No-Code AI Platforms Market Forecasts to 2030 – Global Analysis By Component Type (Platform and Services), User Type, Deployment Mode, Application, End User and By Geography

According to Stratistics MRC, the Global No-Code AI Market is accounted for $5.0 billion in 2024 and is expected to reach $26.1 billion by 2030 growing at a CAGR of 31.6% during the forecast period. Platforms or technologies that let users create, implement, and maintain artificial intelligence models without the need for programming knowledge are known to as ""no-code AI."" These platforms offer visual interfaces with drag-and-drop features and pre-built templates, enabling non-technical users to create AI solutions for tasks like automation, predictive analytics, and data processing. No-Code AI makes artificial intelligence more accessible, allowing businesses and individuals to leverage AI’s capabilities without requiring deep programming knowledge, thus accelerating innovation and reducing barriers to entry.

According to industry experts, 70% of new corporate apps will employ low-code or no-code platforms by 2025, indicating a rising shift toward automation and cost effectiveness in the tech industry.

Market Dynamics:

Driver:

Increasing demand for AI solutions

The demand for AI solutions in the market is rising as organizations strive to integrate advanced technologies without relying on specialized developers. Businesses seek AI-driven tools for automation, data analysis, and customer service to improve efficiency and decision-making. No-code platforms provide an accessible way to implement AI, enabling faster adoption, empowering non-technical users, and supporting innovation across various sectors, further fueling the market’s growth.

Restraint:

Data privacy and security concerns

Data privacy and security concerns pose significant challenges in the market, as users may lack the expertise to implement robust safeguards. With sensitive data being processed, there is a heightened risk of breaches, unauthorized access, or misuse. These vulnerabilities can erode consumer trust and hinder widespread adoption of no-code AI platforms, as businesses prioritize compliance with regulations and ensuring secure handling of personal and proprietary information.

Opportunity:

Rising popularity of no-code platforms

The market is rapidly growing as businesses and individuals increasingly seek to leverage artificial intelligence without deep technical expertise. No-code platforms empower users to build AI models, automate workflows, and create applications easily through intuitive interfaces. This democratization of AI fosters innovation, enhances productivity, and reduces development costs, making AI accessible to a broader range of industries and driving the surge in no-code platform adoption.

Threat:

Limited customization options

Limited customization options in no-code AI platforms can hinder businesses that require highly tailored solutions. While these platforms offer ease of use, they often lack the flexibility needed to address complex, unique needs or intricate processes. This can lead to suboptimal outcomes, forcing companies to compromise on functionality or scalability. As a result, users may outgrow these platforms, seeking more customizable, code-based alternatives to meet their evolving requirements.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of no-code AI platforms as businesses sought efficient ways to adapt to remote work, automate processes, and address labor shortages. The increased need for digital transformation, coupled with reduced budgets and technical resources, drove demand for user-friendly, cost-effective solutions. No-code AI empowered non-technical users to quickly implement AI tools, enabling businesses to stay competitive and resilient during uncertain times.

The business users segment is expected to be the largest during the forecast period

The business users segment is expected to account for the largest market share during the forecast period. These users, including marketers, analysts, and project managers, leverage no-code platforms to automate tasks, analyze data, and enhance decision-making. By enabling business users to build AI models and workflows independently, no-code platforms empower organizations to innovate faster, reduce reliance on IT teams, and improve operational efficiency.

The healthcare segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare segment is predicted to witness the highest growth rate. Medical professionals and administrators use these platforms to automate administrative tasks, analyze patient data, and optimize treatment plans without needing technical expertise. No-code AI facilitates faster implementation of AI-driven solutions, such as predictive analytics for patient care, ultimately enhancing decision-making, reducing costs, and improving the overall healthcare experience.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to the region's strong technological infrastructure. Businesses in sectors like finance, healthcare, retail, and manufacturing are leveraging no-code platforms to streamline operations, enhance customer experiences, and drive innovation. The rise of automation, coupled with the need for cost-effective and accessible AI tools, is fueling the widespread adoption of no-code AI platforms in North America.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by increasing demand for AI solutions that are accessible to non-technical users. Key factors fueling the market's growth include the rise of automation, the need for cost-effective AI solutions, and the growing adoption of digital transformation strategies by organizations of all sizes. Additionally, it is home to several emerging economies, is witnessing increasing investments in AI-driven innovations, especially from countries like China, India, Japan, and South Korea.

Key players in the market

Some of the key players in No-Code AI market include DataRobot Inc., IBM, Levity AI GmbH, Amazon Inc., Clarifai Inc., Google, Caspio Inc., QuickBase Inc., Sift Science, AWS, Bubble, Apple Inc., Akkio Inc., RunwayML and Microsoft Corporation.

Key Developments:

In May 2024, IBM and Salesforce expand partnership to advance open, trusted AI and data ecosystems, combining IBM Watsonx with Salesforce Einstein for greater customer choice, responsible AI development, and industry-specific solutions to enhance customer experiences while safeguarding data and accelerating AI adoption through IBM Consulting and diverse partner ecosystem.

In April 2024, C3 AI and Google Cloud have partnered to democratize generative AI with no-code tools on the Google Cloud Marketplace, making it more accessible to enterprises. This enables more companies to benefit from the technology and improve access to data, boost productivity, and deliver better personalized experiences.

Component Types Covered:
• Platform
• Services

User Types Covered:
• Business Users
• Data Scientists and AI Developers
• IT Professionals
• End Consumers

Deployment Modes Covered:
• Cloud-Based
• On-Premises

Applications Covered:
• Natural Language Processing (NLP)
• Computer Vision
• Robotic Process Automation (RPA)
• Predictive Analytics
• Other Applications

End Users Covered:
• Healthcare
• Retail and E-Commerce
• Banking and Financial Services
• Manufacturing
• Education
• Other End Users

Regions Covered:
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements