20 No-Code Statistics for 2027: Market Trends, Adoption, and AI App Building

Data-backed evidence showing the growth of no-code AI platforms and how non-technical founders are building applications without writing code

The no-code revolution continues to reshape software development. The low-code development technologies market is projected to reach $58.2 billion by 2029, and platforms like Floot enable non-technical builders to create working web and mobile applications through conversational AI.

Projects that previously required extensive coding and infrastructure setup can now be developed through natural language conversations with Claude or ChatGPT. These figures cover related but distinct low-code and no-code AI markets, offering context rather than direct measures of conversational app building.

Key Takeaways

• No-code AI platforms show strong growth: The market was estimated at $6.4 billion in 2025 and is projected to reach $52.1 billion by 2033, representing significant expansion in accessible AI tools.
• Regional growth varies significantly: Asia-Pacific shows the fastest projected growth at 31.46% CAGR through 2031, while North America held the largest market share at 37.40% in 2025.
• Platform architecture matters: The platform segment accounted for 76.3% of revenue in 2025, exceeding the services segment in Grand View Research's no-code AI platforms market.
• Deployment models reflect security priorities: On-premises and private cloud options captured 56.25% of the market in 2025, showing that control and security remain important for many organizations.
• Conversational building is emerging: Platforms like Floot that integrate with AI assistants represent the convergence of no-code tools with natural language interfaces, making app building more accessible.

The No-Code AI Platform Market: Growth Projections and Trends

The no-code movement is evolving from drag-and-drop interfaces toward AI-powered conversational development. Market research from multiple sources shows consistent growth projections, though specific figures vary by how researchers define the market scope.

1. Low-code development technologies projected to reach $58.2 billion by 2029

Gartner projects a $58.2 billion market by 2029 for low-code development technologies. This forecast reflects continued enterprise investment in tools that accelerate application development through visual interfaces, pre-built components, and managed infrastructure. The projection encompasses platforms that reduce but do not eliminate the need for traditional coding expertise. Gartner also identifies agentic AI and citizen development as important growth drivers.

2. No-code AI platforms estimated at $6.4 billion in 2025, projected to reach $52.1 billion by 2033

Grand View Research estimated the no-code AI platforms market at $6.4 billion in 2025 and projects it to reach $52.1 billion by 2033, with a compound annual growth rate of 29.8% from 2026 to 2033. This segment focuses on platforms that integrate artificial intelligence capabilities without requiring specialized machine learning expertise, including natural language processing, computer vision, and predictive analytics. The forecast represents approximately eightfold growth between 2025 and 2033. These figures do not directly measure conversational app-building platforms.

3. No-code AI platforms projected to grow at 29.8% CAGR from 2026 to 2033

The no-code AI platforms market is projected to grow at a 29.8% CAGR from 2026 to 2033, according to Grand View Research. This growth rate significantly outpaces traditional enterprise software markets and reflects increasing demand for accessible artificial intelligence tools. The high CAGR indicates that AI integration is becoming a standard expectation rather than a premium feature.

Platform Architecture and Technology Segments

How no-code platforms are built affects what builders can create and how applications scale. Market data shows clear preferences emerging around platform architecture and component design.

4. Platforms held 76.3% of no-code AI platform market revenue in 2025

The platform segment accounted for 76.3% of market revenue in 2025, according to Grand View Research. This segment covers the no-code AI platforms themselves, rather than professional services such as consulting, support, maintenance, or training. Its larger share suggests spending favored platform products over services in that year, though the figure does not measure adoption of any individual app builder.

5. Gartner forecast 70% of new applications would use low-code or no-code by 2025

In 2021, Gartner forecast that 70% of new applications developed by enterprises would use low-code or no-code technologies by 2025, up from less than 25% in 2020. This forecast highlighted the expected shift from traditional development approaches toward visual and AI-assisted building tools. While this was a projection rather than a measured outcome, it indicated expectations of mainstream adoption of no-code approaches for enterprise application development.

Deployment Models and Security Considerations

Where applications run and how data is controlled matter significantly to enterprises evaluating no-code platforms. Market segmentation by deployment model reveals organizational priorities around security and governance.

6. On-premises and private cloud deployments accounted for 56.25% of market share in 2025

On-premises and private cloud deployment models accounted for 56.25% of the no-code AI platform market in 2025, according to Mordor Intelligence. This majority share indicates that despite the convenience of fully managed SaaS platforms, many organizations prioritize deployment options that provide greater control over data, infrastructure, and security configurations. Industries with strict regulatory requirements particularly favor these deployment approaches for data governance.

7. Public-cloud SaaS no-code AI platforms projected to grow at 32.85% CAGR through 2031

Mordor Intelligence projects public-cloud SaaS deployments in the no-code AI platform market to grow at 32.85% CAGR through 2031. This forecast measures growth in cloud-delivered offerings, not the deployment share already held by on-premises and private-cloud options. The distinction matters for readers comparing current enterprise preferences with future changes in adoption across deployment models and security requirements. It is not a measured adoption outcome.

Regional Market Distribution and Growth Rates

No-code platform adoption varies significantly by geography, influenced by factors including developer availability, labor costs, digital transformation priorities, and regulatory environments.

8. North America held 37.40% of the no-code AI platform market in 2025

North America held 37.40% of the global no-code AI platform market in 2025, according to Mordor Intelligence. This represents the largest regional market share, driven by high enterprise technology spending, mature cloud infrastructure, and a significant shortage of professional developers. The concentration of venture capital and startup activity in North America also contributes to early adoption of emerging development platforms.

9. Asia-Pacific no-code AI platform market projected to grow at 31.46% CAGR through 2031

The Asia-Pacific no-code AI platform market is projected to grow at 31.46% CAGR from 2026 to 2031, making it the fastest-growing region in Mordor Intelligence's forecast. This accelerated growth reflects rapid digital transformation across the region, increasing smartphone penetration, growing middle-class populations, and government initiatives supporting technology adoption.

10. SME segment of no-code AI platform market projected to grow at 38.62% CAGR through 2031

The SME segment of the no-code AI platform market is projected to grow at 38.62% CAGR through 2031, according to Mordor Intelligence. Small and medium enterprises represent the fastest-growing customer segment, as these businesses seek competitive advantages through custom applications but lack dedicated development teams. No-code tools enable SMEs to build internal tools, customer portals, and automation workflows that were previously only accessible to larger organizations with extensive IT resources.

Additional No-Code AI Market Forecasts

Alongside the broader estimates above, Mordor Intelligence provides a separate market forecast using its own definitions and methodology. Its figures should not be treated as directly interchangeable with Grand View Research's estimates.

11. Mordor Intelligence estimated the no-code AI platform market at $4.88 billion in 2026

Mordor Intelligence estimated the global no-code AI platform market at $4.88 billion in 2026, compared with a reported $4.06 billion value for 2025. The estimate covers AI-platform tools within the firm's research framework, including enterprise uses such as process automation and analytics. This is a different research series from Grand View Research's market estimates, so the two numbers should not be interpreted as a single continuous dataset.

12. Mordor Intelligence projects a $12.25 billion no-code AI platform market by 2031

Mordor Intelligence expects its no-code AI platform market category to reach $12.25 billion by 2031. This is a forecast rather than a measured outcome, based on the firm's 2026 market estimate and modeled growth trajectory. The projected total reflects demand for accessible AI capabilities across organizations. It should be read within the report's scope and not equated with the larger low-code development technologies market measured by Gartner.

13. Mordor Intelligence forecasts 20.19% market CAGR from 2026 to 2031

Mordor Intelligence projects 20.19% CAGR for the no-code AI platform market from 2026 to 2031. This rate connects the firm's $4.88 billion estimate for 2026 with its $12.25 billion forecast for 2031. It is a forward-looking growth estimate, not a historical adoption rate. Differences from other published CAGRs reflect distinct market definitions, forecasting models, and periods, rather than necessarily conflicting findings about the same market.

Component, AI Capability, and Deployment Trends

Market segments show how spending is distributed among platforms, services, and AI functionality. They also illustrate why headline market-growth figures do not describe every type of no-code tool equally.

14. Platforms and solutions held 67.20% of market revenue in 2025

Platforms and solutions accounted for 67.20% of revenue in the no-code AI platform market in 2025, according to Mordor Intelligence. This was the leading component category in that report, ahead of services such as implementation and support. The number measures how market revenue was distributed, not the share of businesses using no-code products. It also comes from a different research framework than Grand View Research's 2025 platform-share estimate.

15. No-code AI platform services projected to grow at 29.74% CAGR through 2031

Mordor Intelligence forecasts a 29.74% CAGR for services associated with no-code AI platforms from 2026 to 2031. The services category includes support for implementation, optimization, and organizational adoption rather than the underlying platform products alone. This projected growth suggests organizations may continue to need assistance with governance and operational change even when tools become easier to use. It does not mean every deployment requires outside consultants.

16. Predictive and prescriptive analytics held 50.35% of market share in 2025

Predictive and prescriptive analytics accounted for 50.35% of the market by technology in 2025, according to Mordor Intelligence. These capabilities help organizations estimate outcomes and recommend actions using data-driven models. Their leading share shows that no-code AI demand extends beyond chat interfaces and generative content. The statistic describes a technology segment of no-code AI platforms, not a percentage of businesses that adopted analytics tools during the year.

17. Multimodal generative AI projected to grow at 44.26% CAGR through 2031

Mordor Intelligence expects multimodal generative AI capabilities within its no-code AI platform market to expand at 44.26% CAGR through 2031. Multimodal tools work with more than one type of input or output, such as text, images, and audio. The forecast points to growing interest in AI workflows beyond text-based automation. It does not establish that every no-code app builder already supports these capabilities or that adoption outcomes are guaranteed.

18. Image and video processing applications projected to grow at 36.48% CAGR through 2031

Image and video processing applications in the no-code AI platform market are projected to grow at 36.48% CAGR from 2026 to 2031, according to Mordor Intelligence. These applications support tasks such as analyzing images, identifying objects, and processing visual information. The estimate concerns a specific data-modality segment rather than all no-code platforms. It shows how specialized AI applications can have growth profiles different from the overall market forecast.

Enterprise and Industry Market Distribution

Organization size and industry also influence the types of no-code AI projects being funded. Revenue share reflects current spending, while forecast growth rates describe possible future changes.

19. Large enterprises held 63.10% of no-code AI platform market revenue in 2025

Large enterprises accounted for 63.10% of revenue in the no-code AI platform market in 2025, according to Mordor Intelligence. The figure reflects the market's revenue mix, not the percentage of large organizations using no-code AI. Larger companies often have more extensive automation needs and budgets for deployment. At the same time, the report forecasts faster growth among small and medium enterprises, which may gradually change the distribution.

20. Banking, financial services, and insurance held 22.45% of market revenue in 2025

Banking, financial services, and insurance (BFSI) represented 22.45% of revenue in the no-code AI platform market in 2025, according to Mordor Intelligence. The segment was the largest industry vertical in that year's estimates. These organizations use AI tools for customer support, analytics, and process workflows, while facing governance and data-security requirements. The number describes a revenue share, not the proportion of financial institutions using no-code platforms.

How Floot Simplifies AI-Powered Web and Mobile App Development

Conversational AI is making app development more accessible to non-technical founders. Floot uses Model Context Protocol (MCP) to connect Claude and ChatGPT with managed full-stack infrastructure. Builders can describe their requirements, create and edit applications, and publish them without configuring backend services. Floot complements AI coding tools rather than replacing them.

• Managed Postgres databases for storing application data
• Built-in authentication for user accounts and secure logins
• Automatic hosting and deployment for published applications
• Storage, payments, and email for common business workflows
• Third-party integrations with Stripe, PayPal, analytics, and automation services through supported integrations
• Mobile app packaging for iOS and Android, subject to store approval
• Code and data ownership on every plan, with ZIP export on paid plans

Floot is free to start, with paid plans offering higher daily building limits and hosting allowances. Building through Claude or ChatGPT uses the user's existing AI subscription, while hosting overages and optional AI features are billed separately. Its mobile workflows support app packaging, but developer accounts remain necessary. Explore the Floot showcase for examples of community-built applications.

Frequently Asked Questions

What is the current size and growth rate of the no-code market?

Gartner projects the low-code development technologies market to reach $58.2 billion by 2029. Separately, Grand View Research values the no-code AI platforms market at $6.4 billion in 2025 and projects it to reach $52.1 billion by 2033, with a projected CAGR of 29.8% from 2026 to 2033. Mordor Intelligence reports a separate $4.88 billion estimate for 2026 and a $12.25 billion forecast for 2031. These figures represent different market definitions and should not be directly compared.

Can non-technical people build production applications with no-code?

Non-technical builders can create working applications using no-code platforms and AI assistants, particularly when the platform manages databases, authentication, and hosting. For example, Floot provides these services through its AI assistant connector. However, production readiness depends on the application's requirements, testing, security review, and ongoing maintenance. Complexity increases with custom integrations, advanced features, and scale requirements.

How much faster is no-code compared to traditional development?

Development timelines vary widely based on application complexity, platform capabilities, integration requirements, and team experience. No-code and low-code platforms can reduce time for certain types of applications by simplifying interfaces, workflows, and infrastructure setup. However, actual delivery times depend on specific project factors and should be evaluated case by case rather than assumed from average benchmarks.

What cost savings can I expect from using no-code?

Development costs depend on application complexity, platform subscriptions, integrations, maintenance, and hosting usage. No-code tools can reduce some development expenses by eliminating the need to hire specialized developers for certain tasks and providing pre-built components. However, savings vary significantly by project and are not guaranteed. Organizations should evaluate total cost of ownership including platform fees, hosting overages, integration costs, and ongoing maintenance. See Floot pricing for its current plan and hosting allowances.

How does AI change no-code development?

AI features are increasingly being incorporated into no-code platforms, allowing users to describe application requirements in natural language. Conversational building complements visual development tools rather than eliminating the need for them. Platforms that integrate with AI assistants like Claude or ChatGPT enable builders to generate application components, database schemas, and workflows through conversation, reducing the learning curve for people without technical backgrounds. Floot documents its connector workflow for both assistants.