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The no-code/low-code industry is experiencing rapid growth, driven by the increasing demand for digital transformation and the need for businesses to build custom applications and automate workflows without extensive coding. AI integration is a key trend, enabling more powerful and intelligent applications. The market is becoming more competitive with established players and new entrants vying for market share across diverse organizational sizes, from SMBs to large enterprises.
Total Assets Under Management (AUM)
Market Size of Low-code Development Platform in United States
~30.4 billion USD (2023)
(31.9% CAGR)
- Increased demand for rapid application development.
- Growing adoption of digital transformation initiatives.
- Rise of citizen developers across organizations.
30.4 billion USD
Generative AI will enable non-technical users to describe desired application features in natural language, and the AI will automatically generate the corresponding no-code/low-code components or entire applications.
Advanced AI will autonomously analyze workflows, identify inefficiencies, and suggest or even implement optimizations and automations without explicit user programming.
Integrating blockchain will provide immutable data trails and enhanced security for critical business processes, increasing trust and transparency in data management within no-code applications.
This approach will allow businesses to assemble applications from pre-built, independently developed, and deployable modules, offering unprecedented flexibility and reusability.
The CPRA expands on the CCPA, giving California consumers more control over their personal information and establishing the California Privacy Protection Agency (CPPA) to enforce these rights.
This necessitates robust data governance, consent management, and data deletion capabilities within no-code platforms handling consumer data.
This act outlines a national strategy for artificial intelligence research and development, establishing various programs and initiatives to advance U.S. leadership in AI.
While not a direct regulation, it signals increased governmental focus and potential future regulatory frameworks around AI ethics, bias, and accountability, impacting AI features in no-code platforms.
CISA regularly issues Binding Operational Directives and Emergency Directives that federal agencies must follow to secure their information systems, often setting de facto standards for private sector partners.
These directives influence the security and compliance features required for no-code platforms, particularly those serving government contractors or handling sensitive data.
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