No-code AI Platform Market Report Scope & Overview:

The No-code AI Platform Market was valued at USD 3.7 Billion in 2023 and is expected to reach USD 53.1 Billion by 2032, growing at a CAGR of 34.44% from 2024-2032. The No-code AI Platform Market is witnessing significant adoption across industries, with a growing rate in sectors like healthcare, finance, and retail. User proficiency levels indicate a rising trend among non-technical professionals leveraging these platforms for AI model creation. Seamless integration with cloud services is enhancing accessibility and scalability, driving widespread deployment. Additionally, efficiency gains in model deployment are reducing development time, enabling faster AI-driven decision-making across enterprises.

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No-code AI Platform Market Dynamics

Drivers

• No-code AI platforms are gaining traction as they enable non-technical users to build and deploy AI models, driving business innovation and automation.

The rising demand for non-technical users to leverage AI features propels the adoption of no-code AI platforms. These solutions essentially remove the hassle of traditional AI development, allowing businesses to create, deploy, and manage AI Models — without needing to know how to code No-code AI is fast becoming the go to tool for organizations in varying industries — ranging from healthcare, and finance to retail and more — to further digital transformation. Moreover, increasing demand for cost-efficient AI by small and medium-sized enterprises  also drives the market's growth. As AI drives its way into every corner of business, the desire for no-code AI — that is, very easy to use, nice user interfaces — just keeps increasing, providing one of the most important keys in innovation and automation.

Restraints

• These platforms often lack deep customization and struggle with scalability, making them less suitable for complex AI applications and large-scale enterprise needs.

While no-code AI platforms have advantages, they are often limited in customization or scalability, making them unsuitable for complex AI applications. These platforms generally come with pre-built templates and limited choices for model fine-tuning, which may not be good enough for businesses that have highly-specialized AI needs. Scalability related quandaries stem from large volume datasets and high-performance computing requirements, wherein traditional AI development approaches provide added flexibility. No-code AI solutions may fail to gain traction in enterprises that need advanced customization, want to integrate them with existing legacy systems or need to train their advanced AI models. Such restrictions may decelerate market growth, especially within the enterprise sector producing the need for large and dynamically issuing AI capabilities.

Opportunity

• Cloud-based no-code AI solutions offer scalability, flexibility, and seamless integration, enhancing accessibility and expanding adoption across industries.

The rise of cloud computing and AI-as-a-service will play an important role in the growth of the no-code AI platform market. No-code AI solutions powered by a cloud infrastructure bring scalability, remote access, and integration with existing enterprise systems. It eliminates the need for complex infrastructural investments to leverage AI capabilities for businesses. Moreover, with the development of AIaaS models, AIaaS empowers enterprises by giving them access to pre-trained AI models or APIs, which transforms the entire development process into a much simpler form. With the trend of Agile and steady rising requirement of cost-effective solutions among the Enterprises, Enterprises will continue to adopt cloud-based no-code AI, which will open the tap of new revenue streams to the cloud service providers and will act as a windfall for the Vendors, aiding in establishing No-code AI as an industry-wide standard shortly.

Challenges

• Concerns over data privacy, regulatory compliance, and reliance on third-party cloud providers pose significant barriers to widespread adoption.

Another major problem in the path of no-code AI platform growth is the data security and regulatory compliance. Sectors like healthcare and finance manage sensitive data with a substantial necessity to operate with strict regulations associated with the data. Many no-code AI platforms make use of third-party cloud providers, raising issues of data confidentiality, unwanted access, and breaches. Finally, if your IA, for example, on the backend, is AI-driven, you might not have ideal control processes and that might put you at risk when it comes to compliance with industry-specific regulations. This is why businesses should only implement these solutions after assessing security protocols, encryption technologies, and adherence to compliance standards. To boost trust and adoption in the market, it is a thing the market needs to address.

No-code AI Platform Market Segmentation Analysis

By Component

The no-code AI platforms segment dominated the market and accounted for significant revenue share in 2023. No-code AI platforms have become trendy as they democratize AI development and allow people and organizations to automatically exploit AI capabilities without a huge knowledge in the technical side of AI.

Services segment is expected to register the fastest CAGR during the forecast period. professional service, consulting support & maintenance, services, training & education all no-code AI services assist in the accelerated growth of organizations by empowering organizations to build, deploy and manage machine learning models at scale.

By Technology

In 2023, the natural language processing segment dominated the market and accounted for the largest revenue share of the market. NLP can allow users to build applications in no-code AI platforms and have it understood and respond to user inputs naturally. This could enable creating virtual assistants, chatbots and language-based interfaces at scale and without coding.

The computer vision segment is expected to register the fastest CAGR during the forecast period, since it facilitates the understanding and processing of visual data, such as images and videos. Integration of computer vision with no-code AI platforms can allow users to develop applications with capabilities to interpret image or video content and derive valuable insights from it. This enables various tasks such as image recognition, object detection, and image-based search in less than a few lines of code.

By Deployment

The On-premises segment dominated the market and accounted for 57% of revenue share in 2023. The reason attributed to this is the variety of advantages provided by on-premises deployment, including high data security and safety. Enterprises still want to keep the data and models under their data center, so that they are secured from external threats. Similarly, on-premises infrastructure gives enterprises greater control over their machine-learning pipeline, resulting in greater efficiency and cost savings.

The cloud segment is projected to register the fastest CAGR during the forecast period. Cloud services offer the centralized storage of, and ability to access, data and applications from anywhere there exists an internet connection. Cloud storage allows users to store data, models, and applications in the cloud,  making them easily accessible to users and collaborators. This encourages more easy collaboration,  allowing for updates and versions from several members of the team in real time.

By Enterprise Size

The large enterprises segment dominated the market and accounted for significant revenue share in 2023 due to the increasing adoption of AI technology and data science among large enterprises to provide quantitative insight into their processes. In large organizations, each department employs no-code AI to automate processes that tie into various stages of CRM and ERP. No-code AI platforms help in removing the pain points existing between the processes of corporations to enhance operational efficiency, reduce costs, and create more reliable results.

The SMEs segment is expected to grow at the fastest CAGR over the forecast period. The increasing awareness of no-code AI platforms among SMEs enables them to grow and attain a competitive edge in their industry over time. Typical traditional AI development requires many initial investments, such as working on the talent and building infrastructure. No-code AI platforms prove to be budget-friendly solutions since they do not require too much coding and do not mainly rely on highly skilled experts.

By Vertical

In 2023, the IT and telecom segment dominated the market with the highest revenue share. IT departments can automate many operational tasks using no-code AI platforms. They help automate monitoring of infrastructure, log analysis, and incident management. Using AI functionalities, IT teams can identify irregularities, foresee possible problems, and take proactive measures to address them, allowing them to increase system reliability, decrease downtime, and present a much better IT service.

The BFSI segment is anticipated to contribute the fastest CAGR during the forecast period. To improve their customer experience, BFSI organizations can develop AI-enabled chatbots and Virtual Assistants. For instance, these chatbots manage customer inquiries, offer personalized suggestions, and enable self-service choices. Further, no-code AI platforms enable BFSI organizations to leverage natural language processing  capabilities to train these chatbots for efficient customer engagement and support.

Regional Landscape

In 2023, North America dominated the market and held the largest revenue share of 41% of the no-code AI platform market, which is attributed to the strong research and development capabilities of AI in the developed economies, the Research institutes of North America, and some renowned AI organizations in this area. Growing investment in innovative technology to enhance the consumer experience and processes in the corporate set-up is forecasted to create lucrative growth opportunities for the North America goods and services market.

Asia Pacific is expected to register the fastest CAGR during the forecast period. There is no shortage of technology start-ups in the region, with the likes of China, India, Singapore, South Korea all breeding successful start-up ecosystems. Most of these start-ups have an AI focus and are looking for tools to create AI applications that are available as a service. These platforms provide a neat solution for these start-ups that allows them to build AI applications without spending a ton of money and time on technical resources and expertise.

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Key Players

The major key players along with their products are

• Google LLC – Vertex AI

• Microsoft Corporation – Power Platform AI Builder

• Amazon Web Services (AWS) – Amazon SageMaker Canvas

• IBM Corporation – Watson Studio

• Salesforce, Inc. – Einstein AI

• SAP SE – SAP AI Core

• DataRobot, Inc. – DataRobot AI Cloud

• Akkio Inc. – Akkio AI

• Peltarion (acquired by AI Sweden) – Peltarion Platform

• Clarifai, Inc. – Clarifai AI Platform

• H2O.ai – H2O Driverless AI

• Lobe (Microsoft) – Lobe.ai

• RapidMiner (Altair) – RapidMiner AI Hub

• Obviously AI – Obviously AI Platform

• C3 AI – C3 AI Ex Machina

Recent Developments

• October 2024 – Microsoft: Introduced autonomous AI agents, termed "AI employees," capable of handling tasks such as customer queries and identifying sales leads.

• December 2024 – Asana: Reported a 26% surge in shares following the successful launch of AI Studio, a tool facilitating workflow design using AI agents, which has seen significant demand.

• November 2024 – Baidu: Launched new AI applications, including enhanced text-to-image generation technology called I-RAG and a no-code app builder named Miaoda, as part of its shift towards commercializing large language model applications.