No Code Ai Platforms Market
PUBLISHED: 2025 ID: SMRC28481
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No Code Ai Platforms Market

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

4.2 (89 reviews)
4.2 (89 reviews)
Published: 2025 ID: SMRC28481

This report covers the impact of COVID-19 on this global market
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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
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan        
o China        
o India        
o Australia  
o New Zealand
o South Korea
o Rest of Asia Pacific    
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa 
o Saudi Arabia
o UAE
o Qatar
o South Africa
o 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

Free Customization Offerings: 
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary         
           
2 Preface          

 2.1 Abstract         
 2.2 Stake Holders        
 2.3 Research Scope        
 2.4 Research Methodology       
  2.4.1 Data Mining       
  2.4.2 Data Analysis       
  2.4.3 Data Validation       
  2.4.4 Research Approach       
 2.5 Research Sources        
  2.5.1 Primary Research Sources      
  2.5.2 Secondary Research Sources      
  2.5.3 Assumptions       
           
3 Market Trend Analysis        
 3.1 Introduction        
 3.2 Drivers         
 3.3 Restraints        
 3.4 Opportunities        
 3.5 Threats         
 3.6 Application Analysis       
 3.7 End User Analysis        
 3.8 Emerging Markets        
 3.9 Impact of Covid-19        
           
4 Porters Five Force Analysis        
 4.1 Bargaining power of suppliers       
 4.2 Bargaining power of buyers       
 4.3 Threat of substitutes       
 4.4 Threat of new entrants       
 4.5 Competitive rivalry        
           
5 Global No-Code AI Market, By Component Type      
 5.1 Introduction        
 5.2 Platform         
  5.2.1 User Interface (UI)       
  5.2.2 AI Model Builder       
  5.2.3 Data Processing and Management Tools     
  5.2.4 AI Algorithm Library       
  5.2.5 Security and Access Management     
 5.3 Services         
  5.3.1 Professional Services      
  5.3.2 Training and Onboarding      
  5.3.3 Technical Support       
  5.3.4 Custom Development Services     
           
6 Global No-Code AI Market, By User Type       
 6.1 Introduction        
 6.2 Business Users        
 6.3 Data Scientists and AI Developers      
 6.4 IT Professionals        
 6.5 End Consumers        
           
7 Global No-Code AI Market, By Deployment Mode      
 7.1 Introduction        
 7.2 Cloud-Based        
 7.3 On-Premises        
           
8 Global No-Code AI Market, By Application      
 8.1 Introduction        
 8.2 Natural Language Processing (NLP)      
 8.3 Computer Vision        
 8.4 Robotic Process Automation (RPA)      
 8.5 Predictive Analytics        
 8.6 Other Applications        
           
9 Global No-Code AI Market, By End User       
 9.1 Introduction        
 9.2 Healthcare        
 9.3 Retail and E-Commerce       
 9.4 Banking and Financial Services       
 9.5 Manufacturing        
 9.6 Education        
 9.7 Other End Users        
           
10 Global No-Code AI Market, By Geography      
 10.1 Introduction        
 10.2 North America        
  10.2.1 US        
  10.2.2 Canada        
  10.2.3 Mexico        
 10.3 Europe         
  10.3.1 Germany        
  10.3.2 UK        
  10.3.3 Italy        
  10.3.4 France        
  10.3.5 Spain        
  10.3.6 Rest of Europe       
 10.4 Asia Pacific        
  10.4.1 Japan        
  10.4.2 China        
  10.4.3 India        
  10.4.4 Australia        
  10.4.5 New Zealand       
  10.4.6 South Korea       
  10.4.7 Rest of Asia Pacific       
 10.5 South America        
  10.5.1 Argentina       
  10.5.2 Brazil        
  10.5.3 Chile        
  10.5.4 Rest of South America      
 10.6 Middle East & Africa        
  10.6.1 Saudi Arabia       
  10.6.2 UAE        
  10.6.3 Qatar        
  10.6.4 South Africa       
  10.6.5 Rest of Middle East & Africa      
           
11 Key Developments         
 11.1 Agreements, Partnerships, Collaborations and Joint Ventures    
 11.2 Acquisitions & Mergers       
 11.3 New Product Launch       
 11.4 Expansions        
 11.5 Other Key Strategies       
           
12 Company Profiling         
 12.1 DataRobot Inc.         
 12.2 IBM         
 12.3 Levity AI GmbH         
 12.4 Amazon Inc.        
 12.5 Clarifai Inc.        
 12.6 Google         
 12.7 Caspio Inc.        
 12.8 QuickBase Inc.         
 12.9 Sift Science        
 12.10 AWS         
 12.11 Bubble         
 12.12 Apple Inc.        
 12.13 Akkio Inc.        
 12.14 RunwayML        
 12.15 Microsoft Corporation       
           
List of Tables          
1 Global No-Code AI Market Outlook, By Region (2022-2030) ($MN)    
2 Global No-Code AI Market Outlook, By Component Type (2022-2030) ($MN)   
3 Global No-Code AI Market Outlook, By Platform (2022-2030) ($MN)    
4 Global No-Code AI Market Outlook, By User Interface (UI) (2022-2030) ($MN)   
5 Global No-Code AI Market Outlook, By AI Model Builder (2022-2030) ($MN)   
6 Global No-Code AI Market Outlook, By Data Processing and Management Tools (2022-2030) ($MN) 
7 Global No-Code AI Market Outlook, By AI Algorithm Library (2022-2030) ($MN)   
8 Global No-Code AI Market Outlook, By Security and Access Management (2022-2030) ($MN)  
9 Global No-Code AI Market Outlook, By Services (2022-2030) ($MN)    
10 Global No-Code AI Market Outlook, By Professional Services (2022-2030) ($MN)   
11 Global No-Code AI Market Outlook, By Training and Onboarding (2022-2030) ($MN)   
12 Global No-Code AI Market Outlook, By Technical Support (2022-2030) ($MN)   
13 Global No-Code AI Market Outlook, By Custom Development Services (2022-2030) ($MN)  
14 Global No-Code AI Market Outlook, By User Type (2022-2030) ($MN)    
15 Global No-Code AI Market Outlook, By Business Users (2022-2030) ($MN)   
16 Global No-Code AI Market Outlook, By Data Scientists and AI Developers (2022-2030) ($MN)  
17 Global No-Code AI Market Outlook, By IT Professionals (2022-2030) ($MN)   
18 Global No-Code AI Market Outlook, By End Consumers (2022-2030) ($MN)   
19 Global No-Code AI Market Outlook, By Deployment Mode (2022-2030) ($MN)   
20 Global No-Code AI Market Outlook, By Cloud-Based (2022-2030) ($MN)    
21 Global No-Code AI Market Outlook, By On-Premises (2022-2030) ($MN)    
22 Global No-Code AI Market Outlook, By Application (2022-2030) ($MN)    
23 Global No-Code AI Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)  
24 Global No-Code AI Market Outlook, By Computer Vision (2022-2030) ($MN)   
25 Global No-Code AI Market Outlook, By Robotic Process Automation (RPA) (2022-2030) ($MN)  
26 Global No-Code AI Market Outlook, By Predictive Analytics (2022-2030) ($MN)   
27 Global No-Code AI Market Outlook, By Other Applications (2022-2030) ($MN)   
28 Global No-Code AI Market Outlook, By End User (2022-2030) ($MN)    
29 Global No-Code AI Market Outlook, By Healthcare (2022-2030) ($MN)    
30 Global No-Code AI Market Outlook, By Retail and E-Commerce (2022-2030) ($MN)   
31 Global No-Code AI Market Outlook, By Banking and Financial Services (2022-2030) ($MN)  
32 Global No-Code AI Market Outlook, By Manufacturing (2022-2030) ($MN)   
33 Global No-Code AI Market Outlook, By Education (2022-2030) ($MN)    
34 Global No-Code AI Market Outlook, By Other End Users (2022-2030) ($MN)   
           
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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