No-code AI Platform Market Size, Share & Trends Analysis Report By Component, By Technology (NLP, Computer Vision, Predictive Analytics, Others), By Deployment, By Enterprise Size, By Vertical, By Region, And Segment Forecasts, 2023 - 2030

Report Overview

The global no-code AI platform market size was valued at USD 3.06 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 27.3% from 2023 to 2030. No-code Al platforms are also known as Al development platforms, and they provide non-programmers and non-Al experts with the tools they need to implement Al projects. Al practitioners and specialists can also utilize them in their initiatives. No-code Al platforms may not be as capable as Al platforms that require programming and other knowledge. They still serve the essential function of using Al to develop software and projects for a more significant number of users and beginners.

A growing number of Al enterprises worldwide are projected to impact the global market positively. As the number of domain experts grows, so does the gap between them and Al specialists. Al specialists' extensive expertise assists domain experts in resolving technology-related difficulties. No-code Al tools would open up new opportunities for domain experts to better communicate and test their ideas with Al experts.

Furthermore, the rapid evolution and deployment of Al and machine learning worldwide contributes to the growth of the no-code AI platform market. Technologies such as automated machine learning are gaining popularity as they are designed for firms that lack ML competence. Additionally, the adoption of IoT, edge computing, and data science solutions and services has increased across numerous industries, further boosting the market’s 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 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.

Component Insights

The no-code AI platforms segment led the market in 2022, accounting for over 76% share of the global revenue. The no-code AI platforms have gained popularity because they democratize AI development and enable individuals and organizations to leverage AI capabilities without requiring extensive technical expertise. No-code AI tools eliminate the barrier of entry for individuals who lack programming skills but still want to leverage AI technology.

They provide a user-friendly interface and drag-and-drop functionality, making creating AI models and applications easy. For instance, in May 2022, Basetwo Artificial Intelligence Inc., a SaaS AI platform for manufacturers, announced securing a USD 3.8 million seed round of funding. The financing will go towards the launch of the category-defining Basetwo AI platform. This first-of-its-kind solution allows process engineers to quickly build digital twins of their manufacturing plants using a familiar no-code interface.

The services segment is estimated to grow significantly 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.

Technology Insights

The natural language processing segment led the market in 2022, accounting for over 55% share of the global revenue. 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.

For instance, in February 2023, Appy Pie LLP introduced artificial intelligence (AI) to their app-making process with their new AI App Generator. This AI-powered platform employs machine learning and NLP to convert text into a fully functional application and allows users to build and launch apps efficiently and quickly.

The computer vision segment is estimated to grow significantly 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.

Enterprise size Insights

The large enterprises segment led the market in 2022, accounting for over 75% share of the global revenue owing to the growing implementation of Al 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 estimated to grow significantly 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. Traditional AI development often involves significant 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

The IT and telecom segment held the largest revenue share of over 21% in 2022. 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.

Additionally, 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.

The BFSI segment is predicted to foresee significant growth in 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.

For instance, in September 2021, Accern Corporation, a data design company, unveiled AI Studio, designed to assist financial service teams in making better-informed investment decisions. The new product enables data scientists and financial services teams to create, train, and refine models in real-time without coding.

Deployment Insights

The on-premises segment held the largest revenue share of over 58% in 2022. 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. Additionally, with on-premises infrastructure, enterprises have greater control over their machine-learning pipeline, which can improve efficiency and reduce costs.

The cloud segment is predicted to foresee significant growth in 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. For instance, in March 2023, Google LLC announced the launch of Gen App Builder, new generative AI capabilities for its cloud platform. The new tool enables developers to create generative AI applications without extensive coding or advanced machine learning skills.

Regional Insights

North America dominated the market in 2022, accounting for over 38% share of the global revenue owing to Al's strong research and development capabilities in developed economies, research institutes, and several prominent Al 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, the region has excellent R&D expertise in Al and has significantly invested in Al-related technology in recent years. They have also implemented policies to aid in the development of the field.

Asia Pacific is anticipated to register the fastest CAGR over the forecast period. The region has a thriving start-up ecosystem, with numerous technology start-ups emerging in countries like 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 attractive 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. For instance, in March 2023, Tech Data Corp. announced a strategic partnership with Simplifai.ai, an AI process automation company. This partnership aims to bring Simplifai's advanced automation solutions to key markets in the Asia Pacific and Japan region. The collaboration enhanced Tech Data's existing AI solutions and cloud-native technologies portfolio.

Key Companies & Market Share Insights

Prominent firms have used product launches and developments, followed by expansions, mergers and acquisitions, contracts, agreements, partnerships, and collaborations as their primary business strategy to increase their market share. The companies have used various techniques to enhance market penetration and boost their position in the competitive industry.

For instance, in April 2023, Moveworks, Inc. launched Creator Studio, a conversational AI platform. The new no-code generative AI platform enables customers to build large language model interfaces. With Creator Studio, customers can leverage the power of generative AI to create their own customized conversational AI chatbots without extensive coding knowledge. Some prominent players in the global no-code AI platform market include:

• Akkio Inc.

• Amazon.com, Inc.

• Apple Inc.

• Caspio, Inc. 

• Clarifai, Inc. 

• DataRobot, Inc.

• Google LLC

• Levity AI GmbH

• Microsoft

• Quickbase, Inc.

No-code AI Platform Market Report Scope

Global No-code AI Platform 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 2017 to 2030. For this study, Grand View Research has segmented the global no-code AI platform market report based on component, technology, deployment, enterprise size, vertical, and region:

• Component Outlook (Revenue, USD Billion, 2017 - 2030)

  • No-code AI Platforms

  • Services

• Technology Outlook (Revenue, USD Billion, 2017 - 2030)

  • Natural Language Processing

  • Computer Vision

  • Predictive Analytics

  • Others

• Deployment Outlook (Revenue, USD Billion, 2017 - 2030)

  • Cloud

  • On-premises

• Enterprise Size Outlook (Revenue, USD Billion, 2017 - 2030)

  • SMEs

  • Large Enterprises

• Vertical Outlook (Revenue, USD Billion, 2017 - 2030)

  • BFSI

  • Healthcare

  • Retail & E-Commerce

  • IT & Telecom

  • Energy & Utilities

  • Government & Public Sector

  • Others

• Regional Outlook (Revenue, USD Billion, 2017 - 2030)

  • North America

    • U.S.

    • Canada

  • Europe

    • Germany

    • U.K.

    • France

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

  • Latin America

    • Brazil

    • Mexico

  • Middle East and Africa (MEA)

    • Kingdom of Saudi Arabia

    • UAE

    • South Africa