封面
市场调查报告书
商品编码
1659571

全球检索增强生成市场规模研究,按功能、应用、部署(云端、本地)、最终用途(医疗保健、教育)和区域预测 2022-2032

Global Retrieval Augmented Generation Market Size Study, by Function, Application, Deployment (Cloud, On-premises), End-Use (Healthcare, Education), and Regional Forecasts 2022-2032

出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023 年全球检索增强生成 (RAG) 市场价值约为 104 万美元,预计在 2024-2032 年预测期内将以惊人的 44.7% 的复合年增长率增长。随着对智慧、情境感知的人工智慧系统的需求不断增长,检索增强生成已成为一种突破性的方法,将资讯检索与高级自然语言生成无缝整合。企业、教育机构和医疗保健组织越来越多地利用 RAG 来增强决策能力、自动化内容生成和优化资讯综合,从而推动各行各业的广泛应用。

随着人工智慧应用程式彻底改变工作流程,市场正在见证基于云端的 RAG 平台、即时文件处理和对话式人工智慧的大量投资。医疗保健产业在采用方面处于领先地位,利用 RAG 来提高诊断准确性、实现医疗文件自动化并增强患者互动。同样,教育产业对人工智慧辅导系统和自动化研究辅助的需求也激增,这使得 RAG 成为个人化学习体验的变革力量。然而,高昂的计算成本、对人工智慧产生的偏见的担忧以及资料安全挑战可能会稍微阻碍市场全面采用。

从区域来看,北美在检索增强生成市场中占据主导地位,受益于强大的人工智慧研究生态系统、政府支持的人工智慧资金以及企业的早期采用。欧洲紧随其后,受符合 GDPR 的 AI 解决方案和对 AI 驱动的监管合规工具日益增长的需求的推动。同时,亚太地区正经历最快的成长,这得益于中国、印度和日本的人工智慧投资不断扩大,以及教育科技和医疗保健领域的部署不断增加。拉丁美洲和中东及非洲也正稳步采用人工智慧,这主要得益于各领域人工智慧自动化措施的兴起。

全球检索增强生成市场的竞争格局特征是技术的快速进步、人工智慧的策略性合作以及对基于云端的部署模型的积极投资。市场领导者正在透过结合深度学习模型、先进的自然语言处理 (NLP) 和即时资讯检索机制来不断增强其人工智慧驱动的架构。随着企业越来越多地寻求可扩展的人工智慧自动化解决方案,对检索增强生成系统的需求预计将激增,从而重塑人工智慧驱动的内容创作和决策智慧的未来。

本报告包括的主要市场参与者:

  • IBM 公司
  • 谷歌有限责任公司
  • 微软公司
  • 亚马逊网路服务公司
  • OpenAI
  • Hugging Face 公司
  • Meta Platforms, Inc.
  • 思爱普
  • 甲骨文公司
  • NVIDIA 公司
  • 人为性PBC
  • 科赫公司
  • Databricks 公司
  • DeepMind 科技有限公司
  • Palantir Technologies Inc.

市场的详细细分和子细分解释如下:

目录

第 1 章:全球检索增强生成市场执行摘要

  • 全球检索增强生成市场规模与预测(2022-2032 年)
  • 区域概况
  • 节段概要
    • 按功能
    • 按应用
    • 按部署
    • 按最终用途
  • 主要趋势
  • 经济衰退的影响
  • 分析师建议与结论

第 2 章:全球检索增强生成市场定义与研究假设

  • 研究目标
  • 市场定义
  • 研究假设
    • 包容与排斥
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性(消费者的观点)
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者认知与接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第三章:全球检索增强生成市场动态

  • 市场驱动因素
    • 对智慧 AI 系统的需求不断增长
    • 医疗和教育领域的采用率不断上升
    • 增加对基于云端的 RAG 平台的投资
  • 市场挑战
    • 计算成本高
    • 对人工智慧产生偏见的担忧
    • 资料安全和隐私问题
  • 市场机会
    • 拓展新兴市场
    • 与云端服务供应商建立策略伙伴关係
    • 更广泛的人工智慧生态系统的潜在整合

第四章:全球检索增强生成市场产业分析

  • 波特五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手
    • 波特五力模型的未来方法
    • 波特五力影响分析
  • PESTEL 分析
    • 政治的
    • 经济
    • 社会的
    • 科技
    • 环境的
    • 合法的
  • 最佳投资机会
  • 最佳获胜策略
  • 颠覆性趋势
  • 产业专家观点
  • 分析师建议与结论

第 5 章:全球检索增强生成市场规模与预测:按功能(2022-2032 年)

  • 细分仪表板
  • 全球检索增强生成市场:按功能收入趋势分析,2022 年和 2032 年(百万美元/十亿美元)
    • 内容生成
    • 对话式人工智慧
    • 决策支持
    • 自动化研究

第 6 章:全球检索增强生成市场规模与预测:按应用(2022-2032 年)

  • 细分仪表板
  • 全球检索增强生成市场:按应用收入趋势分析,2022 年和 2032 年(百万美元/十亿美元)
    • 医疗保健人工智慧助理
    • 智慧辅导系统
    • 监理合规与法律分析
    • 人工智慧搜寻引擎
    • 其他的

第 7 章:全球检索增强生成市场规模与预测:按部署(2022-2032 年)

  • 细分仪表板
  • 全球检索增强生成市场:按部署收入趋势分析,2022 年和 2032 年(百万美元/十亿美元)
    • 基于云端
    • 本地

第 8 章:全球检索增强生成市场规模与预测:依最终用途(2022-2032 年)

  • 细分仪表板
  • 全球检索增强生成市场:按最终用途收入趋势分析,2022 年和 2032 年(百万美元/十亿美元)
    • 卫生保健
    • 教育

第 9 章:全球检索增强生成市场规模与预测:按地区(2022-2032 年)

  • 北美检索增强生成市场
    • 美国检索增强生成市场
      • 按功能细分,2022-2032 年
      • 按应用细分,2022 年至 2032 年
      • 按部署细分,2022 年至 2032 年
      • 依最终用途细分,2022 年至 2032 年
    • 加拿大检索增强生成市场
      • 按功能细分,2022-2032 年
      • 按应用细分,2022 年至 2032 年
      • 按部署细分,2022 年至 2032 年
      • 依最终用途细分,2022 年至 2032 年
  • 欧洲检索增强生成市场
    • 英国检索增强生成市场
    • 德国检索增强生成市场
    • 法国检索增强生成市场
    • 西班牙检索增强生成市场
    • 义大利检索增强生成市场
    • 欧洲其他地区检索增强生成市场
  • 亚太地区检索增强生成市场
    • 中国检索增强生成市场
    • 印度检索增强生成市场
    • 日本检索增强生成市场
    • 澳洲检索增强发电市场
    • 韩国检索增强生成市场
    • 亚太地区其他地区检索增强生成市场
  • 拉丁美洲检索增强生成市场
    • 巴西检索增强生成市场
    • 墨西哥检索增强生成市场
    • 拉丁美洲其他地区的检索增强生成市场
  • 中东和非洲检索增强生成市场
    • 沙乌地阿拉伯检索增强发电市场
    • 阿联酋检索增强生成市场
    • 南非检索增强生成市场
    • 中东和非洲其他地区检索增强生成市场

第 10 章:竞争情报

  • 重点公司 SWOT 分析
    • IBM Corporation
    • Google LLC
    • Microsoft Corporation
  • 顶级市场策略
  • 公司简介
    • Amazon Web Services, Inc.
      • 关键讯息
      • 概述
      • 财务(取决于数据可用性)
      • 产品概述
      • 市场策略
    • OpenAI
    • Hugging Face, Inc.
    • Meta Platforms, Inc.
    • SAP SE
    • Oracle Corporation
    • NVIDIA Corporation
    • Anthropic PBC
    • Cohere Inc.
    • Databricks, Inc.
    • DeepMind Technologies Limited
    • Palantir Technologies Inc.

第 11 章:研究过程

  • 研究进程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

The Global Retrieval Augmented Generation (RAG) Market was valued at approximately USD 1.04 million in 2023 and is anticipated to grow at an astonishing CAGR of 44.7% over the forecast period 2024-2032. As the demand for intelligent, contextually aware AI systems accelerates, retrieval-augmented generation has emerged as a groundbreaking approach, seamlessly integrating information retrieval with advanced natural language generation. Businesses, educational institutions, and healthcare organizations are increasingly leveraging RAG to enhance decision-making, automate content generation, and optimize information synthesis, driving widespread adoption across industries.

With AI-powered applications revolutionizing workflows, the market is witnessing significant investments in cloud-based RAG platforms, real-time document processing, and conversational AI. The healthcare sector is leading in adoption, utilizing RAG to improve diagnostic accuracy, automate medical documentation, and enhance patient interactions. Similarly, the education industry is experiencing a surge in demand for AI-driven tutoring systems and automated research assistance, making RAG a transformative force in personalized learning experiences. However, high computational costs, concerns over AI-generated biases, and data security challenges may slightly hinder the market's full-scale adoption.

From a regional perspective, North America dominates the retrieval-augmented generation market, benefiting from strong AI research ecosystems, government-backed AI funding, and early adoption across enterprises. Europe follows closely, driven by GDPR-compliant AI solutions and the growing need for AI-powered regulatory compliance tools. Meanwhile, Asia Pacific is witnessing the fastest growth, fueled by expanding AI investments in China, India, and Japan, alongside increasing deployment in EdTech and healthcare sectors. Latin America and the Middle East & Africa are also experiencing steady adoption, primarily propelled by rising AI-powered automation initiatives in various sectors.

The competitive landscape of the Global Retrieval Augmented Generation Market is characterized by rapid technological advancements, strategic AI collaborations, and aggressive investment in cloud-based deployment models. Market leaders are continuously enhancing their AI-driven architectures by incorporating deep learning models, advanced natural language processing (NLP), and real-time information retrieval mechanisms. As enterprises increasingly seek scalable AI automation solutions, the demand for retrieval-augmented generation systems is expected to surge, reshaping the future of AI-driven content creation and decision intelligence.

Major Market Players Included in This Report:

  • IBM Corporation
  • Google LLC
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • OpenAI
  • Hugging Face, Inc.
  • Meta Platforms, Inc.
  • SAP SE
  • Oracle Corporation
  • NVIDIA Corporation
  • Anthropic PBC
  • Cohere Inc.
  • Databricks, Inc.
  • DeepMind Technologies Limited
  • Palantir Technologies Inc.

The Detailed Segments and Sub-Segments of the Market Are Explained Below:

By Function:

  • Content Generation
  • Conversational AI
  • Decision Support
  • Automated Research

By Application:

  • Healthcare AI Assistants
  • Intelligent Tutoring Systems
  • Regulatory Compliance & Legal Analysis
  • AI-powered Search Engines
  • Others

By Deployment:

  • Cloud-based
  • On-premises

By End-Use:

  • Healthcare
  • Education

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Rest of Middle East & Africa

Years Considered for the Study:

  • Historical Year: 2022
  • Base Year: 2023
  • Forecast Period: 2024-2032

Key Takeaways:

  • Market Estimates & Forecasts for 10 years from 2022 to 2032.
  • Annualized revenue projections and regional-level analysis for each market segment.
  • Comprehensive insights into the geographical landscape with country-level analysis.
  • Competitive analysis of major market players and their strategic developments.
  • In-depth analysis of market dynamics, challenges, trends, and growth opportunities.
  • Recommendations on business strategies to capitalize on emerging market trends.

Table of Contents

Chapter 1. Global Retrieval Augmented Generation Market Executive Summary

  • 1.1. Global Retrieval Augmented Generation Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Function
    • 1.3.2. By Application
    • 1.3.3. By Deployment
    • 1.3.4. By End-Use
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Retrieval Augmented Generation Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory Frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Retrieval Augmented Generation Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Growing Demand for Intelligent AI Systems
    • 3.1.2. Rising Adoption in Healthcare & Education Sectors
    • 3.1.3. Increasing Investments in Cloud-based RAG Platforms
  • 3.2. Market Challenges
    • 3.2.1. High Computational Costs
    • 3.2.2. Concerns over AI-generated Biases
    • 3.2.3. Data Security & Privacy Issues
  • 3.3. Market Opportunities
    • 3.3.1. Expansion into Emerging Markets
    • 3.3.2. Strategic Partnerships with Cloud Service Providers
    • 3.3.3. Potential Integration in Broader AI-driven Ecosystems

Chapter 4. Global Retrieval Augmented Generation Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunity
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Retrieval Augmented Generation Market Size & Forecasts by Function (2022-2032)

  • 5.1. Segment Dashboard
  • 5.2. Global Retrieval Augmented Generation Market: By Function Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 5.2.1. Content Generation
    • 5.2.2. Conversational AI
    • 5.2.3. Decision Support
    • 5.2.4. Automated Research

Chapter 6. Global Retrieval Augmented Generation Market Size & Forecasts by Application (2022-2032)

  • 6.1. Segment Dashboard
  • 6.2. Global Retrieval Augmented Generation Market: By Application Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 6.2.1. Healthcare AI Assistants
    • 6.2.2. Intelligent Tutoring Systems
    • 6.2.3. Regulatory Compliance & Legal Analysis
    • 6.2.4. AI-powered Search Engines
    • 6.2.5. Others

Chapter 7. Global Retrieval Augmented Generation Market Size & Forecasts by Deployment (2022-2032)

  • 7.1. Segment Dashboard
  • 7.2. Global Retrieval Augmented Generation Market: By Deployment Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 7.2.1. Cloud-based
    • 7.2.2. On-premises

Chapter 8. Global Retrieval Augmented Generation Market Size & Forecasts by End-Use (2022-2032)

  • 8.1. Segment Dashboard
  • 8.2. Global Retrieval Augmented Generation Market: By End-Use Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 8.2.1. Healthcare
    • 8.2.2. Education

Chapter 9. Global Retrieval Augmented Generation Market Size & Forecasts by Region (2022-2032)

  • 9.1. North America Retrieval Augmented Generation Market
    • 9.1.1. U.S. Retrieval Augmented Generation Market
      • 9.1.1.1. By Function Breakdown, 2022-2032
      • 9.1.1.2. By Application Breakdown, 2022-2032
      • 9.1.1.3. By Deployment Breakdown, 2022-2032
      • 9.1.1.4. By End-Use Breakdown, 2022-2032
    • 9.1.2. Canada Retrieval Augmented Generation Market
      • 9.1.2.1. By Function Breakdown, 2022-2032
      • 9.1.2.2. By Application Breakdown, 2022-2032
      • 9.1.2.3. By Deployment Breakdown, 2022-2032
      • 9.1.2.4. By End-Use Breakdown, 2022-2032
  • 9.2. Europe Retrieval Augmented Generation Market
    • 9.2.1. U.K. Retrieval Augmented Generation Market
    • 9.2.2. Germany Retrieval Augmented Generation Market
    • 9.2.3. France Retrieval Augmented Generation Market
    • 9.2.4. Spain Retrieval Augmented Generation Market
    • 9.2.5. Italy Retrieval Augmented Generation Market
    • 9.2.6. Rest of Europe Retrieval Augmented Generation Market
  • 9.3. Asia Pacific Retrieval Augmented Generation Market
    • 9.3.1. China Retrieval Augmented Generation Market
    • 9.3.2. India Retrieval Augmented Generation Market
    • 9.3.3. Japan Retrieval Augmented Generation Market
    • 9.3.4. Australia Retrieval Augmented Generation Market
    • 9.3.5. South Korea Retrieval Augmented Generation Market
    • 9.3.6. Rest of Asia Pacific Retrieval Augmented Generation Market
  • 9.4. Latin America Retrieval Augmented Generation Market
    • 9.4.1. Brazil Retrieval Augmented Generation Market
    • 9.4.2. Mexico Retrieval Augmented Generation Market
    • 9.4.3. Rest of Latin America Retrieval Augmented Generation Market
  • 9.5. Middle East & Africa Retrieval Augmented Generation Market
    • 9.5.1. Saudi Arabia Retrieval Augmented Generation Market
    • 9.5.2. UAE Retrieval Augmented Generation Market
    • 9.5.3. South Africa Retrieval Augmented Generation Market
    • 9.5.4. Rest of Middle East & Africa Retrieval Augmented Generation Market

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
    • 10.1.1. IBM Corporation
    • 10.1.2. Google LLC
    • 10.1.3. Microsoft Corporation
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles
    • 10.3.1. Amazon Web Services, Inc.
      • 10.3.1.1. Key Information
      • 10.3.1.2. Overview
      • 10.3.1.3. Financial (Subject to Data Availability)
      • 10.3.1.4. Product Summary
      • 10.3.1.5. Market Strategies
    • 10.3.2. OpenAI
    • 10.3.3. Hugging Face, Inc.
    • 10.3.4. Meta Platforms, Inc.
    • 10.3.5. SAP SE
    • 10.3.6. Oracle Corporation
    • 10.3.7. NVIDIA Corporation
    • 10.3.8. Anthropic PBC
    • 10.3.9. Cohere Inc.
    • 10.3.10. Databricks, Inc.
    • 10.3.11. DeepMind Technologies Limited
    • 10.3.12. Palantir Technologies Inc.

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes