Global No-code AI Platform Market is valued at approximately USD 3.06 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 27.3% over the forecast period 2023-2030. The No-code AI Platform encompasses in providing software platforms that allow users to develop and deploy artificial intelligence (AI) applications and solutions without the need for coding or programming skills, enabling businesses and individuals to harness the power of AI technology in a user-friendly and accessible manner. The No-code AI Platform Market is being driven by factors such as increasing funding for AI platforms and continuous development in AI technology.
The No-code AI platforms make it simple to create AI models and apps by offering a user-friendly interface and drag-and-drop capability. . For instance, in February 2023, Appy Pie LLP integrated artificial intelligence (AI) into their app development process through their innovative AI App Generator. This cutting-edge platform utilizes machine learning and Natural Language Processing (NLP) techniques to transform text into fully functional applications. By leveraging AI technology, users can efficiently and rapidly build and launch their own apps, streamlining the app-making process. Along with this increasing funding for AI platforms also driving the market. As an illustration, Basetwo Artificial Intelligence Inc., a SaaS AI platform for manufacturers, raised USD 3.8 million in early funding for the introduction of their cutting-edge Basetwo AI platform in May 2022.The platform enables process engineers to easily create digital twins of manufacturing plants using a user-friendly no-code interface. This solution is the first of its kind, revolutionizing the way manufacturers build and optimize their operations. Thus, increasing funding for AI platforms and continuous improvement in AI technology fuel the growth of the market. In addition, increasing the adoption of AI in enterprises and increase in the adoption of IoT, edge computing across various industries create lucrative opportunities for the market. However, the limited customization and complexity hinder market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global No-code AI Platform Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the advanced technological landscape and innovation hubs. The region has a robust infrastructure and a mature ecosystem that fosters the development and adoption of cutting-edge technologies such as no-code AI platforms. Asia Pacific is considered as a fastest growing region over the forecasted period due to Governments and businesses investing in advanced technologies such as AI to enhance productivity, efficiency, and competitiveness. No-code AI platforms offer a user-friendly and accessible way for businesses in the region to incorporate AI capabilities into their operations.
Major market player included in this report are:
- Akkio Inc.
- Amazon.com, Inc.
- Apple Inc.
- Caspio, Inc.
- Clarifai, Inc.
- DataRobot, Inc.
- Google LLC
- Levity AI GmbH
- Microsoft Corporation
- Quickbase, Inc.
Recent Developments in the Market:
- In April 2023, Moveworks, Inc. introduced Creator Studio, a conversational AI platform that empowers customers to develop customized conversational AI chatbots using generative AI capabilities, all without requiring extensive coding expertise. This new no-code platform enables users to build large language model interfaces, leveraging the power of AI technology to create their own personalized chatbot solutions.
Global No-code AI Platform Market Report Scope:
- Historical Data - 2020 - 2021
- Base Year for Estimation - 2022
- Forecast period - 2023-2030
- Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
- Segments Covered -Component, Technology, Deployment, Enterprise Size, Vertical, Region
- Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
- Customization Scope - Free report customization (equivalent up to 8 analyst's 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 to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
- No-code AI Platforms
- Services
By Technology:
- Natural Language Processing
- Computer Vision
- Predictive Analytics
- Others
By Deployment:
By Enterprise Size:
- Small and medium-sized enterprises
- Large Enterprise
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
- Saudi Arabia
- South Africa
- Rest of Middle East & Africa
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
- 1.2.1. No-code AI Platform Market , by Region, 2020-2030 (USD Billion)
- 1.2.2. No-code AI Platform Market , by Component, 2020-2030 (USD Billion)
- 1.2.3. No-code AI Platform Market , by Technology, 2020-2030 (USD Billion)
- 1.2.4. No-code AI Platform Market , by Deployment, 2020-2030 (USD Billion)
- 1.2.5. No-code AI Platform Market , by Enterprise Size, 2020-2030 (USD Billion)
- 1.2.6. No-code AI Platform Market , by Vertical, 2020-2030 (USD Billion)
- 1.2.7.
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global No-code AI Platform Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Industry Evolution
- 2.2.2. Scope of the Study
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global No-code AI Platform Market Dynamics
- 3.1. No-code AI Platform Market Impact Analysis (2020-2030)
- 3.1.1. Market Drivers
- 3.1.1.1. Increasing funding for AI platforms in enterprises
- 3.1.1.2. Continuous development in AI technology
- 3.1.2. Market Challenges
- 3.1.2.1. Limited Customization And Complexity
- 3.1.3. Market Opportunities
- 3.1.3.1. Increase in the adoption of IoT, edge computing across various industries
- 3.1.3.2. Increasing adoption of AI in enterprises
Chapter 4. Global No-code AI Platform Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. Porter's 5 Force Impact Analysis
- 4.3. PEST Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
- 4.4. Top investment opportunity
- 4.5. Top winning strategies
- 4.6. COVID-19 Impact Analysis
- 4.7. Disruptive Trends
- 4.8. Industry Expert Perspective
- 4.9. Analyst Recommendation & Conclusion
Chapter 5. Global No-code AI Platform Market, by Component
- 5.1. Market Snapshot
- 5.2. Global No-code AI Platform Market by Component, Performance - Potential Analysis
- 5.3. Global No-code AI Platform Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
- 5.4. No-code AI Platform Market , Sub Segment Analysis
- 5.4.1. No-code AI Platforms
- 5.4.2. Services
Chapter 6. Global No-code AI Platform Market, by Technology
- 6.1. Market Snapshot
- 6.2. Global No-code AI Platform Market by Technology, Performance - Potential Analysis
- 6.3. Global No-code AI Platform Market Estimates & Forecasts by Technology 2020-2030 (USD Billion)
- 6.4. No-code AI Platform Market , Sub Segment Analysis
- 6.4.1. Natural Language Processing
- 6.4.2. Computer Vision
- 6.4.3. Predictive Analytics
- 6.4.4. Others
Chapter 7. Global No-code AI Platform Market, by Deployment
- 7.1. Market Snapshot
- 7.2. Global No-code AI Platform Market by Deployment, Performance - Potential Analysis
- 7.3. Global No-code AI Platform Market Estimates & Forecasts by Deployment 2020-2030 (USD Billion)
- 7.4. No-code AI Platform Market , Sub Segment Analysis
- 7.4.1. Cloud
- 7.4.2. On-premises
Chapter 8. Global No-code AI Platform Market, by Enterprise Size
- 8.1. Market Snapshot
- 8.2. Global No-code AI Platform Market by Enterprise Size, Performance - Potential Analysis
- 8.3. Global No-code AI Platform Market Estimates & Forecasts by Enterprise Size 2020-2030 (USD Billion)
- 8.4. No-code AI Platform Market , Sub Segment Analysis
- 8.4.1. Small and medium-sized enterprises
- 8.4.2. Large Enterprise
Chapter 9. Global No-code AI Platform Market, by Vertical
- 9.1. Market Snapshot
- 9.2. Global No-code AI Platform Market by Vertical, Performance - Potential Analysis
- 9.3. Global No-code AI Platform Market Estimates & Forecasts by Vertical 2020-2030 (USD Billion)
- 9.4. No-code AI Platform Market , Sub Segment Analysis
- 9.4.1. BFSI
- 9.4.2. Healthcare
- 9.4.3. Retail & E-Commerce
- 9.4.4. IT & Telecom
- 9.4.5. Energy & Utilities
- 9.4.6. Government & Public Sector
- 9.4.7. Others
Chapter 10. Global No-code AI Platform Market, Regional Analysis
- 10.1. Top Leading Countries
- 10.2. Top Emerging Countries
- 10.3. No-code AI Platform Market , Regional Market Snapshot
- 10.4. North America No-code AI Platform Market
- 10.4.1. U.S. No-code AI Platform Market
- 10.4.1.1. Component breakdown estimates & forecasts, 2020-2030
- 10.4.1.2. Technology breakdown estimates & forecasts, 2020-2030
- 10.4.1.3. Deployment breakdown estimates & forecasts, 2020-2030
- 10.4.1.4. Enterprise Size breakdown estimates & forecasts, 2020-2030
- 10.4.1.5. Vertical breakdown estimates & forecasts, 2020-2030
- 10.4.2. Canada No-code AI Platform Market
- 10.5. Europe No-code AI Platform Market Snapshot
- 10.5.1. U.K. No-code AI Platform Market
- 10.5.2. Germany No-code AI Platform Market
- 10.5.3. France No-code AI Platform Market
- 10.5.4. Spain No-code AI Platform Market
- 10.5.5. Italy No-code AI Platform Market
- 10.5.6. Rest of Europe No-code AI Platform Market
- 10.6. Asia-Pacific No-code AI Platform Market Snapshot
- 10.6.1. China No-code AI Platform Market
- 10.6.2. India No-code AI Platform Market
- 10.6.3. Japan No-code AI Platform Market
- 10.6.4. Australia No-code AI Platform Market
- 10.6.5. South Korea No-code AI Platform Market
- 10.6.6. Rest of Asia Pacific No-code AI Platform Market
- 10.7. Latin America No-code AI Platform Market Snapshot
- 10.7.1. Brazil No-code AI Platform Market
- 10.7.2. Mexico No-code AI Platform Market
- 10.8. Middle East & Africa No-code AI Platform Market
- 10.8.1. Saudi Arabia No-code AI Platform Market
- 10.8.2. South Africa No-code AI Platform Market
- 10.8.3. Rest of Middle East & Africa No-code AI Platform Market
Chapter 11. Competitive Intelligence
- 11.1. Key Company SWOT Analysis
- 11.1.1. Company 1
- 11.1.2. Company 2
- 11.1.3. Company 3
- 11.2. Top Market Strategies
- 11.3. Company Profiles
- 11.3.1. Akkio Inc.
- 11.3.1.1. Key Information
- 11.3.1.2. Overview
- 11.3.1.3. Financial (Subject to Data Availability)
- 11.3.1.4. Product Summary
- 11.3.1.5. Recent Developments
- 11.3.2. Amazon.com, Inc.
- 11.3.3. Apple Inc.
- 11.3.4. Caspio, Inc.
- 11.3.5. Clarifai, Inc.
- 11.3.6. DataRobot, Inc.
- 11.3.7. Google LLC
- 11.3.8. Levity AI GmbH
- 11.3.9. Microsoft Corporation
- 11.3.10. Quickbase, Inc.
Chapter 12. Research Process
- 12.1. Research Process
- 12.1.1. Data Mining
- 12.1.2. Analysis
- 12.1.3. Market Estimation
- 12.1.4. Validation
- 12.1.5. Publishing
- 12.2. Research Attributes
- 12.3. Research Assumption