Summary

The Global No-Code AI Platforms Market is valued at approximately USD 3.68 billion in 2024 and is expected to register a staggering CAGR of 29.60% over the forecast period 2025-2035. As artificial intelligence continues to steer innovation across virtually every industry, the emergence of no-code AI platforms has democratized access to advanced machine learning capabilities. These platforms are fundamentally reshaping the development lifecycle, enabling non-technical professionals and business analysts to construct, deploy, and manage sophisticated AI models—without writing a single line of code. With their intuitive drag-and-drop interfaces, built-in data connectors, and pre-trained models, these tools are reducing dependency on scarce data science talent and accelerating AI adoption across diverse enterprise verticals.
This explosive market growth is largely underpinned by the urgent need for digital agility and data-driven decision-making in a post-pandemic world. Businesses of all sizes, from nimble startups to large-scale enterprises, are increasingly adopting no-code AI platforms to streamline operations, personalize customer experiences, forecast market trends, and automate repetitive tasks. Technologies such as Natural Language Processing (NLP), Computer Vision, and Predictive Analytics are being rapidly integrated into no-code frameworks, allowing organizations to extract actionable intelligence from unstructured data at scale. Additionally, the growing preference for cloud-based deployment, which ensures scalability and low upfront investment, is contributing significantly to the widespread adoption of these platforms.
Regionally, North America is poised to dominate the No-Code AI Platforms Market throughout the forecast period. This leadership position is attributed to its early AI adoption curve, a rich startup ecosystem, and the heavy presence of cloud service providers and AI pioneers in the United States. Europe, on the other hand, is witnessing strong momentum due to supportive regulatory frameworks around ethical AI and data sovereignty. Meanwhile, Asia Pacific is forecasted to register the highest growth rate, fueled by massive digitalization drives in countries like China, India, and Southeast Asia. Rapid cloud infrastructure expansion and increasing AI skill development initiatives are further enhancing the region’s attractiveness for market players and investors alike.
Major market player included in this report are:
• Microsoft Corporation
• Google LLC
• Amazon Web Services, Inc.
• IBM Corporation
• Salesforce, Inc.
• Oracle Corporation
• SAP SE
• AppSheet (Google)
• Akkio Inc.
• Levity AI
• DataRobot Inc.
• Peltarion AB
• Obviously AI
• Caspio, Inc.
• Cognigy GmbH
Global No-Code AI Platforms Market Report Scope:
• Historical Data – 2023, 2024
• Base Year for Estimation – 2024
• Forecast period – 2025-2035
• Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
• Customization Scope – Free report customization (equivalent up to 8 analysts’ working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:
By Component:
• No-code AI Platforms
• Services
By Technology:
• Natural Language Processing (NLP)
• Computer Vision
• Predictive Analytics
• Others
By Deployment:
• Cloud
• On-premises
By Enterprise Size:
• Small and Medium Enterprises (SMEs)
• Large Enterprises
By Vertical:
• BFSI
• Healthcare
• Retail & E-Commerce
• IT & Telecom
• Energy & Utilities
• Government & Public Sector
• Others
By Region:
North America
• U.S.
• Canada
Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE
Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC
Latin America
• Brazil
• Mexico
Middle East & Africa
• UAE
• Saudi Arabia
• South Africa
• Rest of Middle East & Africa
Key Takeaways:
• Market Estimates & Forecast for 10 years from 2025 to 2035.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market.

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Table of Contents

Table of Contents

Chapter 1. Global No-Code AI Platforms Market Report Scope & Methodology
1.1. Research Objective
1.2. Research Methodology
 1.2.1. Forecast Model
 1.2.2. Desk Research
 1.2.3. Top-Down and Bottom-Up Approach
1.3. Research Attributes
1.4. Scope of the Study
 1.4.1. Market Definition
 1.4.2. Market Segmentation
1.5. Research Assumption
 1.5.1. Inclusion & Exclusion
 1.5.2. Limitations
 1.5.3. Years Considered for the Study
Chapter 2. Executive Summary
2.1. CEO/CXO Standpoint
2.2. Strategic Insights
2.3. ESG Analysis
2.4. Key Findings
Chapter 3. Global No-Code AI Platforms Market Forces Analysis
3.1. Market Forces Shaping the Global No-Code AI Platforms Market (2024–2035)
3.2. Drivers
 3.2.1. Democratization of AI through Visual Interfaces
 3.2.2. Urgent Need for Digital Agility and Automation
 3.2.3. Cloud-First Adoption Driving Scalability
3.3. Restraints
 3.3.1. Data Privacy and Compliance Challenges
 3.3.2. Integration Complexity with Legacy Systems
3.4. Opportunities
 3.4.1. SME Adoption and Citizen Developer Growth
 3.4.2. Vertical-Specific AI Solutions
Chapter 4. Global No-Code AI Platforms Industry Analysis
4.1. Porter’s Five Forces Model
 4.1.1. Bargaining Power of Buyers
 4.1.2. Bargaining Power of Suppliers
 4.1.3. Threat of New Entrants
 4.1.4. Threat of Substitutes
 4.1.5. Competitive Rivalry
4.2. Porter’s Five Forces Forecast Model (2024–2035)
4.3. PESTEL Analysis
 4.3.1. Political
 4.3.2. Economic
 4.3.3. Social
 4.3.4. Technological
 4.3.5. Environmental
 4.3.6. Legal
4.4. Top Investment Opportunities
4.5. Top Winning Strategies (2025)
4.6. Market Share Analysis (2024–2025)
4.7. Global Pricing Analysis and Trends (2025)
4.8. Analyst Recommendations & Conclusion
Chapter 5. Global No-Code AI Platforms Market Size & Forecasts by Component 2025–2035
5.1. Market Overview
5.2. No-Code AI Platforms
5.3. Services
Chapter 6. Global No-Code AI Platforms Market Size & Forecasts by Technology 2025–2035
6.1. Market Overview
6.2. Natural Language Processing (NLP)
6.3. Computer Vision
6.4. Predictive Analytics
6.5. Others
Chapter 7. Global No-Code AI Platforms Market Size & Forecasts by Deployment 2025–2035
7.1. Market Overview
7.2. Cloud
7.3. On-premises
Chapter 8. Global No-Code AI Platforms Market Size & Forecasts by Enterprise Size 2025–2035
8.1. Market Overview
8.2. Small and Medium Enterprises (SMEs)
8.3. Large Enterprises
Chapter 9. Global No-Code AI Platforms Market Size & Forecasts by Vertical 2025–2035
9.1. Market Overview
9.2. BFSI
9.3. Healthcare
9.4. Retail & E-Commerce
9.5. IT & Telecom
9.6. Energy & Utilities
9.7. Government & Public Sector
9.8. Others
Chapter 10. Global No-Code AI Platforms Market Size & Forecasts by Region 2025–2035
10.1. Regional Market Snapshot
10.2. Top Leading & Emerging Countries
10.3. North America No-Code AI Platforms Market
 10.3.1. U.S. No-Code AI Platforms Market
  10.3.1.1. Component Breakdown Size & Forecasts, 2025–2035
  10.3.1.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.3.2. Canada No-Code AI Platforms Market
  10.3.2.1. Component Breakdown Size & Forecasts, 2025–2035
  10.3.2.2. Technology Breakdown Size & Forecasts, 2025–2035
10.4. Europe No-Code AI Platforms Market
 10.4.1. UK No-Code AI Platforms Market
  10.4.1.1. Component Breakdown Size & Forecasts, 2025–2035
  10.4.1.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.4.2. Germany No-Code AI Platforms Market
  10.4.2.1. Component Breakdown Size & Forecasts, 2025–2035
  10.4.2.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.4.3. France No-Code AI Platforms Market
  10.4.3.1. Component Breakdown Size & Forecasts, 2025–2035
  10.4.3.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.4.4. Spain No-Code AI Platforms Market
  10.4.4.1. Component Breakdown Size & Forecasts, 2025–2035
  10.4.4.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.4.5. Italy No-Code AI Platforms Market
  10.4.5.1. Component Breakdown Size & Forecasts, 2025–2035
  10.4.5.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.4.6. Rest of Europe No-Code AI Platforms Market
  10.4.6.1. Component Breakdown Size & Forecasts, 2025–2035
  10.4.6.2. Technology Breakdown Size & Forecasts, 2025–2035
10.5. Asia Pacific No-Code AI Platforms Market
 10.5.1. China No-Code AI Platforms Market
  10.5.1.1. Component Breakdown Size & Forecasts, 2025–2035
  10.5.1.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.5.2. India No-Code AI Platforms Market
  10.5.2.1. Component Breakdown Size & Forecasts, 2025–2035
  10.5.2.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.5.3. Japan No-Code AI Platforms Market
  10.5.3.1. Component Breakdown Size & Forecasts, 2025–2035
  10.5.3.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.5.4. Australia No-Code AI Platforms Market
  10.5.4.1. Component Breakdown Size & Forecasts, 2025–2035
  10.5.4.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.5.5. South Korea No-Code AI Platforms Market
  10.5.5.1. Component Breakdown Size & Forecasts, 2025–2035
  10.5.5.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.5.6. Rest of APAC No-Code AI Platforms Market
  10.5.6.1. Component Breakdown Size & Forecasts, 2025–2035
  10.5.6.2. Technology Breakdown Size & Forecasts, 2025–2035
10.6. Latin America No-Code AI Platforms Market
 10.6.1. Brazil No-Code AI Platforms Market
  10.6.1.1. Component Breakdown Size & Forecasts, 2025–2035
  10.6.1.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.6.2. Mexico No-Code AI Platforms Market
  10.6.2.1. Component Breakdown Size & Forecasts, 2025–2035
  10.6.2.2. Technology Breakdown Size & Forecasts, 2025–2035
10.7. Middle East & Africa No-Code AI Platforms Market
 10.7.1. UAE No-Code AI Platforms Market
  10.7.1.1. Component Breakdown Size & Forecasts, 2025–2035
  10.7.1.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.7.2. Saudi Arabia No-Code AI Platforms Market
  10.7.2.1. Component Breakdown Size & Forecasts, 2025–2035
  10.7.2.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.7.3. South Africa No-Code AI Platforms Market
  10.7.3.1. Component Breakdown Size & Forecasts, 2025–2035
  10.7.3.2. Technology Breakdown Size & Forecasts, 2025–2035
 10.7.4. Rest of Middle East & Africa No-Code AI Platforms Market
  10.7.4.1. Component Breakdown Size & Forecasts, 2025–2035
  10.7.4.2. Technology Breakdown Size & Forecasts, 2025–2035
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Microsoft Corporation
 11.2.1. Company Overview
 11.2.2. Key Executives
 11.2.3. Company Snapshot
 11.2.4. Financial Performance (Subject to Data Availability)
 11.2.5. Product/Services Port
 11.2.6. Recent Development
 11.2.7. Market Strategies
 11.2.8. SWOT Analysis
11.3. Google LLC
11.4. Amazon Web Services, Inc.
11.5. IBM Corporation
11.6. Salesforce, Inc.
11.7. Oracle Corporation
11.8. SAP SE
11.9. AppSheet (Google)
11.10. Akkio Inc.
11.11. Levity AI
11.12. DataRobot Inc.
11.13. Peltarion AB
11.14. Obviously AI
11.15. Caspio, Inc.
11.16. Cognigy GmbH