The generative artificial intelligence (AI) in robotic process automation (rpa) market size is expected to see exponential growth in the next few years. It will grow to $2.3 billion in 2030 at a compound annual growth rate (CAGR) of 20.2%. The growth in the forecast period can be attributed to integration of generative AI with rpa, demand for cognitive automation, need for scalable automation platforms, focus on workforce productivity, expansion of hyperautomation strategies. Major trends in the forecast period include intelligent process discovery using ai, generative automation script creation, adaptive and self learning bots, conversational AI integrated rpa, end to end hyperautomation adoption.
The rising demand for automation across various industries is expected to drive the growth of generative artificial intelligence (AI) in the robotic process automation (RPA) market in the coming years. Automation involves the use of technology to carry out repetitive and routine tasks that are traditionally performed manually. The growing need for automation in multiple industries is fueled by requirements for higher efficiency, cost reduction, improved accuracy, and the capability to manage increasing workloads without proportional increases in resources. Generative artificial intelligence in robotic process automation enhances automation capabilities by enabling advanced data processing, intelligent decision-making, and adaptive interactions, thereby transforming conventional automation into more flexible and context-aware systems that can execute repetitive tasks and manage complex, data-intensive processes with greater efficiency and precision. For example, in September 2023, according to the International Federation of Robotics, a Germany-based non-profit organization, global industrial robot installations reached 553,052 units, representing a year-on-year growth rate of 5% in 2022. Therefore, the increasing demand for automation across industries is fueling the expansion of generative artificial intelligence (AI) in the robotic process automation (RPA) market.
Major companies in the generative artificial intelligence (AI) in the robotic process automation (RPA) market are concentrating on developing cloud-native intelligent automation to improve operational efficiency, streamline workflows, and support scalable and adaptable business processes through advanced AI-driven insights and capabilities. Cloud-native intelligent automation involves integrating AI and automation technologies specifically designed to maximize the advantages of cloud computing. For example, in June 2023, Automation Anywhere, a US-based technology company, introduced the Automation + Generative AI platform. This suite of generative AI features enhances its RPA solutions with three key innovations, Automation Co-Pilot + Generative AI for Business Users, Automation Co-Pilot + Generative AI for Automators, and Document Automation + Generative AI. The platform integrates generative AI capabilities, allowing users to automate tasks across various business functions through natural language interactions, thus streamlining processes and boosting efficiency.
In October 2024, Baker Tilly International Ltd., a UK-based accounting and business advisory network, acquired Alirrium LLC for an undisclosed amount. This acquisition is aimed at enhancing Baker Tilly's capabilities in integrating generative artificial intelligence (AI) with robotic process automation (RPA), which will lead to improved efficiency and innovation in automating complex business processes. By leveraging Alirrium's expertise in AI and automation technologies, Baker Tilly is positioned to better serve clients across various sectors. Alirrium LLC is a US-based technology consulting firm that specializes in AI solutions, particularly in generative AI and RPA.
Major companies operating in the generative artificial intelligence (AI) in robotic process automation (rpa) market are Microsoft Corporation, Deloitte Touche Tohmatsu Limited, International Business Machines Corporation, Oracle Corporation, SS&C Technologies Inc., Nice Ltd., FPT Corporation, Pegasystems Inc., Thoma Bravo LP, UiPath Inc., Automation Anywhere Inc., DataRobot Inc., Datamatics Global Services Limited, Nintex Topco Limited, Bizagi, HyperScience Inc., Antworks, AutomationEdge Technologies Inc., Onvisource Inc., WorkFusion Inc.
North America was the largest region in the generative artificial intelligence (AI) in robotic process automation (RPA) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in robotic process automation (rpa) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in robotic process automation (rpa) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have moderately impacted the generative artificial intelligence in rpa market by increasing the cost of cloud infrastructure hardware, servers, and networking equipment required for automation platforms. Higher import duties have raised deployment costs for large scale enterprise automation projects, particularly in North America and parts of Asia Pacific. These factors have influenced pricing strategies and slowed adoption among cost sensitive organizations. At the same time, tariffs are promoting regional cloud infrastructure development, local service delivery models, and domestic automation ecosystems, supporting long term market growth.
The generative artificial intelligence (AI) in robotic process automation (rpa) market research report is one of a series of new reports that provides generative artificial intelligence (AI) in robotic process automation (rpa) market statistics, including generative artificial intelligence (AI) in robotic process automation (rpa) industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in robotic process automation (rpa) market share, detailed generative artificial intelligence (AI) in robotic process automation (rpa) market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in robotic process automation (rpa) industry. This generative artificial intelligence (AI) in robotic process automation (rpa) 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.
Generative artificial intelligence (AI) in the context of robotic process automation (RPA) involves integrating advanced AI techniques with RPA to enhance or expand its capabilities. This integration helps in creating intelligent automation scripts, generating responses, and adapting processes by learning from data, thus making robots more flexible and efficient.
The primary components of generative AI in RPA are software and services. The software encompasses programs and applications that utilize AI techniques to create new, original content or solutions. Deployment options include cloud and on-premise solutions. These technologies are applied in various areas such as operations, marketing, customer support, and human resources, and are utilized across diverse industry verticals including banking, financial services, and insurance (BFSI), healthcare, retail, telecom and IT, manufacturing, and others.
The generative artificial intelligence (AI) in the robotic process automation (RPA) market consists of revenues earned by entities by providing document generation services, and process optimization,. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in the robotic process automation (RPA) market also includes sales of predictive analytic tools, chatbots, and virtual assistants. 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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Table of Contents
Executive Summary
Generative Artificial Intelligence (AI) In Robotic Process Automation (RPA) Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses generative artificial intelligence (AI) in robotic process automation (rpa) 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.
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Description
Where is the largest and fastest growing market for generative artificial intelligence (AI) in robotic process automation (rpa)? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence (AI) in robotic process automation (rpa) market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- 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.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Services2) By Deployment: Cloud; On-Premise
3) By Application: Operations; Marketing; Customer Support; Human Resources (HR); Other Applications
4) By Industry Vertical: Banking, Financial Services, And Insurance (BFSI); Healthcare; Retail; Telecom And Information Technology (IT); Manufacturing; Other Industries Verticals
Subsegments:
1) By Software: AI-Powered RPA Tools; Machine Learning-Integrated RPA Software; Cognitive Automation Software; Intelligent Document Processing (IDP) Software2) By Services: Consulting Services; Integration Services; Training and Support Services; Managed Services
Companies Mentioned: Microsoft Corporation; Deloitte Touche Tohmatsu Limited; International Business Machines Corporation; Oracle Corporation; SS&C Technologies Inc.; Nice Ltd.; FPT Corporation; Pegasystems Inc.; Thoma Bravo LP; UiPath Inc.; Automation Anywhere Inc.; DataRobot Inc.; Datamatics Global Services Limited; Nintex Topco Limited; Bizagi; HyperScience Inc.; Antworks; AutomationEdge Technologies Inc.; Onvisource Inc.; WorkFusion Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Generative AI in Robotic Process Automation (RPA) market report include:- Microsoft Corporation
- Deloitte Touche Tohmatsu Limited
- International Business Machines Corporation
- Oracle Corporation
- SS&C Technologies Inc.
- Nice Ltd.
- FPT Corporation
- Pegasystems Inc.
- Thoma Bravo LP
- UiPath Inc.
- Automation Anywhere Inc.
- DataRobot Inc.
- Datamatics Global Services Limited
- Nintex Topco Limited
- Bizagi
- HyperScience Inc.
- Antworks
- AutomationEdge Technologies Inc.
- Onvisource Inc.
- WorkFusion Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 1.1 Billion |
| Forecasted Market Value ( USD | $ 2.3 Billion |
| Compound Annual Growth Rate | 20.2% |
| Regions Covered | Global |
| No. of Companies Mentioned | 20 |

