Global Automated Machine Learning (AutoML) Industry Outlook 2025-2029: Market Set to Cross $10.88 Billion Milestone

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How Large Will the Automated Machine Learning (AutoML) Market Size By 2025?
The market size for automated machine learning (automl) has seen exponential growth in recent times. The market that stood at $1.64 billion in 2024 is predicted to escalate to $2.34 billion in 2025, reflecting a compound annual growth rate (CAGR) of 43.1%. The historical growth has been driven by factors such as the intricate nature of machine learning, the lack of data science skills, the requirement for swift solutions, developments in AI and computing capacities and cost-effectiveness.

How Big Is the Automated Machine Learning (AutoML) Market Size Expected to Grow by 2029?
The market for automated machine learning (automl) is set to experience substantial growth, expected to reach a value of $10.88 billion in 2029, growing at a compound annual growth rate (CAGR) of 46.8%. This predicted growth during the forecast period is due to factors such as the integration of AI across various sectors, the proliferation of IoT and big data, the emergence of edge computing, hybrid cloud, and on-premise solutions, and regulatory compliance needs. Key trends anticipated during this period include automated feature engineering, advancements in federated learning, explainable AI and model interpretability, AutoML application for unstructured data, and autonomous systems.

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Which Key Market Drivers Powering Automated Machine Learning (AutoML) Market Expansion and Growth?
The escalating demand for cutting-edge fraud prevention measures is predicted to fuel the expansion of the automated machine learning (AutoML) market. Fraud detection encompasses the identification and hindrance of deceitful actions within an entity or establishment. AutoML's ability to handle and scrutinise vast data sets, recognise patterns, and spot irregularities which could signal fraudulent conduct makes it ideal for fraud prevention. To illustrate, Allianz Insurance plc, a German firm providing insurance and asset management amenities, reported in February 2024 that they uncovered fraudulent claims worth $95.2 million (£77.4 million) in 2023, up from $86.96 million (£70.7 million) in 2022. Thus, the growing demand for sophisticated fraud prevention methods is accelerating the development of the AutoML market.

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Which Fast-Growing Trends Are Poised to Disrupt the Automated Machine Learning (AutoML) Market?
The adoption of technological advancements is a predominant trend gaining traction in the automated machine learning (AutoML) industry. To stay competitive in the market, leading businesses in the automated machine learning (AutoML) sphere are incorporating innovative technologies. For instance, AND Solutions Pte Ltd., a financial technology firm from Singapore offering automated machine learning (AutoML) platforms, unveiled the NIKO AutoML platform in April 2023. This breakthrough machine-learning tool has been designed to expedite the formulation of prediction models. It provides a host of tools and features, giving users the ability to swiftly and seamlessly develop and implement superior machine learning models, requiring no coding or data science knowledge. The platform's user experience guides users at every step of the process, producing the best outcomes in significantly less time than conventional methods. The NIKO AutoML offers numerous substantial advantages, such as precise and speedy model development, smooth workflow, enhanced operational efficiency, and cost savings.

What Are the Emerging Segments in the Automated Machine Learning (AutoML) Market?
The automated machine learning (automl)market covered in this report is segmented -

1) By Offering: Solutions, Services
2) By Deployment: Cloud, On-Premises
3) By Enterprise: Small And Medium Enterprise, Large Enterprise
4) By Application: Data Processing, Feature Engineering, Model Selection, Hyperparameter Optimization And Tuning, Model Assembling, Other Applications
5) By End User: Banking, Financial Services And Insurance (BFSI), Retail And E-Commerce, Healthcare, Manufacturing, Other End Users

Subsegments:
1) By Solutions: Cloud-Based Solutions, On-Premises Solutions, Integrated Development Environments (IDEs)
2) By Services: Consulting Services, Implementation Services, Training And Support Services

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Who Are the Global Leaders in the Automated Machine Learning (AutoML) Market?
Major companies operating in the automated machine learning (AutoML) market include Google LLC, Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, Salesforce Inc., Teradata Corporation, Alteryx, Altair Engineering Inc., EdgeVerve Systems Limited, TIBCO Software Inc., DataRobot Inc., Dataiku, BigPanda., H2O.ai Inc., KNIME, Cognitivescale, Anyscale Inc., RapidMiner, Squark AI Inc., Auger.AI, DotData Inc., BigML Inc., Valohai, DarwinAI, Aible Inc., SigOpt, Zerion, Xpanse AI, Neptune Labs

Which are the Top Profitable Regional Markets for the Automated Machine Learning (AutoML) Industry?
North America was the largest region in the automated machine learning (AutoML) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the automated machine learning (AutoML) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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