Low Code and No Code Machine Learning Platform Market was valued at USD 2.5 Billion in 2022 and is projected to reach USD 13.8 Billion by 2030, growing at a CAGR of 25.1% from 2024 to 2030.
Despite this rapid adoption, the market's demand fluctuated based on industry-specific needs and technological advancements. Industries like banking, financial services, and insurance (BFSI) led the way, requiring simplified machine learning tools to streamline operations and enhance customer experiences. Furthermore, these platforms also contributed to democratizing AI by allowing more individuals to build and deploy solutions independently.
Looking ahead from 2023 to 2033, the Low Code and No Code Machine Learning Platform Market is projected to experience even more explosive growth. As artificial intelligence (AI) continues to permeate every sector, the demand for easy-to-use ML platforms is expected to rise substantially. Notably, the integration of these platforms with advanced technologies like natural language processing, automation, and predictive analytics will open new doors for innovation.
The future growth is driven by advancements in AI algorithms, the need for cost-effective solutions, and the increasing availability of data. Many businesses, especially small and medium enterprises (SMEs), are embracing these platforms to scale operations without investing heavily in highly specialized talent or expensive infrastructure. This trend will lead to an expansion of the global user base and a wide range of applications for low code and no code machine learning.
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The global Low Code and No Code Machine Learning (ML) Platform Market has experienced a significant transformation between 2018 to 2022. The demand for such platforms surged as businesses sought to leverage machine learning technologies without deep technical expertise. These platforms made it easier for non-developers to create and deploy machine learning models, enabling rapid innovation across various industries, including healthcare, finance, and retail. By removing the complexity associated with traditional coding, organizations accelerated their AI and automation adoption.
During this period, major players in the market made substantial investments in developing user-friendly interfaces, robust features, and integrations with other enterprise tools. The adoption of low code/no code platforms was particularly notable in organizations with limited access to data science resources. Key driving factors included the rising need for faster product development cycles and increasing reliance on data-driven decision-making.
DeepLobe
Cogniflow
MakeML
Obviously Al
SuperAnnotate
Teachable Machine
Apple's Create ML
PyCaret
Lobe
MonkeyLearn
Levity AI
Microsoft PowerApps
By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the Global Low Code and No Code Machine Learning Platform Market
Education
Finance
Bank
Industry
Other
Based on Types the Market is categorized into Below types that held the largest Low Code and No Code Machine Learning Platform market share In 2023.
Low Code Platform
No Code Platform
Global (United States, Global and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the Global Low Code and No Code Machine Learning Platform Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. Global Low Code and No Code Machine Learning Platform Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global Low Code and No Code Machine Learning Platform Market, By Type
6. Global Low Code and No Code Machine Learning Platform Market, By Application
7. Global Low Code and No Code Machine Learning Platform Market, By Geography
Global
Europe
Asia Pacific
Rest of the World
8. Global Low Code and No Code Machine Learning Platform Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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