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Global Machine Learning (ML) Platforms Market Insights, Forecast to 2030
Published Date: December 2024
|
Report Code: QYRE-Auto-8F3996
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Global Machine Learning ML Platforms Market Insights and Forecast to 2028
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Global Machine Learning (ML) Platforms Market Insights, Forecast to 2030

Code: QYRE-Auto-8F3996
Report
December 2024
Pages:118
QYResearch
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES
FEATURED COMPANIES
Palantier
MathWorks
Alteryx
SAS
Databricks
Tibco Software
Dataiku
H2O.ai
IBM
Microsoft
GOOGLE INC
Knime
DataRobot
RapidMiner
Anaconda
Domino
Altair

Machine Learning (ML) Platforms Market Size

The global Machine Learning (ML) Platforms market is projected to grow from US$ 5512.8 million in 2024 to US$ 31360 million by 2030, at a Compound Annual Growth Rate (CAGR) of 33.6% during the forecast period.

Machine Learning (ML) Platforms Market

Machine Learning (ML) Platforms Market

Market Analysis and Insights: Global Machine Learning (ML) Platforms Market
The US & Canada market for Machine Learning (ML) Platforms is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Machine Learning (ML) Platforms is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The Europe market for Machine Learning (ML) Platforms is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The global key companies of Machine Learning (ML) Platforms include Palantier, MathWorks, Alteryx, SAS, Databricks, TIBCO Software, Dataiku, H2O.ai and IBM, etc. In 2023, the global top five players had a share approximately % in terms of revenue.
Machine Learning (ML) Platforms is widely used in various fields, such as Small and Medium Enterprises (SMEs) and Large Enterprises, etc. Small and Medium Enterprises (SMEs) provides greatest supports to the Machine Learning (ML) Platforms industry development. In 2023, global % revenue of Machine Learning (ML) Platforms went into Small and Medium Enterprises (SMEs) filed and the proportion will reach to % in 2030.
Report Covers:
This report presents an overview of global market for Machine Learning (ML) Platforms market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Machine Learning (ML) Platforms, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Machine Learning (ML) Platforms, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Machine Learning (ML) Platforms revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Machine Learning (ML) Platforms market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Machine Learning (ML) Platforms revenue, projected growth trends, production technology, application and end-user industry.
Market Segmentation

Scope of Machine Learning (ML) Platforms Market Report

Report Metric Details
Report Name Machine Learning (ML) Platforms Market
Accounted market size in 2024 US$ 5512.8 million
Forecasted market size in 2030 US$ 31360 million
CAGR 33.6
Base Year 2024
Forecasted years 2024 - 2030
Segment by Type
  • Cloud-based
  • On-premises
Segment by Application
  • Small and Medium Enterprises (SMEs)
  • Large Enterprises
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 Palantier, MathWorks, Alteryx, SAS, Databricks, TIBCO Software, Dataiku, H2O.ai, IBM, Microsoft, Google, KNIME, DataRobot, RapidMiner, Anaconda, Domino, Altair
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 (product 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: Revenue of Machine Learning (ML) Platforms in global and regional level. 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. 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 Machine Learning (ML) Platforms companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
  • Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
  • Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
  • Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
  • Chapter 8: China by Type, and by Application, revenue for each segment.
  • Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
  • Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
  • Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Machine Learning (ML) Platforms revenue, gross margin, and recent development, etc.
  • Chapter 12: Analyst's Viewpoints/Conclusions

FAQ for this report

How fast is Machine Learning (ML) Platforms Market growing?

Ans: The Machine Learning (ML) Platforms Market witnessing a CAGR of 33.6 during the forecast period 2024-2030.

What is the Machine Learning (ML) Platforms Market size in 2030?

Ans: The Machine Learning (ML) Platforms Market size in 2030 will be US$ 31360 million.

Who are the main players in the Machine Learning (ML) Platforms Market report?

Ans: The main players in the Machine Learning (ML) Platforms Market are Palantier, MathWorks, Alteryx, SAS, Databricks, TIBCO Software, Dataiku, H2O.ai, IBM, Microsoft, Google, KNIME, DataRobot, RapidMiner, Anaconda, Domino, Altair

What are the Application segmentation covered in the Machine Learning (ML) Platforms Market report?

Ans: The Applications covered in the Machine Learning (ML) Platforms Market report are Small and Medium Enterprises (SMEs), Large Enterprises

What are the Type segmentation covered in the Machine Learning (ML) Platforms Market report?

Ans: The Types covered in the Machine Learning (ML) 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 Machine Learning (ML) Platforms Market Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Machine Learning (ML) Platforms Market Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Small and Medium Enterprises (SMEs)
1.3.3 Large Enterprises
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning (ML) Platforms Market Perspective (2019-2030)
2.2 Global Machine Learning (ML) Platforms Growth Trends by Region
2.2.1 Machine Learning (ML) Platforms Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning (ML) Platforms Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning (ML) Platforms Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning (ML) Platforms Market Dynamics
2.3.1 Machine Learning (ML) Platforms Industry Trends
2.3.2 Machine Learning (ML) Platforms Market Drivers
2.3.3 Machine Learning (ML) Platforms Market Challenges
2.3.4 Machine Learning (ML) Platforms Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Machine Learning (ML) Platforms by Players
3.1.1 Global Machine Learning (ML) Platforms Revenue by Players (2019-2024)
3.1.2 Global Machine Learning (ML) Platforms Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning (ML) Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Machine Learning (ML) Platforms, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Machine Learning (ML) Platforms Market Concentration Ratio
3.4.1 Global Machine Learning (ML) Platforms Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning (ML) Platforms Revenue in 2023
3.5 Global Key Players of Machine Learning (ML) Platforms Head office and Area Served
3.6 Global Key Players of Machine Learning (ML) Platforms, Product and Application
3.7 Global Key Players of Machine Learning (ML) Platforms, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning (ML) Platforms Breakdown Data by Type
4.1 Global Machine Learning (ML) Platforms Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning (ML) Platforms Forecasted Market Size by Type (2025-2030)
5 Machine Learning (ML) Platforms Breakdown Data by Application
5.1 Global Machine Learning (ML) Platforms Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning (ML) Platforms Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning (ML) Platforms Market Size (2019-2030)
6.2 North America Machine Learning (ML) Platforms Market Size by Type
6.2.1 North America Machine Learning (ML) Platforms Market Size by Type (2019-2024)
6.2.2 North America Machine Learning (ML) Platforms Market Size by Type (2025-2030)
6.2.3 North America Machine Learning (ML) Platforms Market Share by Type (2019-2030)
6.3 North America Machine Learning (ML) Platforms Market Size by Application
6.3.1 North America Machine Learning (ML) Platforms Market Size by Application (2019-2024)
6.3.2 North America Machine Learning (ML) Platforms Market Size by Application (2025-2030)
6.3.3 North America Machine Learning (ML) Platforms Market Share by Application (2019-2030)
6.4 North America Machine Learning (ML) Platforms Market Size by Country
6.4.1 North America Machine Learning (ML) Platforms Market Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Machine Learning (ML) Platforms Market Size by Country (2019-2024)
6.4.3 North America Machine Learning (ML) Platforms Market Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Machine Learning (ML) Platforms Market Size (2019-2030)
7.2 Europe Machine Learning (ML) Platforms Market Size by Type
7.2.1 Europe Machine Learning (ML) Platforms Market Size by Type (2019-2024)
7.2.2 Europe Machine Learning (ML) Platforms Market Size by Type (2025-2030)
7.2.3 Europe Machine Learning (ML) Platforms Market Share by Type (2019-2030)
7.3 Europe Machine Learning (ML) Platforms Market Size by Application
7.3.1 Europe Machine Learning (ML) Platforms Market Size by Application (2019-2024)
7.3.2 Europe Machine Learning (ML) Platforms Market Size by Application (2025-2030)
7.3.3 Europe Machine Learning (ML) Platforms Market Share by Application (2019-2030)
7.4 Europe Machine Learning (ML) Platforms Market Size by Country
7.4.1 Europe Machine Learning (ML) Platforms Market Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Machine Learning (ML) Platforms Market Size by Country (2019-2024)
7.4.3 Europe Machine Learning (ML) Platforms Market Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Machine Learning (ML) Platforms Market Size (2019-2030)
8.2 China Machine Learning (ML) Platforms Market Size by Type
8.2.1 China Machine Learning (ML) Platforms Market Size by Type (2019-2024)
8.2.2 China Machine Learning (ML) Platforms Market Size by Type (2025-2030)
8.2.3 China Machine Learning (ML) Platforms Market Share by Type (2019-2030)
8.3 China Machine Learning (ML) Platforms Market Size by Application
8.3.1 China Machine Learning (ML) Platforms Market Size by Application (2019-2024)
8.3.2 China Machine Learning (ML) Platforms Market Size by Application (2025-2030)
8.3.3 China Machine Learning (ML) Platforms Market Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Machine Learning (ML) Platforms Market Size (2019-2030)
9.2 Asia Machine Learning (ML) Platforms Market Size by Type
9.2.1 Asia Machine Learning (ML) Platforms Market Size by Type (2019-2024)
9.2.2 Asia Machine Learning (ML) Platforms Market Size by Type (2025-2030)
9.2.3 Asia Machine Learning (ML) Platforms Market Share by Type (2019-2030)
9.3 Asia Machine Learning (ML) Platforms Market Size by Application
9.3.1 Asia Machine Learning (ML) Platforms Market Size by Application (2019-2024)
9.3.2 Asia Machine Learning (ML) Platforms Market Size by Application (2025-2030)
9.3.3 Asia Machine Learning (ML) Platforms Market Share by Application (2019-2030)
9.4 Asia Machine Learning (ML) Platforms Market Size by Region
9.4.1 Asia Machine Learning (ML) Platforms Market Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Machine Learning (ML) Platforms Market Size by Region (2019-2024)
9.4.3 Asia Machine Learning (ML) Platforms Market Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size (2019-2030)
10.2 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Type
10.2.1 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Application
10.3.1 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Country
10.4.1 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Palantier
11.1.1 Palantier Company Details
11.1.2 Palantier Business Overview
11.1.3 Palantier Machine Learning (ML) Platforms Introduction
11.1.4 Palantier Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.1.5 Palantier Recent Developments
11.2 MathWorks
11.2.1 MathWorks Company Details
11.2.2 MathWorks Business Overview
11.2.3 MathWorks Machine Learning (ML) Platforms Introduction
11.2.4 MathWorks Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.2.5 MathWorks Recent Developments
11.3 Alteryx
11.3.1 Alteryx Company Details
11.3.2 Alteryx Business Overview
11.3.3 Alteryx Machine Learning (ML) Platforms Introduction
11.3.4 Alteryx Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.3.5 Alteryx Recent Developments
11.4 SAS
11.4.1 SAS Company Details
11.4.2 SAS Business Overview
11.4.3 SAS Machine Learning (ML) Platforms Introduction
11.4.4 SAS Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.4.5 SAS Recent Developments
11.5 Databricks
11.5.1 Databricks Company Details
11.5.2 Databricks Business Overview
11.5.3 Databricks Machine Learning (ML) Platforms Introduction
11.5.4 Databricks Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.5.5 Databricks Recent Developments
11.6 TIBCO Software
11.6.1 TIBCO Software Company Details
11.6.2 TIBCO Software Business Overview
11.6.3 TIBCO Software Machine Learning (ML) Platforms Introduction
11.6.4 TIBCO Software Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.6.5 TIBCO Software Recent Developments
11.7 Dataiku
11.7.1 Dataiku Company Details
11.7.2 Dataiku Business Overview
11.7.3 Dataiku Machine Learning (ML) Platforms Introduction
11.7.4 Dataiku Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.7.5 Dataiku Recent Developments
11.8 H2O.ai
11.8.1 H2O.ai Company Details
11.8.2 H2O.ai Business Overview
11.8.3 H2O.ai Machine Learning (ML) Platforms Introduction
11.8.4 H2O.ai Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.8.5 H2O.ai Recent Developments
11.9 IBM
11.9.1 IBM Company Details
11.9.2 IBM Business Overview
11.9.3 IBM Machine Learning (ML) Platforms Introduction
11.9.4 IBM Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.9.5 IBM Recent Developments
11.10 Microsoft
11.10.1 Microsoft Company Details
11.10.2 Microsoft Business Overview
11.10.3 Microsoft Machine Learning (ML) Platforms Introduction
11.10.4 Microsoft Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.10.5 Microsoft Recent Developments
11.11 Google
11.11.1 Google Company Details
11.11.2 Google Business Overview
11.11.3 Google Machine Learning (ML) Platforms Introduction
11.11.4 Google Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.11.5 Google Recent Developments
11.12 KNIME
11.12.1 KNIME Company Details
11.12.2 KNIME Business Overview
11.12.3 KNIME Machine Learning (ML) Platforms Introduction
11.12.4 KNIME Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.12.5 KNIME Recent Developments
11.13 DataRobot
11.13.1 DataRobot Company Details
11.13.2 DataRobot Business Overview
11.13.3 DataRobot Machine Learning (ML) Platforms Introduction
11.13.4 DataRobot Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.13.5 DataRobot Recent Developments
11.14 RapidMiner
11.14.1 RapidMiner Company Details
11.14.2 RapidMiner Business Overview
11.14.3 RapidMiner Machine Learning (ML) Platforms Introduction
11.14.4 RapidMiner Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.14.5 RapidMiner Recent Developments
11.15 Anaconda
11.15.1 Anaconda Company Details
11.15.2 Anaconda Business Overview
11.15.3 Anaconda Machine Learning (ML) Platforms Introduction
11.15.4 Anaconda Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.15.5 Anaconda Recent Developments
11.16 Domino
11.16.1 Domino Company Details
11.16.2 Domino Business Overview
11.16.3 Domino Machine Learning (ML) Platforms Introduction
11.16.4 Domino Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.16.5 Domino Recent Developments
11.17 Altair
11.17.1 Altair Company Details
11.17.2 Altair Business Overview
11.17.3 Altair Machine Learning (ML) Platforms Introduction
11.17.4 Altair Revenue in Machine Learning (ML) Platforms Business (2019-2024)
11.17.5 Altair Recent Developments
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
FEATURED COMPANIES
Palantier
MathWorks
Alteryx
SAS
Databricks
Tibco Software
Dataiku
H2O.ai
IBM
Microsoft
GOOGLE INC
Knime
DataRobot
RapidMiner
Anaconda
Domino
Altair
List of Tables
    Table 1. Global Machine Learning (ML) Platforms Market Size Growth Rate by Type (US$ Million), 2019 VS 2023 VS 2030
    Table 2. Key Players of Cloud-based
    Table 3. Key Players of On-premises
    Table 4. Global Machine Learning (ML) Platforms Market Size Growth Rate by Application (US$ Million), 2019 VS 2023 VS 2030
    Table 5. Global Machine Learning (ML) Platforms Market Size Growth Rate (CAGR) by Region (US$ Million): 2019 VS 2023 VS 2030
    Table 6. Global Machine Learning (ML) Platforms Market Size by Region (2019-2024) & (US$ Million)
    Table 7. Global Machine Learning (ML) Platforms Market Share by Region (2019-2024)
    Table 8. Global Machine Learning (ML) Platforms Forecasted Market Size by Region (2025-2030) & (US$ Million)
    Table 9. Global Machine Learning (ML) Platforms Market Share by Region (2025-2030)
    Table 10. Machine Learning (ML) Platforms Market Trends
    Table 11. Machine Learning (ML) Platforms Market Drivers
    Table 12. Machine Learning (ML) Platforms Market Challenges
    Table 13. Machine Learning (ML) Platforms Market Restraints
    Table 14. Global Machine Learning (ML) Platforms Revenue by Players (2019-2024) & (US$ Million)
    Table 15. Global Machine Learning (ML) Platforms Revenue Share by Players (2019-2024)
    Table 16. Global Top Machine Learning (ML) Platforms by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Machine Learning (ML) Platforms as of 2023)
    Table 17. Global Machine Learning (ML) Platforms Industry Ranking 2022 VS 2023 VS 2024
    Table 18. Global 5 Largest Players Market Share by Machine Learning (ML) Platforms Revenue (CR5 and HHI) & (2019-2024)
    Table 19. Global Key Players of Machine Learning (ML) Platforms, Headquarters and Area Served
    Table 20. Global Key Players of Machine Learning (ML) Platforms, Product and Application
    Table 21. Global Key Players of Machine Learning (ML) Platforms, Product and Application
    Table 22. Mergers & Acquisitions, Expansion Plans
    Table 23. Global Machine Learning (ML) Platforms Market Size by Type (2019-2024) & (US$ Million)
    Table 24. Global Machine Learning (ML) Platforms Revenue Market Share by Type (2019-2024)
    Table 25. Global Machine Learning (ML) Platforms Forecasted Market Size by Type (2025-2030) & (US$ Million)
    Table 26. Global Machine Learning (ML) Platforms Revenue Market Share by Type (2025-2030)
    Table 27. Global Machine Learning (ML) Platforms Market Size by Application (2019-2024) & (US$ Million)
    Table 28. Global Machine Learning (ML) Platforms Revenue Share by Application (2019-2024)
    Table 29. Global Machine Learning (ML) Platforms Forecasted Market Size by Application (2025-2030) & (US$ Million)
    Table 30. Global Machine Learning (ML) Platforms Revenue Share by Application (2025-2030)
    Table 31. North America Machine Learning (ML) Platforms Market Size by Type (2019-2024) & (US$ Million)
    Table 32. North America Machine Learning (ML) Platforms Market Size by Type (2025-2030) & (US$ Million)
    Table 33. North America Machine Learning (ML) Platforms Market Size by Application (2019-2024) & (US$ Million)
    Table 34. North America Machine Learning (ML) Platforms Market Size by Application (2025-2030) & (US$ Million)
    Table 35. North America Machine Learning (ML) Platforms Growth Rate (CAGR) by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 36. North America Machine Learning (ML) Platforms Market Size by Country (2019-2024) & (US$ Million)
    Table 37. North America Machine Learning (ML) Platforms Market Size by Country (2025-2030) & (US$ Million)
    Table 38. Europe Machine Learning (ML) Platforms Market Size by Type (2019-2024) & (US$ Million)
    Table 39. Europe Machine Learning (ML) Platforms Market Size by Type (2025-2030) & (US$ Million)
    Table 40. Europe Machine Learning (ML) Platforms Market Size by Application (2019-2024) & (US$ Million)
    Table 41. Europe Machine Learning (ML) Platforms Market Size by Application (2025-2030) & (US$ Million)
    Table 42. Europe Machine Learning (ML) Platforms Growth Rate (CAGR) by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 43. Europe Machine Learning (ML) Platforms Market Size by Country (2019-2024) & (US$ Million)
    Table 44. Europe Machine Learning (ML) Platforms Market Size by Country (2025-2030) & (US$ Million)
    Table 45. China Machine Learning (ML) Platforms Market Size by Type (2019-2024) & (US$ Million)
    Table 46. China Machine Learning (ML) Platforms Market Size by Type (2025-2030) & (US$ Million)
    Table 47. China Machine Learning (ML) Platforms Market Size by Application (2019-2024) & (US$ Million)
    Table 48. China Machine Learning (ML) Platforms Market Size by Application (2025-2030) & (US$ Million)
    Table 49. Asia Machine Learning (ML) Platforms Market Size by Type (2019-2024) & (US$ Million)
    Table 50. Asia Machine Learning (ML) Platforms Market Size by Type (2025-2030) & (US$ Million)
    Table 51. Asia Machine Learning (ML) Platforms Market Size by Application (2019-2024) & (US$ Million)
    Table 52. Asia Machine Learning (ML) Platforms Market Size by Application (2025-2030) & (US$ Million)
    Table 53. Asia Machine Learning (ML) Platforms Growth Rate (CAGR) by Region (US$ Million): 2019 VS 2023 VS 2030
    Table 54. Asia Machine Learning (ML) Platforms Market Size by Region (2019-2024) & (US$ Million)
    Table 55. Asia Machine Learning (ML) Platforms Market Size by Region (2025-2030) & (US$ Million)
    Table 56. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Type (2019-2024) & (US$ Million)
    Table 57. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Type (2025-2030) & (US$ Million)
    Table 58. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Application (2019-2024) & (US$ Million)
    Table 59. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Application (2025-2030) & (US$ Million)
    Table 60. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Growth Rate (CAGR) by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 61. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Country (2019-2024) & (US$ Million)
    Table 62. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size by Country (2025-2030) & (US$ Million)
    Table 63. Palantier Company Details
    Table 64. Palantier Business Overview
    Table 65. Palantier Machine Learning (ML) Platforms Product
    Table 66. Palantier Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 67. Palantier Recent Developments
    Table 68. MathWorks Company Details
    Table 69. MathWorks Business Overview
    Table 70. MathWorks Machine Learning (ML) Platforms Product
    Table 71. MathWorks Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 72. MathWorks Recent Developments
    Table 73. Alteryx Company Details
    Table 74. Alteryx Business Overview
    Table 75. Alteryx Machine Learning (ML) Platforms Product
    Table 76. Alteryx Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 77. Alteryx Recent Developments
    Table 78. SAS Company Details
    Table 79. SAS Business Overview
    Table 80. SAS Machine Learning (ML) Platforms Product
    Table 81. SAS Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 82. SAS Recent Developments
    Table 83. Databricks Company Details
    Table 84. Databricks Business Overview
    Table 85. Databricks Machine Learning (ML) Platforms Product
    Table 86. Databricks Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 87. Databricks Recent Developments
    Table 88. TIBCO Software Company Details
    Table 89. TIBCO Software Business Overview
    Table 90. TIBCO Software Machine Learning (ML) Platforms Product
    Table 91. TIBCO Software Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 92. TIBCO Software Recent Developments
    Table 93. Dataiku Company Details
    Table 94. Dataiku Business Overview
    Table 95. Dataiku Machine Learning (ML) Platforms Product
    Table 96. Dataiku Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 97. Dataiku Recent Developments
    Table 98. H2O.ai Company Details
    Table 99. H2O.ai Business Overview
    Table 100. H2O.ai Machine Learning (ML) Platforms Product
    Table 101. H2O.ai Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 102. H2O.ai Recent Developments
    Table 103. IBM Company Details
    Table 104. IBM Business Overview
    Table 105. IBM Machine Learning (ML) Platforms Product
    Table 106. IBM Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 107. IBM Recent Developments
    Table 108. Microsoft Company Details
    Table 109. Microsoft Business Overview
    Table 110. Microsoft Machine Learning (ML) Platforms Product
    Table 111. Microsoft Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 112. Microsoft Recent Developments
    Table 113. Google Company Details
    Table 114. Google Business Overview
    Table 115. Google Machine Learning (ML) Platforms Product
    Table 116. Google Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 117. Google Recent Developments
    Table 118. KNIME Company Details
    Table 119. KNIME Business Overview
    Table 120. KNIME Machine Learning (ML) Platforms Product
    Table 121. KNIME Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 122. KNIME Recent Developments
    Table 123. DataRobot Company Details
    Table 124. DataRobot Business Overview
    Table 125. DataRobot Machine Learning (ML) Platforms Product
    Table 126. DataRobot Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 127. DataRobot Recent Developments
    Table 128. RapidMiner Company Details
    Table 129. RapidMiner Business Overview
    Table 130. RapidMiner Machine Learning (ML) Platforms Product
    Table 131. RapidMiner Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 132. RapidMiner Recent Developments
    Table 133. Anaconda Company Details
    Table 134. Anaconda Business Overview
    Table 135. Anaconda Machine Learning (ML) Platforms Product
    Table 136. Anaconda Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 137. Anaconda Recent Developments
    Table 138. Domino Company Details
    Table 139. Domino Business Overview
    Table 140. Domino Machine Learning (ML) Platforms Product
    Table 141. Domino Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 142. Domino Recent Developments
    Table 143. Altair Company Details
    Table 144. Altair Business Overview
    Table 145. Altair Machine Learning (ML) Platforms Product
    Table 146. Altair Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)
    Table 147. Altair Recent Developments
    Table 148. Research Programs/Design for This Report
    Table 149. Key Data Information from Secondary Sources
    Table 150. Key Data Information from Primary Sources
List of Figures
    Figure 1. Global Machine Learning (ML) Platforms Market Size Growth Rate by Type, 2019 VS 2023 VS 2030 (US$ Million)
    Figure 2. Global Machine Learning (ML) Platforms Market Share by Type: 2023 VS 2030
    Figure 3. Cloud-based Features
    Figure 4. On-premises Features
    Figure 5. Global Machine Learning (ML) Platforms Market Size Growth Rate by Application, 2019 VS 2023 VS 2030 (US$ Million)
    Figure 6. Global Machine Learning (ML) Platforms Market Share by Application: 2023 VS 2030
    Figure 7. Small and Medium Enterprises (SMEs) Case Studies
    Figure 8. Large Enterprises Case Studies
    Figure 9. Machine Learning (ML) Platforms Report Years Considered
    Figure 10. Global Machine Learning (ML) Platforms Market Size (US$ Million), Year-over-Year: 2019-2030
    Figure 11. Global Machine Learning (ML) Platforms Market Size, (US$ Million), 2019 VS 2023 VS 2030
    Figure 12. Global Machine Learning (ML) Platforms Market Share by Region: 2023 VS 2030
    Figure 13. Global Machine Learning (ML) Platforms Market Share by Players in 2023
    Figure 14. Global Top Machine Learning (ML) Platforms Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Machine Learning (ML) Platforms as of 2023)
    Figure 15. The Top 10 and 5 Players Market Share by Machine Learning (ML) Platforms Revenue in 2023
    Figure 16. North America Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 17. North America Machine Learning (ML) Platforms Market Share by Type (2019-2030)
    Figure 18. North America Machine Learning (ML) Platforms Market Share by Application (2019-2030)
    Figure 19. North America Machine Learning (ML) Platforms Market Share by Country (2019-2030)
    Figure 20. United States Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 21. Canada Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 22. Europe Machine Learning (ML) Platforms Market Size YoY (2019-2030) & (US$ Million)
    Figure 23. Europe Machine Learning (ML) Platforms Market Share by Type (2019-2030)
    Figure 24. Europe Machine Learning (ML) Platforms Market Share by Application (2019-2030)
    Figure 25. Europe Machine Learning (ML) Platforms Market Share by Country (2019-2030)
    Figure 26. Germany Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 27. France Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 28. U.K. Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 29. Italy Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 30. Russia Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 31. Nordic Countries Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 32. China Machine Learning (ML) Platforms Market Size YoY (2019-2030) & (US$ Million)
    Figure 33. China Machine Learning (ML) Platforms Market Share by Type (2019-2030)
    Figure 34. China Machine Learning (ML) Platforms Market Share by Application (2019-2030)
    Figure 35. Asia Machine Learning (ML) Platforms Market Size YoY (2019-2030) & (US$ Million)
    Figure 36. Asia Machine Learning (ML) Platforms Market Share by Type (2019-2030)
    Figure 37. Asia Machine Learning (ML) Platforms Market Share by Application (2019-2030)
    Figure 38. Asia Machine Learning (ML) Platforms Market Share by Region (2019-2030)
    Figure 39. Japan Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 40. South Korea Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 41. China Taiwan Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 42. Southeast Asia Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 43. India Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 44. Australia Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 45. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Size YoY (2019-2030) & (US$ Million)
    Figure 46. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Share by Type (2019-2030)
    Figure 47. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Share by Application (2019-2030)
    Figure 48. Middle East, Africa, and Latin America Machine Learning (ML) Platforms Market Share by Country (2019-2030)
    Figure 49. Brazil Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 50. Mexico Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 51. Turkey Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 52. Saudi Arabia Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 53. Israel Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 54. GCC Countries Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 55. Palantier Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 56. MathWorks Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 57. Alteryx Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 58. SAS Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 59. Databricks Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 60. TIBCO Software Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 61. Dataiku Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 62. H2O.ai Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 63. IBM Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 64. Microsoft Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 65. Google Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 66. KNIME Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 67. DataRobot Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 68. RapidMiner Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 69. Anaconda Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 70. Domino Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 71. Altair Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)
    Figure 72. Bottom-up and Top-down Approaches for This Report
    Figure 73. Data Triangulation
    Figure 74. Key Executives Interviewed
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