Retrieval-Augmented Generation (RAG) is a natural language processing (NLP) model architecture that combines retrieval and generation techniques. In this architecture, the model first finds information (such as documents, sentences, etc.) related to the current task through a retrieval process, and then inputs this retrieved information as context into the generation model to produce more accurate and relevant text output. The purpose of this approach is to use the retrieved information to enhance the generation process so that it can generate content that is more in line with user intent and context.
The global Retrieval-Augmented Generation market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Retrieval-Augmented Generation is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Retrieval-Augmented Generation is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Retrieval-Augmented Generation in Natural Language Processing is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Retrieval-Augmented Generation include Zilliz, Elastic, Google Cloud, Amazon Bedrock, Red Hat, Higress, IBM, Glean, Microsoft, NVIDIA, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Retrieval-Augmented Generation, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Retrieval-Augmented Generation.
The Retrieval-Augmented Generation market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Retrieval-Augmented Generation market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Retrieval-Augmented Generation companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Zilliz
Elastic
Google Cloud
Amazon Bedrock
Red Hat
Higress
IBM
Glean
Microsoft
NVIDIA
Oracle
Pinecone
Huawei Cloud
Tencent Cloud
Segment by Type
Template-Based Generation
Sequence-To-Sequence Generation
Segment by Application
Natural Language Processing
Content Creation
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Retrieval-Augmented Generation company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Retrieval-Augmented Generation Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Template-Based Generation
1.2.3 Sequence-To-Sequence Generation
1.3 Market by Application
1.3.1 Global Retrieval-Augmented Generation Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Natural Language Processing
1.3.3 Content Creation
1.3.4 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Retrieval-Augmented Generation Market Perspective (2019-2030)
2.2 Global Retrieval-Augmented Generation Growth Trends by Region
2.2.1 Global Retrieval-Augmented Generation Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Retrieval-Augmented Generation Historic Market Size by Region (2019-2024)
2.2.3 Retrieval-Augmented Generation Forecasted Market Size by Region (2025-2030)
2.3 Retrieval-Augmented Generation Market Dynamics
2.3.1 Retrieval-Augmented Generation Industry Trends
2.3.2 Retrieval-Augmented Generation Market Drivers
2.3.3 Retrieval-Augmented Generation Market Challenges
2.3.4 Retrieval-Augmented Generation Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Retrieval-Augmented Generation Players by Revenue
3.1.1 Global Top Retrieval-Augmented Generation Players by Revenue (2019-2024)
3.1.2 Global Retrieval-Augmented Generation Revenue Market Share by Players (2019-2024)
3.2 Global Retrieval-Augmented Generation Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Retrieval-Augmented Generation Revenue
3.4 Global Retrieval-Augmented Generation Market Concentration Ratio
3.4.1 Global Retrieval-Augmented Generation Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Retrieval-Augmented Generation Revenue in 2023
3.5 Global Key Players of Retrieval-Augmented Generation Head office and Area Served
3.6 Global Key Players of Retrieval-Augmented Generation, Product and Application
3.7 Global Key Players of Retrieval-Augmented Generation, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Retrieval-Augmented Generation Breakdown Data by Type
4.1 Global Retrieval-Augmented Generation Historic Market Size by Type (2019-2024)
4.2 Global Retrieval-Augmented Generation Forecasted Market Size by Type (2025-2030)
5 Retrieval-Augmented Generation Breakdown Data by Application
5.1 Global Retrieval-Augmented Generation Historic Market Size by Application (2019-2024)
5.2 Global Retrieval-Augmented Generation Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Retrieval-Augmented Generation Market Size (2019-2030)
6.2 North America Retrieval-Augmented Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Retrieval-Augmented Generation Market Size by Country (2019-2024)
6.4 North America Retrieval-Augmented Generation Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Retrieval-Augmented Generation Market Size (2019-2030)
7.2 Europe Retrieval-Augmented Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Retrieval-Augmented Generation Market Size by Country (2019-2024)
7.4 Europe Retrieval-Augmented Generation Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Retrieval-Augmented Generation Market Size (2019-2030)
8.2 Asia-Pacific Retrieval-Augmented Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Retrieval-Augmented Generation Market Size by Region (2019-2024)
8.4 Asia-Pacific Retrieval-Augmented Generation Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Retrieval-Augmented Generation Market Size (2019-2030)
9.2 Latin America Retrieval-Augmented Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Retrieval-Augmented Generation Market Size by Country (2019-2024)
9.4 Latin America Retrieval-Augmented Generation Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Retrieval-Augmented Generation Market Size (2019-2030)
10.2 Middle East & Africa Retrieval-Augmented Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Retrieval-Augmented Generation Market Size by Country (2019-2024)
10.4 Middle East & Africa Retrieval-Augmented Generation Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Zilliz
11.1.1 Zilliz Company Details
11.1.2 Zilliz Business Overview
11.1.3 Zilliz Retrieval-Augmented Generation Introduction
11.1.4 Zilliz Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.1.5 Zilliz Recent Development
11.2 Elastic
11.2.1 Elastic Company Details
11.2.2 Elastic Business Overview
11.2.3 Elastic Retrieval-Augmented Generation Introduction
11.2.4 Elastic Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.2.5 Elastic Recent Development
11.3 Google Cloud
11.3.1 Google Cloud Company Details
11.3.2 Google Cloud Business Overview
11.3.3 Google Cloud Retrieval-Augmented Generation Introduction
11.3.4 Google Cloud Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.3.5 Google Cloud Recent Development
11.4 Amazon Bedrock
11.4.1 Amazon Bedrock Company Details
11.4.2 Amazon Bedrock Business Overview
11.4.3 Amazon Bedrock Retrieval-Augmented Generation Introduction
11.4.4 Amazon Bedrock Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.4.5 Amazon Bedrock Recent Development
11.5 Red Hat
11.5.1 Red Hat Company Details
11.5.2 Red Hat Business Overview
11.5.3 Red Hat Retrieval-Augmented Generation Introduction
11.5.4 Red Hat Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.5.5 Red Hat Recent Development
11.6 Higress
11.6.1 Higress Company Details
11.6.2 Higress Business Overview
11.6.3 Higress Retrieval-Augmented Generation Introduction
11.6.4 Higress Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.6.5 Higress Recent Development
11.7 IBM
11.7.1 IBM Company Details
11.7.2 IBM Business Overview
11.7.3 IBM Retrieval-Augmented Generation Introduction
11.7.4 IBM Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.7.5 IBM Recent Development
11.8 Glean
11.8.1 Glean Company Details
11.8.2 Glean Business Overview
11.8.3 Glean Retrieval-Augmented Generation Introduction
11.8.4 Glean Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.8.5 Glean Recent Development
11.9 Microsoft
11.9.1 Microsoft Company Details
11.9.2 Microsoft Business Overview
11.9.3 Microsoft Retrieval-Augmented Generation Introduction
11.9.4 Microsoft Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.9.5 Microsoft Recent Development
11.10 NVIDIA
11.10.1 NVIDIA Company Details
11.10.2 NVIDIA Business Overview
11.10.3 NVIDIA Retrieval-Augmented Generation Introduction
11.10.4 NVIDIA Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.10.5 NVIDIA Recent Development
11.11 Oracle
11.11.1 Oracle Company Details
11.11.2 Oracle Business Overview
11.11.3 Oracle Retrieval-Augmented Generation Introduction
11.11.4 Oracle Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.11.5 Oracle Recent Development
11.12 Pinecone
11.12.1 Pinecone Company Details
11.12.2 Pinecone Business Overview
11.12.3 Pinecone Retrieval-Augmented Generation Introduction
11.12.4 Pinecone Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.12.5 Pinecone Recent Development
11.13 Huawei Cloud
11.13.1 Huawei Cloud Company Details
11.13.2 Huawei Cloud Business Overview
11.13.3 Huawei Cloud Retrieval-Augmented Generation Introduction
11.13.4 Huawei Cloud Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.13.5 Huawei Cloud Recent Development
11.14 Tencent Cloud
11.14.1 Tencent Cloud Company Details
11.14.2 Tencent Cloud Business Overview
11.14.3 Tencent Cloud Retrieval-Augmented Generation Introduction
11.14.4 Tencent Cloud Revenue in Retrieval-Augmented Generation Business (2019-2024)
11.14.5 Tencent Cloud Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Zilliz
Elastic
Google Cloud
Amazon Bedrock
Red Hat
Higress
IBM
Glean
Microsoft
NVIDIA
Oracle
Pinecone
Huawei Cloud
Tencent Cloud
听
听
*If Applicable.
