搜寻扩张生成(RAG)市场:现状分析与预测(2025-2033年)

预计在预测期内（2025-2033 年），搜寻增强产生 (RAG) 市场将以约 32.1% 的速度成长。虽然亚太地区大多数国家/地区都将采用搜寻增强生成 (RAG)，但中国和印度将引领该技术的部署。中国经济在政府的人工智慧援助和大量数据收集的推动下不断发展，从而推动了企业快速的数位转型。印度的科技业得到了政府数位化计画和持续的人工智慧资助计画的支持，从而巩固了其在人工智慧发展中的领导地位。这些国家正在快速采用 RAG 技术，引领新兴技术的发展。随着对准确且可扩展的人工智慧解决方案的需求持续增长，全球企业组织都需要准确且可扩展的人工智慧应用程式来管理即时数据。

根据部署方式，市场细分为云端部署和本地部署，其中云端部署占据市场主导地位。云端运算领域 RAG 市场的主要收入驱动力源自于企业对弹性 AI 部署解决方案日益增长的需求。云端基础设施透过营运租赁而非巨额资本支出，为企业提供高效率的运算资源，从而能够大规模部署像 RAG 这样的复杂 AI 系统。 RAG 的特点是易于访问，支援快速部署和轻鬆维护，这使得 RAG 技术更容易在各个组织中应用。云端平台的资料储存和处理能力仍然至关重要，因为 RAG 模型必须处理其所需的大量非结构化资料。

根据应用领域，市场细分为客户支援和聊天机器人、内容生成、搜寻引擎增强、医疗资讯检索和其他。其中，客户支援和聊天机器人是检索增强生成 (RAG) 行业的最大贡献者。检索增强生成 (RAG) 的主要成长领域是客户支援和聊天机器人，因为企业寻求与客户互动情境相关的快速准确的答案。传统聊天机器人与搜寻增强生成 (RAG) 功能协同工作，从知识库和文件中检索正确资料并产生回应。这些功能提供真实的人际互动，从而提高客户满意度和公司忠诚度。基于 RAG 的聊天机器人使公司能够自动化营运扩展，最大限度地降低营运成本，同时保持电子商务、银行、电信和 IT 服务领域的标准服务交付。

根据最终用户，市场细分为 IT 和电信、商业、金融服务和保险 (BFSI)、医疗保健、零售和电子商务、教育和其他。其中，IT 和电信业对搜寻增强生成 (RAG) 产业的贡献最大。推动 IT 和电信公司进入 RAG 市场的主要力量源于对增强知识系统和​​自动化营运的持续追求。 IT 和电信公司广泛使用 RAG 来分析包括技术文件、服务记录以及客户互动资讯在内的大型资料集，以改善内部系统管理和自动工单处理，并为使用者和员工提供精准的即时支援。许多组织正在采用搜寻增强生成 (RAG) 模型来快速存取重要讯息，提高营运效率，同时提升服务速度。 IT 基础架构管理领域的公司正以指数级的速度采用 RAG 解决方案，将人工智慧虚拟助理与管理工具中的智慧搜寻功能结合。

为了更了解搜寻增强生成 (RAG) 的市场应用情况，我们根据其在北美（美国、加拿大和其他北美地区）、欧洲（德国、英国、法国、西班牙、义大利和其他欧洲地区）、亚太地区（中国、日本、印度和其他亚太地区）以及世界其他地区的全球分布对市场进行了分析。在所有地区中，亚太地区的 RAG 市场正以指数级的速度扩张，这得益于数位化趋势、人工智慧的日益普及以及包括中国、印度、日本和东南亚国家在内的各国 IT 基础设施的不断扩展。亚太地区的政府和企业正大力支持人工智慧发展，希望透过为银行客户和医疗机构打造自动化系统，以及在银行、医疗、电商和教育领域应用产业应用，以增强数据分析能力。新创公司、业务拓展和公私合作项目正在携手推动人工智慧和资料治理 (RAG) 创新。在亚太地区，多语言资料和非结构化资料的激增，催生了对智慧资料搜寻解决方案的迫切需求。丰富的人力资源和完善的人工智慧监管体系，使中国与印度并驾齐驱，成为人工智慧产业的领导者。全球企业需要经济高效、可扩展的解决方案来管理知识并提供个人化的数位化交付，因此，亚太地区将成为全球RAG市场扩张的驱动力。

市场的主要参与者包括亚马逊网路服务公司 (AWS)、IBM 公司、NVIDIA 公司、Clarifai 公司、Google有限责任公司、Informatica 公司、Meta Platforms 公司、微软公司、OpenAI 有限责任公司和 Databricks 公司。

目录

第一章：市场简介

• 市场定义
• 主要目的
• 相关利益者
• 限制事项

第2章 调查手法或前提条件

• 调查流程
• 调查手法
• 受访者简介

第3章 摘要整理

• 产业摘要
• 各市场区隔预测
  • 市场成长的强度
• 地区展望

第4章 市场动态

• 促进因素
• 机会
• 阻碍因素
• 趋势
• PESTEL分析
• 需求面分析
• 供给方面分析
  • 合併和收购
  • 与合作投资方案
  • 产业洞察：关键新创公司及其独特策略

第5章 价格分析

• 地区价格分析
• 价格的影响因素

第6章 全球搜寻扩张生成(RAG)市场收益，2023-2033年

第7章 市场洞察:各部署

• 云端
• 内部部署

第8章 市场洞察:各应用领域

• 顾客支援&聊天机器人
• 内容生成
• 搜寻引擎强化
• 医疗资讯搜寻
• 其他

第9章 市场洞察:各终端用户

• IT·通讯
• BFSI
• 医疗
• 零售·电子商务
• 教育
• 其他

第10章 市场洞察:各地区

• 北美
  • 美国
  • 加拿大
  • 其他北美地区
• 欧洲
  • 德国
  • 英国
  • 法国
  • 义大利
  • 西班牙
  • 其他欧洲地区
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 其他亚太地区
• 全球其他地区

第11章 价值链分析

• 限制分析
• 市场参与企业清单

第12章 竞争情形

• 竞争仪表板
• 竞争的市场定位分析
• 波特五力分析

第13章 企业简介

• 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 缩写与前提条件

第15章 附录

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