The global market for Artificial Intelligence in Machine Learning 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.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.63%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Machine Learning, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence in Machine Learning by region & country, by Type, and by Application.
The Artificial Intelligence in Machine Learning market size, estimations, and forecasts are provided in terms of sales revenue ($ 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 Artificial Intelligence in Machine Learning.
Âé¶¹Ô´´ Segmentation
By Company
Google
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
KITT.AI
Albert Technologies
H2O.ai
Brainasoft
Yseop
Ipsoft
NanoRep(LogMeIn)
Ada Support
Astute Solutions
IDEAL
Wipro
Segment by Type:
On-Premise
Cloud-based
Segment by Application
BFSI
Retail
Telecommunication
Manufacturing
Defense
Automotive
Others
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 Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning 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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1 Âé¶¹Ô´´ Overview
1.1 Artificial Intelligence in Machine Learning Product Introduction
1.2 Global Artificial Intelligence in Machine Learning Âé¶¹Ô´´ Size Forecast
1.3 Artificial Intelligence in Machine Learning Âé¶¹Ô´´ Trends & Drivers
1.3.1 Artificial Intelligence in Machine Learning Industry Trends
1.3.2 Artificial Intelligence in Machine Learning Âé¶¹Ô´´ Drivers & Opportunity
1.3.3 Artificial Intelligence in Machine Learning Âé¶¹Ô´´ Challenges
1.3.4 Artificial Intelligence in Machine Learning Âé¶¹Ô´´ Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence in Machine Learning Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence in Machine Learning Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence in Machine Learning Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence in Machine Learning Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence in Machine Learning
2.6 Artificial Intelligence in Machine Learning Âé¶¹Ô´´ Competitive Analysis
2.6.1 Artificial Intelligence in Machine Learning Âé¶¹Ô´´ Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence in Machine Learning Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Sales Value by Type
3.2.1 Global Artificial Intelligence in Machine Learning Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence in Machine Learning Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence in Machine Learning Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 BFSI
4.1.2 Retail
4.1.3 Telecommunication
4.1.4 Manufacturing
4.1.5 Defense
4.1.6 Automotive
4.1.7 Others
4.2 Global Artificial Intelligence in Machine Learning Sales Value by Application
4.2.1 Global Artificial Intelligence in Machine Learning Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence in Machine Learning Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence in Machine Learning Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence in Machine Learning Sales Value by Region
5.1.1 Global Artificial Intelligence in Machine Learning Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence in Machine Learning Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence in Machine Learning Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence in Machine Learning Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence in Machine Learning Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence in Machine Learning Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence in Machine Learning Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence in Machine Learning Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence in Machine Learning Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence in Machine Learning Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence in Machine Learning Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence in Machine Learning Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence in Machine Learning Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence in Machine Learning Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence in Machine Learning Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence in Machine Learning Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence in Machine Learning Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence in Machine Learning Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence in Machine Learning Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence in Machine Learning Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence in Machine Learning Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence in Machine Learning Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence in Machine Learning Sales Value, 2019-2030
6.5.2 China Artificial Intelligence in Machine Learning Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence in Machine Learning Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence in Machine Learning Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence in Machine Learning Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence in Machine Learning Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence in Machine Learning Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence in Machine Learning Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence in Machine Learning Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence in Machine Learning Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence in Machine Learning Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence in Machine Learning Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence in Machine Learning Sales Value, 2019-2030
6.9.2 India Artificial Intelligence in Machine Learning Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.1.4 Google Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.2.4 Baidu Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.3.4 IBM Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.4.4 Microsoft Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.5.4 SAP Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.6.4 Intel Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.7.4 Salesforce Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.8.4 Brighterion Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.9.4 KITT.AI Artificial Intelligence in Machine Learning Revenue (US$ Million) & (2019-2024)
7.9.5 KITT.AI Recent Developments
7.10 Albert Technologies
7.10.1 Albert Technologies Profile
7.10.2 Albert Technologies Main Business
7.10.3 Albert Technologies Artificial Intelligence in Machine Learning Products, Services and Solutions
7.10.4 Albert Technologies Artificial Intelligence in Machine Learning Revenue (US$ Million) & (2019-2024)
7.10.5 Albert Technologies Recent Developments
7.11 H2O.ai
7.11.1 H2O.ai Profile
7.11.2 H2O.ai Main Business
7.11.3 H2O.ai Artificial Intelligence in Machine Learning Products, Services and Solutions
7.11.4 H2O.ai Artificial Intelligence in Machine Learning Revenue (US$ Million) & (2019-2024)
7.11.5 H2O.ai Recent Developments
7.12 Brainasoft
7.12.1 Brainasoft Profile
7.12.2 Brainasoft Main Business
7.12.3 Brainasoft Artificial Intelligence in Machine Learning Products, Services and Solutions
7.12.4 Brainasoft Artificial Intelligence in Machine Learning Revenue (US$ Million) & (2019-2024)
7.12.5 Brainasoft Recent Developments
7.13 Yseop
7.13.1 Yseop Profile
7.13.2 Yseop Main Business
7.13.3 Yseop Artificial Intelligence in Machine Learning Products, Services and Solutions
7.13.4 Yseop Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.14.4 Ipsoft Artificial Intelligence in Machine Learning 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) Artificial Intelligence in Machine Learning Products, Services and Solutions
7.15.4 NanoRep(LogMeIn) Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.16.4 Ada Support Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.17.4 Astute Solutions Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.18.4 IDEAL Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Products, Services and Solutions
7.19.4 Wipro Artificial Intelligence in Machine Learning Revenue (US$ Million) & (2019-2024)
7.19.5 Wipro Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence in Machine Learning Industrial Chain
8.2 Artificial Intelligence in Machine Learning 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 Artificial Intelligence in Machine Learning Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence in Machine Learning 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
Google
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
KITT.AI
Albert Technologies
H2O.ai
Brainasoft
Yseop
Ipsoft
NanoRep(LogMeIn)
Ada Support
Astute Solutions
IDEAL
Wipro
Ìý
Ìý
*If Applicable.