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Global AI Platforms Software Market Research Report 2024
Synopsis
Artificial intelligence (AI) platforms provide users a tool kit to build intelligent applications. These platforms combine intelligent, decision-making algorithms with data, which enables developers to create a business solution.
The global AI Platforms Software market was valued at US$ 6482 million in 2023 and is anticipated to reach US$ 21840 million by 2030, witnessing a CAGR of 18.6% during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/75 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI Platforms Software, 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 AI Platforms Software.
Report Scope
The AI Platforms Software market size, estimations, and forecasts are provided in terms of 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 AI Platforms Software 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 AI Platforms Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
Microsoft
Google
IBM
Baidu
SAP
Salesforce
Brighterion
IFlyTek
Megvii Technology
H2O.ai
Wipro
Albert Technologies
NanoRep(LogMeIn)
Brainasoft
Ada Support
Yseop
IDEAL.com
Segment by Type
On-Premises
Cloud Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 AI Platforms Software companies’ 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.
Artificial intelligence (AI) platforms provide users a tool kit to build intelligent applications. These platforms combine intelligent, decision-making algorithms with data, which enables developers to create a business solution.
The global AI Platforms Software market was valued at US$ 6482 million in 2023 and is anticipated to reach US$ 21840 million by 2030, witnessing a CAGR of 18.6% during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/75 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI Platforms Software, 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 AI Platforms Software.
Report Scope
The AI Platforms Software market size, estimations, and forecasts are provided in terms of 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 AI Platforms Software 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 AI Platforms Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
Microsoft
IBM
Baidu
SAP
Salesforce
Brighterion
IFlyTek
Megvii Technology
H2O.ai
Wipro
Albert Technologies
NanoRep(LogMeIn)
Brainasoft
Ada Support
Yseop
IDEAL.com
Segment by Type
On-Premises
Cloud Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 AI Platforms Software companies’ 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Platforms Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises
1.2.3 Cloud Based
1.3 Market by Application
1.3.1 Global AI Platforms Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Platforms Software Market Perspective (2019-2030)
2.2 AI Platforms Software Growth Trends by Region
2.2.1 Global AI Platforms Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Platforms Software Historic Market Size by Region (2019-2024)
2.2.3 AI Platforms Software Forecasted Market Size by Region (2025-2030)
2.3 AI Platforms Software Market Dynamics
2.3.1 AI Platforms Software Industry Trends
2.3.2 AI Platforms Software Market Drivers
2.3.3 AI Platforms Software Market Challenges
2.3.4 AI Platforms Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Platforms Software Players by Revenue
3.1.1 Global Top AI Platforms Software Players by Revenue (2019-2024)
3.1.2 Global AI Platforms Software Revenue Market Share by Players (2019-2024)
3.2 Global AI Platforms Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI Platforms Software Revenue
3.4 Global AI Platforms Software Market Concentration Ratio
3.4.1 Global AI Platforms Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Platforms Software Revenue in 2023
3.5 AI Platforms Software Key Players Head office and Area Served
3.6 Key Players AI Platforms Software Product Solution and Service
3.7 Date of Enter into AI Platforms Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Platforms Software Breakdown Data by Type
4.1 Global AI Platforms Software Historic Market Size by Type (2019-2024)
4.2 Global AI Platforms Software Forecasted Market Size by Type (2025-2030)
5 AI Platforms Software Breakdown Data by Application
5.1 Global AI Platforms Software Historic Market Size by Application (2019-2024)
5.2 Global AI Platforms Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI Platforms Software Market Size (2019-2030)
6.2 North America AI Platforms Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Platforms Software Market Size by Country (2019-2024)
6.4 North America AI Platforms Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Platforms Software Market Size (2019-2030)
7.2 Europe AI Platforms Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Platforms Software Market Size by Country (2019-2024)
7.4 Europe AI Platforms Software 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 AI Platforms Software Market Size (2019-2030)
8.2 Asia-Pacific AI Platforms Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Platforms Software Market Size by Region (2019-2024)
8.4 Asia-Pacific AI Platforms Software 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 AI Platforms Software Market Size (2019-2030)
9.2 Latin America AI Platforms Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Platforms Software Market Size by Country (2019-2024)
9.4 Latin America AI Platforms Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Platforms Software Market Size (2019-2030)
10.2 Middle East & Africa AI Platforms Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Platforms Software Market Size by Country (2019-2024)
10.4 Middle East & Africa AI Platforms Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft AI Platforms Software Introduction
11.1.4 Microsoft Revenue in AI Platforms Software Business (2019-2024)
11.1.5 Microsoft Recent Development
11.2 Google
11.2.1 Google Company Detail
11.2.2 Google Business Overview
11.2.3 Google AI Platforms Software Introduction
11.2.4 Google Revenue in AI Platforms Software Business (2019-2024)
11.2.5 Google Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM AI Platforms Software Introduction
11.3.4 IBM Revenue in AI Platforms Software Business (2019-2024)
11.3.5 IBM Recent Development
11.4 Baidu
11.4.1 Baidu Company Detail
11.4.2 Baidu Business Overview
11.4.3 Baidu AI Platforms Software Introduction
11.4.4 Baidu Revenue in AI Platforms Software Business (2019-2024)
11.4.5 Baidu Recent Development
11.5 SAP
11.5.1 SAP Company Detail
11.5.2 SAP Business Overview
11.5.3 SAP AI Platforms Software Introduction
11.5.4 SAP Revenue in AI Platforms Software Business (2019-2024)
11.5.5 SAP Recent Development
11.6 Salesforce
11.6.1 Salesforce Company Detail
11.6.2 Salesforce Business Overview
11.6.3 Salesforce AI Platforms Software Introduction
11.6.4 Salesforce Revenue in AI Platforms Software Business (2019-2024)
11.6.5 Salesforce Recent Development
11.7 Brighterion
11.7.1 Brighterion Company Detail
11.7.2 Brighterion Business Overview
11.7.3 Brighterion AI Platforms Software Introduction
11.7.4 Brighterion Revenue in AI Platforms Software Business (2019-2024)
11.7.5 Brighterion Recent Development
11.8 IFlyTek
11.8.1 IFlyTek Company Detail
11.8.2 IFlyTek Business Overview
11.8.3 IFlyTek AI Platforms Software Introduction
11.8.4 IFlyTek Revenue in AI Platforms Software Business (2019-2024)
11.8.5 IFlyTek Recent Development
11.9 Megvii Technology
11.9.1 Megvii Technology Company Detail
11.9.2 Megvii Technology Business Overview
11.9.3 Megvii Technology AI Platforms Software Introduction
11.9.4 Megvii Technology Revenue in AI Platforms Software Business (2019-2024)
11.9.5 Megvii Technology Recent Development
11.10 H2O.ai
11.10.1 H2O.ai Company Detail
11.10.2 H2O.ai Business Overview
11.10.3 H2O.ai AI Platforms Software Introduction
11.10.4 H2O.ai Revenue in AI Platforms Software Business (2019-2024)
11.10.5 H2O.ai Recent Development
11.11 Wipro
11.11.1 Wipro Company Detail
11.11.2 Wipro Business Overview
11.11.3 Wipro AI Platforms Software Introduction
11.11.4 Wipro Revenue in AI Platforms Software Business (2019-2024)
11.11.5 Wipro Recent Development
11.12 Albert Technologies
11.12.1 Albert Technologies Company Detail
11.12.2 Albert Technologies Business Overview
11.12.3 Albert Technologies AI Platforms Software Introduction
11.12.4 Albert Technologies Revenue in AI Platforms Software Business (2019-2024)
11.12.5 Albert Technologies Recent Development
11.13 NanoRep(LogMeIn)
11.13.1 NanoRep(LogMeIn) Company Detail
11.13.2 NanoRep(LogMeIn) Business Overview
11.13.3 NanoRep(LogMeIn) AI Platforms Software Introduction
11.13.4 NanoRep(LogMeIn) Revenue in AI Platforms Software Business (2019-2024)
11.13.5 NanoRep(LogMeIn) Recent Development
11.14 Brainasoft
11.14.1 Brainasoft Company Detail
11.14.2 Brainasoft Business Overview
11.14.3 Brainasoft AI Platforms Software Introduction
11.14.4 Brainasoft Revenue in AI Platforms Software Business (2019-2024)
11.14.5 Brainasoft Recent Development
11.15 Ada Support
11.15.1 Ada Support Company Detail
11.15.2 Ada Support Business Overview
11.15.3 Ada Support AI Platforms Software Introduction
11.15.4 Ada Support Revenue in AI Platforms Software Business (2019-2024)
11.15.5 Ada Support Recent Development
11.16 Yseop
11.16.1 Yseop Company Detail
11.16.2 Yseop Business Overview
11.16.3 Yseop AI Platforms Software Introduction
11.16.4 Yseop Revenue in AI Platforms Software Business (2019-2024)
11.16.5 Yseop Recent Development
11.17 IDEAL.com
11.17.1 IDEAL.com Company Detail
11.17.2 IDEAL.com Business Overview
11.17.3 IDEAL.com AI Platforms Software Introduction
11.17.4 IDEAL.com Revenue in AI Platforms Software Business (2019-2024)
11.17.5 IDEAL.com Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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