Enhanced with market attractiveness analysis, total addressable market evaluation, company benchmarking matrices, interactive Excel dashboards, expanded supply chain intelligence, emerging startup coverage, and detailed product insights, The Business Research Company’s 2026 market reports deliver more actionable and strategically valuable research.
No-Code Machine Learning Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The no-code machine learning market has experienced substantial expansion in recent years. Its valuation is forecast to climb from $1.45 billion in 2025 to $1.89 billion by 2026, demonstrating a compound annual growth rate (CAGR) of 30.8%. This historical surge can be ascribed to factors such as the increasing need for AI and ML solutions, a scarcity of skilled data scientists, the rising uptake of cloud computing, the progression of enterprise automation, and the wider integration of analytics into business processes.
The no-code machine learning market is projected for substantial expansion in the coming years. By 2030, its valuation is anticipated to reach $5.49 billion, progressing at a compound annual growth rate (CAGR) of 30.5%. This forecasted increase is driven by factors such as the integration with predictive analytics tools, the expansion of business intelligence platforms, the need for quick model deployment, its uptake across the healthcare and BFSI sectors, and the rise of self-service ML platforms. Key developments expected during this period involve the embrace of low-code/no-code solutions, automated model tuning, the empowerment of citizen data scientists, the use of drag-and-drop AI workflows, and the availability of pre-built ML templates.
Download A Free Sample Report For Comprehensive Market Insights:
No-Code Machine Learning Market Expansion Drivers: What Is Shaping Future Growth?
The increasing adoption of the Internet of Things (IoT) is projected to boost the no-code machine learning market’s expansion. IoT, defined as a network of interconnected devices and systems that share data over the Internet to automate processes and improve efficiency, is gaining traction. This widespread embrace of IoT stems from its capacity to enhance operational efficiency, deliver real-time data insights, enable automation and remote monitoring, lower costs, improve decision-making, and foster innovation across diverse sectors by linking and optimizing various devices and systems. No-code machine learning is finding growing application within IoT, simplifying the creation, deployment, and management of machine learning models for users without extensive technical knowledge. A notable example is the report from the Organisation for Economic Co operation and Development (OECD), a France-based intergovernmental organization, which indicated that in December 2023, 33 % of businesses in OECD countries had implemented IoT technologies, marking an increase from 28 % in 2022 and showing a 5 percentage points year-on-year rise. Consequently, the expanding adoption of the Internet of Things (IoT) is a key driver for the growth of the no-code machine learning market.
No-Code Machine Learning Market Segment Analysis: What Are The Major Market Categories?
The no-code machine learning market covered in this report is segmented –
1) By Offering: Platform, Services
2) By Deployment Mode: Cloud-Based, On-Premise
3) By Industry Vertical: Banking, Financial Services And Insurance (BFSI), Healthcare, Retail, Information Technology(IT) And Telecom, Manufacturing, Government
4) By Application: Predictive Analytics, Process Automation, Data Visualization, Business Intelligence, Customer Relationship Management, Supply Chain Optimization
Subsegments:
1) By Platform: Automated Machine Learning Platforms (AutoML), Drag-and-Drop Machine Learning Platforms, Model Deployment Platforms, Data Preparation Platforms, Visualization Aand Reporting Platforms, Integration Platforms for APIs And Data Sources
2) By Services: Consulting Services, Implementation Services, Training and Education Services, Support And Maintenance Services, Custom Solution Development Services
#No-Code Machine Learning Market Trends Influencing Long-Term Demand
Leading companies in the no-code machine learning market are primarily engaged in advancing technology to improve workflow automation, specifically through no-code machine learning tools. These tools enable users to build and deploy machine learning models without needing to write code, thereby making the technology more attainable for non-technical individuals. For example, in December 2023, Amazon, a US-based technology company, unveiled SageMaker Canvas, a no-code machine learning tool created to allow users without coding expertise to construct machine learning models. This tool, aimed at business analysts and non-technical users, offers an intuitive interface for simplified model creation, data preparation, and training. Its vital applications include predicting customer churn, identifying fraud, and optimizing inventory.
No-Code Machine Learning Market Leading Companies Driving Competitive Growth
Major companies operating in the no-code machine learning market are Apple Create ML, Microsoft Azure Machine Learning Studio, Amazon Web Services, SAS Viya, DataRobot Inc, LityxIQ, H2O.ai, Dataiku DSS, C3 AI Suite, RapidMiner Studio, BigML Inc., Google Teachable Machine, Edge Impulse, Microsoft Lobe, KNIME Analytics Platform, MonkeyLearn, Akkio AI, Obviously AI, Runway ML, Fritz AI, Sway AI, PyCaret, Ever AI, Neural Designer
Access The Complete No-Code Machine Learning Market Report:
No-Code Machine Learning Market Regional Analysis And Leading Geography
North America was the largest region in the no-code machine learning market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the no-code machine learning market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Get in touch with us:
The Business Research Company: https://www.thebusinessresearchcompany.com/
Americas: +1 310-496-7795
Asia: +44 7882 955267 & +91 8897263534
Europe: +44 7882 955267
Email us at: marketing@tbrc.info
Follow us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model
Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.