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Global Data Science and Machine Learning (DSML) Platforms Market Research Report 2025
Published Date: March 2025
|
Report Code: QYRE-Auto-38B18848
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Global Data Science and Machine Learning DSML Platforms Market Research Report 2025
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Global Data Science and Machine Learning (DSML) Platforms Market Research Report 2025

Code: QYRE-Auto-38B18848
Report
March 2025
Pages:98
QYResearch
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES
FEATURED COMPANIES
Developers
GOOGLE INC
Databricks
Saturn Cloud
Alteryx
Dataiku
DataRobot
AWS
MathWorks
Altair
IBM
SAS
Anaconda
DataCamp Limited
Domo
Snowflake
Deepnote
Posit Software
Hex Tech

Data Science and Machine Learning (DSML) Platforms Market Size

The global market for Data Science and Machine Learning (DSML) Platforms was valued at US$ 866 million in the year 2024 and is projected to reach a revised size of US$ 1409 million by 2031, growing at a CAGR of 7.5% during the forecast period.

Data Science and Machine Learning (DSML) Platforms Market

Data Science and Machine Learning (DSML) Platforms Market

Data science and machine learning (DSML) platforms provide users with tools to build, deploy, and monitor machine learning algorithms. These software platforms combine intelligent decision-making algorithms with data, enabling developers to create business solutions.
North American market for Data Science and Machine Learning (DSML) Platforms is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Data Science and Machine Learning (DSML) Platforms is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for Data Science and Machine Learning (DSML) Platforms in BFSI is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of Data Science and Machine Learning (DSML) Platforms include Google, Databricks, Deepnote, Saturn Cloud, Alteryx, Dataiku, DataRobot, AWS, MathWorks, Altair, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Data Science and Machine Learning (DSML) 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 (DSML) Platforms.
The Data Science and Machine Learning (DSML) Platforms market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Data Science and Machine Learning (DSML) 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 (DSML) 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.
Market Segmentation

Scope of Data Science and Machine Learning (DSML) Platforms Market Report

Report Metric Details
Report Name Data Science and Machine Learning (DSML) Platforms Market
Accounted market size in year US$ 866 million
Forecasted market size in 2031 US$ 1409 million
CAGR 7.5%
Base Year year
Forecasted years 2025 - 2031
Segment by Type
  • Cloud-based
  • On-premises
Segment by Application
By Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • 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)
By Company Google, Databricks, Deepnote, Saturn Cloud, Alteryx, Dataiku, DataRobot, AWS, MathWorks, Altair, IBM, SAS, Anaconda, Posit Software, Hex Tech, DataCamp, Domo, Snowflake
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 (DSML) Platforms company 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 main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
  • Chapter 12: The main points and conclusions of the report.

FAQ for this report

How fast is Data Science and Machine Learning (DSML) Platforms Market growing?

Ans: The Data Science and Machine Learning (DSML) Platforms Market witnessing a CAGR of 7.5% during the forecast period 2025-2031.

What is the Data Science and Machine Learning (DSML) Platforms Market size in 2031?

Ans: The Data Science and Machine Learning (DSML) Platforms Market size in 2031 will be US$ 1409 million.

Who are the main players in the Data Science and Machine Learning (DSML) Platforms Market report?

Ans: The main players in the Data Science and Machine Learning (DSML) Platforms Market are Google, Databricks, Deepnote, Saturn Cloud, Alteryx, Dataiku, DataRobot, AWS, MathWorks, Altair, IBM, SAS, Anaconda, Posit Software, Hex Tech, DataCamp, Domo, Snowflake

What are the Application segmentation covered in the Data Science and Machine Learning (DSML) Platforms Market report?

Ans: The Applications covered in the Data Science and Machine Learning (DSML) Platforms Market report are BFSI, Healthcare and Life Science, Manufacturing, Media and Retail, Other

What are the Type segmentation covered in the Data Science and Machine Learning (DSML) Platforms Market report?

Ans: The Types covered in the Data Science and Machine Learning (DSML) Platforms Market report are Cloud-based, On-premises

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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Science and Machine Learning (DSML) Platforms Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Data Science and Machine Learning (DSML) Platforms Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 BFSI
1.3.3 Healthcare and Life Science
1.3.4 Manufacturing
1.3.5 Media and Retail
1.3.6 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Science and Machine Learning (DSML) Platforms Market Perspective (2020-2031)
2.2 Global Data Science and Machine Learning (DSML) Platforms Growth Trends by Region
2.2.1 Global Data Science and Machine Learning (DSML) Platforms Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Data Science and Machine Learning (DSML) Platforms Historic Market Size by Region (2020-2025)
2.2.3 Data Science and Machine Learning (DSML) Platforms Forecasted Market Size by Region (2026-2031)
2.3 Data Science and Machine Learning (DSML) Platforms Market Dynamics
2.3.1 Data Science and Machine Learning (DSML) Platforms Industry Trends
2.3.2 Data Science and Machine Learning (DSML) Platforms Market Drivers
2.3.3 Data Science and Machine Learning (DSML) Platforms Market Challenges
2.3.4 Data Science and Machine Learning (DSML) Platforms Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Science and Machine Learning (DSML) Platforms Players by Revenue
3.1.1 Global Top Data Science and Machine Learning (DSML) Platforms Players by Revenue (2020-2025)
3.1.2 Global Data Science and Machine Learning (DSML) Platforms Revenue Market Share by Players (2020-2025)
3.2 Global Top Data Science and Machine Learning (DSML) Platforms Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Data Science and Machine Learning (DSML) Platforms Revenue
3.4 Global Data Science and Machine Learning (DSML) Platforms Market Concentration Ratio
3.4.1 Global Data Science and Machine Learning (DSML) Platforms Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Science and Machine Learning (DSML) Platforms Revenue in 2024
3.5 Global Key Players of Data Science and Machine Learning (DSML) Platforms Head office and Area Served
3.6 Global Key Players of Data Science and Machine Learning (DSML) Platforms, Product and Application
3.7 Global Key Players of Data Science and Machine Learning (DSML) Platforms, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Science and Machine Learning (DSML) Platforms Breakdown Data by Type
4.1 Global Data Science and Machine Learning (DSML) Platforms Historic Market Size by Type (2020-2025)
4.2 Global Data Science and Machine Learning (DSML) Platforms Forecasted Market Size by Type (2026-2031)
5 Data Science and Machine Learning (DSML) Platforms Breakdown Data by Application
5.1 Global Data Science and Machine Learning (DSML) Platforms Historic Market Size by Application (2020-2025)
5.2 Global Data Science and Machine Learning (DSML) Platforms Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Data Science and Machine Learning (DSML) Platforms Market Size (2020-2031)
6.2 North America Data Science and Machine Learning (DSML) Platforms Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Data Science and Machine Learning (DSML) Platforms Market Size by Country (2020-2025)
6.4 North America Data Science and Machine Learning (DSML) Platforms Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Science and Machine Learning (DSML) Platforms Market Size (2020-2031)
7.2 Europe Data Science and Machine Learning (DSML) Platforms Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Data Science and Machine Learning (DSML) Platforms Market Size by Country (2020-2025)
7.4 Europe Data Science and Machine Learning (DSML) Platforms Market Size by Country (2026-2031)
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 (DSML) Platforms Market Size (2020-2031)
8.2 Asia-Pacific Data Science and Machine Learning (DSML) Platforms Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Data Science and Machine Learning (DSML) Platforms Market Size by Region (2020-2025)
8.4 Asia-Pacific Data Science and Machine Learning (DSML) Platforms Market Size by Region (2026-2031)
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 (DSML) Platforms Market Size (2020-2031)
9.2 Latin America Data Science and Machine Learning (DSML) Platforms Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Data Science and Machine Learning (DSML) Platforms Market Size by Country (2020-2025)
9.4 Latin America Data Science and Machine Learning (DSML) Platforms Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Science and Machine Learning (DSML) Platforms Market Size (2020-2031)
10.2 Middle East & Africa Data Science and Machine Learning (DSML) Platforms Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Data Science and Machine Learning (DSML) Platforms Market Size by Country (2020-2025)
10.4 Middle East & Africa Data Science and Machine Learning (DSML) Platforms Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google
11.1.1 Google Company Details
11.1.2 Google Business Overview
11.1.3 Google Data Science and Machine Learning (DSML) Platforms Introduction
11.1.4 Google Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.1.5 Google Recent Development
11.2 Databricks
11.2.1 Databricks Company Details
11.2.2 Databricks Business Overview
11.2.3 Databricks Data Science and Machine Learning (DSML) Platforms Introduction
11.2.4 Databricks Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.2.5 Databricks Recent Development
11.3 Deepnote
11.3.1 Deepnote Company Details
11.3.2 Deepnote Business Overview
11.3.3 Deepnote Data Science and Machine Learning (DSML) Platforms Introduction
11.3.4 Deepnote Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.3.5 Deepnote Recent Development
11.4 Saturn Cloud
11.4.1 Saturn Cloud Company Details
11.4.2 Saturn Cloud Business Overview
11.4.3 Saturn Cloud Data Science and Machine Learning (DSML) Platforms Introduction
11.4.4 Saturn Cloud Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.4.5 Saturn Cloud Recent Development
11.5 Alteryx
11.5.1 Alteryx Company Details
11.5.2 Alteryx Business Overview
11.5.3 Alteryx Data Science and Machine Learning (DSML) Platforms Introduction
11.5.4 Alteryx Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.5.5 Alteryx Recent Development
11.6 Dataiku
11.6.1 Dataiku Company Details
11.6.2 Dataiku Business Overview
11.6.3 Dataiku Data Science and Machine Learning (DSML) Platforms Introduction
11.6.4 Dataiku Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.6.5 Dataiku Recent Development
11.7 DataRobot
11.7.1 DataRobot Company Details
11.7.2 DataRobot Business Overview
11.7.3 DataRobot Data Science and Machine Learning (DSML) Platforms Introduction
11.7.4 DataRobot Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.7.5 DataRobot Recent Development
11.8 AWS
11.8.1 AWS Company Details
11.8.2 AWS Business Overview
11.8.3 AWS Data Science and Machine Learning (DSML) Platforms Introduction
11.8.4 AWS Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.8.5 AWS Recent Development
11.9 MathWorks
11.9.1 MathWorks Company Details
11.9.2 MathWorks Business Overview
11.9.3 MathWorks Data Science and Machine Learning (DSML) Platforms Introduction
11.9.4 MathWorks Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.9.5 MathWorks Recent Development
11.10 Altair
11.10.1 Altair Company Details
11.10.2 Altair Business Overview
11.10.3 Altair Data Science and Machine Learning (DSML) Platforms Introduction
11.10.4 Altair Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.10.5 Altair Recent Development
11.11 IBM
11.11.1 IBM Company Details
11.11.2 IBM Business Overview
11.11.3 IBM Data Science and Machine Learning (DSML) Platforms Introduction
11.11.4 IBM Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.11.5 IBM Recent Development
11.12 SAS
11.12.1 SAS Company Details
11.12.2 SAS Business Overview
11.12.3 SAS Data Science and Machine Learning (DSML) Platforms Introduction
11.12.4 SAS Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.12.5 SAS Recent Development
11.13 Anaconda
11.13.1 Anaconda Company Details
11.13.2 Anaconda Business Overview
11.13.3 Anaconda Data Science and Machine Learning (DSML) Platforms Introduction
11.13.4 Anaconda Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.13.5 Anaconda Recent Development
11.14 Posit Software
11.14.1 Posit Software Company Details
11.14.2 Posit Software Business Overview
11.14.3 Posit Software Data Science and Machine Learning (DSML) Platforms Introduction
11.14.4 Posit Software Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.14.5 Posit Software Recent Development
11.15 Hex Tech
11.15.1 Hex Tech Company Details
11.15.2 Hex Tech Business Overview
11.15.3 Hex Tech Data Science and Machine Learning (DSML) Platforms Introduction
11.15.4 Hex Tech Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.15.5 Hex Tech Recent Development
11.16 DataCamp
11.16.1 DataCamp Company Details
11.16.2 DataCamp Business Overview
11.16.3 DataCamp Data Science and Machine Learning (DSML) Platforms Introduction
11.16.4 DataCamp Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.16.5 DataCamp Recent Development
11.17 Domo
11.17.1 Domo Company Details
11.17.2 Domo Business Overview
11.17.3 Domo Data Science and Machine Learning (DSML) Platforms Introduction
11.17.4 Domo Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.17.5 Domo Recent Development
11.18 Snowflake
11.18.1 Snowflake Company Details
11.18.2 Snowflake Business Overview
11.18.3 Snowflake Data Science and Machine Learning (DSML) Platforms Introduction
11.18.4 Snowflake Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
11.18.5 Snowflake Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
FEATURED COMPANIES
Developers
GOOGLE INC
Databricks
Saturn Cloud
Alteryx
Dataiku
DataRobot
AWS
MathWorks
Altair
IBM
SAS
Anaconda
DataCamp Limited
Domo
Snowflake
Deepnote
Posit Software
Hex Tech
List of Tables
 Table 1. Global Data Science and Machine Learning (DSML) Platforms Market Size Growth Rate by Type (US$ Million): 2020 VS 2024 VS 2031
 Table 2. Key Players of Cloud-based
 Table 3. Key Players of On-premises
 Table 4. Global Data Science and Machine Learning (DSML) Platforms Market Size Growth by Application (US$ Million): 2020 VS 2024 VS 2031
 Table 5. Global Data Science and Machine Learning (DSML) Platforms Market Size by Region (US$ Million): 2020 VS 2024 VS 2031
 Table 6. Global Data Science and Machine Learning (DSML) Platforms Market Size by Region (2020-2025) & (US$ Million)
 Table 7. Global Data Science and Machine Learning (DSML) Platforms Market Share by Region (2020-2025)
 Table 8. Global Data Science and Machine Learning (DSML) Platforms Forecasted Market Size by Region (2026-2031) & (US$ Million)
 Table 9. Global Data Science and Machine Learning (DSML) Platforms Market Share by Region (2026-2031)
 Table 10. Data Science and Machine Learning (DSML) Platforms Market Trends
 Table 11. Data Science and Machine Learning (DSML) Platforms Market Drivers
 Table 12. Data Science and Machine Learning (DSML) Platforms Market Challenges
 Table 13. Data Science and Machine Learning (DSML) Platforms Market Restraints
 Table 14. Global Data Science and Machine Learning (DSML) Platforms Revenue by Players (2020-2025) & (US$ Million)
 Table 15. Global Data Science and Machine Learning (DSML) Platforms Market Share by Players (2020-2025)
 Table 16. Global Top Data Science and Machine Learning (DSML) Platforms Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science and Machine Learning (DSML) Platforms as of 2024)
 Table 17. Ranking of Global Top Data Science and Machine Learning (DSML) Platforms Companies by Revenue (US$ Million) in 2024
 Table 18. Global 5 Largest Players Market Share by Data Science and Machine Learning (DSML) Platforms Revenue (CR5 and HHI) & (2020-2025)
 Table 19. Global Key Players of Data Science and Machine Learning (DSML) Platforms, Headquarters and Area Served
 Table 20. Global Key Players of Data Science and Machine Learning (DSML) Platforms, Product and Application
 Table 21. Global Key Players of Data Science and Machine Learning (DSML) Platforms, Date of Enter into This Industry
 Table 22. Mergers & Acquisitions, Expansion Plans
 Table 23. Global Data Science and Machine Learning (DSML) Platforms Market Size by Type (2020-2025) & (US$ Million)
 Table 24. Global Data Science and Machine Learning (DSML) Platforms Revenue Market Share by Type (2020-2025)
 Table 25. Global Data Science and Machine Learning (DSML) Platforms Forecasted Market Size by Type (2026-2031) & (US$ Million)
 Table 26. Global Data Science and Machine Learning (DSML) Platforms Revenue Market Share by Type (2026-2031)
 Table 27. Global Data Science and Machine Learning (DSML) Platforms Market Size by Application (2020-2025) & (US$ Million)
 Table 28. Global Data Science and Machine Learning (DSML) Platforms Revenue Market Share by Application (2020-2025)
 Table 29. Global Data Science and Machine Learning (DSML) Platforms Forecasted Market Size by Application (2026-2031) & (US$ Million)
 Table 30. Global Data Science and Machine Learning (DSML) Platforms Revenue Market Share by Application (2026-2031)
 Table 31. North America Data Science and Machine Learning (DSML) Platforms Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
 Table 32. North America Data Science and Machine Learning (DSML) Platforms Market Size by Country (2020-2025) & (US$ Million)
 Table 33. North America Data Science and Machine Learning (DSML) Platforms Market Size by Country (2026-2031) & (US$ Million)
 Table 34. Europe Data Science and Machine Learning (DSML) Platforms Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
 Table 35. Europe Data Science and Machine Learning (DSML) Platforms Market Size by Country (2020-2025) & (US$ Million)
 Table 36. Europe Data Science and Machine Learning (DSML) Platforms Market Size by Country (2026-2031) & (US$ Million)
 Table 37. Asia-Pacific Data Science and Machine Learning (DSML) Platforms Market Size Growth Rate by Region (US$ Million): 2020 VS 2024 VS 2031
 Table 38. Asia-Pacific Data Science and Machine Learning (DSML) Platforms Market Size by Region (2020-2025) & (US$ Million)
 Table 39. Asia-Pacific Data Science and Machine Learning (DSML) Platforms Market Size by Region (2026-2031) & (US$ Million)
 Table 40. Latin America Data Science and Machine Learning (DSML) Platforms Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
 Table 41. Latin America Data Science and Machine Learning (DSML) Platforms Market Size by Country (2020-2025) & (US$ Million)
 Table 42. Latin America Data Science and Machine Learning (DSML) Platforms Market Size by Country (2026-2031) & (US$ Million)
 Table 43. Middle East & Africa Data Science and Machine Learning (DSML) Platforms Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
 Table 44. Middle East & Africa Data Science and Machine Learning (DSML) Platforms Market Size by Country (2020-2025) & (US$ Million)
 Table 45. Middle East & Africa Data Science and Machine Learning (DSML) Platforms Market Size by Country (2026-2031) & (US$ Million)
 Table 46. Google Company Details
 Table 47. Google Business Overview
 Table 48. Google Data Science and Machine Learning (DSML) Platforms Product
 Table 49. Google Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 50. Google Recent Development
 Table 51. Databricks Company Details
 Table 52. Databricks Business Overview
 Table 53. Databricks Data Science and Machine Learning (DSML) Platforms Product
 Table 54. Databricks Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 55. Databricks Recent Development
 Table 56. Deepnote Company Details
 Table 57. Deepnote Business Overview
 Table 58. Deepnote Data Science and Machine Learning (DSML) Platforms Product
 Table 59. Deepnote Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 60. Deepnote Recent Development
 Table 61. Saturn Cloud Company Details
 Table 62. Saturn Cloud Business Overview
 Table 63. Saturn Cloud Data Science and Machine Learning (DSML) Platforms Product
 Table 64. Saturn Cloud Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 65. Saturn Cloud Recent Development
 Table 66. Alteryx Company Details
 Table 67. Alteryx Business Overview
 Table 68. Alteryx Data Science and Machine Learning (DSML) Platforms Product
 Table 69. Alteryx Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 70. Alteryx Recent Development
 Table 71. Dataiku Company Details
 Table 72. Dataiku Business Overview
 Table 73. Dataiku Data Science and Machine Learning (DSML) Platforms Product
 Table 74. Dataiku Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 75. Dataiku Recent Development
 Table 76. DataRobot Company Details
 Table 77. DataRobot Business Overview
 Table 78. DataRobot Data Science and Machine Learning (DSML) Platforms Product
 Table 79. DataRobot Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 80. DataRobot Recent Development
 Table 81. AWS Company Details
 Table 82. AWS Business Overview
 Table 83. AWS Data Science and Machine Learning (DSML) Platforms Product
 Table 84. AWS Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 85. AWS Recent Development
 Table 86. MathWorks Company Details
 Table 87. MathWorks Business Overview
 Table 88. MathWorks Data Science and Machine Learning (DSML) Platforms Product
 Table 89. MathWorks Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 90. MathWorks Recent Development
 Table 91. Altair Company Details
 Table 92. Altair Business Overview
 Table 93. Altair Data Science and Machine Learning (DSML) Platforms Product
 Table 94. Altair Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 95. Altair Recent Development
 Table 96. IBM Company Details
 Table 97. IBM Business Overview
 Table 98. IBM Data Science and Machine Learning (DSML) Platforms Product
 Table 99. IBM Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 100. IBM Recent Development
 Table 101. SAS Company Details
 Table 102. SAS Business Overview
 Table 103. SAS Data Science and Machine Learning (DSML) Platforms Product
 Table 104. SAS Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 105. SAS Recent Development
 Table 106. Anaconda Company Details
 Table 107. Anaconda Business Overview
 Table 108. Anaconda Data Science and Machine Learning (DSML) Platforms Product
 Table 109. Anaconda Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 110. Anaconda Recent Development
 Table 111. Posit Software Company Details
 Table 112. Posit Software Business Overview
 Table 113. Posit Software Data Science and Machine Learning (DSML) Platforms Product
 Table 114. Posit Software Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 115. Posit Software Recent Development
 Table 116. Hex Tech Company Details
 Table 117. Hex Tech Business Overview
 Table 118. Hex Tech Data Science and Machine Learning (DSML) Platforms Product
 Table 119. Hex Tech Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 120. Hex Tech Recent Development
 Table 121. DataCamp Company Details
 Table 122. DataCamp Business Overview
 Table 123. DataCamp Data Science and Machine Learning (DSML) Platforms Product
 Table 124. DataCamp Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 125. DataCamp Recent Development
 Table 126. Domo Company Details
 Table 127. Domo Business Overview
 Table 128. Domo Data Science and Machine Learning (DSML) Platforms Product
 Table 129. Domo Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 130. Domo Recent Development
 Table 131. Snowflake Company Details
 Table 132. Snowflake Business Overview
 Table 133. Snowflake Data Science and Machine Learning (DSML) Platforms Product
 Table 134. Snowflake Revenue in Data Science and Machine Learning (DSML) Platforms Business (2020-2025) & (US$ Million)
 Table 135. Snowflake 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
 Table 139. Authors List of This Report


List of Figures
 Figure 1. Data Science and Machine Learning (DSML) Platforms Picture
 Figure 2. Global Data Science and Machine Learning (DSML) Platforms Market Size Comparison by Type (2020-2031) & (US$ Million)
 Figure 3. Global Data Science and Machine Learning (DSML) Platforms Market Share by Type: 2024 VS 2031
 Figure 4. Cloud-based Features
 Figure 5. On-premises Features
 Figure 6. Global Data Science and Machine Learning (DSML) Platforms Market Size by Application (2020-2031) & (US$ Million)
 Figure 7. Global Data Science and Machine Learning (DSML) Platforms Market Share by Application: 2024 VS 2031
 Figure 8. BFSI Case Studies
 Figure 9. Healthcare and Life Science Case Studies
 Figure 10. Manufacturing Case Studies
 Figure 11. Media and Retail Case Studies
 Figure 12. Other Case Studies
 Figure 13. Data Science and Machine Learning (DSML) Platforms Report Years Considered
 Figure 14. Global Data Science and Machine Learning (DSML) Platforms Market Size (US$ Million), Year-over-Year: 2020-2031
 Figure 15. Global Data Science and Machine Learning (DSML) Platforms Market Size, (US$ Million), 2020 VS 2024 VS 2031
 Figure 16. Global Data Science and Machine Learning (DSML) Platforms Market Share by Region: 2024 VS 2031
 Figure 17. Global Data Science and Machine Learning (DSML) Platforms Market Share by Players in 2024
 Figure 18. Global Data Science and Machine Learning (DSML) Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
 Figure 19. The Top 10 and 5 Players Market Share by Data Science and Machine Learning (DSML) Platforms Revenue in 2024
 Figure 20. North America Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 21. North America Data Science and Machine Learning (DSML) Platforms Market Share by Country (2020-2031)
 Figure 22. United States Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 23. Canada Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 24. Europe Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 25. Europe Data Science and Machine Learning (DSML) Platforms Market Share by Country (2020-2031)
 Figure 26. Germany Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 27. France Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 28. U.K. Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 29. Italy Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 30. Russia Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 31. Nordic Countries Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 32. Asia-Pacific Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 33. Asia-Pacific Data Science and Machine Learning (DSML) Platforms Market Share by Region (2020-2031)
 Figure 34. China Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 35. Japan Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 36. South Korea Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 37. Southeast Asia Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 38. India Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 39. Australia Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 40. Latin America Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 41. Latin America Data Science and Machine Learning (DSML) Platforms Market Share by Country (2020-2031)
 Figure 42. Mexico Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 43. Brazil Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 44. Middle East & Africa Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 45. Middle East & Africa Data Science and Machine Learning (DSML) Platforms Market Share by Country (2020-2031)
 Figure 46. Turkey Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 47. Saudi Arabia Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 48. UAE Data Science and Machine Learning (DSML) Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 49. Google Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 50. Databricks Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 51. Deepnote Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 52. Saturn Cloud Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 53. Alteryx Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 54. Dataiku Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 55. DataRobot Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 56. AWS Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 57. MathWorks Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 58. Altair Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 59. IBM Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 60. SAS Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 61. Anaconda Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 62. Posit Software Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 63. Hex Tech Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 64. DataCamp Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 65. Domo Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 66. Snowflake Revenue Growth Rate in Data Science and Machine Learning (DSML) Platforms Business (2020-2025)
 Figure 67. Bottom-up and Top-down Approaches for This Report
 Figure 68. Data Triangulation
 Figure 69. Key Executives Interviewed
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