Data Science and ML Platforms
Data Science and ML Platforms

Data Science and ML Platforms Comprehensive Study by Organization Size (Small and Medium Enterprises (SMEs), Large Enterprises), Platform (Windows, Linux, Others), Deployment (Cloud-based, Web-based, Others), Verticals (Banking, Pharmaceuticals, Manufacturing, Retail and CPG, Others) Players and Region - Global Market Outlook to 2027

Data Science and ML Platforms Market Segmented into XX Submarkets. | Forecast Years: 2022- 2027  

Mar 2022 Edition 237 Pages 218 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
What is Data Science and ML Platforms?
Data science and ML platforms are software products that data scientists use to help them develop and deploy their own data science and machine-learning solutions. It is a cohesive software application that offers a mixture of basic building blocks essential both for creating many kinds of data science solutions and incorporating such solutions into business processes, surrounding infrastructure, and products. Machine learning is a popular subset of data science that warrants specific attention when evaluating these platforms.

The market study is broken down and major geographies with country level break-up.

The Global Data Science and ML Platforms is a fragmented market due to the presence of various players. The players are focusing on investing more in research & development activities and investing in it. These will boost new launches and enhance their market presence. The companies are also planning n strategic activities like mergers, acquisitions, and partnerships, which will help sustain them in the market and maintain their competitive edge. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

MathWorks (United States), Alteryx (United States), IBM (United States), Dataiku (United States), DataRobot (United States), SAS (United States), Databricks (United States), KNIME (United States), Amazon Web Services (AWS) (United States) and Google (United States) are some of the key players that are part of study coverage.

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global Data Science and ML Platforms market by Type, Application and Region.

On the basis of geography, the market of Data Science and ML Platforms has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, 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). If we see Market by Organization Size, the sub-segment i.e. Small and Medium Enterprises (SMEs) will boost the Data Science and ML Platforms market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Platform, the sub-segment i.e. Windows will boost the Data Science and ML Platforms market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment, the sub-segment i.e. Cloud-based will boost the Data Science and ML Platforms market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Verticals, the sub-segment i.e. Banking will boost the Data Science and ML Platforms market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

On 23rd September 2021, Amazon Web Services (AWS) announced the launching of data centers in New Zealand in 2024. The infrastructure hub will be owned and operated by a local AWS entity and allows developers, start-ups, government, and other organizations to use the data centers located in New Zealand.


Market Trend
  • Technological Advancement over the Globe

Market Drivers
  • Increasing Application of Data Science and ML Platforms to Build Models in Manufacturing Sector

Opportunities
  • Growing Demand from Educational Institutes can create Opportunities for the Market Growth
  • The surge in Data and its Correlated Fields

Restraints
  • Concerns Related to Data Privacy


Key Target Audience
Data Science and ML Platforms Developers, Regulatory Bodies, Potential Investors, Research and Development Institutes and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have the better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with purpose to understand company’s positioning regarding market value, volume and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders etc. and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, analyst team keeps preparing set of questionnaires and after getting appointee list; the target audience are then tapped and segregated with various mediums and channels that are feasible for making connection that includes email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey etc.

Frequently Asked Questions (FAQ):

1. What all players are profiled in the study?
The standard version of the report profiles players such as MathWorks (United States), Alteryx (United States), IBM (United States), Dataiku (United States), DataRobot (United States), SAS (United States), Databricks (United States), KNIME (United States), Amazon Web Services (AWS) (United States) and Google (United States) etc.

2. Can we have customized study for Data Science and ML Platforms Market?
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.

3. What would be the Market Size of Data Science and ML Platforms Market by 2027?
Analysts at AMA estimates Data Science and ML Platforms Market to reach USD Million by 2027.
Report Objectives / Segmentation Covered
By Organization Size
  • Small and Medium Enterprises (SMEs)
  • Large Enterprises

By Platform
  • Windows
  • Linux
  • Others

By Deployment
  • Cloud-based
  • Web-based
  • Others

By Verticals
  • Banking
  • Pharmaceuticals
  • Manufacturing
  • Retail and CPG
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • 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. Increasing Application of Data Science and ML Platforms to Build Models in Manufacturing Sector
    • 3.3. Market Trends
      • 3.3.1. Technological Advancement over the Globe
  • 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 ML Platforms, by Organization Size, Platform, Deployment, Verticals and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Data Science and ML Platforms (Value)
      • 5.2.1. Global Data Science and ML Platforms by: Organization Size (Value)
        • 5.2.1.1. Small and Medium Enterprises (SMEs)
        • 5.2.1.2. Large Enterprises
      • 5.2.2. Global Data Science and ML Platforms by: Platform (Value)
        • 5.2.2.1. Windows
        • 5.2.2.2. Linux
        • 5.2.2.3. Others
      • 5.2.3. Global Data Science and ML Platforms by: Deployment (Value)
        • 5.2.3.1. Cloud-based
        • 5.2.3.2. Web-based
        • 5.2.3.3. Others
      • 5.2.4. Global Data Science and ML Platforms by: Verticals (Value)
        • 5.2.4.1. Banking
        • 5.2.4.2. Pharmaceuticals
        • 5.2.4.3. Manufacturing
        • 5.2.4.4. Retail and CPG
        • 5.2.4.5. Others
      • 5.2.5. Global Data Science and ML Platforms Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Australia
          • 5.2.5.2.6. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Data Science and ML Platforms (Price)
  • 6. Data Science and ML 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 (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. MathWorks (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. IBM (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. SAS (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. Databricks (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. KNIME (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. Amazon Web Services (AWS) (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. Google (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
  • 7. Global Data Science and ML Platforms Sale, by Organization Size, Platform, Deployment, Verticals and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Data Science and ML Platforms (Value)
      • 7.2.1. Global Data Science and ML Platforms by: Organization Size (Value)
        • 7.2.1.1. Small and Medium Enterprises (SMEs)
        • 7.2.1.2. Large Enterprises
      • 7.2.2. Global Data Science and ML Platforms by: Platform (Value)
        • 7.2.2.1. Windows
        • 7.2.2.2. Linux
        • 7.2.2.3. Others
      • 7.2.3. Global Data Science and ML Platforms by: Deployment (Value)
        • 7.2.3.1. Cloud-based
        • 7.2.3.2. Web-based
        • 7.2.3.3. Others
      • 7.2.4. Global Data Science and ML Platforms by: Verticals (Value)
        • 7.2.4.1. Banking
        • 7.2.4.2. Pharmaceuticals
        • 7.2.4.3. Manufacturing
        • 7.2.4.4. Retail and CPG
        • 7.2.4.5. Others
      • 7.2.5. Global Data Science and ML Platforms Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Australia
          • 7.2.5.2.6. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Data Science and ML Platforms (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Data Science and ML Platforms: by Organization Size(USD Million)
  • Table 2. Data Science and ML Platforms Small and Medium Enterprises (SMEs) , by Region USD Million (2016-2021)
  • Table 3. Data Science and ML Platforms Large Enterprises , by Region USD Million (2016-2021)
  • Table 4. Data Science and ML Platforms: by Platform(USD Million)
  • Table 5. Data Science and ML Platforms Windows , by Region USD Million (2016-2021)
  • Table 6. Data Science and ML Platforms Linux , by Region USD Million (2016-2021)
  • Table 7. Data Science and ML Platforms Others , by Region USD Million (2016-2021)
  • Table 8. Data Science and ML Platforms: by Deployment(USD Million)
  • Table 9. Data Science and ML Platforms Cloud-based , by Region USD Million (2016-2021)
  • Table 10. Data Science and ML Platforms Web-based , by Region USD Million (2016-2021)
  • Table 11. Data Science and ML Platforms Others , by Region USD Million (2016-2021)
  • Table 12. Data Science and ML Platforms: by Verticals(USD Million)
  • Table 13. Data Science and ML Platforms Banking , by Region USD Million (2016-2021)
  • Table 14. Data Science and ML Platforms Pharmaceuticals , by Region USD Million (2016-2021)
  • Table 15. Data Science and ML Platforms Manufacturing , by Region USD Million (2016-2021)
  • Table 16. Data Science and ML Platforms Retail and CPG , by Region USD Million (2016-2021)
  • Table 17. Data Science and ML Platforms Others , by Region USD Million (2016-2021)
  • Table 18. South America Data Science and ML Platforms, by Country USD Million (2016-2021)
  • Table 19. South America Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 20. South America Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 21. South America Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 22. South America Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 23. Brazil Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 24. Brazil Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 25. Brazil Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 26. Brazil Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 27. Argentina Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 28. Argentina Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 29. Argentina Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 30. Argentina Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 31. Rest of South America Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 32. Rest of South America Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 33. Rest of South America Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 34. Rest of South America Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 35. Asia Pacific Data Science and ML Platforms, by Country USD Million (2016-2021)
  • Table 36. Asia Pacific Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 37. Asia Pacific Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 38. Asia Pacific Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 39. Asia Pacific Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 40. China Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 41. China Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 42. China Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 43. China Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 44. Japan Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 45. Japan Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 46. Japan Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 47. Japan Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 48. India Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 49. India Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 50. India Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 51. India Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 52. South Korea Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 53. South Korea Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 54. South Korea Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 55. South Korea Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 56. Australia Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 57. Australia Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 58. Australia Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 59. Australia Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 60. Rest of Asia-Pacific Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 61. Rest of Asia-Pacific Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 62. Rest of Asia-Pacific Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 63. Rest of Asia-Pacific Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 64. Europe Data Science and ML Platforms, by Country USD Million (2016-2021)
  • Table 65. Europe Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 66. Europe Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 67. Europe Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 68. Europe Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 69. Germany Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 70. Germany Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 71. Germany Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 72. Germany Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 73. France Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 74. France Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 75. France Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 76. France Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 77. Italy Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 78. Italy Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 79. Italy Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 80. Italy Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 81. United Kingdom Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 82. United Kingdom Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 83. United Kingdom Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 84. United Kingdom Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 85. Netherlands Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 86. Netherlands Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 87. Netherlands Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 88. Netherlands Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 89. Rest of Europe Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 90. Rest of Europe Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 91. Rest of Europe Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 92. Rest of Europe Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 93. MEA Data Science and ML Platforms, by Country USD Million (2016-2021)
  • Table 94. MEA Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 95. MEA Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 96. MEA Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 97. MEA Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 98. Middle East Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 99. Middle East Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 100. Middle East Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 101. Middle East Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 102. Africa Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 103. Africa Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 104. Africa Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 105. Africa Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 106. North America Data Science and ML Platforms, by Country USD Million (2016-2021)
  • Table 107. North America Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 108. North America Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 109. North America Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 110. North America Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 111. United States Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 112. United States Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 113. United States Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 114. United States Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 115. Canada Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 116. Canada Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 117. Canada Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 118. Canada Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 119. Mexico Data Science and ML Platforms, by Organization Size USD Million (2016-2021)
  • Table 120. Mexico Data Science and ML Platforms, by Platform USD Million (2016-2021)
  • Table 121. Mexico Data Science and ML Platforms, by Deployment USD Million (2016-2021)
  • Table 122. Mexico Data Science and ML Platforms, by Verticals USD Million (2016-2021)
  • Table 123. Company Basic Information, Sales Area and Its Competitors
  • Table 124. Company Basic Information, Sales Area and Its Competitors
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Data Science and ML Platforms: by Organization Size(USD Million)
  • Table 134. Data Science and ML Platforms Small and Medium Enterprises (SMEs) , by Region USD Million (2022-2027)
  • Table 135. Data Science and ML Platforms Large Enterprises , by Region USD Million (2022-2027)
  • Table 136. Data Science and ML Platforms: by Platform(USD Million)
  • Table 137. Data Science and ML Platforms Windows , by Region USD Million (2022-2027)
  • Table 138. Data Science and ML Platforms Linux , by Region USD Million (2022-2027)
  • Table 139. Data Science and ML Platforms Others , by Region USD Million (2022-2027)
  • Table 140. Data Science and ML Platforms: by Deployment(USD Million)
  • Table 141. Data Science and ML Platforms Cloud-based , by Region USD Million (2022-2027)
  • Table 142. Data Science and ML Platforms Web-based , by Region USD Million (2022-2027)
  • Table 143. Data Science and ML Platforms Others , by Region USD Million (2022-2027)
  • Table 144. Data Science and ML Platforms: by Verticals(USD Million)
  • Table 145. Data Science and ML Platforms Banking , by Region USD Million (2022-2027)
  • Table 146. Data Science and ML Platforms Pharmaceuticals , by Region USD Million (2022-2027)
  • Table 147. Data Science and ML Platforms Manufacturing , by Region USD Million (2022-2027)
  • Table 148. Data Science and ML Platforms Retail and CPG , by Region USD Million (2022-2027)
  • Table 149. Data Science and ML Platforms Others , by Region USD Million (2022-2027)
  • Table 150. South America Data Science and ML Platforms, by Country USD Million (2022-2027)
  • Table 151. South America Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 152. South America Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 153. South America Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 154. South America Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 155. Brazil Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 156. Brazil Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 157. Brazil Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 158. Brazil Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 159. Argentina Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 160. Argentina Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 161. Argentina Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 162. Argentina Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 163. Rest of South America Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 164. Rest of South America Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 165. Rest of South America Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 166. Rest of South America Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 167. Asia Pacific Data Science and ML Platforms, by Country USD Million (2022-2027)
  • Table 168. Asia Pacific Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 169. Asia Pacific Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 170. Asia Pacific Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 171. Asia Pacific Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 172. China Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 173. China Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 174. China Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 175. China Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 176. Japan Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 177. Japan Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 178. Japan Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 179. Japan Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 180. India Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 181. India Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 182. India Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 183. India Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 184. South Korea Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 185. South Korea Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 186. South Korea Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 187. South Korea Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 188. Australia Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 189. Australia Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 190. Australia Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 191. Australia Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 192. Rest of Asia-Pacific Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 193. Rest of Asia-Pacific Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 194. Rest of Asia-Pacific Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 195. Rest of Asia-Pacific Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 196. Europe Data Science and ML Platforms, by Country USD Million (2022-2027)
  • Table 197. Europe Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 198. Europe Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 199. Europe Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 200. Europe Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 201. Germany Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 202. Germany Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 203. Germany Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 204. Germany Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 205. France Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 206. France Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 207. France Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 208. France Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 209. Italy Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 210. Italy Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 211. Italy Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 212. Italy Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 213. United Kingdom Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 214. United Kingdom Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 215. United Kingdom Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 216. United Kingdom Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 217. Netherlands Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 218. Netherlands Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 219. Netherlands Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 220. Netherlands Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 221. Rest of Europe Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 222. Rest of Europe Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 223. Rest of Europe Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 224. Rest of Europe Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 225. MEA Data Science and ML Platforms, by Country USD Million (2022-2027)
  • Table 226. MEA Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 227. MEA Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 228. MEA Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 229. MEA Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 230. Middle East Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 231. Middle East Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 232. Middle East Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 233. Middle East Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 234. Africa Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 235. Africa Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 236. Africa Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 237. Africa Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 238. North America Data Science and ML Platforms, by Country USD Million (2022-2027)
  • Table 239. North America Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 240. North America Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 241. North America Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 242. North America Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 243. United States Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 244. United States Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 245. United States Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 246. United States Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 247. Canada Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 248. Canada Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 249. Canada Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 250. Canada Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 251. Mexico Data Science and ML Platforms, by Organization Size USD Million (2022-2027)
  • Table 252. Mexico Data Science and ML Platforms, by Platform USD Million (2022-2027)
  • Table 253. Mexico Data Science and ML Platforms, by Deployment USD Million (2022-2027)
  • Table 254. Mexico Data Science and ML Platforms, by Verticals USD Million (2022-2027)
  • Table 255. Research Programs/Design for This Report
  • Table 256. Key Data Information from Secondary Sources
  • Table 257. 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 ML Platforms: by Organization Size USD Million (2016-2021)
  • Figure 5. Global Data Science and ML Platforms: by Platform USD Million (2016-2021)
  • Figure 6. Global Data Science and ML Platforms: by Deployment USD Million (2016-2021)
  • Figure 7. Global Data Science and ML Platforms: by Verticals USD Million (2016-2021)
  • Figure 8. South America Data Science and ML Platforms Share (%), by Country
  • Figure 9. Asia Pacific Data Science and ML Platforms Share (%), by Country
  • Figure 10. Europe Data Science and ML Platforms Share (%), by Country
  • Figure 11. MEA Data Science and ML Platforms Share (%), by Country
  • Figure 12. North America Data Science and ML Platforms Share (%), by Country
  • Figure 13. Global Data Science and ML Platforms share by Players 2021 (%)
  • Figure 14. Global Data Science and ML Platforms share by Players (Top 3) 2021(%)
  • Figure 15. Global Data Science and ML Platforms share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. MathWorks (United States) Revenue, Net Income and Gross profit
  • Figure 18. MathWorks (United States) Revenue: by Geography 2021
  • Figure 19. Alteryx (United States) Revenue, Net Income and Gross profit
  • Figure 20. Alteryx (United States) Revenue: by Geography 2021
  • Figure 21. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 22. IBM (United States) Revenue: by Geography 2021
  • Figure 23. Dataiku (United States) Revenue, Net Income and Gross profit
  • Figure 24. Dataiku (United States) Revenue: by Geography 2021
  • Figure 25. DataRobot (United States) Revenue, Net Income and Gross profit
  • Figure 26. DataRobot (United States) Revenue: by Geography 2021
  • Figure 27. SAS (United States) Revenue, Net Income and Gross profit
  • Figure 28. SAS (United States) Revenue: by Geography 2021
  • Figure 29. Databricks (United States) Revenue, Net Income and Gross profit
  • Figure 30. Databricks (United States) Revenue: by Geography 2021
  • Figure 31. KNIME (United States) Revenue, Net Income and Gross profit
  • Figure 32. KNIME (United States) Revenue: by Geography 2021
  • Figure 33. Amazon Web Services (AWS) (United States) Revenue, Net Income and Gross profit
  • Figure 34. Amazon Web Services (AWS) (United States) Revenue: by Geography 2021
  • Figure 35. Google (United States) Revenue, Net Income and Gross profit
  • Figure 36. Google (United States) Revenue: by Geography 2021
  • Figure 37. Global Data Science and ML Platforms: by Organization Size USD Million (2022-2027)
  • Figure 38. Global Data Science and ML Platforms: by Platform USD Million (2022-2027)
  • Figure 39. Global Data Science and ML Platforms: by Deployment USD Million (2022-2027)
  • Figure 40. Global Data Science and ML Platforms: by Verticals USD Million (2022-2027)
  • Figure 41. South America Data Science and ML Platforms Share (%), by Country
  • Figure 42. Asia Pacific Data Science and ML Platforms Share (%), by Country
  • Figure 43. Europe Data Science and ML Platforms Share (%), by Country
  • Figure 44. MEA Data Science and ML Platforms Share (%), by Country
  • Figure 45. North America Data Science and ML Platforms Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • MathWorks (United States)
  • Alteryx (United States)
  • IBM (United States)
  • Dataiku (United States)
  • DataRobot (United States)
  • SAS (United States)
  • Databricks (United States)
  • KNIME (United States)
  • Amazon Web Services (AWS) (United States)
  • Google (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