Global General Purpose Artificial Intelligence (GPAI) 麻豆原创 Research Report 2025

Publication ID:

PB504250719

Publication Date:

April 8, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for General Purpose Artificial Intelligence (GPAI) was valued at US$ 20720 million in the year 2024 and is projected to reach a revised size of US$ 119240 million by 2031, growing at a CAGR of 28.8% during the forecast period.
General Purpose Artificial Intelligence (GPAI) refers to AI Systems that have a wide range of possible uses, both intended and unintended by the developers. They can be applied to many different tasks in various fields, often without substantial modification and fine-tuning.
Global core manufacturers of General Purpose Artificial Intelligence (GPAI) include Google, OpenAI, IBM, Oracle and Dell. US & Canada is the largest consumption region, accounting for approximately 42% of the global market. In terms of type, machine learning is the largest market segment, with a share of more than 53%. In terms of application, the largest application is smart manufacturing, with a share of approximately 25%.
This report aims to provide a comprehensive presentation of the global market for General Purpose Artificial Intelligence (GPAI), 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 General Purpose Artificial Intelligence (GPAI).
The General Purpose Artificial Intelligence (GPAI) market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global General Purpose Artificial Intelligence (GPAI) 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 General Purpose Artificial Intelligence (GPAI) 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.
麻豆原创 Segmentation
By Company
Google
OpenAI
IBM
Oracle
Dell
Hewlett Packard Enterprise
Amazon Web Services
Intel
Microsoft
Nvidia
SAS Institute
SAP
Baidu
HUAWEI
Databricks
Qualcomm Technologies
Dataiku
Segment by Type
Machine Learning
Natural Language Processing
Computer Vision
Other
Segment by Application
Smart Manufacturing
Financial Services
Medical and Health
Automotive and Transportation
Media and Entertainment
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 General Purpose Artificial Intelligence (GPAI) 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.

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Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Machine Learning
1.2.3 Natural Language Processing
1.2.4 Computer Vision
1.2.5 Other
1.3 麻豆原创 by Application
1.3.1 Global General Purpose Artificial Intelligence (GPAI) 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Smart Manufacturing
1.3.3 Financial Services
1.3.4 Medical and Health
1.3.5 Automotive and Transportation
1.3.6 Media and Entertainment
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global General Purpose Artificial Intelligence (GPAI) 麻豆原创 Perspective (2020-2031)
2.2 Global General Purpose Artificial Intelligence (GPAI) Growth Trends by Region
2.2.1 Global General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 General Purpose Artificial Intelligence (GPAI) Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 General Purpose Artificial Intelligence (GPAI) Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 General Purpose Artificial Intelligence (GPAI) 麻豆原创 Dynamics
2.3.1 General Purpose Artificial Intelligence (GPAI) Industry Trends
2.3.2 General Purpose Artificial Intelligence (GPAI) 麻豆原创 Drivers
2.3.3 General Purpose Artificial Intelligence (GPAI) 麻豆原创 Challenges
2.3.4 General Purpose Artificial Intelligence (GPAI) 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top General Purpose Artificial Intelligence (GPAI) Players by Revenue
3.1.1 Global Top General Purpose Artificial Intelligence (GPAI) Players by Revenue (2020-2025)
3.1.2 Global General Purpose Artificial Intelligence (GPAI) Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global General Purpose Artificial Intelligence (GPAI) 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by General Purpose Artificial Intelligence (GPAI) Revenue
3.4 Global General Purpose Artificial Intelligence (GPAI) 麻豆原创 Concentration Ratio
3.4.1 Global General Purpose Artificial Intelligence (GPAI) 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by General Purpose Artificial Intelligence (GPAI) Revenue in 2024
3.5 Global Key Players of General Purpose Artificial Intelligence (GPAI) Head office and Area Served
3.6 Global Key Players of General Purpose Artificial Intelligence (GPAI), Product and Application
3.7 Global Key Players of General Purpose Artificial Intelligence (GPAI), Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 General Purpose Artificial Intelligence (GPAI) Breakdown Data by Type
4.1 Global General Purpose Artificial Intelligence (GPAI) Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global General Purpose Artificial Intelligence (GPAI) Forecasted 麻豆原创 Size by Type (2026-2031)
5 General Purpose Artificial Intelligence (GPAI) Breakdown Data by Application
5.1 Global General Purpose Artificial Intelligence (GPAI) Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global General Purpose Artificial Intelligence (GPAI) Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size (2020-2031)
6.2 North America General Purpose Artificial Intelligence (GPAI) 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Country (2020-2025)
6.4 North America General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size (2020-2031)
7.2 Europe General Purpose Artificial Intelligence (GPAI) 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Country (2020-2025)
7.4 Europe General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Country (2026-2031)
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 General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific General Purpose Artificial Intelligence (GPAI) 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Region (2026-2031)
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 General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size (2020-2031)
9.2 Latin America General Purpose Artificial Intelligence (GPAI) 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Country (2020-2025)
9.4 Latin America General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa General Purpose Artificial Intelligence (GPAI) 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa General Purpose Artificial Intelligence (GPAI) 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google
11.1.1 Google Company Details
11.1.2 Google Business Overview
11.1.3 Google General Purpose Artificial Intelligence (GPAI) Introduction
11.1.4 Google Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.1.5 Google Recent Development
11.2 OpenAI
11.2.1 OpenAI Company Details
11.2.2 OpenAI Business Overview
11.2.3 OpenAI General Purpose Artificial Intelligence (GPAI) Introduction
11.2.4 OpenAI Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.2.5 OpenAI Recent Development
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM General Purpose Artificial Intelligence (GPAI) Introduction
11.3.4 IBM Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.3.5 IBM Recent Development
11.4 Oracle
11.4.1 Oracle Company Details
11.4.2 Oracle Business Overview
11.4.3 Oracle General Purpose Artificial Intelligence (GPAI) Introduction
11.4.4 Oracle Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.4.5 Oracle Recent Development
11.5 Dell
11.5.1 Dell Company Details
11.5.2 Dell Business Overview
11.5.3 Dell General Purpose Artificial Intelligence (GPAI) Introduction
11.5.4 Dell Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.5.5 Dell Recent Development
11.6 Hewlett Packard Enterprise
11.6.1 Hewlett Packard Enterprise Company Details
11.6.2 Hewlett Packard Enterprise Business Overview
11.6.3 Hewlett Packard Enterprise General Purpose Artificial Intelligence (GPAI) Introduction
11.6.4 Hewlett Packard Enterprise Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.6.5 Hewlett Packard Enterprise Recent Development
11.7 Amazon Web Services
11.7.1 Amazon Web Services Company Details
11.7.2 Amazon Web Services Business Overview
11.7.3 Amazon Web Services General Purpose Artificial Intelligence (GPAI) Introduction
11.7.4 Amazon Web Services Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.7.5 Amazon Web Services Recent Development
11.8 Intel
11.8.1 Intel Company Details
11.8.2 Intel Business Overview
11.8.3 Intel General Purpose Artificial Intelligence (GPAI) Introduction
11.8.4 Intel Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.8.5 Intel Recent Development
11.9 Microsoft
11.9.1 Microsoft Company Details
11.9.2 Microsoft Business Overview
11.9.3 Microsoft General Purpose Artificial Intelligence (GPAI) Introduction
11.9.4 Microsoft Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
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 General Purpose Artificial Intelligence (GPAI) Introduction
11.10.4 Nvidia Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.10.5 Nvidia Recent Development
11.11 SAS Institute
11.11.1 SAS Institute Company Details
11.11.2 SAS Institute Business Overview
11.11.3 SAS Institute General Purpose Artificial Intelligence (GPAI) Introduction
11.11.4 SAS Institute Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.11.5 SAS Institute Recent Development
11.12 SAP
11.12.1 SAP Company Details
11.12.2 SAP Business Overview
11.12.3 SAP General Purpose Artificial Intelligence (GPAI) Introduction
11.12.4 SAP Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.12.5 SAP Recent Development
11.13 Baidu
11.13.1 Baidu Company Details
11.13.2 Baidu Business Overview
11.13.3 Baidu General Purpose Artificial Intelligence (GPAI) Introduction
11.13.4 Baidu Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.13.5 Baidu Recent Development
11.14 HUAWEI
11.14.1 HUAWEI Company Details
11.14.2 HUAWEI Business Overview
11.14.3 HUAWEI General Purpose Artificial Intelligence (GPAI) Introduction
11.14.4 HUAWEI Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.14.5 HUAWEI Recent Development
11.15 Databricks
11.15.1 Databricks Company Details
11.15.2 Databricks Business Overview
11.15.3 Databricks General Purpose Artificial Intelligence (GPAI) Introduction
11.15.4 Databricks Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.15.5 Databricks Recent Development
11.16 Qualcomm Technologies
11.16.1 Qualcomm Technologies Company Details
11.16.2 Qualcomm Technologies Business Overview
11.16.3 Qualcomm Technologies General Purpose Artificial Intelligence (GPAI) Introduction
11.16.4 Qualcomm Technologies Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.16.5 Qualcomm Technologies Recent Development
11.17 Dataiku
11.17.1 Dataiku Company Details
11.17.2 Dataiku Business Overview
11.17.3 Dataiku General Purpose Artificial Intelligence (GPAI) Introduction
11.17.4 Dataiku Revenue in General Purpose Artificial Intelligence (GPAI) Business (2020-2025)
11.17.5 Dataiku 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 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 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

Companies Mentioned:

Google
OpenAI
IBM
Oracle
Dell
Hewlett Packard Enterprise
Amazon Web Services
Intel
Microsoft
Nvidia
SAS Institute
SAP
Baidu
HUAWEI
Databricks
Qualcomm Technologies
Dataiku

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