| Study Period | 2019 - 2030 |
| Market Size (2025) | USD 4.05 Billion |
| Market Size (2030) | USD 8.89 Billion |
| CAGR (2025 - 2030) | 17.03 % |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Low |
Major Players
*Disclaimer: Major Players sorted in no particular order |
No Code AI Platform Market Analysis
The No Code AI Platform Market size is estimated at USD 4.05 billion in 2025, and is expected to reach USD 8.89 billion by 2030, at a CAGR of 17.03% during the forecast period (2025-2030).
No-code AI platforms, often referred to as AI development platforms, empower both non-programmers and AI novices with the tools to execute AI projects. These platforms are equally valuable to seasoned AI practitioners and specialists. As a testament to their growing significance, an increasing number of AI enterprises worldwide are set to bolster the global market.
- By harnessing no-code AI platforms, organizations can seamlessly integrate AI to automate tasks, achieving heightened efficiency with reduced effort. These platforms find utility in diverse business scenarios, such as crafting sentiment-driven chatbots that recommend self-help materials. This innovation allows businesses to provide customer support without the need for dedicated staff.
- As AI technology evolves and industries increasingly seek automation, the adoption of no-code AI solutions becomes paramount for enhancing business processes. These platforms not only diminish the reliance on expert AI solutions, but also curtail development costs across industries, fueling market expansion.
- In the BFSI sector, AI's prowess is evident in its ability to predict fraud and scrutinize transaction patterns. For instance, in October 2023, CyborgIntell unveiled two platforms tailored for the BFSI sector, emphasizing Store and Model Risk Management. These platforms automate data preparation, empowering financial institutions to delve into transaction patterns, habits, and associated risks.
- However, a notable drawback of no-code AI is its limited flexibility when juxtaposed with traditional coding. This rigidity becomes pronounced for data scientists who need to swiftly adjust models in response to evolving business demands or new data insights.
No Code AI Platform Market Trends
SMEs to Witness Major Growth
- SMEs are increasingly turning to no-code AI platforms to fuel growth and gain a competitive edge. Traditional AI development often comes with upfront costs, such as hiring specialists and investing in infrastructure. In contrast, no-code AI platforms, which demand minimal coding and less reliance on specialized talent, offer a cost-effective solution. This means SMEs can develop AI applications without needing dedicated software developers or data scientists.
- No-code platforms boast versatility, unbound by specific use cases. They can identify machine maintenance patterns, predicting potential failures before they occur. Beyond numbers, these platforms analyze text, enabling small companies to scrutinize sales notes, transcripts, and marketing data, thereby automating intricate processes.
- No-Code AI Platforms facilitate the prototyping and experimentation of AI models, accelerating development, enabling enterprises to iterate and refine ideas, and enhancing solutions. This technology proves invaluable for SMEs, which often can't afford dedicated data scientists or programmers. In 2024, the European Union was home to an estimated 26.1 million SMEs.
- In September 2024, Integrail unveiled its AI Studio, a platform designed to democratize AI adoption. Catering to both SMEs and large enterprises, AI Studio empowers users to automate repetitive tasks and workflows, seamlessly integrating with existing apps all without any coding.
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North America is Expected to Gain Significant Share
- North America, bolstered by early tech adoption and hefty investments in AI R&D, commands the largest market share. The region's dominance is further amplified by the presence of major tech firms and a vibrant innovation ecosystem.
- In the United States, a pivotal player in this growth narrative, businesses across various sectors are turning to No Code AI platforms. These platforms are not just tools; they're integral to digital transformation efforts aimed at maintaining a competitive edge. For instance, in May 2024, IBM and Salesforce, in a bid to elevate AI-driven customer experiences, intensified their partnership, seamlessly merging IBM Watson with Salesforce Einstein.
- AI's transformative touch is evident in the region's IT and telecommunications sectors. From refining network management to boosting customer service and streamlining operations, AI, through automation and predictive analytics, is reshaping the landscape. Given the sector's dependence on advanced technologies to navigate vast data streams and manage intricate, distributed networks, the shift towards no-code AI platforms is a natural evolution. These platforms allow for swift AI application deployment and scalability, all without the need for extensive coding knowledge.
- For instance, JTEKT Corporation's latest move in October 2024. They have rolled out an in-house, user-friendly no-code AI platform tailored for inspection processes. This innovation not only bolsters the competitiveness of businesses but also heralds a new era of digital manufacturing at production sites, underscoring JTEKT's prowess in marrying technology with industry needs.
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No Code AI Platform Industry Overview
In the No Code AI Platform market, established tech giants and innovative startups vie for dominance. These players are not just entering the fray; they're actively refining their platforms to seize a slice of this burgeoning market. The competition is fierce, with companies striving to set themselves apart through cutting-edge features, intuitive interfaces, and seamless integration. Beyond product differentiation, many are forging strategic partnerships, pursuing acquisitions, and collaborating, all in a bid to bolster their market presence and enhance their offerings.
Leading the charge are industry titans including Google, Microsoft, and IBM. These giants, harnessing their vast resources and AI expertise, roll out comprehensive No Code AI platforms. Their established customer bases, formidable brand recognition, and technological prowess give them a pronounced edge.
No Code AI Platform Market Leaders
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Amazon.com, Inc
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Google LLC (Alphabet Inc.)
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Microsoft Corporation
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DataRobot, Inc.
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Apple Inc.
- *Disclaimer: Major Players sorted in no particular order
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No Code AI Platform Market News
- December 2024: Jasper Inc. unveiled Jasper Studio, a cutting-edge service empowering marketers to craft and implement AI applications and workflows. This launch also featured a seamless integration with Slack. The Jasper App Builder, a no-code tool, enables marketers to create AI applications without any technical background. With the App Builder, users can tap into pertinent data sources, set up prompts, and refine outputs to match distinct styles, tones, and brand standards.
- February 2024: Assert AI rolled out Pratham, a revolutionary platform boasting a patented method aimed at democratizing computer vision and artificial intelligence. This platform broadens access to AI, allowing users to harness the full capabilities of computer vision without delving into coding intricacies or relying on AI experts.
No Code AI Platform Industry Segmentation
No-code AI tools enable automation via user-friendly plug-and-play or drag-and-drop interfaces. These intuitive ML platforms effectively harness the time, value, and knowledge trade-off, empowering users without AI coding expertise to enhance daily operations and address business challenges.
no code ai platform market is segmented by component (platform, and services), by enterprise size (large enterprises, and SMES), by deployment (on-premise, and cloud), by end users (IT & telecom, BFSI, retail & e-commerce, healthcare & lifesciences, government, and others) and by geography (North America, Europe, Asia Pacific, Latin America, Middle East And Africa). the market size and forecasts are provided in terms of value (USD) for all the above segments.
| By Component | Platfom |
| Services | |
| By Enterprise Size | Large Enterprises |
| SMES | |
| By Deployment | On-premise |
| Cloud | |
| By End Users | IT & Telecom |
| BFSI | |
| Retail & E-Commerce | |
| Healthcare & Lifesciences | |
| Government | |
| Others | |
| By Geography*** | North America |
| Europe | |
| Asia | |
| Australia and New Zealand | |
| Latin America | |
| Middle East and Africa |
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No Code AI Platform Market Research FAQs
How big is the No Code AI Platform Market?
The No Code AI Platform Market size is expected to reach USD 4.05 billion in 2025 and grow at a CAGR of 17.03% to reach USD 8.89 billion by 2030.
What is the current No Code AI Platform Market size?
In 2025, the No Code AI Platform Market size is expected to reach USD 4.05 billion.
Who are the key players in No Code AI Platform Market?
Amazon.com, Inc, Google LLC (Alphabet Inc.), Microsoft Corporation, DataRobot, Inc. and Apple Inc. are the major companies operating in the No Code AI Platform Market.
Which is the fastest growing region in No Code AI Platform Market?
Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).
Which region has the biggest share in No Code AI Platform Market?
In 2025, the North America accounts for the largest market share in No Code AI Platform Market.
What years does this No Code AI Platform Market cover, and what was the market size in 2024?
In 2024, the No Code AI Platform Market size was estimated at USD 3.36 billion. The report covers the No Code AI Platform Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the No Code AI Platform Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.
No Code AI Platform Industry Report
Statistics for the 2025 No Code AI Platform market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. No Code AI Platform analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.
