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RAG（検索拡張生成）の市場規模、シェア、動向分析レポート：機能別、用途別、展開別、最終用途別、地域別、セグメント別予測、2024年～2030年

Retrieval Augmented Generation Market Size, Share & Trends Analysis Report By Function, By Application, By Deployment (Cloud, On-premises), By End-use (Healthcare, Education), By Region, And Segment Forecasts, 2024 - 2030
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出版日
ページ情報
英文 150 Pages
納期
2～10営業日
カスタマイズ可能
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.08円
RAG（検索拡張生成）の市場規模、シェア、動向分析レポート：機能別、用途別、展開別、最終用途別、地域別、セグメント別予測、2024年～2030年
出版日: 2024年09月13日
発行: Grand View Research
ページ情報: 英文 150 Pages
納期: 2～10営業日
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  • 概要
  • 図表
  • 目次
概要

市場規模と動向：

世界のRAG（検索拡張生成）の市場規模は2023年に10億4,270万米ドルと推計され、2024年から2030年にかけてCAGR 44.7％で成長すると予測されています。

自然言語処理（NLP）の進歩とインテリジェントAIシステムのニーズの高まりにより、市場は急成長しています。検索ベースのアプローチと生成機能を組み合わせたRAG（検索拡張生成）モデルは、顧客サービス、コンテンツ生成、調査などの業界で普及しています。これらのモデルは、外部データソースにアクセスすることで精度を高め、AIがより適切でコンテキストを意識した応答を生成できるようにします。

企業は、高いレベルのコンテンツ品質を維持しながら、複雑なワークフローを自動化するためにRAGに注目しています。ChatGPTのような生成的AIツールの台頭は、検索メカニズムでAIを強化することに関心を呼び起こしました。RAG（検索拡張生成）は、特に精度を必要とするアプリケーションに適しており、企業にとって魅力的なものとなっています。この需要は、多様な使用事例に対応するRAGフレームワークの改良に向けた研究開発を後押ししています。

ヘルスケア、金融、法律サービスなどの分野で特殊なタスクを処理する可能性を企業が認識しているため、企業での採用がRAG拡大の大きな原動力となっています。RAGシステムは、専門家がリアルタイムでデータ駆動型の意思決定を行えるようにするため、独自のデータベースから情報を検索・生成するのに役立っています。企業は、チャットボット、バーチャルアシスタント、ナレッジマネジメントシステムに統合することで、顧客体験や社内業務を改善するためにこれらのモデルに投資しています。また、クラウドベースのAIプラットフォームが利用可能になったことで、企業はRAGソリューションをさまざまな部門に拡大することが容易になっています。その結果、ニッチな要件に対応するためにこれらのモデルを採用する企業が増えています。ドメインに特化したデータセットの質と可用性の向上が、この成長をさらに後押ししています。RAGモデルは意思決定とコンテンツ配信を改善するため、その影響は大きいです。

RAG（検索拡張生成）市場の競合は激化しており、既存の技術大手も新興企業も同様に、優位に立つために高度なアーキテクチャを開発しています。クラウドサービスプロバイダーは、検索と生成の両プロセスをスピードと精度のために最適化することで、RAGの提供を強化しています。また、オープンソースのRAGフレームワークへの関心も高まっており、中小企業や開発者が特定のニーズに基づいてソリューションをカスタマイズできるようになっています。このような革新的な技術により、RAGの業界全体への普及が加速し、より広範なビジネスへのアクセスが可能になっています。リアルタイム更新や動的ソースからのプル機能などの新機能は、RAGの使用事例を拡大しています。競合情勢は、RAGモデルの性能の継続的な改善により、急速な技術革新を促しています。全体として、企業がRAGの価値をますます認識するにつれて、この市場は今後数年間で大幅な成長を遂げるでしょう。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 RAG（検索拡張生成）市場の変数、動向、範囲

  • 市場イントロダクション/系統展望
  • 市場力学
    • 市場 促進要因分析
    • 市場抑制要因分析
    • 業界の課題
  • RAG（検索拡張生成）市場分析ツール
    • ポーターの分析
    • PESTEL分析

第4章 RAG（検索拡張生成）市場：機能の推定・動向分析

  • セグメントダッシュボード
  • RAG（検索拡張生成）市場：機能変動分析、2023年および2030年
  • 文書検索
  • レスポンス生成
  • 要約とレポート
  • 推奨エンジン

第5章 RAG（検索拡張生成）市場：用途の推定・動向分析

  • セグメントダッシュボード
  • RAG（検索拡張生成）市場：用途変動分析、2023年および2030年
  • ナレッジマネジメント
  • カスタマーサポートとチャットボット
  • 法務およびコンプライアンス
  • カスタマーサポートとチャットボット
  • マーケティングとセールス
  • 研究開発
  • コンテンツ生成

第6章 RAG（検索拡張生成）市場：展開の推定・動向分析

  • セグメントダッシュボード
  • RAG（検索拡張生成）市場：展開変動分析、2023年および2030年
  • クラウド
  • オンプレミス

第7章 RAG（検索拡張生成）市場：最終用途の推定・動向分析

  • セグメントダッシュボード
  • RAG（検索拡張生成）市場：最終用途変動分析、2023年および2030年
  • ヘルスケア
  • 金融サービス
  • 小売・eコマース
  • ITおよび通信
  • 教育
  • メディアとエンターテイメント
  • その他

第8章 RAG（検索拡張生成）市場：地域の推定・動向分析

  • RAG（検索拡張生成）市場シェア、地域別、2023年および2030年
  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • 英国
    • ドイツ
    • フランス
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • 韓国
    • オーストラリア
  • ラテンアメリカ
    • ブラジル
  • 中東およびアフリカ
    • サウジアラビア
    • アラブ首長国連邦
    • 南アフリカ

第9章 競合情勢

  • 企業分類
  • 企業の市場ポジショニング
  • 参入企業の概要
  • 財務実績
  • 機能ベンチマーク
  • 企業ヒートマップ分析
  • 戦略マッピング
  • 企業プロファイル/リスト
    • Anthropic
    • Amazon Web Services Inc.
    • Clarifai
    • Cohere
    • Google DeepMind
    • Hugging Face
    • IBM Watson
    • Informatica
    • Meta AI（Facebook AI）
    • Microsoft
    • Neeva
    • OpenAI
    • Semantic Scholar（AI2）
図表

List of Tables

  • Table 1 Global Retrieval Augmented Generation (RAG) Market by function, 2020 - 2030 (USD Million)
  • Table 2 Global Retrieval Augmented Generation (RAG) Market by application, 2020 - 2030 (USD Million)
  • Table 3 Global Retrieval Augmented Generation (RAG) Market by deployment, 2020 - 2030 (USD Million)
  • Table 4 Global Retrieval Augmented Generation (RAG) Market by end use, 2020 - 2030 (USD Million)
  • Table 5 Global Retrieval Augmented Generation (RAG) Market by region, 2020 - 2030 (USD Million)
  • Table 6 North America Retrieval Augmented Generation (RAG) Market by country, 2020 - 2030 (USD Million)
  • Table 7 Europe Retrieval Augmented Generation (RAG) Market by country, 2020 - 2030 (USD Million)
  • Table 8 Asia Pacific Retrieval Augmented Generation (RAG) Market by country, 2020 - 2030 (USD Million)
  • Table 9 Latin America Retrieval Augmented Generation (RAG) Market by country, 2020 - 2030 (USD Million)
  • Table 10 MEA Retrieval Augmented Generation (RAG) Market by country, 2020 - 2030 (USD Million)
  • Table 11 Key companies launching new products/Response Generation
  • Table 12 Key companies engaged in mergers & acquisition
  • Table 13 Key companies engaged in Research & development
  • Table 14 Key Companies engaged in expansion

List of Figures

  • Fig. 1 Retrieval Augmented Generation (RAG) Market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Market formulation & validation
  • Fig. 7 Retrieval Augmented Generation (RAG) Market snapshot
  • Fig. 8 Retrieval Augmented Generation (RAG) Market segment snapshot
  • Fig. 9 Retrieval Augmented Generation (RAG) Market competitive landscape snapshot
  • Fig. 10 Market driver impact analysis
  • Fig. 11 Market restraint impact analysis
  • Fig. 12 Retrieval Augmented Generation (RAG) Market, Function outlook key takeaways (USD Million)
  • Fig. 13 Retrieval Augmented Generation (RAG) Market: Function movement analysis 2024 & 2030 (USD Million)
  • Fig. 14 Document Retrieval market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 15 Response Generation market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 16 Summarization & Reporting market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 17 Recommendation Engines market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 18 Retrieval Augmented Generation (RAG) Market: Application outlook key takeaways (USD Million)
  • Fig. 19 Retrieval Augmented Generation (RAG) Market: Application movement analysis 2024 & 2030 (USD Million)
  • Fig. 20 Knowledge Management market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 21 Customer Support & Chatbots market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 22 Legal & Compliance market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 23 Marketing & Sales market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 24 Research & Development market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 25 Content Generation market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 26 Retrieval Augmented Generation (RAG) Market: Deployment outlook key takeaways (USD Million)
  • Fig. 27 Retrieval Augmented Generation (RAG) Market: Deployment movement analysis 2024 & 2030 (USD Million)
  • Fig. 28 Cloud market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 29 On-premises market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 30 Retrieval Augmented Generation (RAG) Market: end use outlook key takeaways (USD Million)
  • Fig. 31 Retrieval Augmented Generation (RAG) Market: end use movement analysis 2024 & 2030 (USD Million)
  • Fig. 32 Healthcare market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 33 Financial Services market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 34 Retail & E-commerce market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 35 IT & Telecommunications market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 36 Education market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 37 Media & Entertainment market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 38 Others market revenue estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 39 Retrieval Augmented Generation (RAG) Market: Regional outlook, 2024 & 2030 (USD Million)
  • Fig. 40 North America Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 41 U.S. Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 42 Canada Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 43 Mexico Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 44 Europe Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 45 UK Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 46 Germany Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 47 France Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 48 Asia Pacific Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 49 China Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 50 Japan Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 51 India Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 52 South Korea Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 53 Australia Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 54 Latin America Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 55 Brazil Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 56 MEA Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 57 KSA Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 58 UAE Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 59 South Africa Retrieval Augmented Generation (RAG) Market estimates and forecasts, 2020 - 2030 (USD Million)
  • Fig. 60 Company Categorization
  • Fig. 61 Company Market Positioning
  • Fig. 62 Strategy framework
目次
Product Code: GVR-4-68040-454-6

Market Size & Trends:

The global retrieval augmented generation market size was estimated at USD 1,042.7 million in 2023 and is projected to grow at a CAGR of 44.7% from 2024 to 2030. The market is growing rapidly due to advancements in natural language processing (NLP) and the increasing need for intelligent AI systems. Retrieval augmented generation (RAG) models, which combine retrieval-based approaches with generative capabilities, are becoming popular in industries such as customer service, content generation, and research. These models offer enhanced accuracy by accessing external data sources, allowing AI to generate more relevant, context-aware responses.

Companies are turning to RAG to automate complex workflows while maintaining a high level of content quality. The rise of generative AI tools such as ChatGPT has sparked interest in enhancing them with retrieval mechanisms. Retrieval augmented generation (RAG) is particularly suited for applications requiring precision, making it appealing for businesses. This demand is pushing research and development efforts to improve RAG frameworks for diverse use cases.

Enterprise adoption is a significant driver of RAG's expansion as businesses recognize its potential to handle specialized tasks in fields such as healthcare, finance, and legal services. RAG systems are proving valuable for retrieving and generating information from proprietary databases, allowing professionals to make real-time, data-driven decisions. Companies are investing in these models to improve customer experiences and internal operations by integrating them into chatbots, virtual assistants, and knowledge management systems. The availability of cloud-based AI platforms is also making it easier for enterprises to scale RAG solutions across various departments. As a result, more organizations are adopting these models to handle niche requirements. The rising quality and availability of domain-specific datasets further support this growth. The impact is profound, with RAG models improving decision-making and content delivery.

Competition in the retrieval augmented generation market is intensifying as established tech giants and startups alike develop advanced architectures to stay ahead. Cloud service providers are enhancing their RAG offerings by optimizing both retrieval and generation processes for speed and accuracy. There is also a rising interest in open-source RAG frameworks, allowing smaller companies and developers to customize their solutions based on specific needs. This innovation is accelerating RAG's adoption across industries and making it more accessible to a broader range of businesses. New features, such as real-time updating and the ability to pull from dynamic sources, are expanding RAG's use cases. The competitive landscape is fueling rapid innovation, with continuous improvements in RAG model performance. Overall, this market is set to experience substantial growth over the coming years as businesses increasingly recognize its value.

Global Retrieval Augmented Generation Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and analyzes the latest industry trends in each of the sub-segments from 2020 to 2030. For this study, Grand View Research has segmented the global retrieval-augmented generation market report based on function, application, deployment, end-use, and region.

  • Function Outlook (Revenue, USD Million, 2020 - 2030)
  • Document Retrieval
  • Response Generation
  • Summarization & Reporting
  • Recommendation Engines
  • Application Outlook (Revenue, USD Million, 2020 - 2030)
  • Knowledge Management
  • Customer Support & Chatbots
  • Legal & Compliance
  • Marketing & Sales
  • Research & Development
  • Content Generation
  • Deployment Outlook (Revenue, USD Million, 2020 - 2030)
  • Cloud
  • On-premises
  • End-use Outlook (Revenue, USD Million, 2020 - 2030)
  • Healthcare
  • Financial Services
  • Retail & E-commerce
  • IT & Telecommunications
  • Education
  • Media & Entertainment
  • Others
  • Regional Outlook (Revenue, USD Million, 2020 - 2030)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
  • Latin America
    • Brazil
  • Middle East and Africa (MEA)
    • KSA
    • UAE
    • South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definition
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. Retrieval Augmented Generation (RAG) Market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
    • 3.2.2. Market Restraint Analysis
    • 3.2.3. Industry Challenge
  • 3.3. Retrieval Augmented Generation (RAG) Market Analysis Tools
    • 3.3.1. Porter's Analysis
    • 3.3.2. PESTEL Analysis

Chapter 4. Retrieval Augmented Generation (RAG) Market: Function Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Retrieval Augmented Generation (RAG) Market: Function Movement Analysis, 2023 & 2030 (USD Million)
  • 4.3. Document Retrieval
    • 4.3.1. Document Retrieval Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 4.4. Response Generation
    • 4.4.1. Response Generation Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 4.5. Summarization & Reporting
    • 4.5.1. Summarization & Reporting Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 4.6. Recommendation Engines
    • 4.6.1. Recommendation Engines Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)

Chapter 5. Retrieval Augmented Generation (RAG) Market: Application Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Retrieval Augmented Generation (RAG) Market: Application Movement Analysis, 2023 & 2030 (USD Million)
  • 5.3. Knowledge Management
    • 5.3.1. Knowledge Management Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 5.4. Customer Support & Chatbots
    • 5.4.1. Customer Support & Chatbots Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 5.5. Legal & Compliance
    • 5.5.1. Legal & Compliance Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 5.6. Customer Support & Chatbots
    • 5.6.1. Customer Support & Chatbots Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 5.7. Marketing & Sales
    • 5.7.1. Marketing & Sales Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 5.8. Research & Development
    • 5.8.1. Research & Development Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 5.9. Content Generation
    • 5.9.1. Content Generation Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)

Chapter 6. Retrieval Augmented Generation (RAG) Market: Deployment Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Retrieval Augmented Generation (RAG) Market: Deployment Movement Analysis, 2023 & 2030 (USD Million)
  • 6.3. Cloud
    • 6.3.1. Cloud Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 6.4. On-premises
    • 6.4.1. On-premises Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)

Chapter 7. Retrieval Augmented Generation (RAG) Market: End Use Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. Retrieval Augmented Generation (RAG) Market: End Use Movement Analysis, 2023 & 2030 (USD Million)
  • 7.3. Healthcare
    • 7.3.1. Healthcare Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 7.4. Financial Services
    • 7.4.1. Financial Services Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 7.5. Retail & E-commerce
    • 7.5.1. Retail & E-commerce Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 7.6. IT & Telecommunications
    • 7.6.1. IT & Telecommunications Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 7.7. Education
    • 7.7.1. Education Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 7.8. Media & Entertainment
    • 7.8.1. Media & Entertainment Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 7.9. Others
    • 7.9.1. Others Retrieval Augmented Generation (RAG) Market Revenue Estimates and Forecasts, 2020 - 2030 (USD Million)

Chapter 8. Retrieval Augmented Generation (RAG) Market: Regional Estimates & Trend Analysis

  • 8.1. Retrieval Augmented Generation (RAG) Market Share, By Region, 2023 & 2030 (USD Million)
  • 8.2. North America
    • 8.2.1. North America Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.2.2. U.S.
      • 8.2.2.1. U.S. Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.2.3. Canada
      • 8.2.3.1. Canada Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.2.4. Mexico
      • 8.2.4.1. Mexico Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 8.3. Europe
    • 8.3.1. Europe Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.3.2. UK
      • 8.3.2.1. UK Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.3.3. Germany
      • 8.3.3.1. Germany Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.3.4. France
      • 8.3.4.1. France Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 8.4. Asia Pacific
    • 8.4.1. Asia Pacific Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.4.2. China
      • 8.4.2.1. China Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.4.3. Japan
      • 8.4.3.1. Japan Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.4.4. India
      • 8.4.4.1. India Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.4.5. South Korea
      • 8.4.5.1. South Korea Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.4.6. Australia
      • 8.4.6.1. Australia Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 8.5. Latin America
    • 8.5.1. Latin America Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.5.2. Brazil
      • 8.5.2.1. Brazil Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
  • 8.6. Middle East and Africa
    • 8.6.1. Middle East and Africa Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.6.2. KSA
      • 8.6.2.1. KSA Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.6.3. UAE
      • 8.6.3.1. UAE Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)
    • 8.6.4. South Africa
      • 8.6.4.1. South Africa Retrieval Augmented Generation (RAG) Market Estimates and Forecasts, 2020 - 2030 (USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Company Categorization
  • 9.2. Company Market Positioning
  • 9.3. Participant's Overview
  • 9.4. Financial Performance
  • 9.5. Function Benchmarking
  • 9.6. Company Heat Map Analysis
  • 9.7. Strategy Mapping
  • 9.8. Company Profiles/Listing
    • 9.8.1. Anthropic
      • 9.8.1.1. Participant's Overview
      • 9.8.1.2. Financial Performance
      • 9.8.1.3. Product Benchmarking
      • 9.8.1.4. Recent Developments
    • 9.8.2. Amazon Web Services Inc.
      • 9.8.2.1. Participant's Overview
      • 9.8.2.2. Financial Performance
      • 9.8.2.3. Product Benchmarking
      • 9.8.2.4. Recent Developments
    • 9.8.3. Clarifai
      • 9.8.3.1. Participant's Overview
      • 9.8.3.2. Financial Performance
      • 9.8.3.3. Product Benchmarking
      • 9.8.3.4. Recent Developments
    • 9.8.4. Cohere
      • 9.8.4.1. Participant's Overview
      • 9.8.4.2. Financial Performance
      • 9.8.4.3. Product Benchmarking
      • 9.8.4.4. Recent Developments
    • 9.8.5. Google DeepMind
      • 9.8.5.1. Participant's Overview
      • 9.8.5.2. Financial Performance
      • 9.8.5.3. Product Benchmarking
      • 9.8.5.4. Recent Developments
    • 9.8.6. Hugging Face
      • 9.8.6.1. Participant's Overview
      • 9.8.6.2. Financial Performance
      • 9.8.6.3. Product Benchmarking
      • 9.8.6.4. Recent Developments
    • 9.8.7. IBM Watson
      • 9.8.7.1. Participant's Overview
      • 9.8.7.2. Financial Performance
      • 9.8.7.3. Product Benchmarking
      • 9.8.7.4. Recent Developments
    • 9.8.8. Informatica
      • 9.8.8.1. Participant's Overview
      • 9.8.8.2. Financial Performance
      • 9.8.8.3. Product Benchmarking
      • 9.8.8.4. Recent Developments
    • 9.8.9. Meta AI (Facebook AI)
      • 9.8.9.1. Participant's Overview
      • 9.8.9.2. Financial Performance
      • 9.8.9.3. Product Benchmarking
      • 9.8.9.4. Recent Developments
    • 9.8.10. Microsoft
      • 9.8.10.1. Participant's Overview
      • 9.8.10.2. Financial Performance
      • 9.8.10.3. Product Benchmarking
      • 9.8.10.4. Recent Developments
    • 9.8.11. Neeva
      • 9.8.11.1. Participant's Overview
      • 9.8.11.2. Financial Performance
      • 9.8.11.3. Product Benchmarking
      • 9.8.11.4. Recent Developments
    • 9.8.12. OpenAI
      • 9.8.12.1. Participant's Overview
      • 9.8.12.2. Financial Performance
      • 9.8.12.3. Product Benchmarking
      • 9.8.12.4. Recent Developments
    • 9.8.13. Semantic Scholar (AI2)
      • 9.8.13.1. Participant's Overview
      • 9.8.13.2. Financial Performance
      • 9.8.13.3. Product Benchmarking
      • 9.8.13.4. Recent Developments