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Global No-code AI Platform Market to reach USD 21.1 billion by the end of 2030

Global No-code AI Platform Market Size study & Forecast, by Component (No-code AI Platforms, Services), by Technology (Natural Language Processing, Computer Vision, Predictive Analytics, Others), by Deployment (Cloud, On-premises), by Enterprise Size (Small and medium-sized enterprises, Large Enterprises), by Vertical and Regional Analysis, 2023-2030

Product Code: ICTICTI-22879504
Publish Date: 5-12-2023
Page: 200

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:
Ø 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:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered -Component, Technology, Deployment, Enterprise Size, Vertical, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü 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

By Technology:
Natural Language Processing
Computer Vision
Predictive Analytics

By Deployment:

By Enterprise Size:
Small and medium-sized enterprises
Large Enterprise

By Vertical:
Retail & E-Commerce
IT & Telecom
Energy & Utilities
Government & Public Sector

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

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)
1.3. 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 Increasing funding for AI platforms in enterprises Continuous development in AI technology
3.1.2. Market Challenges Limited Customization And Complexity
3.1.3. Market Opportunities Increase in the adoption of IoT, edge computing across various industries 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 Component breakdown estimates & forecasts, 2020-2030 Technology breakdown estimates & forecasts, 2020-2030 Deployment breakdown estimates & forecasts, 2020-2030 Enterprise Size breakdown estimates & forecasts, 2020-2030 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. Key Information Overview Financial (Subject to Data Availability) Product Summary 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

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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