AI Software and Platforms - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB510247403

Publication Date:

October 30, 2024

Pages:

155

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. Artificial Intelligence Platform is Software that is capable of intelligent behavior. In creating intelligent software, this involves simulating a number of capabilities, including reasoning, learning, problem solving, perception, and knowledge representation.
The global market for AI Software and Platforms was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % 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 楼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 1/82 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI Software and Platforms, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI Software and Platforms by region & country, by Type, and by Application.
The AI Software and Platforms market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Software and Platforms.
Market Segmentation
By Company
Google
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
KITT.AI
iFlyTek
Megvii Technology
Albert Technologies
Yseop
Ipsoft
nanoRep(LogMeIn)
Ada Support
Astute Solutions
IDEAL
Wipro
H2O.ai
Brainasoft
Segment by Type:
On-Premise
Cloud-based
Segment by Application
Voice Processing
Text Processing
Image Processing
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of AI Software and Platforms manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of AI Software and Platforms in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of AI Software and Platforms in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 Market Overview
1.1 AI Software and Platforms Product Introduction
1.2 Global AI Software and Platforms Market Size Forecast
1.3 AI Software and Platforms Market Trends & Drivers
1.3.1 AI Software and Platforms Industry Trends
1.3.2 AI Software and Platforms Market Drivers & Opportunity
1.3.3 AI Software and Platforms Market Challenges
1.3.4 AI Software and Platforms Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI Software and Platforms Players Revenue Ranking (2023)
2.2 Global AI Software and Platforms Revenue by Company (2019-2024)
2.3 Key Companies AI Software and Platforms Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI Software and Platforms Product Offered
2.5 Key Companies Time to Begin Mass Production of AI Software and Platforms
2.6 AI Software and Platforms Market Competitive Analysis
2.6.1 AI Software and Platforms Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by AI Software and Platforms Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI Software and Platforms as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 On-Premise
3.1.2 Cloud-based
3.2 Global AI Software and Platforms Sales Value by Type
3.2.1 Global AI Software and Platforms Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global AI Software and Platforms Sales Value, by Type (2019-2030)
3.2.3 Global AI Software and Platforms Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Voice Processing
4.1.2 Text Processing
4.1.3 Image Processing
4.2 Global AI Software and Platforms Sales Value by Application
4.2.1 Global AI Software and Platforms Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global AI Software and Platforms Sales Value, by Application (2019-2030)
4.2.3 Global AI Software and Platforms Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global AI Software and Platforms Sales Value by Region
5.1.1 Global AI Software and Platforms Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global AI Software and Platforms Sales Value by Region (2019-2024)
5.1.3 Global AI Software and Platforms Sales Value by Region (2025-2030)
5.1.4 Global AI Software and Platforms Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America AI Software and Platforms Sales Value, 2019-2030
5.2.2 North America AI Software and Platforms Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe AI Software and Platforms Sales Value, 2019-2030
5.3.2 Europe AI Software and Platforms Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific AI Software and Platforms Sales Value, 2019-2030
5.4.2 Asia Pacific AI Software and Platforms Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America AI Software and Platforms Sales Value, 2019-2030
5.5.2 South America AI Software and Platforms Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI Software and Platforms Sales Value, 2019-2030
5.6.2 Middle East & Africa AI Software and Platforms Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI Software and Platforms Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions AI Software and Platforms Sales Value
6.3 United States
6.3.1 United States AI Software and Platforms Sales Value, 2019-2030
6.3.2 United States AI Software and Platforms Sales Value by Type (%), 2023 VS 2030
6.3.3 United States AI Software and Platforms Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe AI Software and Platforms Sales Value, 2019-2030
6.4.2 Europe AI Software and Platforms Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe AI Software and Platforms Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China AI Software and Platforms Sales Value, 2019-2030
6.5.2 China AI Software and Platforms Sales Value by Type (%), 2023 VS 2030
6.5.3 China AI Software and Platforms Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan AI Software and Platforms Sales Value, 2019-2030
6.6.2 Japan AI Software and Platforms Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan AI Software and Platforms Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea AI Software and Platforms Sales Value, 2019-2030
6.7.2 South Korea AI Software and Platforms Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea AI Software and Platforms Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia AI Software and Platforms Sales Value, 2019-2030
6.8.2 Southeast Asia AI Software and Platforms Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia AI Software and Platforms Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India AI Software and Platforms Sales Value, 2019-2030
6.9.2 India AI Software and Platforms Sales Value by Type (%), 2023 VS 2030
6.9.3 India AI Software and Platforms Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google
7.1.1 Google Profile
7.1.2 Google Main Business
7.1.3 Google AI Software and Platforms Products, Services and Solutions
7.1.4 Google AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.1.5 Google Recent Developments
7.2 Baidu
7.2.1 Baidu Profile
7.2.2 Baidu Main Business
7.2.3 Baidu AI Software and Platforms Products, Services and Solutions
7.2.4 Baidu AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.2.5 Baidu Recent Developments
7.3 IBM
7.3.1 IBM Profile
7.3.2 IBM Main Business
7.3.3 IBM AI Software and Platforms Products, Services and Solutions
7.3.4 IBM AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.3.5 Microsoft Recent Developments
7.4 Microsoft
7.4.1 Microsoft Profile
7.4.2 Microsoft Main Business
7.4.3 Microsoft AI Software and Platforms Products, Services and Solutions
7.4.4 Microsoft AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.4.5 Microsoft Recent Developments
7.5 SAP
7.5.1 SAP Profile
7.5.2 SAP Main Business
7.5.3 SAP AI Software and Platforms Products, Services and Solutions
7.5.4 SAP AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.5.5 SAP Recent Developments
7.6 Intel
7.6.1 Intel Profile
7.6.2 Intel Main Business
7.6.3 Intel AI Software and Platforms Products, Services and Solutions
7.6.4 Intel AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.6.5 Intel Recent Developments
7.7 Salesforce
7.7.1 Salesforce Profile
7.7.2 Salesforce Main Business
7.7.3 Salesforce AI Software and Platforms Products, Services and Solutions
7.7.4 Salesforce AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.7.5 Salesforce Recent Developments
7.8 Brighterion
7.8.1 Brighterion Profile
7.8.2 Brighterion Main Business
7.8.3 Brighterion AI Software and Platforms Products, Services and Solutions
7.8.4 Brighterion AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.8.5 Brighterion Recent Developments
7.9 KITT.AI
7.9.1 KITT.AI Profile
7.9.2 KITT.AI Main Business
7.9.3 KITT.AI AI Software and Platforms Products, Services and Solutions
7.9.4 KITT.AI AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.9.5 KITT.AI Recent Developments
7.10 iFlyTek
7.10.1 iFlyTek Profile
7.10.2 iFlyTek Main Business
7.10.3 iFlyTek AI Software and Platforms Products, Services and Solutions
7.10.4 iFlyTek AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.10.5 iFlyTek Recent Developments
7.11 Megvii Technology
7.11.1 Megvii Technology Profile
7.11.2 Megvii Technology Main Business
7.11.3 Megvii Technology AI Software and Platforms Products, Services and Solutions
7.11.4 Megvii Technology AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.11.5 Megvii Technology Recent Developments
7.12 Albert Technologies
7.12.1 Albert Technologies Profile
7.12.2 Albert Technologies Main Business
7.12.3 Albert Technologies AI Software and Platforms Products, Services and Solutions
7.12.4 Albert Technologies AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.12.5 Albert Technologies Recent Developments
7.13 Yseop
7.13.1 Yseop Profile
7.13.2 Yseop Main Business
7.13.3 Yseop AI Software and Platforms Products, Services and Solutions
7.13.4 Yseop AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.13.5 Yseop Recent Developments
7.14 Ipsoft
7.14.1 Ipsoft Profile
7.14.2 Ipsoft Main Business
7.14.3 Ipsoft AI Software and Platforms Products, Services and Solutions
7.14.4 Ipsoft AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.14.5 Ipsoft Recent Developments
7.15 nanoRep(LogMeIn)
7.15.1 nanoRep(LogMeIn) Profile
7.15.2 nanoRep(LogMeIn) Main Business
7.15.3 nanoRep(LogMeIn) AI Software and Platforms Products, Services and Solutions
7.15.4 nanoRep(LogMeIn) AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.15.5 nanoRep(LogMeIn) Recent Developments
7.16 Ada Support
7.16.1 Ada Support Profile
7.16.2 Ada Support Main Business
7.16.3 Ada Support AI Software and Platforms Products, Services and Solutions
7.16.4 Ada Support AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.16.5 Ada Support Recent Developments
7.17 Astute Solutions
7.17.1 Astute Solutions Profile
7.17.2 Astute Solutions Main Business
7.17.3 Astute Solutions AI Software and Platforms Products, Services and Solutions
7.17.4 Astute Solutions AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.17.5 Astute Solutions Recent Developments
7.18 IDEAL
7.18.1 IDEAL Profile
7.18.2 IDEAL Main Business
7.18.3 IDEAL AI Software and Platforms Products, Services and Solutions
7.18.4 IDEAL AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.18.5 IDEAL Recent Developments
7.19 Wipro
7.19.1 Wipro Profile
7.19.2 Wipro Main Business
7.19.3 Wipro AI Software and Platforms Products, Services and Solutions
7.19.4 Wipro AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.19.5 Wipro Recent Developments
7.20 H2O.ai
7.20.1 H2O.ai Profile
7.20.2 H2O.ai Main Business
7.20.3 H2O.ai AI Software and Platforms Products, Services and Solutions
7.20.4 H2O.ai AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.20.5 H2O.ai Recent Developments
7.21 Brainasoft
7.21.1 Brainasoft Profile
7.21.2 Brainasoft Main Business
7.21.3 Brainasoft AI Software and Platforms Products, Services and Solutions
7.21.4 Brainasoft AI Software and Platforms Revenue (US$ Million) & (2019-2024)
7.21.5 Brainasoft Recent Developments
8 Industry Chain Analysis
8.1 AI Software and Platforms Industrial Chain
8.2 AI Software and Platforms Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 AI Software and Platforms Sales Model
8.5.2 Sales Channel
8.5.3 AI Software and Platforms Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Google
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
KITT.AI
iFlyTek
Megvii Technology
Albert Technologies
Yseop
Ipsoft
nanoRep(LogMeIn)
Ada Support
Astute Solutions
IDEAL
Wipro
H2O.ai
Brainasoft

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