No-Code AI Platforms Market Size, Share, Growth Analysis, by Offering (Solutions, Services), Technology, Data Modality, Application (Workflow Automation, Platform Building, Predictive Lead Scoring), Vertical, and Region - Global Industry Forecast to 2029

No-Code AI Platforms Market Size, Share, Growth Analysis, by Offering (Solutions, Services), Technology, Data Modality, Application (Workflow Automation, Platform Building, Predictive Lead Scoring), Vertical, and Region - Global Industry Forecast to 2029

The global no-code AI platforms market is expected to grow from USD 4.9 billion in 2024 to USD 24.8 billion in 2029, at a CAGR of 38.2% during the forecast period. No-code AI democratizes artificial intelligence by enabling non-technical users, business analysts, and domain experts to participate in development without coding skills. It accelerates prototyping and deployment through intuitive drag-and-drop interfaces, reducing development time and costs associated with hiring specialized talent. These platforms offer user-friendly interfaces that cater to varying levels of technical expertise and allow for customization to optimize performance for specific use cases. No-code AI promotes collaboration between technical and non-technical teams, fostering comprehensive AI solutions. Its agility supports rapid adjustments to models in response to evolving business needs and data trends, making it a flexible choice for businesses aiming to leverage AI effectively.

“By offering, the solutions segment is projected to hold the largest market size during the forecast period.”

In the expanding market of no-code AI platforms, businesses are pioneering accessible solutions to democratize artificial intelligence. These platforms feature intuitive drag-and-drop interfaces, ready-made templates for rapid AI deployment, and automated machine learning capabilities that streamline model development. It prioritizes seamless integration with existing systems, ensuring operational efficiency and compatibility. Furthermore, these platforms are engineered for scalability, accommodating diverse workloads and delivering robust performance for real-time applications. By enabling businesses to harness advanced analytics and predictive capabilities without the need for deep technical knowledge, vendors facilitate innovation and agility in competitive landscapes.

“By Application, platform building is registered to grow at the highest CAGR during the forecast period.”

The rapid evolution of no-code AI platforms has significantly boosted the growth of platform building as a versatile application. These platforms empower users with little to no programming background to create sophisticated applications and systems effortlessly. From automating routine tasks to developing complex AI-driven solutions, the accessibility and user-friendliness of no-code AI tools have democratized technology. As a result, businesses across various sectors are increasingly adopting these platforms to streamline operations, enhance customer interactions, and innovate without relying on traditional software development cycles.

“Asia Pacific is projected to witness the highest CAGR during the forecast period.”

The no-code AI platforms market is experiencing rapid growth across the Asia Pacific region, driven by increasing digital transformation initiatives and a burgeoning startup ecosystem. These platforms empower users without extensive programming skills to create AI-powered solutions swiftly and efficiently. Countries such as India, China, Japan, and other are at the forefront, fostering innovation hubs and supporting tech entrepreneurship. In India, for instance, the rise of no-code AI platforms is democratizing access to AI tools, enabling businesses of all sizes to leverage predictive analytics and automation. China's tech giants are investing heavily in no-code AI platforms to cater to the diverse needs of their large market and accelerate adoption in sectors ranging from e-commerce to healthcare. Overall, the Asia Pacific region is witnessing a paradigm shift where accessibility and usability of AI technology are expanding, promising significant advancements in sectors critical to economic growth and innovation.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the no-code AI platforms market.

By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%

By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%

By Region: North America: 40%, Europe: 20%, Asia Pacific: 25%, Middle East & Africa: 10%, Latin America: 5%

Major vendors offering no-code AI platforms solutions and services across the globe are IBM (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), C3 AI (US), H2O. ai (US), Qlik (US), Clarifai (US), DataRobot (US), Dataiku (US), SymphonyAI (US), Altair (US), Levity (Germany), Akkio (US), Aito (Finland), Obviously AI (US), Pecan AI (Israel), Kore.ai (US), Konverse AI (US), Yellow.ai (US), MokeyLearn (US), Roboflow (US), NanoNets (US), Noogata (Israel), Rasa (US), Builder.ai (UK), Appy Pie (US), Accern (US), RunwayML (US), and Bubble (US) .

Research Coverage

The market study covers no-code AI platforms across segments. It aims at estimating the market size and the growth potential across different segments, such as solutions ( by type, and deployment mode] & services), technology, data modality, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for no-code AI platforms and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (Growing need to reduce dependency on extensive coding expertise, Empowering rapid prototyping and collaboration with no-code AI platforms), restraints (Balancing customization and simplicity in no-code AI platforms to drive market growth, Growing concern of data quality on no-code AI tool effectiveness), opportunities (Capitalizing on ethical AI unlocks new avenues for growth and innovation, Rising demand for streamlining operations drives business efficiency), and challenges (Navigating vendor lock-in in the no-code AI platform market, Issues related with scalability to meet heightened user demands or accommodate complex functionalities) influencing the growth of the no-code AI platforms market.

Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the no-code AI platforms market.

Market Development: Comprehensive information about lucrative markets – the report analyses the no-code AI platforms market across varied regions.

Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in no-code AI platforms market strategies; the report also helps stakeholders understand the pulse of the no-code AI platforms market and provides them with information on key market drivers, restraints, challenges, and opportunities.

Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as IBM (US), Microsoft (US), Google (US), AWS (US), and Salesforce (US) among others in the no-code AI platforms market. Show more