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Published Date: 2025-03-26 | Pages: 91 | Tables: 93 | New Technology
The global market for No-Code Machine Learning Platforms was valued at US$ 923 million in the year 2024 and is projected to reach a revised size of US$ 1640 million by 2031, growing at a CAGR of 8.7% during the forecast period.
No-Code Machine Learning Platforms are user-friendly software tools that enable individuals, even without technical expertise, to build, deploy, and manage machine learning models. These platforms provide intuitive interfaces with drag-and-drop features, pre-built algorithms, and automated data preprocessing, allowing users to easily create models for tasks like prediction and data analysis. By eliminating the need for coding, these platforms make machine learning accessible to a broader audience, empowering businesses to leverage advanced data-driven insights and automation without requiring specialized skills.
North American market for No-Code Machine Learning 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 No-Code Machine Learning 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 No-Code Machine Learning Platforms in Healthcare 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 No-Code Machine Learning Platforms include Google, Microsoft, DataRobot, H2O.ai, AWS, RapidMiner, Alteryx, BigML, Levity, MonkeyLearn, 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 No-Code Machine Learning Platforms, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding No-Code Machine Learning Platforms.
The No-Code Machine Learning 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 No-Code Machine Learning Platforms market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the No-Code Machine Learning Platforms companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Google
Microsoft
DataRobot
H2O.ai
AWS
RapidMiner
Alteryx
BigML
Levity
MonkeyLearn
Runway ML
Peltarion
Slyce
TIBCO
Zest AI
Weka.io
Segment by Type
Automated Machine Learning (AutoML)
Data Preparation & Preprocessing
Model Deployment & Management
Others
Segment by Application
Healthcare
BFSI
IT & Telecom
Retail & E-commerce
Energy & Utilities
Media & Entertainment
Education
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
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 No-Code Machine Learning 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.
Research Methodology
The research methodology employed has been subjected by numerous procedures in order to guarantee the quality and accuracy of the data contained within the reports. The analysts are employed full-time and received more than six months training to satisfy the standard of our company. Our methodology can be divided into five stages:
★Stage 1 SECONDARY RESEARCH
The research team first collaborates with magazines, trade associations and administrative departments in the research field. The information provided by our internal documentation service is helpful for our further research. Our team has a wealth of experience and knowledge, and can effectively extract accurate information from existing resources.
★Stage 2 PRIMARY RESEARCH:INTERVIEWS WITH TRADE SOURCES
After the first stage, the research team conducts a large number of face-to-face or telephone interviews with representative companies working in the research field. Analysts are trying to have an opportunity to talk to leading companies and small companies in the field. Upstream suppliers, manufacturers, distributors, importers, installers, wholesalers and consumers were included in the interview. The data collected during the interview were then carefully examined and compared with the secondary study.
★Stage 3 ANALYSIS OF THE GATHERED DATA
The analysis team examines and synthesizes the data collected in the first two stages. In order to validate the data, a second round of interviews can be conducted.
★Stage 4 QUANTITATIVE DATA
The quantitative data such as market estimates, production and capacity of manufacturer, market forecasts and investment feasibility is provided by our company. The data is based on the estimates obtained during stage 3.
★Stage 5 QUALITY CONTROL
Before publishing, each report undergoes a rigorous review and editing process, which is done by the experience management team to ensure the reliability of the published data. Every analyst on the research team receives support and continuous training as part of our internal quality process.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global No-Code Machine Learning Platforms Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Automated Machine Learning (AutoML)
1.2.3 Data Preparation & Preprocessing
1.2.4 Model Deployment & Management
1.2.5 Others
1.3 Market by Application
1.3.1 Global No-Code Machine Learning Platforms Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Healthcare
1.3.3 BFSI
1.3.4 IT & Telecom
1.3.5 Retail & E-commerce
1.3.6 Energy & Utilities
1.3.7 Media & Entertainment
1.3.8 Education
1.3.9 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global No-Code Machine Learning Platforms Market Perspective (2020-2031)
2.2 Global No-Code Machine Learning Platforms Growth Trends by Region
2.2.1 Global No-Code Machine Learning Platforms Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 No-Code Machine Learning Platforms Historic Market Size by Region (2020-2025)
2.2.3 No-Code Machine Learning Platforms Forecasted Market Size by Region (2026-2031)
2.3 No-Code Machine Learning Platforms Market Dynamics
2.3.1 No-Code Machine Learning Platforms Industry Trends
2.3.2 No-Code Machine Learning Platforms Market Drivers
2.3.3 No-Code Machine Learning Platforms Market Challenges
2.3.4 No-Code Machine Learning Platforms Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top No-Code Machine Learning Platforms Players by Revenue
3.1.1 Global Top No-Code Machine Learning Platforms Players by Revenue (2020-2025)
3.1.2 Global No-Code Machine Learning Platforms Revenue Market Share by Players (2020-2025)
3.2 Global Top No-Code Machine Learning 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 No-Code Machine Learning Platforms Revenue
3.4 Global No-Code Machine Learning Platforms Market Concentration Ratio
3.4.1 Global No-Code Machine Learning Platforms Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by No-Code Machine Learning Platforms Revenue in 2024
3.5 Global Key Players of No-Code Machine Learning Platforms Head office and Area Served
3.6 Global Key Players of No-Code Machine Learning Platforms, Product and Application
3.7 Global Key Players of No-Code Machine Learning Platforms, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 No-Code Machine Learning Platforms Breakdown Data by Type
4.1 Global No-Code Machine Learning Platforms Historic Market Size by Type (2020-2025)
4.2 Global No-Code Machine Learning Platforms Forecasted Market Size by Type (2026-2031)
5 No-Code Machine Learning Platforms Breakdown Data by Application
5.1 Global No-Code Machine Learning Platforms Historic Market Size by Application (2020-2025)
5.2 Global No-Code Machine Learning Platforms Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America No-Code Machine Learning Platforms Market Size (2020-2031)
6.2 North America No-Code Machine Learning Platforms Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America No-Code Machine Learning Platforms Market Size by Country (2020-2025)
6.4 North America No-Code Machine Learning Platforms Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe No-Code Machine Learning Platforms Market Size (2020-2031)
7.2 Europe No-Code Machine Learning Platforms Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe No-Code Machine Learning Platforms Market Size by Country (2020-2025)
7.4 Europe No-Code Machine Learning 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 No-Code Machine Learning Platforms Market Size (2020-2031)
8.2 Asia-Pacific No-Code Machine Learning Platforms Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific No-Code Machine Learning Platforms Market Size by Region (2020-2025)
8.4 Asia-Pacific No-Code Machine Learning 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 No-Code Machine Learning Platforms Market Size (2020-2031)
9.2 Latin America No-Code Machine Learning Platforms Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America No-Code Machine Learning Platforms Market Size by Country (2020-2025)
9.4 Latin America No-Code Machine Learning Platforms Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa No-Code Machine Learning Platforms Market Size (2020-2031)
10.2 Middle East & Africa No-Code Machine Learning Platforms Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa No-Code Machine Learning Platforms Market Size by Country (2020-2025)
10.4 Middle East & Africa No-Code Machine Learning 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 No-Code Machine Learning Platforms Introduction
11.1.4 Google Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.1.5 Google Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Details
11.2.2 Microsoft Business Overview
11.2.3 Microsoft No-Code Machine Learning Platforms Introduction
11.2.4 Microsoft Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.2.5 Microsoft Recent Development
11.3 DataRobot
11.3.1 DataRobot Company Details
11.3.2 DataRobot Business Overview
11.3.3 DataRobot No-Code Machine Learning Platforms Introduction
11.3.4 DataRobot Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.3.5 DataRobot Recent Development
11.4 H2O.ai
11.4.1 H2O.ai Company Details
11.4.2 H2O.ai Business Overview
11.4.3 H2O.ai No-Code Machine Learning Platforms Introduction
11.4.4 H2O.ai Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.4.5 H2O.ai Recent Development
11.5 AWS
11.5.1 AWS Company Details
11.5.2 AWS Business Overview
11.5.3 AWS No-Code Machine Learning Platforms Introduction
11.5.4 AWS Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.5.5 AWS Recent Development
11.6 RapidMiner
11.6.1 RapidMiner Company Details
11.6.2 RapidMiner Business Overview
11.6.3 RapidMiner No-Code Machine Learning Platforms Introduction
11.6.4 RapidMiner Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.6.5 RapidMiner Recent Development
11.7 Alteryx
11.7.1 Alteryx Company Details
11.7.2 Alteryx Business Overview
11.7.3 Alteryx No-Code Machine Learning Platforms Introduction
11.7.4 Alteryx Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.7.5 Alteryx Recent Development
11.8 BigML
11.8.1 BigML Company Details
11.8.2 BigML Business Overview
11.8.3 BigML No-Code Machine Learning Platforms Introduction
11.8.4 BigML Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.8.5 BigML Recent Development
11.9 Levity
11.9.1 Levity Company Details
11.9.2 Levity Business Overview
11.9.3 Levity No-Code Machine Learning Platforms Introduction
11.9.4 Levity Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.9.5 Levity Recent Development
11.10 MonkeyLearn
11.10.1 MonkeyLearn Company Details
11.10.2 MonkeyLearn Business Overview
11.10.3 MonkeyLearn No-Code Machine Learning Platforms Introduction
11.10.4 MonkeyLearn Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.10.5 MonkeyLearn Recent Development
11.11 Runway ML
11.11.1 Runway ML Company Details
11.11.2 Runway ML Business Overview
11.11.3 Runway ML No-Code Machine Learning Platforms Introduction
11.11.4 Runway ML Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.11.5 Runway ML Recent Development
11.12 Peltarion
11.12.1 Peltarion Company Details
11.12.2 Peltarion Business Overview
11.12.3 Peltarion No-Code Machine Learning Platforms Introduction
11.12.4 Peltarion Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.12.5 Peltarion Recent Development
11.13 Slyce
11.13.1 Slyce Company Details
11.13.2 Slyce Business Overview
11.13.3 Slyce No-Code Machine Learning Platforms Introduction
11.13.4 Slyce Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.13.5 Slyce Recent Development
11.14 TIBCO
11.14.1 TIBCO Company Details
11.14.2 TIBCO Business Overview
11.14.3 TIBCO No-Code Machine Learning Platforms Introduction
11.14.4 TIBCO Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.14.5 TIBCO Recent Development
11.15 Zest AI
11.15.1 Zest AI Company Details
11.15.2 Zest AI Business Overview
11.15.3 Zest AI No-Code Machine Learning Platforms Introduction
11.15.4 Zest AI Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.15.5 Zest AI Recent Development
11.16 Weka.io
11.16.1 Weka.io Company Details
11.16.2 Weka.io Business Overview
11.16.3 Weka.io No-Code Machine Learning Platforms Introduction
11.16.4 Weka.io Revenue in No-Code Machine Learning Platforms Business (2020-2025)
11.16.5 Weka.io 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
List of Tables
Table 1. Global No-Code Machine Learning Platforms Market Size Growth Rate by Type (US$ Million): 2020 VS 2024 VS 2031
Table 2. Key Players of Automated Machine Learning (AutoML)
Table 3. Key Players of Data Preparation & Preprocessing
Table 4. Key Players of Model Deployment & Management
Table 5. Key Players of Others
Table 6. Global No-Code Machine Learning Platforms Market Size Growth by Application (US$ Million): 2020 VS 2024 VS 2031
Table 7. Global No-Code Machine Learning Platforms Market Size by Region (US$ Million): 2020 VS 2024 VS 2031
Table 8. Global No-Code Machine Learning Platforms Market Size by Region (2020-2025) & (US$ Million)
Table 9. Global No-Code Machine Learning Platforms Market Share by Region (2020-2025)
Table 10. Global No-Code Machine Learning Platforms Forecasted Market Size by Region (2026-2031) & (US$ Million)
Table 11. Global No-Code Machine Learning Platforms Market Share by Region (2026-2031)
Table 12. No-Code Machine Learning Platforms Market Trends
Table 13. No-Code Machine Learning Platforms Market Drivers
Table 14. No-Code Machine Learning Platforms Market Challenges
Table 15. No-Code Machine Learning Platforms Market Restraints
Table 16. Global No-Code Machine Learning Platforms Revenue by Players (2020-2025) & (US$ Million)
Table 17. Global No-Code Machine Learning Platforms Market Share by Players (2020-2025)
Table 18. Global Top No-Code Machine Learning Platforms Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in No-Code Machine Learning Platforms as of 2024)
Table 19. Ranking of Global Top No-Code Machine Learning Platforms Companies by Revenue (US$ Million) in 2024
Table 20. Global 5 Largest Players Market Share by No-Code Machine Learning Platforms Revenue (CR5 and HHI) & (2020-2025)
Table 21. Global Key Players of No-Code Machine Learning Platforms, Headquarters and Area Served
Table 22. Global Key Players of No-Code Machine Learning Platforms, Product and Application
Table 23. Global Key Players of No-Code Machine Learning Platforms, Date of Enter into This Industry
Table 24. Mergers & Acquisitions, Expansion Plans
Table 25. Global No-Code Machine Learning Platforms Market Size by Type (2020-2025) & (US$ Million)
Table 26. Global No-Code Machine Learning Platforms Revenue Market Share by Type (2020-2025)
Table 27. Global No-Code Machine Learning Platforms Forecasted Market Size by Type (2026-2031) & (US$ Million)
Table 28. Global No-Code Machine Learning Platforms Revenue Market Share by Type (2026-2031)
Table 29. Global No-Code Machine Learning Platforms Market Size by Application (2020-2025) & (US$ Million)
Table 30. Global No-Code Machine Learning Platforms Revenue Market Share by Application (2020-2025)
Table 31. Global No-Code Machine Learning Platforms Forecasted Market Size by Application (2026-2031) & (US$ Million)
Table 32. Global No-Code Machine Learning Platforms Revenue Market Share by Application (2026-2031)
Table 33. North America No-Code Machine Learning Platforms Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
Table 34. North America No-Code Machine Learning Platforms Market Size by Country (2020-2025) & (US$ Million)
Table 35. North America No-Code Machine Learning Platforms Market Size by Country (2026-2031) & (US$ Million)
Table 36. Europe No-Code Machine Learning Platforms Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
Table 37. Europe No-Code Machine Learning Platforms Market Size by Country (2020-2025) & (US$ Million)
Table 38. Europe No-Code Machine Learning Platforms Market Size by Country (2026-2031) & (US$ Million)
Table 39. Asia-Pacific No-Code Machine Learning Platforms Market Size Growth Rate by Region (US$ Million): 2020 VS 2024 VS 2031
Table 40. Asia-Pacific No-Code Machine Learning Platforms Market Size by Region (2020-2025) & (US$ Million)
Table 41. Asia-Pacific No-Code Machine Learning Platforms Market Size by Region (2026-2031) & (US$ Million)
Table 42. Latin America No-Code Machine Learning Platforms Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
Table 43. Latin America No-Code Machine Learning Platforms Market Size by Country (2020-2025) & (US$ Million)
Table 44. Latin America No-Code Machine Learning Platforms Market Size by Country (2026-2031) & (US$ Million)
Table 45. Middle East & Africa No-Code Machine Learning Platforms Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
Table 46. Middle East & Africa No-Code Machine Learning Platforms Market Size by Country (2020-2025) & (US$ Million)
Table 47. Middle East & Africa No-Code Machine Learning Platforms Market Size by Country (2026-2031) & (US$ Million)
Table 48. Google Company Details
Table 49. Google Business Overview
Table 50. Google No-Code Machine Learning Platforms Product
Table 51. Google Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 52. Google Recent Development
Table 53. Microsoft Company Details
Table 54. Microsoft Business Overview
Table 55. Microsoft No-Code Machine Learning Platforms Product
Table 56. Microsoft Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 57. Microsoft Recent Development
Table 58. DataRobot Company Details
Table 59. DataRobot Business Overview
Table 60. DataRobot No-Code Machine Learning Platforms Product
Table 61. DataRobot Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 62. DataRobot Recent Development
Table 63. H2O.ai Company Details
Table 64. H2O.ai Business Overview
Table 65. H2O.ai No-Code Machine Learning Platforms Product
Table 66. H2O.ai Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 67. H2O.ai Recent Development
Table 68. AWS Company Details
Table 69. AWS Business Overview
Table 70. AWS No-Code Machine Learning Platforms Product
Table 71. AWS Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 72. AWS Recent Development
Table 73. RapidMiner Company Details
Table 74. RapidMiner Business Overview
Table 75. RapidMiner No-Code Machine Learning Platforms Product
Table 76. RapidMiner Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 77. RapidMiner Recent Development
Table 78. Alteryx Company Details
Table 79. Alteryx Business Overview
Table 80. Alteryx No-Code Machine Learning Platforms Product
Table 81. Alteryx Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 82. Alteryx Recent Development
Table 83. BigML Company Details
Table 84. BigML Business Overview
Table 85. BigML No-Code Machine Learning Platforms Product
Table 86. BigML Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 87. BigML Recent Development
Table 88. Levity Company Details
Table 89. Levity Business Overview
Table 90. Levity No-Code Machine Learning Platforms Product
Table 91. Levity Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 92. Levity Recent Development
Table 93. MonkeyLearn Company Details
Table 94. MonkeyLearn Business Overview
Table 95. MonkeyLearn No-Code Machine Learning Platforms Product
Table 96. MonkeyLearn Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 97. MonkeyLearn Recent Development
Table 98. Runway ML Company Details
Table 99. Runway ML Business Overview
Table 100. Runway ML No-Code Machine Learning Platforms Product
Table 101. Runway ML Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 102. Runway ML Recent Development
Table 103. Peltarion Company Details
Table 104. Peltarion Business Overview
Table 105. Peltarion No-Code Machine Learning Platforms Product
Table 106. Peltarion Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 107. Peltarion Recent Development
Table 108. Slyce Company Details
Table 109. Slyce Business Overview
Table 110. Slyce No-Code Machine Learning Platforms Product
Table 111. Slyce Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 112. Slyce Recent Development
Table 113. TIBCO Company Details
Table 114. TIBCO Business Overview
Table 115. TIBCO No-Code Machine Learning Platforms Product
Table 116. TIBCO Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 117. TIBCO Recent Development
Table 118. Zest AI Company Details
Table 119. Zest AI Business Overview
Table 120. Zest AI No-Code Machine Learning Platforms Product
Table 121. Zest AI Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 122. Zest AI Recent Development
Table 123. Weka.io Company Details
Table 124. Weka.io Business Overview
Table 125. Weka.io No-Code Machine Learning Platforms Product
Table 126. Weka.io Revenue in No-Code Machine Learning Platforms Business (2020-2025) & (US$ Million)
Table 127. Weka.io Recent Development
Table 128. Research Programs/Design for This Report
Table 129. Key Data Information from Secondary Sources
Table 130. Key Data Information from Primary Sources
Table 131. Authors List of This Report
List of Figures
Figure 1. No-Code Machine Learning Platforms Picture
Figure 2. Global No-Code Machine Learning Platforms Market Size Comparison by Type (2020-2031) & (US$ Million)
Figure 3. Global No-Code Machine Learning Platforms Market Share by Type: 2024 VS 2031
Figure 4. Automated Machine Learning (AutoML) Features
Figure 5. Data Preparation & Preprocessing Features
Figure 6. Model Deployment & Management Features
Figure 7. Others Features
Figure 8. Global No-Code Machine Learning Platforms Market Size by Application (2020-2031) & (US$ Million)
Figure 9. Global No-Code Machine Learning Platforms Market Share by Application: 2024 VS 2031
Figure 10. Healthcare Case Studies
Figure 11. BFSI Case Studies
Figure 12. IT & Telecom Case Studies
Figure 13. Retail & E-commerce Case Studies
Figure 14. Energy & Utilities Case Studies
Figure 15. Media & Entertainment Case Studies
Figure 16. Education Case Studies
Figure 17. Others Case Studies
Figure 18. No-Code Machine Learning Platforms Report Years Considered
Figure 19. Global No-Code Machine Learning Platforms Market Size (US$ Million), Year-over-Year: 2020-2031
Figure 20. Global No-Code Machine Learning Platforms Market Size, (US$ Million), 2020 VS 2024 VS 2031
Figure 21. Global No-Code Machine Learning Platforms Market Share by Region: 2024 VS 2031
Figure 22. Global No-Code Machine Learning Platforms Market Share by Players in 2024
Figure 23. Global No-Code Machine Learning Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
Figure 24. The Top 10 and 5 Players Market Share by No-Code Machine Learning Platforms Revenue in 2024
Figure 25. North America No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 26. North America No-Code Machine Learning Platforms Market Share by Country (2020-2031)
Figure 27. United States No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 28. Canada No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 29. Europe No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 30. Europe No-Code Machine Learning Platforms Market Share by Country (2020-2031)
Figure 31. Germany No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 32. France No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 33. U.K. No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 34. Italy No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 35. Russia No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 36. Nordic Countries No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 37. Asia-Pacific No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 38. Asia-Pacific No-Code Machine Learning Platforms Market Share by Region (2020-2031)
Figure 39. China No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 40. Japan No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 41. South Korea No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 42. Southeast Asia No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 43. India No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 44. Australia No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 45. Latin America No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 46. Latin America No-Code Machine Learning Platforms Market Share by Country (2020-2031)
Figure 47. Mexico No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 48. Brazil No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 49. Middle East & Africa No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 50. Middle East & Africa No-Code Machine Learning Platforms Market Share by Country (2020-2031)
Figure 51. Turkey No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 52. Saudi Arabia No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 53. UAE No-Code Machine Learning Platforms Market Size YoY Growth (2020-2031) & (US$ Million)
Figure 54. Google Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 55. Microsoft Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 56. DataRobot Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 57. H2O.ai Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 58. AWS Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 59. RapidMiner Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 60. Alteryx Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 61. BigML Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 62. Levity Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 63. MonkeyLearn Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 64. Runway ML Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 65. Peltarion Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 66. Slyce Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 67. TIBCO Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 68. Zest AI Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 69. Weka.io Revenue Growth Rate in No-Code Machine Learning Platforms Business (2020-2025)
Figure 70. Bottom-up and Top-down Approaches for This Report
Figure 71. Data Triangulation
Figure 72. Key Executives Interviewed
