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Automated Machine Learning Solution Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The automated machine learning solution market has witnessed significant expansion in recent years. It is projected to increase from $3.11 billion in 2025 to $4.59 billion in 2026, registering a compound annual growth rate (CAGR) of 47.5%. This historical development can be attributed to the rising integration of machine learning in enterprises, the increasing complexity of ML model development, a deficit of skilled data scientists, the need for expedited model deployment, and the emergence of cloud computing platforms.
The automated machine learning solution market size is projected to expand significantly in the coming years, reaching $21.72 billion by 2030 at a compound annual growth rate (CAGR) of 47.5%. This growth during the forecast period is attributed to factors such as integration with AI-driven analytics platforms, increasing adoption of cloud-based AutoML solutions, expansion across healthcare and retail sectors, demand for automated model governance and monitoring, and rising adoption among SMEs and large enterprises. Major trends expected in this period include automated feature engineering, hyperparameter optimization tools, pre-built machine learning pipelines, model evaluation and validation automation, and integrated development environments (IDEs) for AutoML.
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Automated Machine Learning Solution Market Growth Factors Supporting Long-Term Expansion
The escalating need for industrial automation is projected to fuel the expansion of the automated machine learning solution market in the future. Industrial automation involves employing machinery, control systems, and software to execute industrial processes with minimal human involvement. The surge in industrial automation is attributed to the growing requirement for enhanced productivity and expedited manufacturing output. Within industrial automation, automated machine learning solutions are utilized to analyze live data and automatically enhance equipment performance for improved efficiency. For example, in September 2024, the International Federation of Robotics (IFR), a Germany-based non-profit organization, stated that industrial robot installations saw a 51% increase in the UK, reaching 3,830 units. Simultaneously, in the Americas, more than 50,000 units were installed for the third successive year, amounting to 55,389 units in 2023. Consequently, the heightened demand for industrial automation will stimulate the growth of the automated machine learning solution market.
Automated Machine Learning Solution Market Segmentation And Category Breakdown
The automated machine learning solution market covered in this report is segmented –
1) By Offering: Platform, Service
2) By Deployment: On-Premise, Cloud
3) By Enterprise Size: Large Enterprises, SMEs
4) By End-Users: BFSI, Retail And E-Commerce, Healthcare, Manufacturing
Subsegments:
1) By Platform: Cloud-Based Platforms, On-Premises Platforms, Auto ML Tools
2) By Service: Consulting Services, Implementation Services, Support And Maintenance Services, Training And Workshops
Automated Machine Learning Solution Market Industry Trends Shaping Future Revenue Growth
Leading companies in the automated machine learning solution market are adopting advanced technological innovations to sustain their market position. These innovations in automated ML solutions incorporate enhanced model interpretability and seamless integration, leading to more streamlined and efficient machine learning model development. For instance, in April 2023, AND Solutions Pte Ltd., a Singapore-based fintech company that provides automated machine learning solution platforms, introduced the NIKO AutoML platform. This innovative machine-learning tool was created to streamline and expedite the creation of prediction models. The platform offers diverse tools and functionalities, allowing users to swiftly and effortlessly create and deploy high-quality machine learning models without requiring coding or data science expertise. Its user interface assists users through every stage of the procedure, yielding optimal results in a fraction of the time traditional approaches would demand. NIKO AutoML provides several key benefits, including fast and accurate model creation, a streamlined workflow, increased productivity, and cost-effectiveness.
Automated Machine Learning Solution Market Competitive Analysis Of Major Industry Participants
Major companies operating in the automated machine learning solution market are Microsoft Corporation; Amazon Web Services Inc; Microsoft Azure Automated Machine Learning; International Business Machines Corporation; Oracle; SAS Institute Inc; Databricks; Alteryx; H2O.ai; Dataiku; Datarobot Inc; KNIME; Peltarion; RapidMiner; Auger.AI; BigML; dotData Inc; Big Squid Inc; Determined.AI Inc; Turi
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Automated Machine Learning Solution Market Regional Distribution: Which Areas Drive Market Expansion?
North America was the largest region in the automated machine learning solution market in 2025. The regions covered in the automated machine learning solution market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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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.