No-code AI Platforms Market (2025 - 2033) Size, Share & Trends Analysis Report By Component (Platform, Services), By Technology (NLP, Computer Vision), By Enterprise Size, By Deployment, By Vertical, By Region And Segment Forecasts

No-code AI Platforms Market Summary

Organizations across industries are prioritizing operational efficiency, cost optimization, and data-driven decision-making, which requires rapid deployment of AI capabilities without long development cycles.

The rapid evolution and deployment of AI and machine learning worldwide contribute to market growth. Technologies such as automated machine learning are gaining popularity as they are designed for firms that lack ML competence. In addition, the adoption of IoT, edge computing, and data science solutions and services has increased across numerous industries, further boosting the market growth. Overall, no-code AI platforms assist in reducing defects, improving delivery time, and making data science more practical, providing lucrative prospects for market growth during the forecast period.

No-code AI solutions empower business users to automate repetitive tasks, generate insights, and build predictive models independently, reducing pressure on IT teams and improving time-to-value. As enterprises increasingly pursue digital transformation and seek agility and innovation, the ability of no-code AI platforms to support faster experimentation and streamlined AI integration becomes a crucial driver of market growth.

No-code AI platforms enable the development of AI models without the need for AI professionals. Building AI models takes time, effort, and experience. No-code AI platform decreases the time required to construct AI models to minutes, allowing enterprises to incorporate machine learning models into their processes easily. No-code AI solutions lower the entry barriers for individuals and enterprises to begin experimenting with AI and machine learning. These solutions enable businesses to swiftly and affordably implement AI models, allowing their domain experts to benefit from cutting-edge technology.

The expanding focus on hyper-personalization and real-time decision intelligence is emerging as a key driver for no-code AI platforms. Enterprises increasingly require AI models that can rapidly adapt to shifting customer behaviors, market conditions, and operational demands without lengthy development cycles. No-code AI tools accelerate experimentation, enabling teams to deploy personalized recommendations, automated decision rules, and contextual analytics instantly. As data volumes surge and customer experience becomes a competitive differentiator, organizations rely on no-code AI to enable faster, scalable, and highly adaptive AI-driven outcomes.

Component Insights

Platform dominated the market with a share of over 76.6% in 2024, primarily driven by the growing demand for centralized, scalable, and user-friendly environments that enable end-to-end AI development without technical expertise. Organizations are increasingly prioritizing integrated platforms that consolidate data preparation, model building, deployment, and monitoring within a single interface, reducing reliance on fragmented tools. The rising need for faster time-to-value, automation of complex workflows, and seamless integration with enterprise applications further accelerates platform adoption. In addition, improved security, governance, and collaboration features make platforms the preferred choice for large-scale AI modernization.

The services segment is expected to register the highest CAGR over the forecast period. Services in the no-code AI market study include professional services, consulting, support & maintenance services, and training & education. No-code AI services help organizations drive growth by enabling them to develop, deploy, and manage machine learning models efficiently. By leveraging these services, organizations can accelerate time-to-market, improve model accuracy, enhance operational efficiency, expand use cases, and facilitate collaboration.

Deployment Insights

On-premises dominated the market in 2024. This is attributed to the numerous benefits offered by the on-premises deployment, such as high data safety and security. Enterprises prefer the on-premises model, as keeping data and models within a company's data center ensures they are secure and protected from external threats. In addition, with on-premises infrastructure, enterprises have greater control over their machine-learning pipeline, which can improve efficiency and reduce costs.

The cloud segment is expected to register the highest CAGR over the forecast period. Cloud services provide centralized storage and accessibility to data and applications from anywhere with an internet connection. Users can store data, models, and applications in the cloud, making them easily accessible to users and collaborators. This promotes seamless collaboration and enables real-time updates and version control across multiple team members.

Enterprise Size Insights

Large enterprises dominated the market in 2024, owing to the growing implementation of AI technology and data science across large enterprises to present quantitative insights into their operations. Individual departments in larger organizations use no-code AI to automate processes that integrate into CRM and ERP systems. No-code AI platforms assist in eliminating the friction that exists between corporate processes, improving operational effectiveness, lowering costs, and producing more dependable outcomes. No-code AI platforms empower large enterprises to leverage AI technologies more efficiently, drive innovation, and achieve business objectives effectively.

The SMEs segment is expected to register the highest CAGR over the forecast period. SMEs are increasingly recognizing the value of adopting no-code AI platforms to drive growth and gain a competitive edge in their respective industries. AI development often involves high upfront costs, including hiring specialized talent and infrastructure investment. No-code AI platforms offer a more cost-effective alternative by eliminating the need for extensive coding and reducing the reliance on highly skilled professionals. SMEs can leverage no-code platforms to build AI applications at a fraction of the cost associated with traditional development methods. SMEs can utilize these platforms to develop AI applications without needing dedicated data scientists or software developers. The visual interfaces and pre-built components make it easier for SMEs to adopt and implement AI within their operations.

Vertical Insights

IT & telecom dominated the market in 2024. No-code AI platforms enable IT departments to automate various operational tasks. These platforms assist in automating infrastructure monitoring, log analysis, and incident management. By leveraging AI capabilities, IT teams can detect anomalies, predict potential issues, and proactively resolve them, resulting in improved system reliability, reduced downtime, and enhanced IT service delivery. In addition, no-code AI platforms assist IT companies in optimizing their networks and infrastructure. By analyzing network data and patterns, AI models built on no-code platforms can identify areas for improvement, predict network congestion, and recommend optimization strategies. This enables IT teams to proactively address potential issues, enhance network performance, and provide better service to customers.

BFSI is expected to register the highest CAGR over the forecast period. BFSI organizations enhance their customer experience by building AI-driven chatbots and virtual assistants. These chatbots handle customer queries, provide personalized recommendations, and facilitate self-service options. No-code AI platforms make it easier for BFSI organizations to train these chatbots using natural language processing (NLP) capabilities, enabling improved customer engagement and support.

Technology Insights

The Natural Language Processing (NLP) segment dominated the market in 2024. NLP allows AI systems to understand and interpret human language. By integrating NLP into no-code AI platforms, users can build applications that can understand and respond to user inputs naturally and intuitively. This opens up possibilities for creating virtual assistants, chatbots, and language-based interfaces without complex coding. Moreover, growing enterprise demand for automated text analytics, sentiment analysis, and content generation significantly boosts NLP adoption in no-code platforms. Increasing integration of NLP-powered workflows across customer service, marketing, and compliance functions further accelerates market growth by enabling faster decision-making and improved operational efficiency.

Computer vision is expected to register the highest CAGR over the forecast period, due to its ability to understand and interpret visual data, such as images and videos. Users can build applications that can analyze and extract meaningful information from visual content by integrating computer vision into no-code AI platforms. This opens up possibilities for tasks like image recognition, object detection, and image-based search without extensive coding. For instance, the low-code AI vision platform of viso.ai, a technology company that builds next-gen infrastructure for visual AI applications, allows the creation of custom deep learning and computer vision applications that process video feeds of multiple cameras with deployed AI algorithms.

Regional Insights

North America dominated the no-code AI platforms market with a revenue share of over 39.6% in 2024, owing to AI's strong research and development capabilities in developed economies, research institutes, and several prominent AI enterprises in this region. Increased investment in innovative technology to improve customer experience and corporate processes is expected to generate profitable growth prospects in North America. Furthermore, this region has excellent R&D expertise in AI and has significantly invested in AI-related technology in recent years. They have also implemented policies to aid in the development of the field.

U.S. No-code AI Platforms Market Trends

The no-code AI platforms market in the U.S. is expected to grow significantly in 2024. The U.S. has a diverse and highly dynamic business environment with numerous small and medium-sized enterprises that require a large number of IT resources. No-code AI platforms empower these businesses to utilize artificial intelligence tools across an array of applications without the need for specialized technical expertise.

Europe No-code AI Platforms Market Trends

The no-code AI platforms market in Europe is expected to grow significantly over the forecast period. The no-code AI platforms in Europe are expediting the development of AI applications, enabling businesses to bring their innovations to market more swiftly. This quick turnaround is essential in the dynamic and highly competitive business environment in Europe. No-code platforms are empowering professionals across Europe to engage in AI-driven problem-solving across a spectrum of industries in the region without the need for extensive coding skills. This enhanced efficiency streamlines processes and contributes to promoting a culture of innovation. The growing adoption of AI solutions and tools in Europe is driving the popularity of no-code AI platforms.

Asia Pacific No-code AI Platforms Market Trends

The no-code AI platforms market in the Asia Pacific region is anticipated to be at the fastest CAGR over the forecast period. The region has a thriving start-up ecosystem, with numerous technology start-ups emerging in various countries such as China, India, Singapore, and South Korea. Many of these start-ups focus on AI and seek accessible tools to build AI applications. No-code AI platforms provide an advanced solution for these start-ups, enabling them to develop AI applications without requiring extensive technical resources and expertise. Furthermore, no-code AI platforms that cater to the specific needs and languages of the Asia Pacific market are gaining traction. These platforms offer localized interfaces, language support, and industry-specific solutions to address the unique requirements of businesses in the region.

Key No-code AI Platforms Company Insights

Some key companies in the market are Google LLC and Microsoft.

• Microsoft is a key player due to its vast enterprise ecosystem, strong cloud infrastructure, and seamless integration of AI capabilities across business applications. Its Power Platform, including Power Apps and AI Builder, enables users to build AI-driven solutions without coding, accelerating digital transformation.

• Google LLC leads the no-code AI landscape through its advanced machine learning technologies, strong AutoML capabilities, and enterprise-grade cloud infrastructure. Vertex AI and AutoML tools empower users to rapidly develop, train, and deploy AI models without technical expertise, improving scalability and operational efficiency.

Recent Developments

• In July 2025, OnLogic, an industrial computer and edge hardware manufacturer, partnered with Viso.ai, a no-code/low-code computer vision platform provider, to deliver an integrated edge-AI vision solution. This partnership aims to combine OnLogic’s rugged industrial hardware with Viso Suite’s no-code computer-vision software, enabling scalable, reliable deployment of AI vision applications.

• In June 2025, Kore.ai, A conversational AI and no-code AI agent platform provider, partnered with TeKnowledge, a technology consulting firm, to help enterprises scale AI effectively. This partnership aims to combine Kore.ai’s no-code agent platform with TeKnowledge’s expert services, enabling faster deployment of AI solutions with strategic execution and long-term transformation.

• In May 2025, Kore.ai entered a strategic collaboration agreement with Amazon Web Services, Inc. This partnership aims to integrate Kore.ai’s no-code AI agent platform with Amazon Web Services, Inc. services such as Bedrock, Q, and Connect, helping enterprises deploy scalable, secure AI agents via Amazon Web Services, Inc.  Marketplace.

No-code AI Platforms Market Report Scope

Global No-code AI Platforms Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global no-code AI platforms market report based on component, technology, enterprise size, deployment, vertical, and region:

• Component Outlook (Revenue, USD Billion, 2021 - 2033)

  • No-code AI Platforms

  • Services

• Technology Outlook (Revenue, USD Billion, 2021 - 2033)

  • NLP

  • Computer Vision

  • Predictive Analytics

  • Others

• Deployment Outlook (Revenue, USD Billion, 2021 - 2033)

  • On-premises

  • Cloud

• Enterprise Size Outlook (Revenue, USD Billion, 2021 - 2033)

  • Large Enterprises

  • SMEs

• Vertical Outlook (Revenue, USD Billion, 2021 - 2033)

  • BFSI

  • Healthcare

  • Retail & E-Commerce

  • IT & Telecom

  • Energy & Utilities

  • Government & Public Sector

  • Others

• Regional Outlook (Revenue, USD Billion, 2021 - 2033)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

  • Latin America

    • Brazil

  • Middle East and Africa (MEA)

    • UAE

    • KSA

    • South Africa