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Industry Research
AI-powered Low-code Platform Industry Research Report 2026
Market perspective
The global AI-powered Low-code Platform market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the AI-powered Low-code Platform market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI-powered Low-code Platform market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the AI-powered Low-code Platform market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of AI-powered Low-code Platform include OutSystems, Appian, Mendix, Appsmith, Kissflow, Betty Blocks, Zoho Creator, ToolJet and Retool, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global AI-powered Low-code Platform market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to AI-powered Low-code Platform.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
AI-powered Low-code Platform Market by Company
OutSystems
Appian
Mendix
Appsmith
Kissflow
Betty Blocks
Zoho Creator
ToolJet
Retool
Microsoft
KovaionAI
Evoke Technologies
Vantiq
Newgen
Convertigo
AI-powered Low-code Platform Segment by Type
Cloud Deployment
Self-hosted
AI-powered Low-code Platform Segment by Application
SMEs
Large Enterprises
AI-powered Low-code Platform Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
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 AI-powered Low-code Platform 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 AI-powered Low-code Platform 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 volume and 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 AI-powered Low-code Platform.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, 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 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments 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 5: 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 6: Detailed analysis of AI-powered Low-code Platform companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South 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 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Cloud Deployment
- Self-hosted
Applications
- SMEs
- Large Enterprises
Companies covered
- OutSystems
- Appian
- Mendix
- Appsmith
- Kissflow
- Betty Blocks
- Zoho Creator
- ToolJet
- Retool
- Microsoft
- KovaionAI
- Evoke Technologies
- Vantiq
- Newgen
- Convertigo
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 AI-powered Low-code Platform by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Cloud Deployment
- 2.2.3 Self-hosted
- 2.3 AI-powered Low-code Platform by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 SMEs
- 2.3.3 Large Enterprises
- 2.4 Assumptions and Limitations
3 AI-powered Low-code Platform Breakdown Data by Type
- 3.1 Global AI-powered Low-code Platform Historic Market Size by Type (2021-2026)
- 3.2 Global AI-powered Low-code Platform Forecasted Market Size by Type (2027-2032)
4 AI-powered Low-code Platform Breakdown Data by Application
- 4.1 Global AI-powered Low-code Platform Historic Market Size by Application (2021-2026)
- 4.2 Global AI-powered Low-code Platform Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI-powered Low-code Platform Market Perspective (2021-2032)
- 5.2 Global AI-powered Low-code Platform Growth Trends by Region
- 5.2.1 Global AI-powered Low-code Platform Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI-powered Low-code Platform Historic Market Size by Region (2021-2026)
- 5.2.3 AI-powered Low-code Platform Forecasted Market Size by Region (2027-2032)
- 5.3 AI-powered Low-code Platform Market Dynamics
- 5.3.1 AI-powered Low-code Platform Industry Trends
- 5.3.2 AI-powered Low-code Platform Market Drivers
- 5.3.3 AI-powered Low-code Platform Market Challenges
- 5.3.4 AI-powered Low-code Platform Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI-powered Low-code Platform Players by Revenue
- 6.1.1 Global Top AI-powered Low-code Platform Players by Revenue (2021-2026)
- 6.1.2 Global AI-powered Low-code Platform Revenue Market Share by Players (2021-2026)
- 6.2 Global AI-powered Low-code Platform Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI-powered Low-code Platform Head Office and Area Served
- 6.4 Global AI-powered Low-code Platform Players, Product Type & Application
- 6.5 Global AI-powered Low-code Platform Manufacturers Established Date
- 6.6 Global AI-powered Low-code Platform Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI-powered Low-code Platform Market Size (2021-2032)
- 7.2 North America AI-powered Low-code Platform Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI-powered Low-code Platform Market Size by Country (2021-2026)
- 7.4 North America AI-powered Low-code Platform Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe AI-powered Low-code Platform Market Size (2021-2032)
- 8.2 Europe AI-powered Low-code Platform Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI-powered Low-code Platform Market Size by Country (2021-2026)
- 8.4 Europe AI-powered Low-code Platform Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific AI-powered Low-code Platform Market Size (2021-2032)
- 9.2 Asia-Pacific AI-powered Low-code Platform Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI-powered Low-code Platform Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI-powered Low-code Platform Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America AI-powered Low-code Platform Market Size (2021-2032)
- 10.2 South America AI-powered Low-code Platform Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI-powered Low-code Platform Market Size by Country (2021-2026)
- 10.4 South America AI-powered Low-code Platform Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa AI-powered Low-code Platform Market Size (2021-2032)
- 11.2 Middle East & Africa AI-powered Low-code Platform Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI-powered Low-code Platform Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI-powered Low-code Platform Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 OutSystems
- 12.1.1 OutSystems Company Information
- 12.1.2 OutSystems Business Overview
- 12.1.3 OutSystems Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.1.4 OutSystems AI-powered Low-code Platform Product Portfolio
- 12.1.5 OutSystems Recent Developments
- 12.2 Appian
- 12.2.1 Appian Company Information
- 12.2.2 Appian Business Overview
- 12.2.3 Appian Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.2.4 Appian AI-powered Low-code Platform Product Portfolio
- 12.2.5 Appian Recent Developments
- 12.3 Mendix
- 12.3.1 Mendix Company Information
- 12.3.2 Mendix Business Overview
- 12.3.3 Mendix Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.3.4 Mendix AI-powered Low-code Platform Product Portfolio
- 12.3.5 Mendix Recent Developments
- 12.4 Appsmith
- 12.4.1 Appsmith Company Information
- 12.4.2 Appsmith Business Overview
- 12.4.3 Appsmith Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.4.4 Appsmith AI-powered Low-code Platform Product Portfolio
- 12.4.5 Appsmith Recent Developments
- 12.5 Kissflow
- 12.5.1 Kissflow Company Information
- 12.5.2 Kissflow Business Overview
- 12.5.3 Kissflow Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.5.4 Kissflow AI-powered Low-code Platform Product Portfolio
- 12.5.5 Kissflow Recent Developments
- 12.6 Betty Blocks
- 12.6.1 Betty Blocks Company Information
- 12.6.2 Betty Blocks Business Overview
- 12.6.3 Betty Blocks Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.6.4 Betty Blocks AI-powered Low-code Platform Product Portfolio
- 12.6.5 Betty Blocks Recent Developments
- 12.7 Zoho Creator
- 12.7.1 Zoho Creator Company Information
- 12.7.2 Zoho Creator Business Overview
- 12.7.3 Zoho Creator Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.7.4 Zoho Creator AI-powered Low-code Platform Product Portfolio
- 12.7.5 Zoho Creator Recent Developments
- 12.8 ToolJet
- 12.8.1 ToolJet Company Information
- 12.8.2 ToolJet Business Overview
- 12.8.3 ToolJet Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.8.4 ToolJet AI-powered Low-code Platform Product Portfolio
- 12.8.5 ToolJet Recent Developments
- 12.9 Retool
- 12.9.1 Retool Company Information
- 12.9.2 Retool Business Overview
- 12.9.3 Retool Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.9.4 Retool AI-powered Low-code Platform Product Portfolio
- 12.9.5 Retool Recent Developments
- 12.10 Microsoft
- 12.10.1 Microsoft Company Information
- 12.10.2 Microsoft Business Overview
- 12.10.3 Microsoft Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.10.4 Microsoft AI-powered Low-code Platform Product Portfolio
- 12.10.5 Microsoft Recent Developments
- 12.11 KovaionAI
- 12.11.1 KovaionAI Company Information
- 12.11.2 KovaionAI Business Overview
- 12.11.3 KovaionAI Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.11.4 KovaionAI AI-powered Low-code Platform Product Portfolio
- 12.11.5 KovaionAI Recent Developments
- 12.12 Evoke Technologies
- 12.12.1 Evoke Technologies Company Information
- 12.12.2 Evoke Technologies Business Overview
- 12.12.3 Evoke Technologies Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.12.4 Evoke Technologies AI-powered Low-code Platform Product Portfolio
- 12.12.5 Evoke Technologies Recent Developments
- 12.13 Vantiq
- 12.13.1 Vantiq Company Information
- 12.13.2 Vantiq Business Overview
- 12.13.3 Vantiq Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.13.4 Vantiq AI-powered Low-code Platform Product Portfolio
- 12.13.5 Vantiq Recent Developments
- 12.14 Newgen
- 12.14.1 Newgen Company Information
- 12.14.2 Newgen Business Overview
- 12.14.3 Newgen Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.14.4 Newgen AI-powered Low-code Platform Product Portfolio
- 12.14.5 Newgen Recent Developments
- 12.15 Convertigo
- 12.15.1 Convertigo Company Information
- 12.15.2 Convertigo Business Overview
- 12.15.3 Convertigo Revenue in AI-powered Low-code Platform Business (2021-2026)
- 12.15.4 Convertigo AI-powered Low-code Platform Product Portfolio
- 12.15.5 Convertigo Recent Developments
13 Report Conclusion
14 Disclaimer
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