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商品コード MM09140074894W
出版日 2024/3/20
MarketsandMarkets
英文432 ページグローバル

大規模言語モデル（LLM）市場 - オファリング別、モダリティ別、用途別、エンドユーザー別、地域別：世界市場規模・市場予測レポート（〜2030年）

Large Language Model (LLM) Market by Offering (Software (Domain-specific LLMs, General-purpose LLMs), Services), Modality (Code, Video, Text, Image), Application (Information Retrieval, Code Generation), End User and Region - Global Forecast to 2030


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商品コード MM09140074894W◆2025年3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 2024/3/20
MarketsandMarkets
英文 432 ページグローバル

大規模言語モデル（LLM）市場 - オファリング別、モダリティ別、用途別、エンドユーザー別、地域別：世界市場規模・市場予測レポート（〜2030年）

Large Language Model (LLM) Market by Offering (Software (Domain-specific LLMs, General-purpose LLMs), Services), Modality (Code, Video, Text, Image), Application (Information Retrieval, Code Generation), End User and Region - Global Forecast to 2030


全体要約

大規模言語モデル（LLM）市場は、2024年の64億XX米ドルから2030年には361億XX米ドルに成長すると予測され、年平均成長率（CAGR）は33.2%に達する見込みです。市場の成長は、広範なデータセットの利用可能性の向上、深層学習アルゴリズムの進展、ヒューマン・マシンインタラクションの改善ニーズによって推進されます。特に、1000億から2000億パラメータのモデルは、高速成長が期待されています。これにはLaMDA 2、GPT-3、BLOOMZなどが含まれ、テキストベースのアプリケーションが広く利用されています。

地域別では、アジア太平洋地域が最も早く成長する見込みで、北米が最大の市場シェアを占めるとされています。アジア太平洋地域はデジタルトランスフォーメーションが進行中で、北米は研究開発への資金が豊富です。主要企業には、Google、OpenAI、Microsoft、NVIDIA、Tencentなどがあり、これらの企業はLLMに関連する技術とサービスを提供しています。

関連する質問

64億USD（2024年）

33.2%（2024年から2030年）

Google, OpenAI, Anthropic, Meta, Microsoft, NVIDIA, AWS, IBM, Oracle, HPE, Tencent, Yandex, Naver, AI21 Labs, Hugging Face, Baidu, SenseTime, Huawei, FedML, DynamoFL, Together AI, Upstage, Mistral AI, Adept, Neuralfinity, Mosaic ML, Stability AI, LightOn, Cohere, Turing, Lightning AI, WhyLabs

データセットの入手可能性の向上, 深層学習アルゴリズムの進化, ヒューマン・マシン間のコミュニケーション改善の必要性

概要

大規模言語モデル（LLM）市場は、2024年に64億米ドルから2030年までに361億米ドルに成長することが予測されており、予測期間中の年平均成長率（CAGR）は33.2%です。大規模言語モデル市場の成長は、主に広範なデータセットへのアクセスの増加、深層学習アルゴリズムの進展、および人間と機械の対話の向上の必要性によって推進されています。
モデルサイズ別では、1000億から2000億パラメータセグメントが予測期間中に最も早い市場成長率を記録する見込みです。
このパラメータ範囲内のモデルは、複雑さと実用性のバランスを取り、実質的な能力を提供しつつ計算的に実現可能な状態を保っています。LaMDA 2、GPT-3、BLOOMZ、Jurassic-2、Falcon 180Bなどの言語モデルは、この傾向を示しており、このサイズのモデルが印象的な言語理解と生成能力を提供する可能性を示しています。さらに、特化型アクセラレーターや分散コンピューティングシステムを含むハードウェアインフラの進歩は、これらのモデルのトレーニングと展開の効率性とスケーラビリティを向上させています。加えて、会話型AI、自然言語理解、コンテンツ生成などのアプリケーションの需要が高まる中で、さまざまな業界の多様な要件を満たすことができるこのサイズのモデルに対する関心が増しており、それが急速な採用と市場の拡大を促進しています。
「モダリティ別では、テキストセグメントが予測期間中に最大の市場シェアを占めると予想されています。」
テキストベースのアプリケーションは、カスタマーサービスのチャットボット、感情分析ツール、言語翻訳サービスなど、さまざまな業界で普及しています。LLM（大規模言語モデル）がテキストコンテンツの理解と生成において改善を続けるにつれて、こうしたアプリケーションの需要は急増することが期待されています。さらに、テキストデータは豊富で容易にアクセス可能であり、LLMの開発と展開の主要な焦点となっています。加えて、オンラインプラットフォームやソーシャルメディアの普及は、洞察や意思決定に活用できる膨大な量のテキストデータを生成しました。さらに、テキストベースのコミュニケーションは、人間の相互作用の最も一般的な形の一つであり、人間と機械の間でより自然で効果的なコミュニケーションを促進するためにLLMが必要とされています。
「地域別に見ると、アジア太平洋地域は最も速い成長率を示し、北米は予測期間中に最大の市場シェアを持つとされています。」
アジア太平洋地域は、金融、医療、製造などのさまざまな分野で急速なデジタルトランスフォーメーションを目撃しており、運用の効率化と生産性向上を図るために、高度な言語技術、特にLLMの需要を推進しています。北米の高度なインフラと研究開発への substantial funding は、LLM技術の成長にとって肥沃な土壌を提供します。さらに、金融、医療、Eコマースを含む地域の多様な産業は、データ分析、カスタマーサービス、テキスト生成などのタスクにおけるLLMの利点をますます認識しています。
プライマリの内訳
大規模言語モデル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）、副社長、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、及び幹部に対して詳細なインタビューが実施されました。
会社別：Tier I–35%、Tier II–45%、Tier III–20%
役職別：Cレベル役員 - 35%、Dレベル役員 - 30%、その他 - 35%
地域別：北米 – 40%、ヨーロッパ – 20%、アジア太平洋 – 25%、中東アフリカ – 9%、ラテンアメリカ – 6%
レポートには、大規模言語モデルのソフトウェアとサービスを提供する主要プレーヤーの調査が含まれています。大規模言語モデル市場の主要プレーヤーには、Google（米国）、OpenAI（米国）、Anthropic（米国）、Meta（米国）、Microsoft（米国）、NVIDIA（米国）、AWS（米国）、IBM（米国）、Oracle（米国）、HPE（米国）、Tencent（中国）、Yandex（ロシア）、Naver（韓国）、AI21 Labs（イスラエル）、Hugging Face（米国）、Baidu（中国）、SenseTime（香港）、Huawei（中国）、FedML（米国）、DynamoFL（米国）、Together AI（米国）、Upstage（韓国）、Mistral AI（フランス）、Adept（米国）、Neuralfinity（ドイツ）、Mosaic ML（米国）、Stability AI（英国）、LightOn（フランス）、Cohere（カナダ）、Turing（米国）、Lightning AI（米国）、WhyLabs（米国）が含まれています。
調査範囲
この調査報告書では、大規模言語モデル市場を次のように分類しています：提供（ソフトウェアとサービス）、ソフトウェアの種類（汎用LLM、特定領域LLM、多言語LLM、特定タスクLLM）、ソフトウェアのソースコード（オープンソースLLM、クローズドソースLLM）、ソフトウェアの展開モード（オンプレミス、クラウド）、サービス（コンサルティング、LLM開発、統合、LLMのファインチューニング（フルファインチューニング、リトリーバー拡張生成、アダプタベースのパラメータ効率チューニング）、LLM支援アプリ開発、プロンプトエンジニアリング、サポート、メンテナンス）、アーキテクチャ（自己回帰型言語モデル、オートエンコーディング型言語モデル、ハイブリッド型言語モデル）、モダリティ（テキスト、コード、画像、動画）、モデルサイズ（10億パラメータ未満、10億から100億パラメータ、100億から500億パラメータ、500億から1000億パラメータ、1000億から2000億パラメータ、2000億パラメータ以上）、アプリケーション（情報検索、言語翻訳とローカリゼーション、コンテンツ生成とキュレーション、コード生成、顧客サービスの自動化、データ分析とBI、その他のアプリケーション（ナレッジベース応答、意思決定支援、マルウェア分析））、最終利用者（IT/ITeS、ヘルスケアとライフサイエンス、法律事務所、BFSI、製造業、教育、小売、メディアとエンターテインメント、その他の最終利用者（政府および防衛、自動車、通信））、地域別（北米、ヨーロッパ、アジア太平洋、中東・アフリカ、ラテンアメリカ）。報告書の範囲は、大規模言語モデル市場の成長に影響を与える主要な要因（ドライバー、制約、課題、機会）に関する詳細情報を含んでいます。主要な業界プレーヤーに関する詳細な分析が行われており、彼らのビジネス概要、ソリューション、サービス、主要な戦略、契約、パートナーシップ、合意、新製品およびサービスの発売、合併および買収、最近の動向についての洞察が提供されています。また、大規模言語モデル市場のエコシステムにおける今後のスタートアップの競争分析もこの報告書で取り上げられています。
報告書購入の主な利点
このレポートは、市場のリーダーや新規参入者に、全体の大規模言語モデル市場とそのサブセグメントの収益数値の最も近い推定値に関する情報を提供します。これにより、ステークホルダーは競争環境を理解し、自社をよりよく位置付け、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動向を理解し、主要な市場の推進要因、制約、課題、機会に関する情報を提供します。
報告書は以下のポイントに関する洞察を提供しています：
• 主要な要因の分析（膨大なデータセットの入手可能性の向上、進化する深層学習アルゴリズム、人間と機械の間のコミュニケーション改善の必要性の高まり、自動コンテンツ作成とキュレーションに対する需要の増加）、制約（モデルのトレーニングおよび推論最適化の高コスト、データの偏りと品質に関する懸念、説明可能性と解釈可能性の透明性の欠如）、機会（LLMsを使用した言語翻訳とローカリゼーションの向上、LLMsを利用した感情認識とセンチメント分析、知識発見と管理におけるLLMsの切実な需要）、および課題（高い推論遅延、大きなメモリ要件による計算非効率、生モデルのパフォーマンスと整合性の維持）。
• 製品開発/イノベーション：大規模言語モデル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発表に関する詳細な洞察
• 市場の発展: 有望な市場に関する包括的な情報 - この報告書は、さまざまな地域にわたる大規模言語モデル市場を分析しています。
市場の多様化：新製品やサービス、未開拓の地理、最近の動向、大規模言語モデル市場への投資に関する詳細情報です。
• 競争評価：Google（アメリカ）、OpenAI（アメリカ）、Anthropic（アメリカ）、Meta（アメリカ）、Microsoft（アメリカ）、NVIDIA（アメリカ）、AWS（アメリカ）、IBM（アメリカ）、Oracle（アメリカ）、HPE（アメリカ）、Tencent（中国）、Yandex（ロシア）、Naver（韓国）、AI21 Labs（イスラエル）、Hugging Face（アメリカ）、Baidu（中国）、SenseTime（香港）、Huawei（中国）などの主要プレーヤーの市場シェア、成長戦略、サービス提供を深く評価しています。このレポートは、利害関係者が大規模言語モデル市場の動向を理解するのに役立ち、市場の主要なドライバー、制約、課題、機会に関する情報を提供します。

※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 56

    • 1.1 調査の目的 56
    • 1.2 市場の定義 56
      • 1.2.1 包含・除外事項 57
    • 1.3 市場範囲 58
      • 1.3.1 市場セグメンテーション 58
      • 1.3.2 対象地域 59
      • 1.3.3 対象年 59
    • 1.4 通貨 60
    • 1.5 ステークホルダー 60
      • 1.5.1 不況の影響 60

  • 2 調査手法 61

    • 2.1 リサーチデータ 61
      • 2.1.1 二次データ 62
      • 2.1.2 一次データ 62
        • 2.1.2.1 主なプロファイル内訳 63
        • 2.1.2.2 業界についての主な考察 63
    • 2.2 市場規模予測 64
      • 2.2.1 トップダウンアプローチ 64
      • 2.2.2 ボトムアップアプローチ 64
    • 2.3 データのトライアンギュレーション 68
    • 2.4 市場予測 68
    • 2.5 調査の前提 69
    • 2.6 調査の制約 71
    • 2.7 大型言語モデル市場への不況の影響 71

  • 3 エグゼクティブサマリー 73

  • 4 更なる考察 81

    • 4.1 大規模言語モデル市場における企業の魅力的な機会 81
    • 4.2 大規模言語モデル市場：アプリケーショントップ3 82
    • 4.3 北米：大規模言語モデル市場：オファリング・エンドユーザー別 82
    • 4.4 大規模言語モデル市場、地域別 83

  • 5 市場概要・業界トレンド 84

    • 5.1 イントロダクション 84
    • 5.2 市場ダイナミクス 84
      • 5.2.1 促進要因 85
        • 5.2.1.1 大規模データセットの増加 85
        • 5.2.1.2 ディープラーニング・アルゴリズムの進歩 85
        • 5.2.1.3 人間と機械のコミュニケーション強化の必要性 86
        • 5.2.1.4 自動化されたコンテンツ作成とキュレーションの需要の高まり 87
      • 5.2.2 抑制要因 88
        • 5.2.2.1 モデル学習と推論最適化のコストが高い 88
        • 5.2.2.2 データの偏りと品質に関する懸念 89
        • 5.2.2.3 説明可能性と解釈可能性における透明性の欠如 89
      • 5.2.3 市場機会 90
        • 5.2.3.1 LLMを活用した言語翻訳とローカリゼーションの強化 90
        • 5.2.3.2 LLMを用いた感情認識と感情分析 90
        • 5.2.3.3 知識発見と管理におけるLLMの需要が急増している 91
      • 5.2.4 課題 91
        • 5.2.4.1 推論待ち時間が長い 91
        • 5.2.4.2 大量のメモリを必要とするため、計算効率が悪い 92
        • 5.2.4.3 モデルの性能と完全性の維持 92
    • 5.3 大規模言語モデル市場の進化 93
    • 5.4 大規模な言語モデルソフトウェアレイヤー 95
      • 5.4.1 埋め込みレイヤー 95
      • 5.4.2 フィードフォワード層 95
      • 5.4.3 リカレント層 96
      • 5.4.4 アテンション・レイヤー 96
    • 5.5 バリューチェーン分析 97
    • 5.6 エコシステム分析／マーケットマップ 99
      • 5.6.1 大規模言語モデル・ソフトウェア・プロバイダー 101
        • 5.6.1.1 Llm APIプロバイダー 102
        • 5.6.1.2 ベクター・データベース・プロバイダー 102
        • 5.6.1.3 LLMフレームワーク・プロバイダー 102
        • 5.6.1.4 音声合成プロバイダー 102
        • 5.6.1.5 LLM監視ツール・プロバイダー 102
      • 5.6.2 大規模言語モデル・サービス・プロバイダー 103
        • 5.6.2.1 コンピュート・プラットフォーム・プロバイダー 103
        • 5.6.2.2 Model Hubs 103
        • 5.6.2.3 Fine Tuning/Custom Model Training Frameworks 103
        • 5.6.2.4 モニタリング／監視プラットフォーム・プロバイダ 104
        • 5.6.2.5 ホスティング・サービス・プロバイダー 104
      • 5.6.3 エンドユーザー 104
      • 5.6.4 政府・規制機関 104
    • 5.7 投資環境と資金調達シナリオ 105
    • 5.8 ケーススタディ分析 109
      • 5.8.1 BFSI 109
      • 5.8.2 メディア・エンターテインメント 109
      • 5.8.3 ヘルスケア＆ライフサイエンス 110
        • 5.8.3.1 サマーヘルスはOpenAIで小児科医の診察を再構築 110
      • 5.8.4 IT・ITES 110
      • 5.8.5 法律事務所 111
    • 5.9 技術分析 111
      • 5.9.1 キーテクノロジー 111
        • 5.9.1.1 自然言語処理（NLP） 111
        • 5.9.1.2 ディープラーニング 112
        • 5.9.1.3 変圧器アーキテクチャ 112
        • 5.9.1.4 注意のメカニズム 112
        • 5.9.1.5 トランスファー・ラーニング 112
      • 5.9.2 アディショナルテクノロジー 113
        • 5.9.2.1 音声認識 113
        • 5.9.2.2 コンピュータービジョン 113
        • 5.9.2.3 強化学習 113
        • 5.9.2.4 ナレッジグラフ 114
      • 5.9.3 補完的テクノロジー 114
        • 5.9.3.1 量子コンピューティング 114
        • 5.9.3.2 説明可能なAI 114
        • 5.9.3.3 エッジコンピューティング 115
        • 5.9.3.4 ブロックチェーン 115
    • 5.10 規制の概観 115
      • 5.10.1 規制当局、政府機関、その他組織 115
      • 5.10.2 規制大型言語モデル市場 118
        • 5.10.2.1 北米 118
          • 5.10.2.1.1 カリフォルニア州消費者プライバシー法（CCPA） 118
          • 5.10.2.1.2 自動意思決定に関するカナダ指令 118
          • 5.10.2.1.3 AIおよび自動意思決定システム（AADS）条例（ニューヨーク市） 119
        • 5.10.2.2 ヨーロッパ 119
          • 5.10.2.2.1 一般データ保護規則（GDPR） 119
          • 5.10.2.2.2 欧州連合（EU）の人工知能法（AIA 119
          • 5.10.2.2.3 欧州委員会による信頼できるAIのための倫理ガイドライン 119
        • 5.10.2.3 アジア太平洋 119
          • 5.10.2.3.1 個人情報保護法（PIPL） - 中国 119
          • 5.10.2.3.2 人工知能倫理ガイドライン - 日本 119
          • 5.10.2.3.3 AI戦略とガバナンス・フレームワーク - オーストラリア 119
        • 5.10.2.4 中東・アフリカ 120
          • 5.10.2.4.1 UAE AI規制と倫理ガイドライン 120
          • 5.10.2.4.2 南アフリカの個人情報保護法（POPIA） 120
          • 5.10.2.4.3 エジプトのデータ保護法 120
        • 5.10.2.5 ラテンアメリカ 120
    • 5.11 特許分析 121
      • 5.11.1 調査手法 121
      • 5.11.2 特許出願（文書タイプ別 121
      • 5.11.3 イノベーション・特許 121
        • 5.11.3.1 大規模言語モデル市場におけるトップ特許所有者 122
    • 5.12 価格分析 126
      • 5.12.1 主要プレイヤーの平均販売価格トレンド、ソフトウェアタイプ別 128
      • 5.12.2 指標価格分析（オファリング別 129
    • 5.13 取引分析・貿易分析 131
      • 5.13.1 コンピューターソフトウェアの輸出シナリオ 131
      • 5.13.2 コンピューターソフトウェアの輸入シナリオ 132
    • 5.14 主要なカンファレンスイベント 133
    • 5.15 ポーターのファイブフォース分析 134
      • 5.15.1 新規参入の脅威 135
      • 5.15.2 代替品の脅威 135
      • 5.15.3 サプライヤーの交渉力 136
      • 5.15.4 買い手の交渉力 136
      • 5.15.5 競合・競争状況の激しさ 136
    • 5.16 技術ロードマップ 137
    • 5.17 ビジネスモデル 138
      • 5.17.1 ソフトウェア・ベンダー・モデル 139
      • 5.17.2 クラウドAPIアクセスモデル 139
      • 5.17.3 カスタム・トレーニング／微調整モデル 140
      • 5.17.4 マーケットプレイス／取引所 モデル 141
    • 5.18 顧客事業にインパクトのあるトレンド/ディスラプション 141
    • 5.19 主なステークホルダーと購入基準 142
      • 5.19.1 購買プロセスにおける主要ステークホルダー 142
      • 5.19.2 購買基準 143

  • 6 大規模言語モデル市場、オファリング別 144

    • 6.1 イントロダクション 145
      • 6.1.1 提供大規模言語モデル市場の促進要因 145
    • 6.2 ソフトウェア、タイプ別 147
      • 6.2.1 汎用LLM 148
      • 6.2.2 ドメイン固有Llms 150
        • 6.2.2.1 業種に特化したLLMの採用は、業種に特化したLLMに対する企業の緊急のニーズによって推進 150
        • 6.2.2.2 ゼロショット 151
        • 6.2.2.3 ワンショット 152
        • 6.2.2.4 フューショット 153
      • 6.2.3 多言語Llms 155
      • 6.2.4 タスク別LLM 156
    • 6.3 ソフトウェア、ソースコード別 157
      • 6.3.1 オープンソースLlms 159
      • 6.3.2 クローズドソースのLlms 160
    • 6.4 ソフトウェア、展開モード別 162
      • 6.4.1 クラウド 163
      • 6.4.2 オンプレミス 165
    • 6.5 サービス 166
      • 6.5.1 コンサルティング 168
      • 6.5.2 Llm開発 169
      • 6.5.3 統合 171
      • 6.5.4 Llmの微調整 172
      • 6.5.5 Llm支援アプリ開発 177
      • 6.5.6 プロンプトエンジニアリング 179
      • 6.5.7 サポート・メンテナンス 180

  • 7 大規模言語モデル市場、アーキテクチャ別 182

    • 7.1 イントロダクション 183
      • 7.1.1 アーキテクチャ大規模言語モデル市場の促進要因 183
    • 7.2 自己回帰言語モデル 185
    • 7.3 自動エンコーディング 言語モデル 187
    • 7.4 ハイブリッド言語モデル 189

  • 8 大規模言語モデル市場、モダリティ別 191

    • 8.1 イントロダクション 192
      • 8.1.1 モダリティ大規模言語モデル市場の促進要因 192
    • 8.2 テキスト 193
    • 8.3 コード 194
    • 8.4 イメージ 195
    • 8.5 動画 196

  • 9 大型言語モデル市場：モデルサイズ別 198

    • 9.1 イントロダクション 199
      • 9.1.1 モデルのサイズ大型言語モデル市場の促進要因 199
    • 9.2 10億以下 パラメータ 201
    • 9.3 10億～100億パラメータ 203
    • 9.4 100億～500億パラメータ 205
    • 9.5 500億～1000億パラメータ 207
    • 9.6 1000億～2000億パラメータ 209
    • 9.7 2000億～5000億パラメータ 211
    • 9.8 5000億パラメータ以上 212

  • 10 大規模言語モデル市場、用途別 215

    • 10.1 イントロダクション 216
      • 10.1.1 アプリケーション大規模言語モデル市場の促進要因 216
    • 10.2 情報検索 218
    • 10.3 言語翻訳とローカリゼーション 219
    • 10.4 コンテンツ生成とキュレーション 221
    • 10.5 コード生成 223
    • 10.6 カスタマーサービス・オートメーション 224
    • 10.7 データ分析とBI 227
    • 10.8 その他の用途 229

  • 11 大規模言語モデル市場、エンドユーザー別 231

    • 11.1 イントロダクション 232
      • 11.1.1 エンドユーザー：大規模言語モデル市場の促進要因 232
    • 11.2 IT・ITeS 234
    • 11.3 ヘルスケア＆ライフサイエンス 237
    • 11.4 法律事務所 241
    • 11.5 BFSI 244
    • 11.6 製造 247
    • 11.7 教育 251
    • 11.8 小売・eコマース 254
    • 11.9 メディア・エンターテインメント 258
    • 11.10 その他のエンドユーザー 261

  • 12 大規模言語モデル市場、地域別 264

    • 12.1 イントロダクション 265
    • 12.2 北米 267
      • 12.2.1 北米大規模言語モデル市場の促進要因 267
      • 12.2.2 北米：リセッション時のインパクト 268
      • 12.2.3 米国 277
        • 12.2.3.1 支持的な規制環境と強固な技術インフラ 277
      • 12.2.4 カナダ 278
    • 12.3 ヨーロッパ 279
      • 12.3.1 ヨーロッパ大規模言語モデル市場の促進要因 279
      • 12.3.2 ヨーロッパ：リセッション時のインパクト 280
      • 12.3.3 英国 288
      • 12.3.4 ドイツ 289
      • 12.3.5 フランス 290
      • 12.3.6 その他のヨーロッパ 291
    • 12.4 アジア太平洋 292
      • 12.4.1 アジア太平洋地域大規模言語モデル市場の促進要因 292
      • 12.4.2 アジア太平洋：リセッション時のインパクト 293
      • 12.4.3 中国 302
        • 12.4.3.1 中国におけるLLMの各業界への統合 302
      • 12.4.4 インド 303
        • 12.4.4.1 新興ハイテク産業と膨大なデジタル人口 303
      • 12.4.5 日本 304
        • 12.4.5.1 豊かな文化遺産と技術先進社会 304
      • 12.4.6 韓国 305
      • 12.4.7 その他のアジア太平洋 306
    • 12.5 中東・アフリカ 307
      • 12.5.1 中東・アフリカ大規模言語モデル市場の促進要因 307
      • 12.5.2 中東・アフリカ：リセッション時のインパクト 308
      • 12.5.3 GCC地域 316
      • 12.5.4 南アフリカ 317
      • 12.5.5 トルコ 318
      • 12.5.6 その他の中東・アフリカ 319
    • 12.6 ラテンアメリカ 320
      • 12.6.1 ラテンアメリカ大型言語モデル市場の促進要因 320
      • 12.6.2 ラテンアメリカ：リセッション時のインパクト 320
      • 12.6.3 ブラジル 328
      • 12.6.4 メキシコ 329
      • 12.6.5 その他のラテンアメリカ 330

  • 13 競合情勢 332

    • 13.1 概要 332
    • 13.2 主要プレイヤー戦略 332
    • 13.3 収益分析 334
    • 13.4 市場シェア分析 335
      • 13.4.1 市場ランキング分析 336
    • 13.5 PRODUCT COMPARATIVE ANALYSIS 339
      • 13.5.1 汎用Llm製品比較分析 339
        • 13.5.1.1 オープンAIによるGPT-4 339
        • 13.5.1.2 ラマ 2 by Meta 339
        • 13.5.1.3 クロード3 By 人間派 339
        • 13.5.1.4 アマゾン・タイタン・バイ・アマゾン 340
        • 13.5.1.5 ジェミニ by グーグル 340
      • 13.5.2 ドメイン別Llm製品比較分析 340
        • 13.5.2.1 グーグルによるMed-PaLM 340
        • 13.5.2.2 アマゾンのCodeWhisperer 341
        • 13.5.2.3 BloombergGPT by Bloomberg 341
        • 13.5.2.4 フィンGPT 341
        • 13.5.2.5 バイオBERTpt 341
      • 13.5.3 オープンソースLlm別製品比較分析 342
        • 13.5.3.1 インテルのニューラル・チャット7B 343
        • 13.5.3.2 技術革新研究所によるファルコン 343
        • 13.5.3.3 ブルーム・バイ・ビッグサイエンス 343
        • 13.5.3.4 セールスフォースのXgen 7B 4K Base 343
        • 13.5.3.5 Neox GPT by EleutherAI 343
        • 13.5.3.6 そろばんAIによるそろばんキリン 343
        • 13.5.3.7 バイチュアン13B by バイチュアンインテリジェンス 344
        • 13.5.3.8 オープンラマ by OpenLM 344
        • 13.5.3.9 ビキューナ-33B by Lmsys 344
        • 13.5.3.10 Databricks による Dolly 2.0 344
    • 13.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS 345
    • 13.7 企業評価マトリックス：主要企業 <num4>年 346
      • 13.7.1 STARS 346
      • 13.7.2 EMERGING LEADERS 346
      • 13.7.3 PERVASIVE PLAYERS 346
      • 13.7.4 PARTICIPANTS 346
      • 13.7.5 企業フットプリント：主要企業 <num4>年 348
        • 13.7.5.1 企業フットプリント 348
        • 13.7.5.2 Region Footprint 348
        • 13.7.5.3 Application Footprint 349
        • 13.7.5.4 End-user Footprint 350
        • 13.7.5.5 Modality Footprint 351
    • 13.8 企業評価マトリックス：スタートアップ/中小企業 <num4>年 351
      • 13.8.1 PROGRESSIVE COMPANIES 352
      • 13.8.2 RESPONSIVE COMPANIES 352
      • 13.8.3 DYNAMIC COMPANIES 352
      • 13.8.4 STARTING BLOCKS 352
      • 13.8.5 競合ベンチマーキング：スタートアップ/中小企業 <num4>年 353
        • 13.8.5.1 主要新興企業/中小企業の詳細リスト 353
        • 13.8.5.2 主要スタートアップ/SMEの競合ベンチマーキング 355
    • 13.9 COMPETITIVE SCENARIO AND TRENDS 355
      • 13.9.1 製品の発売と機能強化 355
      • 13.9.2 ディール 360

  • 14 企業プロファイル 366

    • 14.1 イントロダクション 366
    • 14.2 主要企業 366
      • 14.2.1 GOOGLE 366
      • 14.2.2 OPENAI 372
      • 14.2.3 MICROSOFT 377
      • 14.2.4 ANTHROPIC 381
      • 14.2.5 META 384
      • 14.2.6 NVIDIA 388
      • 14.2.7 IBM 393
      • 14.2.8 HPE 397
      • 14.2.9 ORACLE 400
      • 14.2.10 AWS 404
      • 14.2.11 TENCENT 408
      • 14.2.12 YANDEX 409
      • 14.2.13 NAVER 410
      • 14.2.14 AI21 LABS 411
      • 14.2.15 HUGGING FACE 412
      • 14.2.16 BAIDU 413
      • 14.2.17 SENSETIME 414
      • 14.2.18 HUAWEI 415
    • 14.3 スタートアップ/中小企業プロフィール 416
      • 14.3.1 FEDML 416
      • 14.3.2 DYNAMOFL 416
      • 14.3.3 TOGETHER AI 417
      • 14.3.4 UPSTAGE 417
      • 14.3.5 MISTRAL AI 418
      • 14.3.6 ADEPT 419
      • 14.3.7 NEURALFINITY 420
      • 14.3.8 MOSAIC ML 421
      • 14.3.9 STABILITY AI 422
      • 14.3.10 LIGHTON 423
      • 14.3.11 COHERE 424
      • 14.3.12 TURING 425
      • 14.3.13 LIGHTNING AI 426
      • 14.3.14 WHYLABS 427

  • 15 関連市場 428

    • 15.1 イントロダクション 428
    • 15.2 人工知能市場 - 2030年までの世界予測 428
      • 15.2.1 市場の定義 428
      • 15.2.2 市場概要 428
        • 15.2.2.1 人工知能(AI)の市場、オファリング別 429
        • 15.2.2.2 人工知能(AI)の市場、技術別 429
        • 15.2.2.3 人工知能(AI)の市場、ファンクション別 430
        • 15.2.2.4 人工知能(AI)の市場、バーティカル別 431
        • 15.2.2.5 人工知能(AI)の市場、地域別 432
    • 15.3 ジェネレーティブAI市場 - 2030年までの世界予測 433
      • 15.3.1 市場の定義 433
      • 15.3.2 市場概要 434
        • 15.3.2.1 生成AIの市場、オファリング別 434
        • 15.3.2.2 生成AIの市場、用途別 434
        • 15.3.2.3 生成AIの市場、地域別 436

  • 16 付録 438

    • 16.1 ディスカッションガイド 438
    • 16.2 ナレッジストア 445
    • 16.3 カスタマイズオプション 447
    • 16.4 関連レポート 447
    • 16.5 執筆者の詳細 448

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Description

The Large Language Model (LLM) market is projected to grow from USD 6.4 billion in 2024 to USD 36.1 billion by 2030, at a compound annual growth rate (CAGR) of 33.2% during the forecast period. The growth of the large language model market is primarily driven by increasing accessibility of extensive datasets, progressions in deep learning algorithms, and the necessity for improved human-machine interaction. “By model size, 100 billion to 200 billion parameter segment is expected to register the fastest market growth rate during the forecast period” Models within this parameter range strike a balance between complexity and practicality, offering substantial capabilities while remaining computationally feasible. Language models such as LaMDA 2, GPT-3, BLOOMZ, Jurassic-2, and Falcon 180B exemplify this trend, showcasing the potential of models within this size bracket to deliver impressive language understanding and generation capabilities. Additionally, advancements in hardware infrastructure, including specialized accelerators and distributed computing systems, are enhancing the efficiency and scalability of training and deploying such models. Furthermore, as demand grows for applications such as conversational AI, natural language understanding, and content generation, there is increasing interest in models of this size range that can meet diverse requirements across various industries, thereby driving their rapid adoption and market expansion. “By modality, text segment is expected to account for the largest market share during the forecast period” Text-based applications are ubiquitous across various industries, including customer service chatbots, sentiment analysis tools, and language translation services. As LLMs continue to improve in understanding and generating textual content, the demand for such applications is expected to surge. Moreover, text data is abundant and easily accessible, making it a primary focus for LLM development and deployment. Additionally, the proliferation of online platforms and social media has generated massive volumes of textual data that can be leveraged for insights and decision-making. Furthermore, text-based communication remains one of the most prevalent forms of human interaction, driving the need for LLMs to facilitate more natural and effective communication between humans and machines. “By Region, Asia Pacific is slated to grow at the fastest rate and North America to have the largest market share during the forecast period” The Asia Pacific region is witnessing a rapid digital transformation across various sectors, including finance, healthcare, and manufacturing, driving the demand for advanced language technologies like LLMs to streamline operations and enhance productivity. North America's advanced infrastructure and substantial funding for research and development provide a fertile ground for the growth of LLM technologies. Additionally, the region's diverse industries, including finance, healthcare, and e-commerce, are increasingly recognizing the benefits of LLMs for tasks such as data analysis, customer service, and text generation. Breakdown of primaries In-depth interviews were conducted with Chief Executive Officers (CEOs), vice presidents, innovation and technology directors, system integrators, and executives from various key organizations operating in the large language model market.  By Company: Tier I–35%, Tier II–45%, and Tier III–20%  By Designation: C-Level Executives–35%%, D-Level Executives–30%, and others–35%  By Region: North America– 40%, Europe –20%, Asia Pacific– 25% and Middle East Africa- 9%, Latin America-6% The report includes the study of key players offering large language model software and services. The major players in the large language model market include Google (US), OpenAI (US), Anthropic (US), Meta (US), Microsoft (US), NVIDIA (US), AWS (US), IBM (US), Oracle (US), HPE (US), Tencent (China), Yandex (Russia), Naver (South Korea), AI21 Labs (Israel), Hugging Face (US), Baidu (China), SenseTime (Hong Kong), Huawei (China), FedML (US), DynamoFL (US), Together AI (US), Upstage (South Korea), Mistral AI (France), Adept (US), Neuralfinity (Germany), Mosaic ML (US), Stability AI (UK), LightOn (France), Cohere (Canada), Turing (US), Lightning AI (US), and WhyLabs (US). Research coverage This research report categorizes the large language model market by Offering (Software and Services), Software By Type (General-purpose LLMs, Domain-specific LLMs, Multilingual LLMs, Task-specific LLMs), Software By Source Code (Open-source LLMs, Closed-source LLMs), Software By Deployment Mode (On-premises, Cloud), Services (Consulting, LLM Development, Integration, LLM fine-tuning (Full Fine-tuning, Retrieval-augmented Generation, Adapter-Based Parameter Efficient Tuning), LLM-backed App Development, Prompt Engineering, Support, Maintenance), by Architecture (Autoregressive Language Models, Autoencoding Language Models, Hybrid Language Models), by Modality (Text, Code, Image, Video), by Model Size (Below 1 Billion Parameters, 1 Billion To 10 Billion Parameters, 10 Billion To 50 Billion Parameters, 50 Billion To 100 Billion Parameters, 100 Billion To 200 Billion Parameters, 200 Billion To 500 Billion Parameters, Above 500 Billion Parameters), by Application (Information Retrieval, Language Translation and Localization, Content Generation and Curation, Code Generation, Customer Service Automation, Data Analysis and BI, Other Applications (Knowledge Base Answering, Decision-Making Support, Malware Analysis)), by End-user (IT/ITeS, Healthcare and Life Sciences, Law Firms, BFSI, Manufacturing, Education, Retail, Media and Entertainment, Other End-users (Government & Defense, Automotive, Telecommunications), and by Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the large language model market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the large language model market. Competitive analysis of upcoming startups in the large language model market ecosystem is covered in this report. 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 large language model 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 (the availability of extensive datasets is on the rise, ever evolving deep learning algorithms, growing necessity for improved communication between humans and machines, rising demand for automated content creation and curation), restraints (high cost of model training & inference optimization, data biasness and quality concerns, lack of transparency in explainability and interpretability), opportunities (enhanced language translation and localization with the use of LLMs, emotion recognition and sentiment analysis using LLMs, pressing demand for LLMs in knowledge discovery and management), and challenges (high inference latency, computational inefficiency due to large memory requirements, maintaining model performance and integrity). • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the large language model market • Market Development: Comprehensive information about lucrative markets – the report analyses the large language model market across varied regions • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the large language model market • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Google (US), OpenAI (US), Anthropic (US), Meta (US), Microsoft (US), NVIDIA (US), AWS (US), IBM (US), Oracle (US), HPE (US), Tencent (China), Yandex (Russia), Naver (South Korea), AI21 Labs (Israel), Hugging Face (US), Baidu (China), SenseTime (Hong Kong), Huawei (China), among others in the large language model market. The report also helps stakeholders understand the pulse of the large language model market and provides them with information on key market drivers, restraints, challenges, and opportunities.

Table of Contents

  • 1 INTRODUCTION 56

    • 1.1 STUDY OBJECTIVES 56
    • 1.2 MARKET DEFINITION 56
      • 1.2.1 INCLUSIONS AND EXCLUSIONS 57
    • 1.3 MARKET SCOPE 58
      • 1.3.1 MARKET SEGMENTATION 58
      • 1.3.2 REGIONS COVERED 59
      • 1.3.3 YEARS CONSIDERED 59
    • 1.4 CURRENCY CONSIDERED 60
    • 1.5 STAKEHOLDERS 60
      • 1.5.1 IMPACT OF RECESSION 60

  • 2 RESEARCH METHODOLOGY 61

    • 2.1 RESEARCH DATA 61
      • 2.1.1 SECONDARY DATA 62
      • 2.1.2 PRIMARY DATA 62
        • 2.1.2.1 Breakup of primary profiles 63
        • 2.1.2.2 Key industry insights 63
    • 2.2 MARKET SIZE ESTIMATION 64
      • 2.2.1 TOP-DOWN APPROACH 64
      • 2.2.2 BOTTOM-UP APPROACH 64
    • 2.3 DATA TRIANGULATION 68
    • 2.4 MARKET FORECAST 68
    • 2.5 RESEARCH ASSUMPTIONS 69
    • 2.6 STUDY LIMITATIONS 71
    • 2.7 IMPLICATIONS OF RECESSION ON LARGE LANGUAGE MODEL MARKET 71

  • 3 EXECUTIVE SUMMARY 73

  • 4 PREMIUM INSIGHTS 81

    • 4.1 ATTRACTIVE OPPORTUNITIES FOR COMPANIES IN LARGE LANGUAGE MODEL MARKET 81
    • 4.2 LARGE LANGUAGE MODEL MARKET: TOP THREE APPLICATIONS 82
    • 4.3 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING AND END USER 82
    • 4.4 LARGE LANGUAGE MODEL MARKET, BY REGION 83

  • 5 MARKET OVERVIEW AND INDUSTRY TRENDS 84

    • 5.1 INTRODUCTION 84
    • 5.2 MARKET DYNAMICS 84
      • 5.2.1 DRIVERS 85
        • 5.2.1.1 Growth in availability of large datasets 85
        • 5.2.1.2 Advancements in deep learning algorithms 85
        • 5.2.1.3 Need for enhanced human-machine communication 86
        • 5.2.1.4 Rise in demand for automated content creation and curation 87
      • 5.2.2 RESTRAINTS 88
        • 5.2.2.1 High cost of model training & inference optimization 88
        • 5.2.2.2 Data biases and quality concerns 89
        • 5.2.2.3 Lack of transparency in explainability and interpretability 89
      • 5.2.3 OPPORTUNITIES 90
        • 5.2.3.1 Enhanced language translation and localization with use of LLMs 90
        • 5.2.3.2 Emotion recognition and sentiment analysis using LLMs 90
        • 5.2.3.3 Pressing demand for LLMs in knowledge discovery and management 91
      • 5.2.4 CHALLENGES 91
        • 5.2.4.1 High inference latency 91
        • 5.2.4.2 Computational inefficiency due to large memory requirements 92
        • 5.2.4.3 Maintaining model performance and integrity 92
    • 5.3 EVOLUTION OF LARGE LANGUAGE MODEL MARKET 93
    • 5.4 LARGE LANGUAGE MODELS: SOFTWARE LAYERS 95
      • 5.4.1 EMBEDDING LAYER 95
      • 5.4.2 FEEDFORWARD LAYER 95
      • 5.4.3 RECURRENT LAYER 96
      • 5.4.4 ATTENTION LAYER 96
    • 5.5 VALUE CHAIN ANALYSIS 97
    • 5.6 ECOSYSTEM ANALYSIS/MARKET MAP 99
      • 5.6.1 LARGE LANGUAGE MODEL SOFTWARE PROVIDERS 101
        • 5.6.1.1 LLM API Providers 102
        • 5.6.1.2 Vector Database Providers 102
        • 5.6.1.3 LLM Framework Providers 102
        • 5.6.1.4 Text-to-Speech Providers 102
        • 5.6.1.5 LLM Monitoring Tools Providers 102
      • 5.6.2 LARGE LANGUAGE MODEL SERVICE PROVIDERS 103
        • 5.6.2.1 Compute Platform Providers 103
        • 5.6.2.2 Model Hubs 103
        • 5.6.2.3 Fine Tuning/Custom Model Training Frameworks 103
        • 5.6.2.4 Monitoring/Observability Platform Providers 104
        • 5.6.2.5 Hosting Service Providers 104
      • 5.6.3 END USERS 104
      • 5.6.4 GOVERNMENT & REGULATORY BODIES 104
    • 5.7 INVESTMENT LANDSCAPE AND FUNDING SCENARIO 105
    • 5.8 CASE STUDY ANALYSIS 109
      • 5.8.1 BFSI 109
        • 5.8.1.1 Accelerated collection and analysis of investment information for Edger Finance with generative AI 109
      • 5.8.2 MEDIA & ENTERTAINMENT 109
        • 5.8.2.1 Revolutionized decentralized digital world of media & entertainment industry for Ben Group 109
      • 5.8.3 HEALTHCARE & LIFE SCIENCES 110
        • 5.8.3.1 Summer Health reimagined pediatric doctor’s visits with OpenAI 110
      • 5.8.4 IT/ITES 110
        • 5.8.4.1 Oxide AI piloted IBM watsonx.ai to take on investment information overload in finance 110
      • 5.8.5 LAW FIRMS 111
        • 5.8.5.1 Manz leveraged Deepset cloud to significantly reduce legal research efforts through semantic search 111
    • 5.9 TECHNOLOGY ANALYSIS 111
      • 5.9.1 KEY TECHNOLOGIES 111
        • 5.9.1.1 Natural Language Processing (NLP) 111
        • 5.9.1.2 Deep Learning 112
        • 5.9.1.3 Transformer Architecture 112
        • 5.9.1.4 Attention Mechanisms 112
        • 5.9.1.5 Transfer Learning 112
      • 5.9.2 ADJACENT TECHNOLOGIES 113
        • 5.9.2.1 Speech Recognition 113
        • 5.9.2.2 Computer Vision 113
        • 5.9.2.3 Reinforcement Learning 113
        • 5.9.2.4 Knowledge Graphs 114
      • 5.9.3 COMPLEMENTARY TECHNOLOGIES 114
        • 5.9.3.1 Quantum Computing 114
        • 5.9.3.2 Explainable AI 114
        • 5.9.3.3 Edge Computing 115
        • 5.9.3.4 Blockchain 115
    • 5.10 REGULATORY LANDSCAPE 115
      • 5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 115
      • 5.10.2 REGULATIONS: LARGE LANGUAGE MODEL MARKET 118
        • 5.10.2.1 North America 118
          • 5.10.2.1.1 California Consumer Privacy Act (CCPA) 118
          • 5.10.2.1.2 Canada's Directive on Automated Decision-Making 118
          • 5.10.2.1.3 AI and Automated Decision Systems (AADS) Ordinance (New York City) 119
        • 5.10.2.2 Europe 119
          • 5.10.2.2.1 General Data Protection Regulation (GDPR) 119
          • 5.10.2.2.2 European Union's Artificial Intelligence Act (AIA) 119
          • 5.10.2.2.3 Ethical Guidelines for Trustworthy AI by the European Commission 119
        • 5.10.2.3 Asia Pacific 119
          • 5.10.2.3.1 Personal Information Protection Law (PIPL) - China 119
          • 5.10.2.3.2 Artificial Intelligence Ethics Guidelines - Japan 119
          • 5.10.2.3.3 AI Strategy and Governance Framework - Australia 119
        • 5.10.2.4 Middle East & Africa 120
          • 5.10.2.4.1 UAE AI Regulation and Ethics Guidelines 120
          • 5.10.2.4.2 South Africa's Protection of Personal Information Act (POPIA) 120
          • 5.10.2.4.3 Egypt's Data Protection Law 120
        • 5.10.2.5 Latin America 120
          • 5.10.2.5.1 Brazil - General Data Protection Law (LGPD) 120
          • 5.10.2.5.2 Mexico - Federal Law on the Protection of Personal Data Held by Private Parties (LFPDPPP) 120
          • 5.10.2.5.3 Argentina - Personal Data Protection Law (PDPL) 120
    • 5.11 PATENT ANALYSIS 121
      • 5.11.1 METHODOLOGY 121
      • 5.11.2 PATENTS FILED, BY DOCUMENT TYPE 121
      • 5.11.3 INNOVATION AND PATENT APPLICATIONS 121
        • 5.11.3.1 Top patent owners in large language model market 122
    • 5.12 PRICING ANALYSIS 126
      • 5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOFTWARE TYPE 128
      • 5.12.2 INDICATIVE PRICING ANALYSIS, BY OFFERING 129
    • 5.13 TRADE ANALYSIS 131
      • 5.13.1 EXPORT SCENARIO OF COMPUTER SOFTWARE 131
      • 5.13.2 IMPORT SCENARIO OF COMPUTER SOFTWARE 132
    • 5.14 KEY CONFERENCES & EVENTS 133
    • 5.15 PORTER’S FIVE FORCES ANALYSIS 134
      • 5.15.1 THREAT OF NEW ENTRANTS 135
      • 5.15.2 THREAT OF SUBSTITUTES 135
      • 5.15.3 BARGAINING POWER OF SUPPLIERS 136
      • 5.15.4 BARGAINING POWER OF BUYERS 136
      • 5.15.5 INTENSITY OF COMPETITIVE RIVALRY 136
    • 5.16 TECHNOLOGY ROADMAP 137
    • 5.17 BUSINESS MODELS 138
      • 5.17.1 SOFTWARE VENDOR MODEL 139
      • 5.17.2 CLOUD API ACCESS MODEL 139
      • 5.17.3 CUSTOM TRAINING/FINE-TUNING MODEL 140
      • 5.17.4 MARKETPLACES/EXCHANGES MODEL 141
    • 5.18 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 141
      • 5.18.1 REVENUE SHIFT & NEW REVENUE POCKETS FOR LARGE LANGUAGE MODEL PROVIDERS 141
    • 5.19 KEY STAKEHOLDERS & BUYING CRITERIA 142
      • 5.19.1 KEY STAKEHOLDERS IN BUYING PROCESS 142
      • 5.19.2 BUYING CRITERIA 143

  • 6 LARGE LANGUAGE MODEL MARKET, BY OFFERING 144

    • 6.1 INTRODUCTION 145
      • 6.1.1 OFFERING: LARGE LANGUAGE MODEL MARKET DRIVERS 145
    • 6.2 SOFTWARE, BY TYPE 147
      • 6.2.1 GENERAL PURPOSE LLMS 148
        • 6.2.1.1 High versatility and rapid adaptability of general-purpose LLMs to spur widespread deployment across multiple use cases 148
      • 6.2.2 DOMAIN-SPECIFIC LLMS 150
        • 6.2.2.1 Adoption of domain-specific LLMs to be driven by organizations' pressing needs for LLMs tailored to their industry 150
        • 6.2.2.2 Zero-shot 151
        • 6.2.2.3 One-shot 152
        • 6.2.2.4 Few-shot 153
      • 6.2.3 MULTILINGUAL LLMS 155
        • 6.2.3.1 Increasing globalization and drive for inclusivity to catalyze demand for seamless multilingual language processing capabilities 155
      • 6.2.4 TASK-SPECIFIC LLMS 156
        • 6.2.4.1 Demand for high accuracy and precision in task-oriented language models for mission-critical applications to drive task-specific LLM growth 156
    • 6.3 SOFTWARE, BY SOURCE CODE 157
      • 6.3.1 OPEN-SOURCE LLMS 159
        • 6.3.1.1 Availability of powerful open-source LLM models, combined with collaborative nature of open-source community, to drive adoption and growth of open-source LLMs 159
      • 6.3.2 CLOSED-SOURCE LLMS 160
        • 6.3.2.1 Closed-source LLMs to be driven by need for customized, domain-specific AI solutions, as well as desire for exclusive access and proprietary advantages 160
    • 6.4 SOFTWARE, BY DEPLOYMENT MODE 162
      • 6.4.1 CLOUD 163
        • 6.4.1.1 Increasing demand for scalable and easily accessible LLM APIs to drive growth of cloud-based LLMs 163
      • 6.4.2 ON-PREMISES 165
        • 6.4.2.1 Pressing need from enterprises for stringent data privacy and handling data in sensitive domains to fuel growth of on-premises LLMs for localized deployment and control 165
    • 6.5 SERVICES 166
      • 6.5.1 CONSULTING 168
        • 6.5.1.1 Growing demand for expert guidance on LLM adoption and implementation strategies to drive consulting services segment 168
      • 6.5.2 LLM DEVELOPMENT 169
        • 6.5.2.1 LLM development services to be buoyed by increasing need for custom LLMs tailored to specific use cases and industries 169
      • 6.5.3 INTEGRATION 171
        • 6.5.3.1 Necessity of seamlessly incorporating LLMs into existing software ecosystems and workflows to accentuate demand for integration services 171
      • 6.5.4 LLM FINE-TUNING 172
        • 6.5.4.1 Domain-specific and task-specific LLM optimization set to expand LLM fine-tuning services market 172
        • 6.5.4.2 Full fine-tuning 173
        • 6.5.4.3 Retrieval-augmented Generation (RAG) 174
        • 6.5.4.4 Adapter-based parameter-efficient tuning 176
      • 6.5.5 LLM-BACKED APP DEVELOPMENT 177
        • 6.5.5.1 Adoption of LLM-backed app development services on the rise, attributed to growing popularity of LLM-powered applications across various sectors 177
      • 6.5.6 PROMPT ENGINEERING 179
        • 6.5.6.1 Prompt engineering services slated for rapid growth owing to criticality of effective prompt design for optimal LLM performance 179
      • 6.5.7 SUPPORT & MAINTENANCE 180
        • 6.5.7.1 Ongoing need for LLM model updates, monitoring, and long-term support to drive adoption of support & maintenance services 180

  • 7 LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE 182

    • 7.1 INTRODUCTION 183
      • 7.1.1 ARCHITECTURE: LARGE LANGUAGE MODEL MARKET DRIVERS 183
    • 7.2 AUTOREGRESSIVE LANGUAGE MODELS 185
      • 7.2.1 AUTOREGRESSIVE LANGUAGE MODELS TO CAPTURE COMPLEX LINGUISTIC PATTERNS AND DEPENDENCIES WITHIN GIVEN CONTEXT 185
      • 7.2.2 SINGLE-HEADED AUTOREGRESSIVE LANGUAGE MODELS 186
      • 7.2.3 MULTI-HEADED AUTOREGRESSIVE LANGUAGE MODELS 186
    • 7.3 AUTOENCODING LANGUAGE MODELS 187
      • 7.3.1 AELMS TO EXTEND TO FINE-TUNING DOWNSTREAM TASKS, LEADING TO WIDESPREAD ADOPTION IN INDUSTRY AND ACADEMIA 187
      • 7.3.2 VANILLA AUTOENCODING LANGUAGE MODELS 188
      • 7.3.3 OPTIMIZED AUTOENCODING LANGUAGE MODELS 188
    • 7.4 HYBRID LANGUAGE MODELS 189
      • 7.4.1 INTEGRATING AUTOREGRESSIVE AND AUTOENCODING COMPONENTS TO ENABLE THEM TO EXCEL IN TASKS REQUIRING CONTEXTUAL UNDERSTANDING AND GENERATIVE CAPABILITIES 189
      • 7.4.2 TEXT-TO-TEXT LANGUAGE MODELS 190
      • 7.4.3 PRETRAINING-FINETUNING MODELS 190

  • 8 LARGE LANGUAGE MODEL MARKET, BY MODALITY 191

    • 8.1 INTRODUCTION 192
      • 8.1.1 MODALITY: LARGE LANGUAGE MODEL MARKET DRIVERS 192
    • 8.2 TEXT 193
      • 8.2.1 LLMS TO LEVERAGE ADVANCED TECHNIQUES SUCH AS ATTENTION MECHANISMS AND TRANSFORMER ARCHITECTURES TO PROCESS AND GENERATE TEXT 193
    • 8.3 CODE 194
      • 8.3.1 LLMS WITH CODE UNDERSTANDING CAPABILITIES TO ASSIST IN TASKS SUCH AS SOFTWARE MAINTENANCE, REFACTORING, AND OPTIMIZATION 194
    • 8.4 IMAGE 195
      • 8.4.1 MULTIMODAL TRANSFORMERS AND FUSION MECHANISMS TO ALLOW LLMS TO INCORPORATE VISUAL INFORMATION ALONGSIDE TEXTUAL INPUTS 195
    • 8.5 VIDEO 196
      • 8.5.1 VIDEO MODALITY TO EMPOWER LLMS TO EXTRACT MEANINGFUL INSIGHTS FROM VIDEO CONTENT, INCLUDING OBJECT RECOGNITION, ACTIVITY DETECTION, AND SCENE UNDERSTANDING 196

  • 9 LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE 198

    • 9.1 INTRODUCTION 199
      • 9.1.1 MODEL SIZE: LARGE LANGUAGE MODEL MARKET DRIVERS 199
    • 9.2 BELOW 1 BILLION PARAMETERS 201
      • 9.2.1 MODELS BELOW 1 BILLION PARAMETERS TO BE IDEAL FOR APPLICATIONS IN ENVIRONMENTS WITH LIMITED COMPUTATIONAL CAPABILITIES 201
    • 9.3 1 BILLION TO 10 BILLION PARAMETERS 203
      • 9.3.1 MODELS BETWEEN 1 BILLION AND 10 BILLION PARAMETERS ADEPT FOR BROAD SPECTRUM OF NLP TASKS WITH MODERATE COMPUTATIONAL REQUIREMENTS 203
    • 9.4 10 BILLION TO 50 BILLION PARAMETERS 205
      • 9.4.1 10 BILLION TO 50 BILLION PARAMETERS MODELS TO HANDLE ADVANCED LANGUAGE UNDERSTANDING WITHOUT RESOURCE-INTENSIVE NATURE OF LARGER MODELS 205
    • 9.5 50 BILLION TO 100 BILLION PARAMETERS 207
      • 9.5.1 EXPANSION IN MODELS WITH 50 BILLION TO 100 BILLION PARAMETERS PROPELLED BY THEIR INCREASED CAPACITY FOR NUANCED LANGUAGE COMPREHENSION AND CONTEXT AWARENESS 207
    • 9.6 100 BILLION TO 200 BILLION PARAMETERS 209
      • 9.6.1 HEIGHTENED CAPABILITY TO UNDERSTAND COMPLEX LANGUAGE PATTERNS TO MAKE THESE MODEL SIZES SUITABLE FOR DEVELOPING DOMAIN-SPECIFIC LLMS 209
    • 9.7 200 BILLION TO 500 BILLION PARAMETERS 211
      • 9.7.1 THESE MODELS DEMONSTRATE ROBUST PERFORMANCE IN EXTENSIVE CONTEXT AWARENESS, SOPHISTICATED DIALOGUE SYSTEMS, AND ADVANCED CONTENT GENERATION 211
    • 9.8 ABOVE 500 BILLION PARAMETERS 212
      • 9.8.1 MODELS ABOVE 500 BILLION PARAMETERS TO PROVIDE UNPARALLELED PERFORMANCE AND EXCEPTIONALLY HIGH LEVEL OF CONTEXT COMPREHENSION AND GENERATION 212

  • 10 LARGE LANGUAGE MODEL MARKET, BY APPLICATION 215

    • 10.1 INTRODUCTION 216
      • 10.1.1 APPLICATION: LARGE LANGUAGE MODEL MARKET DRIVERS 216
    • 10.2 INFORMATION RETRIEVAL 218
      • 10.2.1 LLMS TO HELP UNDERSTAND SEMANTIC MEANING AND CONTEXT OF TEXT, ENABLING MORE ACCURATE AND RELEVANT INFORMATION RETRIEVAL 218
    • 10.3 LANGUAGE TRANSLATION & LOCALIZATION 219
      • 10.3.1 LLMS TO STREAMLINE LOCALIZATION PROCESS BY AUTOMATING VARIOUS TASKS, SUCH AS TRANSLATING WEBSITE CONTENT, PRODUCT DESCRIPTIONS, AND USER INTERFACES 219
      • 10.3.2 MULTILINGUAL TRANSLATION 220
      • 10.3.3 LOCALIZATION SERVICES 221
    • 10.4 CONTENT GENERATION & CURATION 221
      • 10.4.1 BUSINESSES AND CONTENT CREATORS TO STREAMLINE CONTENT WORKFLOWS, IMPROVE CONTENT QUALITY, AND DELIVER MORE PERSONALIZED EXPERIENCE 221
      • 10.4.2 AUTOMATED JOURNALISM AND ARTICLE WRITING 222
      • 10.4.3 CREATIVE WRITING 223
    • 10.5 CODE GENERATION 223
      • 10.5.1 LLMS TO FACILITATE CODE REFACTORING AND OPTIMIZATION BY ANALYZING EXISTING CODEBASES AND SUGGESTING IMPROVEMENTS OR ALTERNATIVE IMPLEMENTATIONS 223
    • 10.6 CUSTOMER SERVICE AUTOMATION 224
      • 10.6.1 INTEGRATING AUTOREGRESSIVE AND AUTOENCODING COMPONENTS TO ENABLE TO EXCEL IN TASKS REQUIRING CONTEXTUAL UNDERSTANDING AND GENERATIVE CAPABILITIES 224
      • 10.6.2 CHATBOTS AND VIRTUAL ASSISTANTS 225
      • 10.6.3 SALES AND MARKETING AUTOMATION 226
      • 10.6.4 PERSONALIZED RECOMMENDATION 226
    • 10.7 DATA ANALYSIS AND BI 227
      • 10.7.1 INTEGRATING LLMS TO AUTOMATE DATA CATEGORIZATION, ANOMALY DETECTION, AND PREDICTIVE ANALYTICS, ENABLING BUSINESSES TO GAIN DEEPER INSIGHTS 227
      • 10.7.2 SENTIMENT ANALYSIS 228
      • 10.7.3 BUSINESS REPORTING AND MARKET ANALYSIS 228
    • 10.8 OTHER APPLICATIONS 229

  • 11 LARGE LANGUAGE MODEL MARKET, BY END USER 231

    • 11.1 INTRODUCTION 232
      • 11.1.1 END USER: LARGE LANGUAGE MODEL MARKET DRIVERS 232
    • 11.2 IT & ITES 234
      • 11.2.1 EXTENSIVE UTILIZATION OF LLMS IN SOFTWARE DEVELOPMENT PROCESSES AND CUSTOMER SERVICE 234
    • 11.3 HEALTHCARE & LIFE SCIENCES 237
      • 11.3.1 LEVERAGING LLMS FOR SENTIMENT ANALYSIS OF PATIENT FEEDBACK, PROCESS OF LITERATURE REVIEW, AND PARSING COMPLEX DATASETS 237
    • 11.4 LAW FIRMS 241
      • 11.4.1 NLP CAPABILITIES OF LLMS ENABLE LAW FIRMS TO EXTRACT INSIGHTS FROM VAST AMOUNTS OF LEGAL TEXTS 241
    • 11.5 BFSI 244
      • 11.5.1 LLMS HELP FINANCIAL INSTITUTIONS AUTOMATE ROUTINE TASKS SUCH AS CONTRACT ANALYSIS AND COMPLIANCE MONITORING 244
    • 11.6 MANUFACTURING 247
      • 11.6.1 OPTIMIZING SUPPLY CHAIN BY ANALYZING MARKET TRENDS, DEMAND FORECASTS, AND LOGISTICAL DATA 247
    • 11.7 EDUCATION 251
      • 11.7.1 DEMAND FOR ASSISTANCE IN GRADING ASSIGNMENTS, GENERATING QUIZZES, AND PROVIDING FEEDBACK IN EDUCATION 251
    • 11.8 RETAIL & ECOMMERCE 254
      • 11.8.1 NEED FOR RETAILERS TO DELIVER ENGAGING AND RESPONSIVE INTERACTIONS ACROSS MULTIPLE CHANNELS 254
    • 11.9 MEDIA & ENTERTAINMENT 258
      • 11.9.1 ENABLING MEDIA COMPANIES TO OPTIMIZE CONTENT FOR DIFFERENT PLATFORMS AND AUDIENCES 258
    • 11.10 OTHER END USERS 261

  • 12 LARGE LANGUAGE MODEL MARKET, BY REGION 264

    • 12.1 INTRODUCTION 265
    • 12.2 NORTH AMERICA 267
      • 12.2.1 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET DRIVERS 267
      • 12.2.2 NORTH AMERICA: RECESSION IMPACT 268
      • 12.2.3 US 277
        • 12.2.3.1 Supportive regulatory environment and robust technological infrastructure 277
      • 12.2.4 CANADA 278
        • 12.2.4.1 Leveraging AI-driven LLM technologies to address societal challenges and drive innovation across industries 278
    • 12.3 EUROPE 279
      • 12.3.1 EUROPE: LARGE LANGUAGE MODEL MARKET DRIVERS 279
      • 12.3.2 EUROPE: RECESSION IMPACT 280
      • 12.3.3 UK 288
        • 12.3.3.1 Government support for AI development through initiatives such as AI Sector Deal, boosting investment in AI research 288
      • 12.3.4 GERMANY 289
        • 12.3.4.1 Increasing interest in developing AI solutions tailored to German language and specific regional dialects 289
      • 12.3.5 FRANCE 290
        • 12.3.5.1 Country’s combination of technological innovation, government initiatives, and thriving AI ecosystem 290
      • 12.3.6 REST OF EUROPE 291
    • 12.4 ASIA PACIFIC 292
      • 12.4.1 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET DRIVERS 292
      • 12.4.2 ASIA PACIFIC: RECESSION IMPACT 293
      • 12.4.3 CHINA 302
        • 12.4.3.1 Integration of LLMs into various industries in China 302
      • 12.4.4 INDIA 303
        • 12.4.4.1 Emerging tech industry and huge digital population 303
      • 12.4.5 JAPAN 304
        • 12.4.5.1 Rich cultural heritage and technologically advanced society 304
      • 12.4.6 SOUTH KOREA 305
        • 12.4.6.1 Homegrown startup achievements on Open LLM Leaderboard indicating growing presence of Korean companies in global AI landscape 305
      • 12.4.7 REST OF ASIA PACIFIC 306
    • 12.5 MIDDLE EAST & AFRICA 307
      • 12.5.1 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET DRIVERS 307
      • 12.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT 308
      • 12.5.3 GCC 316
        • 12.5.3.1 Significant investments in AI technologies and adoption of Arabic-specific language models 316
      • 12.5.4 SOUTH AFRICA 317
        • 12.5.4.1 Strategic geographical location of South Africa and status as regional economic hub 317
      • 12.5.5 TURKEY 318
        • 12.5.5.1 Growth of Turkish economy led to greater demand for large language model services 318
      • 12.5.6 REST OF MIDDLE EAST & AFRICA 319
    • 12.6 LATIN AMERICA 320
      • 12.6.1 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET DRIVERS 320
      • 12.6.2 LATIN AMERICA: RECESSION IMPACT 320
      • 12.6.3 BRAZIL 328
        • 12.6.3.1 Economy driven by industries such as agriculture, manufacturing, and services to fuel need for advanced language technologies 328
      • 12.6.4 MEXICO 329
        • 12.6.4.1 Government and digital transformation initiatives to fuel adoption of advanced AI technologies 329
      • 12.6.5 REST OF LATIN AMERICA 330

  • 13 COMPETITIVE LANDSCAPE 332

    • 13.1 OVERVIEW 332
    • 13.2 KEY PLAYER STRATEGIES 332
    • 13.3 REVENUE ANALYSIS 334
    • 13.4 MARKET SHARE ANALYSIS 335
      • 13.4.1 MARKET RANKING ANALYSIS 336
    • 13.5 PRODUCT COMPARATIVE ANALYSIS 339
      • 13.5.1 PRODUCT COMPARATIVE ANALYSIS, BY GENERAL-PURPOSE LLM 339
        • 13.5.1.1 GPT-4 by OpenAI 339
        • 13.5.1.2 Llama 2 by Meta 339
        • 13.5.1.3 Claude 3 By Anthropic 339
        • 13.5.1.4 Amazon Titan by Amazon 340
        • 13.5.1.5 Gemini by Google 340
      • 13.5.2 PRODUCT COMPARATIVE ANALYSIS, BY DOMAIN-SPECIFIC LLM 340
        • 13.5.2.1 Med-PaLM by Google 340
        • 13.5.2.2 Amazon CodeWhisperer by Amazon 341
        • 13.5.2.3 BloombergGPT by Bloomberg 341
        • 13.5.2.4 FinGPT 341
        • 13.5.2.5 BioBERTpt 341
      • 13.5.3 PRODUCT COMPARATIVE ANALYSIS, BY OPEN-SOURCE LLM 342
        • 13.5.3.1 Neural Chat 7B by Intel 343
        • 13.5.3.2 Falcon by Technology Innovation Institute 343
        • 13.5.3.3 Bloom by BigScience 343
        • 13.5.3.4 Xgen 7B 4K Base by Salesforce 343
        • 13.5.3.5 Neox GPT by EleutherAI 343
        • 13.5.3.6 Abacus Giraffe by Abacus AI 343
        • 13.5.3.7 Baichuan 13B by Baichuan Intelligence 344
        • 13.5.3.8 Open Llama by OpenLM 344
        • 13.5.3.9 Vicuna-33B by Lmsys 344
        • 13.5.3.10 Dolly 2.0 by Databricks 344
    • 13.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS 345
    • 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 346
      • 13.7.1 STARS 346
      • 13.7.2 EMERGING LEADERS 346
      • 13.7.3 PERVASIVE PLAYERS 346
      • 13.7.4 PARTICIPANTS 346
      • 13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 348
        • 13.7.5.1 Company Footprint 348
        • 13.7.5.2 Region Footprint 348
        • 13.7.5.3 Application Footprint 349
        • 13.7.5.4 End-user Footprint 350
        • 13.7.5.5 Modality Footprint 351
    • 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 351
      • 13.8.1 PROGRESSIVE COMPANIES 352
      • 13.8.2 RESPONSIVE COMPANIES 352
      • 13.8.3 DYNAMIC COMPANIES 352
      • 13.8.4 STARTING BLOCKS 352
      • 13.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 353
        • 13.8.5.1 Detailed List of Key Startups/SMEs 353
        • 13.8.5.2 Competitive Benchmarking of Key Startups/SMEs 355
    • 13.9 COMPETITIVE SCENARIO AND TRENDS 355
      • 13.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS 355
      • 13.9.2 DEALS 360

  • 14 COMPANY PROFILES 366

    • 14.1 INTRODUCTION 366
    • 14.2 KEY PLAYERS 366
      • 14.2.1 GOOGLE 366
      • 14.2.2 OPENAI 372
      • 14.2.3 MICROSOFT 377
      • 14.2.4 ANTHROPIC 381
      • 14.2.5 META 384
      • 14.2.6 NVIDIA 388
      • 14.2.7 IBM 393
      • 14.2.8 HPE 397
      • 14.2.9 ORACLE 400
      • 14.2.10 AWS 404
      • 14.2.11 TENCENT 408
      • 14.2.12 YANDEX 409
      • 14.2.13 NAVER 410
      • 14.2.14 AI21 LABS 411
      • 14.2.15 HUGGING FACE 412
      • 14.2.16 BAIDU 413
      • 14.2.17 SENSETIME 414
      • 14.2.18 HUAWEI 415
    • 14.3 STARTUP/SME PROFILES 416
      • 14.3.1 FEDML 416
      • 14.3.2 DYNAMOFL 416
      • 14.3.3 TOGETHER AI 417
      • 14.3.4 UPSTAGE 417
      • 14.3.5 MISTRAL AI 418
      • 14.3.6 ADEPT 419
      • 14.3.7 NEURALFINITY 420
      • 14.3.8 MOSAIC ML 421
      • 14.3.9 STABILITY AI 422
      • 14.3.10 LIGHTON 423
      • 14.3.11 COHERE 424
      • 14.3.12 TURING 425
      • 14.3.13 LIGHTNING AI 426
      • 14.3.14 WHYLABS 427

  • 15 ADJACENT AND RELATED MARKETS 428

    • 15.1 INTRODUCTION 428
    • 15.2 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2030 428
      • 15.2.1 MARKET DEFINITION 428
      • 15.2.2 MARKET OVERVIEW 428
        • 15.2.2.1 Artificial intelligence market, by offering 429
        • 15.2.2.2 Artificial intelligence market, by technology 429
        • 15.2.2.3 Artificial intelligence market, by business function 430
        • 15.2.2.4 Artificial intelligence market, by vertical 431
        • 15.2.2.5 Artificial intelligence market, by region 432
    • 15.3 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2030 433
      • 15.3.1 MARKET DEFINITION 433
      • 15.3.2 MARKET OVERVIEW 434
        • 15.3.2.1 Generative AI market, by offering 434
        • 15.3.2.2 Generative AI market, by application 434
        • 15.3.2.3 Generative AI market, by region 436

  • 16 APPENDIX 438

    • 16.1 DISCUSSION GUIDE 438
    • 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 445
    • 16.3 CUSTOMIZATION OPTIONS 447
    • 16.4 RELATED REPORTS 447
    • 16.5 AUTHOR DETAILS 448

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2020-2023 TABLE 2 PRIMARY INTERVIEWS TABLE 3 FACTOR ANALYSIS TABLE 4 RESEARCH ASSUMPTIONS TABLE 5 IMPACT OF RECESSION ON GLOBAL LARGE LANGUAGE MODEL MARKET TABLE 6 GLOBAL LARGE LANGUAGE MODEL MARKET SIZE AND GROWTH RATE, 2020-2023 (USD MILLION, Y-O-Y %) TABLE 7 GLOBAL LARGE LANGUAGE MODEL MARKET SIZE AND GROWTH RATE, 2024-2030 (USD MILLION, Y-O-Y %) TABLE 8 LARGE LANGUAGE MODEL MARKET: VALUE CHAIN ANALYSIS TABLE 9 LARGE LANGUAGE MODEL MARKET: ECOSYSTEM TABLE 10 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 11 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 12 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 13 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 14 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 15 PATENTS FILED, 2013-2023 TABLE 16 TOP 20 PATENT OWNERS IN LARGE LANGUAGE MODEL MARKET, 2013-2023 TABLE 17 LIST OF FEW PATENTS IN LARGE LANGUAGE MODEL MARKET, 2022-2023 TABLE 18 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOFTWARE TYPE TABLE 19 INDICATIVE PRICING LEVELS OF LARGE LANGUAGE MODEL SOLUTIONS, BY OFFERING TABLE 20 LARGE LANGUAGE MODEL MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2024-2025 TABLE 21 PORTER’S FIVE FORCES’ IMPACT ON LARGE LANGUAGE MODEL MARKET TABLE 22 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR KEY END USERS TABLE 23 KEY BUYING CRITERIA FOR TOP THREE END USERS TABLE 24 LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 25 LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 26 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE TYPE, 2020-2023 (USD MILLION) TABLE 27 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE TYPE, 2024-2030 (USD MILLION) TABLE 28 GENERAL-PURPOSE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 29 GENERAL-PURPOSE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 30 ZERO-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 31 ZERO-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 32 ONE-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 33 ONE-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 34 FEW-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 35 FEW-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 36 MULTILINGUAL LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 37 MULTILINGUAL LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 38 TASK-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 39 TASK-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 40 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE SOURCE CODE, 2020-2023 (USD MILLION) TABLE 41 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE SOURCE CODE, 2024-2030 (USD MILLION) TABLE 42 OPEN-SOURCE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 43 OPEN-SOURCE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 44 CLOSED-SOURCE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 45 CLOSED-SOURCE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 46 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE DEPLOYMENT MODE, 2020-2023 (USD MILLION) TABLE 47 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE DEPLOYMENT MODE, 2024-2030 (USD MILLION) TABLE 48 CLOUD: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 49 CLOUD: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 50 ON-PREMISES: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 51 ON-PREMISES: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 52 LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020-2023 (USD MILLION) TABLE 53 LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024-2030 (USD MILLION) TABLE 54 CONSULTING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 55 CONSULTING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 56 LLM DEVELOPMENT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 57 LLM DEVELOPMENT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 58 INTEGRATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 59 INTEGRATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 60 FULL FINE-TUNING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 61 FULL FINE-TUNING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 62 RETRIEVAL-AUGMENTED GENERATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 63 RETRIEVAL-AUGMENTED GENERATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 64 ADAPTER-BASED PARAMETER-EFFICIENT TUNING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 65 ADAPTER-BASED PARAMETER-EFFICIENT TUNING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 66 LLM-BACKED APP DEVELOPMENT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 67 LLM-BACKED APP DEVELOPMENT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 68 PROMPT ENGINEERING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 69 PROMPT ENGINEERING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 70 SUPPORT & MAINTENANCE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 71 SUPPORT & MAINTENANCE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 72 LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020-2023 (USD MILLION) TABLE 73 LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024-2030 (USD MILLION) TABLE 74 AUTOREGRESSIVE LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 75 AUTOREGRESSIVE LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 76 AUTOENCODING LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 77 AUTOENCODING LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 78 HYBRID LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 79 HYBRID LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 80 LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020-2023 (USD MILLION) TABLE 81 LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024-2030 (USD MILLION) TABLE 82 TEXT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 83 TEXT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 84 CODE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 85 CODE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 86 IMAGE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 87 IMAGE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 88 VIDEO: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 89 VIDEO: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 90 LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020-2023 (USD MILLION) TABLE 91 LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024-2030 (USD MILLION) TABLE 92 BELOW 1 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 93 BELOW 1 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 94 1 BILLION TO 10 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 95 1 BILLION TO 10 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 96 10 BILLION TO 50 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 97 10 BILLION TO 50 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 98 50 BILLION TO 100 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 99 50 BILLION TO 100 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 100 100 BILLION TO 200 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 101 100 BILLION TO 200 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 102 200 BILLION TO 500 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 103 200 BILLION TO 500 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 104 ABOVE 500 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 105 ABOVE 500 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 106 LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 107 LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 108 INFORMATION RETRIEVAL: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 109 INFORMATION RETRIEVAL: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 110 LANGUAGE TRANSLATION & LOCALIZATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 111 LANGUAGE TRANSLATION & LOCALIZATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 112 CONTENT GENERATION & CURATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 113 CONTENT GENERATION & CURATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 114 CODE GENERATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 115 CODE GENERATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 116 CUSTOMER SERVICE AUTOMATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 117 CUSTOMER SERVICE AUTOMATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 118 DATA ANALYSIS AND BI: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 119 DATA ANALYSIS AND BI: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 120 OTHER APPLICATIONS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 121 OTHER APPLICATIONS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 122 LARGE LANGUAGE MODEL MARKET, BY END USER, 2020-2023 (USD MILLION) TABLE 123 LARGE LANGUAGE MODEL MARKET, BY END USER, 2024-2030 (USD MILLION) TABLE 124 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY REGION, 2020-2023 (USD MILLION) TABLE 125 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY REGION, 2024-2030 (USD MILLION) TABLE 126 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY OFFERING, 2020-2023 (USD MILLION) TABLE 127 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY OFFERING, 2024-2030 (USD MILLION) TABLE 128 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 129 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 130 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY REGION, 2020-2023 (USD MILLION) TABLE 131 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY REGION, 2024-2030 (USD MILLION) TABLE 132 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY OFFERING, 2020-2023 (USD MILLION) TABLE 133 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY OFFERING, 2024-2030 (USD MILLION) TABLE 134 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 135 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 136 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY REGION, 2020-2023 (USD MILLION) TABLE 137 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY REGION, 2024-2030 (USD MILLION) TABLE 138 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY OFFERING, 2020-2023 (USD MILLION) TABLE 139 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY OFFERING, 2024-2030 (USD MILLION) TABLE 140 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 141 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 142 LARGE LANGUAGE MODEL MARKET IN BFSI, BY REGION, 2020-2023 (USD MILLION) TABLE 143 LARGE LANGUAGE MODEL MARKET IN BFSI, BY REGION, 2024-2030 (USD MILLION) TABLE 144 LARGE LANGUAGE MODEL MARKET IN BFSI, BY OFFERING, 2020-2023 (USD MILLION) TABLE 145 LARGE LANGUAGE MODEL MARKET IN BFSI, BY OFFERING, 2024-2030 (USD MILLION) TABLE 146 LARGE LANGUAGE MODEL MARKET IN BFSI, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 147 LARGE LANGUAGE MODEL MARKET IN BFSI, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 148 LARGE LANGUAGE MODEL MARKET IN MANUFACTURING, BY REGION, 2020-2023 (USD MILLION) TABLE 149 LARGE LANGUAGE MODEL MARKET IN MANUFACTURING, BY REGION, 2024-2030 (USD MILLION) TABLE 150 LARGE LANGUAGE MODEL MARKET IN MANUFACTURING, BY OFFERING, 2020-2023 (USD MILLION) TABLE 151 LARGE LANGUAGE MODEL MARKET IN MANUFACTURING, BY OFFERING, 2024-2030 (USD MILLION) TABLE 152 LARGE LANGUAGE MODEL MARKET IN MANUFACTURING, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 153 MANUFACTURING: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 154 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY REGION, 2020-2023 (USD MILLION) TABLE 155 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY REGION, 2024-2030 (USD MILLION) TABLE 156 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY OFFERING, 2020-2023 (USD MILLION) TABLE 157 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY OFFERING, 2024-2030 (USD MILLION) TABLE 158 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 159 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 160 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY REGION, 2020-2023 (USD MILLION) TABLE 161 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY REGION, 2024-2030 (USD MILLION) TABLE 162 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY OFFERING, 2020-2023 (USD MILLION) TABLE 163 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY OFFERING, 2024-2030 (USD MILLION) TABLE 164 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 165 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 166 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY REGION, 2020-2023 (USD MILLION) TABLE 167 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY REGION, 2024-2030 (USD MILLION) TABLE 168 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY OFFERING, 2020-2023 (USD MILLION) TABLE 169 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY OFFERING, 2024-2030 (USD MILLION) TABLE 170 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 171 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 172 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY REGION, 2020-2023 (USD MILLION) TABLE 173 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY REGION, 2024-2030 (USD MILLION) TABLE 174 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY OFFERING, 2020-2023 (USD MILLION) TABLE 175 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY OFFERING, 2024-2030 (USD MILLION) TABLE 176 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 177 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 178 LARGE LANGUAGE MODEL MARKET, BY REGION, 2020-2023 (USD MILLION) TABLE 179 LARGE LANGUAGE MODEL MARKET, BY REGION, 2024-2030 (USD MILLION) TABLE 180 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 181 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 182 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2020-2023 (USD MILLION) TABLE 183 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2024-2030 (USD MILLION) TABLE 184 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2020-2023 (USD MILLION) TABLE 185 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2024-2030 (USD MILLION) TABLE 186 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION) TABLE 187 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION) TABLE 188 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020-2023 (USD MILLION) TABLE 189 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024-2030 (USD MILLION) TABLE 190 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020-2023 (USD MILLION) TABLE 191 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024-2030 (USD MILLION) TABLE 192 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020-2023 (USD MILLION) TABLE 193 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024-2030 (USD MILLION) TABLE 194 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020-2023 (USD MILLION) TABLE 195 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024-2030 (USD MILLION) TABLE 196 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 197 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 198 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2020-2023 (USD MILLION) TABLE 199 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2024-2030 (USD MILLION) TABLE 200 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2020-2023 (USD MILLION) TABLE 201 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2024-2030 (USD MILLION) TABLE 202 US: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 203 US: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 204 CANADA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 205 CANADA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 206 EUROPE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 207 EUROPE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 208 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2020-2023 (USD MILLION) TABLE 209 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2024-2030 (USD MILLION) TABLE 210 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2020-2023 (USD MILLION) TABLE 211 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2024-2030 (USD MILLION) TABLE 212 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION) TABLE 213 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION) TABLE 214 EUROPE: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020-2023 (USD MILLION) TABLE 215 EUROPE: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024-2030 (USD MILLION) TABLE 216 EUROPE: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020-2023 (USD MILLION) TABLE 217 EUROPE: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024-2030 (USD MILLION) TABLE 218 EUROPE: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020-2023 (USD MILLION) TABLE 219 EUROPE: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024-2030 (USD MILLION) TABLE 220 EUROPE: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020-2023 (USD MILLION) TABLE 221 EUROPE: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024-2030 (USD MILLION) TABLE 222 EUROPE: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 223 EUROPE: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 224 EUROPE: LARGE LANGUAGE MODEL MARKET, BY END USER, 2020-2023 (USD MILLION) TABLE 225 EUROPE: LARGE LANGUAGE MODEL MARKET, BY END USER, 2024-2030 (USD MILLION) TABLE 226 EUROPE: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2020-2023 (USD MILLION) TABLE 227 EUROPE: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2024-2030 (USD MILLION) TABLE 228 UK: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 229 UK: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 230 GERMANY: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 231 GERMANY: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 232 FRANCE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 233 FRANCE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 234 REST OF EUROPE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 235 REST OF EUROPE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 236 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 237 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 238 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2020-2023 (USD MILLION) TABLE 239 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2024-2030 (USD MILLION) TABLE 240 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2020-2023 (USD MILLION) TABLE 241 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2024-2030 (USD MILLION) TABLE 242 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION) TABLE 243 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION) TABLE 244 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020-2023 (USD MILLION) TABLE 245 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024-2030 (USD MILLION) TABLE 246 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020-2023 (USD MILLION) TABLE 247 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024-2030 (USD MILLION) TABLE 248 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020-2023 (USD MILLION) TABLE 249 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024-2030 (USD MILLION) TABLE 250 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020-2023 (USD MILLION) TABLE 251 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024-2030 (USD MILLION) TABLE 252 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 253 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 254 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY END USER, 2020-2023 (USD MILLION) TABLE 255 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY END USER, 2024-2030 (USD MILLION) TABLE 256 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2020-2023 (USD MILLION) TABLE 257 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2024-2030 (USD MILLION) TABLE 258 CHINA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 259 CHINA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 260 INDIA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 261 INDIA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 262 JAPAN: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 263 JAPAN: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 264 SOUTH KOREA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 265 SOUTH KOREA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 266 REST OF ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 267 REST OF ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 268 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 269 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 270 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2020-2023 (USD MILLION) TABLE 271 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2024-2030 (USD MILLION) TABLE 272 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2020-2023 (USD MILLION) TABLE 273 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2024-2030 (USD MILLION) TABLE 274 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION) TABLE 275 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION) TABLE 276 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020-2023 (USD MILLION) TABLE 277 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024-2030 (USD MILLION) TABLE 278 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020-2023 (USD MILLION) TABLE 279 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024-2030 (USD MILLION) TABLE 280 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020-2023 (USD MILLION) TABLE 281 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024-2030 (USD MILLION) TABLE 282 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020-2023 (USD MILLION) TABLE 283 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024-2030 (USD MILLION) TABLE 284 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 285 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 286 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2020-2023 (USD MILLION) TABLE 287 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2024-2030 (USD MILLION) TABLE 288 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY/REGION, 2020-2023 (USD MILLION) TABLE 289 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY/REGION, 2024-2030 (USD MILLION) TABLE 290 GCC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 291 GCC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 292 SOUTH AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 293 SOUTH AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 294 TURKEY: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 295 TURKEY: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 296 REST OF MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 297 REST OF MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 298 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 299 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 300 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2020-2023 (USD MILLION) TABLE 301 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2024-2030 (USD MILLION) TABLE 302 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2020-2023 (USD MILLION) TABLE 303 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2024-2030 (USD MILLION) TABLE 304 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION) TABLE 305 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION) TABLE 306 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020-2023 (USD MILLION) TABLE 307 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024-2030 (USD MILLION) TABLE 308 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020-2023 (USD MILLION) TABLE 309 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024-2030 (USD MILLION) TABLE 310 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020-2023 (USD MILLION) TABLE 311 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024-2030 (USD MILLION) TABLE 312 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020-2023 (USD MILLION) TABLE 313 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024-2030 (USD MILLION) TABLE 314 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020-2023 (USD MILLION) TABLE 315 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024-2030 (USD MILLION) TABLE 316 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2020-2023 (USD MILLION) TABLE 317 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2024-2030 (USD MILLION) TABLE 318 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2020-2023 (USD MILLION) TABLE 319 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2024-2030 (USD MILLION) TABLE 320 BRAZIL: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 321 BRAZIL: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 322 MEXICO: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 323 MEXICO: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 324 REST OF LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020-2023 (USD MILLION) TABLE 325 REST OF LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024-2030 (USD MILLION) TABLE 326 OVERVIEW OF STRATEGIES ADOPTED BY KEY LARGE LANGUAGE MODEL VENDORS TABLE 327 LARGE LANGUAGE MODEL MARKET: DEGREE OF COMPETITION TABLE 328 REGION FOOTPRINT (18 COMPANIES) TABLE 329 APPLICATION FOOTPRINT (18 COMPANIES) TABLE 330 END-USER FOOTPRINT (18 COMPANIES) TABLE 331 MODALITY FOOTPRINT (18 COMPANIES) TABLE 332 LARGE LANGUAGE MODEL MARKET: DETAILED LIST OF KEY STARTUPS/SMES TABLE 333 LARGE LANGUAGE MODEL MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES TABLE 334 LARGE LANGUAGE MODEL MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, FEBRUARY 2021-FEBRUARY 2024 TABLE 335 LARGE LANGUAGE MODEL MARKET: DEALS, FEBRUARY 2021-FEBRUARY 2024 TABLE 336 GOOGLE: BUSINESS OVERVIEW TABLE 337 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 338 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 339 GOOGLE: DEALS TABLE 340 OPENAI: BUSINESS OVERVIEW TABLE 341 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 342 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 343 OPENAI: DEALS TABLE 344 MICROSOFT: BUSINESS OVERVIEW TABLE 345 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 346 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 347 MICROSOFT: DEALS TABLE 348 ANTHROPIC: BUSINESS OVERVIEW TABLE 349 ANTHROPIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 350 ANTHROPIC: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 351 ANTHROPIC: DEALS TABLE 352 META: BUSINESS OVERVIEW TABLE 353 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 354 META: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 355 META: DEALS TABLE 356 NVIDIA: BUSINESS OVERVIEW TABLE 357 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 358 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 359 NVIDIA: DEALS TABLE 360 IBM: BUSINESS OVERVIEW TABLE 361 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 362 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 363 IBM: DEALS TABLE 364 HPE: BUSINESS OVERVIEW TABLE 365 HPE: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 366 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 367 HPE: DEALS TABLE 368 ORACLE: BUSINESS OVERVIEW TABLE 369 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 370 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 371 ORACLE: DEALS TABLE 372 AWS: BUSINESS OVERVIEW TABLE 373 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 374 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS TABLE 375 AWS: DEALS TABLE 376 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 377 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023-2030 (USD MILLION) TABLE 378 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 379 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 380 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017-2022 (USD MILLION) TABLE 381 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023-2030 (USD MILLION) TABLE 382 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 383 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 384 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 385 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION) TABLE 386 GENERATIVE AI MARKET, BY OFFERING, 2019-2022 (USD MILLION) TABLE 387 GENERATIVE AI MARKET, BY OFFERING, 2023-2030 (USD MILLION) TABLE 388 GENERATIVE AI APPLICATION MARKET, BY BUSINESS FUNCTION, 2019-2022 (USD MILLION) TABLE 389 GENERATIVE AI APPLICATION MARKET, BY BUSINESS FUNCTION, 2023-2030 (USD MILLION) TABLE 390 GENERATIVE AI APPLICATION MARKET, BY DATA MODALITY, 2019-2022 (USD MILLION) TABLE 391 GENERATIVE AI APPLICATION MARKET, BY DATA MODALITY, 2023-2030 (USD MILLION) TABLE 392 GENERATIVE AI MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 393 GENERATIVE AI MARKET, BY REGION, 2023-2030 (USD MILLION)

FIGURE 1 LARGE LANGUAGE MODEL MARKET: RESEARCH DESIGN FIGURE 2 BREAKUP OF PRIMARY PROFILES, BY COMPANY TYPE, DESIGNATION, AND REGION FIGURE 3 KEY INSIGHTS FROM EXPERTS FIGURE 4 LARGE LANGUAGE MODEL MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES FIGURE 5 APPROACH 1 (BOTTOM-UP, SUPPLY-SIDE): REVENUE FROM VENDORS OF SOLUTIONS/SERVICES OF LARGE LANGUAGE MODELS FIGURE 6 APPROACH 2 (BOTTOM-UP, SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF LARGE LANGUAGE MODELS FIGURE 7 APPROACH 3 (BOTTOM-UP, SUPPLY-SIDE): MARKET ESTIMATION FROM ALL SOLUTIONS/SERVICES AND CORRESPONDING SOURCES FIGURE 8 APPROACH 4 (BOTTOM-UP, DEMAND-SIDE): SHARE OF LARGE LANGUAGE MODELS THROUGH OVERALL ARTIFICIAL INTELLIGENCE SPENDING FIGURE 9 DATA TRIANGULATION FIGURE 10 STUDY LIMITATIONS FIGURE 11 SOFTWARE SEGMENT TO HOLD LARGER MARKET SIZE IN 2024 FIGURE 12 GENERAL-PURPOSE LLMS TO BE DOMINANT SEGMENT, BY SOFTWARE TYPE, DURING FORECAST PERIOD FIGURE 13 CLOSED-SOURCE LLMS SEGMENT, BY SOFTWARE SOURCE CODE, TO DOMINATE MARKET IN 2024 FIGURE 14 CLOUD TO BE FASTER-GROWING DEPLOYMENT MODE DURING FORECAST PERIOD FIGURE 15 LLM DEVELOPMENT SEGMENT, BY SERVICE, TO HOLD LARGEST MARKET SHARE IN 2024 FIGURE 16 AUTOENCODING LLMS ARCHITECTURE SEGMENT SET TO REGISTER FASTEST GROWTH RATE BETWEEN 2024 AND 2030 FIGURE 17 TEXT SEGMENT, BY MODALITY, SET TO WITNESS LARGEST MARKET SHARE IN 2024 FIGURE 18 1 BILLION TO 10 BILLION PARAMETERS SEGMENT, BY MODEL SIZE, SET TO WITNESS LARGEST MARKET SHARE IN 2024 FIGURE 19 LANGUAGE TRANSLATION & LOCALIZATION SEGMENT TO BECOME FASTEST-GROWING APPLICATION DURING FORECAST PERIOD FIGURE 20 HEALTHCARE & LIFE SCIENCES TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD FIGURE 21 ASIA PACIFIC TO REGISTER HIGHEST GROWTH RATE BETWEEN 2024 AND 2030 FIGURE 22 INCREASING DEMAND FOR SOPHISTICATED NLP APPLICATIONS ACROSS DIVERSE INDUSTRIES TO BE PIVOTAL GROWTH DRIVER FIGURE 23 INFORMATION RETRIEVAL APPLICATION SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD FIGURE 24 SOFTWARE AND MEDIA & ENTERTAINMENT TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA IN 2024 FIGURE 25 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024 FIGURE 26 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: LARGE LANGUAGE MODEL MARKET FIGURE 27 VOLUME OF DATA GENERATED AND CONSUMED WORLDWIDE, 2010-2023 (ZETTABYTE) FIGURE 28 LLM PERFORMANCE TO SCALE RAPIDLY WITH SPIKE IN MODEL SIZE, 2018-2023 (BILLION PARAMETERS) FIGURE 29 USERS BECOMING INCREASINGLY ADAPTED TO CHATBOT CONVERSATIONS, 2021 VS. 2022 FIGURE 30 LARGE LANGUAGE MODEL USE CASES ACROSS ENTERPRISE SIZE, 2022 FIGURE 31 TRAINING COSTS PER MILLION PARAMETERS FOR VARIOUS GPT-3-BASED LARGE LANGUAGE MODELS FIGURE 32 SCORES OF SOME PROMINENT LLMS IN HUMAN COGNITIVE SKILLS, 2022 FIGURE 33 COMPUTE REQUIREMENTS OF SOME PROMINENT LLMS (TERAFLOP) FIGURE 34 MODEL DRIFT IN GPT-4 WITHIN 3 MONTHS (MARCH 2023 VS. JUNE 2023) FIGURE 35 EVOLUTION OF LARGE LANGUAGE MODEL MARKET FIGURE 36 LARGE LANGUAGE MODEL MARKET: VALUE CHAIN ANALYSIS FIGURE 37 LARGE LANGUAGE MODEL MARKET MAP: KEY PLAYERS FIGURE 38 LEADING LLM DEVELOPERS BY FUNDING VALUE AND FUNDING ROUNDS, 2017-2024 (USD MILLION) FIGURE 39 MOST VALUED LLM DEVELOPERS, 2023 (USD BILLION) FIGURE 40 INVESTMENTS IN LARGE LANGUAGE MODEL OPERATIONS (LLMOPS), BY CATEGORY, 2023 (USD MILLION) FIGURE 41 LARGE LANGUAGE MODEL MARKET DEAL COUNT AND DEAL VALUE, Q1 2021-Q3 2023 (USD MILLION) FIGURE 42 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2013-2023 FIGURE 43 TOP 10 APPLICANTS IN LARGE LANGUAGE MODEL MARKET, 2013-2023 FIGURE 44 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013-2023 FIGURE 45 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOFTWARE TYPE FIGURE 46 EXPORT VALUE OF COMPUTER SOFTWARE, BY KEY COUNTRY, 2015-2022 (USD BILLION) FIGURE 47 IMPORT VALUE OF COMPUTER SOFTWARE, BY KEY COUNTRY, 2015-2022 (USD BILLION) FIGURE 48 PORTER’S FIVE FORCES ANALYSIS: LARGE LANGUAGE MODEL MARKET FIGURE 49 TECHNOLOGY ROADMAP FOR LARGE LANGUAGE MODEL MARKET FIGURE 50 LARGE LANGUAGE MODEL: BUSINESS MODELS FIGURE 51 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES FIGURE 52 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR KEY END USERS FIGURE 53 KEY BUYING CRITERIA FOR TOP THREE END USERS FIGURE 54 SOFTWARE SEGMENT TO REGISTER LARGER MARKET SHARE IN 2024 FIGURE 55 DOMAIN-SPECIFIC LLMS TO BE FASTEST-GROWING SEGMENT BETWEEN 2024 AND 2030 FIGURE 56 CLOSED-SOURCE LLMS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2024 FIGURE 57 CLOUD SEGMENT TO HOLD LARGER MARKET SHARE IN 2024 FIGURE 58 LLM FINE-TUNING SERVICES TO REGISTER HIGHEST GROWTH RATE IN LARGE LANGUAGE MODEL MARKET BETWEEN 2024 AND 2030 FIGURE 59 AUTOENCODING LLMS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 60 VIDEO MODALITY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 61 200 BILLION TO 500 BILLION PARAMETERS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 62 PROMINENT LLMS BELOW 1 BILLION PARAMETERS FIGURE 63 PROMINENT LLMS BETWEEN 1 BILLION AND 10 BILLION PARAMETERS FIGURE 64 PROMINENT LLMS BETWEEN 10 BILLION AND 50 BILLION PARAMETERS FIGURE 65 PROMINENT LLMS BETWEEN 50 BILLION AND 100 BILLION PARAMETERS FIGURE 66 PROMINENT LLMS BETWEEN 100 BILLION AND 200 BILLION PARAMETERS FIGURE 67 PROMINENT LLMS BETWEEN 200 BILLION AND 500 BILLION PARAMETERS FIGURE 68 PROMINENT LLMS ABOVE 500 BILLION PARAMETERS FIGURE 69 LANGUAGE TRANSLATION & LOCALIZATION APPLICATION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 70 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 71 IT/ITES: KEY USE CASES FIGURE 72 HEALTHCARE & LIFE SCIENCES: KEY USE CASES FIGURE 73 LAW FIRMS: KEY USE CASES FIGURE 74 BFSI: KEY USE CASES FIGURE 75 MANUFACTURING: KEY USE CASES FIGURE 76 EDUCATION: KEY USE CASES FIGURE 77 RETAIL & ECOMMERCE: KEY USE CASES FIGURE 78 MEDIA & ENTERTAINMENT: KEY USE CASES FIGURE 79 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD FIGURE 80 INDIA TO REGISTER HIGHEST GROWTH RATE IN LARGE LANGUAGE MODEL MARKET DURING FORECAST PERIOD FIGURE 81 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET SNAPSHOT FIGURE 82 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET SNAPSHOT FIGURE 83 TOP 5 PUBLIC PLAYERS DOMINATED MARKET IN LAST 4 YEARS FIGURE 84 SHARE OF LEADING COMPANIES IN LARGE LANGUAGE MODEL MARKET, 2023 FIGURE 85 PRODUCT COMPARATIVE ANALYSIS, BY GENERAL-PURPOSE LLM FIGURE 86 PRODUCT COMPARATIVE ANALYSIS, BY DOMAIN-SPECIFIC LLM FIGURE 87 PRODUCT COMPARATIVE ANALYSIS, BY OPEN-SOURCE LLM (1/2) FIGURE 88 PRODUCT COMPARATIVE ANALYSIS, BY OPEN-SOURCE LLM (2/2) FIGURE 89 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS FIGURE 90 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS FIGURE 91 LARGE LANGUAGE MODEL MARKET: COMPANY EVALUATION MATRIX, 2023 FIGURE 92 COMPANY FOOTPRINT (18 COMPANIES) FIGURE 93 LARGE LANGUAGE MODEL MARKET: STARTUP/SME EVALUATION MATRIX, 2023 FIGURE 94 GOOGLE: COMPANY SNAPSHOT FIGURE 95 MICROSOFT: COMPANY SNAPSHOT FIGURE 96 META: COMPANY SNAPSHOT FIGURE 97 NVIDIA: COMPANY SNAPSHOT FIGURE 98 IBM: COMPANY SNAPSHOT FIGURE 99 HPE: COMPANY SNAPSHOT FIGURE 100 ORACLE: COMPANY SNAPSHOT FIGURE 101 AWS: COMPANY SNAPSHOT

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