No-Code AI platform Market – Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Component (No-Code AI Platforms, Services), By Organization Size (Large Enterprises, Small and Medium Enterprises), By Technology (Data Preparation and Integration Tools, Predictive Analytics, Automated Machine Learning (AutoML), Natural Language Processing, Computer Vision, Others), By Industry (BFSI, IT & Telecom, Energy & Utilities, Retail & E-Commerce, Healthcare, Manufacturing, Government, Education, Others), By Region, By Competition Forecast & Opportunities, 2021-2031F

Forecast Period	2027-2031
Market Size (2025)	USD 6.22 Billion
CAGR (2026-2031)	27.97%
Fastest Growing Segment	Large Enterprises
Largest Market	North America
Market Size (2031)	USD 27.32 Billion

Market Overview

The Global No-Code AI platform Market will grow from USD 6.22 Billion in 2025 to USD 27.32 Billion by 2031 at a 27.97% CAGR. The Global No-Code AI Platform Market consists of visual development environments that enable business users to create, deploy, and manage artificial intelligence models without programming expertise. Key drivers fueling this market include the democratization of data science, the imperative for digital transformation agility, and the necessity to bridge the widening technical skills gap. Organizations increasingly adopt these tools to reduce reliance on specialized engineering teams while accelerating deployment. According to the IEEE, in 2024, 65% of global technology leaders identified artificial intelligence as the most important area of technology, a prioritization that directly accelerates the demand for accessible implementation tools.

However, the market faces a substantial challenge regarding governance and data security, often manifested as shadow IT. As non-technical staff independently develop applications, enterprises struggle to maintain regulatory compliance and data integrity without centralized oversight. This lack of control creates significant vulnerabilities. According to ISACA, in 2024, only 15% of organizations had established a formal policy governing the use of AI technology, highlighting a critical governance gap that could impede widespread enterprise adoption.

Key Market Drivers

The critical shortage of skilled data science professionals acts as a primary catalyst for the adoption of no-code AI platforms. As enterprises face widening gaps between their AI ambitions and available technical talent, they are increasingly compelled to leverage platforms that empower existing staff to build solutions without extensive coding knowledge. These visual development environments effectively democratize technical capabilities, allowing business analysts and domain experts to bypass the bottleneck of specialized engineering recruitment. According to Salesforce, April 2024, in the 'Public Sector AI Skills' report, 60% of IT professionals identified a lack of AI expertise as their primary obstacle to implementation, underscoring the urgent operational need for low-barrier development tools.

Advancements in Generative AI and Natural Language Processing further accelerate this market by simplifying the user interface of development platforms. Contemporary no-code solutions now integrate Large Language Models (LLMs) that allow users to generate complex workflows and applications through conversational prompts rather than drag-and-drop interfaces alone. This evolution has expanded the user base significantly, driving a rapid increase in AI projects. According to GitHub, October 2024, in the 'Octoverse 2024' report, global contributions to generative AI projects surged by 59% year-over-year, reflecting the substantial activity enabled by these accessible technologies. Consequently, this accessibility drives broader workforce engagement; according to Microsoft, in 2024, 75% of knowledge workers reported using AI tools at work, validating the market's shift toward decentralized, user-friendly AI adoption.

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Key Market Challenges

The challenge of governance and data security, particularly the proliferation of Shadow IT, constitutes a primary obstacle hampering the growth of the Global No-Code AI Platform Market. While these platforms are designed to democratize technology, the capability for non-technical staff to independently develop and deploy models creates significant oversight blind spots. Enterprises face the risk that sensitive proprietary data may be exposed through unsecured applications or that models may be deployed without adhering to necessary regulatory standards. Consequently, IT departments often respond by restricting access to these platforms to mitigate liability, which directly negates the speed and agility that drive the market's value proposition.

This widespread unauthorized use creates a tangible security threat that stalls enterprise-wide adoption. According to the National Cybersecurity Alliance, in 2024, approximately 38% of employees admitted to sharing confidential work data with artificial intelligence platforms without organizational approval. Such statistics reinforce the reluctance of corporate leadership to fully embrace no-code environments. Until organizations can ensure that citizen development does not compromise data integrity, the deployment of these tools will likely remain limited to isolated pilots rather than scalable, business-critical solutions.

Key Market Trends

The Convergence of No-Code AI with Hyperautomation and RPA is fundamentally reshaping the market by merging visual development with enterprise-grade process optimization. Rather than deploying isolated applications, organizations are leveraging these unified environments to embed intelligence directly into established robotic process automation (RPA) pipelines, enabling end-to-end management of complex business operations. This synergy allows citizen developers to orchestrate sophisticated data handling and decision-making tasks that previously required hard-coded interventions, effectively bridging the gap between simple task automation and intelligent enterprise architecture. According to UiPath, September 2024, in the 'State of the Automation Professional Report 2024', 81% of automation professionals indicated that they used AI products in their automation projects at least a few times per week, signaling a massive shift toward integrated, intelligent automation strategies within the enterprise.

Simultaneously, the Emergence of Autonomous AI Agents and Multi-Step Workflows represents a critical evolution from simple task assistance to full delegation of responsibility. Unlike earlier generations of tools that required continuous human guidance to generate outputs, the latest platforms empower users to deploy agents capable of executing multi-stage objectives independently, acting on behalf of the user to navigate systems and complete work without intervention. This capability transforms the value proposition of no-code platforms from mere creation tools to active workforce partners that execute business outcomes. According to Slack, November 2024, in the 'Fall 2024 Workforce Index', 23% of desk workers reported that they had assigned tasks to an AI agent to complete on their behalf, highlighting the rapid adoption of this agentic model in the workplace.

Segmental Insights

Based on insights from trusted market research, the Large Enterprises segment is witnessing accelerated growth within the Global No-Code AI Platform Market. This rapid expansion is primarily driven by the strategic imperative to democratize artificial intelligence across extensive organizational structures, effectively bridging the critical gap in technical talent. Major corporations are increasingly adopting these platforms to empower non-technical staff, enabling the swift deployment of AI models for complex workflows. Consequently, large organizations are leveraging no-code solutions to expedite digital transformation, enhance operational agility, and reduce dependency on specialized data science teams.

Regional Insights

North America maintains a leading position in the global No-Code AI platform market, driven by the early adoption of automation technologies and a high concentration of key industry players. The region benefits from substantial capital investment in software development and a mature cloud infrastructure that supports scalable deployment. Additionally, enterprises in the United States are increasingly integrating these platforms to bridge the technical skills gap and accelerate digital transformation. This market dominance is further sustained by a competitive business environment that prioritizes operational agility and rapid application development to meet evolving commercial demands.

Recent Developments

• In June 2025, Creatio unveiled its version 8.3 update, titled the "Twin" release, which marked a significant step in combining human workflows with AI-powered counterparts. The release introduced AI Agents capable of augmenting teams in sales, marketing, and customer service, as well as assisting in no-code application development. These digital twins were designed to work alongside employees to deliver faster results and streamline operations. The update emphasized the platform's AI-native architecture, empowering organizations to deploy intelligent automation that enhances decision-making and accelerates the time-to-value for business applications.
• In March 2025, Jotform introduced Jotform Boards, a new no-code tool designed to centralize and resolve customer requests from multiple channels. This solution connected inputs from forms, AI agents, and workflows into a single interface, allowing teams to track and manage tasks efficiently without manual data entry. Users could link specific boards to different channels, automatically routing tasks—such as orders or refund requests—to the appropriate board based on the inquiry type. This launch aimed to streamline customer service operations and enhance collaboration by eliminating the need to toggle between third-party platforms.
• In December 2024, Appian announced the latest version of its platform, featuring significant advancements in process automation and enterprise AI. A key addition was Appian Autoscale, a feature designed to handle high-volume, straight-through processes, enabling organizations to scale millions of process instances per hour. The release also enhanced the AI Copilot for data fabric, allowing users to obtain faster, transparent insights from enterprise data using natural language. These updates focused on improving operational efficiency and scalability for complex business workflows, ensuring compliance and robust performance for large-scale applications.
• In September 2024, ServiceNow launched the Now Platform Xanadu release, introducing hundreds of new AI capabilities to enhance enterprise productivity. The update integrated agentic AI features, enabling autonomous agents to perform complex, multi-step tasks in IT and customer service workflows with minimal human oversight. This release also expanded the company's generative AI portfolio to mission-critical functions such as security and procurement operations. By embedding these advanced automation tools directly into the platform, the company aimed to boost agility and improve employee experiences across various business sectors.

Key Market Players

• Microsoft Corporation
• GOOGLE LLC
• International Business Machines Corporation
• Salesforce.com, Inc..
• Amazon Web Services, Inc.
• APPIAN CORPORATION
• OutSystems
• Mendix B.V.
• PEGASYSTEMS INC.
• Quick Base, Inc.

By Component	By Organization Size	By Technology	By Industry	By Region
No-Code AI Platforms Services	Large Enterprises Small and Medium Enterprises	Data Preparation and Integration Tools Predictive Analytics Automated Machine Learning (AutoML) Natural Language Processing Computer Vision Others	BFSI IT & Telecom Energy & Utilities Retail & E-Commerce Healthcare Manufacturing Government Education Others	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global No-Code AI platform Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

• No-Code AI platform Market, By Component:

• No-Code AI Platforms
• Services

• No-Code AI platform Market, By Organization Size:

• Large Enterprises
• Small and Medium Enterprises

• No-Code AI platform Market, By Technology:

• Data Preparation and Integration Tools
• Predictive Analytics
• Automated Machine Learning (AutoML)
• Natural Language Processing
• Computer Vision
• Others

• No-Code AI platform Market, By Industry:

• BFSI
• IT & Telecom
• Energy & Utilities
• Retail & E-Commerce
• Healthcare
• Manufacturing
• Government
• Education
• Others

• No-Code AI platform Market, By Region:

• North America
• United States
• Canada
• Mexico
• Europe
• France
• United Kingdom
• Italy
• Germany
• Spain
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• South America
• Brazil
• Argentina
• Colombia
• Middle East & Africa
• South Africa
• Saudi Arabia
• UAE