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Global no code ai platform market report Size, Share, Growth Drivers, Trends, Opportunities & Forecast 2025–2030

Publisher Ken Research
Published Oct 29, 2025
Length 98 Pages
SKU # AMPS20598052

Description

Global No Code AI Platform Market Overview

The Global No Code AI Platform Market is valued at USD 3.7 billion, based on a five-year historical analysis. This growth is primarily driven by the increasing demand for rapid application development, the rise of digital transformation initiatives across sectors such as BFSI, healthcare, and retail, and the need for businesses to streamline operations without extensive coding knowledge. The accessibility of no-code platforms has empowered non-technical users to create applications, democratizing AI adoption and expanding the market significantly .

Key players in this market include the United States, which leads due to its robust technology ecosystem, high investment in innovation, and a large base of small and medium enterprises adopting no-code solutions. Other dominant regions include Europe, particularly the UK and Germany, where regulatory support and a strong focus on digitalization are fostering market growth. Additionally, Asia-Pacific is emerging as a significant player, driven by rapid urbanization, government digital transformation programs, and a growing tech-savvy population .

In 2023, the European Union implemented the Digital Services Act, issued by the European Parliament and the Council of the European Union, which aims to create a safer digital space and establish a framework for the regulation of digital platforms, including no-code solutions. This regulation emphasizes transparency, user safety, and accountability, encouraging the adoption of no-code platforms while ensuring compliance with data protection and privacy standards .

Global No Code AI Platform Market Segmentation

By Type:

The no-code AI platform market is segmented into various types, including Application Development Platforms, Workflow Automation Tools, Data Integration Solutions, AI-Powered Chatbots, Business Intelligence Tools, Computer Vision Platforms, Natural Language Processing (NLP) Platforms, Predictive Analytics Platforms, and Others. Among these, Application Development Platforms are leading the market due to their user-friendly interfaces and the ability to create applications without extensive coding knowledge. This segment is particularly popular among small and medium enterprises looking to innovate quickly and cost-effectively .

By End-User:

The end-user segmentation of the no-code AI platform market includes Small and Medium Enterprises, Large Enterprises, Government Agencies, Non-Profit Organizations, and Individual Professionals. Small and Medium Enterprises are the dominant segment, as they increasingly adopt no-code solutions to enhance operational efficiency and reduce costs. The flexibility and affordability of these platforms make them particularly appealing to smaller organizations that may lack extensive IT resources .

Global No Code AI Platform Market Competitive Landscape

The Global No Code AI Platform Market is characterized by a dynamic mix of regional and international players. Leading participants such as Airtable, Bubble, Appgyver, OutSystems, Mendix, Microsoft Power Apps, Google AppSheet, Zoho Creator, Salesforce Lightning, Thunkable, Quick Base, Landbot, Nintex, Voiceflow, TIBCO Spotfire, DataRobot, Peltarion, Akkio, Levity, Obviously AI contribute to innovation, geographic expansion, and service delivery in this space.

Airtable

2012

San Francisco, USA

Bubble

2012

New York, USA

OutSystems

2001

Lisbon, Portugal

Mendix

2005

Boston, USA

Microsoft Power Apps

2016

Redmond, USA

Company

Establishment Year

Headquarters

Group Size (Large, Medium, or Small as per industry convention)

Customer Acquisition Cost (CAC)

Customer Retention Rate

Monthly Recurring Revenue (MRR)

Average Deal Size

Pricing Strategy (Freemium, Tiered, Enterprise, etc.)

Global No Code AI Platform Market Industry Analysis

Growth Drivers

Increased Demand for Automation:

The global push for automation is evident, with the automation market projected to reach $214 billion in future, according to the International Federation of Robotics. This surge is driven by businesses seeking efficiency and productivity improvements. In future, 70% of organizations reported increased automation initiatives, highlighting a significant shift towards no-code solutions that enable rapid deployment without extensive coding knowledge, thus meeting the growing demand for streamlined operations.

Rise of Citizen Developers:

The emergence of citizen developers is reshaping the software development landscape. A report from Gartner indicates that by future, 80% of technology products and services will be built by non-IT professionals. This trend is fueled by the accessibility of no-code platforms, allowing individuals with limited technical skills to create applications. In future, 60% of organizations reported an increase in citizen development initiatives, reflecting a shift towards democratizing technology and empowering users.

Cost Efficiency in Development:

Cost efficiency remains a critical driver for adopting no-code platforms. Businesses can save up to 70% on development costs by utilizing no-code solutions, as reported by Forrester Research. In future, companies are expected to allocate approximately $1.5 trillion towards digital transformation, with a significant portion directed towards no-code tools. This financial incentive encourages organizations to adopt these platforms, reducing reliance on traditional development resources and accelerating project timelines.

Market Challenges

Data Security Concerns:

Data security remains a paramount challenge for no-code platforms. In future, 65% of organizations expressed concerns about data
eaches associated with low-code/no-code solutions, according to a survey by Cybersecurity Ventures. As businesses increasingly rely on these platforms, the risk of unauthorized access and data leaks escalates. The global cost of cybercrime is projected to reach $10.5 trillion annually in future, emphasizing the urgent need for robust security measures in no-code environments.

Integration with Legacy Systems:

Integrating no-code platforms with existing legacy systems poses significant challenges. A study by McKinsey found that 75% of organizations struggle with legacy system integration, which can hinder the adoption of no-code solutions. In future, the global legacy system market is expected to be valued at $1.2 trillion, indicating a substantial barrier for businesses looking to modernize their operations. This challenge necessitates strategic planning and investment in integration solutions to ensure seamless functionality.

Global No Code AI Platform Market Future Outlook

The future of the no-code AI platform market appears promising, driven by technological advancements and increasing user adoption. As organizations prioritize digital transformation, the demand for user-friendly solutions will continue to rise. By future, it is anticipated that 90% of new applications will be developed using low-code/no-code platforms. This trend will foster innovation and agility, enabling businesses to respond swiftly to market changes while enhancing operational efficiency and reducing development costs significantly.

Market Opportunities

Expansion into Emerging Markets:

Emerging markets present significant growth opportunities for no-code platforms. With a projected increase in internet penetration rates to 70% in future in regions like Africa and Southeast Asia, businesses can leverage no-code solutions to address local needs. This expansion can drive innovation and create tailored applications, fostering economic growth and digital inclusion in these regions.

Partnerships with Educational Institutions:

Collaborating with educational institutions can enhance the adoption of no-code platforms. By integrating no-code training into curricula, institutions can equip students with essential skills for the future workforce. In future, an estimated 1.5 million students are expected to enroll in technology-related programs, creating a talent pool that can drive innovation and adoption of no-code solutions across various industries.

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Table of Contents

98 Pages
1. Global no code ai platform Size, Share, Growth Drivers, Trends, Opportunities & – Market Overview
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview
2. Global no code ai platform Size, Share, Growth Drivers, Trends, Opportunities & – Market Size (in USD Bn), 2019–2024
2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones
3. Global no code ai platform Size, Share, Growth Drivers, Trends, Opportunities & – Market Analysis
3.1. Growth Drivers
3.1.1. Increased Demand for Automation
3.1.2. Rise of Citizen Developers
3.1.3. Cost Efficiency in Development
3.1.4. Enhanced User Experience
3.2. Restraints
3.2.1. Data Security Concerns
3.2.2. Integration with Legacy Systems
3.2.3. Limited Customization Options
3.2.4. Skill Gap in User Adoption
3.3. Opportunities
3.3.1. Expansion into Emerging Markets
3.3.2. Partnerships with Educational Institutions
3.3.3. Development of Niche Applications
3.3.4. Integration of AI and Machine Learning
3.4. Trends
3.4.1. Growth of Low-Code/No-Code Solutions
3.4.2. Increased Focus on User-Centric Design
3.4.3. Adoption of Cloud-Based Platforms
3.4.4. Shift Towards Agile Development Practices
3.5. Government Regulation
3.5.1. Data Protection Regulations
3.5.2. Compliance with Industry Standards
3.5.3. Incentives for Technology Adoption
3.5.4. Support for Digital Transformation Initiatives
3.6. SWOT Analysis
3.7. Stakeholder Ecosystem
3.8. Competition Ecosystem
4. Global no code ai platform Size, Share, Growth Drivers, Trends, Opportunities & – Market Segmentation, 2024
4.1. By Type (in Value %)
4.1.1. Application Development Platforms
4.1.2. Workflow Automation Tools
4.1.3. Data Integration Solutions
4.1.4. AI-Powered Chatbots
4.1.5. Others
4.2. By End-User (in Value %)
4.2.1. Small and Medium Enterprises
4.2.2. Large Enterprises
4.2.3. Government Agencies
4.2.4. Non-Profit Organizations
4.2.5. Individual Professionals
4.3. By Industry Vertical (in Value %)
4.3.1. Healthcare
4.3.2. Retail
4.3.3. Financial Services
4.3.4. Education
4.4. By Deployment Model (in Value %)
4.4.1. Cloud-Based
4.4.2. On-Premises
4.5. By Pricing Model (in Value %)
4.5.1. Subscription-Based
4.5.2. Pay-As-You-Go
4.5.3. One-Time License Fee
4.6. By Region (in Value %)
4.6.1. North India
4.6.2. South India
4.6.3. East India
4.6.4. West India
4.6.5. Central India
4.6.6. Northeast India
4.6.7. Union Territories
5. Global no code ai platform Size, Share, Growth Drivers, Trends, Opportunities & – Market Cross Comparison
5.1. Detailed Profiles of Major Companies
5.1.1. Airtable
5.1.2. Bubble
5.1.3. Appgyver
5.1.4. OutSystems
5.1.5. Mendix
5.2. Cross Comparison Parameters
5.2.1. Revenue
5.2.2. Market Share
5.2.3. Customer Acquisition Cost (CAC)
5.2.4. Customer Retention Rate
5.2.5. Monthly Recurring Revenue (MRR)
6. Global no code ai platform Size, Share, Growth Drivers, Trends, Opportunities & – Market Regulatory Framework
6.1. Industry Standards
6.2. Compliance Requirements and Audits
6.3. Certification Processes
7. Global no code ai platform Size, Share, Growth Drivers, Trends, Opportunities & – Market Future Size (in USD Bn), 2025–2030
7.1. Future Market Size Projections
7.2. Key Factors Driving Future Market Growth
8. Global no code ai platform Size, Share, Growth Drivers, Trends, Opportunities & – Market Future Segmentation, 2030
8.1. By Type (in Value %)
8.2. By End-User (in Value %)
8.3. By Industry Vertical (in Value %)
8.4. By Deployment Model (in Value %)
8.5. By Pricing Model (in Value %)
8.6. By Region (in Value %)
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