No-Code AI Platform Market Size, Trends, Analysis, Growth and Future Outlook
No-Code AI Platform Market Growth, Size, Trends Analysis - By Component, By Technology, By Deployment, By Enterprise Size, By Vertical - Regional Outlook, Competitive Strategies and Segment Forecast to 2034
| Published: May-2025 | Report ID: IACT2569 | Pages: 1 - 250 | Formats*: |
| Category : Information & Communications Technology | |||
No-Code AI Platform Market Introduction and Overview
According to SPER Market Research, the Global No-Code AI Platform Market is estimated to reach USD 73.99 billion by 2034 with a CAGR of 30.89%.
The report includes an in-depth analysis of the Global No-Code AI Platform Market, including market size and trends, Interface mix, Applications, and supplier analysis. No-code AI platforms enable users to build, deploy, and manage artificial intelligence models without requiring programming expertise, making AI accessible to a broader audience. These platforms use drag-and-drop interfaces, automated workflows, and pre-built AI models to simplify development. Growth is driven by the rising demand for AI solutions across industries, the shortage of skilled data scientists, and the need for faster deployment of AI applications. Additionally, advancements in cloud computing and automation are fueling adoption. However, challenges include limited customization, scalability concerns, and potential biases in pre-trained models. Ensuring data security and regulatory compliance also remains a key hurdle. Despite these challenges, no-code AI platforms are transforming businesses by democratizing AI and accelerating innovation.
By Component Insights:
Based on Component the market is divided into two segments: No-code AI Platforms and Services. In 2024, the no-code AI platforms segment dominated the market by component. Because they democratize AI development and make it possible for people and organizations to utilize AI capabilities without having a high level of technical competence, no-code AI platforms have grown in popularity. For those who wish to use AI technology but lack programming knowledge, no-code AI tools remove the entry hurdle. They make it simple to create AI models and applications with their drag-and-drop capabilities and user-friendly interface.
By Technology Insights:
Based on Technology the market is divided into four segments: Natural Language Processing, Computer Vision, Predictive Analytics and Others. In terms of technology, the market leader in 2024 was natural language processing (NLP), which held the biggest revenue share. AI systems can comprehend and interpret human language thanks to NLP. Users can create applications that can comprehend and react to user inputs in a natural and intuitive way by incorporating natural language processing (NLP) into no-code AI platforms. This makes it possible to develop chatbots, virtual assistants, and language-based user interfaces without the need for sophisticated coding.
By Deployment Insights:
Based on Deployment the market is divided into two segments: Cloud and On-Premise. In 2024, the on-premises segment dominated the market based on deployment. This is explained by the many advantages of the on-premises deployment, including the high level of data protection and safety. Since storing data and models in a company's data center guarantees their security and protection from outside dangers, enterprises favor the on-premises solution. Additionally, businesses have more control over their machine-learning pipeline with on-premises equipment, which can lower expenses and increase productivity.
By Enterprise Size Insights:
Based on Enterprise Size the market is divided into two segments: SMEs and Large Enterprises. According to enterprise size, the large enterprises sector had the biggest revenue share in 2024, owing to the increased adoption of Al technology and data science across major enterprises to give quantitative insights into their operations. No-code AI is used by individual departments within larger enterprises to automate activities that interface with ERP and CRM systems. Platforms for no-code AI help to reduce the friction between business processes, increase operational efficiency, save expenses, and generate more reliable results. No-code AI platforms enable big businesses to better utilize AI technologies, spur innovation, and accomplish corporate goals.
By Vertical Insights:
Based on Vertical the market is divided into six segments: BFSI, Healthcare, Retail & E-Commerce, IT & Telecom, Energy & Utilities and Others. In 2024, the market with the highest revenue share was held by the IT and telecom segment, according to vertical analysis. IT teams may automate a variety of operational operations with no-code AI platforms. These platforms help automate incident management, log analysis, and infrastructure monitoring. IT organizations may increase system stability, decrease downtime, and improve IT service delivery by utilizing AI skills to identify abnormalities, anticipate possible problems, and proactively address them. Furthermore, no-code AI systems help IT firms optimize their infrastructure and networks.
By Regional Insights:
In 2024, North America led the no-code AI platform market thanks to research institutes, several well-known Al businesses in the region, and Al's robust R&D capabilities in developed economies. Profitable growth opportunities are anticipated in North America as a result of increased investment in cutting-edge technology to enhance business procedures and customer experience. Additionally, the region has made considerable investments in Al-related technologies in recent years and possesses great R&D experience in Al. Additionally, they have put rules into place to support the field's growth.
Market Competitive Landscape:
The market for No-Code AI Platform is very competitive. Strategic partnerships, mergers, and acquisitions are common as firms aim to strengthen their market position and expand their global reach. Additionally, there is a trend toward offering customizable solutions to cater to specific industry needs, providing a competitive edge in the market. Some of the prominent players in Global No-Code AI Platform Market are Akkio Inc., Amazon Inc., Apple Inc., Caspio Inc., Clarifai Inc., DataRobot Inc., Google LLC, Levity AI, Microsoft and Quickbase Inc.
Recent Developments:
In October 2023, CyborgIntell, a well-known AI solutions provider, has launched two new capabilities for the BFSI sector: Feature Store and Model Risk Management. Ninety percent less effort is needed for data preparation for modeling thanks to Feature Store, a zero-code AI platform that automatically generates thousands of new features from raw data. This gives financial organizations the ability to examine a range of transactional data, such as relationships, risks, preferences, patterns, behaviors, and routines. In October 2023, Akkio Inc. has launched Generative Reports, an AI solution that immediately converts data into actionable insights. Small and medium-sized organizations can connect their data, describe projects, and automatically produce real-time reports using this special tool. It provides a self-service solution for revenue forecasting, lead scoring, marketing spend optimization, and improving customer experiences. In May 2023, Microsoft invested in Builder.ai in an undisclosed manner. The goal of this strategic partnership was to integrate Natasha, Builder.ai's AI assistant, with Microsoft Teams video and chat software so that users could easily construct business apps within the platform. In order to provide a more human-like conversational experience, Builder.ai also intended to improve Natasha's skills by integrating Microsoft's AI algorithms. In March 2023, Google LLC introduced Gen App Builder, a new tool that enables programmers to create sophisticated generative AI applications without the need for machine learning expertise. The goal of this product launch was to give developers the ability to easily incorporate experience into their websites and applications. It should just take a few minutes or hours to complete this process because to Google LLC's no-code conversational and search capabilities.
Scope of the report:
| Report Metric | Details |
| Market size available for years | 2021-2034 |
| Base year considered | 2024 |
| Forecast period | 2025-2034 |
| Segments covered | By Component, By Technology, By Deployment, By Enterprise Size, By Vertical |
| Regions covered | North America, Latin America, Asia-Pacific, Europe, and Middle East & Africa |
| Companies Covered | Akkio Inc., Amazon Inc., Apple Inc., Caspio Inc., Clarifai Inc., DataRobot Inc., Google LLC, Levity AI, Microsoft, Quickbase Inc. |
Key Topics Covered in the Report
Global No-Code AI Platform Market Size (FY’2021-FY’2034)
Overview of Global No-Code AI Platform Market
Segmentation of Global No-Code AI Platform Market By Component (No-Code AI Platform and Services)
Segmentation of Global No-Code AI Platform Market By Technology (Natural Language Processing, Computer Vision, Predictive Analytics and Others)
Segmentation of Global No-Code AI Platform Market By Deployment (Cloud and On-Premises)
Segmentation of Global No-Code AI Platform Market By Enterprise Size (SMEs and Large Enterprises)
Segmentation of Global No-Code AI Platform Market By Vertical (BFSI, Healthcare, Retail & E-Commerce, IT & Telecom, Energy & Utilities and Others)
Statistical Snap of Global No-Code AI Platform Market
Expansion Analysis of Global No-Code AI Platform Market
Problems and Obstacles in Global No-Code AI Platform Market
Competitive Landscape in the Global No-Code AI Platform Market
Details on Current Investment in Global No-Code AI Platform Market
Competitive Analysis of Global No-Code AI Platform Market
Prominent Players in the Global No-Code AI Platform Market
SWOT Analysis of Global No-Code AI Platform Market
Global No-Code AI Platform Market Future Outlook and Projections (FY’2025-FY’2034)
Recommendations from Analyst
1. Introduction
- 1.1. Scope of the report
- 1.2. Market segment analysis
2. Research Methodology
- 2.1. Research data source
- 2.1.1. Secondary Data
- 2.1.2. Primary Data
- 2.1.3. SPER’s internal database
- 2.1.4. Premium insight from KOL’s
- 2.2. Market size estimation
- 2.2.1. Top-down and Bottom-up approach
- 2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
- 4.1. Driver, Restraint, Opportunity and Challenges analysis
- 4.1.1. Drivers
- 4.1.2. Restraints
- 4.1.3. Opportunities
- 4.1.4. Challenges
5. Market variable and outlook
- 5.1. SWOT Analysis
- 5.1.1. Strengths
- 5.1.2. Weaknesses
- 5.1.3. Opportunities
- 5.1.4. Threats
- 5.2. PESTEL Analysis
- 5.2.1. Political Landscape
- 5.2.2. Economic Landscape
- 5.2.3. Social Landscape
- 5.2.4. Technological Landscape
- 5.2.5. Environmental Landscape
- 5.2.6. Legal Landscape
- 5.3. PORTER’s Five Forces
- 5.3.1. Bargaining power of suppliers
- 5.3.2. Bargaining power of buyers
- 5.3.3. Threat of Substitute
- 5.3.4. Threat of new entrant
- 5.3.5. Competitive rivalry
- 5.4. Heat Map Analysis
6. Competitive Landscape
- 6.1. Global No-Code AI Platform Market Manufacturing Base Distribution, Sales Area, Interface Type
- 6.2. Mergers & Acquisitions, Partnerships, Interface Launch, and Collaboration in Global No-Code AI Platform Market
7. Global No-Code AI Platform Market, By Component 2021-2034 (USD Million)
- 7.1.No-code AI Platforms
- 7.2.Services
8. Global No-Code AI Platform Market, By Technology 2021-2034 (USD Million)
- 8.1. Natural Language Processing
- 8.2. Computer Vision
- 8.3. Predictive Analytics
- 8.4. Others
9. Global No-Code AI Platform Market, By Deployment 2021-2034 (USD Million)
- 9.1. Cloud
- 9.2. On-Premise
10. Global No-Code AI Platform Market, By Enterprise Size 2021-2034 (USD Million)
- 10.1. SMEs
- 10.2. Large Enterprises
11. Global No-Code AI Platform Market, By Vertical 2021-2034 (USD Million)
- 11.1. BFSI
- 11.2. Healthcare
- 11.3. Retail & E-Commerce
- 11.4. IT & Telecom
- 11.5. Energy & Utilities
- 11.6. Others
12. Global No-Code AI Platform Market, 2021-2034 (USD Million)
- 12.1. Global No-Code AI Platform Market Size and Market Share
13. Global No-Code AI Platform Market, By Region, 2021-2034 (USD Million)
- 13.1. Asia-Pacific
- 13.1.1. Australia
- 13.1.2. China
- 13.1.3. India
- 13.1.4. Japan
- 13.1.5. South Korea
- 13.1.6. Rest of Asia-Pacific
- 13.2. Europe
- 13.2.1. France
- 13.2.2. Germany
- 13.2.3. Italy
- 13.2.4. Spain
- 13.2.5. United Kingdom
- 13.2.6. Rest of Europe
- 13.3. Middle East and Africa
- 13.3.1. Kingdom of Saudi Arabia
- 13.3.2. United Arab Emirates
- 13.3.3. Qatar
- 13.3.4. South Africa
- 13.3.5. Egypt
- 13.3.6. Morocco
- 13.3.7. Nigeria
- 13.3.8. Rest of Middle-East and Africa
- 13.4. North America
- 13.4.1. Canada
- 13.4.2. Mexico
- 13.4.3. United States
- 13.5. Latin America
- 13.5.1. Argentina
- 13.5.2. Brazil
- 13.5.3. Rest of Latin America
14. Company Profile
- 14.1. Akkio Inc.
- 14.1.1. Company details
- 14.1.2. Financial outlook
- 14.1.3. Interface summary
- 14.1.4. Recent developments
- 14.2. Amazon Inc.
- 14.2.1. Company details
- 14.2.2. Financial outlook
- 14.2.3. Interface summary
- 14.2.4. Recent developments
- 14.3. Apple Inc.
- 14.3.1. Company details
- 14.3.2. Financial outlook
- 14.3.3. Interface summary
- 14.3.4. Recent developments
- 14.4. Caspio Inc.
- 14.4.1. Company details
- 14.4.2. Financial outlook
- 14.4.3. Interface summary
- 14.4.4. Recent developments
- 14.5. Clarifai Inc.
- 14.5.1. Company details
- 14.5.2. Financial outlook
- 14.5.3. Interface summary
- 14.5.4. Recent developments
- 14.6. DataRobot Inc.
- 14.6.1. Company details
- 14.6.2. Financial outlook
- 14.6.3. Interface summary
- 14.6.4. Recent developments
- 14.7. Google LLC
- 14.7.1. Company details
- 14.7.2. Financial outlook
- 14.7.3. Interface summary
- 14.7.4. Recent developments
- 14.8. Levity AI
- 14.8.1. Company details
- 14.8.2. Financial outlook
- 14.8.3. Interface summary
- 14.8.4. Recent developments
- 14.9. Microsoft
- 14.9.1. Company details
- 14.9.2. Financial outlook
- 14.9.3. Interface summary
- 14.9.4. Recent developments
- 14.10. Quickbase Inc.
- 14.10.1. Company details
- 14.10.2. Financial outlook
- 14.10.3. Interface summary
- 14.10.4. Recent developments
- 14.11. Others
15. Conclusion
16. List of Abbreviations
17. Reference Links
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
Frequently Asked Questions About This Report
No-Code AI Platform Market is projected to reach USD 73.99 billion by 2034, growing at a CAGR of of 30.89% during the forecast period.
No-Code AI Platform Market grew in Market size from 2025. The Market is expected to reach USD 73.99 billion by 2034, at a CAGR of 30.89% during the forecast period.
No-Code AI Platform Market CAGR of 30.89% during the forecast period.
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No-Code AI Platform Market size is USD 73.99 billion from 2025 to 2034.
No-Code AI Platform Market is covered By Component, By Technology, By Deployment, By Enterprise Size, By Vertical
The North America is anticipated to have the highest Market share in the No-Code AI Platform Market .
Akkio Inc., Amazon Inc., Apple Inc., Caspio Inc., Clarifai Inc., DataRobot Inc., Google LLC, Levity AI, Microsoft, Quickbase Inc.
The report includes an in-depth analysis of the Global No-Code AI Platform Market, including market size and trends, Interface mix, Applications, and supplier analysis.
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