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検索拡張生成（RAG）市場規模、シェア、動向分析レポート：機能別、用途別、最終用途別、地域別、展開別、最終用途別　セグメント予測、2025年～2030年

Retrieval Augmented Generation Market Size, Share & Trend Analysis Report By Function, By Application, By Deployment, By End Use, By Region, And Segment Forecasts, 2025 - 2030

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
価格
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=143.73円
検索拡張生成（RAG）市場規模、シェア、動向分析レポート：機能別、用途別、最終用途別、地域別、展開別、最終用途別　セグメント予測、2025年～2030年
出版日: 2025年04月01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：

世界の検索拡張生成（RAG）市場規模は2024年に12億米ドルと推計され、2025年から2030年にかけてCAGR 49.1％で成長すると予測されています。

検索拡張生成市場は、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のようなジェネレーティブAIツールの台頭は、検索メカニズムでAIツールを強化することに関心を呼び起こしました。RAGは特に精度が要求される用途に適しており、企業にとって魅力的です。この需要は、多様な使用事例のためにRAGフレームワークを改善する研究開発を後押ししています。

検索拡張生成（RAG）市場は、生成機能と正確なリアルタイムのデータ検索を組み合わせた高度なAIソリューションに対する需要の高まりによって、大きな成長を遂げています。主な促進要因の1つは、ヘルスケア、金融、カスタマーサービスなど、正確性と文脈を考慮した対応が重要な業界全体で大規模言語モデル（LLM）の採用が増加していることです。さらに、生成的なAI出力における幻覚を減らす必要性により、組織は、外部知識ソースを活用して応答品質を向上させるRAGシステムの統合を推進しています。企業データの80％以上を占めると推定される非構造化データの急増は、関連情報を効率的に抽出・合成するRAGソリューションへの需要をさらに高めています。

その可能性にもかかわらず、RAG市場はいくつかの課題に直面しています。RAGモデルのトレーニングや導入に伴う高い計算コストは、中小企業にとって障壁となっています。また、RAGシステムを既存のITインフラと統合することの複雑さも、特にレガシーシステムを持つ組織での採用を制限しています。特にヘルスケアや金融のような規制産業では、データのプライバシーとセキュリティに関する懸念がさらなるハードルとなっています。RAGモデルは膨大なデータセットへのアクセスを必要とするため、コンプライアンス上のリスクが高まる。さらに、RAGのパフォーマンスを評価するための標準化されたフレームワークがないため、企業はROIを定量化するのに苦労し、普及が遅れています。

RAG市場は、特に高精度のAIソリューションを必要とする分野において、大きなビジネスチャンスをもたらします。例えばヘルスケア業界では、RAGを活用して医学文献をリアルタイムで検索・合成することで診断精度を高めることができます。eコマースでは、RAGは商品データベースに動的にアクセスすることで、顧客とのやり取りをパーソナライズすることができます。エッジAIと連携学習への注目の高まりは、待ち時間を短縮し、データプライバシーを改善したRAGモデルを展開する新たな道を開きます。アナリストによると、AIを活用した知識管理システムへの投資は増加し、RAGが中心的な役割を果たすと予想されています。AIベンダーと特定の分野に特化した企業とのコラボレーションは、ニッチ市場向けにカスタマイズされたソリューションを生み出し、イノベーションをさらに推進すると思われます。

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 検索拡張生成（RAG）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
  • 検索拡張生成（RAG）市場分析ツール
    • ポーター分析
    • PESTEL分析

第4章 検索拡張生成（RAG）市場：機能推定・動向分析

  • セグメントダッシュボード
  • 検索拡張生成（RAG）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
  • レコメンデーションエンジン

第5章 検索拡張生成（RAG）市場：用途別　推定・動向分析

  • セグメントダッシュボード
  • 検索拡張生成（RAG）市場：アプリケーション変動分析、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＆セールス
  • 研究開発
  • コンテンツ生成

第6章 回収型拡張発電（RAG）市場：展開別　推定・動向分析

  • セグメントダッシュボード
  • 回収型拡張発電（RAG）市場：導入変動分析、2023年および2030年
  • クラウド
  • オンプレミス

第7章 回収型拡張発電（RAG）市場：最終用途別　推定・動向分析

  • セグメントダッシュボード
  • 回収型拡張発電（RAG）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・通信
  • 教育
  • メディア＆エンターテインメント
  • その他

第8章 RAG（Retrieval Augmented Generation）市場：地域推定・動向分析

  • 回収型拡張発電（RAG）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/上場企業
    • 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)Regional marketplace: Key takeaways
  • 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 1.2 billion in 2024 and is projected to grow at a CAGR of 49.1% from 2025 to 2030. The retrieval augmented generation market is growing rapidly due to advancements in natural language processing (NLP) and the increasing need for intelligent AI systems. 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. 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.

The Retrieval-Augmented Generation (RAG) market is experiencing significant growth, driven by the increasing demand for advanced AI solutions that combine generative capabilities with accurate, real-time data retrieval. One key driver is the rising adoption of large language models (LLMs) across industries such as healthcare, finance, and customer service, where accuracy and context-aware responses are critical. Additionally, the need for reducing hallucinations in generative AI outputs is pushing organizations to integrate RAG systems, which leverage external knowledge sources to improve response quality. The proliferation of unstructured data, estimated to constitute over 80% of enterprise data, further fuels the demand for RAG solutions to extract and synthesize relevant information efficiently.

Despite its potential, the RAG market faces several challenges. High computational costs associated with training and deploying RAG models pose a barrier for small and medium-sized enterprises (SMEs). The complexity of integrating RAG systems with existing IT infrastructure also limits adoption, particularly in organizations with legacy systems. Data privacy and security concerns, especially in regulated industries like healthcare and finance, present additional hurdles, as RAG models require access to vast datasets, raising compliance risks. Furthermore, the lack of standardized frameworks for evaluating RAG performance slows down widespread implementation as businesses struggle to quantify ROI.

The RAG market presents substantial opportunities, particularly in sectors requiring high-precision AI solutions. The healthcare industry, for instance, can leverage RAG to enhance diagnostic accuracy by retrieving and synthesizing medical literature in real-time. In e-commerce, RAG can personalize customer interactions by dynamically accessing product databases. The growing focus on edge AI and federated learning opens new avenues for deploying RAG models with reduced latency and improved data privacy. According to analysts, investments in AI-powered knowledge management systems are expected to rise, with RAG playing a central role. Collaborations between AI vendors and domain-specific enterprises will further drive innovation, creating tailored solutions for niche markets.

Global Retrieval Augmented Generation Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of 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