The no code artificial intelligence (AI) platform market size is expected to see exponential growth in the next few years. It will grow to $23.82 billion in 2030 at a compound annual growth rate (CAGR) of 27.5%. The growth in the forecast period can be attributed to demand for democratized AI solutions, expansion of cloud-based no-code AI platforms, increased focus on rapid AI deployment, integration with enterprise software systems, adoption across smes and large enterprises. Major trends in the forecast period include visual AI model development, drag-and-drop AI workflows, pre-built AI model libraries, workflow automation tools, data integration and management.
The increasing demand for improved cybersecurity is expected to drive the growth of the no-code Artificial Intelligence (AI) platform market. Cybersecurity involves safeguarding computer systems and networks from digital threats and unauthorized access, focusing on protecting data, privacy, and the integrity of digital infrastructure. No-code AI platforms are becoming integral to cybersecurity practices, simplifying threat detection and response without the need for extensive coding skills, thereby enhancing overall security measures. For instance, in January 2024, according to the Identity Theft Resource Center (ITRC), a US-based non-profit organization, there were 3,205 data breaches in 2023, exposures, leaks, and unspecified events, affecting approximately 353,027,892 victims, including those impacted by multiple incidents, reflecting a 78% increase from 2022. This heightened need for improved cybersecurity is a key factor propelling the growth of the no-code AI platform market.
Prominent companies in the no-code AI platform market are strategically focusing on the integration of Software as a Service (SaaS) applications to gain a competitive advantage. The integration of SaaS applications enhances the automation capabilities of no-code AI platforms, enabling more efficient and effective workflows. This integration unlocks new possibilities and intelligence, expediting the delivery of AI applications. In June 2023, Amazon Web Services Inc., a US-based provider of on-demand cloud computing platforms and APIs, introduced AWS AppFabric, a new no-code service facilitating quick connections between Software as a Service (SaaS) applications and security tools. AppFabric enables IT and security teams to connect SaaS applications rapidly without the need for custom code development or maintenance. The service automates the normalization of application data, allowing administrators to set common policies, standardize security alerts, and manage user access across multiple applications easily.
In October 2023, Salesforce, a US-based provider of cloud customer relationship management (CRM) software, acquired Airkit.AI for an undisclosed amount. This acquisition is intended to bolster Salesforce’s Service Cloud by integrating Airkit.ai’s advanced AI capabilities, allowing Fortune 500 companies and rapidly growing businesses to improve customer engagement through generative AI. Airkit.AI is a US-based no-code artificial intelligence (AI) platform.
Major companies operating in the no code artificial intelligence (AI) platform market are Amazon.com Inc.; Google LLC; Microsoft Corporation; International Business Machines Corporation; Hewlett Packard Enterprise; Medallia Inc.; Quickbase Inc.; DataRobot Inc.; Dataiku Ltd.; AgilePoint Inc.; Caspio Inc.; Deci.AI Inc.; Scale AI Inc.; ClarifAI Inc.; Aible Inc.; Aito Intelligence Oy; Akkio Inc.; CrowdAI Inc.; Levity AI GmbH; MLJAR Inc.; Noogata Technologies Inc.; Obviously AI Inc.; Predibase Inc.; Runway AI Inc.; Studio Creatio.
North America was the largest region in the no code artificial intelligence (AI) platform market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the no code artificial intelligence (AI) platform market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the no code artificial intelligence (AI) platform market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have influenced the No-Code Artificial Intelligence (AI) Platform Market by raising the costs of cloud infrastructure, AI hardware components, and development tools imported from major manufacturing regions. Enterprises and software providers in North America, Europe, and Asia-Pacific have experienced higher expenses for platform subscriptions and integration services. Key segments affected include pre-built AI model libraries, drag-and-drop workflow platforms, and consulting services. On the positive side, tariffs have accelerated local platform development, promoted regional partnerships, and encouraged innovation to build cost-efficient and scalable AI solutions.
The no code artificial intelligence (AI) platform market research report is one of a series of new reports that provides no code artificial intelligence (AI) platform market statistics, including no code artificial intelligence (AI) platform industry global market size, regional shares, competitors with a no code artificial intelligence (AI) platform market share, detailed no code artificial intelligence (AI) platform market segments, market trends and opportunities, and any further data you may need to thrive in the no code artificial intelligence (AI) platform industry. This no code artificial intelligence (AI) platform market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
A no-code artificial intelligence (AI) platform is a software tool designed to enable users to create and deploy AI models and applications without requiring coding or programming skills. This platform streamlines the development of AI solutions by offering a user-friendly interface, eliminating the need for users to write complex code. The goal is to make AI development more accessible to individuals who may not have a background in programming, allowing a broader range of users to harness the power of artificial intelligence for various applications.
The main components of no-code artificial intelligence (AI) platforms encompass both the platforms themselves and related services. A no-code AI platform allows users to develop and deploy artificial intelligence solutions without the need for advanced coding or programming skills. The technologies involved in these platforms may include natural language processing, computer vision, predictive analytics, and others. No-code AI platforms are deployed through cloud and on-premises modes, catering to small and medium enterprises (SMEs) as well as large enterprises across various industries. These industries may include banking, financial services, and insurance, healthcare, retail and e-commerce, information technology (IT) and telecom, energy and utilities, government and public sector, among others.
The no-code artificial intelligence (AI) platforms market consists of revenues earned by entities by providing services such as AI model building, anomaly detection, integration and deployment and model monitoring and maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The no-code artificial intelligence (AI) platforms market also includes sales of cloud-based infrastructure, tensor processing units (TPUs) and graphics processing units (GPUs). Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
No Code Artificial Intelligence (AI) Platform Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses no code artificial intelligence (AI) platform market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for no code artificial intelligence (AI) platform? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The no code artificial intelligence (AI) platform market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: No-Code AI Platforms; Services2) By Technology: Natural Language Processing; Computer Vision; Predictive Analytics; Other Technologies
3) By Deployment: Cloud; On-premises
4) By Enterprise Size: Small And Medium Enterprises (SMEs); Large Enterprises
5) By Vertical: Banking, Financial Services And Insurance; Healthcare; Retail And E-Commerce; Information Technology (IT) And Telecom; Energy And Utilities; Government And Public Sector; Other Verticals
Subsegments:
1) By No-Code AI Platforms: Visual Development Tools; Pre-Built AI Models; Drag-And-Drop Interfaces; Workflow Automation Tools; Data Integration Tools2) By Services: Consulting Services; Training And Support Services; Implementation Services; Customization Services
Companies Mentioned: Amazon.com Inc.; Google LLC; Microsoft Corporation; International Business Machines Corporation; Hewlett Packard Enterprise; Medallia Inc.; Quickbase Inc.; DataRobot Inc.; Dataiku Ltd.; AgilePoint Inc.; Caspio Inc.; Deci.AI Inc.; Scale AI Inc.; ClarifAI Inc.; Aible Inc.; Aito Intelligence Oy; Akkio Inc.; CrowdAI Inc.; Levity AI GmbH; MLJAR Inc.; Noogata Technologies Inc.; Obviously AI Inc.; Predibase Inc.; Runway AI Inc.; Studio Creatio
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this No Code AI Platform market report include:- Amazon.com Inc.
- Google LLC
- Microsoft Corporation
- International Business Machines Corporation
- Hewlett Packard Enterprise
- Medallia Inc.
- Quickbase Inc.
- DataRobot Inc.
- Dataiku Ltd.
- AgilePoint Inc.
- Caspio Inc.
- Deci.AI Inc.
- Scale AI Inc.
- ClarifAI Inc.
- Aible Inc.
- Aito Intelligence Oy
- Akkio Inc.
- CrowdAI Inc.
- Levity AI GmbH
- MLJAR Inc.
- Noogata Technologies Inc.
- Obviously AI Inc.
- Predibase Inc.
- Runway AI Inc.
- Studio Creatio
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 9.01 Billion |
| Forecasted Market Value ( USD | $ 23.82 Billion |
| Compound Annual Growth Rate | 27.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |


