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市場調查報告書
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1747321

搜尋擴張生成(RAG)市場:現狀分析與預測(2025-2033年)

Retrieval Augmented Generation Market: Current Analysis and Forecast (2025-2033)
出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 140 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計在預測期內（2025-2033 年），搜尋增強產生 (RAG) 市場將以約 32.1% 的速度成長。雖然亞太地區大多數國家/地區都將採用搜尋增強生成 (RAG)，但中國和印度將引領該技術的部署。中國經濟在政府的人工智慧援助和大量數據收集的推動下不斷發展，從而推動了企業快速的數位轉型。印度的科技業得到了政府數位化計畫和持續的人工智慧資助計畫的支持，從而鞏固了其在人工智慧發展中的領導地位。這些國家正在快速採用 RAG 技術，引領新興技術的發展。隨著對準確且可擴展的人工智慧解決方案的需求持續增長，全球企業組織都需要準確且可擴展的人工智慧應用程式來管理即時數據。

根據部署方式，市場細分為雲端部署和本地部署，其中雲端部署佔據市場主導地位。雲端運算領域 RAG 市場的主要收入驅動力源自於企業對彈性 AI 部署解決方案日益增長的需求。雲端基礎設施透過營運租賃而非巨額資本支出，為企業提供高效率的運算資源，從而能夠大規模部署像 RAG 這樣的複雜 AI 系統。 RAG 的特點是易於訪問，支援快速部署和輕鬆維護，這使得 RAG 技術更容易在各個組織中應用。雲端平台的資料儲存和處理能力仍然至關重要，因為 RAG 模型必須處理其所需的大量非結構化資料。

根據應用領域，市場細分為客戶支援和聊天機器人、內容生成、搜尋引擎增強、醫療資訊檢索和其他。其中，客戶支援和聊天機器人是檢索增強生成 (RAG) 行業的最大貢獻者。檢索增強生成 (RAG) 的主要成長領域是客戶支援和聊天機器人，因為企業尋求與客戶互動情境相關的快速準確的答案。傳統聊天機器人與搜尋增強生成 (RAG) 功能協同工作，從知識庫和文件中檢索正確資料並產生回應。這些功能提供真實的人際互動，從而提高客戶滿意度和公司忠誠度。基於 RAG 的聊天機器人使公司能夠自動化營運擴展，最大限度地降低營運成本，同時保持電子商務、銀行、電信和 IT 服務領域的標準服務交付。

根據最終用戶，市場細分為 IT 和電信、商業、金融服務和保險 (BFSI)、醫療保健、零售和電子商務、教育和其他。其中，IT 和電信業對搜尋增強生成 (RAG) 產業的貢獻最大。推動 IT 和電信公司進入 RAG 市場的主要力量源於對增強知識系統和​​自動化營運的持續追求。 IT 和電信公司廣泛使用 RAG 來分析包括技術文件、服務記錄以及客戶互動資訊在內的大型資料集，以改善內部系統管理和自動工單處理，並為使用者和員工提供精準的即時支援。許多組織正在採用搜尋增強生成 (RAG) 模型來快速存取重要訊息，提高營運效率，同時提升服務速度。 IT 基礎架構管理領域的公司正以指數級的速度採用 RAG 解決方案，將人工智慧虛擬助理與管理工具中的智慧搜尋功能結合。

為了更了解搜尋增強生成 (RAG) 的市場應用情況，我們根據其在北美（美國、加拿大和其他北美地區）、歐洲（德國、英國、法國、西班牙、義大利和其他歐洲地區）、亞太地區（中國、日本、印度和其他亞太地區）以及世界其他地區的全球分佈對市場進行了分析。在所有地區中，亞太地區的 RAG 市場正以指數級的速度擴張，這得益於數位化趨勢、人工智慧的日益普及以及包括中國、印度、日本和東南亞國家在內的各國 IT 基礎設施的不斷擴展。亞太地區的政府和企業正大力支持人工智慧發展，希望透過為銀行客戶和醫療機構打造自動化系統，以及在銀行、醫療、電商和教育領域應用產業應用，以增強數據分析能力。新創公司、業務拓展和公私合作項目正在攜手推動人工智慧和資料治理 (RAG) 創新。在亞太地區，多語言資料和非結構化資料的激增，催生了對智慧資料搜尋解決方案的迫切需求。豐富的人力資源和完善的人工智慧監管體系，使中國與印度並駕齊驅，成為人工智慧產業的領導者。全球企業需要經濟高效、可擴展的解決方案來管理知識並提供個人化的數位化交付，因此，亞太地區將成為全球RAG市場擴張的驅動力。

市場的主要參與者包括亞馬遜網路服務公司 (AWS)、IBM 公司、NVIDIA 公司、Clarifai 公司、Google有限責任公司、Informatica 公司、Meta Platforms 公司、微軟公司、OpenAI 有限責任公司和 Databricks 公司。

目錄

第一章：市場簡介

  • 市場定義
  • 主要目的
  • 相關利益者
  • 限制事項

第2章 調查手法或前提條件

  • 調查流程
  • 調查手法
  • 受訪者簡介

第3章 摘要整理

  • 產業摘要
  • 各市場區隔預測
    • 市場成長的強度
  • 地區展望

第4章 市場動態

  • 促進因素
  • 機會
  • 阻礙因素
  • 趨勢
  • PESTEL分析
  • 需求面分析
  • 供給方面分析
    • 合併和收購
    • 與合作投資方案
    • 產業洞察：關鍵新創公司及其獨特策略

第5章 價格分析

  • 地區價格分析
  • 價格的影響因素

第6章 全球搜尋擴張生成(RAG)市場收益，2023-2033年

第7章 市場洞察:各部署

  • 雲端
  • 內部部署

第8章 市場洞察:各應用領域

  • 顧客支援&聊天機器人
  • 內容生成
  • 搜尋引擎強化
  • 醫療資訊搜尋
  • 其他

第9章 市場洞察:各終端用戶

  • IT·通訊
  • BFSI
  • 醫療
  • 零售·電子商務
  • 教育
  • 其他

第10章 市場洞察:各地區

  • 北美
    • 美國
    • 加拿大
    • 其他北美地區
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 全球其他地區

第11章 價值鏈分析

  • 限制分析
  • 市場參與企業清單

第12章 競爭情形

  • 競爭儀表板
  • 競爭的市場定位分析
  • 波特五力分析

第13章 企業簡介

  • Amazon Web Services, Inc.
  • IBM Corporation
  • NVIDIA Corporation
  • Clarifai, Inc.
  • Google LLC
  • Informatica Inc.
  • Meta Platforms Inc.
  • Microsoft Corporation
  • OpenAI, LLC
  • Databricks, Inc.

第14章 縮寫與前提條件

第15章 附錄

簡介目錄
Product Code: UMAI213287

The advanced AI technique Retrieval-Augmented Generation (RAG) connects linguistic systems with data retrieval capabilities, which produces factual responses that acknowledge current contexts. RAG extracts appropriate external information as a preprocessing step before the generation process because of which enables it to achieve superior performance for complex knowledge-based tasks. Industry-wide demand for reliable explainable AI solutions drives the current market expansion, while customer service, together with healthcare finance and research, represent primary application sectors. Global adoption of RAG increases due to rising digital transformation, together with the development of large language models and marketplace demand for domain-specific intellectual capabilities.

The Retrieval Augmented Generation market is set to show a growth rate of about 32.1% during the forecast period (2025-2033F). Most countries in the Asia-Pacific region will embrace Retrieval Augmented Generation, yet China and India lead the deployment of this technology. The Chinese economy advances because of governmental AI backing, together with massive data collection, enabling quick business digital transformation efforts. The technology sector in India supports leadership in AI development because it is supported by government digital initiatives and ongoing AI funding programs. These countries lead the development of emerging technologies because they move rapidly to adopt RAG technology. Business organizations worldwide require exact and scalable AI applications to manage real-time data since their precise and scalable AI solution needs continue to grow.

Based on Deployment, the market is segmented into Cloud and On-Premises. Among these, the Cloud segment is leading the market. The primary driver of RAG market sales within the cloud segment stems from rising business need for elastic AI deployment solutions. The cloud infrastructure provides businesses access to effective computing resources through operational leases instead of major capital payments, thus enabling better implementation of complex AI systems like RAG at scale. The RAG features easy accessibility, which makes it easier to implement RAG technologies throughout organizations, as it can make fast deployments and maintain tasks effortlessly. The data storage and processing functions of cloud platforms remain essential because RAG models need to process the large amounts of unstructured data they require.

Based on the Application, the market is segmented into Customer Support & Chatbots, Content Generation, Search Engine Enhancement, Healthcare Information Retrieval, and Others. Among these, Customer Support & Chatbots is the largest contributor to the Retrieval Augmented Generation industry. The main area of Retrieval-Augmented Generation (RAG) growth occurs in Customer Support & Chatbots since businesses demand prompt, precise answers related to the context of their customer interactions. Conventional chatbots work with RAG capabilities to retrieve suitable data from knowledge bases or documents to generate their responses. The implemented functionality offers genuine person-to-person interactions, which lead customers to become more satisfied and loyalty-driven toward the company. RAG-powered chatbots allow organizations to automate operations scaling, which minimizes operational expenses while preserving standard service delivery across e-commerce and banking and telecoms, and IT services.

Based on the End-Users, the market is segmented into IT & Telecom, BFSI, Healthcare, Retail & E-commerce, Education, and Others. Among these, IT & Telecom is the largest contributor to the Retrieval Augmented Generation industry. The main force propelling IT & Telecom firms towards the Retrieval-Augmented Generation (RAG) market stems from their endless drive to strengthen knowledge systems and automate operations. IT and telecom companies perform extensive use of RAG to analyze large data sets, including technical documentation and service records, together with customer engagement information for better internal system management and automated ticket automation, as well as precise real-time support to both users and workers. Through RAG model implementation in many organizations, they can achieve faster access to critical information and better operational efficiency while increasing their service speed. Companies in the IT infrastructure management sector are implementing RAG solutions at an exponential rate because of AI-powered virtual assistants combined with intelligent search capabilities in their management tools.

For a better understanding of the market adoption of Retrieval Augmented Generation, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. Out of all the regions, the Asia-Pacific RAG market expands at an exponential rate because of digitalization trends coupled with increasing artificial intelligence adoption and extended IT infrastructure across countries, including China, India, Japan, and Southeast Asian nations. The governments and businesses of the region are dedicating financial support to artificial intelligence initiatives because they wish to enhance their data analytics operations through automated systems for banking customers and healthcare facilities, and industrial applications across banking and healthcare and e-commerce, and education sectors. Startup entrepreneurship, expansion, and public-private cooperative ventures work together to advance AI and RAG technology innovation. The increasing quantity of multilingual, along with unstructured data across Asia Pacific territories, creates an urgent need for intelligent data retrieval solutions, thus reinforcing market requirements for RAG systems. The combination of its huge human capital base and friendly AI regulation systems enables China, along with India, to emerge as AI industry leaders. Worldwide organizations will depend on the APAC region to drive worldwide RAG market expansion because they need cost-effective, scalable solutions that manage knowledge and provide personalized digital delivery.

Some major players running in the market include Amazon Web Services, Inc., IBM Corporation, NVIDIA Corporation, Clarifai, Inc., Google LLC, Informatica Inc., Meta Platforms Inc., Microsoft Corporation, OpenAI, LLC, and Databricks, Inc.

TABLE OF CONTENTS

1.Market Introduction

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2.Research Methodology or Assumption

  • 2.1. Research Process of the Global Retrieval Augmented Generation Market
  • 2.2. Research Methodology of the Global Retrieval Augmented Generation Market
  • 2.3. Respondent Profile

3.Executive Summary

  • 3.1. Industry Synopsis
  • 3.2. Segmental Outlook
    • 3.2.1. Market Growth Intensity
  • 3.3. Regional Outlook

4.Market Dynamics

  • 4.1. Drivers
  • 4.2. Opportunity
  • 4.3. Restraints
  • 4.4. Trends
  • 4.5. PESTEL Analysis
  • 4.6. Demand Side Analysis
  • 4.7. Supply Side Analysis
    • 4.7.1. Merger & Acquisition
    • 4.7.2. Collaboration & Investment Scenario
    • 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.Pricing Analysis

  • 5.1. Regional Pricing Analysis
  • 5.2. Price Influencing Factors

6.Global Retrieval Augmented Generation Market Revenue (USD Mn), 2023-2033F

7.Market Insights By Deployment

  • 7.1. Cloud
  • 7.2. On-Premises

8.Market Insights By Application

  • 8.1. Customer Support & Chatbots
  • 8.2. Content Generation
  • 8.3. Search Engine Enhancement
  • 8.4. Healthcare Information Retrieval
  • 8.5. Others

9.Market Insights By End-Users

  • 9.1. IT & Telecom
  • 9.2. BFSI
  • 9.3. Healthcare
  • 9.4. Retail & E-commerce
  • 9.5. Education
  • 9.6. Others

10.Market Insights By Region

  • 10.1. North America
    • 10.1.1. U.S.
    • 10.1.2. Canada
    • 10.1.3. Rest of North America
  • 10.2. Europe
    • 10.2.1. Germany
    • 10.2.2. U.K.
    • 10.2.3. France
    • 10.2.4. Italy
    • 10.2.5. Spain
    • 10.2.6. Rest of Europe
  • 10.3. Asia-Pacific
    • 10.3.1. China
    • 10.3.2. Japan
    • 10.3.3. India
    • 10.3.4. Rest of Asia-Pacific
  • 10.4. Rest of World

11.Value Chain Analysis

  • 11.1. Marginal Analysis
  • 11.2. List of Market Participants

12.Competitive Landscape

  • 12.1. Competition Dashboard
  • 12.2. Competitor Market Positioning Analysis
  • 12.3. Porter Five Forces Analysis

13.Company Profiled

  • 13.1. Amazon Web Services, Inc.
    • 13.1.1. Company Overview
    • 13.1.2. Key Financials
    • 13.1.3. SWOT Analysis
    • 13.1.4. Product Portfolio
    • 13.1.5. Recent Developments
  • 13.2. IBM Corporation
  • 13.3. NVIDIA Corporation
  • 13.4. Clarifai, Inc.
  • 13.5. Google LLC
  • 13.6. Informatica Inc.
  • 13.7. Meta Platforms Inc.
  • 13.8. Microsoft Corporation
  • 13.9. OpenAI, LLC
  • 13.10. Databricks, Inc.

14.Acronyms & Assumption

15.Annexure