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Product Code LP0914611474J1E
Published Date 2023/3/21
English101 PagesGlobal

Global Low Code and No Code Machine Learning Platform Market Growth (Status and Outlook) 2023-2029Telecom_Media_ICT_Digital Market


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Product Code LP0914611474J1E◆The Mar 2026 edition is also likely available. We will check with the publisher immediately.
Published Date 2023/3/21
English 101 PagesGlobal

Global Low Code and No Code Machine Learning Platform Market Growth (Status and Outlook) 2023-2029Telecom_Media_ICT_Digital Market



Abstract


Summary

The global Low Code and No Code Machine Learning Platform market size is projected to grow from US$ million in 2022 to US$ million in 2029; it is expected to grow at a CAGR of % from 2023 to 2029.
United States market for Low Code and No Code Machine Learning Platform is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.
China market for Low Code and No Code Machine Learning Platform is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.
Europe market for Low Code and No Code Machine Learning Platform is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.
Global key Low Code and No Code Machine Learning Platform players cover DeepLobe, Cogniflow, MakeML, Obviously Al, SuperAnnotate, Teachable Machine, Apple's Create ML, PyCaret and Lobe, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2022.
LPI (LP Information)' newest research report, the “Low Code and No Code Machine Learning Platform Industry Forecast” looks at past sales and reviews total world Low Code and No Code Machine Learning Platform sales in 2022, providing a comprehensive analysis by region and market sector of projected Low Code and No Code Machine Learning Platform sales for 2023 through 2029. With Low Code and No Code Machine Learning Platform sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Low Code and No Code Machine Learning Platform industry.
This Insight Report provides a comprehensive analysis of the global Low Code and No Code Machine Learning Platform landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Low Code and No Code Machine Learning Platform portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Low Code and No Code Machine Learning Platform market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Low Code and No Code Machine Learning Platform and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Low Code and No Code Machine Learning Platform.
This report presents a comprehensive overview, market shares, and growth opportunities of Low Code and No Code Machine Learning Platform market by product type, application, key players and key regions and countries.
Market Segmentation:
Segmentation by type
Low Code Platform
No Code Platform
Segmentation by application
Education
Finance
Bank
Industry
Other
This report also splits the market 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
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
DeepLobe
Cogniflow
MakeML
Obviously Al
SuperAnnotate
Teachable Machine
Apple's Create ML
PyCaret
Lobe
MonkeyLearn
Levity AI
Microsoft PowerApps

Table of Contents

  • 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 and No Code Machine Learning Platform Market Size 2018-2029
      • 2.1.2 Low Code and No Code Machine Learning Platform Market Size CAGR by Region 2018 VS 2022 VS 2029
    • 2.2 Low Code and No Code Machine Learning Platform Segment by Type
      • 2.2.1 Low Code Platform
      • 2.2.2 No Code Platform
    • 2.3 Low Code and No Code Machine Learning Platform Market Size by Type
      • 2.3.1 Low Code and No Code Machine Learning Platform Market Size CAGR by Type (2018 VS 2022 VS 2029)
      • 2.3.2 Global Low Code and No Code Machine Learning Platform Market Size Market Share by Type (2018-2023)
    • 2.4 Low Code and No Code Machine Learning Platform Segment by Application
      • 2.4.1 Education
      • 2.4.2 Finance
      • 2.4.3 Bank
      • 2.4.4 Industry
      • 2.4.5 Other
    • 2.5 Low Code and No Code Machine Learning Platform Market Size by Application
      • 2.5.1 Low Code and No Code Machine Learning Platform Market Size CAGR by Application (2018 VS 2022 VS 2029)
      • 2.5.2 Global Low Code and No Code Machine Learning Platform Market Size Market Share by Application (2018-2023)
  • 3 Low Code and No Code Machine Learning Platform Market Size by Player

    • 3.1 Low Code and No Code Machine Learning Platform Market Size Market Share by Players
      • 3.1.1 Global Low Code and No Code Machine Learning Platform Revenue by Players (2018-2023)
      • 3.1.2 Global Low Code and No Code Machine Learning Platform Revenue Market Share by Players (2018-2023)
    • 3.2 Global Low Code and No Code Machine Learning Platform 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) & (2021-2023)
    • 3.4 New Products and Potential Entrants
    • 3.5 Mergers & Acquisitions, Expansion
  • 4 Low Code and No Code Machine Learning Platform by Regions

    • 4.1 Low Code and No Code Machine Learning Platform Market Size by Regions (2018-2023)
    • 4.2 Americas Low Code and No Code Machine Learning Platform Market Size Growth (2018-2023)
    • 4.3 APAC Low Code and No Code Machine Learning Platform Market Size Growth (2018-2023)
    • 4.4 Europe Low Code and No Code Machine Learning Platform Market Size Growth (2018-2023)
    • 4.5 Middle East & Africa Low Code and No Code Machine Learning Platform Market Size Growth (2018-2023)
  • 5 Americas

    • 5.1 Americas Low Code and No Code Machine Learning Platform Market Size by Country (2018-2023)
    • 5.2 Americas Low Code and No Code Machine Learning Platform Market Size by Type (2018-2023)
    • 5.3 Americas Low Code and No Code Machine Learning Platform Market Size by Application (2018-2023)
    • 5.4 United States
    • 5.5 Canada
    • 5.6 Mexico
    • 5.7 Brazil
  • 6 APAC

    • 6.1 APAC Low Code and No Code Machine Learning Platform Market Size by Region (2018-2023)
    • 6.2 APAC Low Code and No Code Machine Learning Platform Market Size by Type (2018-2023)
    • 6.3 APAC Low Code and No Code Machine Learning Platform Market Size by Application (2018-2023)
    • 6.4 China
    • 6.5 Japan
    • 6.6 Korea
    • 6.7 Southeast Asia
    • 6.8 India
    • 6.9 Australia
  • 7 Europe

    • 7.1 Europe Low Code and No Code Machine Learning Platform by Country (2018-2023)
    • 7.2 Europe Low Code and No Code Machine Learning Platform Market Size by Type (2018-2023)
    • 7.3 Europe Low Code and No Code Machine Learning Platform Market Size by Application (2018-2023)
    • 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 and No Code Machine Learning Platform by Region (2018-2023)
    • 8.2 Middle East & Africa Low Code and No Code Machine Learning Platform Market Size by Type (2018-2023)
    • 8.3 Middle East & Africa Low Code and No Code Machine Learning Platform Market Size by Application (2018-2023)
    • 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 and No Code Machine Learning Platform Market Forecast

    • 10.1 Global Low Code and No Code Machine Learning Platform Forecast by Regions (2024-2029)
      • 10.1.1 Global Low Code and No Code Machine Learning Platform Forecast by Regions (2024-2029)
      • 10.1.2 Americas Low Code and No Code Machine Learning Platform Forecast
      • 10.1.3 APAC Low Code and No Code Machine Learning Platform Forecast
      • 10.1.4 Europe Low Code and No Code Machine Learning Platform Forecast
      • 10.1.5 Middle East & Africa Low Code and No Code Machine Learning Platform Forecast
    • 10.2 Americas Low Code and No Code Machine Learning Platform Forecast by Country (2024-2029)
      • 10.2.1 United States Low Code and No Code Machine Learning Platform Market Forecast
      • 10.2.2 Canada Low Code and No Code Machine Learning Platform Market Forecast
      • 10.2.3 Mexico Low Code and No Code Machine Learning Platform Market Forecast
      • 10.2.4 Brazil Low Code and No Code Machine Learning Platform Market Forecast
    • 10.3 APAC Low Code and No Code Machine Learning Platform Forecast by Region (2024-2029)
      • 10.3.1 China Low Code and No Code Machine Learning Platform Market Forecast
      • 10.3.2 Japan Low Code and No Code Machine Learning Platform Market Forecast
      • 10.3.3 Korea Low Code and No Code Machine Learning Platform Market Forecast
      • 10.3.4 Southeast Asia Low Code and No Code Machine Learning Platform Market Forecast
      • 10.3.5 India Low Code and No Code Machine Learning Platform Market Forecast
      • 10.3.6 Australia Low Code and No Code Machine Learning Platform Market Forecast
    • 10.4 Europe Low Code and No Code Machine Learning Platform Forecast by Country (2024-2029)
      • 10.4.1 Germany Low Code and No Code Machine Learning Platform Market Forecast
      • 10.4.2 France Low Code and No Code Machine Learning Platform Market Forecast
      • 10.4.3 UK Low Code and No Code Machine Learning Platform Market Forecast
      • 10.4.4 Italy Low Code and No Code Machine Learning Platform Market Forecast
      • 10.4.5 Russia Low Code and No Code Machine Learning Platform Market Forecast
    • 10.5 Middle East & Africa Low Code and No Code Machine Learning Platform Forecast by Region (2024-2029)
      • 10.5.1 Egypt Low Code and No Code Machine Learning Platform Market Forecast
      • 10.5.2 South Africa Low Code and No Code Machine Learning Platform Market Forecast
      • 10.5.3 Israel Low Code and No Code Machine Learning Platform Market Forecast
      • 10.5.4 Turkey Low Code and No Code Machine Learning Platform Market Forecast
      • 10.5.5 GCC Countries Low Code and No Code Machine Learning Platform Market Forecast
    • 10.6 Global Low Code and No Code Machine Learning Platform Forecast by Type (2024-2029)
    • 10.7 Global Low Code and No Code Machine Learning Platform Forecast by Application (2024-2029)
  • 11 Key Players Analysis

    • 11.1 DeepLobe
      • 11.1.1 DeepLobe Company Information
      • 11.1.2 DeepLobe Low Code and No Code Machine Learning Platform Product Offered
      • 11.1.3 DeepLobe Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.1.4 DeepLobe Main Business Overview
      • 11.1.5 DeepLobe Latest Developments
    • 11.2 Cogniflow
      • 11.2.1 Cogniflow Company Information
      • 11.2.2 Cogniflow Low Code and No Code Machine Learning Platform Product Offered
      • 11.2.3 Cogniflow Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.2.4 Cogniflow Main Business Overview
      • 11.2.5 Cogniflow Latest Developments
    • 11.3 MakeML
      • 11.3.1 MakeML Company Information
      • 11.3.2 MakeML Low Code and No Code Machine Learning Platform Product Offered
      • 11.3.3 MakeML Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.3.4 MakeML Main Business Overview
      • 11.3.5 MakeML Latest Developments
    • 11.4 Obviously Al
      • 11.4.1 Obviously Al Company Information
      • 11.4.2 Obviously Al Low Code and No Code Machine Learning Platform Product Offered
      • 11.4.3 Obviously Al Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.4.4 Obviously Al Main Business Overview
      • 11.4.5 Obviously Al Latest Developments
    • 11.5 SuperAnnotate
      • 11.5.1 SuperAnnotate Company Information
      • 11.5.2 SuperAnnotate Low Code and No Code Machine Learning Platform Product Offered
      • 11.5.3 SuperAnnotate Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.5.4 SuperAnnotate Main Business Overview
      • 11.5.5 SuperAnnotate Latest Developments
    • 11.6 Teachable Machine
      • 11.6.1 Teachable Machine Company Information
      • 11.6.2 Teachable Machine Low Code and No Code Machine Learning Platform Product Offered
      • 11.6.3 Teachable Machine Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.6.4 Teachable Machine Main Business Overview
      • 11.6.5 Teachable Machine Latest Developments
    • 11.7 Apple's Create ML
      • 11.7.1 Apple's Create ML Company Information
      • 11.7.2 Apple's Create ML Low Code and No Code Machine Learning Platform Product Offered
      • 11.7.3 Apple's Create ML Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.7.4 Apple's Create ML Main Business Overview
      • 11.7.5 Apple's Create ML Latest Developments
    • 11.8 PyCaret
      • 11.8.1 PyCaret Company Information
      • 11.8.2 PyCaret Low Code and No Code Machine Learning Platform Product Offered
      • 11.8.3 PyCaret Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.8.4 PyCaret Main Business Overview
      • 11.8.5 PyCaret Latest Developments
    • 11.9 Lobe
      • 11.9.1 Lobe Company Information
      • 11.9.2 Lobe Low Code and No Code Machine Learning Platform Product Offered
      • 11.9.3 Lobe Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.9.4 Lobe Main Business Overview
      • 11.9.5 Lobe Latest Developments
    • 11.10 MonkeyLearn
      • 11.10.1 MonkeyLearn Company Information
      • 11.10.2 MonkeyLearn Low Code and No Code Machine Learning Platform Product Offered
      • 11.10.3 MonkeyLearn Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.10.4 MonkeyLearn Main Business Overview
      • 11.10.5 MonkeyLearn Latest Developments
    • 11.11 Levity AI
      • 11.11.1 Levity AI Company Information
      • 11.11.2 Levity AI Low Code and No Code Machine Learning Platform Product Offered
      • 11.11.3 Levity AI Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.11.4 Levity AI Main Business Overview
      • 11.11.5 Levity AI Latest Developments
    • 11.12 Microsoft PowerApps
      • 11.12.1 Microsoft PowerApps Company Information
      • 11.12.2 Microsoft PowerApps Low Code and No Code Machine Learning Platform Product Offered
      • 11.12.3 Microsoft PowerApps Low Code and No Code Machine Learning Platform Revenue, Gross Margin and Market Share (2018-2023)
      • 11.12.4 Microsoft PowerApps Main Business Overview
      • 11.12.5 Microsoft PowerApps Latest Developments
  • 12 Research Findings and Conclusion

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