Global Machine Learning research

Machine Learning Comprehensive Study by Type (Cloud, On-Premises), Application (SMEs, Large Enterprises), Components (Hardware, Software, Services), Industry Vertical (BFSI, Healthcare and Life Sciences, Retail, Telecommunication, Government, Defense, Others), Service Type (Professional Services, Managed Services) Players and Region - Global Market Outlook to 2027

Machine Learning Market by XX Submarkets | Forecast Years 2022-2027  

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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, Growth of the Professional Services Segment Is Mainly Governed By the Complexity of Operations and Rapidly Emerging and Highly Active SMEs.

AttributesDetails
Study Period2017-2027
Base Year2021
Forecast Period2022-2027
Historical Period2017-2021
UnitValue (USD Million)
Key Companies in StudyMicrosoft 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)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Globally, a noticeable market trend is evident Growing Adoption of Hardware Optimized For Machine Learning . 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.

Market 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
  • Rapidly Emerging and Highly Active SMEs

Market 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
  • Increased Collaboration, Monitoring Document Version Control, And Data Loss Prevention

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
Challenges
Lack of Adequately Skilled Workforce

AMA Research follow 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 mostly 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 showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include 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, Analyst at AMA organize and took survey 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, the survey 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 value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Cloud
  • On-Premises
By Application
  • SMEs
  • Large Enterprises
By Components
  • Hardware
  • Software
  • Services

By Industry Vertical
  • BFSI
  • Healthcare and Life Sciences
  • Retail
  • Telecommunication
  • Government
  • Defense
  • Others

By Service Type
  • Professional Services
  • Managed Services

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, Application, Components, Industry Vertical, Service Type and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Machine Learning (Value)
      • 5.2.1. Global Machine Learning by: Type (Value)
        • 5.2.1.1. Cloud
        • 5.2.1.2. On-Premises
      • 5.2.2. Global Machine Learning by: Application (Value)
        • 5.2.2.1. SMEs
        • 5.2.2.2. Large Enterprises
      • 5.2.3. Global Machine Learning by: Components (Value)
        • 5.2.3.1. Hardware
        • 5.2.3.2. Software
        • 5.2.3.3. Services
      • 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
        • 5.2.4.4. Telecommunication
        • 5.2.4.5. Government
        • 5.2.4.6. Defense
        • 5.2.4.7. Others
      • 5.2.5. Global Machine Learning by: Service Type (Value)
        • 5.2.5.1. Professional Services
        • 5.2.5.2. Managed Services
      • 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 (2021)
    • 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, Application, Components, Industry Vertical, Service Type and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Machine Learning (Value)
      • 7.2.1. Global Machine Learning by: Type (Value)
        • 7.2.1.1. Cloud
        • 7.2.1.2. On-Premises
      • 7.2.2. Global Machine Learning by: Application (Value)
        • 7.2.2.1. SMEs
        • 7.2.2.2. Large Enterprises
      • 7.2.3. Global Machine Learning by: Components (Value)
        • 7.2.3.1. Hardware
        • 7.2.3.2. Software
        • 7.2.3.3. Services
      • 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
        • 7.2.4.4. Telecommunication
        • 7.2.4.5. Government
        • 7.2.4.6. Defense
        • 7.2.4.7. Others
      • 7.2.5. Global Machine Learning by: Service Type (Value)
        • 7.2.5.1. Professional Services
        • 7.2.5.2. Managed Services
      • 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 Cloud , by Region USD Million (2016-2021)
  • Table 3. Machine Learning On-Premises , by Region USD Million (2016-2021)
  • Table 4. Machine Learning: by Application(USD Million)
  • Table 5. Machine Learning SMEs , by Region USD Million (2016-2021)
  • Table 6. Machine Learning Large Enterprises , by Region USD Million (2016-2021)
  • Table 7. Machine Learning: by Components(USD Million)
  • Table 8. Machine Learning Hardware , by Region USD Million (2016-2021)
  • Table 9. Machine Learning Software , by Region USD Million (2016-2021)
  • Table 10. Machine Learning Services , by Region USD Million (2016-2021)
  • Table 11. Machine Learning: by Industry Vertical(USD Million)
  • Table 12. Machine Learning BFSI , by Region USD Million (2016-2021)
  • Table 13. Machine Learning Healthcare and Life Sciences , by Region USD Million (2016-2021)
  • Table 14. Machine Learning Retail , by Region USD Million (2016-2021)
  • Table 15. Machine Learning Telecommunication , by Region USD Million (2016-2021)
  • Table 16. Machine Learning Government , by Region USD Million (2016-2021)
  • Table 17. Machine Learning Defense , by Region USD Million (2016-2021)
  • Table 18. Machine Learning Others , by Region USD Million (2016-2021)
  • Table 19. Machine Learning: by Service Type(USD Million)
  • Table 20. Machine Learning Professional Services , by Region USD Million (2016-2021)
  • Table 21. Machine Learning Managed Services , by Region USD Million (2016-2021)
  • Table 22. South America Machine Learning, by Country USD Million (2016-2021)
  • Table 23. South America Machine Learning, by Type USD Million (2016-2021)
  • Table 24. South America Machine Learning, by Application USD Million (2016-2021)
  • Table 25. South America Machine Learning, by Components USD Million (2016-2021)
  • Table 26. South America Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 27. South America Machine Learning, by Service Type USD Million (2016-2021)
  • Table 28. Brazil Machine Learning, by Type USD Million (2016-2021)
  • Table 29. Brazil Machine Learning, by Application USD Million (2016-2021)
  • Table 30. Brazil Machine Learning, by Components USD Million (2016-2021)
  • Table 31. Brazil Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 32. Brazil Machine Learning, by Service Type USD Million (2016-2021)
  • Table 33. Argentina Machine Learning, by Type USD Million (2016-2021)
  • Table 34. Argentina Machine Learning, by Application USD Million (2016-2021)
  • Table 35. Argentina Machine Learning, by Components USD Million (2016-2021)
  • Table 36. Argentina Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 37. Argentina Machine Learning, by Service Type USD Million (2016-2021)
  • Table 38. Rest of South America Machine Learning, by Type USD Million (2016-2021)
  • Table 39. Rest of South America Machine Learning, by Application USD Million (2016-2021)
  • Table 40. Rest of South America Machine Learning, by Components USD Million (2016-2021)
  • Table 41. Rest of South America Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 42. Rest of South America Machine Learning, by Service Type USD Million (2016-2021)
  • Table 43. Asia Pacific Machine Learning, by Country USD Million (2016-2021)
  • Table 44. Asia Pacific Machine Learning, by Type USD Million (2016-2021)
  • Table 45. Asia Pacific Machine Learning, by Application USD Million (2016-2021)
  • Table 46. Asia Pacific Machine Learning, by Components USD Million (2016-2021)
  • Table 47. Asia Pacific Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 48. Asia Pacific Machine Learning, by Service Type USD Million (2016-2021)
  • Table 49. China Machine Learning, by Type USD Million (2016-2021)
  • Table 50. China Machine Learning, by Application USD Million (2016-2021)
  • Table 51. China Machine Learning, by Components USD Million (2016-2021)
  • Table 52. China Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 53. China Machine Learning, by Service Type USD Million (2016-2021)
  • Table 54. Japan Machine Learning, by Type USD Million (2016-2021)
  • Table 55. Japan Machine Learning, by Application USD Million (2016-2021)
  • Table 56. Japan Machine Learning, by Components USD Million (2016-2021)
  • Table 57. Japan Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 58. Japan Machine Learning, by Service Type USD Million (2016-2021)
  • Table 59. India Machine Learning, by Type USD Million (2016-2021)
  • Table 60. India Machine Learning, by Application USD Million (2016-2021)
  • Table 61. India Machine Learning, by Components USD Million (2016-2021)
  • Table 62. India Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 63. India Machine Learning, by Service Type USD Million (2016-2021)
  • Table 64. South Korea Machine Learning, by Type USD Million (2016-2021)
  • Table 65. South Korea Machine Learning, by Application USD Million (2016-2021)
  • Table 66. South Korea Machine Learning, by Components USD Million (2016-2021)
  • Table 67. South Korea Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 68. South Korea Machine Learning, by Service Type USD Million (2016-2021)
  • Table 69. Taiwan Machine Learning, by Type USD Million (2016-2021)
  • Table 70. Taiwan Machine Learning, by Application USD Million (2016-2021)
  • Table 71. Taiwan Machine Learning, by Components USD Million (2016-2021)
  • Table 72. Taiwan Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 73. Taiwan Machine Learning, by Service Type USD Million (2016-2021)
  • Table 74. Australia Machine Learning, by Type USD Million (2016-2021)
  • Table 75. Australia Machine Learning, by Application USD Million (2016-2021)
  • Table 76. Australia Machine Learning, by Components USD Million (2016-2021)
  • Table 77. Australia Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 78. Australia Machine Learning, by Service Type USD Million (2016-2021)
  • Table 79. Rest of Asia-Pacific Machine Learning, by Type USD Million (2016-2021)
  • Table 80. Rest of Asia-Pacific Machine Learning, by Application USD Million (2016-2021)
  • Table 81. Rest of Asia-Pacific Machine Learning, by Components USD Million (2016-2021)
  • Table 82. Rest of Asia-Pacific Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 83. Rest of Asia-Pacific Machine Learning, by Service Type USD Million (2016-2021)
  • Table 84. Europe Machine Learning, by Country USD Million (2016-2021)
  • Table 85. Europe Machine Learning, by Type USD Million (2016-2021)
  • Table 86. Europe Machine Learning, by Application USD Million (2016-2021)
  • Table 87. Europe Machine Learning, by Components USD Million (2016-2021)
  • Table 88. Europe Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 89. Europe Machine Learning, by Service Type USD Million (2016-2021)
  • Table 90. Germany Machine Learning, by Type USD Million (2016-2021)
  • Table 91. Germany Machine Learning, by Application USD Million (2016-2021)
  • Table 92. Germany Machine Learning, by Components USD Million (2016-2021)
  • Table 93. Germany Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 94. Germany Machine Learning, by Service Type USD Million (2016-2021)
  • Table 95. France Machine Learning, by Type USD Million (2016-2021)
  • Table 96. France Machine Learning, by Application USD Million (2016-2021)
  • Table 97. France Machine Learning, by Components USD Million (2016-2021)
  • Table 98. France Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 99. France Machine Learning, by Service Type USD Million (2016-2021)
  • Table 100. Italy Machine Learning, by Type USD Million (2016-2021)
  • Table 101. Italy Machine Learning, by Application USD Million (2016-2021)
  • Table 102. Italy Machine Learning, by Components USD Million (2016-2021)
  • Table 103. Italy Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 104. Italy Machine Learning, by Service Type USD Million (2016-2021)
  • Table 105. United Kingdom Machine Learning, by Type USD Million (2016-2021)
  • Table 106. United Kingdom Machine Learning, by Application USD Million (2016-2021)
  • Table 107. United Kingdom Machine Learning, by Components USD Million (2016-2021)
  • Table 108. United Kingdom Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 109. United Kingdom Machine Learning, by Service Type USD Million (2016-2021)
  • Table 110. Netherlands Machine Learning, by Type USD Million (2016-2021)
  • Table 111. Netherlands Machine Learning, by Application USD Million (2016-2021)
  • Table 112. Netherlands Machine Learning, by Components USD Million (2016-2021)
  • Table 113. Netherlands Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 114. Netherlands Machine Learning, by Service Type USD Million (2016-2021)
  • Table 115. Rest of Europe Machine Learning, by Type USD Million (2016-2021)
  • Table 116. Rest of Europe Machine Learning, by Application USD Million (2016-2021)
  • Table 117. Rest of Europe Machine Learning, by Components USD Million (2016-2021)
  • Table 118. Rest of Europe Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 119. Rest of Europe Machine Learning, by Service Type USD Million (2016-2021)
  • Table 120. MEA Machine Learning, by Country USD Million (2016-2021)
  • Table 121. MEA Machine Learning, by Type USD Million (2016-2021)
  • Table 122. MEA Machine Learning, by Application USD Million (2016-2021)
  • Table 123. MEA Machine Learning, by Components USD Million (2016-2021)
  • Table 124. MEA Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 125. MEA Machine Learning, by Service Type USD Million (2016-2021)
  • Table 126. Middle East Machine Learning, by Type USD Million (2016-2021)
  • Table 127. Middle East Machine Learning, by Application USD Million (2016-2021)
  • Table 128. Middle East Machine Learning, by Components USD Million (2016-2021)
  • Table 129. Middle East Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 130. Middle East Machine Learning, by Service Type USD Million (2016-2021)
  • Table 131. Africa Machine Learning, by Type USD Million (2016-2021)
  • Table 132. Africa Machine Learning, by Application USD Million (2016-2021)
  • Table 133. Africa Machine Learning, by Components USD Million (2016-2021)
  • Table 134. Africa Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 135. Africa Machine Learning, by Service Type USD Million (2016-2021)
  • Table 136. North America Machine Learning, by Country USD Million (2016-2021)
  • Table 137. North America Machine Learning, by Type USD Million (2016-2021)
  • Table 138. North America Machine Learning, by Application USD Million (2016-2021)
  • Table 139. North America Machine Learning, by Components USD Million (2016-2021)
  • Table 140. North America Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 141. North America Machine Learning, by Service Type USD Million (2016-2021)
  • Table 142. United States Machine Learning, by Type USD Million (2016-2021)
  • Table 143. United States Machine Learning, by Application USD Million (2016-2021)
  • Table 144. United States Machine Learning, by Components USD Million (2016-2021)
  • Table 145. United States Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 146. United States Machine Learning, by Service Type USD Million (2016-2021)
  • Table 147. Canada Machine Learning, by Type USD Million (2016-2021)
  • Table 148. Canada Machine Learning, by Application USD Million (2016-2021)
  • Table 149. Canada Machine Learning, by Components USD Million (2016-2021)
  • Table 150. Canada Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 151. Canada Machine Learning, by Service Type USD Million (2016-2021)
  • Table 152. Mexico Machine Learning, by Type USD Million (2016-2021)
  • Table 153. Mexico Machine Learning, by Application USD Million (2016-2021)
  • Table 154. Mexico Machine Learning, by Components USD Million (2016-2021)
  • Table 155. Mexico Machine Learning, by Industry Vertical USD Million (2016-2021)
  • Table 156. Mexico Machine Learning, by Service Type USD Million (2016-2021)
  • Table 157. Machine Learning: by Type(USD/Units)
  • Table 158. Company Basic Information, Sales Area and Its Competitors
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • 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. Machine Learning: by Type(USD Million)
  • Table 170. Machine Learning Cloud , by Region USD Million (2022-2027)
  • Table 171. Machine Learning On-Premises , by Region USD Million (2022-2027)
  • Table 172. Machine Learning: by Application(USD Million)
  • Table 173. Machine Learning SMEs , by Region USD Million (2022-2027)
  • Table 174. Machine Learning Large Enterprises , by Region USD Million (2022-2027)
  • Table 175. Machine Learning: by Components(USD Million)
  • Table 176. Machine Learning Hardware , by Region USD Million (2022-2027)
  • Table 177. Machine Learning Software , by Region USD Million (2022-2027)
  • Table 178. Machine Learning Services , by Region USD Million (2022-2027)
  • Table 179. Machine Learning: by Industry Vertical(USD Million)
  • Table 180. Machine Learning BFSI , by Region USD Million (2022-2027)
  • Table 181. Machine Learning Healthcare and Life Sciences , by Region USD Million (2022-2027)
  • Table 182. Machine Learning Retail , by Region USD Million (2022-2027)
  • Table 183. Machine Learning Telecommunication , by Region USD Million (2022-2027)
  • Table 184. Machine Learning Government , by Region USD Million (2022-2027)
  • Table 185. Machine Learning Defense , by Region USD Million (2022-2027)
  • Table 186. Machine Learning Others , by Region USD Million (2022-2027)
  • Table 187. Machine Learning: by Service Type(USD Million)
  • Table 188. Machine Learning Professional Services , by Region USD Million (2022-2027)
  • Table 189. Machine Learning Managed Services , by Region USD Million (2022-2027)
  • Table 190. South America Machine Learning, by Country USD Million (2022-2027)
  • Table 191. South America Machine Learning, by Type USD Million (2022-2027)
  • Table 192. South America Machine Learning, by Application USD Million (2022-2027)
  • Table 193. South America Machine Learning, by Components USD Million (2022-2027)
  • Table 194. South America Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 195. South America Machine Learning, by Service Type USD Million (2022-2027)
  • Table 196. Brazil Machine Learning, by Type USD Million (2022-2027)
  • Table 197. Brazil Machine Learning, by Application USD Million (2022-2027)
  • Table 198. Brazil Machine Learning, by Components USD Million (2022-2027)
  • Table 199. Brazil Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 200. Brazil Machine Learning, by Service Type USD Million (2022-2027)
  • Table 201. Argentina Machine Learning, by Type USD Million (2022-2027)
  • Table 202. Argentina Machine Learning, by Application USD Million (2022-2027)
  • Table 203. Argentina Machine Learning, by Components USD Million (2022-2027)
  • Table 204. Argentina Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 205. Argentina Machine Learning, by Service Type USD Million (2022-2027)
  • Table 206. Rest of South America Machine Learning, by Type USD Million (2022-2027)
  • Table 207. Rest of South America Machine Learning, by Application USD Million (2022-2027)
  • Table 208. Rest of South America Machine Learning, by Components USD Million (2022-2027)
  • Table 209. Rest of South America Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 210. Rest of South America Machine Learning, by Service Type USD Million (2022-2027)
  • Table 211. Asia Pacific Machine Learning, by Country USD Million (2022-2027)
  • Table 212. Asia Pacific Machine Learning, by Type USD Million (2022-2027)
  • Table 213. Asia Pacific Machine Learning, by Application USD Million (2022-2027)
  • Table 214. Asia Pacific Machine Learning, by Components USD Million (2022-2027)
  • Table 215. Asia Pacific Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 216. Asia Pacific Machine Learning, by Service Type USD Million (2022-2027)
  • Table 217. China Machine Learning, by Type USD Million (2022-2027)
  • Table 218. China Machine Learning, by Application USD Million (2022-2027)
  • Table 219. China Machine Learning, by Components USD Million (2022-2027)
  • Table 220. China Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 221. China Machine Learning, by Service Type USD Million (2022-2027)
  • Table 222. Japan Machine Learning, by Type USD Million (2022-2027)
  • Table 223. Japan Machine Learning, by Application USD Million (2022-2027)
  • Table 224. Japan Machine Learning, by Components USD Million (2022-2027)
  • Table 225. Japan Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 226. Japan Machine Learning, by Service Type USD Million (2022-2027)
  • Table 227. India Machine Learning, by Type USD Million (2022-2027)
  • Table 228. India Machine Learning, by Application USD Million (2022-2027)
  • Table 229. India Machine Learning, by Components USD Million (2022-2027)
  • Table 230. India Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 231. India Machine Learning, by Service Type USD Million (2022-2027)
  • Table 232. South Korea Machine Learning, by Type USD Million (2022-2027)
  • Table 233. South Korea Machine Learning, by Application USD Million (2022-2027)
  • Table 234. South Korea Machine Learning, by Components USD Million (2022-2027)
  • Table 235. South Korea Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 236. South Korea Machine Learning, by Service Type USD Million (2022-2027)
  • Table 237. Taiwan Machine Learning, by Type USD Million (2022-2027)
  • Table 238. Taiwan Machine Learning, by Application USD Million (2022-2027)
  • Table 239. Taiwan Machine Learning, by Components USD Million (2022-2027)
  • Table 240. Taiwan Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 241. Taiwan Machine Learning, by Service Type USD Million (2022-2027)
  • Table 242. Australia Machine Learning, by Type USD Million (2022-2027)
  • Table 243. Australia Machine Learning, by Application USD Million (2022-2027)
  • Table 244. Australia Machine Learning, by Components USD Million (2022-2027)
  • Table 245. Australia Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 246. Australia Machine Learning, by Service Type USD Million (2022-2027)
  • Table 247. Rest of Asia-Pacific Machine Learning, by Type USD Million (2022-2027)
  • Table 248. Rest of Asia-Pacific Machine Learning, by Application USD Million (2022-2027)
  • Table 249. Rest of Asia-Pacific Machine Learning, by Components USD Million (2022-2027)
  • Table 250. Rest of Asia-Pacific Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 251. Rest of Asia-Pacific Machine Learning, by Service Type USD Million (2022-2027)
  • Table 252. Europe Machine Learning, by Country USD Million (2022-2027)
  • Table 253. Europe Machine Learning, by Type USD Million (2022-2027)
  • Table 254. Europe Machine Learning, by Application USD Million (2022-2027)
  • Table 255. Europe Machine Learning, by Components USD Million (2022-2027)
  • Table 256. Europe Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 257. Europe Machine Learning, by Service Type USD Million (2022-2027)
  • Table 258. Germany Machine Learning, by Type USD Million (2022-2027)
  • Table 259. Germany Machine Learning, by Application USD Million (2022-2027)
  • Table 260. Germany Machine Learning, by Components USD Million (2022-2027)
  • Table 261. Germany Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 262. Germany Machine Learning, by Service Type USD Million (2022-2027)
  • Table 263. France Machine Learning, by Type USD Million (2022-2027)
  • Table 264. France Machine Learning, by Application USD Million (2022-2027)
  • Table 265. France Machine Learning, by Components USD Million (2022-2027)
  • Table 266. France Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 267. France Machine Learning, by Service Type USD Million (2022-2027)
  • Table 268. Italy Machine Learning, by Type USD Million (2022-2027)
  • Table 269. Italy Machine Learning, by Application USD Million (2022-2027)
  • Table 270. Italy Machine Learning, by Components USD Million (2022-2027)
  • Table 271. Italy Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 272. Italy Machine Learning, by Service Type USD Million (2022-2027)
  • Table 273. United Kingdom Machine Learning, by Type USD Million (2022-2027)
  • Table 274. United Kingdom Machine Learning, by Application USD Million (2022-2027)
  • Table 275. United Kingdom Machine Learning, by Components USD Million (2022-2027)
  • Table 276. United Kingdom Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 277. United Kingdom Machine Learning, by Service Type USD Million (2022-2027)
  • Table 278. Netherlands Machine Learning, by Type USD Million (2022-2027)
  • Table 279. Netherlands Machine Learning, by Application USD Million (2022-2027)
  • Table 280. Netherlands Machine Learning, by Components USD Million (2022-2027)
  • Table 281. Netherlands Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 282. Netherlands Machine Learning, by Service Type USD Million (2022-2027)
  • Table 283. Rest of Europe Machine Learning, by Type USD Million (2022-2027)
  • Table 284. Rest of Europe Machine Learning, by Application USD Million (2022-2027)
  • Table 285. Rest of Europe Machine Learning, by Components USD Million (2022-2027)
  • Table 286. Rest of Europe Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 287. Rest of Europe Machine Learning, by Service Type USD Million (2022-2027)
  • Table 288. MEA Machine Learning, by Country USD Million (2022-2027)
  • Table 289. MEA Machine Learning, by Type USD Million (2022-2027)
  • Table 290. MEA Machine Learning, by Application USD Million (2022-2027)
  • Table 291. MEA Machine Learning, by Components USD Million (2022-2027)
  • Table 292. MEA Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 293. MEA Machine Learning, by Service Type USD Million (2022-2027)
  • Table 294. Middle East Machine Learning, by Type USD Million (2022-2027)
  • Table 295. Middle East Machine Learning, by Application USD Million (2022-2027)
  • Table 296. Middle East Machine Learning, by Components USD Million (2022-2027)
  • Table 297. Middle East Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 298. Middle East Machine Learning, by Service Type USD Million (2022-2027)
  • Table 299. Africa Machine Learning, by Type USD Million (2022-2027)
  • Table 300. Africa Machine Learning, by Application USD Million (2022-2027)
  • Table 301. Africa Machine Learning, by Components USD Million (2022-2027)
  • Table 302. Africa Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 303. Africa Machine Learning, by Service Type USD Million (2022-2027)
  • Table 304. North America Machine Learning, by Country USD Million (2022-2027)
  • Table 305. North America Machine Learning, by Type USD Million (2022-2027)
  • Table 306. North America Machine Learning, by Application USD Million (2022-2027)
  • Table 307. North America Machine Learning, by Components USD Million (2022-2027)
  • Table 308. North America Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 309. North America Machine Learning, by Service Type USD Million (2022-2027)
  • Table 310. United States Machine Learning, by Type USD Million (2022-2027)
  • Table 311. United States Machine Learning, by Application USD Million (2022-2027)
  • Table 312. United States Machine Learning, by Components USD Million (2022-2027)
  • Table 313. United States Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 314. United States Machine Learning, by Service Type USD Million (2022-2027)
  • Table 315. Canada Machine Learning, by Type USD Million (2022-2027)
  • Table 316. Canada Machine Learning, by Application USD Million (2022-2027)
  • Table 317. Canada Machine Learning, by Components USD Million (2022-2027)
  • Table 318. Canada Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 319. Canada Machine Learning, by Service Type USD Million (2022-2027)
  • Table 320. Mexico Machine Learning, by Type USD Million (2022-2027)
  • Table 321. Mexico Machine Learning, by Application USD Million (2022-2027)
  • Table 322. Mexico Machine Learning, by Components USD Million (2022-2027)
  • Table 323. Mexico Machine Learning, by Industry Vertical USD Million (2022-2027)
  • Table 324. Mexico Machine Learning, by Service Type USD Million (2022-2027)
  • Table 325. Machine Learning: by Type(USD/Units)
  • Table 326. Research Programs/Design for This Report
  • Table 327. Key Data Information from Secondary Sources
  • Table 328. 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 (2016-2021)
  • Figure 5. Global Machine Learning: by Application USD Million (2016-2021)
  • Figure 6. Global Machine Learning: by Components USD Million (2016-2021)
  • Figure 7. Global Machine Learning: by Industry Vertical USD Million (2016-2021)
  • Figure 8. Global Machine Learning: by Service Type USD Million (2016-2021)
  • 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 (2016-2021)
  • Figure 15. Global Machine Learning share by Players 2021 (%)
  • Figure 16. Global Machine Learning share by Players (Top 3) 2021(%)
  • Figure 17. Global Machine Learning share by Players (Top 5) 2021(%)
  • 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 2021
  • Figure 21. Sap SE (Germany) Revenue, Net Income and Gross profit
  • Figure 22. Sap SE (Germany) Revenue: by Geography 2021
  • Figure 23. SAS Institute Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 24. SAS Institute Inc. (United States) Revenue: by Geography 2021
  • 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 2021
  • Figure 27. Bigml, Inc. (Spain) Revenue, Net Income and Gross profit
  • Figure 28. Bigml, Inc. (Spain) Revenue: by Geography 2021
  • Figure 29. Google Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 30. Google Inc. (United States) Revenue: by Geography 2021
  • Figure 31. Fair Isaac Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 32. Fair Isaac Corporation (United States) Revenue: by Geography 2021
  • Figure 33. Baidu, Inc. (China) Revenue, Net Income and Gross profit
  • Figure 34. Baidu, Inc. (China) Revenue: by Geography 2021
  • 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 2021
  • Figure 37. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 38. Intel Corporation (United States) Revenue: by Geography 2021
  • Figure 39. H2O.Ai, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 40. H2O.Ai, Inc. (United States) Revenue: by Geography 2021
  • Figure 41. Global Machine Learning: by Type USD Million (2022-2027)
  • Figure 42. Global Machine Learning: by Application USD Million (2022-2027)
  • Figure 43. Global Machine Learning: by Components USD Million (2022-2027)
  • Figure 44. Global Machine Learning: by Industry Vertical USD Million (2022-2027)
  • Figure 45. Global Machine Learning: by Service Type USD Million (2022-2027)
  • 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 (2022-2027)
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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May 2022 207 Pages 92 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Historical year: 2017-2021; Base year: 2021; Forecast period: 2022 to 2027
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 predicts that United States Players will contribute to the maximum growth of Global Machine Learning market throughout the forecasted period.

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