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Automated Machine Learning Solution Market Expansion Outlook: What Revenue Opportunities Are Ahead?
The automated machine learning solution market has experienced substantial expansion in recent years. This market is forecast to increase from $3.11 billion in 2025 to $4.59 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 47.5%. The expansion witnessed in previous periods is linked to the increasing adoption of machine learning by businesses, the growing intricacy of ML model development, a lack of skilled data scientists, the need for accelerated model deployment, and the rise of cloud computing platforms.
The automated machine learning solution market is anticipated to experience rapid expansion in the coming years. It is projected to reach $21.72 billion in 2030, exhibiting a compound annual growth rate (CAGR) of 47.5%. This expansion during the forecast period is fueled by several factors, including the integration with AI-powered analytics platforms, the growing embrace of cloud-native AutoML solutions, its broader application in the healthcare and retail industries, the necessity for automated model oversight and tracking, and its increasing uptake by small and medium-sized enterprises (SMEs) as well as major corporations. Key developments expected within this period encompass automated feature generation, advanced hyperparameter tuning utilities, ready-to-use machine learning workflows, automated processes for model assessment and verification, and comprehensive integrated development environments (IDEs) designed for AutoML.
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Automated Machine Learning Solution Market Growth Factors Behind Sustained Expansion
The automated machine learning solution market is expected to expand going forward, driven by the escalating demand for industrial automation. Industrial automation refers to the application of machines, control systems, and software to manage industrial processes with minimal human intervention. The increase in industrial automation is a result of the rising need for greater productivity and faster manufacturing output. Automated machine learning solutions are utilized in industrial automation to analyze real-time data and automatically optimize equipment performance for enhanced efficiency. For instance, in September 2024, the International Federation of Robotics (IFR), a Germany-based non-profit organization, reported that industrial robot installations in the UK climbed by 51%, reaching 3,830 units, while in the Americas, installations surpassed 50,000 units for the third consecutive year, totaling 55,389 units in 2023. Therefore, the growing demand for industrial automation will propel the growth of the automated machine learning solution market.
Automated Machine Learning Solution Market Segment Performance And Emerging Opportunities
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 Fueling Future Revenue Growth
Leading companies in the automated machine learning solution market are embracing novel technological innovations to maintain their industry standing. These advancements in automated ML solutions incorporate enhanced model interpretability and seamless integration, aiming for more streamlined and efficient machine learning model development. For instance, in April 2023, AND Solutions Pte Ltd., a Singapore-based fintech company offering automated machine learning solution platforms, introduced the NIKO AutoML platform. This innovative machine-learning tool was designed to simplify and accelerate the creation of prediction models. The platform furnishes various tools and functionalities, empowering users to swiftly and effortlessly develop and deploy high-quality machine learning models without requiring coding or data science expertise. Its user interface guides users through every stage of the procedure, yielding optimal results in a fraction of the time typically taken by traditional methods. NIKO AutoML presents several significant advantages, including quick and accurate model generation, an optimized workflow, improved productivity, and greater cost-effectiveness.
Automated Machine Learning Solution Market Key Players: Which Companies Lead Industry Competition?
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 Geographic Landscape: Which Region Leads Industry Growth?
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.
