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, 2024 - 2030

 No-code AI Platform Market Size & Trends

The global no-code AI platform market size was estimated at USD 3.83 billion in 2023 and is projected to grow at a CAGR of 30.6% from 2024 to 2030. No-code Al platforms are also known as Al development platforms. They provide non-programmers, and non-Al experts the tools they need to implement Al projects. Al practitioners and specialists can also utilize them in their initiatives. 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 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 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.

Market Concentration & Characteristics

The market growth stage is high, and the pace of the industry growth is accelerating. The no-code AI platform industry has witnessed significant expansion in recent years, primarily driven by a surge in demand for accessible AI solutions across various industries. Businesses are increasingly acknowledging AI's potential to enhance operational efficiency, decision-making processes, and revenue generation, thus spurring the adoption of no-code platforms. These platforms democratize artificial intelligence (AI) by lowering entry barriers, enabling organizations of all sizes to leverage AI capabilities without requiring extensive technical expertise. Further, customer adoption of no-code AI platforms varies across industries and regions, influenced by factors such as industry maturity, regulatory environment, organizational culture, and budget constraints. Early adopters include industries like healthcare, finance, retail, and manufacturing, driven by the need to streamline operations, enhance customer experiences, and gain a competitive edge.

The industry is characterized by a high level of merger and acquisition (M&A) activity, reflecting the industry's rapid evolution. Established companies are strategically acquiring startups to enhance their technological portfolios and gain a competitive edge. These transactions often target companies specializing in innovative algorithms, advanced machine learning models, or unique applications of no-code AI.

No-code AI platforms are increasingly expected to adhere to recognized standards to demonstrate the reliability, security, and ethical considerations of their offerings. There is a growing global emphasis on the development of ethical AI guidelines and principles. Governments and industry bodies are actively engaged in shaping regulations that promote responsible AI practices. The focus on fairness, transparency, and accountability has significant implications for the design and deployment of AI models created through no-code platforms.

No-code AI platform offers a unique value proposition by simplifying and democratizing the AI development process. The ease of use and accessibility they provide make them distinct, reducing the appeal of traditional coding methods or alternative approaches. The primary strength of no-code AI platforms lies in their accessibility to non-technical users. Substitutes, like traditional programming languages, require a higher level of technical proficiency, limiting their accessibility and making them less viable alternatives for individuals without coding expertise.

The escalating demand for AI and ML applications across diverse industries and applications is a key factor driving the adoption of no-code AI platforms. The growing demand for these applications can be attributed to the vast benefits offered by these technologies to users, including improved business operations, better decision-making, and a competitive edge. The growing recognition of the transformative potential of AI and ML is driving the demand for accessible tools that facilitate the development and deployment of these advanced technologies. No-code AI platforms cater to this demand by providing a user-friendly environment that empowers individuals, including non-technical professionals, to create and implement AI and ML applications without extensive coding expertise.

Component Insights

Based on component, the no-code AI platforms segment led the market with the largest revenue share of 76.8% in 2023. 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 at a significant 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.

Technology Insights

Based on technology, the natural language processing (NLP) led the market with the largest revenue share of 55.6% in 2023. 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 projected to grow at a significant 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.

Deployment Insights

Based on deployment, the on-premises segment led the market with the largest revenue share of 56.0% in 2023. 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 grow at a significant CAGR during 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.

Enterprise Size Insights

Based on enterprise size, the large enterprises segment held the market with the largest revenue share of 75.0% in 2023, 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 at a significant 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. 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

Based on vertical, the IT and telecom segment held the market with the largest revenue share of 21.8% in 2023. 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.

The BFSI segment is expected to grow at a significant CAGR during 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.

Regional Insights

North America dominated the no-code AI platform market with a revenue share of 39.5% in 2023, 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.

U.S. No-code AI Platform Market Trends

The no-code AI platform market in the U.S. is expected to grow at a significant CAGR over the forecast period. 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 Platform Market Trends

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.

The UK no-code AI platform market held the largest share of the Europe market. The growing demand for advanced visual AI applications across diverse industries in the UK is likely to drive market growth. In the UK, no-code platforms are advancing in emerging technology fields such as computer vision, enabling users to create applications for image recognition, object detection, and augmented reality without extensive coding.

The no-code AI platform market in France is expected to grow at the fastest CAGR over the forecast period. No-code AI platforms demonstrate notable proficiency in automating routine tasks such as data integration and workflow automation. This results in a significant reduction in development time, contributing to heightened efficiency.

The Germany no-code AI platform market is expected to grow at the fastest CAGR over the forecast period. Germany's strong focus on technological innovation, especially in the context of Industry 4.0, is one of the key factors driving the adoption of no-code AI platforms. These platforms provide a simplified approach for businesses, particularly in manufacturing, to promptly integrate AI solutions into their operations within the framework of Industry 4.0.

Asia Pacific No-code AI Platform Market Trends

The no-code AI platform market in Asia Pacific is anticipated to register at 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.

The China no-code AI platform market is expected to grow at the fastest CAGR over the forecast period. China's BFSI sector, heavily invested in tech advancements, presents a ripe market for No-code AI. Overcoming challenges through collaboration, talent development, and ethical considerations will unlock immense potential for streamlining operations, enhancing risk management, and offering personalized financial services. This trend signifies a significant transformation within China's BFSI landscape, poised to drive innovation and financial inclusion.

The no-code AI platform market in India is estimated to grow at a significant CAGR over the forecast period. India's SME sector is surging with no-code AI adoption, driven by the platforms' accessibility and affordability. Industry-specific solutions, seamless software integration, and government support are fueling growth.

The Japan no-code AI platform market is expected to grow at the fastest CAGR over the forecast period. The market expansion and growth in this region are being significantly driven by advancements and innovation in the no-code AI platform, particularly by major industry players. For instance, in December 2022, i-PRO Co., Ltd., a Japan-based company, unveiled an innovative advancement for seamless AI implementation and assessment without the need for coding, made possible through the integration of i-PRO's modular cameras with "Learning Center Connect for i-PRO" software. Developed by AI inside Inc., this software facilitates enhanced functionality and is seamlessly integrated with "Learning Center Vision", a user-friendly tool for AI development and operation by AI inside. These products are exclusively distributed and accessible within Japan.

Middle East & Africa No-code AI Platform Market Trends

The no-code AI platform market in Middle East & Africa is estimated to grow at a significant CAGR over the forecast period. Integrating no-code AI platforms with Internet of Things (IoT) applications is a noticeable trend in the MEA. This integration facilitates the creation of AI applications tailored for smart cities, healthcare monitoring, and industrial automation, contributing to the establishment of a more connected and efficient ecosystem. The healthcare industry in the MEA region is progressively utilizing no-code AI platforms to improve patient care and streamline operational processes. These platforms empower healthcare professionals to create and implement AI applications efficiently without the need for extensive coding. The trend reflects a strategic move toward technology-driven healthcare solutions, aiming to enhance patient outcomes through the rapid deployment of diagnostic tools, personalized treatment plans, and more efficient processes.

The Kingdom of Saudi Arabia no-code AI platform market is expected to grow at the fastest CAGR over the forecast period. One of the key trends in the Saudi Arabia market is the increasing focus on leveraging platforms to drive advancements in renewable energy and environmental sustainability. Government agencies and businesses in Saudi Arabia are turning to no-code AI platforms to develop applications that optimize energy usage, enhance waste management, and promote eco-friendly practices.

The no-code AI platform market in United Arab Emirates is expected to grow at the fastest CAGR over the forecast period. In the UAE, emerging technologies, such as Augmented Reality (AR) and Virtual Reality (VR), are increasingly being integrated into the no-code AI platforms used by the incumbents of the retail and e-commerce industries. Businesses are using these platforms to provide immersive and interactive shopping experiences, allowing customers to visualize products before purchasing.

Key No-code AI Platform Company 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.

Recent Developments

• In October 2023, CyborgIntell, a prominent AI solutions provider, unveiled two new offerings tailored for the BFSI sector, Feature Store and Model Risk Management (MRM). Feature Store, a zero-code AI platform, automates the creation of thousands of new features from raw data, significantly reducing the time required for data preparation for modeling by 90%. This empowers financial institutions to analyze various aspects of their transactions, including behaviors, patterns, habits, preferences, risks, and relationships

• In October 2023, Akkio Inc. introduced Generative Reports, an AI tool that instantly transforms data into actionable insights. This unique tool enables small and medium businesses to connect their data, describe projects, and automatically generate real-time reports. It offers a self-service solution for optimizing marketing spend, lead scoring, revenue forecasting, and enhancing customer experiences

• In May 2023, Microsoft made an undisclosed investment in Builder.ai. This strategic collaboration was aimed at integrating Builder. Ai's AI assistant, Natasha, into Microsoft Teams video and chat software, enabling customers to create business apps seamlessly within the platform. Additionally, Builder.ai planned to enhance Natasha's capabilities by incorporating Microsoft's AI algorithms to achieve a more human-like conversational experience

• In March 2023, Google LLC launched Gen App Builder, a new product designed to empower programmers in developing advanced generative AI applications, without machine learning proficiency. This product launch was aimed at enabling developers to seamlessly integrate experience into applications and websites into their applications and websites. With Google LLC's no-code conversational and search capabilities, this process is expected to take only a few minutes or hours

No-code AI Platform Market Report Scope

Report Attribute	Details
Market size value in 2024	USD 4.93 billion
Revenue forecast in 2030	USD 24.42 billion
Growth rate	CAGR of 30.6% from 2024 to 2030
Base year for estimation	2023
Historical data	2017 - 2022
Forecast period	2024 - 2030
Quantitative units	Revenue in USD million/billion and CAGR from 2024 to 2030
Report coverage	Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments covered	Component, technology, deployment, enterprise size, vertical, region
Regional scope	North America; Europe; Asia Pacific; Latin America; MEA
Country scope	U.S.; Canada; UK; Germany; France; China; Japan; India; South Korea; Australia; Brazil; Mexico; Kingdom of Saudi Arabia (KSA); UAE; South Africa
Key companies profiled	Amazon.com. Inc.; Microsoft; Google LLC; Apple Inc.; Caspio, Inc.; DataRobot, Inc.; Clarifai, Inc.; Quickbase, Inc.; Levity AI GmbH; Akkio Inc.
Customization scope	Free report customization (equivalent up to 8 analyst’s working days) with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options	Avail customized purchase options to meet your exact research needs. Explore purchase options

 

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 (NLP)

  • 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

    • UK

    • 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