Global Machine Learning research

Machine Learning Comprehensive Study by Type (Supervised Machine Learning, Unsupervised Machine Learning, Semi-Supervised Machine Learning, Reinforcement Learning), Components (Hardware, Software, Services), Organization Size (SMEs, Large Enterprises), Industry Vertical (BFSI, Healthcare and Life Sciences, Retail & E-commerce, Travel & Tourism, Manufacturing, IT & Telecommunication, Government, Defense, Others), Deployment (Cloud, On-Premises) Players and Region - Global Market Outlook to 2030

Machine Learning Market by XX Submarkets | Forecast Years 2024-2030  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Machine learning is a subset of artificial intelligence. The concept developed from arithmetic learning and pattern recognition in artificial intelligence. It examines the construction and investigation of algorithms and makes predictions about data. Machine learning applications include email filtering, optical character recognition (OCR), intrusion detection, computer vision, and rank learning. Machine learning solutions are used extensively by companies worldwide to improve the customer experience and ROI and to achieve competitive advantages in business operations. In addition, machine learning applications in various industries are expected to grow exponentially in the coming years. Technological progress and proliferation in data generation are some of the main drivers for the market. Artificial Intelligence (AI), Virtual Reality (VR) and Augmented Reality (AR) solutions are expected to make a significant contribution to responding to the COVID-19 pandemic and to meet evolving challenges. The current situation due to the outbreak of the epidemic will inspire pharmaceutical companies and healthcare institutions to improve their R&D investment in AI. This is a core technology for enabling various initiatives. VR / AR can help with e-learning, for which demand will increase due to the closure of many schools and universities. In addition, VR / AR can also prove to be a valuable solution for providing remote support as it can help avoid unnecessary travel.This growth is primarily driven by Increase Efficiency and Save Costs for Managing On-Demand Machine Learning Services .

AttributesDetails
Study Period2018-2030
Base Year2023
Forecast Period2024-2030
Volume UnitN
Value UnitUSD (Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


The Internet Software & Services sector in the region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Microsoft Corporation (United States), Sap SE (Germany), SAS Institute Inc. (United States), Amazon Web Services, Inc. (United States), Bigml, Inc. (Spain), Google Inc. (United States), Fair Isaac Corporation (United States), Baidu, Inc. (China), Hewlett Packard Enterprise Development (United States), Intel Corporation (United States) and H2O.Ai, Inc. (United States), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

The companies are exploring the market by adopting expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions across the globe to avail of competitive advantage through combined collaborations.

Influencing Trend:
Growing Adoption of Hardware Optimized For Machine Learning, Increased Cyber Risks to Critical Business Information and Data, Increased Concerns for Managing the Complex Business Processes and Increased Collaboration, Monitoring Document Version Control, And Data Loss Prevention

Market Growth Drivers:
Increase Efficiency and Save Costs for Managing On-Demand Machine Learning Services, Growth of the Professional Services Segment Is Mainly Governed By the Complexity of Operations and Rapidly Emerging and Highly Active SMEs

Challenges:
Lack of Adequately Skilled Workforce

Restraints:
Data Privacy, Security, And Reliability Concerns

Opportunities:
Increasing Deployment of Machine Learning Solutions, Rising Adoption of This Technology in Emerging Healthcare Areas and Technological Advancement and Proliferation in Data Generation

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mainly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the market's growth. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Data Sources of Machine Learning Market Study

Primary Collection: InMail, LinkedIn Groups, Survey Monkey, Google, and Other professional Forums are some of the mediums utilized to gather primary data through key industry participants and appointees, subject-matter experts, C-level executives of Machine Learning Industry, among others including independent industry consultants, experts, to obtain and verify critical qualitative commentary and opinion and quantitative statistics, to assess future market prospects.

The primary interviews and data collected as per the below protocols:
• By Designation: C-Level, D-Level, Others
• By Company Type: Tier 1, Tier 2, Tier 3

Secondary Data Sources such as Annual reports, Press releases, Analyst meetings, Conference calls, Investor presentations, Management statements, and SEC filings of Machine Learning players along with Regulatory Sites, Association, World bank, etc were used as sources secondary set of data.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Machine Learning Study Sheds Light on
— The Machine Learning Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Machine Learning industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Machine Learning industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Semi-Supervised Machine Learning
  • Reinforcement Learning
By Components
  • Hardware
  • Software
  • Services

By Organization Size
  • SMEs
  • Large Enterprises

By Industry Vertical
  • BFSI
  • Healthcare and Life Sciences
  • Retail & E-commerce
  • Travel & Tourism
  • Manufacturing
  • IT & Telecommunication
  • Government
  • Defense
  • Others

By Deployment
  • Cloud
  • On-Premises

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increase Efficiency and Save Costs for Managing On-Demand Machine Learning Services
      • 3.2.2. Growth of the Professional Services Segment Is Mainly Governed By the Complexity of Operations
      • 3.2.3. Rapidly Emerging and Highly Active SMEs
    • 3.3. Market Challenges
      • 3.3.1. Lack of Adequately Skilled Workforce
    • 3.4. Market Trends
      • 3.4.1. Growing Adoption of Hardware Optimized For Machine Learning
      • 3.4.2. Increased Cyber Risks to Critical Business Information and Data
      • 3.4.3. Increased Concerns for Managing the Complex Business Processes
      • 3.4.4. Increased Collaboration, Monitoring Document Version Control, And Data Loss Prevention
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Machine Learning, by Type, Components, Organization Size, Industry Vertical, Deployment and Region (value and price ) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Machine Learning (Value)
      • 5.2.1. Global Machine Learning by: Type (Value)
        • 5.2.1.1. Supervised Machine Learning
        • 5.2.1.2. Unsupervised Machine Learning
        • 5.2.1.3. Semi-Supervised Machine Learning
        • 5.2.1.4. Reinforcement Learning
      • 5.2.2. Global Machine Learning by: Components (Value)
        • 5.2.2.1. Hardware
        • 5.2.2.2. Software
        • 5.2.2.3. Services
      • 5.2.3. Global Machine Learning by: Organization Size (Value)
        • 5.2.3.1. SMEs
        • 5.2.3.2. Large Enterprises
      • 5.2.4. Global Machine Learning by: Industry Vertical (Value)
        • 5.2.4.1. BFSI
        • 5.2.4.2. Healthcare and Life Sciences
        • 5.2.4.3. Retail & E-commerce
        • 5.2.4.4. Travel & Tourism
        • 5.2.4.5. Manufacturing
        • 5.2.4.6. IT & Telecommunication
        • 5.2.4.7. Government
        • 5.2.4.8. Defense
        • 5.2.4.9. Others
      • 5.2.5. Global Machine Learning by: Deployment (Value)
        • 5.2.5.1. Cloud
        • 5.2.5.2. On-Premises
      • 5.2.6. Global Machine Learning Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
    • 5.3. Global Machine Learning (Price)
      • 5.3.1. Global Machine Learning by: Type (Price)
  • 6. Machine Learning: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Microsoft Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Sap SE (Germany)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. SAS Institute Inc. (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Amazon Web Services, Inc. (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Bigml, Inc. (Spain)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Google Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Fair Isaac Corporation (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Baidu, Inc. (China)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Hewlett Packard Enterprise Development (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Intel Corporation (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. H2O.Ai, Inc. (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
  • 7. Global Machine Learning Sale, by Type, Components, Organization Size, Industry Vertical, Deployment and Region (value and price ) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Machine Learning (Value)
      • 7.2.1. Global Machine Learning by: Type (Value)
        • 7.2.1.1. Supervised Machine Learning
        • 7.2.1.2. Unsupervised Machine Learning
        • 7.2.1.3. Semi-Supervised Machine Learning
        • 7.2.1.4. Reinforcement Learning
      • 7.2.2. Global Machine Learning by: Components (Value)
        • 7.2.2.1. Hardware
        • 7.2.2.2. Software
        • 7.2.2.3. Services
      • 7.2.3. Global Machine Learning by: Organization Size (Value)
        • 7.2.3.1. SMEs
        • 7.2.3.2. Large Enterprises
      • 7.2.4. Global Machine Learning by: Industry Vertical (Value)
        • 7.2.4.1. BFSI
        • 7.2.4.2. Healthcare and Life Sciences
        • 7.2.4.3. Retail & E-commerce
        • 7.2.4.4. Travel & Tourism
        • 7.2.4.5. Manufacturing
        • 7.2.4.6. IT & Telecommunication
        • 7.2.4.7. Government
        • 7.2.4.8. Defense
        • 7.2.4.9. Others
      • 7.2.5. Global Machine Learning by: Deployment (Value)
        • 7.2.5.1. Cloud
        • 7.2.5.2. On-Premises
      • 7.2.6. Global Machine Learning Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. Mexico
    • 7.3. Global Machine Learning (Price)
      • 7.3.1. Global Machine Learning by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Machine Learning: by Type(USD Million)
  • Table 2. Machine Learning Supervised Machine Learning , by Region USD Million (2018-2023)
  • Table 3. Machine Learning Unsupervised Machine Learning , by Region USD Million (2018-2023)
  • Table 4. Machine Learning Semi-Supervised Machine Learning , by Region USD Million (2018-2023)
  • Table 5. Machine Learning Reinforcement Learning , by Region USD Million (2018-2023)
  • Table 6. Machine Learning: by Components(USD Million)
  • Table 7. Machine Learning Hardware , by Region USD Million (2018-2023)
  • Table 8. Machine Learning Software , by Region USD Million (2018-2023)
  • Table 9. Machine Learning Services , by Region USD Million (2018-2023)
  • Table 10. Machine Learning: by Organization Size(USD Million)
  • Table 11. Machine Learning SMEs , by Region USD Million (2018-2023)
  • Table 12. Machine Learning Large Enterprises , by Region USD Million (2018-2023)
  • Table 13. Machine Learning: by Industry Vertical(USD Million)
  • Table 14. Machine Learning BFSI , by Region USD Million (2018-2023)
  • Table 15. Machine Learning Healthcare and Life Sciences , by Region USD Million (2018-2023)
  • Table 16. Machine Learning Retail & E-commerce , by Region USD Million (2018-2023)
  • Table 17. Machine Learning Travel & Tourism , by Region USD Million (2018-2023)
  • Table 18. Machine Learning Manufacturing , by Region USD Million (2018-2023)
  • Table 19. Machine Learning IT & Telecommunication , by Region USD Million (2018-2023)
  • Table 20. Machine Learning Government , by Region USD Million (2018-2023)
  • Table 21. Machine Learning Defense , by Region USD Million (2018-2023)
  • Table 22. Machine Learning Others , by Region USD Million (2018-2023)
  • Table 23. Machine Learning: by Deployment(USD Million)
  • Table 24. Machine Learning Cloud , by Region USD Million (2018-2023)
  • Table 25. Machine Learning On-Premises , by Region USD Million (2018-2023)
  • Table 26. South America Machine Learning, by Country USD Million (2018-2023)
  • Table 27. South America Machine Learning, by Type USD Million (2018-2023)
  • Table 28. South America Machine Learning, by Components USD Million (2018-2023)
  • Table 29. South America Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 30. South America Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 31. South America Machine Learning, by Deployment USD Million (2018-2023)
  • Table 32. Brazil Machine Learning, by Type USD Million (2018-2023)
  • Table 33. Brazil Machine Learning, by Components USD Million (2018-2023)
  • Table 34. Brazil Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 35. Brazil Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 36. Brazil Machine Learning, by Deployment USD Million (2018-2023)
  • Table 37. Argentina Machine Learning, by Type USD Million (2018-2023)
  • Table 38. Argentina Machine Learning, by Components USD Million (2018-2023)
  • Table 39. Argentina Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 40. Argentina Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 41. Argentina Machine Learning, by Deployment USD Million (2018-2023)
  • Table 42. Rest of South America Machine Learning, by Type USD Million (2018-2023)
  • Table 43. Rest of South America Machine Learning, by Components USD Million (2018-2023)
  • Table 44. Rest of South America Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 45. Rest of South America Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 46. Rest of South America Machine Learning, by Deployment USD Million (2018-2023)
  • Table 47. Asia Pacific Machine Learning, by Country USD Million (2018-2023)
  • Table 48. Asia Pacific Machine Learning, by Type USD Million (2018-2023)
  • Table 49. Asia Pacific Machine Learning, by Components USD Million (2018-2023)
  • Table 50. Asia Pacific Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 51. Asia Pacific Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 52. Asia Pacific Machine Learning, by Deployment USD Million (2018-2023)
  • Table 53. China Machine Learning, by Type USD Million (2018-2023)
  • Table 54. China Machine Learning, by Components USD Million (2018-2023)
  • Table 55. China Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 56. China Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 57. China Machine Learning, by Deployment USD Million (2018-2023)
  • Table 58. Japan Machine Learning, by Type USD Million (2018-2023)
  • Table 59. Japan Machine Learning, by Components USD Million (2018-2023)
  • Table 60. Japan Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 61. Japan Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 62. Japan Machine Learning, by Deployment USD Million (2018-2023)
  • Table 63. India Machine Learning, by Type USD Million (2018-2023)
  • Table 64. India Machine Learning, by Components USD Million (2018-2023)
  • Table 65. India Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 66. India Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 67. India Machine Learning, by Deployment USD Million (2018-2023)
  • Table 68. South Korea Machine Learning, by Type USD Million (2018-2023)
  • Table 69. South Korea Machine Learning, by Components USD Million (2018-2023)
  • Table 70. South Korea Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 71. South Korea Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 72. South Korea Machine Learning, by Deployment USD Million (2018-2023)
  • Table 73. Taiwan Machine Learning, by Type USD Million (2018-2023)
  • Table 74. Taiwan Machine Learning, by Components USD Million (2018-2023)
  • Table 75. Taiwan Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 76. Taiwan Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 77. Taiwan Machine Learning, by Deployment USD Million (2018-2023)
  • Table 78. Australia Machine Learning, by Type USD Million (2018-2023)
  • Table 79. Australia Machine Learning, by Components USD Million (2018-2023)
  • Table 80. Australia Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 81. Australia Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 82. Australia Machine Learning, by Deployment USD Million (2018-2023)
  • Table 83. Rest of Asia-Pacific Machine Learning, by Type USD Million (2018-2023)
  • Table 84. Rest of Asia-Pacific Machine Learning, by Components USD Million (2018-2023)
  • Table 85. Rest of Asia-Pacific Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 86. Rest of Asia-Pacific Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 87. Rest of Asia-Pacific Machine Learning, by Deployment USD Million (2018-2023)
  • Table 88. Europe Machine Learning, by Country USD Million (2018-2023)
  • Table 89. Europe Machine Learning, by Type USD Million (2018-2023)
  • Table 90. Europe Machine Learning, by Components USD Million (2018-2023)
  • Table 91. Europe Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 92. Europe Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 93. Europe Machine Learning, by Deployment USD Million (2018-2023)
  • Table 94. Germany Machine Learning, by Type USD Million (2018-2023)
  • Table 95. Germany Machine Learning, by Components USD Million (2018-2023)
  • Table 96. Germany Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 97. Germany Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 98. Germany Machine Learning, by Deployment USD Million (2018-2023)
  • Table 99. France Machine Learning, by Type USD Million (2018-2023)
  • Table 100. France Machine Learning, by Components USD Million (2018-2023)
  • Table 101. France Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 102. France Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 103. France Machine Learning, by Deployment USD Million (2018-2023)
  • Table 104. Italy Machine Learning, by Type USD Million (2018-2023)
  • Table 105. Italy Machine Learning, by Components USD Million (2018-2023)
  • Table 106. Italy Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 107. Italy Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 108. Italy Machine Learning, by Deployment USD Million (2018-2023)
  • Table 109. United Kingdom Machine Learning, by Type USD Million (2018-2023)
  • Table 110. United Kingdom Machine Learning, by Components USD Million (2018-2023)
  • Table 111. United Kingdom Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 112. United Kingdom Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 113. United Kingdom Machine Learning, by Deployment USD Million (2018-2023)
  • Table 114. Netherlands Machine Learning, by Type USD Million (2018-2023)
  • Table 115. Netherlands Machine Learning, by Components USD Million (2018-2023)
  • Table 116. Netherlands Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 117. Netherlands Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 118. Netherlands Machine Learning, by Deployment USD Million (2018-2023)
  • Table 119. Rest of Europe Machine Learning, by Type USD Million (2018-2023)
  • Table 120. Rest of Europe Machine Learning, by Components USD Million (2018-2023)
  • Table 121. Rest of Europe Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 122. Rest of Europe Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 123. Rest of Europe Machine Learning, by Deployment USD Million (2018-2023)
  • Table 124. MEA Machine Learning, by Country USD Million (2018-2023)
  • Table 125. MEA Machine Learning, by Type USD Million (2018-2023)
  • Table 126. MEA Machine Learning, by Components USD Million (2018-2023)
  • Table 127. MEA Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 128. MEA Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 129. MEA Machine Learning, by Deployment USD Million (2018-2023)
  • Table 130. Middle East Machine Learning, by Type USD Million (2018-2023)
  • Table 131. Middle East Machine Learning, by Components USD Million (2018-2023)
  • Table 132. Middle East Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 133. Middle East Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 134. Middle East Machine Learning, by Deployment USD Million (2018-2023)
  • Table 135. Africa Machine Learning, by Type USD Million (2018-2023)
  • Table 136. Africa Machine Learning, by Components USD Million (2018-2023)
  • Table 137. Africa Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 138. Africa Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 139. Africa Machine Learning, by Deployment USD Million (2018-2023)
  • Table 140. North America Machine Learning, by Country USD Million (2018-2023)
  • Table 141. North America Machine Learning, by Type USD Million (2018-2023)
  • Table 142. North America Machine Learning, by Components USD Million (2018-2023)
  • Table 143. North America Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 144. North America Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 145. North America Machine Learning, by Deployment USD Million (2018-2023)
  • Table 146. United States Machine Learning, by Type USD Million (2018-2023)
  • Table 147. United States Machine Learning, by Components USD Million (2018-2023)
  • Table 148. United States Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 149. United States Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 150. United States Machine Learning, by Deployment USD Million (2018-2023)
  • Table 151. Canada Machine Learning, by Type USD Million (2018-2023)
  • Table 152. Canada Machine Learning, by Components USD Million (2018-2023)
  • Table 153. Canada Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 154. Canada Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 155. Canada Machine Learning, by Deployment USD Million (2018-2023)
  • Table 156. Mexico Machine Learning, by Type USD Million (2018-2023)
  • Table 157. Mexico Machine Learning, by Components USD Million (2018-2023)
  • Table 158. Mexico Machine Learning, by Organization Size USD Million (2018-2023)
  • Table 159. Mexico Machine Learning, by Industry Vertical USD Million (2018-2023)
  • Table 160. Mexico Machine Learning, by Deployment USD Million (2018-2023)
  • Table 161. Machine Learning: by Type(USD/Units)
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Company Basic Information, Sales Area and Its Competitors
  • Table 169. Company Basic Information, Sales Area and Its Competitors
  • Table 170. Company Basic Information, Sales Area and Its Competitors
  • Table 171. Company Basic Information, Sales Area and Its Competitors
  • Table 172. Company Basic Information, Sales Area and Its Competitors
  • Table 173. Machine Learning: by Type(USD Million)
  • Table 174. Machine Learning Supervised Machine Learning , by Region USD Million (2025-2030)
  • Table 175. Machine Learning Unsupervised Machine Learning , by Region USD Million (2025-2030)
  • Table 176. Machine Learning Semi-Supervised Machine Learning , by Region USD Million (2025-2030)
  • Table 177. Machine Learning Reinforcement Learning , by Region USD Million (2025-2030)
  • Table 178. Machine Learning: by Components(USD Million)
  • Table 179. Machine Learning Hardware , by Region USD Million (2025-2030)
  • Table 180. Machine Learning Software , by Region USD Million (2025-2030)
  • Table 181. Machine Learning Services , by Region USD Million (2025-2030)
  • Table 182. Machine Learning: by Organization Size(USD Million)
  • Table 183. Machine Learning SMEs , by Region USD Million (2025-2030)
  • Table 184. Machine Learning Large Enterprises , by Region USD Million (2025-2030)
  • Table 185. Machine Learning: by Industry Vertical(USD Million)
  • Table 186. Machine Learning BFSI , by Region USD Million (2025-2030)
  • Table 187. Machine Learning Healthcare and Life Sciences , by Region USD Million (2025-2030)
  • Table 188. Machine Learning Retail & E-commerce , by Region USD Million (2025-2030)
  • Table 189. Machine Learning Travel & Tourism , by Region USD Million (2025-2030)
  • Table 190. Machine Learning Manufacturing , by Region USD Million (2025-2030)
  • Table 191. Machine Learning IT & Telecommunication , by Region USD Million (2025-2030)
  • Table 192. Machine Learning Government , by Region USD Million (2025-2030)
  • Table 193. Machine Learning Defense , by Region USD Million (2025-2030)
  • Table 194. Machine Learning Others , by Region USD Million (2025-2030)
  • Table 195. Machine Learning: by Deployment(USD Million)
  • Table 196. Machine Learning Cloud , by Region USD Million (2025-2030)
  • Table 197. Machine Learning On-Premises , by Region USD Million (2025-2030)
  • Table 198. South America Machine Learning, by Country USD Million (2025-2030)
  • Table 199. South America Machine Learning, by Type USD Million (2025-2030)
  • Table 200. South America Machine Learning, by Components USD Million (2025-2030)
  • Table 201. South America Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 202. South America Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 203. South America Machine Learning, by Deployment USD Million (2025-2030)
  • Table 204. Brazil Machine Learning, by Type USD Million (2025-2030)
  • Table 205. Brazil Machine Learning, by Components USD Million (2025-2030)
  • Table 206. Brazil Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 207. Brazil Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 208. Brazil Machine Learning, by Deployment USD Million (2025-2030)
  • Table 209. Argentina Machine Learning, by Type USD Million (2025-2030)
  • Table 210. Argentina Machine Learning, by Components USD Million (2025-2030)
  • Table 211. Argentina Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 212. Argentina Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 213. Argentina Machine Learning, by Deployment USD Million (2025-2030)
  • Table 214. Rest of South America Machine Learning, by Type USD Million (2025-2030)
  • Table 215. Rest of South America Machine Learning, by Components USD Million (2025-2030)
  • Table 216. Rest of South America Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 217. Rest of South America Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 218. Rest of South America Machine Learning, by Deployment USD Million (2025-2030)
  • Table 219. Asia Pacific Machine Learning, by Country USD Million (2025-2030)
  • Table 220. Asia Pacific Machine Learning, by Type USD Million (2025-2030)
  • Table 221. Asia Pacific Machine Learning, by Components USD Million (2025-2030)
  • Table 222. Asia Pacific Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 223. Asia Pacific Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 224. Asia Pacific Machine Learning, by Deployment USD Million (2025-2030)
  • Table 225. China Machine Learning, by Type USD Million (2025-2030)
  • Table 226. China Machine Learning, by Components USD Million (2025-2030)
  • Table 227. China Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 228. China Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 229. China Machine Learning, by Deployment USD Million (2025-2030)
  • Table 230. Japan Machine Learning, by Type USD Million (2025-2030)
  • Table 231. Japan Machine Learning, by Components USD Million (2025-2030)
  • Table 232. Japan Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 233. Japan Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 234. Japan Machine Learning, by Deployment USD Million (2025-2030)
  • Table 235. India Machine Learning, by Type USD Million (2025-2030)
  • Table 236. India Machine Learning, by Components USD Million (2025-2030)
  • Table 237. India Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 238. India Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 239. India Machine Learning, by Deployment USD Million (2025-2030)
  • Table 240. South Korea Machine Learning, by Type USD Million (2025-2030)
  • Table 241. South Korea Machine Learning, by Components USD Million (2025-2030)
  • Table 242. South Korea Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 243. South Korea Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 244. South Korea Machine Learning, by Deployment USD Million (2025-2030)
  • Table 245. Taiwan Machine Learning, by Type USD Million (2025-2030)
  • Table 246. Taiwan Machine Learning, by Components USD Million (2025-2030)
  • Table 247. Taiwan Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 248. Taiwan Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 249. Taiwan Machine Learning, by Deployment USD Million (2025-2030)
  • Table 250. Australia Machine Learning, by Type USD Million (2025-2030)
  • Table 251. Australia Machine Learning, by Components USD Million (2025-2030)
  • Table 252. Australia Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 253. Australia Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 254. Australia Machine Learning, by Deployment USD Million (2025-2030)
  • Table 255. Rest of Asia-Pacific Machine Learning, by Type USD Million (2025-2030)
  • Table 256. Rest of Asia-Pacific Machine Learning, by Components USD Million (2025-2030)
  • Table 257. Rest of Asia-Pacific Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 258. Rest of Asia-Pacific Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 259. Rest of Asia-Pacific Machine Learning, by Deployment USD Million (2025-2030)
  • Table 260. Europe Machine Learning, by Country USD Million (2025-2030)
  • Table 261. Europe Machine Learning, by Type USD Million (2025-2030)
  • Table 262. Europe Machine Learning, by Components USD Million (2025-2030)
  • Table 263. Europe Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 264. Europe Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 265. Europe Machine Learning, by Deployment USD Million (2025-2030)
  • Table 266. Germany Machine Learning, by Type USD Million (2025-2030)
  • Table 267. Germany Machine Learning, by Components USD Million (2025-2030)
  • Table 268. Germany Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 269. Germany Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 270. Germany Machine Learning, by Deployment USD Million (2025-2030)
  • Table 271. France Machine Learning, by Type USD Million (2025-2030)
  • Table 272. France Machine Learning, by Components USD Million (2025-2030)
  • Table 273. France Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 274. France Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 275. France Machine Learning, by Deployment USD Million (2025-2030)
  • Table 276. Italy Machine Learning, by Type USD Million (2025-2030)
  • Table 277. Italy Machine Learning, by Components USD Million (2025-2030)
  • Table 278. Italy Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 279. Italy Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 280. Italy Machine Learning, by Deployment USD Million (2025-2030)
  • Table 281. United Kingdom Machine Learning, by Type USD Million (2025-2030)
  • Table 282. United Kingdom Machine Learning, by Components USD Million (2025-2030)
  • Table 283. United Kingdom Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 284. United Kingdom Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 285. United Kingdom Machine Learning, by Deployment USD Million (2025-2030)
  • Table 286. Netherlands Machine Learning, by Type USD Million (2025-2030)
  • Table 287. Netherlands Machine Learning, by Components USD Million (2025-2030)
  • Table 288. Netherlands Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 289. Netherlands Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 290. Netherlands Machine Learning, by Deployment USD Million (2025-2030)
  • Table 291. Rest of Europe Machine Learning, by Type USD Million (2025-2030)
  • Table 292. Rest of Europe Machine Learning, by Components USD Million (2025-2030)
  • Table 293. Rest of Europe Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 294. Rest of Europe Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 295. Rest of Europe Machine Learning, by Deployment USD Million (2025-2030)
  • Table 296. MEA Machine Learning, by Country USD Million (2025-2030)
  • Table 297. MEA Machine Learning, by Type USD Million (2025-2030)
  • Table 298. MEA Machine Learning, by Components USD Million (2025-2030)
  • Table 299. MEA Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 300. MEA Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 301. MEA Machine Learning, by Deployment USD Million (2025-2030)
  • Table 302. Middle East Machine Learning, by Type USD Million (2025-2030)
  • Table 303. Middle East Machine Learning, by Components USD Million (2025-2030)
  • Table 304. Middle East Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 305. Middle East Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 306. Middle East Machine Learning, by Deployment USD Million (2025-2030)
  • Table 307. Africa Machine Learning, by Type USD Million (2025-2030)
  • Table 308. Africa Machine Learning, by Components USD Million (2025-2030)
  • Table 309. Africa Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 310. Africa Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 311. Africa Machine Learning, by Deployment USD Million (2025-2030)
  • Table 312. North America Machine Learning, by Country USD Million (2025-2030)
  • Table 313. North America Machine Learning, by Type USD Million (2025-2030)
  • Table 314. North America Machine Learning, by Components USD Million (2025-2030)
  • Table 315. North America Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 316. North America Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 317. North America Machine Learning, by Deployment USD Million (2025-2030)
  • Table 318. United States Machine Learning, by Type USD Million (2025-2030)
  • Table 319. United States Machine Learning, by Components USD Million (2025-2030)
  • Table 320. United States Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 321. United States Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 322. United States Machine Learning, by Deployment USD Million (2025-2030)
  • Table 323. Canada Machine Learning, by Type USD Million (2025-2030)
  • Table 324. Canada Machine Learning, by Components USD Million (2025-2030)
  • Table 325. Canada Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 326. Canada Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 327. Canada Machine Learning, by Deployment USD Million (2025-2030)
  • Table 328. Mexico Machine Learning, by Type USD Million (2025-2030)
  • Table 329. Mexico Machine Learning, by Components USD Million (2025-2030)
  • Table 330. Mexico Machine Learning, by Organization Size USD Million (2025-2030)
  • Table 331. Mexico Machine Learning, by Industry Vertical USD Million (2025-2030)
  • Table 332. Mexico Machine Learning, by Deployment USD Million (2025-2030)
  • Table 333. Machine Learning: by Type(USD/Units)
  • Table 334. Research Programs/Design for This Report
  • Table 335. Key Data Information from Secondary Sources
  • Table 336. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Machine Learning: by Type USD Million (2018-2023)
  • Figure 5. Global Machine Learning: by Components USD Million (2018-2023)
  • Figure 6. Global Machine Learning: by Organization Size USD Million (2018-2023)
  • Figure 7. Global Machine Learning: by Industry Vertical USD Million (2018-2023)
  • Figure 8. Global Machine Learning: by Deployment USD Million (2018-2023)
  • Figure 9. South America Machine Learning Share (%), by Country
  • Figure 10. Asia Pacific Machine Learning Share (%), by Country
  • Figure 11. Europe Machine Learning Share (%), by Country
  • Figure 12. MEA Machine Learning Share (%), by Country
  • Figure 13. North America Machine Learning Share (%), by Country
  • Figure 14. Global Machine Learning: by Type USD/Units (2018-2023)
  • Figure 15. Global Machine Learning share by Players 2023 (%)
  • Figure 16. Global Machine Learning share by Players (Top 3) 2023(%)
  • Figure 17. Global Machine Learning share by Players (Top 5) 2023(%)
  • Figure 18. BCG Matrix for key Companies
  • Figure 19. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. Microsoft Corporation (United States) Revenue: by Geography 2023
  • Figure 21. Sap SE (Germany) Revenue, Net Income and Gross profit
  • Figure 22. Sap SE (Germany) Revenue: by Geography 2023
  • Figure 23. SAS Institute Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 24. SAS Institute Inc. (United States) Revenue: by Geography 2023
  • Figure 25. Amazon Web Services, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Amazon Web Services, Inc. (United States) Revenue: by Geography 2023
  • Figure 27. Bigml, Inc. (Spain) Revenue, Net Income and Gross profit
  • Figure 28. Bigml, Inc. (Spain) Revenue: by Geography 2023
  • Figure 29. Google Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 30. Google Inc. (United States) Revenue: by Geography 2023
  • Figure 31. Fair Isaac Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 32. Fair Isaac Corporation (United States) Revenue: by Geography 2023
  • Figure 33. Baidu, Inc. (China) Revenue, Net Income and Gross profit
  • Figure 34. Baidu, Inc. (China) Revenue: by Geography 2023
  • Figure 35. Hewlett Packard Enterprise Development (United States) Revenue, Net Income and Gross profit
  • Figure 36. Hewlett Packard Enterprise Development (United States) Revenue: by Geography 2023
  • Figure 37. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 38. Intel Corporation (United States) Revenue: by Geography 2023
  • Figure 39. H2O.Ai, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 40. H2O.Ai, Inc. (United States) Revenue: by Geography 2023
  • Figure 41. Global Machine Learning: by Type USD Million (2025-2030)
  • Figure 42. Global Machine Learning: by Components USD Million (2025-2030)
  • Figure 43. Global Machine Learning: by Organization Size USD Million (2025-2030)
  • Figure 44. Global Machine Learning: by Industry Vertical USD Million (2025-2030)
  • Figure 45. Global Machine Learning: by Deployment USD Million (2025-2030)
  • Figure 46. South America Machine Learning Share (%), by Country
  • Figure 47. Asia Pacific Machine Learning Share (%), by Country
  • Figure 48. Europe Machine Learning Share (%), by Country
  • Figure 49. MEA Machine Learning Share (%), by Country
  • Figure 50. North America Machine Learning Share (%), by Country
  • Figure 51. Global Machine Learning: by Type USD/Units (2025-2030)
List of companies from research coverage that are profiled in the study
  • Microsoft Corporation (United States)
  • Sap SE (Germany)
  • SAS Institute Inc. (United States)
  • Amazon Web Services, Inc. (United States)
  • Bigml, Inc. (Spain)
  • Google Inc. (United States)
  • Fair Isaac Corporation (United States)
  • Baidu, Inc. (China)
  • Hewlett Packard Enterprise Development (United States)
  • Intel Corporation (United States)
  • H2O.Ai, Inc. (United States)
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Jul 2024 207 Pages 92 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Historical year: 2018-2023; Base year: 2023; Forecast period: 2024 to 2030
Companies that are profiled in Global Machine Learning Market are Microsoft Corporation (United States), Sap SE (Germany), SAS Institute Inc. (United States), Amazon Web Services, Inc. (United States), Bigml, Inc. (Spain), Google Inc. (United States), Fair Isaac Corporation (United States), Baidu, Inc. (China), Hewlett Packard Enterprise Development (United States), Intel Corporation (United States) and H2O.Ai, Inc. (United States) etc.
AMA Research predicts that United States Players will contribute to the maximum growth of Global Machine Learning market throughout the forecasted period.

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