Global Data Science and Machine Learning Platforms Market
Global Data Science and Machine Learning Platforms Market

Data Science and Machine Learning Platforms Comprehensive Study by Organization Size (Small and Medium-sized Enterprises (SMEs), Large Enterprises), Service (Managed Services, Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance)), Deployment (Cloud, On-premises), Functions (Marketing, Sales, Logistics, Finance and Accounting, Customer Support, Other), Application (BFSI, Education and Government, Healthcare and Life Sciences, Logistics and Transportation, Manufacturing, Oil and Gas, Retail, Telecommunications and Communications, Other) Players and Region - Global Market Outlook to 2025

Data Science and Machine Learning Platforms Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Jun 2020 Edition 220 Pages 213 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Scope of the Study

Data Science and Machine Learning Platforms enables businesses to develop and deploy their own data science and machine learning solutions. These platform provides real-time data streaming and more advanced data pipeline to redefine big data into different categories such as actionable and fast data. These platforms are widely being used by data scientists, business analysts, data engineers, and developers in different fields of business to prepare data, build models, and operationalize analytics. In the coming years, adoption of data science and machine learning platforms in various industry verticals is expected to rise exponentially. In addition, the technological advancement and proliferation in data generation will boost the market growth in upcoming years.

The market study is being classified and major geographies with country level break-up.

Anaconda (United States), Alteryx (United States), Databricks(United States), Dataiku (United States), DataRobot (United States), Datawatch (United States), Domino Data Lab (United States), Google (United States), H2O.ai (United States) IBM (United States), KNIME (Switzerland), MathWorks (United States), Microsoft (United States), RapidMiner (United States), SAP (Germany), SAS (United States) and TIBCO Software (United States) are some of the key players profiled in the study.

Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Data Science and Machine Learning Platforms market throughout the predicted period.

Segment Analysis
AdvanceMarketAnalytics has segmented the market of Global Data Science and Machine Learning Platforms market by Type, Application and Region.

On the basis of geography, the market of Data Science and Machine Learning Platforms has been segmented into 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). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Enterprises Focusing On Ease Of Use Methods To Drive Business
  • Growing Need To Extract In-Depth Insights From Voluminous Data To Gain Competitive Advantage
  • Increasing Adoption Of Cloud Deployments

Market Trend
  • Adoption Of Big Data Technology

Restraints
  • Data Privacy, Security, And Reliability Concerns

Opportunities
  • Higher Inclination Of Enterprises Toward Data-Intensive Business Strategies
  • Rise In Adoption Of The Internet of Things (IoT) Technology
  • Proliferation in Data Generation

Challenges
  • Lack of Adequately Skilled Workforce


In April 2019, Google introduced an Artificial Intelligence (AI) platform to ease the development of Machine Learning (ML) projects. This platform is integrated with toolchain to assist in building and running ML applications.


Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, Data Science and Machine Learning Platforms Providers, Cloud Service Providers, Business Solution Providers, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations and End User Industry

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Organization Size
  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

By Service
  • Managed Services
  • Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance)

By Deployment
  • Cloud
  • On-premises

By Functions
  • Marketing
  • Sales
  • Logistics
  • Finance and Accounting
  • Customer Support
  • Other

By Application
  • BFSI
  • Education and Government
  • Healthcare and Life Sciences
  • Logistics and Transportation
  • Manufacturing
  • Oil and Gas
  • Retail
  • Telecommunications and Communications
  • Other

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. Enterprises Focusing On Ease Of Use Methods To Drive Business
      • 3.2.2. Growing Need To Extract In-Depth Insights From Voluminous Data To Gain Competitive Advantage
      • 3.2.3. Increasing Adoption Of Cloud Deployments
    • 3.3. Market Challenges
      • 3.3.1. Lack of Adequately Skilled Workforce
    • 3.4. Market Trends
      • 3.4.1. Adoption Of Big Data Technology
  • 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 Data Science and Machine Learning Platforms, by Organization Size, Service, Deployment, Functions, Application and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Data Science and Machine Learning Platforms (Value)
      • 5.2.1. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 5.2.1.1. BFSI
        • 5.2.1.2. Education and Government
        • 5.2.1.3. Healthcare and Life Sciences
        • 5.2.1.4. Logistics and Transportation
        • 5.2.1.5. Manufacturing
        • 5.2.1.6. Oil and Gas
        • 5.2.1.7. Retail
        • 5.2.1.8. Telecommunications and Communications
        • 5.2.1.9. Other
      • 5.2.2. Global Data Science and Machine Learning Platforms by: Organization Size (Value)
        • 5.2.2.1. Small and Medium-sized Enterprises (SMEs)
        • 5.2.2.2. Large Enterprises
      • 5.2.3. Global Data Science and Machine Learning Platforms by: Service (Value)
        • 5.2.3.1. Managed Services
        • 5.2.3.2. Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance)
      • 5.2.4. Global Data Science and Machine Learning Platforms by: Deployment (Value)
        • 5.2.4.1. Cloud
        • 5.2.4.2. On-premises
      • 5.2.5. Global Data Science and Machine Learning Platforms by: Functions (Value)
        • 5.2.5.1. Marketing
        • 5.2.5.2. Sales
        • 5.2.5.3. Logistics
        • 5.2.5.4. Finance and Accounting
        • 5.2.5.5. Customer Support
        • 5.2.5.6. Other
      • 5.2.6. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 5.2.6.1. BFSI
        • 5.2.6.2. Education and Government
        • 5.2.6.3. Healthcare and Life Sciences
        • 5.2.6.4. Logistics and Transportation
        • 5.2.6.5. Manufacturing
        • 5.2.6.6. Oil and Gas
        • 5.2.6.7. Retail
        • 5.2.6.8. Telecommunications and Communications
        • 5.2.6.9. Other
      • 5.2.7. Global Data Science and Machine Learning Platforms Region
        • 5.2.7.1. South America
          • 5.2.7.1.1. Brazil
          • 5.2.7.1.2. Argentina
          • 5.2.7.1.3. Rest of South America
        • 5.2.7.2. Asia Pacific
          • 5.2.7.2.1. China
          • 5.2.7.2.2. Japan
          • 5.2.7.2.3. India
          • 5.2.7.2.4. South Korea
          • 5.2.7.2.5. Taiwan
          • 5.2.7.2.6. Australia
          • 5.2.7.2.7. Rest of Asia-Pacific
        • 5.2.7.3. Europe
          • 5.2.7.3.1. Germany
          • 5.2.7.3.2. France
          • 5.2.7.3.3. Italy
          • 5.2.7.3.4. United Kingdom
          • 5.2.7.3.5. Netherlands
          • 5.2.7.3.6. Rest of Europe
        • 5.2.7.4. MEA
          • 5.2.7.4.1. Middle East
          • 5.2.7.4.2. Africa
        • 5.2.7.5. North America
          • 5.2.7.5.1. United States
          • 5.2.7.5.2. Canada
          • 5.2.7.5.3. Mexico
  • 6. Data Science and Machine Learning Platforms: 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 (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Anaconda (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. Alteryx (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. Databricks(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. Dataiku (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. DataRobot (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. Datawatch (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. Domino Data Lab (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. Google (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. H2O.ai (United States) IBM (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. KNIME (Switzerland)
        • 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. MathWorks (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. Microsoft (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
      • 6.4.13. RapidMiner (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. SAP (Germany)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. SAS (United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. TIBCO Software (United States)
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
  • 7. Global Data Science and Machine Learning Platforms Sale, by Organization Size, Service, Deployment, Functions, Application and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Data Science and Machine Learning Platforms (Value)
      • 7.2.1. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 7.2.1.1. BFSI
        • 7.2.1.2. Education and Government
        • 7.2.1.3. Healthcare and Life Sciences
        • 7.2.1.4. Logistics and Transportation
        • 7.2.1.5. Manufacturing
        • 7.2.1.6. Oil and Gas
        • 7.2.1.7. Retail
        • 7.2.1.8. Telecommunications and Communications
        • 7.2.1.9. Other
      • 7.2.2. Global Data Science and Machine Learning Platforms by: Organization Size (Value)
        • 7.2.2.1. Small and Medium-sized Enterprises (SMEs)
        • 7.2.2.2. Large Enterprises
      • 7.2.3. Global Data Science and Machine Learning Platforms by: Service (Value)
        • 7.2.3.1. Managed Services
        • 7.2.3.2. Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance)
      • 7.2.4. Global Data Science and Machine Learning Platforms by: Deployment (Value)
        • 7.2.4.1. Cloud
        • 7.2.4.2. On-premises
      • 7.2.5. Global Data Science and Machine Learning Platforms by: Functions (Value)
        • 7.2.5.1. Marketing
        • 7.2.5.2. Sales
        • 7.2.5.3. Logistics
        • 7.2.5.4. Finance and Accounting
        • 7.2.5.5. Customer Support
        • 7.2.5.6. Other
      • 7.2.6. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 7.2.6.1. BFSI
        • 7.2.6.2. Education and Government
        • 7.2.6.3. Healthcare and Life Sciences
        • 7.2.6.4. Logistics and Transportation
        • 7.2.6.5. Manufacturing
        • 7.2.6.6. Oil and Gas
        • 7.2.6.7. Retail
        • 7.2.6.8. Telecommunications and Communications
        • 7.2.6.9. Other
      • 7.2.7. Global Data Science and Machine Learning Platforms Region
        • 7.2.7.1. South America
          • 7.2.7.1.1. Brazil
          • 7.2.7.1.2. Argentina
          • 7.2.7.1.3. Rest of South America
        • 7.2.7.2. Asia Pacific
          • 7.2.7.2.1. China
          • 7.2.7.2.2. Japan
          • 7.2.7.2.3. India
          • 7.2.7.2.4. South Korea
          • 7.2.7.2.5. Taiwan
          • 7.2.7.2.6. Australia
          • 7.2.7.2.7. Rest of Asia-Pacific
        • 7.2.7.3. Europe
          • 7.2.7.3.1. Germany
          • 7.2.7.3.2. France
          • 7.2.7.3.3. Italy
          • 7.2.7.3.4. United Kingdom
          • 7.2.7.3.5. Netherlands
          • 7.2.7.3.6. Rest of Europe
        • 7.2.7.4. MEA
          • 7.2.7.4.1. Middle East
          • 7.2.7.4.2. Africa
        • 7.2.7.5. North America
          • 7.2.7.5.1. United States
          • 7.2.7.5.2. Canada
          • 7.2.7.5.3. 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. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 2. Data Science and Machine Learning Platforms BFSI , by Region USD Million (2014-2019)
  • Table 3. Data Science and Machine Learning Platforms Education and Government , by Region USD Million (2014-2019)
  • Table 4. Data Science and Machine Learning Platforms Healthcare and Life Sciences , by Region USD Million (2014-2019)
  • Table 5. Data Science and Machine Learning Platforms Logistics and Transportation , by Region USD Million (2014-2019)
  • Table 6. Data Science and Machine Learning Platforms Manufacturing , by Region USD Million (2014-2019)
  • Table 7. Data Science and Machine Learning Platforms Oil and Gas , by Region USD Million (2014-2019)
  • Table 8. Data Science and Machine Learning Platforms Retail , by Region USD Million (2014-2019)
  • Table 9. Data Science and Machine Learning Platforms Telecommunications and Communications , by Region USD Million (2014-2019)
  • Table 10. Data Science and Machine Learning Platforms Other , by Region USD Million (2014-2019)
  • Table 11. Data Science and Machine Learning Platforms: by Organization Size(USD Million)
  • Table 12. Data Science and Machine Learning Platforms Small and Medium-sized Enterprises (SMEs) , by Region USD Million (2014-2019)
  • Table 13. Data Science and Machine Learning Platforms Large Enterprises , by Region USD Million (2014-2019)
  • Table 14. Data Science and Machine Learning Platforms: by Service(USD Million)
  • Table 15. Data Science and Machine Learning Platforms Managed Services , by Region USD Million (2014-2019)
  • Table 16. Data Science and Machine Learning Platforms Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance) , by Region USD Million (2014-2019)
  • Table 17. Data Science and Machine Learning Platforms: by Deployment(USD Million)
  • Table 18. Data Science and Machine Learning Platforms Cloud , by Region USD Million (2014-2019)
  • Table 19. Data Science and Machine Learning Platforms On-premises , by Region USD Million (2014-2019)
  • Table 20. Data Science and Machine Learning Platforms: by Functions(USD Million)
  • Table 21. Data Science and Machine Learning Platforms Marketing , by Region USD Million (2014-2019)
  • Table 22. Data Science and Machine Learning Platforms Sales , by Region USD Million (2014-2019)
  • Table 23. Data Science and Machine Learning Platforms Logistics , by Region USD Million (2014-2019)
  • Table 24. Data Science and Machine Learning Platforms Finance and Accounting , by Region USD Million (2014-2019)
  • Table 25. Data Science and Machine Learning Platforms Customer Support , by Region USD Million (2014-2019)
  • Table 26. Data Science and Machine Learning Platforms Other , by Region USD Million (2014-2019)
  • Table 27. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 28. Data Science and Machine Learning Platforms BFSI , by Region USD Million (2014-2019)
  • Table 29. Data Science and Machine Learning Platforms Education and Government , by Region USD Million (2014-2019)
  • Table 30. Data Science and Machine Learning Platforms Healthcare and Life Sciences , by Region USD Million (2014-2019)
  • Table 31. Data Science and Machine Learning Platforms Logistics and Transportation , by Region USD Million (2014-2019)
  • Table 32. Data Science and Machine Learning Platforms Manufacturing , by Region USD Million (2014-2019)
  • Table 33. Data Science and Machine Learning Platforms Oil and Gas , by Region USD Million (2014-2019)
  • Table 34. Data Science and Machine Learning Platforms Retail , by Region USD Million (2014-2019)
  • Table 35. Data Science and Machine Learning Platforms Telecommunications and Communications , by Region USD Million (2014-2019)
  • Table 36. Data Science and Machine Learning Platforms Other , by Region USD Million (2014-2019)
  • Table 37. South America Data Science and Machine Learning Platforms, by Country USD Million (2014-2019)
  • Table 38. South America Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 39. South America Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 40. South America Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 41. South America Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 42. South America Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 43. Brazil Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 44. Brazil Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 45. Brazil Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 46. Brazil Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 47. Brazil Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 48. Argentina Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 49. Argentina Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 50. Argentina Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 51. Argentina Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 52. Argentina Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 53. Rest of South America Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 54. Rest of South America Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 55. Rest of South America Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 56. Rest of South America Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 57. Rest of South America Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 58. Asia Pacific Data Science and Machine Learning Platforms, by Country USD Million (2014-2019)
  • Table 59. Asia Pacific Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 60. Asia Pacific Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 61. Asia Pacific Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 62. Asia Pacific Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 63. Asia Pacific Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 64. China Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 65. China Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 66. China Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 67. China Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 68. China Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 69. Japan Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 70. Japan Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 71. Japan Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 72. Japan Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 73. Japan Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 74. India Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 75. India Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 76. India Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 77. India Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 78. India Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 79. South Korea Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 80. South Korea Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 81. South Korea Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 82. South Korea Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 83. South Korea Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 84. Taiwan Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 85. Taiwan Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 86. Taiwan Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 87. Taiwan Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 88. Taiwan Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 89. Australia Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 90. Australia Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 91. Australia Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 92. Australia Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 93. Australia Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 94. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 95. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 96. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 97. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 98. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 99. Europe Data Science and Machine Learning Platforms, by Country USD Million (2014-2019)
  • Table 100. Europe Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 101. Europe Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 102. Europe Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 103. Europe Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 104. Europe Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 105. Germany Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 106. Germany Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 107. Germany Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 108. Germany Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 109. Germany Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 110. France Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 111. France Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 112. France Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 113. France Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 114. France Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 115. Italy Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 116. Italy Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 117. Italy Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 118. Italy Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 119. Italy Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 120. United Kingdom Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 121. United Kingdom Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 122. United Kingdom Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 123. United Kingdom Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 124. United Kingdom Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 125. Netherlands Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 126. Netherlands Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 127. Netherlands Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 128. Netherlands Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 129. Netherlands Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 130. Rest of Europe Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 131. Rest of Europe Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 132. Rest of Europe Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 133. Rest of Europe Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 134. Rest of Europe Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 135. MEA Data Science and Machine Learning Platforms, by Country USD Million (2014-2019)
  • Table 136. MEA Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 137. MEA Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 138. MEA Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 139. MEA Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 140. MEA Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 141. Middle East Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 142. Middle East Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 143. Middle East Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 144. Middle East Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 145. Middle East Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 146. Africa Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 147. Africa Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 148. Africa Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 149. Africa Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 150. Africa Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 151. North America Data Science and Machine Learning Platforms, by Country USD Million (2014-2019)
  • Table 152. North America Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 153. North America Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 154. North America Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 155. North America Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 156. North America Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 157. United States Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 158. United States Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 159. United States Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 160. United States Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 161. United States Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 162. Canada Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 163. Canada Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 164. Canada Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 165. Canada Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 166. Canada Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 167. Mexico Data Science and Machine Learning Platforms, by Organization Size USD Million (2014-2019)
  • Table 168. Mexico Data Science and Machine Learning Platforms, by Service USD Million (2014-2019)
  • Table 169. Mexico Data Science and Machine Learning Platforms, by Deployment USD Million (2014-2019)
  • Table 170. Mexico Data Science and Machine Learning Platforms, by Functions USD Million (2014-2019)
  • Table 171. Mexico Data Science and Machine Learning Platforms, by Application USD Million (2014-2019)
  • Table 172. Company Basic Information, Sales Area and Its Competitors
  • Table 173. Company Basic Information, Sales Area and Its Competitors
  • Table 174. Company Basic Information, Sales Area and Its Competitors
  • Table 175. Company Basic Information, Sales Area and Its Competitors
  • Table 176. Company Basic Information, Sales Area and Its Competitors
  • Table 177. Company Basic Information, Sales Area and Its Competitors
  • Table 178. Company Basic Information, Sales Area and Its Competitors
  • Table 179. Company Basic Information, Sales Area and Its Competitors
  • Table 180. Company Basic Information, Sales Area and Its Competitors
  • Table 181. Company Basic Information, Sales Area and Its Competitors
  • Table 182. Company Basic Information, Sales Area and Its Competitors
  • Table 183. Company Basic Information, Sales Area and Its Competitors
  • Table 184. Company Basic Information, Sales Area and Its Competitors
  • Table 185. Company Basic Information, Sales Area and Its Competitors
  • Table 186. Company Basic Information, Sales Area and Its Competitors
  • Table 187. Company Basic Information, Sales Area and Its Competitors
  • Table 188. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 189. Data Science and Machine Learning Platforms BFSI , by Region USD Million (2020-2025)
  • Table 190. Data Science and Machine Learning Platforms Education and Government , by Region USD Million (2020-2025)
  • Table 191. Data Science and Machine Learning Platforms Healthcare and Life Sciences , by Region USD Million (2020-2025)
  • Table 192. Data Science and Machine Learning Platforms Logistics and Transportation , by Region USD Million (2020-2025)
  • Table 193. Data Science and Machine Learning Platforms Manufacturing , by Region USD Million (2020-2025)
  • Table 194. Data Science and Machine Learning Platforms Oil and Gas , by Region USD Million (2020-2025)
  • Table 195. Data Science and Machine Learning Platforms Retail , by Region USD Million (2020-2025)
  • Table 196. Data Science and Machine Learning Platforms Telecommunications and Communications , by Region USD Million (2020-2025)
  • Table 197. Data Science and Machine Learning Platforms Other , by Region USD Million (2020-2025)
  • Table 198. Data Science and Machine Learning Platforms: by Organization Size(USD Million)
  • Table 199. Data Science and Machine Learning Platforms Small and Medium-sized Enterprises (SMEs) , by Region USD Million (2020-2025)
  • Table 200. Data Science and Machine Learning Platforms Large Enterprises , by Region USD Million (2020-2025)
  • Table 201. Data Science and Machine Learning Platforms: by Service(USD Million)
  • Table 202. Data Science and Machine Learning Platforms Managed Services , by Region USD Million (2020-2025)
  • Table 203. Data Science and Machine Learning Platforms Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance) , by Region USD Million (2020-2025)
  • Table 204. Data Science and Machine Learning Platforms: by Deployment(USD Million)
  • Table 205. Data Science and Machine Learning Platforms Cloud , by Region USD Million (2020-2025)
  • Table 206. Data Science and Machine Learning Platforms On-premises , by Region USD Million (2020-2025)
  • Table 207. Data Science and Machine Learning Platforms: by Functions(USD Million)
  • Table 208. Data Science and Machine Learning Platforms Marketing , by Region USD Million (2020-2025)
  • Table 209. Data Science and Machine Learning Platforms Sales , by Region USD Million (2020-2025)
  • Table 210. Data Science and Machine Learning Platforms Logistics , by Region USD Million (2020-2025)
  • Table 211. Data Science and Machine Learning Platforms Finance and Accounting , by Region USD Million (2020-2025)
  • Table 212. Data Science and Machine Learning Platforms Customer Support , by Region USD Million (2020-2025)
  • Table 213. Data Science and Machine Learning Platforms Other , by Region USD Million (2020-2025)
  • Table 214. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 215. Data Science and Machine Learning Platforms BFSI , by Region USD Million (2020-2025)
  • Table 216. Data Science and Machine Learning Platforms Education and Government , by Region USD Million (2020-2025)
  • Table 217. Data Science and Machine Learning Platforms Healthcare and Life Sciences , by Region USD Million (2020-2025)
  • Table 218. Data Science and Machine Learning Platforms Logistics and Transportation , by Region USD Million (2020-2025)
  • Table 219. Data Science and Machine Learning Platforms Manufacturing , by Region USD Million (2020-2025)
  • Table 220. Data Science and Machine Learning Platforms Oil and Gas , by Region USD Million (2020-2025)
  • Table 221. Data Science and Machine Learning Platforms Retail , by Region USD Million (2020-2025)
  • Table 222. Data Science and Machine Learning Platforms Telecommunications and Communications , by Region USD Million (2020-2025)
  • Table 223. Data Science and Machine Learning Platforms Other , by Region USD Million (2020-2025)
  • Table 224. South America Data Science and Machine Learning Platforms, by Country USD Million (2020-2025)
  • Table 225. South America Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 226. South America Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 227. South America Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 228. South America Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 229. South America Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 230. Brazil Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 231. Brazil Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 232. Brazil Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 233. Brazil Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 234. Brazil Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 235. Argentina Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 236. Argentina Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 237. Argentina Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 238. Argentina Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 239. Argentina Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 240. Rest of South America Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 241. Rest of South America Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 242. Rest of South America Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 243. Rest of South America Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 244. Rest of South America Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 245. Asia Pacific Data Science and Machine Learning Platforms, by Country USD Million (2020-2025)
  • Table 246. Asia Pacific Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 247. Asia Pacific Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 248. Asia Pacific Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 249. Asia Pacific Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 250. Asia Pacific Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 251. China Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 252. China Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 253. China Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 254. China Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 255. China Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 256. Japan Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 257. Japan Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 258. Japan Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 259. Japan Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 260. Japan Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 261. India Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 262. India Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 263. India Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 264. India Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 265. India Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 266. South Korea Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 267. South Korea Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 268. South Korea Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 269. South Korea Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 270. South Korea Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 271. Taiwan Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 272. Taiwan Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 273. Taiwan Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 274. Taiwan Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 275. Taiwan Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 276. Australia Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 277. Australia Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 278. Australia Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 279. Australia Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 280. Australia Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 281. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 282. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 283. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 284. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 285. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 286. Europe Data Science and Machine Learning Platforms, by Country USD Million (2020-2025)
  • Table 287. Europe Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 288. Europe Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 289. Europe Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 290. Europe Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 291. Europe Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 292. Germany Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 293. Germany Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 294. Germany Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 295. Germany Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 296. Germany Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 297. France Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 298. France Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 299. France Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 300. France Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 301. France Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 302. Italy Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 303. Italy Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 304. Italy Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 305. Italy Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 306. Italy Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 307. United Kingdom Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 308. United Kingdom Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 309. United Kingdom Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 310. United Kingdom Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 311. United Kingdom Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 312. Netherlands Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 313. Netherlands Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 314. Netherlands Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 315. Netherlands Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 316. Netherlands Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 317. Rest of Europe Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 318. Rest of Europe Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 319. Rest of Europe Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 320. Rest of Europe Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 321. Rest of Europe Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 322. MEA Data Science and Machine Learning Platforms, by Country USD Million (2020-2025)
  • Table 323. MEA Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 324. MEA Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 325. MEA Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 326. MEA Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 327. MEA Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 328. Middle East Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 329. Middle East Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 330. Middle East Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 331. Middle East Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 332. Middle East Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 333. Africa Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 334. Africa Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 335. Africa Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 336. Africa Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 337. Africa Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 338. North America Data Science and Machine Learning Platforms, by Country USD Million (2020-2025)
  • Table 339. North America Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 340. North America Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 341. North America Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 342. North America Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 343. North America Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 344. United States Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 345. United States Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 346. United States Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 347. United States Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 348. United States Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 349. Canada Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 350. Canada Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 351. Canada Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 352. Canada Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 353. Canada Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 354. Mexico Data Science and Machine Learning Platforms, by Organization Size USD Million (2020-2025)
  • Table 355. Mexico Data Science and Machine Learning Platforms, by Service USD Million (2020-2025)
  • Table 356. Mexico Data Science and Machine Learning Platforms, by Deployment USD Million (2020-2025)
  • Table 357. Mexico Data Science and Machine Learning Platforms, by Functions USD Million (2020-2025)
  • Table 358. Mexico Data Science and Machine Learning Platforms, by Application USD Million (2020-2025)
  • Table 359. Research Programs/Design for This Report
  • Table 360. Key Data Information from Secondary Sources
  • Table 361. 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 Data Science and Machine Learning Platforms: by Application USD Million (2014-2019)
  • Figure 5. Global Data Science and Machine Learning Platforms: by Organization Size USD Million (2014-2019)
  • Figure 6. Global Data Science and Machine Learning Platforms: by Service USD Million (2014-2019)
  • Figure 7. Global Data Science and Machine Learning Platforms: by Deployment USD Million (2014-2019)
  • Figure 8. Global Data Science and Machine Learning Platforms: by Functions USD Million (2014-2019)
  • Figure 9. Global Data Science and Machine Learning Platforms: by Application USD Million (2014-2019)
  • Figure 10. South America Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 11. Asia Pacific Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 12. Europe Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 13. MEA Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 14. North America Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 15. Global Data Science and Machine Learning Platforms share by Players 2019 (%)
  • Figure 16. Global Data Science and Machine Learning Platforms share by Players (Top 3) 2019(%)
  • Figure 17. Global Data Science and Machine Learning Platforms share by Players (Top 5) 2019(%)
  • Figure 18. BCG Matrix for key Companies
  • Figure 19. Anaconda (United States) Revenue, Net Income and Gross profit
  • Figure 20. Anaconda (United States) Revenue: by Geography 2019
  • Figure 21. Alteryx (United States) Revenue, Net Income and Gross profit
  • Figure 22. Alteryx (United States) Revenue: by Geography 2019
  • Figure 23. Databricks(United States) Revenue, Net Income and Gross profit
  • Figure 24. Databricks(United States) Revenue: by Geography 2019
  • Figure 25. Dataiku (United States) Revenue, Net Income and Gross profit
  • Figure 26. Dataiku (United States) Revenue: by Geography 2019
  • Figure 27. DataRobot (United States) Revenue, Net Income and Gross profit
  • Figure 28. DataRobot (United States) Revenue: by Geography 2019
  • Figure 29. Datawatch (United States) Revenue, Net Income and Gross profit
  • Figure 30. Datawatch (United States) Revenue: by Geography 2019
  • Figure 31. Domino Data Lab (United States) Revenue, Net Income and Gross profit
  • Figure 32. Domino Data Lab (United States) Revenue: by Geography 2019
  • Figure 33. Google (United States) Revenue, Net Income and Gross profit
  • Figure 34. Google (United States) Revenue: by Geography 2019
  • Figure 35. H2O.ai (United States) IBM (United States) Revenue, Net Income and Gross profit
  • Figure 36. H2O.ai (United States) IBM (United States) Revenue: by Geography 2019
  • Figure 37. KNIME (Switzerland) Revenue, Net Income and Gross profit
  • Figure 38. KNIME (Switzerland) Revenue: by Geography 2019
  • Figure 39. MathWorks (United States) Revenue, Net Income and Gross profit
  • Figure 40. MathWorks (United States) Revenue: by Geography 2019
  • Figure 41. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 42. Microsoft (United States) Revenue: by Geography 2019
  • Figure 43. RapidMiner (United States) Revenue, Net Income and Gross profit
  • Figure 44. RapidMiner (United States) Revenue: by Geography 2019
  • Figure 45. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 46. SAP (Germany) Revenue: by Geography 2019
  • Figure 47. SAS (United States) Revenue, Net Income and Gross profit
  • Figure 48. SAS (United States) Revenue: by Geography 2019
  • Figure 49. TIBCO Software (United States) Revenue, Net Income and Gross profit
  • Figure 50. TIBCO Software (United States) Revenue: by Geography 2019
  • Figure 51. Global Data Science and Machine Learning Platforms: by Application USD Million (2020-2025)
  • Figure 52. Global Data Science and Machine Learning Platforms: by Organization Size USD Million (2020-2025)
  • Figure 53. Global Data Science and Machine Learning Platforms: by Service USD Million (2020-2025)
  • Figure 54. Global Data Science and Machine Learning Platforms: by Deployment USD Million (2020-2025)
  • Figure 55. Global Data Science and Machine Learning Platforms: by Functions USD Million (2020-2025)
  • Figure 56. Global Data Science and Machine Learning Platforms: by Application USD Million (2020-2025)
  • Figure 57. South America Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 58. Asia Pacific Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 59. Europe Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 60. MEA Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 61. North America Data Science and Machine Learning Platforms Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Anaconda (United States)
  • Alteryx (United States)
  • Databricks(United States)
  • Dataiku (United States)
  • DataRobot (United States)
  • Datawatch (United States)
  • Domino Data Lab (United States)
  • Google (United States)
  • H2O.ai (United States) IBM (United States)
  • KNIME (Switzerland)
  • MathWorks (United States)
  • Microsoft (United States)
  • RapidMiner (United States)
  • SAP (Germany)
  • SAS (United States)
  • TIBCO Software (United States)
Select License Type
Sample Report Enquiry Before Buy Request Discount

Speak with Analyst

Want to find out more about this report?

Get Free Consultation