
Highlights
The global AI & Machine Learning market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for AI & Machine Learning is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for AI & Machine Learning is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for AI & Machine Learning in Automotive is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of AI & Machine Learning include GOOGLE, IBM, BAIDU, SOUNDHOUND, ZEBRA MEDICAL VISION, PRISMA, IRIS AI, PINTEREST and TRADEMARKVISION, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI & Machine Learning, 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 & Machine Learning.
The AI & Machine Learning market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global AI & Machine Learning 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 & Machine Learning 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.
By Company
GOOGLE
IBM
BAIDU
SOUNDHOUND
ZEBRA MEDICAL VISION
PRISMA
IRIS AI
PINTEREST
TRADEMARKVISION
DESCARTES LABS
Amazon
Segment by Type
TensorFlow
Caffe2
Apache MXNet
Segment by Application
Automotive
Santific Research
Big Date
Others
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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 & Machine Learning 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 key companies in the market in detail, including product revenue, 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 AI & Machine Learning Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 TensorFlow
1.2.3 Caffe2
1.2.4 Apache MXNet
1.3 Market by Application
1.3.1 Global AI & Machine Learning Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Automotive
1.3.3 Santific Research
1.3.4 Big Date
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI & Machine Learning Market Perspective (2018-2029)
2.2 AI & Machine Learning Growth Trends by Region
2.2.1 Global AI & Machine Learning Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI & Machine Learning Historic Market Size by Region (2018-2023)
2.2.3 AI & Machine Learning Forecasted Market Size by Region (2024-2029)
2.3 AI & Machine Learning Market Dynamics
2.3.1 AI & Machine Learning Industry Trends
2.3.2 AI & Machine Learning Market Drivers
2.3.3 AI & Machine Learning Market Challenges
2.3.4 AI & Machine Learning Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI & Machine Learning Players by Revenue
3.1.1 Global Top AI & Machine Learning Players by Revenue (2018-2023)
3.1.2 Global AI & Machine Learning Revenue Market Share by Players (2018-2023)
3.2 Global AI & Machine Learning Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI & Machine Learning Revenue
3.4 Global AI & Machine Learning Market Concentration Ratio
3.4.1 Global AI & Machine Learning Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI & Machine Learning Revenue in 2022
3.5 AI & Machine Learning Key Players Head office and Area Served
3.6 Key Players AI & Machine Learning Product Solution and Service
3.7 Date of Enter into AI & Machine Learning Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI & Machine Learning Breakdown Data by Type
4.1 Global AI & Machine Learning Historic Market Size by Type (2018-2023)
4.2 Global AI & Machine Learning Forecasted Market Size by Type (2024-2029)
5 AI & Machine Learning Breakdown Data by Application
5.1 Global AI & Machine Learning Historic Market Size by Application (2018-2023)
5.2 Global AI & Machine Learning Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America AI & Machine Learning Market Size (2018-2029)
6.2 North America AI & Machine Learning Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America AI & Machine Learning Market Size by Country (2018-2023)
6.4 North America AI & Machine Learning Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI & Machine Learning Market Size (2018-2029)
7.2 Europe AI & Machine Learning Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe AI & Machine Learning Market Size by Country (2018-2023)
7.4 Europe AI & Machine Learning Market Size by Country (2024-2029)
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 & Machine Learning Market Size (2018-2029)
8.2 Asia-Pacific AI & Machine Learning Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific AI & Machine Learning Market Size by Region (2018-2023)
8.4 Asia-Pacific AI & Machine Learning Market Size by Region (2024-2029)
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 & Machine Learning Market Size (2018-2029)
9.2 Latin America AI & Machine Learning Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America AI & Machine Learning Market Size by Country (2018-2023)
9.4 Latin America AI & Machine Learning Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI & Machine Learning Market Size (2018-2029)
10.2 Middle East & Africa AI & Machine Learning Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa AI & Machine Learning Market Size by Country (2018-2023)
10.4 Middle East & Africa AI & Machine Learning Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 GOOGLE
11.1.1 GOOGLE Company Detail
11.1.2 GOOGLE Business Overview
11.1.3 GOOGLE AI & Machine Learning Introduction
11.1.4 GOOGLE Revenue in AI & Machine Learning Business (2018-2023)
11.1.5 GOOGLE Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM AI & Machine Learning Introduction
11.2.4 IBM Revenue in AI & Machine Learning Business (2018-2023)
11.2.5 IBM Recent Development
11.3 BAIDU
11.3.1 BAIDU Company Detail
11.3.2 BAIDU Business Overview
11.3.3 BAIDU AI & Machine Learning Introduction
11.3.4 BAIDU Revenue in AI & Machine Learning Business (2018-2023)
11.3.5 BAIDU Recent Development
11.4 SOUNDHOUND
11.4.1 SOUNDHOUND Company Detail
11.4.2 SOUNDHOUND Business Overview
11.4.3 SOUNDHOUND AI & Machine Learning Introduction
11.4.4 SOUNDHOUND Revenue in AI & Machine Learning Business (2018-2023)
11.4.5 SOUNDHOUND Recent Development
11.5 ZEBRA MEDICAL VISION
11.5.1 ZEBRA MEDICAL VISION Company Detail
11.5.2 ZEBRA MEDICAL VISION Business Overview
11.5.3 ZEBRA MEDICAL VISION AI & Machine Learning Introduction
11.5.4 ZEBRA MEDICAL VISION Revenue in AI & Machine Learning Business (2018-2023)
11.5.5 ZEBRA MEDICAL VISION Recent Development
11.6 PRISMA
11.6.1 PRISMA Company Detail
11.6.2 PRISMA Business Overview
11.6.3 PRISMA AI & Machine Learning Introduction
11.6.4 PRISMA Revenue in AI & Machine Learning Business (2018-2023)
11.6.5 PRISMA Recent Development
11.7 IRIS AI
11.7.1 IRIS AI Company Detail
11.7.2 IRIS AI Business Overview
11.7.3 IRIS AI AI & Machine Learning Introduction
11.7.4 IRIS AI Revenue in AI & Machine Learning Business (2018-2023)
11.7.5 IRIS AI Recent Development
11.8 PINTEREST
11.8.1 PINTEREST Company Detail
11.8.2 PINTEREST Business Overview
11.8.3 PINTEREST AI & Machine Learning Introduction
11.8.4 PINTEREST Revenue in AI & Machine Learning Business (2018-2023)
11.8.5 PINTEREST Recent Development
11.9 TRADEMARKVISION
11.9.1 TRADEMARKVISION Company Detail
11.9.2 TRADEMARKVISION Business Overview
11.9.3 TRADEMARKVISION AI & Machine Learning Introduction
11.9.4 TRADEMARKVISION Revenue in AI & Machine Learning Business (2018-2023)
11.9.5 TRADEMARKVISION Recent Development
11.10 DESCARTES LABS
11.10.1 DESCARTES LABS Company Detail
11.10.2 DESCARTES LABS Business Overview
11.10.3 DESCARTES LABS AI & Machine Learning Introduction
11.10.4 DESCARTES LABS Revenue in AI & Machine Learning Business (2018-2023)
11.10.5 DESCARTES LABS Recent Development
11.11 Amazon
11.11.1 Amazon Company Detail
11.11.2 Amazon Business Overview
11.11.3 Amazon AI & Machine Learning Introduction
11.11.4 Amazon Revenue in AI & Machine Learning Business (2018-2023)
11.11.5 Amazon 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
GOOGLE
IBM
BAIDU
SOUNDHOUND
ZEBRA MEDICAL VISION
PRISMA
IRIS AI
PINTEREST
TRADEMARKVISION
DESCARTES LABS
Amazon
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*If Applicable.
