This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
The machine learning (ML) intelligent process automation market size has grown rapidly in recent years. It will grow from $19.58 billion in 2024 to $23.19 billion in 2025 at a compound annual growth rate (CAGR) of 18.4%. The growth in the historic period can be attributed to increased spending on business operations optimization, technological adoption across various industry sectors, demand for intelligent process automation solutions and services, focus on automation to reduce manual efforts, and emphasis on improving operational efficiency.
The machine learning (ML) intelligent process automation market size is expected to see rapid growth in the next few years. It will grow to $45.09 billion in 2029 at a compound annual growth rate (CAGR) of 18.1%. The growth in the forecast period can be attributed to the integration of emerging technologies, expansion and enhancement of product portfolios, adoption of innovative automation solutions, increasing demand for automation technologies in developing countries, and focus on automation to enhance customer experience. Major trends in the forecast period include the integration of cloud-based technologies for automation, increased use of machine learning algorithms for efficiency, rise in virtual agents for customer service enhancement, adoption of natural language processing for improved interactions, and focus on AI-driven decision-making processes.
The increasing demand for digital transformation is expected to drive the growth of the machine learning (ML) intelligent process automation market in the coming years. Digital transformation involves integrating digital technologies into an organization’s products, processes, and strategies to improve efficiency, productivity, customer engagement, innovation, and revenue. The demand for digital transformation is primarily driven by the need for greater efficiency, agility, and competitiveness in a rapidly evolving and interconnected business environment. Machine learning intelligent process automation plays a crucial role in digital transformation by automating repetitive tasks, optimizing processes, and enabling data-driven decisions across various business functions, ultimately boosting efficiency and productivity. For example, in November 2023, the Central Digital and Data Office, a UK-based government body, reported a 19% growth in the digital and data profession between April 2022 and April 2023, meeting critical demands for digital expertise. Moreover, in December 2023, the European Commission revealed that cloud-based solution adoption in the European Union increased by 4.2 percentage points in 2023, with 45.2% of businesses purchasing cloud computing services, reflecting a significant rise compared to 2021. As a result, the growing demand for digital transformation is fueling the growth of the machine learning intelligent process automation market.
Key players in the machine learning intelligent process automation market are focusing on the development of advanced solutions, such as artificial intelligence platforms, to optimize operations and boost productivity. Artificial intelligence platforms are software solutions that facilitate the creation and management of AI applications, enhancing decision-making and efficiency. For example, in March 2024, Cognizant, a US-based global technology company, unveiled the Advanced Artificial Intelligence Lab. This lab is dedicated to advancing AI through research and development, with a goal of accelerating innovation in the field. The initiative will focus on advancing AI science, creating intellectual property, and developing AI-enablement technologies.
In January 2023, McKinsey, a renowned management consulting firm, acquired Iguazio for an undisclosed sum. This strategic acquisition enables McKinsey to significantly accelerate and scale AI deployments. By leveraging Iguazio's MLOps Platform, McKinsey aims to expand its AI capabilities and deliver industry-specific AI solutions that are more productive, expedite the journey from proof-of-concept to production, and enhance reliability. Iguazio, an Israel-based software company, specializes in providing ML intelligent automation processes through its MLOps Platform, thus complementing McKinsey's offerings and bolstering its position in the AI-driven digital transformation landscape.
Major companies operating in the machine learning (ML) intelligent process automation market are Alibaba Group Holding Limited, Accenture plc, International Business Machines Corporation (IBM), SAP SE, Tata Consultancy Services Limited (TCS), 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 (Pty) Ltd., Cinnamon Inc., AutomationEdge Technologies Inc., AntWorks Global Limited.
North America was the largest region in the machine learning (ML) intelligent process automation market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning (ML) intelligent process automation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the machine learning (ML) intelligent process automation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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.
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).
Machine learning intelligent process automation (MLIPA) refers to the utilization of machine learning algorithms and artificial intelligence (AI) technologies to automate and optimize business processes across various industries. By leveraging algorithms to analyze data, make decisions, and execute actions, MLIPA enables more efficient and intelligent automation of complex workflows and business processes.
The primary types of MLIPA can be categorized as structured and unstructured. Structured MLIPA involves the application of algorithms to automate repetitive tasks and workflows using structured data. This encompasses various components such as solutions, software tools, platforms, and services including professional services, advisory or consulting, design and implementation, training, support, and maintenance. These solutions find applications across diverse domains including information technology operations, contact center management, business process automation, application management, content management, security management, and others. MLIPA is utilized by a wide range of end-users including those in 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.
The machine learning (ML) intelligent process automation research report is one of a series of new reports that provides machine learning (ML) intelligent process automation market statistics, including the machine learning (ML) intelligent process automation industry's global market size, regional shares, competitors with a machine learning (ML) intelligent process automation market share, detailed machine learning (ML) intelligent process automation market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning (ML) intelligent process automation industry. This machine learning (ML) intelligent process automation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
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.
This product will be delivered within 3-5 business days.
The machine learning (ML) intelligent process automation market size has grown rapidly in recent years. It will grow from $19.58 billion in 2024 to $23.19 billion in 2025 at a compound annual growth rate (CAGR) of 18.4%. The growth in the historic period can be attributed to increased spending on business operations optimization, technological adoption across various industry sectors, demand for intelligent process automation solutions and services, focus on automation to reduce manual efforts, and emphasis on improving operational efficiency.
The machine learning (ML) intelligent process automation market size is expected to see rapid growth in the next few years. It will grow to $45.09 billion in 2029 at a compound annual growth rate (CAGR) of 18.1%. The growth in the forecast period can be attributed to the integration of emerging technologies, expansion and enhancement of product portfolios, adoption of innovative automation solutions, increasing demand for automation technologies in developing countries, and focus on automation to enhance customer experience. Major trends in the forecast period include the integration of cloud-based technologies for automation, increased use of machine learning algorithms for efficiency, rise in virtual agents for customer service enhancement, adoption of natural language processing for improved interactions, and focus on AI-driven decision-making processes.
The increasing demand for digital transformation is expected to drive the growth of the machine learning (ML) intelligent process automation market in the coming years. Digital transformation involves integrating digital technologies into an organization’s products, processes, and strategies to improve efficiency, productivity, customer engagement, innovation, and revenue. The demand for digital transformation is primarily driven by the need for greater efficiency, agility, and competitiveness in a rapidly evolving and interconnected business environment. Machine learning intelligent process automation plays a crucial role in digital transformation by automating repetitive tasks, optimizing processes, and enabling data-driven decisions across various business functions, ultimately boosting efficiency and productivity. For example, in November 2023, the Central Digital and Data Office, a UK-based government body, reported a 19% growth in the digital and data profession between April 2022 and April 2023, meeting critical demands for digital expertise. Moreover, in December 2023, the European Commission revealed that cloud-based solution adoption in the European Union increased by 4.2 percentage points in 2023, with 45.2% of businesses purchasing cloud computing services, reflecting a significant rise compared to 2021. As a result, the growing demand for digital transformation is fueling the growth of the machine learning intelligent process automation market.
Key players in the machine learning intelligent process automation market are focusing on the development of advanced solutions, such as artificial intelligence platforms, to optimize operations and boost productivity. Artificial intelligence platforms are software solutions that facilitate the creation and management of AI applications, enhancing decision-making and efficiency. For example, in March 2024, Cognizant, a US-based global technology company, unveiled the Advanced Artificial Intelligence Lab. This lab is dedicated to advancing AI through research and development, with a goal of accelerating innovation in the field. The initiative will focus on advancing AI science, creating intellectual property, and developing AI-enablement technologies.
In January 2023, McKinsey, a renowned management consulting firm, acquired Iguazio for an undisclosed sum. This strategic acquisition enables McKinsey to significantly accelerate and scale AI deployments. By leveraging Iguazio's MLOps Platform, McKinsey aims to expand its AI capabilities and deliver industry-specific AI solutions that are more productive, expedite the journey from proof-of-concept to production, and enhance reliability. Iguazio, an Israel-based software company, specializes in providing ML intelligent automation processes through its MLOps Platform, thus complementing McKinsey's offerings and bolstering its position in the AI-driven digital transformation landscape.
Major companies operating in the machine learning (ML) intelligent process automation market are Alibaba Group Holding Limited, Accenture plc, International Business Machines Corporation (IBM), SAP SE, Tata Consultancy Services Limited (TCS), 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 (Pty) Ltd., Cinnamon Inc., AutomationEdge Technologies Inc., AntWorks Global Limited.
North America was the largest region in the machine learning (ML) intelligent process automation market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning (ML) intelligent process automation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the machine learning (ML) intelligent process automation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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.
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).
Machine learning intelligent process automation (MLIPA) refers to the utilization of machine learning algorithms and artificial intelligence (AI) technologies to automate and optimize business processes across various industries. By leveraging algorithms to analyze data, make decisions, and execute actions, MLIPA enables more efficient and intelligent automation of complex workflows and business processes.
The primary types of MLIPA can be categorized as structured and unstructured. Structured MLIPA involves the application of algorithms to automate repetitive tasks and workflows using structured data. This encompasses various components such as solutions, software tools, platforms, and services including professional services, advisory or consulting, design and implementation, training, support, and maintenance. These solutions find applications across diverse domains including information technology operations, contact center management, business process automation, application management, content management, security management, and others. MLIPA is utilized by a wide range of end-users including those in 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.
The machine learning (ML) intelligent process automation research report is one of a series of new reports that provides machine learning (ML) intelligent process automation market statistics, including the machine learning (ML) intelligent process automation industry's global market size, regional shares, competitors with a machine learning (ML) intelligent process automation market share, detailed machine learning (ML) intelligent process automation market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning (ML) intelligent process automation industry. This machine learning (ML) intelligent process automation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
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.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Machine Learning (ML) Intelligent Process Automation Market Characteristics3. Machine Learning (ML) Intelligent Process Automation Market Trends and Strategies4. Machine Learning (ML) Intelligent Process Automation Market - Macro Economic Scenario Including the Impact of Interest Rates, Inflation, Geopolitics, Covid and Recovery on the Market32. Global Machine Learning (ML) Intelligent Process Automation Market Competitive Benchmarking and Dashboard33. Key Mergers and Acquisitions in the Machine Learning (ML) Intelligent Process Automation Market34. Recent Developments in the Machine Learning (ML) Intelligent Process Automation Market
5. Global Machine Learning (ML) Intelligent Process Automation Growth Analysis and Strategic Analysis Framework
6. Machine Learning (ML) Intelligent Process Automation Market Segmentation
7. Machine Learning (ML) Intelligent Process Automation Market Regional and Country Analysis
8. Asia-Pacific Machine Learning (ML) Intelligent Process Automation Market
9. China Machine Learning (ML) Intelligent Process Automation Market
10. India Machine Learning (ML) Intelligent Process Automation Market
11. Japan Machine Learning (ML) Intelligent Process Automation Market
12. Australia Machine Learning (ML) Intelligent Process Automation Market
13. Indonesia Machine Learning (ML) Intelligent Process Automation Market
14. South Korea Machine Learning (ML) Intelligent Process Automation Market
15. Western Europe Machine Learning (ML) Intelligent Process Automation Market
16. UK Machine Learning (ML) Intelligent Process Automation Market
17. Germany Machine Learning (ML) Intelligent Process Automation Market
18. France Machine Learning (ML) Intelligent Process Automation Market
19. Italy Machine Learning (ML) Intelligent Process Automation Market
20. Spain Machine Learning (ML) Intelligent Process Automation Market
21. Eastern Europe Machine Learning (ML) Intelligent Process Automation Market
22. Russia Machine Learning (ML) Intelligent Process Automation Market
23. North America Machine Learning (ML) Intelligent Process Automation Market
24. USA Machine Learning (ML) Intelligent Process Automation Market
25. Canada Machine Learning (ML) Intelligent Process Automation Market
26. South America Machine Learning (ML) Intelligent Process Automation Market
27. Brazil Machine Learning (ML) Intelligent Process Automation Market
28. Middle East Machine Learning (ML) Intelligent Process Automation Market
29. Africa Machine Learning (ML) Intelligent Process Automation Market
30. Machine Learning (ML) Intelligent Process Automation Market Competitive Landscape and Company Profiles
31. Machine Learning (ML) Intelligent Process Automation Market Other Major and Innovative Companies
35. Machine Learning (ML) Intelligent Process Automation Market High Potential Countries, Segments and Strategies
36. Appendix
Executive Summary
Machine Learning (ML) Intelligent Process Automation Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on machine learning (ml) intelligent process automation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
- Assess the impact of key macro factors such as conflict, pandemic and recovery, inflation and interest rate environment and the 2nd Trump presidency.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market shares.
- Benchmark performance against key competitors.
- Suitable for supporting your internal and external presentations with reliable high quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for machine learning (ml) intelligent process automation? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning (ml) intelligent process automation market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Type: Structured; Unstructured2) 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 Integration2) By Unstructured: Natural Language Processing (NLP); Image Recognition; Text Analytics; Speech Recognition
Key Companies Mentioned: Alibaba Group Holding Limited; Accenture plc; International Business Machines Corporation (IBM); SAP SE; Tata Consultancy Services Limited (TCS)
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
Some of the major companies featured in this Machine Learning (ML) Intelligent Process Automation market report include:- Alibaba Group Holding Limited
- Accenture plc
- International Business Machines Corporation (IBM)
- SAP SE
- Tata Consultancy Services Limited (TCS)
- 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 (Pty) Ltd.
- Cinnamon Inc.
- AutomationEdge Technologies Inc.
- AntWorks Global Limited
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 200 |
| Published | March 2025 |
| Forecast Period | 2025 - 2029 |
| Estimated Market Value ( USD | $ 23.19 Billion |
| Forecasted Market Value ( USD | $ 45.09 Billion |
| Compound Annual Growth Rate | 18.1% |
| Regions Covered | Global |
| No. of Companies Mentioned | 23 |
