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Global Data Science and Machine-Learning Platforms Market Research Report 2023
Published Date: March 2023
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Report Code: QYRE-Auto-25B8555
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Global Data Science and Machine Learning Platforms Market Insights and Forecast to 2028
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Global Data Science and Machine-Learning Platforms Market Research Report 2023

Code: QYRE-Auto-25B8555
Report
March 2023
Pages:103
QYResearch
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES

Global Data Science and Machine-Learning Platforms Market

The global Data Science and Machine-Learning Platforms market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Data Science and Machine-Learning Platforms is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Data Science and Machine-Learning Platforms is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Data Science and Machine-Learning Platforms in Small-Sized Enterprises is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Data Science and Machine-Learning Platforms include SAS, Alteryx, IBM, RapidMiner, KNIME, Microsoft, Dataiku, Databricks and TIBCO Software, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.

Report Scope

This report aims to provide a comprehensive presentation of the global market for Data Science and Machine-Learning Platforms, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Science and Machine-Learning Platforms.
The Data Science and Machine-Learning Platforms market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Data Science and Machine-Learning Platforms market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Data Science and Machine-Learning Platforms companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.

Key Segmentations

By Company

  • SAS
  • Alteryx
  • IBM
  • RapidMiner
  • KNIME
  • Microsoft
  • Dataiku
  • Databricks
  • TIBCO Software
  • MathWorks
  • H20.ai
  • Anaconda
  • SAP
  • Google
  • Domino Data Lab
  • Angoss
  • Lexalytics
  • Rapid Insight

Segment by Type

  • Open Source Data Integration Tools
  • Cloud-based Data Integration Tools

Segment by Application

  • Small-Sized Enterprises
  • Medium-Sized Enterprise
  • Large Enterprises

By Region

  • North America
  • United States
  • Canada
  • Europe
  • Germany
  • France
  • UK
  • Italy
  • Russia
  • Nordic Countries
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • South Korea
  • Southeast Asia
  • India
  • Australia
  • Rest of Asia
  • Latin America
  • Mexico
  • Brazil
  • Rest of Latin America
  • Middle East & Africa
  • Turkey
  • Saudi Arabia
  • UAE
  • Rest of MEA

Core Chapters

  • Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
  • Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
  • Chapter 3: Detailed analysis of Data Science and Machine-Learning Platforms companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
  • Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
  • Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
  • Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
  • Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
  • Chapter 12: The main points and conclusions of the report.

Scope of Global Data Science and Machine-Learning Platforms Market Report

Report MetricDetails
Report NameGlobal Data Science and Machine-Learning Platforms Market
Base Year2022
Forecasted years2023-2029
Forecast unitsUSD
Report coverageRevenue and volume forecast, company share, competitive landscape, growth factors and trends
Geographic regions coveredNorth America, Europe, Asia Pacific, Latin America, Middle East & Africa
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Open Source Data Integration Tools
1.2.3 Cloud-based Data Integration Tools
1.3 Market by Application
1.3.1 Global Data Science and Machine-Learning Platforms Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Small-Sized Enterprises
1.3.3 Medium-Sized Enterprise
1.3.4 Large Enterprises
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Science and Machine-Learning Platforms Market Perspective (2018-2029)
2.2 Data Science and Machine-Learning Platforms Growth Trends by Region
2.2.1 Global Data Science and Machine-Learning Platforms Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Data Science and Machine-Learning Platforms Historic Market Size by Region (2018-2023)
2.2.3 Data Science and Machine-Learning Platforms Forecasted Market Size by Region (2024-2029)
2.3 Data Science and Machine-Learning Platforms Market Dynamics
2.3.1 Data Science and Machine-Learning Platforms Industry Trends
2.3.2 Data Science and Machine-Learning Platforms Market Drivers
2.3.3 Data Science and Machine-Learning Platforms Market Challenges
2.3.4 Data Science and Machine-Learning Platforms Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Science and Machine-Learning Platforms Players by Revenue
3.1.1 Global Top Data Science and Machine-Learning Platforms Players by Revenue (2018-2023)
3.1.2 Global Data Science and Machine-Learning Platforms Revenue Market Share by Players (2018-2023)
3.2 Global Data Science and Machine-Learning Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Science and Machine-Learning Platforms Revenue
3.4 Global Data Science and Machine-Learning Platforms Market Concentration Ratio
3.4.1 Global Data Science and Machine-Learning Platforms Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Science and Machine-Learning Platforms Revenue in 2022
3.5 Data Science and Machine-Learning Platforms Key Players Head office and Area Served
3.6 Key Players Data Science and Machine-Learning Platforms Product Solution and Service
3.7 Date of Enter into Data Science and Machine-Learning Platforms Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Science and Machine-Learning Platforms Breakdown Data by Type
4.1 Global Data Science and Machine-Learning Platforms Historic Market Size by Type (2018-2023)
4.2 Global Data Science and Machine-Learning Platforms Forecasted Market Size by Type (2024-2029)
5 Data Science and Machine-Learning Platforms Breakdown Data by Application
5.1 Global Data Science and Machine-Learning Platforms Historic Market Size by Application (2018-2023)
5.2 Global Data Science and Machine-Learning Platforms Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Data Science and Machine-Learning Platforms Market Size (2018-2029)
6.2 North America Data Science and Machine-Learning Platforms Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Data Science and Machine-Learning Platforms Market Size by Country (2018-2023)
6.4 North America Data Science and Machine-Learning Platforms Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Science and Machine-Learning Platforms Market Size (2018-2029)
7.2 Europe Data Science and Machine-Learning Platforms Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Data Science and Machine-Learning Platforms Market Size by Country (2018-2023)
7.4 Europe Data Science and Machine-Learning Platforms Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Data Science and Machine-Learning Platforms Market Size (2018-2029)
8.2 Asia-Pacific Data Science and Machine-Learning Platforms Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Region (2018-2023)
8.4 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Data Science and Machine-Learning Platforms Market Size (2018-2029)
9.2 Latin America Data Science and Machine-Learning Platforms Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Data Science and Machine-Learning Platforms Market Size by Country (2018-2023)
9.4 Latin America Data Science and Machine-Learning Platforms Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Science and Machine-Learning Platforms Market Size (2018-2029)
10.2 Middle East & Africa Data Science and Machine-Learning Platforms Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Country (2018-2023)
10.4 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 SAS
11.1.1 SAS Company Detail
11.1.2 SAS Business Overview
11.1.3 SAS Data Science and Machine-Learning Platforms Introduction
11.1.4 SAS Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.1.5 SAS Recent Development
11.2 Alteryx
11.2.1 Alteryx Company Detail
11.2.2 Alteryx Business Overview
11.2.3 Alteryx Data Science and Machine-Learning Platforms Introduction
11.2.4 Alteryx Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.2.5 Alteryx Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Data Science and Machine-Learning Platforms Introduction
11.3.4 IBM Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.3.5 IBM Recent Development
11.4 RapidMiner
11.4.1 RapidMiner Company Detail
11.4.2 RapidMiner Business Overview
11.4.3 RapidMiner Data Science and Machine-Learning Platforms Introduction
11.4.4 RapidMiner Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.4.5 RapidMiner Recent Development
11.5 KNIME
11.5.1 KNIME Company Detail
11.5.2 KNIME Business Overview
11.5.3 KNIME Data Science and Machine-Learning Platforms Introduction
11.5.4 KNIME Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.5.5 KNIME Recent Development
11.6 Microsoft
11.6.1 Microsoft Company Detail
11.6.2 Microsoft Business Overview
11.6.3 Microsoft Data Science and Machine-Learning Platforms Introduction
11.6.4 Microsoft Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.6.5 Microsoft Recent Development
11.7 Dataiku
11.7.1 Dataiku Company Detail
11.7.2 Dataiku Business Overview
11.7.3 Dataiku Data Science and Machine-Learning Platforms Introduction
11.7.4 Dataiku Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.7.5 Dataiku Recent Development
11.8 Databricks
11.8.1 Databricks Company Detail
11.8.2 Databricks Business Overview
11.8.3 Databricks Data Science and Machine-Learning Platforms Introduction
11.8.4 Databricks Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.8.5 Databricks Recent Development
11.9 TIBCO Software
11.9.1 TIBCO Software Company Detail
11.9.2 TIBCO Software Business Overview
11.9.3 TIBCO Software Data Science and Machine-Learning Platforms Introduction
11.9.4 TIBCO Software Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.9.5 TIBCO Software Recent Development
11.10 MathWorks
11.10.1 MathWorks Company Detail
11.10.2 MathWorks Business Overview
11.10.3 MathWorks Data Science and Machine-Learning Platforms Introduction
11.10.4 MathWorks Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.10.5 MathWorks Recent Development
11.11 H20.ai
11.11.1 H20.ai Company Detail
11.11.2 H20.ai Business Overview
11.11.3 H20.ai Data Science and Machine-Learning Platforms Introduction
11.11.4 H20.ai Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.11.5 H20.ai Recent Development
11.12 Anaconda
11.12.1 Anaconda Company Detail
11.12.2 Anaconda Business Overview
11.12.3 Anaconda Data Science and Machine-Learning Platforms Introduction
11.12.4 Anaconda Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.12.5 Anaconda Recent Development
11.13 SAP
11.13.1 SAP Company Detail
11.13.2 SAP Business Overview
11.13.3 SAP Data Science and Machine-Learning Platforms Introduction
11.13.4 SAP Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.13.5 SAP Recent Development
11.14 Google
11.14.1 Google Company Detail
11.14.2 Google Business Overview
11.14.3 Google Data Science and Machine-Learning Platforms Introduction
11.14.4 Google Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.14.5 Google Recent Development
11.15 Domino Data Lab
11.15.1 Domino Data Lab Company Detail
11.15.2 Domino Data Lab Business Overview
11.15.3 Domino Data Lab Data Science and Machine-Learning Platforms Introduction
11.15.4 Domino Data Lab Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.15.5 Domino Data Lab Recent Development
11.16 Angoss
11.16.1 Angoss Company Detail
11.16.2 Angoss Business Overview
11.16.3 Angoss Data Science and Machine-Learning Platforms Introduction
11.16.4 Angoss Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.16.5 Angoss Recent Development
11.17 Lexalytics
11.17.1 Lexalytics Company Detail
11.17.2 Lexalytics Business Overview
11.17.3 Lexalytics Data Science and Machine-Learning Platforms Introduction
11.17.4 Lexalytics Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.17.5 Lexalytics Recent Development
11.18 Rapid Insight
11.18.1 Rapid Insight Company Detail
11.18.2 Rapid Insight Business Overview
11.18.3 Rapid Insight Data Science and Machine-Learning Platforms Introduction
11.18.4 Rapid Insight Revenue in Data Science and Machine-Learning Platforms Business (2018-2023)
11.18.5 Rapid Insight Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
List of Tables
    Table 1. Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type (US$ Million): 2018 VS 2022 VS 2029
    Table 2. Key Players of Open Source Data Integration Tools
    Table 3. Key Players of Cloud-based Data Integration Tools
    Table 4. Global Data Science and Machine-Learning Platforms Market Size Growth by Application (US$ Million): 2018 VS 2022 VS 2029
    Table 5. Global Data Science and Machine-Learning Platforms Market Size by Region (US$ Million): 2018 VS 2022 VS 2029
    Table 6. Global Data Science and Machine-Learning Platforms Market Size by Region (2018-2023) & (US$ Million)
    Table 7. Global Data Science and Machine-Learning Platforms Market Share by Region (2018-2023)
    Table 8. Global Data Science and Machine-Learning Platforms Forecasted Market Size by Region (2024-2029) & (US$ Million)
    Table 9. Global Data Science and Machine-Learning Platforms Market Share by Region (2024-2029)
    Table 10. Data Science and Machine-Learning Platforms Market Trends
    Table 11. Data Science and Machine-Learning Platforms Market Drivers
    Table 12. Data Science and Machine-Learning Platforms Market Challenges
    Table 13. Data Science and Machine-Learning Platforms Market Restraints
    Table 14. Global Data Science and Machine-Learning Platforms Revenue by Players (2018-2023) & (US$ Million)
    Table 15. Global Data Science and Machine-Learning Platforms Market Share by Players (2018-2023)
    Table 16. Global Top Data Science and Machine-Learning Platforms Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science and Machine-Learning Platforms as of 2022)
    Table 17. Ranking of Global Top Data Science and Machine-Learning Platforms Companies by Revenue (US$ Million) in 2022
    Table 18. Global 5 Largest Players Market Share by Data Science and Machine-Learning Platforms Revenue (CR5 and HHI) & (2018-2023)
    Table 19. Key Players Headquarters and Area Served
    Table 20. Key Players Data Science and Machine-Learning Platforms Product Solution and Service
    Table 21. Date of Enter into Data Science and Machine-Learning Platforms Market
    Table 22. Mergers & Acquisitions, Expansion Plans
    Table 23. Global Data Science and Machine-Learning Platforms Market Size by Type (2018-2023) & (US$ Million)
    Table 24. Global Data Science and Machine-Learning Platforms Revenue Market Share by Type (2018-2023)
    Table 25. Global Data Science and Machine-Learning Platforms Forecasted Market Size by Type (2024-2029) & (US$ Million)
    Table 26. Global Data Science and Machine-Learning Platforms Revenue Market Share by Type (2024-2029)
    Table 27. Global Data Science and Machine-Learning Platforms Market Size by Application (2018-2023) & (US$ Million)
    Table 28. Global Data Science and Machine-Learning Platforms Revenue Market Share by Application (2018-2023)
    Table 29. Global Data Science and Machine-Learning Platforms Forecasted Market Size by Application (2024-2029) & (US$ Million)
    Table 30. Global Data Science and Machine-Learning Platforms Revenue Market Share by Application (2024-2029)
    Table 31. North America Data Science and Machine-Learning Platforms Market Size Growth Rate by Country (US$ Million): 2018 VS 2022 VS 2029
    Table 32. North America Data Science and Machine-Learning Platforms Market Size by Country (2018-2023) & (US$ Million)
    Table 33. North America Data Science and Machine-Learning Platforms Market Size by Country (2024-2029) & (US$ Million)
    Table 34. Europe Data Science and Machine-Learning Platforms Market Size Growth Rate by Country (US$ Million): 2018 VS 2022 VS 2029
    Table 35. Europe Data Science and Machine-Learning Platforms Market Size by Country (2018-2023) & (US$ Million)
    Table 36. Europe Data Science and Machine-Learning Platforms Market Size by Country (2024-2029) & (US$ Million)
    Table 37. Asia-Pacific Data Science and Machine-Learning Platforms Market Size Growth Rate by Region (US$ Million): 2018 VS 2022 VS 2029
    Table 38. Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Region (2018-2023) & (US$ Million)
    Table 39. Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Region (2024-2029) & (US$ Million)
    Table 40. Latin America Data Science and Machine-Learning Platforms Market Size Growth Rate by Country (US$ Million): 2018 VS 2022 VS 2029
    Table 41. Latin America Data Science and Machine-Learning Platforms Market Size by Country (2018-2023) & (US$ Million)
    Table 42. Latin America Data Science and Machine-Learning Platforms Market Size by Country (2024-2029) & (US$ Million)
    Table 43. Middle East & Africa Data Science and Machine-Learning Platforms Market Size Growth Rate by Country (US$ Million): 2018 VS 2022 VS 2029
    Table 44. Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Country (2018-2023) & (US$ Million)
    Table 45. Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Country (2024-2029) & (US$ Million)
    Table 46. SAS Company Detail
    Table 47. SAS Business Overview
    Table 48. SAS Data Science and Machine-Learning Platforms Product
    Table 49. SAS Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 50. SAS Recent Development
    Table 51. Alteryx Company Detail
    Table 52. Alteryx Business Overview
    Table 53. Alteryx Data Science and Machine-Learning Platforms Product
    Table 54. Alteryx Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 55. Alteryx Recent Development
    Table 56. IBM Company Detail
    Table 57. IBM Business Overview
    Table 58. IBM Data Science and Machine-Learning Platforms Product
    Table 59. IBM Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 60. IBM Recent Development
    Table 61. RapidMiner Company Detail
    Table 62. RapidMiner Business Overview
    Table 63. RapidMiner Data Science and Machine-Learning Platforms Product
    Table 64. RapidMiner Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 65. RapidMiner Recent Development
    Table 66. KNIME Company Detail
    Table 67. KNIME Business Overview
    Table 68. KNIME Data Science and Machine-Learning Platforms Product
    Table 69. KNIME Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 70. KNIME Recent Development
    Table 71. Microsoft Company Detail
    Table 72. Microsoft Business Overview
    Table 73. Microsoft Data Science and Machine-Learning Platforms Product
    Table 74. Microsoft Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 75. Microsoft Recent Development
    Table 76. Dataiku Company Detail
    Table 77. Dataiku Business Overview
    Table 78. Dataiku Data Science and Machine-Learning Platforms Product
    Table 79. Dataiku Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 80. Dataiku Recent Development
    Table 81. Databricks Company Detail
    Table 82. Databricks Business Overview
    Table 83. Databricks Data Science and Machine-Learning Platforms Product
    Table 84. Databricks Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 85. Databricks Recent Development
    Table 86. TIBCO Software Company Detail
    Table 87. TIBCO Software Business Overview
    Table 88. TIBCO Software Data Science and Machine-Learning Platforms Product
    Table 89. TIBCO Software Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 90. TIBCO Software Recent Development
    Table 91. MathWorks Company Detail
    Table 92. MathWorks Business Overview
    Table 93. MathWorks Data Science and Machine-Learning Platforms Product
    Table 94. MathWorks Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 95. MathWorks Recent Development
    Table 96. H20.ai Company Detail
    Table 97. H20.ai Business Overview
    Table 98. H20.ai Data Science and Machine-Learning Platforms Product
    Table 99. H20.ai Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 100. H20.ai Recent Development
    Table 101. Anaconda Company Detail
    Table 102. Anaconda Business Overview
    Table 103. Anaconda Data Science and Machine-Learning Platforms Product
    Table 104. Anaconda Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 105. Anaconda Recent Development
    Table 106. SAP Company Detail
    Table 107. SAP Business Overview
    Table 108. SAP Data Science and Machine-Learning Platforms Product
    Table 109. SAP Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 110. SAP Recent Development
    Table 111. Google Company Detail
    Table 112. Google Business Overview
    Table 113. Google Data Science and Machine-Learning Platforms Product
    Table 114. Google Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 115. Google Recent Development
    Table 116. Domino Data Lab Company Detail
    Table 117. Domino Data Lab Business Overview
    Table 118. Domino Data Lab Data Science and Machine-Learning Platforms Product
    Table 119. Domino Data Lab Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 120. Domino Data Lab Recent Development
    Table 121. Angoss Company Detail
    Table 122. Angoss Business Overview
    Table 123. Angoss Data Science and Machine-Learning Platforms Product
    Table 124. Angoss Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 125. Angoss Recent Development
    Table 126. Lexalytics Company Detail
    Table 127. Lexalytics Business Overview
    Table 128. Lexalytics Data Science and Machine-Learning Platforms Product
    Table 129. Lexalytics Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 130. Lexalytics Recent Development
    Table 131. Rapid Insight Company Detail
    Table 132. Rapid Insight Business Overview
    Table 133. Rapid Insight Data Science and Machine-Learning Platforms Product
    Table 134. Rapid Insight Revenue in Data Science and Machine-Learning Platforms Business (2018-2023) & (US$ Million)
    Table 135. Rapid Insight Recent Development
    Table 136. Research Programs/Design for This Report
    Table 137. Key Data Information from Secondary Sources
    Table 138. Key Data Information from Primary Sources
List of Figures
    Figure 1. Global Data Science and Machine-Learning Platforms Market Size Comparison by Type (2023-2029) & (US$ Million)
    Figure 2. Global Data Science and Machine-Learning Platforms Market Share by Type: 2022 VS 2029
    Figure 3. Open Source Data Integration Tools Features
    Figure 4. Cloud-based Data Integration Tools Features
    Figure 5. Global Data Science and Machine-Learning Platforms Market Size Comparison by Application (2023-2029) & (US$ Million)
    Figure 6. Global Data Science and Machine-Learning Platforms Market Share by Application: 2022 VS 2029
    Figure 7. Small-Sized Enterprises Case Studies
    Figure 8. Medium-Sized Enterprise Case Studies
    Figure 9. Large Enterprises Case Studies
    Figure 10. Data Science and Machine-Learning Platforms Report Years Considered
    Figure 11. Global Data Science and Machine-Learning Platforms Market Size (US$ Million), Year-over-Year: 2018-2029
    Figure 12. Global Data Science and Machine-Learning Platforms Market Size, (US$ Million), 2018 VS 2022 VS 2029
    Figure 13. Global Data Science and Machine-Learning Platforms Market Share by Region: 2022 VS 2029
    Figure 14. Global Data Science and Machine-Learning Platforms Market Share by Players in 2022
    Figure 15. Global Top Data Science and Machine-Learning Platforms Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science and Machine-Learning Platforms as of 2022)
    Figure 16. The Top 10 and 5 Players Market Share by Data Science and Machine-Learning Platforms Revenue in 2022
    Figure 17. North America Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 18. North America Data Science and Machine-Learning Platforms Market Share by Country (2018-2029)
    Figure 19. United States Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 20. Canada Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 21. Europe Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 22. Europe Data Science and Machine-Learning Platforms Market Share by Country (2018-2029)
    Figure 23. Germany Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 24. France Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 25. U.K. Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 26. Italy Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 27. Russia Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 28. Nordic Countries Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 29. Asia-Pacific Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 30. Asia-Pacific Data Science and Machine-Learning Platforms Market Share by Region (2018-2029)
    Figure 31. China Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 32. Japan Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 33. South Korea Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 34. Southeast Asia Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 35. India Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 36. Australia Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 37. Latin America Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 38. Latin America Data Science and Machine-Learning Platforms Market Share by Country (2018-2029)
    Figure 39. Mexico Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 40. Brazil Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 41. Middle East & Africa Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 42. Middle East & Africa Data Science and Machine-Learning Platforms Market Share by Country (2018-2029)
    Figure 43. Turkey Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 44. Saudi Arabia Data Science and Machine-Learning Platforms Market Size YoY Growth (2018-2029) & (US$ Million)
    Figure 45. SAS Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 46. Alteryx Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 47. IBM Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 48. RapidMiner Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 49. KNIME Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 50. Microsoft Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 51. Dataiku Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 52. Databricks Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 53. TIBCO Software Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 54. MathWorks Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 55. H20.ai Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 56. Anaconda Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 57. SAP Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 58. Google Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 59. Domino Data Lab Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 60. Angoss Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 61. Lexalytics Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 62. Rapid Insight Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2018-2023)
    Figure 63. Bottom-up and Top-down Approaches for This Report
    Figure 64. Data Triangulation
    Figure 65. Key Executives Interviewed
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