Machine Learning (ML) Intelligent Process Automation Market Report 2026

Machine Learning (ML) Intelligent Process Automation Market Overview

• Machine Learning (ML) Intelligent Process Automation market size has reached to $23.01 billion in 2025 • Expected to grow to $47.65 billion in 2030 at a compound annual growth rate (CAGR) of 15.1% • Growth Driver: Digital Transformation Is Fueling Expansion Of The Machine Learning Intelligent Process Automation Market • Market Trend: Companies Innovate Artificial Intelligence Platforms To Enhance Productivity And Streamline Operations • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Machine Learning (ML) Intelligent Process Automation Market?

Machine learning intelligent process automation refers to the application of machine learning algorithms and artificial intelligence (AI) technologies to automate and optimise business processes across various industries. It utilises algorithms to analyse data, make decisions, and execute actions, leading to more efficient and intelligent automation of complex workflows and business processes. The main types of machine learning (ML) intelligent process automation are structured and unstructured. Structured refers to the application of algorithms to automate repetitive tasks and workflows using structured data. The various components include solutions, software tools, platforms, services, professional services, advisory or consulting, design and implementation, training, support and maintenance, and others, which are used for several applications, such as information technology operations, contact centre management, business process automation, application management, content management, security management, and others. It is utilised by numerous end users, such as banking, financial services, insurance (BFSI), telecommunications and information technology (IT), transport and logistics, media and entertainment, retail and e-commerce, manufacturing, healthcare and life sciences, and human resource management.

What Is The Machine Learning (ML) Intelligent Process Automation Market Growth Forecast?

The machine learning (ml) intelligent process automation market size is expected to see rapid growth in the next few years. It will grow to $47.65 billion in 2030 at a compound annual growth rate (CAGR) of 15.1%. The growth in the forecast period can be attributed to cloud-based AI adoption, enterprise digital transformation, demand for process optimization, growth in RPA and ML integration, focus on operational efficiency. Major trends in the forecast period include ai-driven workflow automation, predictive process analytics, natural language processing (nlp) automation, intelligent decision support systems, robotic process automation integration.

Global Machine Learning (ML) Intelligent Process Automation Market Segmentation

1) By Type: Structured, Unstructured 2) By Component: Solutions, Software Tools, Platforms, Services, Professional Services, Advisory Or Consulting, Design And Implementation, Training, Support And Maintenance, Other Components 3) By Application: Information Technology Operations, Contact Center Management, Business Process Automation, Application Management, Content Management, Security Management, Other Applications 4) By End User: Banking, Financial Services, Insurance (BFSI), Telecommunications And Information Technology (IT), Transport And Logistics, Media And Entertainment, Retail And E-Commerce, Manufacturing, Healthcare And Life Sciences, Human Resource Management Subsegments: 1) By Structured: Data Extraction, Data Classification, Data Processing, Data Integration 2) By Unstructured: Natural Language Processing (NLP), Image Recognition, Text Analytics, Speech Recognition

What Is The Driver Of The Machine Learning (ML) Intelligent Process Automation Market?

The growing demand for digital transformation is expected to propel the growth of the machine learning (ML) intelligent process automation market going forward. Digital transformation refers to the incorporation of digital technologies into an organisation's products, processes, and strategies to enhance efficiency, productivity, customer engagement, innovation, and revenue. The demand for digital transformation is driven by the need for increased efficiency, agility, and competitiveness in an increasingly digital and interconnected business landscape. Digital transformation utilises machine learning and intelligent process automation to automate repetitive tasks, optimise processes, and make data-driven decisions across various business functions, enhancing efficiency and productivity. For instance, in November 2023, according to the Central Digital and Data Office, a UK-based government office, between April 2022 and April 2023, the government's digital and data profession saw a significant growth of 19%, effectively fulfilling essential requirements for digital expertise. Additionally, in December 2023, according to the European Commission (EC), the Belgium-based executive body of the European Union (EU), the adoption of cloud-based solutions in 2023 in the European Union increased by 4.2 percentage points, with 45.2% of enterprises purchasing cloud computing services. Therefore, the growing demand for digital transformation is driving the growth of the machine learning intelligent process automation market.

Key Players In The Global Machine Learning (ML) Intelligent Process Automation Market

Major companies operating in the machine learning (ml) intelligent process automation market are Alibaba Group Holding Limited; Accenture plc; International Business Machines Corporation; SAP SE; Tata Consultancy Services Limited; Capgemini SE; Atos SE; Wipro Limited; Xerox Holdings Corporation; NICE Ltd.; Blue Prism Group plc; Pegasystems Inc.; BlueHalo LLC; UiPath Inc.; Automation Anywhere Inc.; Appian Corporation; Kofax Inc.; Bright Machines Inc.; Cove.Tool Inc.; Larc AI Ltd.; Cinnamon Inc.; AutomationEdge Technologies Inc.; AntWorks Global Limited

Global Machine Learning (ML) Intelligent Process Automation Market Trends and Insights

Major companies operating in the machine learning intelligent process automation market are integrating their efforts into developing advanced solutions, such as artificial intelligence platforms, to streamline operations and enhance productivity. Artificial intelligence platforms are software solutions that enable the development and management of AI applications for improved decision-making and efficiency. For instance, in March 2024, Cognizant, a US-based global technology company, launched the Advanced Artificial Intelligence Lab. The Advanced Artificial Intelligence Lab refers to various research facilities dedicated to advancing the field of artificial intelligence through innovative research and development. This is aimed at accelerating AI research and innovation and will focus on advancing the science and practice of AI through innovation and development of intellectual property and AI-enablement technologies.

What Are Latest Mergers And Acquisitions In The Machine Learning (ML) Intelligent Process Automation Market?

In January 2023, McKinsey, a US-based management consulting company, acquired Iguazio for an undisclosed amount. Through this acquisition, McKinsey will be able to accelerate and scale AI deployments dramatically. This transaction enables McKinsey to expand its AI capabilities, offering customers industry-specific AI solutions that are more productive, faster from proof-of-concept to production, and more dependable. Iguazio is an Israel-based software company that provides ML intelligent automation processes through its MLOps Platform.

Regional Insights

North America was the largest region in the machine learning (ML) intelligent process automation 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 Machine Learning (ML) Intelligent Process Automation Market?

The machine learning (ML) intelligent process automation market includes revenues earned by entities by providing services such as automated data extraction, predictive analytics, anomaly detection, and natural language processing (NLP) for text understanding. 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 Machine Learning (ML) Intelligent Process Automation Market Report 2026?

The machine learning (ml) intelligent process automation 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 machine learning (ml) intelligent process automation 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.