No Code AI Platform Market is predicted to reach USD 29.93 billion at a CAGR of 28.20% during the forecast period 2023-2032

Market Research Future (MRFR) has published on the “Global No Code AI Platform Market”.

Market Research Future (MRFR) has published a cooked research report on the “Global No Code AI Platform Market” that contains information from 2018 to 2032. The No Code AI Platform market is estimated to register a CAGR of 28.20% during the forecast period of 2023 to 2032.

MRFR recognizes the following companies as the key players in the global No Code AI Platform market— Amazon.com, Inc.; Microsoft; Google LLC; Apple Inc.; Caspio, Inc.; DataRobot, Inc.; Clarifai, Inc.; Quickbase, Inc.; Levity AI GmbH; Akkio Inc.

Market Highlights

The global No Code AI Platform market is accounted to register a CAGR of 28.20% during the forecast period and is estimated to reach USD 29.93 billion by 2032.

The creation and application of AI models and solutions that don't require a lot of coding is done through the usage of No-code AI platforms. By offering pre-built modules and templates, the No-code AI platform simplifies the process, allowing users to quickly develop an AI model. Perhaps the biggest drawback of no-code AI is its lack of flexibility in comparison to traditional coding. This drawback can be a significant obstacle for data scientists who need to quickly adjust their models in response to changing.

Segment Analysis

The global No Code AI Platform market has been segmented based on component, technology, deployment, enterprise and vertical.

On the basis of component, the market is segmented into No-code AI Platforms and Services. The no-code AI platforms segment was attributed to holding the largest market share in 2022 because they make AI development allows people and organizations to harness AI's potential without needing highly technical knowledge.

Based on technology, the global No Code AI Platform market has been segmented into Natural Language Processing, Computer Vision, Predictive Analytics and Others. The natural language processing segment was expected to hold the largest market share in 2022 due to the fact that NLP enables AI systems to comprehend and interpret human language.

On the basis of deployment, the market is segmented into Cloud and On-premises. The on-premises segment was attributed to holding the largest market share in 2022 because a number of advantages provided by the on-premises implementation, including excellent data safety and security, are responsible for this.

On the basis of enterprise, the market is segmented into SMEs and Large Enterprises. The large enterprises segment was attributed to holding the largest market share in 2022 due to the increasing adoption of data science and Al technologies in big businesses.

On the basis of vertical, the market is segmented into BFSI, Healthcare, Retail & E-Commerce, IT & Telecom, Energy & Utilities, Government & Public Sector and Others. The IT & telecom segment was attributed to holding the largest market share in 2022 because these platforms help to automate incident management, log analysis, and infrastructure monitoring.

Regional Analysis

The global No Code AI Platform market, based on region, has been divided into the North America, Europe, Asia-Pacific, and Rest of the World. North America consists of US and Canada. The Europe No Code AI Platform market comprises of Germany, France, the UK, Italy, Spain, and the rest of Europe. The No Code AI Platform market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World No Code AI Platform market comprises of Middle East, Africa, and Latin America.

The largest market share for No Code AI Platform was maintained by the North American regional sector. Due to Al's strong R&D skills in developed economies, research institutes, and several notable Al firms in this region, North America controlled the market and the global revenue. Profitable growth opportunities are anticipated to arise in North America from increased investment in cutting-edge technology to enhance business procedures and consumer experience. In addition, the area has made large recent investments in Al-related technologies and has outstanding R&D competence in the metal.

Moreover, the Europe market has been persistently growing over the forecast period. The demand for No Code AI Platform is driven by code Often called Al development platforms, Al platforms give non-programmers and non-Al experts the resources they need to carry out Al initiatives. They can also be used by specialists and al practitioners in their projects.

Additionally, over the projection period, Asia Pacific is expected to post the quickest CAGR. Several of these startups are AI-focused and look for easily available technologies to develop AI applications. For these startups, no-code AI platforms offer an alluring option since they let them create AI apps without needing a lot of technical resources or knowledge. Asia Pacific market-specific requirements and language sets are being met by no-code AI platforms, which are becoming more and more popular.

Furthermore, the rest of the world's No Code AI Platform market is divided into the Middle East, Africa, and Latin America. This growth is attributed to the region's rising use of offering pre-built modules and templates, the No-code AI platform simplifies. Government support, a rise in investor interest, and the viability of the technology in the sector are all contributing factors to the market expansion.

Key Findings of the Study

• The global No Code AI Platform market is expected to reach USD 29.93 billion by 2032, at a CAGR of 28.20% during the forecast period.


• The Asia-Pacific region accounted for the fastest-growing global market due to the increasing AI-focused and look for easily available technologies to develop AI applications.


• Based on component, the no-code AI platforms segment was attributed to holding the largest market share in 2022.


• com, Inc.; Microsoft; Google LLC; Apple Inc.; Caspio, Inc.; DataRobot, Inc.; Clarifai, Inc.; Quickbase, Inc.; Levity AI GmbH; Akkio Inc.