Selected research
Industry Growth & Trends
Global Low-Code Machine Learning Platforms Software Industry Growth and Trends Forecast to 2032
Market perspective
According to APO Research, the global Low-Code Machine Learning Platforms Software market was valued at US$ million in 2026 and is projected to reach US$ million by 2032, implying a CAGR of xx% over 2026-2032.
The North America market for Low-Code Machine Learning Platforms Software is projected to increase from US$ million in 2026 to US$ million by 2032, corresponding to a CAGR of % over 2026-2032.
The Europe market for Low-Code Machine Learning Platforms Software is projected to increase from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026-2032.
Read the full market overview
The Asia Pacific market for Low-Code Machine Learning Platforms Software is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Leading global companies in the Low-Code Machine Learning Platforms Software market include DataRobot, H2O.ai, Google Cloud, Microsoft, Amazon, IBM, Salesforce, BigML and PyCaret, among others. In 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
This report provides a structured, data-driven view of the global Low-Code Machine Learning Platforms Software market, combining harmonized quantitative metrics with targeted qualitative insight to support business and growth strategy, market positioning, and capital allocation.
The Low-Code Machine Learning Platforms Software market size, estimates, and forecasts are presented in terms of revenue (US$ million), with 2025 as the base year and historical and forecast data for 2021-2032. The report segments the global Low-Code Machine Learning Platforms Software market by Type, Application, region/country, and company, provides regional market sizes at the segment level, profiles the competitive landscape and key players and their market ranks, and reviews technology trends and new product developments relevant to Low-Code Machine Learning Platforms Software.
Key Companies & Market Share Insights
This section analyzes the strategies and performance of leading companies in the global Low-Code Machine Learning Platforms Software market, including portfolio focus, innovation and product development, mergers and acquisitions, collaborations, and geographic expansion used to sustain or enhance competitive positions. It also summarizes recent corporate developments and key financial indicators and provides global revenue and gross margin data by manufacturer for 2021-2026, enabling benchmarking of scale, profitability, and market share and supporting assessment of market concentration through indicators such as CR5 and CR10.
Low-Code Machine Learning Platforms Software Market by Company
DataRobot
H2O.ai
Google Cloud
Microsoft
Amazon
IBM
Salesforce
BigML
PyCaret
KNIME Analytics Platform
4Paradigm
Huawei Cloud
Baidu AI Cloud
Alibaba Cloud
Tencent Cloud
Low-Code Machine Learning Platforms Software Segment by Type
On-Premise
Cloud-Based
Low-Code Machine Learning Platforms Software Segment by Application
Individuals
Enterprises
Low-Code Machine Learning Platforms Software Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Low-Code Machine Learning Platforms Software market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Low-Code Machine Learning Platforms Software and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Low-Code Machine Learning Platforms Software.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2021-2025, 2026-2031). 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: 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 3: 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 4: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 5: Detailed analysis of Low-Code Machine Learning Platforms Software companies' competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, revenue by country.
Chapter 12: Concluding Insights of the report
More report detail
Tables and figures
Scope & coverage.
Types
- On-Premise
- Cloud-Based
Applications
- Individuals
- Enterprises
Companies covered
- DataRobot
- H2O.ai
- Google Cloud
- Microsoft
- Amazon
- IBM
- Salesforce
- BigML
- PyCaret
- KNIME Analytics Platform
- 4Paradigm
- Huawei Cloud
- Baidu AI Cloud
- Alibaba Cloud
- Tencent Cloud
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Global Market Growth Prospects
- 1.3 Global Low-Code Machine Learning Platforms Software Market Size Overview by Region 2021 VS 2025 VS 2032
- 1.4 Global Low-Code Machine Learning Platforms Software Market Size by Region (2021-2032)
- 1.4.1 Global Low-Code Machine Learning Platforms Software Market Size by Region (2021-2026)
- 1.4.2 Global Low-Code Machine Learning Platforms Software Market Size by Region (2027-2032)
- 1.5 Key Regions Low-Code Machine Learning Platforms Software Market Size (2021-2032)
- 1.5.1 North America Low-Code Machine Learning Platforms Software Market Size Growth Rate (2021-2032)
- 1.5.2 Europe Low-Code Machine Learning Platforms Software Market Size Growth Rate (2021-2032)
- 1.5.3 Asia-Pacific Low-Code Machine Learning Platforms Software Market Size Growth Rate (2021-2032)
- 1.5.4 South America Low-Code Machine Learning Platforms Software Market Size Growth Rate (2021-2032)
- 1.5.5 Middle East & Africa Low-Code Machine Learning Platforms Software Market Size Growth Rate (2021-2032)
2 Low-Code Machine Learning Platforms Software Market by Type
- 2.1 Type Introduction
- 2.1.1 On-Premise
- 2.1.2 Cloud-Based
- 2.2 Global Low-Code Machine Learning Platforms Software Market Size by Type
- 2.2.1 Global Low-Code Machine Learning Platforms Software Market Size Overview by Type (2021-2032)
- 2.2.2 Global Low-Code Machine Learning Platforms Software Historic Market Size Review by Type (2021-2026)
- 2.2.3 Global Low-Code Machine Learning Platforms Software Market Size Forecasted by Type (2027-2032)
- 2.3 Global Low-Code Machine Learning Platforms Software Market Size by Regions
- 2.3.1 North America Low-Code Machine Learning Platforms Software Market Size Breakdown by Type (2021-2026)
- 2.3.2 Europe Low-Code Machine Learning Platforms Software Market Size Breakdown by Type (2021-2026)
- 2.3.3 Asia-Pacific Low-Code Machine Learning Platforms Software Market Size Breakdown by Type (2021-2026)
- 2.3.4 South America Low-Code Machine Learning Platforms Software Market Size Breakdown by Type (2021-2026)
- 2.3.5 Middle East and Africa Low-Code Machine Learning Platforms Software Market Size Breakdown by Type (2021-2026)
3 Low-Code Machine Learning Platforms Software Market by Application
- 3.1 Type Introduction
- 3.1.1 Individuals
- 3.1.2 Enterprises
- 3.2 Global Low-Code Machine Learning Platforms Software Market Size by Application
- 3.2.1 Global Low-Code Machine Learning Platforms Software Market Size Overview by Application (2021-2032)
- 3.2.2 Global Low-Code Machine Learning Platforms Software Historic Market Size Review by Application (2021-2026)
- 3.2.3 Global Low-Code Machine Learning Platforms Software Market Size Forecasted by Application (2027-2032)
- 3.3 Global Low-Code Machine Learning Platforms Software Market Size by Regions
- 3.3.1 North America Low-Code Machine Learning Platforms Software Market Size Breakdown by Application (2021-2026)
- 3.3.2 Europe Low-Code Machine Learning Platforms Software Market Size Breakdown by Application (2021-2026)
- 3.3.3 Asia-Pacific Low-Code Machine Learning Platforms Software Market Size Breakdown by Application (2021-2026)
- 3.3.4 South America Low-Code Machine Learning Platforms Software Market Size Breakdown by Application (2021-2026)
- 3.3.5 Middle East and Africa Low-Code Machine Learning Platforms Software Market Size Breakdown by Application (2021-2026)
4 Global Market Dynamics
- 4.1 Low-Code Machine Learning Platforms Software Industry Trends
- 4.2 Low-Code Machine Learning Platforms Software Industry Drivers
- 4.3 Low-Code Machine Learning Platforms Software Industry Opportunities and Challenges
- 4.4 Low-Code Machine Learning Platforms Software Industry Restraints
5 Competitive Insights by Company
- 5.1 Global Top Players by Low-Code Machine Learning Platforms Software Revenue (2021-2026)
- 5.2 Global Low-Code Machine Learning Platforms Software Industry Company Ranking, 2024 VS 2025 VS 2026
- 5.3 Global Low-Code Machine Learning Platforms Software Key Company Headquarters & Area Served
- 5.4 Global Low-Code Machine Learning Platforms Software Company, Product Type & Application
- 5.5 Global Low-Code Machine Learning Platforms Software Company Commercialization Time
- 5.6 Market Competitive Analysis
- 5.6.1 Global Low-Code Machine Learning Platforms Software Market CR5 and HHI
- 5.6.2 Global Top 5 and 10 Low-Code Machine Learning Platforms Software Players Market Share by Revenue in 2025
- 5.6.3 2025 Low-Code Machine Learning Platforms Software Tier 1, Tier 2, and Tier 3
6 Company Profiles
- 6.1 DataRobot
- 6.1.1 DataRobot Company Information
- 6.1.2 DataRobot Business Overview
- 6.1.3 DataRobot Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.1.4 DataRobot Low-Code Machine Learning Platforms Software Product Portfolio
- 6.1.5 DataRobot Recent Developments
- 6.2 H2O.ai
- 6.2.1 H2O.ai Company Information
- 6.2.2 H2O.ai Business Overview
- 6.2.3 H2O.ai Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.2.4 H2O.ai Low-Code Machine Learning Platforms Software Product Portfolio
- 6.2.5 H2O.ai Recent Developments
- 6.3 Google Cloud
- 6.3.1 Google Cloud Company Information
- 6.3.2 Google Cloud Business Overview
- 6.3.3 Google Cloud Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.3.4 Google Cloud Low-Code Machine Learning Platforms Software Product Portfolio
- 6.3.5 Google Cloud Recent Developments
- 6.4 Microsoft
- 6.4.1 Microsoft Company Information
- 6.4.2 Microsoft Business Overview
- 6.4.3 Microsoft Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.4.4 Microsoft Low-Code Machine Learning Platforms Software Product Portfolio
- 6.4.5 Microsoft Recent Developments
- 6.5 Amazon
- 6.5.1 Amazon Company Information
- 6.5.2 Amazon Business Overview
- 6.5.3 Amazon Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.5.4 Amazon Low-Code Machine Learning Platforms Software Product Portfolio
- 6.5.5 Amazon Recent Developments
- 6.6 IBM
- 6.6.1 IBM Company Information
- 6.6.2 IBM Business Overview
- 6.6.3 IBM Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.6.4 IBM Low-Code Machine Learning Platforms Software Product Portfolio
- 6.6.5 IBM Recent Developments
- 6.7 Salesforce
- 6.7.1 Salesforce Company Information
- 6.7.2 Salesforce Business Overview
- 6.7.3 Salesforce Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.7.4 Salesforce Low-Code Machine Learning Platforms Software Product Portfolio
- 6.7.5 Salesforce Recent Developments
- 6.8 BigML
- 6.8.1 BigML Company Information
- 6.8.2 BigML Business Overview
- 6.8.3 BigML Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.8.4 BigML Low-Code Machine Learning Platforms Software Product Portfolio
- 6.8.5 BigML Recent Developments
- 6.9 PyCaret
- 6.9.1 PyCaret Company Information
- 6.9.2 PyCaret Business Overview
- 6.9.3 PyCaret Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.9.4 PyCaret Low-Code Machine Learning Platforms Software Product Portfolio
- 6.9.5 PyCaret Recent Developments
- 6.10 KNIME Analytics Platform
- 6.10.1 KNIME Analytics Platform Company Information
- 6.10.2 KNIME Analytics Platform Business Overview
- 6.10.3 KNIME Analytics Platform Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.10.4 KNIME Analytics Platform Low-Code Machine Learning Platforms Software Product Portfolio
- 6.10.5 KNIME Analytics Platform Recent Developments
- 6.11 4Paradigm
- 6.11.1 4Paradigm Company Information
- 6.11.2 4Paradigm Business Overview
- 6.11.3 4Paradigm Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.11.4 4Paradigm Low-Code Machine Learning Platforms Software Product Portfolio
- 6.11.5 4Paradigm Recent Developments
- 6.12 Huawei Cloud
- 6.12.1 Huawei Cloud Company Information
- 6.12.2 Huawei Cloud Business Overview
- 6.12.3 Huawei Cloud Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.12.4 Huawei Cloud Low-Code Machine Learning Platforms Software Product Portfolio
- 6.12.5 Huawei Cloud Recent Developments
- 6.13 Baidu AI Cloud
- 6.13.1 Baidu AI Cloud Company Information
- 6.13.2 Baidu AI Cloud Business Overview
- 6.13.3 Baidu AI Cloud Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.13.4 Baidu AI Cloud Low-Code Machine Learning Platforms Software Product Portfolio
- 6.13.5 Baidu AI Cloud Recent Developments
- 6.14 Alibaba Cloud
- 6.14.1 Alibaba Cloud Company Information
- 6.14.2 Alibaba Cloud Business Overview
- 6.14.3 Alibaba Cloud Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.14.4 Alibaba Cloud Low-Code Machine Learning Platforms Software Product Portfolio
- 6.14.5 Alibaba Cloud Recent Developments
- 6.15 Tencent Cloud
- 6.15.1 Tencent Cloud Company Information
- 6.15.2 Tencent Cloud Business Overview
- 6.15.3 Tencent Cloud Low-Code Machine Learning Platforms Software Revenue, Global Share and Gross Margin (2021-2026)
- 6.15.4 Tencent Cloud Low-Code Machine Learning Platforms Software Product Portfolio
- 6.15.5 Tencent Cloud Recent Developments
7 North America
- 7.1 North America Low-Code Machine Learning Platforms Software Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 7.2 North America Low-Code Machine Learning Platforms Software Market Size by Country (2021-2026)
- 7.3 North America Low-Code Machine Learning Platforms Software Market Size Forecast by Country (2027-2032)
8 Europe
- 8.1 Europe Low-Code Machine Learning Platforms Software Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 8.2 Europe Low-Code Machine Learning Platforms Software Market Size by Country (2021-2026)
- 8.3 Europe Low-Code Machine Learning Platforms Software Market Size Forecast by Country (2027-2032)
9 Asia-Pacific
- 9.1 Asia-Pacific Low-Code Machine Learning Platforms Software Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 9.2 Asia-Pacific Low-Code Machine Learning Platforms Software Market Size by Country (2021-2026)
- 9.3 Asia-Pacific Low-Code Machine Learning Platforms Software Market Size Forecast by Country (2027-2032)
10 South America
- 10.1 South America Low-Code Machine Learning Platforms Software Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 10.2 South America Low-Code Machine Learning Platforms Software Market Size by Country (2021-2026)
- 10.3 South America Low-Code Machine Learning Platforms Software Market Size Forecast by Country (2027-2032)
11 Middle East & Africa
- 11.1 Middle East & Africa Low-Code Machine Learning Platforms Software Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 11.2 Middle East & Africa Low-Code Machine Learning Platforms Software Market Size by Country (2021-2026)
- 11.3 Middle East & Africa Low-Code Machine Learning Platforms Software Market Size Forecast by Country (2027-2032)
12 Concluding Insights
13 Appendix
- 13.1 Reasons for Doing This Study
- 13.2 Research Methodology
- 13.3 Research Process
- 13.4 Authors List of This Report
- 13.5 Data Source
- 13.5.1 Secondary Sources
- 13.5.2 Primary Sources
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