This report provides a comprehensive analysis of the global low-code machine learning platforms software market, which is projected to experience significant growth through 2032. The study explores how these platforms democratize AI development by utilizing visual modeling and automated processes to lower technical barriers for non-experts. Covering key segments such as cloud-based and on-premise solutions, the research examines major players, regional dynamics, and competitive strategies. Ultimately, it identifies emerging opportunities across various applications and automation levels.

Market Overview

The global Low-Code Machine Learning Platforms Software market is predicted to grow from US$ 2622 million in 2025 to US$ 10088 million in 2032, representing a compound annual growth rate (CAGR) of 21.3% from 2026 to 2032.

Product Definition and Core Value

Low-code machine learning platform software is a specialized type of AI development and application platform designed to lower the barrier to entry for machine learning modeling. It achieves this through the use of visual drag-and-drop interfaces, pre-built components, automated processes, and minimal coding requirements. This technology enables non-professional algorithm engineers to efficiently execute the entire lifecycle of data access, feature engineering, model training, evaluation, deployment, and maintenance.

Core Goals

• Lower the AI technical threshold.
• Shorten the modeling cycle.
• Enhance the self-modeling capabilities of business personnel.

Core Features

• Visual modeling
• Automated AI capabilities
• Low-code/no-code functionality
• Full-process coverage
• Out-of-the-box components

Regional Market Analysis

• United States: The market for Low-Code Machine Learning Platforms Software in the United States is expected to experience significant growth from 2025 through 2032.
• China: The Chinese market for Low-Code Machine Learning Platforms Software is projected to expand steadily over the forecast period from 2025 to 2032.
• Europe: The European market for Low-Code Machine Learning Platforms Software is estimated to see continuous growth between 2025 and 2032.

Market Segmentation

By Type

• On-Premise
• Cloud-Based

By Features

• Automated Machine Learning
• Visual Modeling
• Low-Code Process

By Automation Level

• Semi-Automatic
• Fully Automatic
• Human-Machine Collaboration

By Application

• Individuals
• Enterprises

By Region

• Americas: United States, Canada, Mexico, Brazil
• APAC: China, Japan, Korea, Southeast Asia, India, Australia
• Europe: Germany, France, UK, Italy, Russia
• Middle East & Africa: Egypt, South Africa, Israel, Turkey, GCC Countries

Competitive Landscape

Key Players

The following companies have been profiled based on primary expert input and analysis of their market coverage, product portfolios, and market penetration:

• DataRobot
• H2O.ai
• Google Cloud
• Microsoft
• Amazon
• IBM
• Salesforce
• BigML
• PyCaret
• KNIME Analytics Platform
• 4Paradigm
• Huawei Cloud
• Baidu AI Cloud
• Alibaba Cloud
• Tencent Cloud

Market Concentration

In terms of revenue, the global two largest companies occupied a significant portion of the market share in 2025.

About the Report

LPI (LP Information)'s newest research report, the “Low-Code Machine Learning Platforms Software Industry Forecast,” evaluates past sales and reviews total world Low-Code Machine Learning Platforms Software sales in 2025. It provides a comprehensive analysis by region and market sector of projected Low-Code Machine Learning Platforms Software sales for 2026 through 2032, with detailed breakdowns in US$ millions by region, market sector, and sub-sector.

This Insight Report provides a comprehensive analysis of the global landscape and highlights key trends related to:

• Product segmentation
• Company formation
• Revenue and market share
• Latest developments
• M&A activity

Furthermore, the report analyzes the strategies of leading global companies, focusing on their Low-Code Machine Learning Platforms Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints. This allows for a better understanding of their unique positions within an accelerating global market.

Utilizing a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecasts key market trends, drivers, and affecting factors to highlight emerging pockets of opportunity across product type, application, geography, and market size.

• 1 Scope of the Report

  • 1.1 Market Introduction

  • 1.2 Years Considered

  • 1.3 Research Objectives

  • 1.4 Market Research Methodology

  • 1.5 Research Process and Data Source

  • 1.6 Economic Indicators

  • 1.7 Currency Considered

  • 1.8 Market Estimation Caveats

• 2 Executive Summary

  • 2.1 World Market Overview

    • 2.1.1 Global Low-Code Machine Learning Platforms Software Market Size (2021-2032)

    • 2.1.2 Low-Code Machine Learning Platforms Software Market Size CAGR by Region (2021 VS 2025 VS 2032)

    • 2.1.3 World Current & Future Analysis for Low-Code Machine Learning Platforms Software by Country/Region (2021, 2025 & 2032)

  • 2.2 Low-Code Machine Learning Platforms Software Segment by Type

    • 2.2.1 On-Premise

    • 2.2.2 Cloud-Based

    • 2.2.3 Low-Code Machine Learning Platforms Software Market Size by Type

      • 2.2.3.1 Low-Code Machine Learning Platforms Software Market Size CAGR by Type (2021 VS 2025 VS 2032)
      • 2.2.3.2 Global Low-Code Machine Learning Platforms Software Market Size Market Share by Type (2021-2026)

  • 2.3 Low-Code Machine Learning Platforms Software Segment by Features

    • 2.3.1 Automated Machine Learning

    • 2.3.2 Visual Modeling

    • 2.3.3 Low-Code Process

    • 2.3.4 Low-Code Machine Learning Platforms Software Market Size by Features

      • 2.3.4.1 Low-Code Machine Learning Platforms Software Market Size CAGR by Features (2021 VS 2025 VS 2032)
      • 2.3.4.2 Global Low-Code Machine Learning Platforms Software Market Size Market Share by Features (2021-2026)

  • 2.4 Low-Code Machine Learning Platforms Software Segment by Automation Level

    • 2.4.1 Semi-Automatic

    • 2.4.2 Fully Automatic

    • 2.4.3 Human-Machine Collaboration

    • 2.4.4 Low-Code Machine Learning Platforms Software Market Size by Automation Level

      • 2.4.4.1 Low-Code Machine Learning Platforms Software Market Size CAGR by Automation Level (2021 VS 2025 VS 2032)
      • 2.4.4.2 Global Low-Code Machine Learning Platforms Software Market Size Market Share by Automation Level (2021-2026)

  • 2.5 Low-Code Machine Learning Platforms Software Segment by Application

    • 2.5.1 Individuals

    • 2.5.2 Enterprises

    • 2.5.3 Low-Code Machine Learning Platforms Software Market Size by Application

      • 2.5.3.1 Low-Code Machine Learning Platforms Software Market Size CAGR by Application (2021 VS 2025 VS 2032)
      • 2.5.3.2 Global Low-Code Machine Learning Platforms Software Market Size Market Share by Application (2021-2026)

• 3 Low-Code Machine Learning Platforms Software Market Size by Player

  • 3.1 Low-Code Machine Learning Platforms Software Market Size Market Share by Player

    • 3.1.1 Global Low-Code Machine Learning Platforms Software Revenue by Player (2021-2026)

    • 3.1.2 Global Low-Code Machine Learning Platforms Software Revenue Market Share by Player (2021-2026)

  • 3.2 Global Low-Code Machine Learning Platforms Software Key Players Head office and Products Offered

  • 3.3 Market Concentration Rate Analysis

    • 3.3.1 Competition Landscape Analysis

    • 3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2024-2026)

  • 3.4 New Products and Potential Entrants

  • 3.5 Mergers & Acquisitions, Expansion

• 4 Low-Code Machine Learning Platforms Software by Region

  • 4.1 Low-Code Machine Learning Platforms Software Market Size by Region (2021-2026)

  • 4.2 Global Low-Code Machine Learning Platforms Software Annual Revenue by Country/Region (2021-2026)

  • 4.3 Americas Low-Code Machine Learning Platforms Software Market Size Growth (2021-2026)

  • 4.4 APAC Low-Code Machine Learning Platforms Software Market Size Growth (2021-2026)

  • 4.5 Europe Low-Code Machine Learning Platforms Software Market Size Growth (2021-2026)

  • 4.6 Middle East & Africa Low-Code Machine Learning Platforms Software Market Size Growth (2021-2026)

• 5 Americas

  • 5.1 Americas Low-Code Machine Learning Platforms Software Market Size by Country (2021-2026)

  • 5.2 Americas Low-Code Machine Learning Platforms Software Market Size by Type (2021-2026)

  • 5.3 Americas Low-Code Machine Learning Platforms Software Market Size by Application (2021-2026)

  • 5.4 United States

  • 5.5 Canada

  • 5.6 Mexico

  • 5.7 Brazil

• 6 APAC

  • 6.1 APAC Low-Code Machine Learning Platforms Software Market Size by Region (2021-2026)

  • 6.2 APAC Low-Code Machine Learning Platforms Software Market Size by Type (2021-2026)

  • 6.3 APAC Low-Code Machine Learning Platforms Software Market Size by Application (2021-2026)

  • 6.4 China

  • 6.5 Japan

  • 6.6 South Korea

  • 6.7 Southeast Asia

  • 6.8 India

  • 6.9 Australia

• 7 Europe

  • 7.1 Europe Low-Code Machine Learning Platforms Software Market Size by Country (2021-2026)

  • 7.2 Europe Low-Code Machine Learning Platforms Software Market Size by Type (2021-2026)

  • 7.3 Europe Low-Code Machine Learning Platforms Software Market Size by Application (2021-2026)

  • 7.4 Germany

  • 7.5 France

  • 7.6 UK

  • 7.7 Italy

  • 7.8 Russia

• 8 Middle East & Africa

  • 8.1 Middle East & Africa Low-Code Machine Learning Platforms Software by Region (2021-2026)

  • 8.2 Middle East & Africa Low-Code Machine Learning Platforms Software Market Size by Type (2021-2026)

  • 8.3 Middle East & Africa Low-Code Machine Learning Platforms Software Market Size by Application (2021-2026)

  • 8.4 Egypt

  • 8.5 South Africa

  • 8.6 Israel

  • 8.7 Turkey

  • 8.8 GCC Countries

• 9 Market Drivers, Challenges and Trends

  • 9.1 Market Drivers & Growth Opportunities

  • 9.2 Market Challenges & Risks

  • 9.3 Industry Trends

• 10 Global Low-Code Machine Learning Platforms Software Market Forecast

  • 10.1 Global Low-Code Machine Learning Platforms Software Forecast by Region (2027-2032)

    • 10.1.1 Global Low-Code Machine Learning Platforms Software Forecast by Region (2027-2032)

    • 10.1.2 Americas Low-Code Machine Learning Platforms Software Forecast

    • 10.1.3 APAC Low-Code Machine Learning Platforms Software Forecast

    • 10.1.4 Europe Low-Code Machine Learning Platforms Software Forecast

    • 10.1.5 Middle East & Africa Low-Code Machine Learning Platforms Software Forecast

  • 10.2 Americas Low-Code Machine Learning Platforms Software Forecast by Country (2027-2032)

    • 10.2.1 United States Market Low-Code Machine Learning Platforms Software Forecast

    • 10.2.2 Canada Market Low-Code Machine Learning Platforms Software Forecast

    • 10.2.3 Mexico Market Low-Code Machine Learning Platforms Software Forecast

    • 10.2.4 Brazil Market Low-Code Machine Learning Platforms Software Forecast

  • 10.3 APAC Low-Code Machine Learning Platforms Software Forecast by Region (2027-2032)

    • 10.3.1 China Low-Code Machine Learning Platforms Software Market Forecast

    • 10.3.2 Japan Market Low-Code Machine Learning Platforms Software Forecast

    • 10.3.3 Korea Market Low-Code Machine Learning Platforms Software Forecast

    • 10.3.4 Southeast Asia Market Low-Code Machine Learning Platforms Software Forecast

    • 10.3.5 India Market Low-Code Machine Learning Platforms Software Forecast

    • 10.3.6 Australia Market Low-Code Machine Learning Platforms Software Forecast

  • 10.4 Europe Low-Code Machine Learning Platforms Software Forecast by Country (2027-2032)

    • 10.4.1 Germany Market Low-Code Machine Learning Platforms Software Forecast

    • 10.4.2 France Market Low-Code Machine Learning Platforms Software Forecast

    • 10.4.3 UK Market Low-Code Machine Learning Platforms Software Forecast

    • 10.4.4 Italy Market Low-Code Machine Learning Platforms Software Forecast

    • 10.4.5 Russia Market Low-Code Machine Learning Platforms Software Forecast

  • 10.5 Middle East & Africa Low-Code Machine Learning Platforms Software Forecast by Region (2027-2032)

    • 10.5.1 Egypt Market Low-Code Machine Learning Platforms Software Forecast

    • 10.5.2 South Africa Market Low-Code Machine Learning Platforms Software Forecast

    • 10.5.3 Israel Market Low-Code Machine Learning Platforms Software Forecast

    • 10.5.4 Turkey Market Low-Code Machine Learning Platforms Software Forecast

  • 10.6 Global Low-Code Machine Learning Platforms Software Forecast by Type (2027-2032)

  • 10.7 Global Low-Code Machine Learning Platforms Software Forecast by Application (2027-2032)

    • 10.7.1 GCC Countries Market Low-Code Machine Learning Platforms Software Forecast

• 11 Key Players Analysis

  • 11.1 DataRobot

    • 11.1.1 DataRobot Company Information

    • 11.1.2 DataRobot Low-Code Machine Learning Platforms Software Product Offered

    • 11.1.3 DataRobot Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.1.4 DataRobot Main Business Overview

    • 11.1.5 DataRobot Latest Developments

  • 11.2 H2O.ai

    • 11.2.1 H2O.ai Company Information

    • 11.2.2 H2O.ai Low-Code Machine Learning Platforms Software Product Offered

    • 11.2.3 H2O.ai Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.2.4 H2O.ai Main Business Overview

    • 11.2.5 H2O.ai Latest Developments

  • 11.3 Google Cloud

    • 11.3.1 Google Cloud Company Information

    • 11.3.2 Google Cloud Low-Code Machine Learning Platforms Software Product Offered

    • 11.3.3 Google Cloud Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.3.4 Google Cloud Main Business Overview

    • 11.3.5 Google Cloud Latest Developments

  • 11.4 Microsoft

    • 11.4.1 Microsoft Company Information

    • 11.4.2 Microsoft Low-Code Machine Learning Platforms Software Product Offered

    • 11.4.3 Microsoft Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.4.4 Microsoft Main Business Overview

    • 11.4.5 Microsoft Latest Developments

  • 11.5 Amazon

    • 11.5.1 Amazon Company Information

    • 11.5.2 Amazon Low-Code Machine Learning Platforms Software Product Offered

    • 11.5.3 Amazon Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.5.4 Amazon Main Business Overview

    • 11.5.5 Amazon Latest Developments

  • 11.6 IBM

    • 11.6.1 IBM Company Information

    • 11.6.2 IBM Low-Code Machine Learning Platforms Software Product Offered

    • 11.6.3 IBM Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.6.4 IBM Main Business Overview

    • 11.6.5 IBM Latest Developments

  • 11.7 Salesforce

    • 11.7.1 Salesforce Company Information

    • 11.7.2 Salesforce Low-Code Machine Learning Platforms Software Product Offered

    • 11.7.3 Salesforce Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.7.4 Salesforce Main Business Overview

    • 11.7.5 Salesforce Latest Developments

  • 11.8 BigML

    • 11.8.1 BigML Company Information

    • 11.8.2 BigML Low-Code Machine Learning Platforms Software Product Offered

    • 11.8.3 BigML Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.8.4 BigML Main Business Overview

    • 11.8.5 BigML Latest Developments

  • 11.9 PyCaret

    • 11.9.1 PyCaret Company Information

    • 11.9.2 PyCaret Low-Code Machine Learning Platforms Software Product Offered

    • 11.9.3 PyCaret Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.9.4 PyCaret Main Business Overview

    • 11.9.5 PyCaret Latest Developments

  • 11.10 KNIME Analytics Platform

    • 11.10.1 KNIME Analytics Platform Company Information

    • 11.10.2 KNIME Analytics Platform Low-Code Machine Learning Platforms Software Product Offered

    • 11.10.3 KNIME Analytics Platform Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.10.4 KNIME Analytics Platform Main Business Overview

    • 11.10.5 KNIME Analytics Platform Latest Developments

  • 11.11 4Paradigm

    • 11.11.1 4Paradigm Company Information

    • 11.11.2 4Paradigm Low-Code Machine Learning Platforms Software Product Offered

    • 11.11.3 4Paradigm Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.11.4 4Paradigm Main Business Overview

    • 11.11.5 4Paradigm Latest Developments

  • 11.12 Huawei Cloud

    • 11.12.1 Huawei Cloud Company Information

    • 11.12.2 Huawei Cloud Low-Code Machine Learning Platforms Software Product Offered

    • 11.12.3 Huawei Cloud Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.12.4 Huawei Cloud Main Business Overview

    • 11.12.5 Huawei Cloud Latest Developments

  • 11.13 Baidu AI Cloud

    • 11.13.1 Baidu AI Cloud Company Information

    • 11.13.2 Baidu AI Cloud Low-Code Machine Learning Platforms Software Product Offered

    • 11.13.3 Baidu AI Cloud Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.13.4 Baidu AI Cloud Main Business Overview

    • 11.13.5 Baidu AI Cloud Latest Developments

  • 11.14 Alibaba Cloud

    • 11.14.1 Alibaba Cloud Company Information

    • 11.14.2 Alibaba Cloud Low-Code Machine Learning Platforms Software Product Offered

    • 11.14.3 Alibaba Cloud Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.14.4 Alibaba Cloud Main Business Overview

    • 11.14.5 Alibaba Cloud Latest Developments

  • 11.15 Tencent Cloud

    • 11.15.1 Tencent Cloud Company Information

    • 11.15.2 Tencent Cloud Low-Code Machine Learning Platforms Software Product Offered

    • 11.15.3 Tencent Cloud Low-Code Machine Learning Platforms Software Revenue, Gross Margin and Market Share (2021-2026)

    • 11.15.4 Tencent Cloud Main Business Overview

    • 11.15.5 Tencent Cloud Latest Developments

• 12 Research Findings and Conclusion