Industry: Service & Software
Published Date: 2025-02-27
Pages: 109 Pages
Report ld: 4311241
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The global market for AI & Machine Learning was estimated to be worth US$ million in 2024 and is forecast to a readjusted size of US$ million by 2031 with a CAGR of %during the forecast period 2025-2031.
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 1/89 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI & Machine Learning, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI & Machine Learning by region & country, by Type, and by Application.
The AI & Machine Learning market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. 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.
MARKET SEGMENTATION
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 & Machine Learning company 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 & 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 AI & 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.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Market Overview
1.1 AI & Machine Learning Product Introduction
1.2 Global AI & Machine Learning Market Size Forecast (2020-2031)
1.3 AI & Machine Learning Market Trends & Drivers
1.3.1 AI & Machine Learning Industry Trends
1.3.2 AI & Machine Learning Market Drivers & Opportunity
1.3.3 AI & Machine Learning Market Challenges
1.3.4 AI & Machine Learning Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI & Machine Learning Players Revenue Ranking (2024)
2.2 Global AI & Machine Learning Revenue by Company (2020-2025)
2.3 Key Companies AI & Machine Learning Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI & Machine Learning Product Offered
2.5 Key Companies Time to Begin Mass Production of AI & Machine Learning
2.6 AI & Machine Learning Market Competitive Analysis
2.6.1 AI & Machine Learning Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by AI & Machine Learning Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI & Machine Learning as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 TensorFlow
3.1.2 Caffe2
3.1.3 Apache MXNet
3.2 Global AI & Machine Learning Sales Value by Type
3.2.1 Global AI & Machine Learning Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global AI & Machine Learning Sales Value, by Type (2020-2031)
3.2.3 Global AI & Machine Learning Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Automotive
4.1.2 Santific Research
4.1.3 Big Date
4.1.4 Others
4.2 Global AI & Machine Learning Sales Value by Application
4.2.1 Global AI & Machine Learning Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global AI & Machine Learning Sales Value, by Application (2020-2031)
4.2.3 Global AI & Machine Learning Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global AI & Machine Learning Sales Value by Region
5.1.1 Global AI & Machine Learning Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global AI & Machine Learning Sales Value by Region (2020-2025)
5.1.3 Global AI & Machine Learning Sales Value by Region (2026-2031)
5.1.4 Global AI & Machine Learning Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America AI & Machine Learning Sales Value, 2020-2031
5.2.2 North America AI & Machine Learning Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe AI & Machine Learning Sales Value, 2020-2031
5.3.2 Europe AI & Machine Learning Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific AI & Machine Learning Sales Value, 2020-2031
5.4.2 Asia Pacific AI & Machine Learning Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America AI & Machine Learning Sales Value, 2020-2031
5.5.2 South America AI & Machine Learning Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI & Machine Learning Sales Value, 2020-2031
5.6.2 Middle East & Africa AI & Machine Learning Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI & Machine Learning Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions AI & Machine Learning Sales Value, 2020-2031
6.3 United States
6.3.1 United States AI & Machine Learning Sales Value, 2020-2031
6.3.2 United States AI & Machine Learning Sales Value by Type (%), 2024 VS 2031
6.3.3 United States AI & Machine Learning Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe AI & Machine Learning Sales Value, 2020-2031
6.4.2 Europe AI & Machine Learning Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe AI & Machine Learning Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China AI & Machine Learning Sales Value, 2020-2031
6.5.2 China AI & Machine Learning Sales Value by Type (%), 2024 VS 2031
6.5.3 China AI & Machine Learning Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan AI & Machine Learning Sales Value, 2020-2031
6.6.2 Japan AI & Machine Learning Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan AI & Machine Learning Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea AI & Machine Learning Sales Value, 2020-2031
6.7.2 South Korea AI & Machine Learning Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea AI & Machine Learning Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia AI & Machine Learning Sales Value, 2020-2031
6.8.2 Southeast Asia AI & Machine Learning Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia AI & Machine Learning Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India AI & Machine Learning Sales Value, 2020-2031
6.9.2 India AI & Machine Learning Sales Value by Type (%), 2024 VS 2031
6.9.3 India AI & Machine Learning Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 GOOGLE
7.1.1 GOOGLE Profile
7.1.2 GOOGLE Main Business
7.1.3 GOOGLE AI & Machine Learning Products, Services and Solutions
7.1.4 GOOGLE AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.1.5 GOOGLE Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM AI & Machine Learning Products, Services and Solutions
7.2.4 IBM AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.2.5 IBM Recent Developments
7.3 BAIDU
7.3.1 BAIDU Profile
7.3.2 BAIDU Main Business
7.3.3 BAIDU AI & Machine Learning Products, Services and Solutions
7.3.4 BAIDU AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.3.5 BAIDU Recent Developments
7.4 SOUNDHOUND
7.4.1 SOUNDHOUND Profile
7.4.2 SOUNDHOUND Main Business
7.4.3 SOUNDHOUND AI & Machine Learning Products, Services and Solutions
7.4.4 SOUNDHOUND AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.4.5 SOUNDHOUND Recent Developments
7.5 ZEBRA MEDICAL VISION
7.5.1 ZEBRA MEDICAL VISION Profile
7.5.2 ZEBRA MEDICAL VISION Main Business
7.5.3 ZEBRA MEDICAL VISION AI & Machine Learning Products, Services and Solutions
7.5.4 ZEBRA MEDICAL VISION AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.5.5 ZEBRA MEDICAL VISION Recent Developments
7.6 PRISMA
7.6.1 PRISMA Profile
7.6.2 PRISMA Main Business
7.6.3 PRISMA AI & Machine Learning Products, Services and Solutions
7.6.4 PRISMA AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.6.5 PRISMA Recent Developments
7.7 IRIS AI
7.7.1 IRIS AI Profile
7.7.2 IRIS AI Main Business
7.7.3 IRIS AI AI & Machine Learning Products, Services and Solutions
7.7.4 IRIS AI AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.7.5 IRIS AI Recent Developments
7.8 PINTEREST
7.8.1 PINTEREST Profile
7.8.2 PINTEREST Main Business
7.8.3 PINTEREST AI & Machine Learning Products, Services and Solutions
7.8.4 PINTEREST AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.8.5 PINTEREST Recent Developments
7.9 TRADEMARKVISION
7.9.1 TRADEMARKVISION Profile
7.9.2 TRADEMARKVISION Main Business
7.9.3 TRADEMARKVISION AI & Machine Learning Products, Services and Solutions
7.9.4 TRADEMARKVISION AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.9.5 TRADEMARKVISION Recent Developments
7.10 DESCARTES LABS
7.10.1 DESCARTES LABS Profile
7.10.2 DESCARTES LABS Main Business
7.10.3 DESCARTES LABS AI & Machine Learning Products, Services and Solutions
7.10.4 DESCARTES LABS AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.10.5 DESCARTES LABS Recent Developments
7.11 Amazon
7.11.1 Amazon Profile
7.11.2 Amazon Main Business
7.11.3 Amazon AI & Machine Learning Products, Services and Solutions
7.11.4 Amazon AI & Machine Learning Revenue (US$ Million) & (2020-2025)
7.11.5 Amazon Recent Developments
8 Industry Chain Analysis
8.1 AI & Machine Learning Industrial Chain
8.2 AI & 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 AI & Machine Learning Sales Model
8.5.2 Sales Channel
8.5.3 AI & Machine Learning Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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