Automated Machine Learning Solution Market Report 2026

The automated machine learning solution market size has grown exponentially in recent years. It will grow from $3.11 billion in 2025 to $4.59 billion in 2026 at a compound annual growth rate (CAGR) of 47.5%. The growth in the historic period can be attributed to growing adoption of machine learning in enterprises, increasing complexity of ml model development, shortage of skilled data scientists, demand for faster model deployment, rise of cloud computing platforms.

The automated machine learning solution market size is expected to see exponential growth in the next few years. It will grow to $21.72 billion in 2030 at a compound annual growth rate (CAGR) of 47.5%. The growth in the forecast period can be attributed to 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, rising adoption among smes and large enterprises. Major trends in the forecast period include automated feature engineering, hyperparameter optimization tools, pre-built machine learning pipelines, model evaluation and validation automation, integrated development environments (ides) for automl.

Rising demand for industrial automation is anticipated to drive the expansion of the automated machine learning solution market in the coming years. Industrial automation involves using machines, control systems, and software to manage industrial processes with minimal human intervention. Its adoption is growing due to the need for higher productivity and faster manufacturing output. Automated machine learning solutions support industrial automation by analyzing real-time data and automatically optimizing equipment performance for improved efficiency. For example, in September 2024, the International Federation of Robotics (IFR), a Germany-based non-profit organization, reported that industrial robot installations in the UK increased by 51% to 3,830 units, while in the Americas, over 50,000 units were installed for the third consecutive year, totaling 55,389 units in 2023. Consequently, the rising demand for industrial automation is expected to propel the growth of the automated machine learning solution market.

Key players in the automated machine learning solution market are actively embracing new technological advancements to fortify their market positions. Technological innovations in automated machine learning (ML) solutions focus on improved model interpretability and seamless integration to facilitate streamlined and efficient machine learning model development. In April 2023, AND Solutions Pte Ltd., a Singapore-based fintech company providing automated machine learning solution platforms, introduced the NIKO AutoML platform. This innovative machine-learning tool is designed to simplify and accelerate the creation of prediction models. Equipped with various tools and functionalities, the NIKO AutoML platform empowers users to swiftly and effortlessly develop and deploy high-quality machine learning models without requiring coding or data science expertise. The user-friendly interface guides users through each step of the process, delivering optimal results in a fraction of the time typically associated with traditional approaches. NIKO AutoML offers several advantages, including rapid and accurate model creation, streamlined workflow, heightened productivity, and cost-effectiveness.

In January 2023, MCKINSEY & COMPANY INC., a U.S.-based management consulting firm, acquired Iguazio LTD. for an undisclosed amount. This acquisition is intended to enhance McKinsey's AI deployment capabilities, facilitating scalable, real-time AI solutions that deliver increased business value for clients. By combining Iguazio’s advanced technology with QuantumBlack, McKinsey aims to provide industry-specific AI solutions with greater efficiency and reliability. Iguazio LTD is an Israel-based software development company specializing in automated machine learning solutions.

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.

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. The countries covered in the automated machine learning solution market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have impacted the automated machine learning solution market by increasing the cost of importing specialized hardware and software components required for AutoML platforms. Regions that rely heavily on imports from Asia-Pacific, such as China and Taiwan, face higher operational costs, particularly in cloud-based deployment and large enterprise solutions. Platform and service offerings are most affected due to their dependence on imported infrastructure and software tools. On the positive side, tariffs are encouraging local software development, investment in domestic AutoML platforms, and innovation in cost-efficient and scalable machine learning solutions.

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

Automated machine learning solutions, categorized as software platforms, streamline and automate the entire process of developing machine learning models. These AutoML solutions are designed to automate crucial tasks in the machine learning model development lifecycle, including feature engineering, model selection, hyperparameter tuning, and model evaluation. This comprehensive automation simplifies the intricate workflow associated with building machine learning models.

The primary offerings of automated machine learning solutions include platforms and services, and they can be deployed either on-premise or on the cloud. In a broader context, a platform serves as a foundation or framework supporting various activities, functions, or applications. AutoML platforms offer an integrated environment that facilitates the seamless execution of the end-to-end machine learning process. Enterprises, ranging from large enterprises to SMEs, across industries such as BFSI, retail and e-commerce, healthcare, and manufacturing, deploy automated machine learning solutions to enhance their machine learning capabilities.

The automated machine learning solutions market consist of revenues earned by entities by providing services such as automated machine learning solutions services. AutoML solutions aim to automate these tasks, enabling individuals with diverse backgrounds to leverage machine learning without extensive manual intervention. The market value includes the value of related goods sold by the service provider or included within the service offering. Automated machine learning solutions market also include sales of cloud-based services, virtual reality, and augmented reality systems that are used in providing solutions for enhanced automated machine learning solutions and the overall well-being of individuals. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

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