 132
      • 7.4.1 NEED FOR IMAGE RECOGNITION TECHNOLOGIES ACROSS INDUSTRIES TO BOOST DEMAND FOR AI DATA MANAGEMENT FOR IMAGE DATA 132
    • 7.5 TEXT DATA 133
      • 7.5.1 REQUIREMENT FOR SENTIMENT ANALYSIS AND LANGUAGE PROCESSING TECHNOLOGIES TO DRIVE MARKET 133
    • 7.6 VIDEO DATA 134
      • 7.6.1 NEED FOR VIDEO ANALYTICS IN VARIOUS VERTICALS TO FUEL GROWTH OF AI DATA MANAGEMENT FOR VIDEO DATA 134
  • 8 AI DATA MANAGEMENT MARKET, BY TECHNOLOGY 135

    • 8.1 INTRODUCTION 136
      • 8.1.1 TECHNOLOGY: AI DATA MANAGEMENT MARKET DRIVERS 136
    • 8.2 MACHINE LEARNING 137
      • 8.2.1 NEED FOR ACCURATE AND PREDICTIVE MACHINE LEARNING MODELS TO FUEL DEMAND FOR ROBUST AI DATA MANAGEMENT 137
      • 8.2.2 DEEP LEARNING 138
        • 8.2.2.1 CNNs 138
        • 8.2.2.2 RNNs 139
        • 8.2.2.3 Generative AI 139
    • 8.3 NATURAL LANGUAGE PROCESSING 139
      • 8.3.1 INCREASING DEMAND FOR ADVANCED LANGUAGE UNDERSTANDING AND COMMUNICATION CAPABILITIES TO DRIVE MARKET 139
    • 8.4 COMPUTER VISION 140
      • 8.4.1 GROWING NEED FOR ACCURATE IMAGE AND VIDEO ANALYSIS ACROSS INDUSTRIES TO PROPEL DEMAND FOR COMPUTER VISION TECHNOLOGY 140
    • 8.5 CONTEXT AWARENESS 141
      • 8.5.1 CONTEXT AWARENESS IN AI DATA MANAGEMENT TO DELIVER TAILORED EXPERIENCES, OPTIMIZE DECISION-MAKING, AND PERSONALIZE INTERACTIONS 141
  • 9 AI DATA MANAGEMENT MARKET, BY APPLICATION 143

    • 9.1 INTRODUCTION 144
      • 9.1.1 APPLICATION: AI DATA MANAGEMENT MARKET DRIVERS 144
    • 9.2 PROCESS AUTOMATION 146
      • 9.2.1 INCREASED OPERATIONAL EFFICIENCY AND REDUCED MANUAL INTERVENTION TO FUEL DEMAND FOR PROCESS AUTOMATION 146
    • 9.3 DATA VALIDATION & NOISE REDUCTION 147
      • 9.3.1 NEED TO ENSURE DATA ACCURACY AND RELIABILITY AND REDUCE UNWANTED DISTORTIONS TO PROPEL MARKET 147
    • 9.4 DATA AUGMENTATION 148
      • 9.4.1 NEED TO ENHANCE MODEL GENERALIZATION AND PERFORMANCE BY ARTIFICIALLY EXPANDING DATASETS TO DRIVE MARKET 148
    • 9.5 EXPLORATORY DATA ANALYSIS 149
      • 9.5.1 NECESSITY OF UNCOVERING VALUABLE INSIGHTS, UNDERSTANDING DATA DISTRIBUTIONS, AND PREPARING DATA FOR SUBSEQUENT MODELING OR ANALYSIS TO DRIVE MARKET 149
    • 9.6 IMPUTATION & PREDICTIVE MODELING 150
      • 9.6.1 NEED TO HANDLE MISSING DATA EFFECTIVELY AND GENERATE ACCURATE PREDICTIONS TO PROPEL MARKET 150
    • 9.7 DATA ANONYMIZATION & COMPRESSION 151
      • 9.7.1 NEED TO ENSURE PRIVACY, REDUCE STORAGE REQUIREMENTS, AND OPTIMIZE DATA PROCESSING TO DRIVE MARKET 151
    • 9.8 OTHER APPLICATIONS 152
  • 10 AI DATA MANAGEMENT MARKET, BY VERTICAL 154

    • 10.1 INTRODUCTION 155
      • 10.1.1 VERTICAL: AI DATA MANAGEMENT MARKET DRIVERS 155
    • 10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 157
      • 10.2.1 FRAUD DETECTION 158
      • 10.2.2 CUSTOMER CHURN PREDICTION 159
      • 10.2.3 CREDIT RISK ASSESSMENT 159
      • 10.2.4 ANTI-MONEY LAUNDERING (AML) COMPLIANCE 160
      • 10.2.5 OTHER BFSI APPLICATION TYPES 160
    • 10.3 RETAIL & ECOMMERCE 161
      • 10.3.1 PERSONALIZED PRODUCT RECOMMENDATION 162
      • 10.3.2 INVENTORY MANAGEMENT 162
      • 10.3.3 DYNAMIC PRICING 162
      • 10.3.4 CUSTOMER SENTIMENT ANALYSIS 163
      • 10.3.5 OTHER RETAIL & ECOMMERCE APPLICATION TYPES 163
    • 10.4 TELECOMMUNICATIONS 164
      • 10.4.1 NETWORK PERFORMANCE OPTIMIZATION 165
      • 10.4.2 NETWORK SECURITY 165
      • 10.4.3 QUALITY OF SERVICE MONITORING 165
      • 10.4.4 CUSTOMER SUPPORT CHATBOTS 166
      • 10.4.5 OTHER TELECOMMUNICATIONS APPLICATION TYPES 166
    • 10.5 HEALTHCARE & LIFE SCIENCES 167
      • 10.5.1 DISEASE DIAGNOSIS 168
      • 10.5.2 DRUG DISCOVERY 168
      • 10.5.3 PATIENT MONITORING 168
      • 10.5.4 CLINICAL TRAILS OPTIMIZATION 169
      • 10.5.5 OTHER HEALTHCARE & LIFE SCIENCES APPLICATION TYPES 169
    • 10.6 MANUFACTURING 170
      • 10.6.1 QUALITY CONTROL 171
      • 10.6.2 ROBOTIC PROCESS AUTOMATION 171
      • 10.6.3 DEMAND FORECASTING 171
      • 10.6.4 PRODUCTION OPTIMIZATION 172
      • 10.6.5 OTHER MANUFACTURING APPLICATION TYPES 172
    • 10.7 IT & ITES 172
      • 10.7.1 IT SERVICE MANAGEMENT 173
      • 10.7.2 PREDICTIVE MAINTENANCE 174
      • 10.7.3 CAPACITY PLANNING 174
      • 10.7.4 DATA BACKUP RECOVERY 174
      • 10.7.5 OTHER IT & ITES APPLICATION TYPES 174
    • 10.8 GOVERNMENT & DEFENSE 175
      • 10.8.1 NATURAL DISASTER RESPONSE 176
      • 10.8.2 PREDICTIVE POLICING 176
      • 10.8.3 BORDER CONTROL & IMMIGRATION 177
      • 10.8.4 PUBLIC HEALTH MONITORING 177
      • 10.8.5 OTHER GOVERNMENT & DEFENSE APPLICATION TYPES 177
    • 10.9 MEDIA & ENTERTAINMENT 178
      • 10.9.1 CONTENT RECOMMENDATION 179
      • 10.9.2 CONTENT CREATION 179
      • 10.9.3 AUDIENCE ENGAGEMENT ANALYSIS 179
      • 10.9.4 REAL-TIME STREAMING OPTIMIZATION 180
      • 10.9.5 OTHER MEDIA & ENTERTAINMENT APPLICATION TYPES 180
    • 10.10 ENERGY & UTILITIES 180
      • 10.10.1 GRID MANAGEMENT 181
      • 10.10.2 ENERGY CONSUMPTION ANALYSIS 182
      • 10.10.3 RENEWABLE ENERGY FORECASTING 182
      • 10.10.4 ENVIRONMENTAL IMPACT ASSESSMENT 183
      • 10.10.5 OTHER ENERGY & UTILITIES APPLICATION TYPES 183
    • 10.11 OTHER VERTICALS 184
  • 11 AI DATA MANAGEMENT MARKET, BY REGION 185

    • 11.1 INTRODUCTION 186
    • 11.2 NORTH AMERICA 188
      • 11.2.1 NORTH AMERICA: AI DATA MANAGEMENT MARKET DRIVERS 188
      • 11.2.2 NORTH AMERICA: RECESSION IMPACT ANALYSIS 189
      • 11.2.3 US 197
        • 11.2.3.1 Robust innovation ecosystem, collaborative efforts, and government initiatives to drive market 197
      • 11.2.4 CANADA 197
        • 11.2.4.1 Demand for tech infrastructure, skilled workforce, well-established ecosystems, and National AI Strategy to propel market 197
    • 11.3 EUROPE 198
      • 11.3.1 EUROPE: AI DATA MANAGEMENT MARKET DRIVERS 198
      • 11.3.2 EUROPE: RECESSION IMPACT ANALYSIS 199
      • 11.3.3 UK 206
        • 11.3.3.1 Need for diverse and talented workforce, thriving ecosystem, and strategic initiatives taken by government to drive market 206
      • 11.3.4 GERMANY 207
        • 11.3.4.1 Rising focus on AI research and implementation and skilled labor force to propel market 207
      • 11.3.5 FRANCE 207
        • 11.3.5.1 Strategic focus on open-source AI initiatives to transform AI data management market 207
      • 11.3.6 SPAIN 208
        • 11.3.6.1 Spanish government’s active support and initiatives to accelerate growth of AI to boost demand for AI data management market 208
      • 11.3.7 ITALY 209
        • 11.3.7.1 Well-established technology industry and strategic government initiatives to fuel demand for AI data management solutions 209
      • 11.3.8 REST OF EUROPE 209
    • 11.4 ASIA PACIFIC 210
      • 11.4.1 ASIA PACIFIC: AI DATA MANAGEMENT MARKET DRIVERS 211
      • 11.4.2 ASIA PACIFIC: RECESSION IMPACT ANALYSIS 211
      • 11.4.3 CHINA 220
        • 11.4.3.1 Substantial investments in AI research and development and rising government initiatives for R&D to drive market 220
      • 11.4.4 JAPAN 221
        • 11.4.4.1 AI-driven healthcare industry and strategic government support to fuel demand for AI data management solutions 221
      • 11.4.5 INDIA 221
        • 11.4.5.1 Increasing investment in AI-driven R&D and establishment of National Program on AI to propel market 221
      • 11.4.6 SOUTH KOREA 222
        • 11.4.6.1 Robust ICT industry, high production of semiconductors, and AI patent dominance to accelerate market 222
      • 11.4.7 AUSTRALIA & NEW ZEALAND 223
        • 11.4.7.1 Increasing reliance on software solutions and rising awareness regarding strategic value of AI to propel market 223
      • 11.4.8 REST OF ASIA PACIFIC 223
    • 11.5 MIDDLE EAST & AFRICA 224
      • 11.5.1 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET DRIVERS 224
      • 11.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT ANALYSIS 225
      • 11.5.3 UAE 232
        • 11.5.3.1 Implementation of National Artificial Intelligence Strategy 2031 and investment in innovative technologies to propel market 232
      • 11.5.4 KSA 233
        • 11.5.4.1 Saudi Arabia’s Vision 2030 commitment to AI to fuel demand for AI data management solutions 233
      • 11.5.5 SOUTH AFRICA 233
        • 11.5.5.1 Growing ICT sector and adoption of AI technologies to fuel demand for diverse AI-driven solutions 233
      • 11.5.6 TURKEY 234
        • 11.5.6.1 Rapid growth of cloud and online services driving demand for high-speed data delivery to propel market 234
      • 11.5.7 REST OF MIDDLE EAST & AFRICA 234
    • 11.6 LATIN AMERICA 235
      • 11.6.1 LATIN AMERICA: AI DATA MANAGEMENT MARKET DRIVERS 236
      • 11.6.2 LATIN AMERICA: RECESSION IMPACT ANALYSIS 236
      • 11.6.3 BRAZIL 244
        • 11.6.3.1 Robust software development and implementation of stringent regulations to create favorable environment for AI data management to drive market 244
      • 11.6.4 MEXICO 245
        • 11.6.4.1 Burgeoning IT industry and adoption of comprehensive national AI strategy to drive market 245
      • 11.6.5 ARGENTINA 245
        • 11.6.5.1 Increasing tech-savvy population, significant broadband penetration rates, and rising development of new technologies to propel market 245
      • 11.6.6 REST OF LATIN AMERICA 246
  • 12 COMPETITIVE LANDSCAPE 247

    • 12.1 OVERVIEW 247
    • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 247
    • 12.3 REVENUE ANALYSIS 249
    • 12.4 MARKET SHARE ANALYSIS 249
    • 12.5 BRAND/PRODUCT COMPARATIVE ANALYSIS 251
    • 12.6 COMPANY EVALUATION MATRIX 251
      • 12.6.1 STARS 251
      • 12.6.2 EMERGING LEADERS 251
      • 12.6.3 PERVASIVE PLAYERS 252
      • 12.6.4 PARTICIPANTS 252
      • 12.6.5 COMPANY FOOTPRINT OF KEY PLAYERS 253
    • 12.7 START-UP/SME EVALUATION MATRIX, 2022 257
      • 12.7.1 PROGRESSIVE COMPANIES 257
      • 12.7.2 RESPONSIVE COMPANIES 257
      • 12.7.3 DYNAMIC COMPANIES 257
      • 12.7.4 STARTING BLOCKS 257
      • 12.7.5 COMPETITIVE BENCHMARKING 259
    • 12.8 COMPETITIVE SCENARIO AND TRENDS 260
      • 12.8.1 PRODUCT LAUNCHES 260
      • 12.8.2 DEALS 263
      • 12.8.3 OTHERS 266
    • 12.9 VALUATION AND FINANCIAL METRICS OF KEY VENDORS 267
    • 12.10 YTD PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS 267
  • 13 COMPANY PROFILES 268

    • 13.1 INTRODUCTION 268
    • 13.2 KEY PLAYERS 268
      • 13.2.1 MICROSOFT 268
      • 13.2.2 IBM 276
      • 13.2.3 AWS 284
      • 13.2.4 GOOGLE 292
      • 13.2.5 ORACLE 305
      • 13.2.6 SALESFORCE 312
      • 13.2.7 SAP 320
      • 13.2.8 SAS INSTITUTE 327
      • 13.2.9 HPE 334
      • 13.2.10 SNOWFLAKE 339
      • 13.2.11 TERADATA 345
      • 13.2.12 INFORMATICA 351
      • 13.2.13 DATABRICKS 361
      • 13.2.14 TIBCO SOFTWARE 371
      • 13.2.15 QLIK 376
      • 13.2.16 COLLIBRA 384
      • 13.2.17 DATAIKU 385
      • 13.2.18 ALTERYX 386
      • 13.2.19 DATAMATICS BUSINESS SOLUTIONS 387
      • 13.2.20 ACCENTURE 388
    • 13.3 START-UPS/SMES 389
      • 13.3.1 ATACCAMA CORPORATION 389
      • 13.3.2 RELTIO 390
      • 13.3.3 TAMR 391
      • 13.3.4 THOUGHTSPOT 392
      • 13.3.5 ATSCALE 393
      • 13.3.6 ALATION 394
      • 13.3.7 CLARIFAI 395
      • 13.3.8 DDN STORAGE 396
      • 13.3.9 DATALOOP AI 397
      • 13.3.10 ASTERA SOFTWARE 398
  • 14 ADJACENT AND RELATED MARKETS 399

    • 14.1 INTRODUCTION 399
    • 14.2 MASTER DATA MANAGEMENT MARKET 399
      • 14.2.1 MARKET DEFINITION 399
      • 14.2.2 MARKET OVERVIEW 399
        • 14.2.2.1 Master data management market, by component 400
        • 14.2.2.2 Master data management market, by deployment type 401
        • 14.2.2.3 Master data management market, by organization size 402
        • 14.2.2.4 Master data management market, by vertical 402
        • 14.2.2.5 Master data management market, by region 403
    • 14.3 METADATA MANAGEMENT TOOLS MARKET 404
      • 14.3.1 MARKET DEFINITION 404
      • 14.3.2 MARKET OVERVIEW 404
        • 14.3.2.1 Metadata management tools market, by application 406
        • 14.3.2.2 Metadata management tools market, by business function 407
        • 14.3.2.3 Metadata management tools market, by organization size 408
        • 14.3.2.4 Metadata management tools market, by vertical 409
        • 14.3.2.5 Metadata management tools market, by component 410
        • 14.3.2.6 Metadata management tools market, by metadata type 411
        • 14.3.2.7 Metadata management tools market, by deployment mode 412
        • 14.3.2.8 Metadata management tools market, by region 412
  • 15 APPENDIX 414

    • 15.1 DISCUSSION GUIDE 414
    • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 420
    • 15.3 CUSTOMIZATION OPTIONS 422
    • 15.4 RELATED REPORTS 422
    • 15.5 AUTHOR DETAILS 423

TABLE 1 AI DATA MANAGEMENT MARKET: PRIMARY INTERVIEWS TABLE 2 FACTOR ANALYSIS TABLE 3 IMPACT OF RECESSION ON GLOBAL AI DATA MANAGEMENT MARKET TABLE 4 AI DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2017-2022 (USD MILLION, Y-O-Y) TABLE 5 AI DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2023-2028 (USD MILLION, Y-O-Y) TABLE 6 AI DATA MANAGEMENT MARKET: ECOSYSTEM TABLE 7 TARIFF RELATED TO AI DATA MANAGEMENT SOFTWARE AS A SERVICE SOLUTIONS TABLE 8 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 9 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 10 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 11 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 12 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 13 PATENTS FILED, 2013-2023 TABLE 14 TOP 20 PATENT OWNERS IN AI DATA MANAGEMENT MARKET, 2013-2023 TABLE 15 LIST OF PATENTS GRANTED IN AI DATA MANAGEMENT MARKET, 2023 TABLE 16 INDICATIVE PRICING LEVELS OF AI DATA MANAGEMENT SOLUTIONS, BY OFFERING TABLE 17 IMPACT OF PORTER’S FIVE FORCES ON AI DATA MANAGEMENT MARKET TABLE 18 AI DATA MANAGEMENT MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2023-2025 TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS TABLE 20 KEY BUYING CRITERIA FOR TOP THREE VERTICALS TABLE 21 SHORT-TERM ROADMAP, 2023-2025 TABLE 22 MID-TERM ROADMAP, 2026-2028 TABLE 23 LONG-TERM ROADMAP, 2029-2030 TABLE 24 AI DATA MANAGEMENT MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 25 AI DATA MANAGEMENT MARKET, BY OFFERING, 2023-2028 (USD MILLION) TABLE 26 AI DATA MANAGEMENT MARKET, BY PLATFORM, 2017-2022 (USD MILLION) TABLE 27 AI DATA MANAGEMENT MARKET, BY PLATFORM, 2023-2028 (USD MILLION) TABLE 28 PLATFORM: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 29 PLATFORM: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 30 AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2017-2022 (USD MILLION) TABLE 31 AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2023-2028 (USD MILLION) TABLE 32 SOFTWARE TOOLS: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 33 SOFTWARE TOOLS: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 34 AI DATA MANAGEMENT MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 35 AI DATA MANAGEMENT MARKET, BY SERVICE, 2023-2028 (USD MILLION) TABLE 36 AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION) TABLE 37 AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION) TABLE 38 CLOUD: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 39 CLOUD: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 40 ON-PREMISES: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 41 ON-PREMISES: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 42 AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2017-2022 (USD MILLION) TABLE 43 AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2023-2028 (USD MILLION) TABLE 44 AUDIO DATA: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 45 AUDIO DATA: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 46 SPEECH & VOICE DATA: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 47 SPEECH & VOICE DATA: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 48 IMAGE DATA: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 49 IMAGE DATA: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 50 TEXT DATA: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 51 TEXT DATA: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 52 VIDEO DATA: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 53 VIDEO DATA: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 54 AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 55 AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 56 MACHINE LEARNING: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 57 MACHINE LEARNING: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 58 NATURAL LANGUAGE PROCESSING: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 59 NATURAL LANGUAGE PROCESSING: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 60 COMPUTER VISION: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 61 COMPUTER VISION: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 62 CONTEXT AWARENESS: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 63 CONTEXT AWARENESS: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 64 AI DATA MANAGEMENT MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 65 AI DATA MANAGEMENT MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 66 PROCESS AUTOMATION: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 67 PROCESS AUTOMATION: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 68 DATA VALIDATION & NOISE REDUCTION: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 69 DATA VALIDATION & NOISE REDUCTION: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 70 DATA AUGMENTATION: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 71 DATA AUGMENTATION: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 72 EXPLORATORY DATA ANALYSIS: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 73 EXPLORATORY DATA ANALYSIS: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 74 IMPUTATION & PREDICTIVE MODELING: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 75 IMPUTATION & PREDICTIVE MODELING: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 76 DATA ANONYMIZATION & COMPRESSION: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 77 DATA ANONYMIZATION & COMPRESSION: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 78 OTHER APPLICATIONS: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 79 OTHER APPLICATIONS: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 80 AI DATA MANAGEMENT MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 81 AI DATA MANAGEMENT MARKET, BY VERTICAL, 2023-2028 (USD MILLION) TABLE 82 BFSI: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 83 BFSI: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 84 RETAIL & ECOMMERCE: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 85 RETAIL & ECOMMERCE: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 86 TELECOMMUNICATIONS: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 87 TELECOMMUNICATIONS: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 88 HEALTHCARE & LIFE SCIENCES: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 89 HEALTHCARE & LIFE SCIENCES: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 90 MANUFACTURING: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 91 MANUFACTURING: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 92 IT & ITES: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 93 IT & ITES: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 94 GOVERNMENT & DEFENSE: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 95 GOVERNMENT & DEFENSE: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 96 MEDIA & ENTERTAINMENT: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 97 MEDIA & ENTERTAINMENT: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 98 ENERGY & UTILITIES: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 99 ENERGY & UTILITIES: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 100 OTHER VERTICALS: AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 101 OTHER VERTICALS: AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 102 AI DATA MANAGEMENT MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 103 AI DATA MANAGEMENT MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 104 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2017-2022 (USD MILLION) TABLE 105 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2023-2028 (USD MILLION) TABLE 106 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 107 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY OFFERING, 2023-2028 (USD MILLION) TABLE 108 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY PLATFORM, 2017-2022 (USD MILLION) TABLE 109 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY PLATFORM, 2023-2028 (USD MILLION) TABLE 110 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2017-2022 (USD MILLION) TABLE 111 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2023-2028 (USD MILLION) TABLE 112 NORTH AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION) TABLE 113 NORTH AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION) TABLE 114 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 115 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY SERVICE, 2023-2028 (USD MILLION) TABLE 116 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2017-2022 (USD MILLION) TABLE 117 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2023-2028 (USD MILLION) TABLE 118 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 119 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 120 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 121 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 122 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 123 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2023-2028 (USD MILLION) TABLE 124 EUROPE: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2017-2022 (USD MILLION) TABLE 125 EUROPE: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2023-2028 (USD MILLION) TABLE 126 EUROPE: AI DATA MANAGEMENT MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 127 EUROPE: AI DATA MANAGEMENT MARKET, BY OFFERING, 2023-2028 (USD MILLION) TABLE 128 EUROPE: AI DATA MANAGEMENT MARKET, BY PLATFORM, 2017-2022 (USD MILLION) TABLE 129 EUROPE: AI DATA MANAGEMENT MARKET, BY PLATFORM, 2023-2028 (USD MILLION) TABLE 130 EUROPE: AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2017-2022 (USD MILLION) TABLE 131 EUROPE: AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2023-2028 (USD MILLION) TABLE 132 EUROPE: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION) TABLE 133 EUROPE: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION) TABLE 134 EUROPE: AI DATA MANAGEMENT MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 135 EUROPE: AI DATA MANAGEMENT MARKET, BY SERVICE, 2023-2028 (USD MILLION) TABLE 136 EUROPE: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2017-2022 (USD MILLION) TABLE 137 EUROPE: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2023-2028 (USD MILLION) TABLE 138 EUROPE: AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 139 EUROPE: AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 140 EUROPE: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 141 EUROPE: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 142 EUROPE: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 143 EUROPE: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2023-2028 (USD MILLION) TABLE 144 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY COUNTRY/REGION, 2017-2022 (USD MILLION) TABLE 145 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY COUNTRY/REGION, 2023-2028 (USD MILLION) TABLE 146 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 147 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY OFFERING, 2023-2028 (USD MILLION) TABLE 148 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY PLATFORM, 2017-2022 (USD MILLION) TABLE 149 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY PLATFORM, 2023-2028 (USD MILLION) TABLE 150 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2017-2022 (USD MILLION) TABLE 151 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2023-2028 (USD MILLION) TABLE 152 ASIA PACIFIC: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION) TABLE 153 ASIA PACIFIC: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION) TABLE 154 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 155 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY SERVICE, 2023-2028 (USD MILLION) TABLE 156 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2017-2022 (USD MILLION) TABLE 157 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2023-2028 (USD MILLION) TABLE 158 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 159 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 160 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 161 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 162 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 163 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2023-2028 (USD MILLION) TABLE 164 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2017-2022 (USD MILLION) TABLE 165 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2023-2028 (USD MILLION) TABLE 166 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 167 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY OFFERING, 2023-2028 (USD MILLION) TABLE 168 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY PLATFORM, 2017-2022 (USD MILLION) TABLE 169 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY PLATFORM, 2023-2028 (USD MILLION) TABLE 170 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2017-2022 (USD MILLION) TABLE 171 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2023-2028 (USD MILLION) TABLE 172 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION) TABLE 173 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION) TABLE 174 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 175 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY SERVICE, 2023-2028 (USD MILLION) TABLE 176 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2017-2022 (USD MILLION) TABLE 177 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2023-2028 (USD MILLION) TABLE 178 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 179 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 180 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 181 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 182 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 183 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2023-2028 (USD MILLION) TABLE 184 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2017-2022 (USD MILLION) TABLE 185 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2023-2028 (USD MILLION) TABLE 186 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 187 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY OFFERING, 2023-2028 (USD MILLION) TABLE 188 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY PLATFORM, 2017-2022 (USD MILLION) TABLE 189 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY PLATFORM, 2023-2028 (USD MILLION) TABLE 190 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2017-2022 (USD MILLION) TABLE 191 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY SOFTWARE TOOL, 2023-2028 (USD MILLION) TABLE 192 LATIN AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION) TABLE 193 LATIN AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION) TABLE 194 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 195 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY SERVICE, 2023-2028 (USD MILLION) TABLE 196 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2017-2022 (USD MILLION) TABLE 197 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2023-2028 (USD MILLION) TABLE 198 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 199 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 200 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 201 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 202 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 203 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2023-2028 (USD MILLION) TABLE 204 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2017-2022 (USD MILLION) TABLE 205 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2023-2028 (USD MILLION) TABLE 206 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI DATA MANAGEMENT VENDORS TABLE 207 AI DATA MANAGEMENT MARKET: DEGREE OF COMPETITION TABLE 208 PRODUCT FOOTPRINT (20 COMPANIES) TABLE 209 VERTICAL FOOTPRINT (20 COMPANIES) TABLE 210 REGION FOOTPRINT (20 COMPANIES) TABLE 211 OVERALL COMPANY FOOTPRINT (20 COMPANIES) TABLE 212 AI DATA MANAGEMENT MARKET: DETAILED LIST OF KEY START-UPS/SMES TABLE 213 AI DATA MANAGEMENT MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES TABLE 214 AI DATA MANAGEMENT MARKET: PRODUCT LAUNCHES, MAY 2021-DECEMBER 2023 TABLE 215 AI DATA MANAGEMENT MARKET: DEALS, FEBRUARY 2021-NOVEMBER 2023 TABLE 216 AI DATA MANAGEMENT MARKET: OTHERS, JULY 2021-NOVEMBER 2023 TABLE 218 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 219 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 220 MICROSOFT: DEALS TABLE 222 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 223 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 224 IBM: DEALS TABLE 225 IBM: OTHERS TABLE 226 AWS: COMPANY OVERVIEW TABLE 230 AWS: OTHERS TABLE 237 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 239 ORACLE: DEALS TABLE 240 SALESFORCE: COMPANY OVERVIEW TABLE 241 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 242 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 243 SALESFORCE: DEALS TABLE 244 SAP: COMPANY OVERVIEW TABLE 245 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 246 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 247 SAP: DEALS TABLE 248 SAP: OTHERS TABLE 253 HPE: COMPANY OVERVIEW TABLE 254 HPE: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 255 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 256 HPE: DEALS TABLE 257 SNOWFLAKE: COMPANY OVERVIEW TABLE 258 SNOWFLAKE: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 259 SNOWFLAKE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 260 SNOWFLAKE: DEALS TABLE 261 SNOWFLAKE: OTHERS TABLE 262 TERADATA: COMPANY OVERVIEW TABLE 263 TERADATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 264 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 265 TERADATA: DEALS TABLE 266 TERADATA: OTHERS TABLE 267 INFORMATICA: COMPANY OVERVIEW TABLE 268 INFORMATICA: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 269 INFORMATICA: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 270 INFORMATICA: DEALS TABLE 271 INFORMATICA: OTHERS TABLE 285 QLIK: OTHERS TABLE 286 MASTER DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2016-2021 (USD MILLION, Y-O-Y %) TABLE 287 MASTER DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2022-2027 (USD MILLION, Y-O-Y %) TABLE 288 MASTER DATA MANAGEMENT MARKET, BY COMPONENT, 2016-2021 (USD MILLION) TABLE 289 MASTER DATA MANAGEMENT MARKET, BY COMPONENT, 2022-2027 (USD MILLION) TABLE 290 MASTER DATA MANAGEMENT MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION) TABLE 291 MASTER DATA MANAGEMENT MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION) TABLE 292 MASTER DATA MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION) TABLE 293 MASTER DATA MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION) TABLE 294 MASTER DATA MANAGEMENT MARKET, BY VERTICAL, 2016-2021 (USD MILLION) TABLE 295 MASTER DATA MANAGEMENT MARKET, BY VERTICAL, 2022-2027 (USD MILLION) TABLE 296 MASTER DATA MANAGEMENT MARKET, BY REGION, 2016-2021 (USD MILLION) TABLE 297 MASTER DATA MANAGEMENT MARKET, BY REGION, 2022-2027 (USD MILLION) TABLE 298 GLOBAL METADATA MANAGEMENT TOOLS MARKET SIZE AND GROWTH RATE, 2015-2020 (USD MILLION, Y-O-Y%) TABLE 299 GLOBAL METADATA MANAGEMENT TOOLS MARKET SIZE AND GROWTH RATE, 2021-2026 (USD MILLION, Y-O-Y%) TABLE 300 METADATA MANAGEMENT TOOLS MARKET, BY APPLICATION, 2015-2020 (USD MILLION) TABLE 301 METADATA MANAGEMENT TOOLS MARKET, BY APPLICATION, 2021-2026 (USD MILLION) TABLE 302 METADATA MANAGEMENT TOOLS MARKET, BY BUSINESS FUNCTION, 2015-2020 (USD MILLION) TABLE 303 METADATA MANAGEMENT TOOLS MARKET, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION) TABLE 304 METADATA MANAGEMENT TOOLS MARKET, BY ORGANIZATION SIZE, 2015-2020 (USD MILLION) TABLE 305 METADATA MANAGEMENT TOOLS MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION) TABLE 306 METADATA MANAGEMENT TOOLS MARKET, BY VERTICAL, 2015-2020 (USD MILLION) TABLE 307 METADATA MANAGEMENT TOOLS MARKET, BY VERTICAL, 2021-2026 (USD MILLION) TABLE 308 METADATA MANAGEMENT TOOLS MARKET, BY COMPONENT, 2015-2020 (USD MILLION) TABLE 309 METADATA MANAGEMENT TOOLS MARKET, BY COMPONENT, 2021-2026 (USD MILLION) TABLE 310 METADATA MANAGEMENT TOOLS MARKET, BY METADATA TYPE, 2015-2020 (USD MILLION) TABLE 311 METADATA MANAGEMENT TOOLS MARKET, BY METADATA TYPE, 2021-2026 (USD MILLION) TABLE 312 METADATA MANAGEMENT TOOLS MARKET, BY DEPLOYMENT MODE, 2015-2020 (USD MILLION) TABLE 313 METADATA MANAGEMENT TOOLS MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION) TABLE 314 METADATA MANAGEMENT MARKET, BY REGION, 2015-2020 (USD MILLION) TABLE 315 METADATA MANAGEMENT MARKET, BY REGION, 2021-2026 (USD MILLION)

FIGURE 1 AI DATA MANAGEMENT MARKET: RESEARCH DESIGN FIGURE 2 AI DATA MANAGEMENT MARKET: DATA TRIANGULATION FIGURE 3 AI DATA MANAGEMENT MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE FROM AI DATA MANAGEMENT/SERVICES FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL AI DATA MANAGEMENT/SERVICE COMPANIES FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY SIDE): REVENUES OF TOP PLAYERS AND SOURCES OF DATA FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND SIDE): SHARE OF OVERALL AI DATA MANAGEMENT SPENDING FIGURE 8 PLATFORM SEGMENT TO HOLD LARGEST MARKET DURING FORECAST PERIOD FIGURE 9 DATA WAREHOUSING SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 10 CLOUD DEPLOYMENT MODE TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD FIGURE 11 DATA INTEGRATION & ETL SOFTWARE TOOLS SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 12 CONSULTING SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 13 IMAGE DATA SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 14 MACHINE LEARNING TECHNOLOGY SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 15 PROCESS AUTOMATION SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 16 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD FIGURE 17 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 18 EXPONENTIAL GROWTH OF DIVERSE AND VOLUMINOUS DATASETS TO FUEL ACCURATE MODEL TRAINING AND ENHANCE ALGORITHMIC PERFORMANCE FIGURE 19 PROCESS AUTOMATION SEGMENT TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD FIGURE 20 PLATFORM SEGMENT AND BFSI VERTICAL TO ACCOUNT FOR LARGEST SHARES IN 2023 FIGURE 21 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE IN 2023 FIGURE 22 AI DATA MANAGEMENT MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES FIGURE 23 ARCHITECTURE OF AI DATA MANAGEMENT SOLUTIONS FIGURE 24 EVOLUTION OF AI DATA MANAGEMENT SOLUTIONS FIGURE 25 AI DATA MANAGEMENT MARKET: SUPPLY CHAIN ANALYSIS FIGURE 26 KEY PLAYERS IN AI DATA MANAGEMENT MARKET ECOSYSTEM FIGURE 27 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2013-2023 FIGURE 28 TOP APPLICANTS IN AI DATA MANAGEMENT MARKET, 2013-2023 FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013-2023 FIGURE 30 COMPUTER SOFTWARE IMPORTS, BY KEY COUNTRY, 2015-2022 (USD BILLION) FIGURE 31 COMPUTER SOFTWARE EXPORTS, BY KEY COUNTRY, 2015-2022 (USD BILLION) FIGURE 32 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, TOP 3 SOFTWARE TOOLS FIGURE 33 AI DATA MANAGEMENT MARKET: PORTER’S FIVE FORCES ANALYSIS FIGURE 34 REVENUE SHIFT FOR AI DATA MANAGEMENT MARKET FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE VERTICALS FIGURE 37 SERVICES SEGMENT TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD FIGURE 38 DATA WAREHOUSING SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 39 DATA INTEGRATION & ETL SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 40 CONSULTING SERVICES SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 41 CLOUD DEPLOYMENT MODE TO WITNESS HIGHER CAGR DURING FORECAST PERIOD FIGURE 42 TEXT DATA SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 43 MACHINE LEARNING TECHNOLOGY SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 44 IMPUTATION PREDICTIVE MODELING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 45 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 46 SOUTH AFRICA TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD FIGURE 47 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD FIGURE 48 NORTH AMERICA: MARKET SNAPSHOT FIGURE 49 ASIA PACIFIC: MARKET SNAPSHOT FIGURE 50 TOP 5 PLAYERS TO DOMINATE MARKET IN LAST 5 YEARS FIGURE 51 MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2022 FIGURE 52 AI DATA MANAGEMENT MARKET: BRAND/PRODUCT COMPARATIVE ANALYSIS FIGURE 53 AI DATA MANAGEMENT MARKET: COMPANY EVALUATION MATRIX, 2022 FIGURE 54 AI DATA MANAGEMENT MARKET: START-UP/SME EVALUATION MATRIX, 2022 FIGURE 55 VALUATION AND FINANCIAL METRICS OF KEY VENDORS FIGURE 56 YTD PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS FIGURE 57 MICROSOFT: COMPANY SNAPSHOT FIGURE 59 AWS: COMPANY SNAPSHOT FIGURE 60 GOOGLE: COMPANY SNAPSHOT FIGURE 62 SALESFORCE: COMPANY SNAPSHOT FIGURE 63 SAP: COMPANY SNAPSHOT FIGURE 64 HPE: COMPANY SNAPSHOT FIGURE 65 SNOWFLAKE: COMPANY SNAPSHOT FIGURE 66 TERADATA: COMPANY SNAPSHOT FIGURE 67 INFORMATICA: COMPANY SNAPSHOT

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