Global Machine Learning as a Service Market

Machine Learning as a Service Comprehensive Study by Application (Network Analytics and Automated Traffic Management, Augmented Reality, Predictive Maintenance, Fraud Detection and Risk Analytics, Marketing and Advertising, Others), End Users (Education, Automotive and Transportation, Telecom, Banking and Financial Services, Retail and E-Commerce, Media and Entertainment, Insurance, Healthcare, Defense, Others), Organization Sizes (Small and Medium Enterprises, Large Enterprises) Players and Region - Global Market Outlook to 2026

Machine Learning as a Service Market by XX Submarkets | Forecast Years 2022-2027 | CAGR: 42%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
According to AMA, the Machine Learning as a Service market will register a CAGR of above 42.0% by 2026. The study covers a detailed analysis segmented by key business segments i.e. , by application (Network Analytics and Automated Traffic Management, Augmented Reality, Predictive Maintenance, Fraud Detection and Risk Analytics, Marketing and Advertising and Others) and major geographies. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Machine Learning as a Service market throughout the predicted period.

What is Machine Learning as a Service?
Machine learning as a service performs statistical analysis of data to understand its current and future relationship in order to better decision making. It makes use of huge amount of data to deliver improved analytical output. The main purpose of these services is to let customer start machine learning without need of installing software.

The competition is expected to become even more intense in the years to come due to entry of several new players in the market. To help clients improve their revenue shares in the market, this research study provides an in-depth analysis of the market’s competitive landscape and offers information on the products offered by various leading companies. Additionally, this Machine Learning as a Service market analysis report suggests strategies Players can follow and recommends key areas they should focus on, in order to take maximum benefits of growth opportunities.

The report offers several leading Players, including:
  • Google [United States]
  • IBM Corporation [United States]
  • Microsoft Corporation [United States]
  • Amazon Web Services [United States]
  • BigML [United States]
  • FICO [United States]
  • Yottamine Analytics [United States]
  • Ersatz Labs [United States]
  • Predictron Labs [United Kingdom]
  • H2O.ai [United States]
  • AT&T [United States]
  • Sift Science [United States]


Market Overview:


Market Trend
Growing Adoption of Machine Learning Services in Healthcare and Research Oriented Marketing Campaigns and Customer-centric Communication
Restraints
  • Lack of Technical Expertise to Deploy Machine Learning Services
  • Stringent Regulation and Compliance Issues

Opportunities
Increasing Data Volume and Growing IoT Application and Consistent Retraining of Algorithms

Key highlights of the Global Machine Learning as a Service market Study:
• CAGR of the market during the forecast period 2020-2026
• In-depth information on growth factors that will accelerate the Machine Learning as a Service market in next few years.
• Detailed Insights on futuristic trends and changing consumer behaviour
• Forecast of the Global Machine Learning as a Service market size and its contribution to the parent market by type, application and by country.
• A broad view of customer demand
• Uncover market’s competitive landscape and in-depth information on various Players
• Comprehensive information about factors that will challenge the growth of Machine Learning as a Service Players

Transformation and Important Trigegrs:
Business transformation has taken hold across the broad corporate landscape due to the confluence of several important triggers, including:
• A tipping point in globalization
• A major slowdown in Western economies
• Significant shifts in technology and cost structure
• The challenges of regulatory compliance
• New forms of competition developing

Research Methodology:

The top-down and bottom-up approaches are used to estimate and validate the size of the Global Machine Learning as a Service market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Machine Learning as a Service market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment> by targeting key target audience that includes Machine Learning Service Providers, Potential Technology Investors, Government Agencies and Research Institute.
This helps us to gather the data for the players’ revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Application
  • Network Analytics and Automated Traffic Management
  • Augmented Reality
  • Predictive Maintenance
  • Fraud Detection and Risk Analytics
  • Marketing and Advertising
  • Others
By End Users
  • Education
  • Automotive and Transportation
  • Telecom
  • Banking and Financial Services
  • Retail and E-Commerce
  • Media and Entertainment
  • Insurance
  • Healthcare
  • Defense
  • Others

By Organization Sizes
  • Small and Medium Enterprises
  • Large Enterprises

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. Growing Adoption of Cloud Computing Technology
      • 3.2.2. Need to Study Growing Value of Data Effectively
    • 3.3. Market Challenges
      • 3.3.1. Integration of Services into the Enterprises
      • 3.3.2. Security and Privacy Concern
    • 3.4. Market Trends
      • 3.4.1. Growing Adoption of Machine Learning Services in Healthcare
      • 3.4.2. Research Oriented Marketing Campaigns and Customer-centric Communication
  • 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 as a Service, by Application, End Users, Organization Sizes and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Machine Learning as a Service (Value)
      • 5.2.1. Global Machine Learning as a Service by: Application (Value)
        • 5.2.1.1. Network Analytics and Automated Traffic Management
        • 5.2.1.2. Augmented Reality
        • 5.2.1.3. Predictive Maintenance
        • 5.2.1.4. Fraud Detection and Risk Analytics
        • 5.2.1.5. Marketing and Advertising
        • 5.2.1.6. Others
      • 5.2.2. Global Machine Learning as a Service by: End Users (Value)
        • 5.2.2.1. Education
        • 5.2.2.2. Automotive and Transportation
        • 5.2.2.3. Telecom
        • 5.2.2.4. Banking and Financial Services
        • 5.2.2.5. Retail and E-Commerce
        • 5.2.2.6. Media and Entertainment
        • 5.2.2.7. Insurance
        • 5.2.2.8. Healthcare
        • 5.2.2.9. Defense
        • 5.2.2.10. Others
      • 5.2.3. Global Machine Learning as a Service by: Organization Sizes (Value)
        • 5.2.3.1. Small and Medium Enterprises
        • 5.2.3.2. Large Enterprises
      • 5.2.4. Global Machine Learning as a Service Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Machine Learning as a Service: 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Google [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. IBM Corporation [United States]
        • 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. Microsoft Corporation [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 [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 [United States]
        • 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. FICO [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. Yottamine Analytics [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. Ersatz Labs [United States]
        • 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. Predictron Labs [United Kingdom]
        • 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. H2O.ai [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. AT&T [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
      • 6.4.12. Sift Science [United States]
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
  • 7. Global Machine Learning as a Service Sale, by Application, End Users, Organization Sizes and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Machine Learning as a Service (Value)
      • 7.2.1. Global Machine Learning as a Service by: Application (Value)
        • 7.2.1.1. Network Analytics and Automated Traffic Management
        • 7.2.1.2. Augmented Reality
        • 7.2.1.3. Predictive Maintenance
        • 7.2.1.4. Fraud Detection and Risk Analytics
        • 7.2.1.5. Marketing and Advertising
        • 7.2.1.6. Others
      • 7.2.2. Global Machine Learning as a Service by: End Users (Value)
        • 7.2.2.1. Education
        • 7.2.2.2. Automotive and Transportation
        • 7.2.2.3. Telecom
        • 7.2.2.4. Banking and Financial Services
        • 7.2.2.5. Retail and E-Commerce
        • 7.2.2.6. Media and Entertainment
        • 7.2.2.7. Insurance
        • 7.2.2.8. Healthcare
        • 7.2.2.9. Defense
        • 7.2.2.10. Others
      • 7.2.3. Global Machine Learning as a Service by: Organization Sizes (Value)
        • 7.2.3.1. Small and Medium Enterprises
        • 7.2.3.2. Large Enterprises
      • 7.2.4. Global Machine Learning as a Service Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 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 as a Service: by Application(USD Billion)
  • Table 2. Machine Learning as a Service Network Analytics and Automated Traffic Management , by Region USD Billion (2015-2020)
  • Table 3. Machine Learning as a Service Augmented Reality , by Region USD Billion (2015-2020)
  • Table 4. Machine Learning as a Service Predictive Maintenance , by Region USD Billion (2015-2020)
  • Table 5. Machine Learning as a Service Fraud Detection and Risk Analytics , by Region USD Billion (2015-2020)
  • Table 6. Machine Learning as a Service Marketing and Advertising , by Region USD Billion (2015-2020)
  • Table 7. Machine Learning as a Service Others , by Region USD Billion (2015-2020)
  • Table 8. Machine Learning as a Service: by End Users(USD Billion)
  • Table 9. Machine Learning as a Service Education , by Region USD Billion (2015-2020)
  • Table 10. Machine Learning as a Service Automotive and Transportation , by Region USD Billion (2015-2020)
  • Table 11. Machine Learning as a Service Telecom , by Region USD Billion (2015-2020)
  • Table 12. Machine Learning as a Service Banking and Financial Services , by Region USD Billion (2015-2020)
  • Table 13. Machine Learning as a Service Retail and E-Commerce , by Region USD Billion (2015-2020)
  • Table 14. Machine Learning as a Service Media and Entertainment , by Region USD Billion (2015-2020)
  • Table 15. Machine Learning as a Service Insurance , by Region USD Billion (2015-2020)
  • Table 16. Machine Learning as a Service Healthcare , by Region USD Billion (2015-2020)
  • Table 17. Machine Learning as a Service Defense , by Region USD Billion (2015-2020)
  • Table 18. Machine Learning as a Service Others , by Region USD Billion (2015-2020)
  • Table 19. Machine Learning as a Service: by Organization Sizes(USD Billion)
  • Table 20. Machine Learning as a Service Small and Medium Enterprises , by Region USD Billion (2015-2020)
  • Table 21. Machine Learning as a Service Large Enterprises , by Region USD Billion (2015-2020)
  • Table 22. South America Machine Learning as a Service, by Country USD Billion (2015-2020)
  • Table 23. South America Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 24. South America Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 25. South America Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 26. Brazil Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 27. Brazil Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 28. Brazil Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 29. Argentina Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 30. Argentina Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 31. Argentina Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 32. Rest of South America Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 33. Rest of South America Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 34. Rest of South America Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 35. Asia Pacific Machine Learning as a Service, by Country USD Billion (2015-2020)
  • Table 36. Asia Pacific Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 37. Asia Pacific Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 38. Asia Pacific Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 39. China Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 40. China Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 41. China Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 42. Japan Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 43. Japan Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 44. Japan Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 45. India Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 46. India Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 47. India Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 48. South Korea Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 49. South Korea Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 50. South Korea Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 51. Taiwan Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 52. Taiwan Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 53. Taiwan Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 54. Australia Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 55. Australia Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 56. Australia Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 57. Rest of Asia-Pacific Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 58. Rest of Asia-Pacific Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 59. Rest of Asia-Pacific Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 60. Europe Machine Learning as a Service, by Country USD Billion (2015-2020)
  • Table 61. Europe Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 62. Europe Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 63. Europe Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 64. Germany Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 65. Germany Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 66. Germany Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 67. France Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 68. France Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 69. France Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 70. Italy Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 71. Italy Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 72. Italy Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 73. United Kingdom Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 74. United Kingdom Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 75. United Kingdom Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 76. Netherlands Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 77. Netherlands Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 78. Netherlands Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 79. Rest of Europe Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 80. Rest of Europe Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 81. Rest of Europe Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 82. MEA Machine Learning as a Service, by Country USD Billion (2015-2020)
  • Table 83. MEA Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 84. MEA Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 85. MEA Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 86. Middle East Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 87. Middle East Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 88. Middle East Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 89. Africa Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 90. Africa Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 91. Africa Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 92. North America Machine Learning as a Service, by Country USD Billion (2015-2020)
  • Table 93. North America Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 94. North America Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 95. North America Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 96. United States Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 97. United States Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 98. United States Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 99. Canada Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 100. Canada Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 101. Canada Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 102. Mexico Machine Learning as a Service, by Application USD Billion (2015-2020)
  • Table 103. Mexico Machine Learning as a Service, by End Users USD Billion (2015-2020)
  • Table 104. Mexico Machine Learning as a Service, by Organization Sizes USD Billion (2015-2020)
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Company Basic Information, Sales Area and Its Competitors
  • Table 115. Company Basic Information, Sales Area and Its Competitors
  • Table 116. Company Basic Information, Sales Area and Its Competitors
  • Table 117. Machine Learning as a Service: by Application(USD Billion)
  • Table 118. Machine Learning as a Service Network Analytics and Automated Traffic Management , by Region USD Billion (2021-2026)
  • Table 119. Machine Learning as a Service Augmented Reality , by Region USD Billion (2021-2026)
  • Table 120. Machine Learning as a Service Predictive Maintenance , by Region USD Billion (2021-2026)
  • Table 121. Machine Learning as a Service Fraud Detection and Risk Analytics , by Region USD Billion (2021-2026)
  • Table 122. Machine Learning as a Service Marketing and Advertising , by Region USD Billion (2021-2026)
  • Table 123. Machine Learning as a Service Others , by Region USD Billion (2021-2026)
  • Table 124. Machine Learning as a Service: by End Users(USD Billion)
  • Table 125. Machine Learning as a Service Education , by Region USD Billion (2021-2026)
  • Table 126. Machine Learning as a Service Automotive and Transportation , by Region USD Billion (2021-2026)
  • Table 127. Machine Learning as a Service Telecom , by Region USD Billion (2021-2026)
  • Table 128. Machine Learning as a Service Banking and Financial Services , by Region USD Billion (2021-2026)
  • Table 129. Machine Learning as a Service Retail and E-Commerce , by Region USD Billion (2021-2026)
  • Table 130. Machine Learning as a Service Media and Entertainment , by Region USD Billion (2021-2026)
  • Table 131. Machine Learning as a Service Insurance , by Region USD Billion (2021-2026)
  • Table 132. Machine Learning as a Service Healthcare , by Region USD Billion (2021-2026)
  • Table 133. Machine Learning as a Service Defense , by Region USD Billion (2021-2026)
  • Table 134. Machine Learning as a Service Others , by Region USD Billion (2021-2026)
  • Table 135. Machine Learning as a Service: by Organization Sizes(USD Billion)
  • Table 136. Machine Learning as a Service Small and Medium Enterprises , by Region USD Billion (2021-2026)
  • Table 137. Machine Learning as a Service Large Enterprises , by Region USD Billion (2021-2026)
  • Table 138. South America Machine Learning as a Service, by Country USD Billion (2021-2026)
  • Table 139. South America Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 140. South America Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 141. South America Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 142. Brazil Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 143. Brazil Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 144. Brazil Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 145. Argentina Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 146. Argentina Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 147. Argentina Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 148. Rest of South America Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 149. Rest of South America Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 150. Rest of South America Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 151. Asia Pacific Machine Learning as a Service, by Country USD Billion (2021-2026)
  • Table 152. Asia Pacific Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 153. Asia Pacific Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 154. Asia Pacific Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 155. China Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 156. China Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 157. China Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 158. Japan Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 159. Japan Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 160. Japan Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 161. India Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 162. India Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 163. India Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 164. South Korea Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 165. South Korea Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 166. South Korea Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 167. Taiwan Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 168. Taiwan Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 169. Taiwan Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 170. Australia Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 171. Australia Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 172. Australia Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 173. Rest of Asia-Pacific Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 174. Rest of Asia-Pacific Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 175. Rest of Asia-Pacific Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 176. Europe Machine Learning as a Service, by Country USD Billion (2021-2026)
  • Table 177. Europe Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 178. Europe Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 179. Europe Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 180. Germany Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 181. Germany Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 182. Germany Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 183. France Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 184. France Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 185. France Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 186. Italy Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 187. Italy Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 188. Italy Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 189. United Kingdom Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 190. United Kingdom Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 191. United Kingdom Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 192. Netherlands Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 193. Netherlands Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 194. Netherlands Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 195. Rest of Europe Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 196. Rest of Europe Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 197. Rest of Europe Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 198. MEA Machine Learning as a Service, by Country USD Billion (2021-2026)
  • Table 199. MEA Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 200. MEA Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 201. MEA Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 202. Middle East Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 203. Middle East Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 204. Middle East Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 205. Africa Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 206. Africa Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 207. Africa Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 208. North America Machine Learning as a Service, by Country USD Billion (2021-2026)
  • Table 209. North America Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 210. North America Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 211. North America Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 212. United States Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 213. United States Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 214. United States Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 215. Canada Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 216. Canada Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 217. Canada Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 218. Mexico Machine Learning as a Service, by Application USD Billion (2021-2026)
  • Table 219. Mexico Machine Learning as a Service, by End Users USD Billion (2021-2026)
  • Table 220. Mexico Machine Learning as a Service, by Organization Sizes USD Billion (2021-2026)
  • Table 221. Research Programs/Design for This Report
  • Table 222. Key Data Information from Secondary Sources
  • Table 223. 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 as a Service: by Application USD Billion (2015-2020)
  • Figure 5. Global Machine Learning as a Service: by End Users USD Billion (2015-2020)
  • Figure 6. Global Machine Learning as a Service: by Organization Sizes USD Billion (2015-2020)
  • Figure 7. South America Machine Learning as a Service Share (%), by Country
  • Figure 8. Asia Pacific Machine Learning as a Service Share (%), by Country
  • Figure 9. Europe Machine Learning as a Service Share (%), by Country
  • Figure 10. MEA Machine Learning as a Service Share (%), by Country
  • Figure 11. North America Machine Learning as a Service Share (%), by Country
  • Figure 12. Global Machine Learning as a Service share by Players 2020 (%)
  • Figure 13. Global Machine Learning as a Service share by Players (Top 3) 2020(%)
  • Figure 14. Global Machine Learning as a Service share by Players (Top 5) 2020(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Google [United States] Revenue, Net Income and Gross profit
  • Figure 17. Google [United States] Revenue: by Geography 2020
  • Figure 18. IBM Corporation [United States] Revenue, Net Income and Gross profit
  • Figure 19. IBM Corporation [United States] Revenue: by Geography 2020
  • Figure 20. Microsoft Corporation [United States] Revenue, Net Income and Gross profit
  • Figure 21. Microsoft Corporation [United States] Revenue: by Geography 2020
  • Figure 22. Amazon Web Services [United States] Revenue, Net Income and Gross profit
  • Figure 23. Amazon Web Services [United States] Revenue: by Geography 2020
  • Figure 24. BigML [United States] Revenue, Net Income and Gross profit
  • Figure 25. BigML [United States] Revenue: by Geography 2020
  • Figure 26. FICO [United States] Revenue, Net Income and Gross profit
  • Figure 27. FICO [United States] Revenue: by Geography 2020
  • Figure 28. Yottamine Analytics [United States] Revenue, Net Income and Gross profit
  • Figure 29. Yottamine Analytics [United States] Revenue: by Geography 2020
  • Figure 30. Ersatz Labs [United States] Revenue, Net Income and Gross profit
  • Figure 31. Ersatz Labs [United States] Revenue: by Geography 2020
  • Figure 32. Predictron Labs [United Kingdom] Revenue, Net Income and Gross profit
  • Figure 33. Predictron Labs [United Kingdom] Revenue: by Geography 2020
  • Figure 34. H2O.ai [United States] Revenue, Net Income and Gross profit
  • Figure 35. H2O.ai [United States] Revenue: by Geography 2020
  • Figure 36. AT&T [United States] Revenue, Net Income and Gross profit
  • Figure 37. AT&T [United States] Revenue: by Geography 2020
  • Figure 38. Sift Science [United States] Revenue, Net Income and Gross profit
  • Figure 39. Sift Science [United States] Revenue: by Geography 2020
  • Figure 40. Global Machine Learning as a Service: by Application USD Billion (2021-2026)
  • Figure 41. Global Machine Learning as a Service: by End Users USD Billion (2021-2026)
  • Figure 42. Global Machine Learning as a Service: by Organization Sizes USD Billion (2021-2026)
  • Figure 43. South America Machine Learning as a Service Share (%), by Country
  • Figure 44. Asia Pacific Machine Learning as a Service Share (%), by Country
  • Figure 45. Europe Machine Learning as a Service Share (%), by Country
  • Figure 46. MEA Machine Learning as a Service Share (%), by Country
  • Figure 47. North America Machine Learning as a Service Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Google [United States]
  • IBM Corporation [United States]
  • Microsoft Corporation [United States]
  • Amazon Web Services [United States]
  • BigML [United States]
  • FICO [United States]
  • Yottamine Analytics [United States]
  • Ersatz Labs [United States]
  • Predictron Labs [United Kingdom]
  • H2O.ai [United States]
  • AT&T [United States]
  • Sift Science [United States]
Additional players considered in the study are as follows:
Hewlett Packard Enterprise [United States] , iCarbonX [China] , PurePredictive, Inc. [United States] , Arimo Inc [United States] , Domino [United States] , DATAIKU SAS [France]
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Key Highlights of Report


Jun 2021 216 Pages 87 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Machine Learning as a Service Market Quantitative research analysis
Global Machine Learning as a Service Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

Machine Learning as a Service Market is heading robustly to achieve new growth cycle.
The Concentration Rate of Global Machine Learning as a Service market is dominated by United States Players to generate healthy valuation by 2026.
Companies that are profiled in Global Machine Learning as a Service Market are Google [United States], IBM Corporation [United States], Microsoft Corporation [United States], Amazon Web Services [United States], BigML [United States], FICO [United States], Yottamine Analytics [United States], Ersatz Labs [United States], Predictron Labs [United Kingdom], H2O.ai [United States], AT&T [United States] and Sift Science [United States] etc.

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