The global Machine Learning (ML) Platforms market was valued at US$ 3997.7 million in 2023 and is anticipated to reach US$ 31360 million by 2030, witnessing a CAGR of 33.6% during the forecast period 2024-2030.

Machine Learning (ML) Platforms Market

North American market for Machine Learning (ML) Platforms is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

Asia-Pacific market for Machine Learning (ML) Platforms is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The global market for Machine Learning (ML) Platforms in Small and Medium Enterprises (SMEs) is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The major global companies of Machine Learning (ML) Platforms include Palantier, MathWorks, Alteryx, SAS, Databricks, TIBCO Software, Dataiku, H2O.ai and IBM, etc. In 2023, 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 Machine Learning (ML) 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 Machine Learning (ML) Platforms.

Report Scope

The Machine Learning (ML) Platforms market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Machine Learning (ML) 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 Machine Learning (ML) Platforms companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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 Machine Learning (ML) Platforms Market Report

Report Metric	Details
Report Name	Machine Learning (ML) Platforms Market
Accounted market size in 2023	US$ 3997.7 million
Forecasted market size in 2030	US$ 31360 million
CAGR	33.6%
Base Year	2023
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 (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 Machine Learning (ML) 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 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 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

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 Growth by Application: 2019 VS 2023 VS 2030

1.3.2 Small and Medium Enterprises (SMEs)

1.3.3 Large Enterprises

1.4 Study Objectives

1.5 Years Considered

1.6 Years Considered

2 Global Growth Trends

2.1 Global Machine Learning (ML) Platforms Market Perspective (2019-2030)

2.2 Machine Learning (ML) Platforms Growth Trends by Region

2.2.1 Global 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 Top Machine Learning (ML) Platforms Players by Revenue

3.1.1 Global Top Machine Learning (ML) Platforms Players by Revenue (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 Players Covered: Ranking by Machine Learning (ML) Platforms Revenue

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 Machine Learning (ML) Platforms Key Players Head office and Area Served

3.6 Key Players Machine Learning (ML) Platforms Product Solution and Service

3.7 Date of Enter into Machine Learning (ML) Platforms Market

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 Growth Rate by Country: 2019 VS 2023 VS 2030

6.3 North America Machine Learning (ML) Platforms Market Size by Country (2019-2024)

6.4 North America Machine Learning (ML) Platforms Market Size by Country (2025-2030)

6.5 United States

6.6 Canada

7 Europe

7.1 Europe Machine Learning (ML) Platforms Market Size (2019-2030)

7.2 Europe Machine Learning (ML) Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030

7.3 Europe Machine Learning (ML) Platforms Market Size by Country (2019-2024)

7.4 Europe Machine Learning (ML) Platforms Market Size by Country (2025-2030)

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 Machine Learning (ML) Platforms Market Size (2019-2030)

8.2 Asia-Pacific Machine Learning (ML) Platforms Market Growth Rate by Region: 2019 VS 2023 VS 2030

8.3 Asia-Pacific Machine Learning (ML) Platforms Market Size by Region (2019-2024)

8.4 Asia-Pacific Machine Learning (ML) Platforms Market Size by Region (2025-2030)

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 Machine Learning (ML) Platforms Market Size (2019-2030)

9.2 Latin America Machine Learning (ML) Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030

9.3 Latin America Machine Learning (ML) Platforms Market Size by Country (2019-2024)

9.4 Latin America Machine Learning (ML) Platforms Market Size by Country (2025-2030)

9.5 Mexico

9.6 Brazil

10 Middle East & Africa

10.1 Middle East & Africa Machine Learning (ML) Platforms Market Size (2019-2030)

10.2 Middle East & Africa Machine Learning (ML) Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030

10.3 Middle East & Africa Machine Learning (ML) Platforms Market Size by Country (2019-2024)

10.4 Middle East & Africa Machine Learning (ML) Platforms Market Size by Country (2025-2030)

10.5 Turkey

10.6 Saudi Arabia

10.7 UAE

11 Key Players Profiles

11.1 Palantier

11.1.1 Palantier Company Detail

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 Development

11.2 MathWorks

11.2.1 MathWorks Company Detail

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 Development

11.3 Alteryx

11.3.1 Alteryx Company Detail

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 Development

11.4 SAS

11.4.1 SAS Company Detail

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 Development

11.5 Databricks

11.5.1 Databricks Company Detail

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 Development

11.6 TIBCO Software

11.6.1 TIBCO Software Company Detail

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 Development

11.7 Dataiku

11.7.1 Dataiku Company Detail

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 Development

11.8 H2O.ai

11.8.1 H2O.ai Company Detail

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 Development

11.9 IBM

11.9.1 IBM Company Detail

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 Development

11.10 Microsoft

11.10.1 Microsoft Company Detail

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 Development

11.11 Google

11.11.1 Google Company Detail

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 Development

11.12 KNIME

11.12.1 KNIME Company Detail

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 Development

11.13 DataRobot

11.13.1 DataRobot Company Detail

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 Development

11.14 RapidMiner

11.14.1 RapidMiner Company Detail

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 Development

11.15 Anaconda

11.15.1 Anaconda Company Detail

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 Development

11.16 Domino

11.16.1 Domino Company Detail

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 Development

11.17 Altair

11.17.1 Altair Company Detail

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 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

FEATURED COMPANIES

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 by Application (US$ Million): 2019 VS 2023 VS 2030

Table 5. Global Machine Learning (ML) Platforms Market Size 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 Market Share by Players (2019-2024)

Table 16. 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)

Table 17. Ranking of Global Top Machine Learning (ML) Platforms Companies by Revenue (US$ Million) in 2023

Table 18. Global 5 Largest Players Market Share by Machine Learning (ML) Platforms Revenue (CR5 and HHI) & (2019-2024)

Table 19. Key Players Headquarters and Area Served

Table 20. Key Players Machine Learning (ML) Platforms Product Solution and Service

Table 21. Date of Enter into Machine Learning (ML) Platforms Market

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 Market 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 Market Share by Application (2025-2030)

Table 31. North America Machine Learning (ML) Platforms Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030

Table 32. North America Machine Learning (ML) Platforms Market Size by Country (2019-2024) & (US$ Million)

Table 33. North America Machine Learning (ML) Platforms Market Size by Country (2025-2030) & (US$ Million)

Table 34. Europe Machine Learning (ML) Platforms Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030

Table 35. Europe Machine Learning (ML) Platforms Market Size by Country (2019-2024) & (US$ Million)

Table 36. Europe Machine Learning (ML) Platforms Market Size by Country (2025-2030) & (US$ Million)

Table 37. Asia-Pacific Machine Learning (ML) Platforms Market Size Growth Rate by Region (US$ Million): 2019 VS 2023 VS 2030

Table 38. Asia-Pacific Machine Learning (ML) Platforms Market Size by Region (2019-2024) & (US$ Million)

Table 39. Asia-Pacific Machine Learning (ML) Platforms Market Size by Region (2025-2030) & (US$ Million)

Table 40. Latin America Machine Learning (ML) Platforms Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030

Table 41. Latin America Machine Learning (ML) Platforms Market Size by Country (2019-2024) & (US$ Million)

Table 42. Latin America Machine Learning (ML) Platforms Market Size by Country (2025-2030) & (US$ Million)

Table 43. Middle East & Africa Machine Learning (ML) Platforms Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030

Table 44. Middle East & Africa Machine Learning (ML) Platforms Market Size by Country (2019-2024) & (US$ Million)

Table 45. Middle East & Africa Machine Learning (ML) Platforms Market Size by Country (2025-2030) & (US$ Million)

Table 46. Palantier Company Detail

Table 47. Palantier Business Overview

Table 48. Palantier Machine Learning (ML) Platforms Product

Table 49. Palantier Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 50. Palantier Recent Development

Table 51. MathWorks Company Detail

Table 52. MathWorks Business Overview

Table 53. MathWorks Machine Learning (ML) Platforms Product

Table 54. MathWorks Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 55. MathWorks Recent Development

Table 56. Alteryx Company Detail

Table 57. Alteryx Business Overview

Table 58. Alteryx Machine Learning (ML) Platforms Product

Table 59. Alteryx Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 60. Alteryx Recent Development

Table 61. SAS Company Detail

Table 62. SAS Business Overview

Table 63. SAS Machine Learning (ML) Platforms Product

Table 64. SAS Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 65. SAS Recent Development

Table 66. Databricks Company Detail

Table 67. Databricks Business Overview

Table 68. Databricks Machine Learning (ML) Platforms Product

Table 69. Databricks Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 70. Databricks Recent Development

Table 71. TIBCO Software Company Detail

Table 72. TIBCO Software Business Overview

Table 73. TIBCO Software Machine Learning (ML) Platforms Product

Table 74. TIBCO Software Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 75. TIBCO Software Recent Development

Table 76. Dataiku Company Detail

Table 77. Dataiku Business Overview

Table 78. Dataiku Machine Learning (ML) Platforms Product

Table 79. Dataiku Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 80. Dataiku Recent Development

Table 81. H2O.ai Company Detail

Table 82. H2O.ai Business Overview

Table 83. H2O.ai Machine Learning (ML) Platforms Product

Table 84. H2O.ai Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 85. H2O.ai Recent Development

Table 86. IBM Company Detail

Table 87. IBM Business Overview

Table 88. IBM Machine Learning (ML) Platforms Product

Table 89. IBM Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 90. IBM Recent Development

Table 91. Microsoft Company Detail

Table 92. Microsoft Business Overview

Table 93. Microsoft Machine Learning (ML) Platforms Product

Table 94. Microsoft Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 95. Microsoft Recent Development

Table 96. Google Company Detail

Table 97. Google Business Overview

Table 98. Google Machine Learning (ML) Platforms Product

Table 99. Google Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 100. Google Recent Development

Table 101. KNIME Company Detail

Table 102. KNIME Business Overview

Table 103. KNIME Machine Learning (ML) Platforms Product

Table 104. KNIME Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 105. KNIME Recent Development

Table 106. DataRobot Company Detail

Table 107. DataRobot Business Overview

Table 108. DataRobot Machine Learning (ML) Platforms Product

Table 109. DataRobot Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 110. DataRobot Recent Development

Table 111. RapidMiner Company Detail

Table 112. RapidMiner Business Overview

Table 113. RapidMiner Machine Learning (ML) Platforms Product

Table 114. RapidMiner Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 115. RapidMiner Recent Development

Table 116. Anaconda Company Detail

Table 117. Anaconda Business Overview

Table 118. Anaconda Machine Learning (ML) Platforms Product

Table 119. Anaconda Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 120. Anaconda Recent Development

Table 121. Domino Company Detail

Table 122. Domino Business Overview

Table 123. Domino Machine Learning (ML) Platforms Product

Table 124. Domino Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 125. Domino Recent Development

Table 126. Altair Company Detail

Table 127. Altair Business Overview

Table 128. Altair Machine Learning (ML) Platforms Product

Table 129. Altair Revenue in Machine Learning (ML) Platforms Business (2019-2024) & (US$ Million)

Table 130. Altair Recent Development

Table 131. Research Programs/Design for This Report

Table 132. Key Data Information from Secondary Sources

Table 133. Key Data Information from Primary Sources

List of Figures

Figure 1. Global Machine Learning (ML) Platforms Market Size Comparison by Type (2024-2030) & (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 Comparison by Application (2024-2030) & (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 Country (2019-2030)

Figure 18. United States Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 19. Canada Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 20. Europe Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 21. Europe Machine Learning (ML) Platforms Market Share by Country (2019-2030)

Figure 22. Germany Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 23. France Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 24. U.K. Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 25. Italy Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 26. Russia Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 27. Nordic Countries Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 28. Asia-Pacific Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 29. Asia-Pacific Machine Learning (ML) Platforms Market Share by Region (2019-2030)

Figure 30. China Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 31. Japan Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 32. South Korea Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 33. Southeast Asia Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 34. India Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 35. Australia Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 36. Latin America Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 37. Latin America Machine Learning (ML) Platforms Market Share by Country (2019-2030)

Figure 38. Mexico Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 39. Brazil Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 40. Middle East & Africa Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 41. Middle East & Africa Machine Learning (ML) Platforms Market Share by Country (2019-2030)

Figure 42. Turkey Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 43. Saudi Arabia Machine Learning (ML) Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 44. Palantier Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 45. MathWorks Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 46. Alteryx Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 47. SAS Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 48. Databricks Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 49. TIBCO Software Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 50. Dataiku Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 51. H2O.ai Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 52. IBM Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 53. Microsoft Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 54. Google Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 55. KNIME Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 56. DataRobot Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 57. RapidMiner Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 58. Anaconda Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 59. Domino Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 60. Altair Revenue Growth Rate in Machine Learning (ML) Platforms Business (2019-2024)

Figure 61. Bottom-up and Top-down Approaches for This Report

Figure 62. Data Triangulation

Figure 63. Key Executives Interviewed

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