Global Data Science Platform research
Global Data Science Platform research

Data Science Platform Comprehensive Study by Type (Automation Tools, Proprietary or GUI-Driven Data Science Platforms, Code-First Data Science Platforms), Function (Marketing & Sales, Logistics, Finance and Accounting, Customer Support, Others (Operation and HR)), Enterprise Size (Large Enterprises, Small and Medium Enterprises (SMEs)), Deployment Type (On-Premises, Cloud-based), Industry Vertical (Information Technology and Telecom, Healthcare and Life Sciences, Retail, Media & Entertainment, Manufacturing, Transportation and Logistics, Energy and Utilities, Government and Defense, BFSI, Others), Component (Software, Services) Players and Region - Global Market Outlook to 2025

Data Science Platform Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025 | CAGR: 29.5%  

Mar 2020 Edition 217 Pages 167 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Data Science Platform Market Definition
The data science platform is a package of different tools which takes care of the entire data modeling process. Data science platform gives power data scientists to carve out valuable insights from data collected at sources. The data science platform gives an advantage to businesses to make data-driven decisions to maximize their output and enhance customer satisfaction. Moreover, Data science tools create value by mining large amounts of structured and unstructured data to identify patterns that can help an organization to more effectively manage costs and achieve competitive advantage. For example, logistics companies analyze weather conditions, traffic patterns, and other factors to improve delivery speeds and reduce costs. As technology is developing day by day, the data science platform provides better flexibility and scalability by adding the latest data science tools to the inventory.

The market study is broken down by Type (Automation Tools, Proprietary or GUI-Driven Data Science Platforms and Code-First Data Science Platforms) and major geographies with country level splits. According to AMA, the Global Data Science Platform market is expected to see growth rate of 29.5%

Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Data Science Platform market throughout the predicted period.

IBM Corporation (United States), Microsoft Corporation (United States), Alphabet Inc. (Google) (United States), SAP (Germany), SAS Institute Inc. (United States), Alteryx, Inc. (United States), Altair Engineering, Inc. (United States), RapidMiner, Inc. (United States), Cloudera, Inc. (United States) and MathWorks (Australia) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Domino Data Lab, Inc. (United States), RStudio, Inc. (United States), Databricks (United States), Wolfram (United States) and Dataiku (United States).

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

On the basis of geography, the market of Data Science Platform 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). If we see Market by Function, the sub-segment i.e. Marketing & Sales will boost the Data Science Platform market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Enterprise Size, the sub-segment i.e. Large Enterprises will boost the Data Science Platform market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment Type, the sub-segment i.e. On-Premises will boost the Data Science Platform market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Industry Vertical, the sub-segment i.e. Information Technology and Telecom will boost the Data Science Platform market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Software will boost the Data Science Platform market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Leaders and their expansionary development strategies
On February 13, 2020, Alphabet-owned Google has completed its USD 2.6 billion buyouts of privately held big data analytics firm Looker Data Sciences after winning clearance from Britainís competition watchdog.
On February 20, 2020, Oracle has announced the availability of the Oracle Cloud Data Science Platform. This Oracle Cloud Infrastructure Data Science platform will help enterprises to collaboratively build, train, manage and deploy machine learning models to increase the success of data science projects.


Market Trend
  • Integration of Data into the Core Business Processes Has Grown Significantly
  • Rise of automated Data Science and Machine Learning
  • Super-sized Data Science in the Cloud
  • Advances in Quantum Computing

Market Drivers
  • Growing Demand from End-Use Industries owing to Flexible and Collaborative Environments
  • Enable Organizations to Incorporate Data-Driven Decisions into Operational and Customer-Facing Systems
  • Reduction in Redundancy and Stimulates Innovation
  • Increased Efficiency, And Generation of New Revenue Streams

Opportunities
  • Pattern Identification Helps Institutions and Companies Recognize New Market Opportunities
  • High Investment Made by Enterprises owing to Changes in Technology

Restraints
  • Variation in Prices owing to the Deployment Type, Cloud or On-premise
  • Data Privacy and Security, Hidden Security Vulnerabilities

Challenges
  • Shortage of Skilled Workforce Puts Pressure on Tool Developers to Reduce Complexity
  • Less Return on Investment owing to Lack of Integration and Disciplined Central Management Knowledge
  • Moving From On-premise to Cloud-based Model owing to Rising in Cost


Key Target Audience
Independent Software Vendors, Business Analytics Software Providers, IT Service Providers, Cloud Service Providers, System Integrators, Application Design and Software Developers and Others

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.

Customization available in this Study:
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 Type
  • Automation Tools
  • Proprietary or GUI-Driven Data Science Platforms
  • Code-First Data Science Platforms
By Function
  • Marketing & Sales
  • Logistics
  • Finance and Accounting
  • Customer Support
  • Others (Operation and HR)

By Enterprise Size
  • Large Enterprises
  • Small and Medium Enterprises (SMEs)

By Deployment Type
  • On-Premises
  • Cloud-based

By Industry Vertical
  • Information Technology and Telecom
  • Healthcare and Life Sciences
  • Retail
  • Media & Entertainment
  • Manufacturing
  • Transportation and Logistics
  • Energy and Utilities
  • Government and Defense
  • BFSI
  • Others

By Component
  • Software
  • Services

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Growing Demand from End-Use Industries owing to Flexible and Collaborative Environments
      • 3.2.2. Enable Organizations to Incorporate Data-Driven Decisions into Operational and Customer-Facing Systems
      • 3.2.3. Reduction in Redundancy and Stimulates Innovation
      • 3.2.4. Increased Efficiency, And Generation of New Revenue Streams
    • 3.3. Market Challenges
      • 3.3.1. Shortage of Skilled Workforce Puts Pressure on Tool Developers to Reduce Complexity
      • 3.3.2. Less Return on Investment owing to Lack of Integration and Disciplined Central Management Knowledge
      • 3.3.3. Moving From On-premise to Cloud-based Model owing to Rising in Cost
    • 3.4. Market Trends
      • 3.4.1. Integration of Data into the Core Business Processes Has Grown Significantly
      • 3.4.2. Rise of automated Data Science and Machine Learning
      • 3.4.3. Super-sized Data Science in the Cloud
      • 3.4.4. Advances in Quantum Computing
  • 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 Platform, by Type, Function, Enterprise Size, Deployment Type, Industry Vertical, Component and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Data Science Platform (Value)
      • 5.2.1. Global Data Science Platform by: Type (Value)
        • 5.2.1.1. Automation Tools
        • 5.2.1.2. Proprietary or GUI-Driven Data Science Platforms
        • 5.2.1.3. Code-First Data Science Platforms
      • 5.2.2. Global Data Science Platform by: Function (Value)
        • 5.2.2.1. Marketing & Sales
        • 5.2.2.2. Logistics
        • 5.2.2.3. Finance and Accounting
        • 5.2.2.4. Customer Support
        • 5.2.2.5. Others (Operation and HR)
      • 5.2.3. Global Data Science Platform by: Enterprise Size (Value)
        • 5.2.3.1. Large Enterprises
        • 5.2.3.2. Small and Medium Enterprises (SMEs)
      • 5.2.4. Global Data Science Platform by: Deployment Type (Value)
        • 5.2.4.1. On-Premises
        • 5.2.4.2. Cloud-based
      • 5.2.5. Global Data Science Platform by: Industry Vertical (Value)
        • 5.2.5.1. Information Technology and Telecom
        • 5.2.5.2. Healthcare and Life Sciences
        • 5.2.5.3. Retail
        • 5.2.5.4. Media & Entertainment
        • 5.2.5.5. Manufacturing
        • 5.2.5.6. Transportation and Logistics
        • 5.2.5.7. Energy and Utilities
        • 5.2.5.8. Government and Defense
        • 5.2.5.9. BFSI
        • 5.2.5.10. Others
      • 5.2.6. Global Data Science Platform by: Component (Value)
        • 5.2.6.1. Software
        • 5.2.6.2. Services
      • 5.2.7. Global Data Science Platform 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 Platform: 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. IBM Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Alphabet Inc. (Google) (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. SAP (Germany)
        • 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. SAS Institute Inc. (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. Alteryx, Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Altair Engineering, Inc. (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. RapidMiner, Inc. (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. Cloudera, Inc. (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. MathWorks (Australia)
        • 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 Platform Sale, by Type, Function, Enterprise Size, Deployment Type, Industry Vertical, Component and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Data Science Platform (Value)
      • 7.2.1. Global Data Science Platform by: Type (Value)
        • 7.2.1.1. Automation Tools
        • 7.2.1.2. Proprietary or GUI-Driven Data Science Platforms
        • 7.2.1.3. Code-First Data Science Platforms
      • 7.2.2. Global Data Science Platform by: Function (Value)
        • 7.2.2.1. Marketing & Sales
        • 7.2.2.2. Logistics
        • 7.2.2.3. Finance and Accounting
        • 7.2.2.4. Customer Support
        • 7.2.2.5. Others (Operation and HR)
      • 7.2.3. Global Data Science Platform by: Enterprise Size (Value)
        • 7.2.3.1. Large Enterprises
        • 7.2.3.2. Small and Medium Enterprises (SMEs)
      • 7.2.4. Global Data Science Platform by: Deployment Type (Value)
        • 7.2.4.1. On-Premises
        • 7.2.4.2. Cloud-based
      • 7.2.5. Global Data Science Platform by: Industry Vertical (Value)
        • 7.2.5.1. Information Technology and Telecom
        • 7.2.5.2. Healthcare and Life Sciences
        • 7.2.5.3. Retail
        • 7.2.5.4. Media & Entertainment
        • 7.2.5.5. Manufacturing
        • 7.2.5.6. Transportation and Logistics
        • 7.2.5.7. Energy and Utilities
        • 7.2.5.8. Government and Defense
        • 7.2.5.9. BFSI
        • 7.2.5.10. Others
      • 7.2.6. Global Data Science Platform by: Component (Value)
        • 7.2.6.1. Software
        • 7.2.6.2. Services
      • 7.2.7. Global Data Science Platform 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 Platform: by Type(USD Million)
  • Table 2. Data Science Platform Automation Tools , by Region USD Million (2014-2019)
  • Table 3. Data Science Platform Proprietary or GUI-Driven Data Science Platforms , by Region USD Million (2014-2019)
  • Table 4. Data Science Platform Code-First Data Science Platforms , by Region USD Million (2014-2019)
  • Table 5. Data Science Platform: by Function(USD Million)
  • Table 6. Data Science Platform Marketing & Sales , by Region USD Million (2014-2019)
  • Table 7. Data Science Platform Logistics , by Region USD Million (2014-2019)
  • Table 8. Data Science Platform Finance and Accounting , by Region USD Million (2014-2019)
  • Table 9. Data Science Platform Customer Support , by Region USD Million (2014-2019)
  • Table 10. Data Science Platform Others (Operation and HR) , by Region USD Million (2014-2019)
  • Table 11. Data Science Platform: by Enterprise Size(USD Million)
  • Table 12. Data Science Platform Large Enterprises , by Region USD Million (2014-2019)
  • Table 13. Data Science Platform Small and Medium Enterprises (SMEs) , by Region USD Million (2014-2019)
  • Table 14. Data Science Platform: by Deployment Type(USD Million)
  • Table 15. Data Science Platform On-Premises , by Region USD Million (2014-2019)
  • Table 16. Data Science Platform Cloud-based , by Region USD Million (2014-2019)
  • Table 17. Data Science Platform: by Industry Vertical(USD Million)
  • Table 18. Data Science Platform Information Technology and Telecom , by Region USD Million (2014-2019)
  • Table 19. Data Science Platform Healthcare and Life Sciences , by Region USD Million (2014-2019)
  • Table 20. Data Science Platform Retail , by Region USD Million (2014-2019)
  • Table 21. Data Science Platform Media & Entertainment , by Region USD Million (2014-2019)
  • Table 22. Data Science Platform Manufacturing , by Region USD Million (2014-2019)
  • Table 23. Data Science Platform Transportation and Logistics , by Region USD Million (2014-2019)
  • Table 24. Data Science Platform Energy and Utilities , by Region USD Million (2014-2019)
  • Table 25. Data Science Platform Government and Defense , by Region USD Million (2014-2019)
  • Table 26. Data Science Platform BFSI , by Region USD Million (2014-2019)
  • Table 27. Data Science Platform Others , by Region USD Million (2014-2019)
  • Table 28. Data Science Platform: by Component(USD Million)
  • Table 29. Data Science Platform Software , by Region USD Million (2014-2019)
  • Table 30. Data Science Platform Services , by Region USD Million (2014-2019)
  • Table 31. South America Data Science Platform, by Country USD Million (2014-2019)
  • Table 32. South America Data Science Platform, by Type USD Million (2014-2019)
  • Table 33. South America Data Science Platform, by Function USD Million (2014-2019)
  • Table 34. South America Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 35. South America Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 36. South America Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 37. South America Data Science Platform, by Component USD Million (2014-2019)
  • Table 38. Brazil Data Science Platform, by Type USD Million (2014-2019)
  • Table 39. Brazil Data Science Platform, by Function USD Million (2014-2019)
  • Table 40. Brazil Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 41. Brazil Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 42. Brazil Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 43. Brazil Data Science Platform, by Component USD Million (2014-2019)
  • Table 44. Argentina Data Science Platform, by Type USD Million (2014-2019)
  • Table 45. Argentina Data Science Platform, by Function USD Million (2014-2019)
  • Table 46. Argentina Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 47. Argentina Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 48. Argentina Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 49. Argentina Data Science Platform, by Component USD Million (2014-2019)
  • Table 50. Rest of South America Data Science Platform, by Type USD Million (2014-2019)
  • Table 51. Rest of South America Data Science Platform, by Function USD Million (2014-2019)
  • Table 52. Rest of South America Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 53. Rest of South America Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 54. Rest of South America Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 55. Rest of South America Data Science Platform, by Component USD Million (2014-2019)
  • Table 56. Asia Pacific Data Science Platform, by Country USD Million (2014-2019)
  • Table 57. Asia Pacific Data Science Platform, by Type USD Million (2014-2019)
  • Table 58. Asia Pacific Data Science Platform, by Function USD Million (2014-2019)
  • Table 59. Asia Pacific Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 60. Asia Pacific Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 61. Asia Pacific Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 62. Asia Pacific Data Science Platform, by Component USD Million (2014-2019)
  • Table 63. China Data Science Platform, by Type USD Million (2014-2019)
  • Table 64. China Data Science Platform, by Function USD Million (2014-2019)
  • Table 65. China Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 66. China Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 67. China Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 68. China Data Science Platform, by Component USD Million (2014-2019)
  • Table 69. Japan Data Science Platform, by Type USD Million (2014-2019)
  • Table 70. Japan Data Science Platform, by Function USD Million (2014-2019)
  • Table 71. Japan Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 72. Japan Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 73. Japan Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 74. Japan Data Science Platform, by Component USD Million (2014-2019)
  • Table 75. India Data Science Platform, by Type USD Million (2014-2019)
  • Table 76. India Data Science Platform, by Function USD Million (2014-2019)
  • Table 77. India Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 78. India Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 79. India Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 80. India Data Science Platform, by Component USD Million (2014-2019)
  • Table 81. South Korea Data Science Platform, by Type USD Million (2014-2019)
  • Table 82. South Korea Data Science Platform, by Function USD Million (2014-2019)
  • Table 83. South Korea Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 84. South Korea Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 85. South Korea Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 86. South Korea Data Science Platform, by Component USD Million (2014-2019)
  • Table 87. Taiwan Data Science Platform, by Type USD Million (2014-2019)
  • Table 88. Taiwan Data Science Platform, by Function USD Million (2014-2019)
  • Table 89. Taiwan Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 90. Taiwan Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 91. Taiwan Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 92. Taiwan Data Science Platform, by Component USD Million (2014-2019)
  • Table 93. Australia Data Science Platform, by Type USD Million (2014-2019)
  • Table 94. Australia Data Science Platform, by Function USD Million (2014-2019)
  • Table 95. Australia Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 96. Australia Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 97. Australia Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 98. Australia Data Science Platform, by Component USD Million (2014-2019)
  • Table 99. Rest of Asia-Pacific Data Science Platform, by Type USD Million (2014-2019)
  • Table 100. Rest of Asia-Pacific Data Science Platform, by Function USD Million (2014-2019)
  • Table 101. Rest of Asia-Pacific Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 102. Rest of Asia-Pacific Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 103. Rest of Asia-Pacific Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 104. Rest of Asia-Pacific Data Science Platform, by Component USD Million (2014-2019)
  • Table 105. Europe Data Science Platform, by Country USD Million (2014-2019)
  • Table 106. Europe Data Science Platform, by Type USD Million (2014-2019)
  • Table 107. Europe Data Science Platform, by Function USD Million (2014-2019)
  • Table 108. Europe Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 109. Europe Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 110. Europe Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 111. Europe Data Science Platform, by Component USD Million (2014-2019)
  • Table 112. Germany Data Science Platform, by Type USD Million (2014-2019)
  • Table 113. Germany Data Science Platform, by Function USD Million (2014-2019)
  • Table 114. Germany Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 115. Germany Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 116. Germany Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 117. Germany Data Science Platform, by Component USD Million (2014-2019)
  • Table 118. France Data Science Platform, by Type USD Million (2014-2019)
  • Table 119. France Data Science Platform, by Function USD Million (2014-2019)
  • Table 120. France Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 121. France Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 122. France Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 123. France Data Science Platform, by Component USD Million (2014-2019)
  • Table 124. Italy Data Science Platform, by Type USD Million (2014-2019)
  • Table 125. Italy Data Science Platform, by Function USD Million (2014-2019)
  • Table 126. Italy Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 127. Italy Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 128. Italy Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 129. Italy Data Science Platform, by Component USD Million (2014-2019)
  • Table 130. United Kingdom Data Science Platform, by Type USD Million (2014-2019)
  • Table 131. United Kingdom Data Science Platform, by Function USD Million (2014-2019)
  • Table 132. United Kingdom Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 133. United Kingdom Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 134. United Kingdom Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 135. United Kingdom Data Science Platform, by Component USD Million (2014-2019)
  • Table 136. Netherlands Data Science Platform, by Type USD Million (2014-2019)
  • Table 137. Netherlands Data Science Platform, by Function USD Million (2014-2019)
  • Table 138. Netherlands Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 139. Netherlands Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 140. Netherlands Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 141. Netherlands Data Science Platform, by Component USD Million (2014-2019)
  • Table 142. Rest of Europe Data Science Platform, by Type USD Million (2014-2019)
  • Table 143. Rest of Europe Data Science Platform, by Function USD Million (2014-2019)
  • Table 144. Rest of Europe Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 145. Rest of Europe Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 146. Rest of Europe Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 147. Rest of Europe Data Science Platform, by Component USD Million (2014-2019)
  • Table 148. MEA Data Science Platform, by Country USD Million (2014-2019)
  • Table 149. MEA Data Science Platform, by Type USD Million (2014-2019)
  • Table 150. MEA Data Science Platform, by Function USD Million (2014-2019)
  • Table 151. MEA Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 152. MEA Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 153. MEA Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 154. MEA Data Science Platform, by Component USD Million (2014-2019)
  • Table 155. Middle East Data Science Platform, by Type USD Million (2014-2019)
  • Table 156. Middle East Data Science Platform, by Function USD Million (2014-2019)
  • Table 157. Middle East Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 158. Middle East Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 159. Middle East Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 160. Middle East Data Science Platform, by Component USD Million (2014-2019)
  • Table 161. Africa Data Science Platform, by Type USD Million (2014-2019)
  • Table 162. Africa Data Science Platform, by Function USD Million (2014-2019)
  • Table 163. Africa Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 164. Africa Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 165. Africa Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 166. Africa Data Science Platform, by Component USD Million (2014-2019)
  • Table 167. North America Data Science Platform, by Country USD Million (2014-2019)
  • Table 168. North America Data Science Platform, by Type USD Million (2014-2019)
  • Table 169. North America Data Science Platform, by Function USD Million (2014-2019)
  • Table 170. North America Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 171. North America Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 172. North America Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 173. North America Data Science Platform, by Component USD Million (2014-2019)
  • Table 174. United States Data Science Platform, by Type USD Million (2014-2019)
  • Table 175. United States Data Science Platform, by Function USD Million (2014-2019)
  • Table 176. United States Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 177. United States Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 178. United States Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 179. United States Data Science Platform, by Component USD Million (2014-2019)
  • Table 180. Canada Data Science Platform, by Type USD Million (2014-2019)
  • Table 181. Canada Data Science Platform, by Function USD Million (2014-2019)
  • Table 182. Canada Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 183. Canada Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 184. Canada Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 185. Canada Data Science Platform, by Component USD Million (2014-2019)
  • Table 186. Mexico Data Science Platform, by Type USD Million (2014-2019)
  • Table 187. Mexico Data Science Platform, by Function USD Million (2014-2019)
  • Table 188. Mexico Data Science Platform, by Enterprise Size USD Million (2014-2019)
  • Table 189. Mexico Data Science Platform, by Deployment Type USD Million (2014-2019)
  • Table 190. Mexico Data Science Platform, by Industry Vertical USD Million (2014-2019)
  • Table 191. Mexico Data Science Platform, by Component USD Million (2014-2019)
  • Table 192. Company Basic Information, Sales Area and Its Competitors
  • Table 193. Company Basic Information, Sales Area and Its Competitors
  • Table 194. Company Basic Information, Sales Area and Its Competitors
  • Table 195. Company Basic Information, Sales Area and Its Competitors
  • Table 196. Company Basic Information, Sales Area and Its Competitors
  • Table 197. Company Basic Information, Sales Area and Its Competitors
  • Table 198. Company Basic Information, Sales Area and Its Competitors
  • Table 199. Company Basic Information, Sales Area and Its Competitors
  • Table 200. Company Basic Information, Sales Area and Its Competitors
  • Table 201. Company Basic Information, Sales Area and Its Competitors
  • Table 202. Data Science Platform: by Type(USD Million)
  • Table 203. Data Science Platform Automation Tools , by Region USD Million (2020-2025)
  • Table 204. Data Science Platform Proprietary or GUI-Driven Data Science Platforms , by Region USD Million (2020-2025)
  • Table 205. Data Science Platform Code-First Data Science Platforms , by Region USD Million (2020-2025)
  • Table 206. Data Science Platform: by Function(USD Million)
  • Table 207. Data Science Platform Marketing & Sales , by Region USD Million (2020-2025)
  • Table 208. Data Science Platform Logistics , by Region USD Million (2020-2025)
  • Table 209. Data Science Platform Finance and Accounting , by Region USD Million (2020-2025)
  • Table 210. Data Science Platform Customer Support , by Region USD Million (2020-2025)
  • Table 211. Data Science Platform Others (Operation and HR) , by Region USD Million (2020-2025)
  • Table 212. Data Science Platform: by Enterprise Size(USD Million)
  • Table 213. Data Science Platform Large Enterprises , by Region USD Million (2020-2025)
  • Table 214. Data Science Platform Small and Medium Enterprises (SMEs) , by Region USD Million (2020-2025)
  • Table 215. Data Science Platform: by Deployment Type(USD Million)
  • Table 216. Data Science Platform On-Premises , by Region USD Million (2020-2025)
  • Table 217. Data Science Platform Cloud-based , by Region USD Million (2020-2025)
  • Table 218. Data Science Platform: by Industry Vertical(USD Million)
  • Table 219. Data Science Platform Information Technology and Telecom , by Region USD Million (2020-2025)
  • Table 220. Data Science Platform Healthcare and Life Sciences , by Region USD Million (2020-2025)
  • Table 221. Data Science Platform Retail , by Region USD Million (2020-2025)
  • Table 222. Data Science Platform Media & Entertainment , by Region USD Million (2020-2025)
  • Table 223. Data Science Platform Manufacturing , by Region USD Million (2020-2025)
  • Table 224. Data Science Platform Transportation and Logistics , by Region USD Million (2020-2025)
  • Table 225. Data Science Platform Energy and Utilities , by Region USD Million (2020-2025)
  • Table 226. Data Science Platform Government and Defense , by Region USD Million (2020-2025)
  • Table 227. Data Science Platform BFSI , by Region USD Million (2020-2025)
  • Table 228. Data Science Platform Others , by Region USD Million (2020-2025)
  • Table 229. Data Science Platform: by Component(USD Million)
  • Table 230. Data Science Platform Software , by Region USD Million (2020-2025)
  • Table 231. Data Science Platform Services , by Region USD Million (2020-2025)
  • Table 232. South America Data Science Platform, by Country USD Million (2020-2025)
  • Table 233. South America Data Science Platform, by Type USD Million (2020-2025)
  • Table 234. South America Data Science Platform, by Function USD Million (2020-2025)
  • Table 235. South America Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 236. South America Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 237. South America Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 238. South America Data Science Platform, by Component USD Million (2020-2025)
  • Table 239. Brazil Data Science Platform, by Type USD Million (2020-2025)
  • Table 240. Brazil Data Science Platform, by Function USD Million (2020-2025)
  • Table 241. Brazil Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 242. Brazil Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 243. Brazil Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 244. Brazil Data Science Platform, by Component USD Million (2020-2025)
  • Table 245. Argentina Data Science Platform, by Type USD Million (2020-2025)
  • Table 246. Argentina Data Science Platform, by Function USD Million (2020-2025)
  • Table 247. Argentina Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 248. Argentina Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 249. Argentina Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 250. Argentina Data Science Platform, by Component USD Million (2020-2025)
  • Table 251. Rest of South America Data Science Platform, by Type USD Million (2020-2025)
  • Table 252. Rest of South America Data Science Platform, by Function USD Million (2020-2025)
  • Table 253. Rest of South America Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 254. Rest of South America Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 255. Rest of South America Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 256. Rest of South America Data Science Platform, by Component USD Million (2020-2025)
  • Table 257. Asia Pacific Data Science Platform, by Country USD Million (2020-2025)
  • Table 258. Asia Pacific Data Science Platform, by Type USD Million (2020-2025)
  • Table 259. Asia Pacific Data Science Platform, by Function USD Million (2020-2025)
  • Table 260. Asia Pacific Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 261. Asia Pacific Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 262. Asia Pacific Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 263. Asia Pacific Data Science Platform, by Component USD Million (2020-2025)
  • Table 264. China Data Science Platform, by Type USD Million (2020-2025)
  • Table 265. China Data Science Platform, by Function USD Million (2020-2025)
  • Table 266. China Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 267. China Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 268. China Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 269. China Data Science Platform, by Component USD Million (2020-2025)
  • Table 270. Japan Data Science Platform, by Type USD Million (2020-2025)
  • Table 271. Japan Data Science Platform, by Function USD Million (2020-2025)
  • Table 272. Japan Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 273. Japan Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 274. Japan Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 275. Japan Data Science Platform, by Component USD Million (2020-2025)
  • Table 276. India Data Science Platform, by Type USD Million (2020-2025)
  • Table 277. India Data Science Platform, by Function USD Million (2020-2025)
  • Table 278. India Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 279. India Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 280. India Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 281. India Data Science Platform, by Component USD Million (2020-2025)
  • Table 282. South Korea Data Science Platform, by Type USD Million (2020-2025)
  • Table 283. South Korea Data Science Platform, by Function USD Million (2020-2025)
  • Table 284. South Korea Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 285. South Korea Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 286. South Korea Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 287. South Korea Data Science Platform, by Component USD Million (2020-2025)
  • Table 288. Taiwan Data Science Platform, by Type USD Million (2020-2025)
  • Table 289. Taiwan Data Science Platform, by Function USD Million (2020-2025)
  • Table 290. Taiwan Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 291. Taiwan Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 292. Taiwan Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 293. Taiwan Data Science Platform, by Component USD Million (2020-2025)
  • Table 294. Australia Data Science Platform, by Type USD Million (2020-2025)
  • Table 295. Australia Data Science Platform, by Function USD Million (2020-2025)
  • Table 296. Australia Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 297. Australia Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 298. Australia Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 299. Australia Data Science Platform, by Component USD Million (2020-2025)
  • Table 300. Rest of Asia-Pacific Data Science Platform, by Type USD Million (2020-2025)
  • Table 301. Rest of Asia-Pacific Data Science Platform, by Function USD Million (2020-2025)
  • Table 302. Rest of Asia-Pacific Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 303. Rest of Asia-Pacific Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 304. Rest of Asia-Pacific Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 305. Rest of Asia-Pacific Data Science Platform, by Component USD Million (2020-2025)
  • Table 306. Europe Data Science Platform, by Country USD Million (2020-2025)
  • Table 307. Europe Data Science Platform, by Type USD Million (2020-2025)
  • Table 308. Europe Data Science Platform, by Function USD Million (2020-2025)
  • Table 309. Europe Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 310. Europe Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 311. Europe Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 312. Europe Data Science Platform, by Component USD Million (2020-2025)
  • Table 313. Germany Data Science Platform, by Type USD Million (2020-2025)
  • Table 314. Germany Data Science Platform, by Function USD Million (2020-2025)
  • Table 315. Germany Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 316. Germany Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 317. Germany Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 318. Germany Data Science Platform, by Component USD Million (2020-2025)
  • Table 319. France Data Science Platform, by Type USD Million (2020-2025)
  • Table 320. France Data Science Platform, by Function USD Million (2020-2025)
  • Table 321. France Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 322. France Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 323. France Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 324. France Data Science Platform, by Component USD Million (2020-2025)
  • Table 325. Italy Data Science Platform, by Type USD Million (2020-2025)
  • Table 326. Italy Data Science Platform, by Function USD Million (2020-2025)
  • Table 327. Italy Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 328. Italy Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 329. Italy Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 330. Italy Data Science Platform, by Component USD Million (2020-2025)
  • Table 331. United Kingdom Data Science Platform, by Type USD Million (2020-2025)
  • Table 332. United Kingdom Data Science Platform, by Function USD Million (2020-2025)
  • Table 333. United Kingdom Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 334. United Kingdom Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 335. United Kingdom Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 336. United Kingdom Data Science Platform, by Component USD Million (2020-2025)
  • Table 337. Netherlands Data Science Platform, by Type USD Million (2020-2025)
  • Table 338. Netherlands Data Science Platform, by Function USD Million (2020-2025)
  • Table 339. Netherlands Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 340. Netherlands Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 341. Netherlands Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 342. Netherlands Data Science Platform, by Component USD Million (2020-2025)
  • Table 343. Rest of Europe Data Science Platform, by Type USD Million (2020-2025)
  • Table 344. Rest of Europe Data Science Platform, by Function USD Million (2020-2025)
  • Table 345. Rest of Europe Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 346. Rest of Europe Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 347. Rest of Europe Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 348. Rest of Europe Data Science Platform, by Component USD Million (2020-2025)
  • Table 349. MEA Data Science Platform, by Country USD Million (2020-2025)
  • Table 350. MEA Data Science Platform, by Type USD Million (2020-2025)
  • Table 351. MEA Data Science Platform, by Function USD Million (2020-2025)
  • Table 352. MEA Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 353. MEA Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 354. MEA Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 355. MEA Data Science Platform, by Component USD Million (2020-2025)
  • Table 356. Middle East Data Science Platform, by Type USD Million (2020-2025)
  • Table 357. Middle East Data Science Platform, by Function USD Million (2020-2025)
  • Table 358. Middle East Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 359. Middle East Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 360. Middle East Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 361. Middle East Data Science Platform, by Component USD Million (2020-2025)
  • Table 362. Africa Data Science Platform, by Type USD Million (2020-2025)
  • Table 363. Africa Data Science Platform, by Function USD Million (2020-2025)
  • Table 364. Africa Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 365. Africa Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 366. Africa Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 367. Africa Data Science Platform, by Component USD Million (2020-2025)
  • Table 368. North America Data Science Platform, by Country USD Million (2020-2025)
  • Table 369. North America Data Science Platform, by Type USD Million (2020-2025)
  • Table 370. North America Data Science Platform, by Function USD Million (2020-2025)
  • Table 371. North America Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 372. North America Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 373. North America Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 374. North America Data Science Platform, by Component USD Million (2020-2025)
  • Table 375. United States Data Science Platform, by Type USD Million (2020-2025)
  • Table 376. United States Data Science Platform, by Function USD Million (2020-2025)
  • Table 377. United States Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 378. United States Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 379. United States Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 380. United States Data Science Platform, by Component USD Million (2020-2025)
  • Table 381. Canada Data Science Platform, by Type USD Million (2020-2025)
  • Table 382. Canada Data Science Platform, by Function USD Million (2020-2025)
  • Table 383. Canada Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 384. Canada Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 385. Canada Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 386. Canada Data Science Platform, by Component USD Million (2020-2025)
  • Table 387. Mexico Data Science Platform, by Type USD Million (2020-2025)
  • Table 388. Mexico Data Science Platform, by Function USD Million (2020-2025)
  • Table 389. Mexico Data Science Platform, by Enterprise Size USD Million (2020-2025)
  • Table 390. Mexico Data Science Platform, by Deployment Type USD Million (2020-2025)
  • Table 391. Mexico Data Science Platform, by Industry Vertical USD Million (2020-2025)
  • Table 392. Mexico Data Science Platform, by Component USD Million (2020-2025)
  • Table 393. Research Programs/Design for This Report
  • Table 394. Key Data Information from Secondary Sources
  • Table 395. 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 Platform: by Type USD Million (2014-2019)
  • Figure 5. Global Data Science Platform: by Function USD Million (2014-2019)
  • Figure 6. Global Data Science Platform: by Enterprise Size USD Million (2014-2019)
  • Figure 7. Global Data Science Platform: by Deployment Type USD Million (2014-2019)
  • Figure 8. Global Data Science Platform: by Industry Vertical USD Million (2014-2019)
  • Figure 9. Global Data Science Platform: by Component USD Million (2014-2019)
  • Figure 10. South America Data Science Platform Share (%), by Country
  • Figure 11. Asia Pacific Data Science Platform Share (%), by Country
  • Figure 12. Europe Data Science Platform Share (%), by Country
  • Figure 13. MEA Data Science Platform Share (%), by Country
  • Figure 14. North America Data Science Platform Share (%), by Country
  • Figure 15. Global Data Science Platform share by Players 2019 (%)
  • Figure 16. Global Data Science Platform share by Players (Top 3) 2019(%)
  • Figure 17. Global Data Science Platform share by Players (Top 5) 2019(%)
  • Figure 18. BCG Matrix for key Companies
  • Figure 19. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM Corporation (United States) Revenue: by Geography 2019
  • Figure 21. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. Microsoft Corporation (United States) Revenue: by Geography 2019
  • Figure 23. Alphabet Inc. (Google) (United States) Revenue, Net Income and Gross profit
  • Figure 24. Alphabet Inc. (Google) (United States) Revenue: by Geography 2019
  • Figure 25. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 26. SAP (Germany) Revenue: by Geography 2019
  • Figure 27. SAS Institute Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. SAS Institute Inc. (United States) Revenue: by Geography 2019
  • Figure 29. Alteryx, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 30. Alteryx, Inc. (United States) Revenue: by Geography 2019
  • Figure 31. Altair Engineering, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 32. Altair Engineering, Inc. (United States) Revenue: by Geography 2019
  • Figure 33. RapidMiner, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. RapidMiner, Inc. (United States) Revenue: by Geography 2019
  • Figure 35. Cloudera, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 36. Cloudera, Inc. (United States) Revenue: by Geography 2019
  • Figure 37. MathWorks (Australia) Revenue, Net Income and Gross profit
  • Figure 38. MathWorks (Australia) Revenue: by Geography 2019
  • Figure 39. Global Data Science Platform: by Type USD Million (2020-2025)
  • Figure 40. Global Data Science Platform: by Function USD Million (2020-2025)
  • Figure 41. Global Data Science Platform: by Enterprise Size USD Million (2020-2025)
  • Figure 42. Global Data Science Platform: by Deployment Type USD Million (2020-2025)
  • Figure 43. Global Data Science Platform: by Industry Vertical USD Million (2020-2025)
  • Figure 44. Global Data Science Platform: by Component USD Million (2020-2025)
  • Figure 45. South America Data Science Platform Share (%), by Country
  • Figure 46. Asia Pacific Data Science Platform Share (%), by Country
  • Figure 47. Europe Data Science Platform Share (%), by Country
  • Figure 48. MEA Data Science Platform Share (%), by Country
  • Figure 49. North America Data Science Platform Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • IBM Corporation (United States)
  • Microsoft Corporation (United States)
  • Alphabet Inc. (Google) (United States)
  • SAP (Germany)
  • SAS Institute Inc. (United States)
  • Alteryx, Inc. (United States)
  • Altair Engineering, Inc. (United States)
  • RapidMiner, Inc. (United States)
  • Cloudera, Inc. (United States)
  • MathWorks (Australia)
Additional players considered in the study are as follows:
Domino Data Lab, Inc. (United States) , RStudio, Inc. (United States) , Databricks (United States) , Wolfram (United States) , Dataiku (United States)
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