Automated Machine Learning (AutoML) Market Report 2026

Automated Machine Learning (AutoML) Market Overview

• Automated Machine Learning (AutoML) market size has reached to $2.34 billion in 2025 • Expected to grow to $16.06 billion in 2030 at a compound annual growth rate (CAGR) of 47% • Growth Driver: Advanced Fraud Detection Drives AutoML Market Growth • Market Trend: AutoML Platforms With Arm Compiler Support For Next-Gen AI Solutions • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Automated Machine Learning (AutoML) Market?

Automated machine learning (AutoML) is the process of applying machine learning to practical issues AutoML automates machine learning models' selection, composition, and parameterization, making the machine learning process more user-friendly and often providing faster, more accurate outputs than hand-coded algorithms. The main offerings of automated machine learning (AutoML) are solutions and services. Solutions involve the implementation of software tools to address specific issues within an organization, and these automated machine learning solutions allow business users to easily adopt machine learning solutions, freeing up data scientists to focus on more challenging challenges. The various deployments include cloud and on-premises in small and medium enterprises and large enterprises. These are used for several applications, including data processing, feature engineering, model selection, hyperparameter optimization and tuning, model assembling, and others, that are used by various end-users such as banking, financial services, and insurance (BFSI), retail and e-commerce, healthcare, manufacturing, and others.

What Is The Automated Machine Learning (AutoML) Market Growth Forecast?

The automated machine learning (automl) market size is expected to see exponential growth in the next few years. It will grow to $16.06 billion in 2030 at a compound annual growth rate (CAGR) of 47.0%. The growth in the forecast period can be attributed to increasing adoption by small and medium enterprises, integration with business intelligence tools, growth of automated decision-making systems, demand for real-time analytics, expansion of ai-driven digital transformation. Major trends in the forecast period include simplification of model development, automated feature engineering, rapid deployment of ml models, democratization of data science, scalable cloud-based automl platforms.

Global Automated Machine Learning (AutoML) Market Segmentation

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

What Is The Driver Of The Automated Machine Learning (AutoML) Market?

The rising need for advanced fraud detection solutions is expected to propel the growth of the automated machine learning (AutoML) market going forward. Fraud detection involves identifying and preventing fraudulent activities or behaviours within a system or organisation. Automated machine learning (AutoML) can be used for fraud detection by leveraging its capabilities to process and analyse large volumes of data, identify patterns, and detect anomalies that may indicate fraudulent activities. For instance, in February 2024, according to Allianz Insurance plc, a Germany-based company offering insurance and asset management services, $95.2 million (£77.4 million worth of claims fraud were identified in 2023, marking an increase from $86.96 million (£70.7 million) in 2022. Therefore, the rising need for advanced fraud detection solutions drives the growth of the automated machine learning (AutoML) industry.

Key Players In The Global Automated Machine Learning (AutoML) Market

Major companies operating in the automated machine learning (automl) market are 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; H2O.AI Inc.; KNIME; Cognitivescale; Anyscale Inc.; RapidMiner; Squark AI Inc.; Auger.AI; DotData Inc.; BigML Inc.; Valohai; DarwinAI; Aible Inc.; SigOpt; Xpanse AI; Neptune Labs

Global Automated Machine Learning (AutoML) Market Trends and Insights

Major companies operating in the automated machine learning (AutoML) market are focusing on developing innovative solutions, such as an AutoML platform for ARM compilers. AutoML for the Arm compiler typically refers to the integration of automated machine learning (AutoML) capabilities with the Arm compiler, which is a compiler designed to generate machine code for Arm processors. For instance, in March 2023, TDK Corporation, a Tokyo-based electronic solutions manufacturer, announced the launch of ‘Qeexo AutoML’. The Qeexo AutoML platform is tailored for lightweight Cortex-M0 to -M4 class processors, boasting support for a diverse array of machine learning algorithms. Notably, it excels in delivering ultra-low latency and power consumption. The platform empowers customers to quickly create and implement machine learning solutions by utilizing sensor data. With an exceptionally small memory footprint, it is ideal for deployment in industrial, IoT, wearables, automotive, mobile, and other resource-constrained environments.

What Are Latest Mergers And Acquisitions In The Automated Machine Learning (AutoML) Market?

In May 2023, Infineon Technologies AG, a Germany-based semiconductor manufacturer, acquired Imagimob AB for an undisclosed amount. The acquisition allows Infineon Technologies to strengthen its position in the growing market for embedded AI solutions and tiny machine learning, enhancing its capabilities to deliver advanced functionalities and energy-efficient control in IoT applications. Imagimob AB is a Sweden-based company specialising in edge AI and tinyML to enable the intelligent products of the future.

Regional Insights

North America was the largest region in the automated machine learning (AutoML) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

What Defines the Automated Machine Learning (AutoML) Market?

The automated machine learning (AutoML) market includes revenues earned by entities by providing data visualisation, deployment of technology, monitoring and problem cracking, fraud detection, neural architecture search (NAS), and workflow optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Automated Machine Learning (AutoML) Market Report 2026?

The automated machine learning (automl) market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the automated machine learning (automl) industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.