No-Code AI Platforms Market Size, Share, Growth, Report 2026 to 2035

No-Code AI Platforms Market Size and Growth 2026 to 2035

The global no-code AI platforms market size was valued at USD 6.06 billion in 2025 and is expected to be worth around USD 152.20 billion by 2035, exhibiting at a compound annual growth rate (CAGR) of 38.05% over the forecast period from 2026 to 2035.

The increasing demand for AI democratization across enterprises is the primary driving force behind the growth of the market for no-code AI platforms. By removing the reliance on data scientists and software developers, many organizations now want their business users, business analysts, and non-technical staff to create their own applications using the no-code approach. The process of reduced development time, reduced cost and accelerated digital transformation has increased as a result of this. The increased use of automation, cloud computing, and data-driven decision-making is evident across multiple industries such as banking, retail, healthcare, and IT services. There is still a huge demand for no-code development platforms which allow organizations to quickly develop chatbots, predictive models, and workflow automation solutions.

Another significant factor driving the growth of the no-code platform market is the difficulty companies face in finding individuals with Artificial Intelligence (AI) and machine learning capabilities, which leads many to seek no-code platforms as alternatives to conventional AI technologies. As companies begin using more natural language processing technologies (NLP), computer vision technologies, and generative AI technologies, the demand for no-code platforms has expanded. These platforms are developing new use cases for conversational interfaces, including customer engagement, process optimization, and content generation. In addition, all of these technologies working together enable SMEs to make larger investments in AI technology and to create cloud-based ecosystems that allow for faster time-to-market and greater efficiency in day-to-day operations.

Report Highlights

• North America dominates the no-code AI platforms market, with a 38% share driven by early adoption of AI, a strong cloud infrastructure, and digital maturity across enterprises.
• Solutions represent approximately 75% of the total offering segment as more organizations look for pre-packaged AI models, visual workflows, and automated tools that are easy to use through dragging and dropping.
• Natural Language Processing (NLP), as the technology share of the overall market, currently accounts for 49% of the market size. This is driven by the increasing use of chatbots, virtual assistants, and other forms of software that use natural language to automate processes.
• Text-based account for the largest data modality share at approximately 36%, as most business processes rely on emails, documents, customer queries, and enterprise text data.

Rapid Prototyping and Cross-Functional Collaboration Driving No-Code AI Platform Adoption

Rapid prototyping and collaboration provide key growth opportunities for the no-code AI platforms industry, as these tools allow businesses to create, test, and implement AI-based applications within less time than traditional software development processes require. Cross-functional teams comprising business users, data analysts, and specialists can collaborate using visual imaging, drag-and-drop style workflows, and pre-designed AI models, and thus reduce their need for highly skilled developers. These ultimately faster cycles of innovation for organizations create greater opportunities for testing and experimentation, and more responsive organizations to changing market conditions. As organizations place ever-increasing emphasis on agility, cost savings, and reduced time to market, the way in which no-code AI platforms enable faster collaboration and prototyping will greatly increase their appeal to all industries.

Recent Trends

1. Microsoft Expands No-Code AI through Power Platform and Government Cloud Initiatives

In 2024-2025, Microsoft are expanding their Power Platform and AI Builder so that businesses and government agencies may build their own Artificial Intelligence products or solutions without expert programming knowledge. This development is aligned with national efforts by governments to digitize their operations within the United States, Europe and Asia, where public officials and departments are moving toward a greater reliance on artificial intelligence in order to enhance citizen service delivery, improve compliance monitoring, and automate workflows. Microsoft is lowering the barriers to AI adoption through the integration of Copilot and Azure AI into low-code platforms, which will enhance business productivity and support the government's objectives related to increasing the efficiency of digital technologies, transparency, and the skill level of employees in the workforce.

2. Google Strengthens No-Code AI Adoption Through Vertex AI and Public Sector AI Programs

Google has enhanced its Vertex AI no-code platform with new features that allow users to use generative AI, predictive analytics, and natural language processing (NLP) to build robust applications without any coding knowledge or experience. This improvement represents a significant milestone toward democratizing access to all types of artificial intelligence (AI) solutions. By making these capabilities available to both the private sector and governmental institutions, Google is further supporting the government's investment in artificial intelligence (AI) innovation within both North America and Europe, as well as providing an avenue for governments and education to create AI capabilities that support the public good. The advantages of making generative AI chatbots, predictive analytics dashboards, automated workflows, and other tools using no-code solutions will keep speeding up the use of no-code AI solutions in public services and many industries with strict rules.

3. IBM Accelerates Enterprise and Government AI Deployment via Watsonx No-Code Expansion

The IBM Watsonx platform has been expanded with the addition of new features that make it easier for enterprises and governments to develop AI models using no-code or low-code tools. In addition to providing new development capabilities to organizations, it will help address regulatory-compliance demands for transparent, safe, and compliant AI solutions. Many government entities and highly regulated industries, such as banking, financial services, and insurance (BFSI), and healthcare, are beginning to use IBM's no-code tools for AI development to deploy predictive analytics, fraud detection, decision-support systems quickly and efficiently while remaining compliant with their respective regulations. This milestone strengthens the market by addressing trust, governance, and scalability, key growth drivers for AI adoption.

4. Salesforce Advances No-Code AI Adoption Through Einstein AI and Public Digital Transformation

Salesforce has expanded no-code functionality to the Einstein AI platform, allowing organizations to create automated tools using AI insights, automation, and customer engagement without the need for any traditional software development. This new incorporation by Salesforce is in direct response to government initiatives that promote the adoption of cloud-first strategies and AI-powered public services throughout North America and Europe. Furthermore, it will enable public agencies and businesses alike to adopt AI in a very rapid and effective manner, thereby accelerating growth within the marketplace while at the same time confirming the important role no-code platforms are playing in large-scale digital transformation initiatives for all leading businesses.

Report Scope

Market Dynamics

Market Drivers

• Growing Need to Make AI Accessible to Everyone: The growing demand for no-code artificial intelligence (AI) solutions from non-technical users is the major driving force behind the increasing size of the market. Typically, businesses have to hire trained professionals such as data scientists and developers, to create their own AI models, which increases implementation costs and slow your innovation times substantially. No-code AI platforms help to remove this barrier by allowing business users, analysts, and managers to create AI-powered solutions through simple visual interfaces. This ease of use helps organizations to adopt AI faster, experiment more freely, and turn ideas into real applications without long development cycles.
• Increasing Focus on Automation and Faster Business Decisions: Organizations in every sector are being challenged to improve efficiency and respond quickly to changing market conditions. Organizations are turning to no-code AI platforms that allow them to automate repetitive tasks, provide predictive analytics, and support intelligent decision-making without having to develop complex software. In addition, organizations can quickly build chatbots, automate workflows, and generate actionable insights from data in real time. As a result, the increasing demand for these types of new technologies, which provide faster results with less technical effort, continues to drive growth in the market.

Market Restraints

• Limited Flexibility for Complex and Advanced Use Cases: No-code AI platforms have an easy interface to operate, however, they are usually not flexible enough for complex and customized AI models. Advanced users often cannot effectively customize algorithms, create appropriate models, or address the specific needs of companies or sectors that may benefit from highly tailored AI systems. For this reason, it may not be practical and attractive for advanced AI users in need of to purchase no-code platform.
• Concerns Around Data Security and Regulatory Compliance: Many AI platforms use cloud-based & no-code technology, which allows users to build & create applications with very little or no coding. This result has led to major global concerns regarding the privacy & security of the data they allow users to store in their systems. Banking, government, and healthcare sectors are regulated by law and have major restrictions on the handling & processing of sensitive data. Consequently, organizational leaders may hesitate to use these types of platforms for fear of suffering from a data breach or losing control of their data, as well as compliance issues. In heavily regulated sectors, such as financial services (banking), healthcare, and government, these concerns may cause companies to postpone adopting AI platforms that are no-code.

Market Opportunities

• Expanding Adoption Among Small and Medium-Sized Enterprises and Non-Technical Users: Small and medium-sized businesses (SMEs) are increasingly adopting no code AI platforms, which create strong growth opportunities in the market. These platforms allow to organizations with limited technical skills and budgets to deploy an artificial intelligence solution to perform some tasks like analyzing customer analytics, forecasting demand, and automating workflow. No-code platforms eliminated the need for SMEs to have a specialized AI team, which allowed the SMEs and their users to test and use an AI solution, thereby improving the efficiency of their operations and competing against larger enterprise companies, and thus helping increase the overall market reach of AI technology.
• Integration of Generative AI and Multimodal Capabilities: Rapid advancements in generative artificial intelligence (AI), natural language processing (NLP), and multimodal data handling are creating new opportunities for no-code artificial intelligence platforms. These advances allow people to use a simple visual interface to build applications that work with text, images, audio, and video. With increasing demand for content creation using AI, virtual assistants, visual recognition, and personalized customer experience, no-code platforms that have advanced AI capabilities will likely expand into new industries and use cases, resulting in overall accelerated growth for the market.

Market Challenges

• Difficulty in Handling Complex and Advanced AI Requirements: The limitation in managing complex or highly customized AI use cases is the main challenge for growing the market of no-code AI platforms. These platforms are created for ease of use and simplicity, but they often struggle of being able to manage sophisticated model tuning, complicated data pipeline configuration, and or meeting unique regulatory standards required by specific industries. With the growth of businesses, they are quickly growing in sophistication, and if the no-code tools cannot accommodate this growth, the businesses will have to move to custom-developed solutions. Long-term use and adoption are thus limited, especially by larger organizations that have a more developed plan for their AI capabilities.
• Trust, Data Privacy, and Reliability Concerns: Trust in data security, data privacy, and model reliability are also a huge obstacle in the no-code AI platform and cloud AI model industry. Many businesses are facing issues while uploading sensitive business or customer data in a cloud-based AI platform. Additionally, many businesses are concerned about how these AI models are making decisions, especially when they have limited visibility into the algorithms that determine the models’ decisions. Therefore, for industries such as banking and healthcare that operate within very strict regulatory environments, these concerns are creating a barrier to the implementation of no-code AI models into critical functions within these industries and are slowing the rate of adoption of no-code AI solutions overall.

Regional Analysis

The no-code AI platforms market is segmented into various regions, including North America, Europe, Asia-Pacific, and LAMEA. Here is a brief overview of each region:

North America No-code AI platforms market: Driven by Early AI Adoption and Strong Enterprise Demand

The North America no-code AI platforms market size was valued at USD 2.30 billion in 2025 and is forecasted to grow USD 57.84 billion by 2035. North America dominates the market due to its early adoption of artificial intelligence, strong cloud infrastructure, and high concentration of technology leaders. Many sectors within North America utilize no-code AI platform tools as a means of automating their business processes while also enhancing their customers experiences and interactions through digital transformation activities and automating processes using artificial intelligence tools. The region also has a well-trained workforce skilled in using digital technologies, as well as high levels of investment directed at developing new artificial intelligence solutions through innovation and significant demand for scalable, enterprise-grade AI products. As the presence of large cloud vendors and providers of AI platforms continues to increase, the momentum of the growth and product development of the market will remain strong.

Recent Developments:

• Microsoft expanded AI Builder capabilities within its Power Platform to enhance no-code AI adoption across enterprises.
• Google strengthened Vertex AI no-code tools, enabling broader enterprise use of predictive and generative AI.

Asia-Pacific (APAC) No-code AI platforms market: Driven by Rapid Digital Transformation and SME Adoption

The Asia-Pacific no-code AI platforms market size was estimated at USD 1.39 billion in 2025 and is predicted to hit around USD 35.01 billion by 2035. Asia Pacific is the fastest-growing region in the market, because rapid digitalization, increasing usage of cloud services, and increased awareness of AI among small and mid-sized businesses. Countries such as China, India, Japan, and South Korea are making large investments in automation and AI to increase their productivity and competitiveness. The large number of SMBs within this region, along with its rapidly evolving start-up ecosystem and the digital initiatives being supported by governments within the region, are creating robust demand for low-cost, easy-to-use AI platforms. Additionally, no-code tools allow businesses to quickly deploy AI solutions and, therefore, overcome their staffing challenges.

Recent Developments:

• Alibaba Cloud enhanced its low-code and no-code AI capabilities to support regional enterprises and startups.
• Increased adoption of no-code AI tools by Indian SMEs for customer analytics and automation use cases.

Europe No-code AI platforms market: Driven by Sustainability Regulatory Focus and Enterprise Automation

The Europe no-code AI platforms market size was reached at USD 1.88 billion in 2025 and is projected to surpas around USD 47.18 billion by 2035. Europe has a significant share of the market due to the strong demand for enterprise automation and increasing interest in responsible and compliant AI. No-code AI platforms are being used by companies in the manufacturing, BFSI, and governmental industries to enhance operational efficiency while remaining compliant with regulations. The significance of data protection, ethical AI, and sustainability in the region has contributed to increasing demand for transparent and explainable AI solutions. Growing investments in digital transformation across Western and Northern Europe are also creating continuous growth within the market.

Recent Developments:

• SAP expanded AI-enabled low-code tools to help European enterprises automate business processes.
• Increased adoption of no-code AI platforms in manufacturing and public sector digitalization projects.

No-code AI platforms market Share, By Region, 2025 (%)

LAMEA (Latin America, Middle East & Africa) No-code AI platforms market: Driven by Emerging Digital Ecosystems

The LAMEA no-code AI platforms market was valued at USD 0.48 billion in 2025 and is anticipated to reach around USD 12.18 billion by 2035. Latin America and the MEA Region have the potential to become emerging markets for no-code AI platforms due to recent increases in digital Infrastructure and the demand for affordable, automated solutions. Adopting no-code AI platforms will help businesses in these regions address their limited access to AI-skilled professionals and reduce their technology implementation expenses. The growth of no-code AI platforms is being driven by the continued development of cloud computing services, increased use of mobile devices and the internet, as well as government program initiatives promoting digital inclusion. However, many BFSI, telecommunications, and public sector organizations demonstrate significant long-term growth potential.

Recent Developments:

• Increased cloud and AI investments by regional telecom operators to support automation and analytics.
• Growing use of no-code AI tools by financial institutions in the Middle East for fraud detection and customer analytics.

Segmental Analysis

The no-code AI platforms market is segmented into offering, technology, data modality, application, vertical, and region.

Offering Analysis

Solutions dominate the no-code AI platforms market due to they are viewed as core platforms utilized by organizations for building, deploying, and managing AI application development. Organizations' primary use of solutions is to automate workflow processes, data analysis, and the realization of AI-driven products without coding. Solutions provide an immediate return on operational value, reduce the amount of time to develop the solution, and enable non-technical individuals to build the AI-driven solution. Organizations' continued role in digital transformation and progression strategies supports the solution's high usage.

No-code AI Platforms Market Share, By Offering, 2025 (%)

Services is continue to be the fastest-growing segment in the market because of many businesses looking for to get additional help after they have purchased their initial platform. Businesses are now looking for assistance with platform integrations, customizations, training, and on-going optimizations to maximize their usage of no-code AI tools. With a growing number of businesses adopting no-code AI tools across industries with varying levels of complex data environments, there will continue to be an increasing demand for consulting and managed services. This growing reliance on expert guidance is accelerating the expansion of the services segment.

Technology Analysis

Natural language processing (NLP) dominates the technology segment because it directly supports many of the highest-perceived-value and common use cases in the business world. Organizations of all sectors use some form of language, such as text or speech, to communicate with their customers, employees, and business partners. No-code NLP products make it easier for businesses to develop the types of applications, including chatbots, virtual assistants, automated email responses, and content generation, without technical complexity. Since these applications deliver immediate improvements in customer engagement, improve operational efficiency, and reduce costs, they have become the most widely adopted technology type across many different business sectors. This has made them the largest and most established commercial segment of the no-code AI market.

Predictive analytics is the fastest-growing segments due to organizations are increasingly moving from basic automation to proactive and data-driven decision-making. Companies will seek to be able to predict the future outcomes, such as customer churn, demand patterns, financial risk, operational constraints, and other potential threats, rather than just react to the results of their previous data, as would be done with reports and analysis. Non-technical people can now create, interpret predictive models without any software experience or coding knowledge by using no-code predictive analytics methods. Companies place greater in emphasis on forecasting, risk reduction, and strategic planning. The adoption of predictive analytics technology will continue to increase rapidly, ultimately establishing predictive analytics technology as the fastest-growing segment of the marketplace.

Data Modality Analysis

Text segment is primarily dominated by the data modality because most of the enterprise data exists and is generated in a text format. Emails, documents, chat logs, and reports represent textual data, with many organizations storing their enterprise data in PDF and TXT file formats. Text-based solutions are also extensively used in business applications for tasks such as sentiment analysis, classification, summarization, and language generation. As such, they play an important role in daily business operations. Additionally, the ease of working with text data and the maturity of text-based AI tools are both factors contributing to the current level of dominance in the market.

No-code AI Platforms Market Share, By Data Modality, 2025 (%)

Multimodal data is the fastest-growing segments due to companies are looking for the fastest way to take advantage of AI technology that can analyze and interpret data from multiple sources. The combination of images, sound, and video has many advantages, from improved analytics to enhanced customer interactions. As the number of no-code platforms continues to grow, so will the number of users in various industries have access to that technology.

Application Analysis

The workflow automation segment of the market will continue to dominate due to its ability to provide businesses with immediate and measurable improvements in efficiency. Through the use of no-code artificial intelligence (AI) solutions, companies can automate repetitive processes, reduce manual effort, and streamline internal processes without having to write any code. Workflow Automation's direct impact on an organization's productivity, cost savings, and operational speed makes it the most widely utilized application for no-code AI by organizations today.

No-code AI Platforms Market Share, By Application, 2025 (%)

Chatbots and virtual assistants are rapidly becoming one of the fastest-growing segments in the software industry, with an increase in demand for instant and constant engagement with customers. Companies across retail, BFSI, telecoms, and healthcare are all using this technology to answer questions from their customers and help them with their support services and internal assistance. The availability of no-code tools allows companies to deploy chatbots very quickly while providing the ability for ongoing enhancements to the functionality of the chatbots, creating significant growth in this area.

Vertical Analysis

IT & Telecom dominate the segment in the market because these industries were early adopters of digital technologies and AI-driven automation. As a result of this, the need for network optimization, service monitoring, customer analytics, and operational efficiencies has created a large degree of interest in adopting no-code AI solutions. Continued investment into evolving their data infrastructures and bolstered by cultures of continued innovation, the IT & Telecom industries will continue to maintain their dominance in this market.

No-code AI platforms market Share, By Vertical, 2025 (%)

BFSI is the fastest-growing segment in the market due to banks, financial services, and insurance companies increasing their use of artificial intelligence to support enhanced decision-making and risk management. BFSI is under pressure to identify fraud, anticipate consumer behavior, comply with regulations, and provide a personalized service while maintaining cost-effectiveness. No-code AI platforms allow organizations within the BFSI space to deploy AI models quickly with minimal reliance on specialist development teams. The growing focus on digital transformation and cost efficiency is accelerating adoption across the BFSI sector.

No-code AI Platforms Market Top Companies

• IBM
• Google
• Microsoft
• Amazon Web Services (AWS)
• Salesforce
• C3 AI
• H2O.ai
• Qlik
• Clarifai
• DataRobot
• Dataiku
• Levity AI
• Akkio
• Aito
• Obviously AI

Recent Developments by Major Companies

IBM

• Expanded Watsonx no-code AI capabilities for enterprise automation and analytics.
• Increased focus on generative AI integration within no-code development environments.
• Strengthened partnerships with enterprises to accelerate AI adoption without coding expertise.

Google

• Enhanced Vertex AI no-code platform with advanced model training and deployment tools.
• Integrated generative AI features for chatbots, content creation, and workflow automation.
• Expanded cloud-based no-code AI solutions targeting small and mid-sized businesses.

Microsoft

• Upgraded AI Builder within Power Platform to improve no-code AI workflow creation.
• Integrated Copilot AI across business applications to enable intelligent automation.
• Expanded Azure AI services to support scalable enterprise no-code AI deployments.

Market Segmentation

By Offering

• Solutions
• Services

By Technology

• Predictive Analytics
• Deep Learning
• Natural Language Processing 
• Computer Vision

By Data Modality

• Text
• Image
• Video
• Speech & Audio
• Multimodal

By Application

• Workflow Automation
• Text Translation & Generation
• Platform Building
• Chatbots & Virtual Assistants
• Predictive Customer Churn
• Visual Recognition & Object Detection
• Other Applications

By Vertical

• BFSI
• Retail & e-commerce
• Government & Defense
• Healthcare & Life Sciences
• IT & Telecommunications
• Energy & Utilities
• Manufacturing
• Agriculture
• Media & Entertainment
• Others

By Region

• North America
• APAC
• Europe
• LAMEA