Global Data Science and ML Platforms Market 2022 by Company, Regions, Type and Application, Forecast to 2028 - Market Study Report

Global Data Science and ML Platforms Market 2022 by Company, Regions, Type and Application, Forecast to 2028

Report Format: PDF | Report ID: 5381202 | Published Date: July 24, 2022

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The Data Science and ML Platforms market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
According to our (Global Info Research) latest study, due to COVID-19 pandemic, the global Data Science and ML Platforms market size is estimated to be worth US$  million in 2021 and is forecast to a readjusted size of USD  million by 2028 with a CAGR of  % during review period. Small and Medium Enterprises (SMEs) accounting for  % of the Data Science and ML Platforms global market in 2021, is projected to value USD  million by 2028, growing at a  % CAGR in next six years. While Cloud-based segment is altered to a  % CAGR between 2022 and 2028.
Global key companies of Data Science and ML Platforms include Palantier, MathWorks, Alteryx, SAS, and Databricks, etc. In terms of revenue, the global top four players hold a share over  % in 2021.
Market segmentation
Data Science and ML Platforms market is split by Type and by Application. For the period 2017-2028, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type, covers

    Cloud-based
    On-premises

Market segment by Application, can be divided into

    Small and Medium Enterprises (SMEs)
    Large Enterprises

Market segment by players, this report covers

    Palantier
    MathWorks
    Alteryx
    SAS
    Databricks
    TIBCO Software
    Dataiku
    H2O.ai
    IBM
    Microsoft
    Google
    KNIME
    DataRobot
    RapidMiner
    Anaconda
    Domino
    Altair

Market segment by regions, regional analysis covers

    North America (United States, Canada, and Mexico)
    Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
    Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia, and Rest of Asia-Pacific)
    South America (Brazil, Argentina, Rest of South America)
    Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 12 chapters:
Chapter 1, to describe Data Science and ML Platforms product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of Data Science and ML Platforms, with revenue, gross margin and global market share of Data Science and ML Platforms from 2019 to 2022.
Chapter 3, the Data Science and ML Platforms competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2017 to 2028.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2017 to 2022.and Data Science and ML Platforms market forecast, by regions, type and application, with revenue, from 2023 to 2028.
Chapter 11 and 12, to describe Data Science and ML Platforms research findings and conclusion, appendix and data source.
1 Market Overview
    1.1 Product Overview and Scope of Data Science and ML Platforms
    1.2 Classification of Data Science and ML Platforms by Type
        1.2.1 Overview: Global Data Science and ML Platforms Market Size by Type: 2017 Versus 2021 Versus 2028
        1.2.2 Global Data Science and ML Platforms Revenue Market Share by Type in 2021
        1.2.3 Cloud-based
        1.2.4 On-premises
    1.3 Global Data Science and ML Platforms Market by Application
        1.3.1 Overview: Global Data Science and ML Platforms Market Size by Application: 2017 Versus 2021 Versus 2028
        1.3.2 Small and Medium Enterprises (SMEs)
        1.3.3 Large Enterprises
    1.4 Global Data Science and ML Platforms Market Size & Forecast
    1.5 Global Data Science and ML Platforms Market Size and Forecast by Region
        1.5.1 Global Data Science and ML Platforms Market Size by Region: 2017 VS 2021 VS 2028
        1.5.2 Global Data Science and ML Platforms Market Size by Region, (2017-2022)
        1.5.3 North America Data Science and ML Platforms Market Size and Prospect (2017-2028)
        1.5.4 Europe Data Science and ML Platforms Market Size and Prospect (2017-2028)
        1.5.5 Asia-Pacific Data Science and ML Platforms Market Size and Prospect (2017-2028)
        1.5.6 South America Data Science and ML Platforms Market Size and Prospect (2017-2028)
        1.5.7 Middle East and Africa Data Science and ML Platforms Market Size and Prospect (2017-2028)
    1.6 Market Drivers, Restraints and Trends
        1.6.1 Data Science and ML Platforms Market Drivers
        1.6.2 Data Science and ML Platforms Market Restraints
        1.6.3 Data Science and ML Platforms Trends Analysis
2 Company Profiles
    2.1 Palantier
        2.1.1 Palantier Details
        2.1.2 Palantier Major Business
        2.1.3 Palantier Data Science and ML Platforms Product and Solutions
        2.1.4 Palantier Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.1.5 Palantier Recent Developments and Future Plans
    2.2 MathWorks
        2.2.1 MathWorks Details
        2.2.2 MathWorks Major Business
        2.2.3 MathWorks Data Science and ML Platforms Product and Solutions
        2.2.4 MathWorks Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.2.5 MathWorks Recent Developments and Future Plans
    2.3 Alteryx
        2.3.1 Alteryx Details
        2.3.2 Alteryx Major Business
        2.3.3 Alteryx Data Science and ML Platforms Product and Solutions
        2.3.4 Alteryx Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.3.5 Alteryx Recent Developments and Future Plans
    2.4 SAS
        2.4.1 SAS Details
        2.4.2 SAS Major Business
        2.4.3 SAS Data Science and ML Platforms Product and Solutions
        2.4.4 SAS Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.4.5 SAS Recent Developments and Future Plans
    2.5 Databricks
        2.5.1 Databricks Details
        2.5.2 Databricks Major Business
        2.5.3 Databricks Data Science and ML Platforms Product and Solutions
        2.5.4 Databricks Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.5.5 Databricks Recent Developments and Future Plans
    2.6 TIBCO Software
        2.6.1 TIBCO Software Details
        2.6.2 TIBCO Software Major Business
        2.6.3 TIBCO Software Data Science and ML Platforms Product and Solutions
        2.6.4 TIBCO Software Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.6.5 TIBCO Software Recent Developments and Future Plans
    2.7 Dataiku
        2.7.1 Dataiku Details
        2.7.2 Dataiku Major Business
        2.7.3 Dataiku Data Science and ML Platforms Product and Solutions
        2.7.4 Dataiku Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.7.5 Dataiku Recent Developments and Future Plans
    2.8 H2O.ai
        2.8.1 H2O.ai Details
        2.8.2 H2O.ai Major Business
        2.8.3 H2O.ai Data Science and ML Platforms Product and Solutions
        2.8.4 H2O.ai Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.8.5 H2O.ai Recent Developments and Future Plans
    2.9 IBM
        2.9.1 IBM Details
        2.9.2 IBM Major Business
        2.9.3 IBM Data Science and ML Platforms Product and Solutions
        2.9.4 IBM Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.9.5 IBM Recent Developments and Future Plans
    2.10 Microsoft 
        2.10.1 Microsoft Details
        2.10.2 Microsoft Major Business
        2.10.3 Microsoft Data Science and ML Platforms Product and Solutions
        2.10.4 Microsoft Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.10.5 Microsoft Recent Developments and Future Plans
    2.11 Google
        2.11.1 Google Details
        2.11.2 Google Major Business
        2.11.3 Google Data Science and ML Platforms Product and Solutions
        2.11.4 Google Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.11.5 Google Recent Developments and Future Plans
    2.12 KNIME
        2.12.1 KNIME Details
        2.12.2 KNIME Major Business
        2.12.3 KNIME Data Science and ML Platforms Product and Solutions
        2.12.4 KNIME Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.12.5 KNIME Recent Developments and Future Plans
    2.13 DataRobot
        2.13.1 DataRobot Details
        2.13.2 DataRobot Major Business
        2.13.3 DataRobot Data Science and ML Platforms Product and Solutions
        2.13.4 DataRobot Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.13.5 DataRobot Recent Developments and Future Plans
    2.14 RapidMiner
        2.14.1 RapidMiner Details
        2.14.2 RapidMiner Major Business
        2.14.3 RapidMiner Data Science and ML Platforms Product and Solutions
        2.14.4 RapidMiner Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.14.5 RapidMiner Recent Developments and Future Plans
    2.15 Anaconda
        2.15.1 Anaconda Details
        2.15.2 Anaconda Major Business
        2.15.3 Anaconda Data Science and ML Platforms Product and Solutions
        2.15.4 Anaconda Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.15.5 Anaconda Recent Developments and Future Plans
    2.16 Domino
        2.16.1 Domino Details
        2.16.2 Domino Major Business
        2.16.3 Domino Data Science and ML Platforms Product and Solutions
        2.16.4 Domino Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.16.5 Domino Recent Developments and Future Plans
    2.17 Altair
        2.17.1 Altair Details
        2.17.2 Altair Major Business
        2.17.3 Altair Data Science and ML Platforms Product and Solutions
        2.17.4 Altair Data Science and ML Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)
        2.17.5 Altair Recent Developments and Future Plans
3 Market Competition, by Players
    3.1 Global Data Science and ML Platforms Revenue and Share by Players (2019, 2020, 2021, and 2022)
    3.2 Market Concentration Rate
        3.2.1 Top 3 Data Science and ML Platforms Players Market Share in 2021
        3.2.2 Top 10 Data Science and ML Platforms Players Market Share in 2021
        3.2.3 Market Competition Trend
    3.3 Data Science and ML Platforms Players Head Office, Products and Services Provided
    3.4 Data Science and ML Platforms Mergers & Acquisitions
    3.5 Data Science and ML Platforms New Entrants and Expansion Plans
4 Market Size Segment by Type
    4.1 Global Data Science and ML Platforms Revenue and Market Share by Type (2017-2022)
    4.2 Global Data Science and ML Platforms Market Forecast by Type (2023-2028)
5 Market Size Segment by Application
    5.1 Global Data Science and ML Platforms Revenue Market Share by Application (2017-2022)
    5.2 Global Data Science and ML Platforms Market Forecast by Application (2023-2028)
6 North America by Country, by Type, and by Application
    6.1 North America Data Science and ML Platforms Revenue by Type (2017-2028)
    6.2 North America Data Science and ML Platforms Revenue by Application (2017-2028)
    6.3 North America Data Science and ML Platforms Market Size by Country
        6.3.1 North America Data Science and ML Platforms Revenue by Country (2017-2028)
        6.3.2 United States Data Science and ML Platforms Market Size and Forecast (2017-2028)
        6.3.3 Canada Data Science and ML Platforms Market Size and Forecast (2017-2028)
        6.3.4 Mexico Data Science and ML Platforms Market Size and Forecast (2017-2028)
7 Europe by Country, by Type, and by Application
    7.1 Europe Data Science and ML Platforms Revenue by Type (2017-2028)
    7.2 Europe Data Science and ML Platforms Revenue by Application (2017-2028)
    7.3 Europe Data Science and ML Platforms Market Size by Country
        7.3.1 Europe Data Science and ML Platforms Revenue by Country (2017-2028)
        7.3.2 Germany Data Science and ML Platforms Market Size and Forecast (2017-2028)
        7.3.3 France Data Science and ML Platforms Market Size and Forecast (2017-2028)
        7.3.4 United Kingdom Data Science and ML Platforms Market Size and Forecast (2017-2028)
        7.3.5 Russia Data Science and ML Platforms Market Size and Forecast (2017-2028)
        7.3.6 Italy Data Science and ML Platforms Market Size and Forecast (2017-2028)
8 Asia-Pacific by Region, by Type, and by Application
    8.1 Asia-Pacific Data Science and ML Platforms Revenue by Type (2017-2028)
    8.2 Asia-Pacific Data Science and ML Platforms Revenue by Application (2017-2028)
    8.3 Asia-Pacific Data Science and ML Platforms Market Size by Region
        8.3.1 Asia-Pacific Data Science and ML Platforms Revenue by Region (2017-2028)
        8.3.2 China Data Science and ML Platforms Market Size and Forecast (2017-2028)
        8.3.3 Japan Data Science and ML Platforms Market Size and Forecast (2017-2028)
        8.3.4 South Korea Data Science and ML Platforms Market Size and Forecast (2017-2028)
        8.3.5 India Data Science and ML Platforms Market Size and Forecast (2017-2028)
        8.3.6 Southeast Asia Data Science and ML Platforms Market Size and Forecast (2017-2028)
        8.3.7 Australia Data Science and ML Platforms Market Size and Forecast (2017-2028)
9 South America by Country, by Type, and by Application
    9.1 South America Data Science and ML Platforms Revenue by Type (2017-2028)
    9.2 South America Data Science and ML Platforms Revenue by Application (2017-2028)
    9.3 South America Data Science and ML Platforms Market Size by Country
        9.3.1 South America Data Science and ML Platforms Revenue by Country (2017-2028)
        9.3.2 Brazil Data Science and ML Platforms Market Size and Forecast (2017-2028)
        9.3.3 Argentina Data Science and ML Platforms Market Size and Forecast (2017-2028)
10 Middle East & Africa by Country, by Type, and by Application
    10.1 Middle East & Africa Data Science and ML Platforms Revenue by Type (2017-2028)
    10.2 Middle East & Africa Data Science and ML Platforms Revenue by Application (2017-2028)
    10.3 Middle East & Africa Data Science and ML Platforms Market Size by Country
        10.3.1 Middle East & Africa Data Science and ML Platforms Revenue by Country (2017-2028)
        10.3.2 Turkey Data Science and ML Platforms Market Size and Forecast (2017-2028)
        10.3.3 Saudi Arabia Data Science and ML Platforms Market Size and Forecast (2017-2028)
        10.3.4 UAE Data Science and ML Platforms Market Size and Forecast (2017-2028)
11 Research Findings and Conclusion
12 Appendix
    12.1 Methodology
    12.2 Research Process and Data Source
    12.3 Disclaimer

List of Tables Table 1. Global Data Science and ML Platforms Revenue by Type, (USD Million), 2017 VS 2021 VS 2028 Table 2. Global Data Science and ML Platforms Revenue by Application, (USD Million), 2017 VS 2021 VS 2028 Table 3. Global Market Data Science and ML Platforms Revenue (Million USD) Comparison by Region (2017 VS 2021 VS 2028) Table 4. Global Data Science and ML Platforms Revenue (USD Million) by Region (2017-2022) Table 5. Global Data Science and ML Platforms Revenue Market Share by Region (2023-2028) Table 6. Palantier Corporate Information, Head Office, and Major Competitors Table 7. Palantier Major Business Table 8. Palantier Data Science and ML Platforms Product and Solutions Table 9. Palantier Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 10. MathWorks Corporate Information, Head Office, and Major Competitors Table 11. MathWorks Major Business Table 12. MathWorks Data Science and ML Platforms Product and Solutions Table 13. MathWorks Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 14. Alteryx Corporate Information, Head Office, and Major Competitors Table 15. Alteryx Major Business Table 16. Alteryx Data Science and ML Platforms Product and Solutions Table 17. Alteryx Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 18. SAS Corporate Information, Head Office, and Major Competitors Table 19. SAS Major Business Table 20. SAS Data Science and ML Platforms Product and Solutions Table 21. SAS Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 22. Databricks Corporate Information, Head Office, and Major Competitors Table 23. Databricks Major Business Table 24. Databricks Data Science and ML Platforms Product and Solutions Table 25. Databricks Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 26. TIBCO Software Corporate Information, Head Office, and Major Competitors Table 27. TIBCO Software Major Business Table 28. TIBCO Software Data Science and ML Platforms Product and Solutions Table 29. TIBCO Software Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 30. Dataiku Corporate Information, Head Office, and Major Competitors Table 31. Dataiku Major Business Table 32. Dataiku Data Science and ML Platforms Product and Solutions Table 33. Dataiku Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 34. H2O.ai Corporate Information, Head Office, and Major Competitors Table 35. H2O.ai Major Business Table 36. H2O.ai Data Science and ML Platforms Product and Solutions Table 37. H2O.ai Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 38. IBM Corporate Information, Head Office, and Major Competitors Table 39. IBM Major Business Table 40. IBM Data Science and ML Platforms Product and Solutions Table 41. IBM Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 42. Microsoft Corporate Information, Head Office, and Major Competitors Table 43. Microsoft Major Business Table 44. Microsoft Data Science and ML Platforms Product and Solutions Table 45. Microsoft Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 46. Google Corporate Information, Head Office, and Major Competitors Table 47. Google Major Business Table 48. Google Data Science and ML Platforms Product and Solutions Table 49. Google Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 50. KNIME Corporate Information, Head Office, and Major Competitors Table 51. KNIME Major Business Table 52. KNIME Data Science and ML Platforms Product and Solutions Table 53. KNIME Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 54. DataRobot Corporate Information, Head Office, and Major Competitors Table 55. DataRobot Major Business Table 56. DataRobot Data Science and ML Platforms Product and Solutions Table 57. DataRobot Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 58. RapidMiner Corporate Information, Head Office, and Major Competitors Table 59. RapidMiner Major Business Table 60. RapidMiner Data Science and ML Platforms Product and Solutions Table 61. RapidMiner Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 62. Anaconda Corporate Information, Head Office, and Major Competitors Table 63. Anaconda Major Business Table 64. Anaconda Data Science and ML Platforms Product and Solutions Table 65. Anaconda Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 66. Domino Corporate Information, Head Office, and Major Competitors Table 67. Domino Major Business Table 68. Domino Data Science and ML Platforms Product and Solutions Table 69. Domino Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 70. Altair Corporate Information, Head Office, and Major Competitors Table 71. Altair Major Business Table 72. Altair Data Science and ML Platforms Product and Solutions Table 73. Altair Data Science and ML Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022) Table 74. Global Data Science and ML Platforms Revenue (USD Million) by Players (2019, 2020, 2021, and 2022) Table 75. Global Data Science and ML Platforms Revenue Share by Players (2019, 2020, 2021, and 2022) Table 76. Breakdown of Data Science and ML Platforms by Company Type (Tier 1, Tier 2 and Tier 3) Table 77. Data Science and ML Platforms Players Head Office, Products and Services Provided Table 78. Data Science and ML Platforms Mergers & Acquisitions in the Past Five Years Table 79. Data Science and ML Platforms New Entrants and Expansion Plans Table 80. Global Data Science and ML Platforms Revenue (USD Million) by Type (2017-2022) Table 81. Global Data Science and ML Platforms Revenue Share by Type (2017-2022) Table 82. Global Data Science and ML Platforms Revenue Forecast by Type (2023-2028) Table 83. Global Data Science and ML Platforms Revenue by Application (2017-2022) Table 84. Global Data Science and ML Platforms Revenue Forecast by Application (2023-2028) Table 85. North America Data Science and ML Platforms Revenue by Type (2017-2022) & (USD Million) Table 86. North America Data Science and ML Platforms Revenue by Type (2023-2028) & (USD Million) Table 87. North America Data Science and ML Platforms Revenue by Application (2017-2022) & (USD Million) Table 88. North America Data Science and ML Platforms Revenue by Application (2023-2028) & (USD Million) Table 89. North America Data Science and ML Platforms Revenue by Country (2017-2022) & (USD Million) Table 90. North America Data Science and ML Platforms Revenue by Country (2023-2028) & (USD Million) Table 91. Europe Data Science and ML Platforms Revenue by Type (2017-2022) & (USD Million) Table 92. Europe Data Science and ML Platforms Revenue by Type (2023-2028) & (USD Million) Table 93. Europe Data Science and ML Platforms Revenue by Application (2017-2022) & (USD Million) Table 94. Europe Data Science and ML Platforms Revenue by Application (2023-2028) & (USD Million) Table 95. Europe Data Science and ML Platforms Revenue by Country (2017-2022) & (USD Million) Table 96. Europe Data Science and ML Platforms Revenue by Country (2023-2028) & (USD Million) Table 97. Asia-Pacific Data Science and ML Platforms Revenue by Type (2017-2022) & (USD Million) Table 98. Asia-Pacific Data Science and ML Platforms Revenue by Type (2023-2028) & (USD Million) Table 99. Asia-Pacific Data Science and ML Platforms Revenue by Application (2017-2022) & (USD Million) Table 100. Asia-Pacific Data Science and ML Platforms Revenue by Application (2023-2028) & (USD Million) Table 101. Asia-Pacific Data Science and ML Platforms Revenue by Region (2017-2022) & (USD Million) Table 102. Asia-Pacific Data Science and ML Platforms Revenue by Region (2023-2028) & (USD Million) Table 103. South America Data Science and ML Platforms Revenue by Type (2017-2022) & (USD Million) Table 104. South America Data Science and ML Platforms Revenue by Type (2023-2028) & (USD Million) Table 105. South America Data Science and ML Platforms Revenue by Application (2017-2022) & (USD Million) Table 106. South America Data Science and ML Platforms Revenue by Application (2023-2028) & (USD Million) Table 107. South America Data Science and ML Platforms Revenue by Country (2017-2022) & (USD Million) Table 108. South America Data Science and ML Platforms Revenue by Country (2023-2028) & (USD Million) Table 109. Middle East & Africa Data Science and ML Platforms Revenue by Type (2017-2022) & (USD Million) Table 110. Middle East & Africa Data Science and ML Platforms Revenue by Type (2023-2028) & (USD Million) Table 111. Middle East & Africa Data Science and ML Platforms Revenue by Application (2017-2022) & (USD Million) Table 112. Middle East & Africa Data Science and ML Platforms Revenue by Application (2023-2028) & (USD Million) Table 113. Middle East & Africa Data Science and ML Platforms Revenue by Country (2017-2022) & (USD Million) Table 114. Middle East & Africa Data Science and ML Platforms Revenue by Country (2023-2028) & (USD Million) List of Figures Figure 1. Data Science and ML Platforms Picture Figure 2. Global Data Science and ML Platforms Revenue Market Share by Type in 2021 Figure 3. Cloud-based Figure 4. On-premises Figure 5. Data Science and ML Platforms Revenue Market Share by Application in 2021 Figure 6. Small and Medium Enterprises (SMEs) Picture Figure 7. Large Enterprises Picture Figure 8. Global Data Science and ML Platforms Market Size, (USD Million): 2017 VS 2021 VS 2028 Figure 9. Global Data Science and ML Platforms Revenue and Forecast (2017-2028) & (USD Million) Figure 10. Global Data Science and ML Platforms Revenue Market Share by Region (2017-2028) Figure 11. Global Data Science and ML Platforms Revenue Market Share by Region in 2021 Figure 12. North America Data Science and ML Platforms Revenue (USD Million) and Growth Rate (2017-2028) Figure 13. Europe Data Science and ML Platforms Revenue (USD Million) and Growth Rate (2017-2028) Figure 14. Asia-Pacific Data Science and ML Platforms Revenue (USD Million) and Growth Rate (2017-2028) Figure 15. South America Data Science and ML Platforms Revenue (USD Million) and Growth Rate (2017-2028) Figure 16. Middle East and Africa Data Science and ML Platforms Revenue (USD Million) and Growth Rate (2017-2028) Figure 17. Data Science and ML Platforms Market Drivers Figure 18. Data Science and ML Platforms Market Restraints Figure 19. Data Science and ML Platforms Market Trends Figure 20. Palantier Recent Developments and Future Plans Figure 21. MathWorks Recent Developments and Future Plans Figure 22. Alteryx Recent Developments and Future Plans Figure 23. SAS Recent Developments and Future Plans Figure 24. Databricks Recent Developments and Future Plans Figure 25. TIBCO Software Recent Developments and Future Plans Figure 26. Dataiku Recent Developments and Future Plans Figure 27. H2O.ai Recent Developments and Future Plans Figure 28. IBM Recent Developments and Future Plans Figure 29. Microsoft Recent Developments and Future Plans Figure 30. Google Recent Developments and Future Plans Figure 31. KNIME Recent Developments and Future Plans Figure 32. DataRobot Recent Developments and Future Plans Figure 33. RapidMiner Recent Developments and Future Plans Figure 34. Anaconda Recent Developments and Future Plans Figure 35. Domino Recent Developments and Future Plans Figure 36. Altair Recent Developments and Future Plans Figure 37. Global Data Science and ML Platforms Revenue Share by Players in 2021 Figure 38. Data Science and ML Platforms Market Share by Company Type (Tier 1, Tier 2 and Tier 3) in 2021 Figure 39. Global Top 3 Players Data Science and ML Platforms Revenue Market Share in 2021 Figure 40. Global Top 10 Players Data Science and ML Platforms Revenue Market Share in 2021 Figure 41. Key Players Market Share Trend (Top 3 Market Share: 2020 VS 2021 VS 2022) Figure 42. Global Data Science and ML Platforms Revenue Share by Type in 2021 Figure 43. Global Data Science and ML Platforms Market Share Forecast by Type (2023-2028) Figure 44. Global Data Science and ML Platforms Revenue Share by Application in 2021 Figure 45. Global Data Science and ML Platforms Market Share Forecast by Application (2023-2028) Figure 46. North America Data Science and ML Platforms Sales Market Share by Type (2017-2028) Figure 47. North America Data Science and ML Platforms Sales Market Share by Application (2017-2028) Figure 48. North America Data Science and ML Platforms Revenue Market Share by Country (2017-2028) Figure 49. United States Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 50. Canada Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 51. Mexico Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 52. Europe Data Science and ML Platforms Sales Market Share by Type (2017-2028) Figure 53. Europe Data Science and ML Platforms Sales Market Share by Application (2017-2028) Figure 54. Europe Data Science and ML Platforms Revenue Market Share by Country (2017-2028) Figure 55. Germany Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 56. France Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 57. United Kingdom Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 58. Russia Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 59. Italy Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 60. Asia-Pacific Data Science and ML Platforms Sales Market Share by Type (2017-2028) Figure 61. Asia-Pacific Data Science and ML Platforms Sales Market Share by Application (2017-2028) Figure 62. Asia-Pacific Data Science and ML Platforms Revenue Market Share by Region (2017-2028) Figure 63. China Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 64. Japan Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 65. South Korea Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 66. India Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 67. Southeast Asia Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 68. Australia Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 69. South America Data Science and ML Platforms Sales Market Share by Type (2017-2028) Figure 70. South America Data Science and ML Platforms Sales Market Share by Application (2017-2028) Figure 71. South America Data Science and ML Platforms Revenue Market Share by Country (2017-2028) Figure 72. Brazil Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 73. Argentina Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 74. Middle East and Africa Data Science and ML Platforms Sales Market Share by Type (2017-2028) Figure 75. Middle East and Africa Data Science and ML Platforms Sales Market Share by Application (2017-2028) Figure 76. Middle East and Africa Data Science and ML Platforms Revenue Market Share by Country (2017-2028) Figure 77. Turkey Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 78. Saudi Arabia Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 79. UAE Data Science and ML Platforms Revenue and Growth Rate (2017-2028) & (USD Million) Figure 80. Methodology Figure 81. Research Process and Data Source

Qualitative Analysis covers:

  • Industry Status and Trends
  • Manufacturer/Company profiles, manufacturing base distribution, sales areas, product introduction, main business, market position and their competitors.
  • Product Development, Technology, Price, Cost, Manufacturing Process and Trends
  • Market segment by regions, types, applications and forecast
  • Market opportunities, potential, government policies and influence factors.
     

Quantitative Analysis covers:

  • Market size (value, sales/output, historical data and forecasts)
  • Sales/output/capacity, revenue, price, gross margin, market share, for top players. Through interviewing each manufacturers,  distributors, traders, dealers and buyers etc.
  • Cost structure, proportion, price trend, gross margin and trend, status and trend, for 10 years
  • Market size by types, regions, applications for 10 years
  • Market forecast based on the potential demand from downstream clients/buyers, government, influence factors and the total economic indication, maybe occur in following years.
     

Data Sources:

Methodology

 

Publisher: GlobalInfoResearch

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