The artificial intelligence ai in robotic process automation rpa market has seen considerable growth due to a variety of factors.
• The size of the market for artificial intelligence (AI) in robotic process automation (RPA) has seen a quick expansion in the recent past. Expected to grow from a size of $4.09 billion in 2024 to an estimated size of $4.79 billion in 2025, it is pegged at a compound annual growth rate (CAGR) of 17.1%.
Factors contributing to the growth during the historic period include escalated demand for process automation, more investments in industrial robots, enhanced productivity and efficiency, a rise in adopting AI and cloud-based solutions, and an increase in demand from industries that use these end products.
The artificial intelligence ai in robotic process automation rpa market is expected to maintain its strong growth trajectory in upcoming years.
• The market size for Artificial Intelligence (AI) in Robotic Process Automation (RPA) is set for substantial expansion in the coming years, potentially reaching $8.89 billion by 2029 with a Compound Annual Growth Rate (CAGR) of 16.7%.
This predicted growth during the forecast period is mainly due to a surging demand for business process automation, the escalating requirements from end-user industries, an intensified focus on digital transformation, endeavors to enhance customer experience, and the increasing enlightenment among small and medium-sized enterprises (SMEs). Contributing trends throughout the forecast period encompass AI technological advancements, the growing acceptance and evolution of RPA-enabled self-learning, the augmentation of cognitive skills, and the incorporation of machine learning (ML).
Advancements in artificial intelligence in the robotic process automation market are expected to be driven by the rising popularity of robotics in industrial applications. Robotic devices in these settings are essentially automated machines designed to perform tasks traditionally performed by people, particularly in manufacturing and similar industrial contexts. The appeal of using robotics in these environments hinges on a number of key aspects, such as trends related to Industry 4.0 and automation, performance refinements, enhancements in safety, cost savings, and the possibility of broadening their applications. By implementing artificial intelligence into robotic process automation, robots' functionality, efficiency, and adaptability within industrial settings are enhanced, allowing them to carry out a more diverse range of functions. To illustrate, the International Federation of Robotics, a non-profit organization based in Germany, reported in May 2023 that industrial robot installations in manufacturing surged by 12% in 2022, totaling 41,624 units. The automotive industry, dominated by American, Canadian, and Mexican businesses, led the pack with 20,391 installed units, marking a 30% increase from 2021. Consequently, the surging popularity of robots in industrial applications stimulates the growth of artificial intelligence within the robotic process automation industry.
The artificial intelligence (AI) in robotic process automation (rpa) market covered in this report is segmented –
1) By Type: Software, Service
2) By Deployment Mode: Cloud-Based, On-Premise
3) By Organization Size: Large Enterprises, Small And Medium Enterprises
4) By Application: Banking, Financial Services, And Insurance (BFSI), Pharma And Healthcare, Retail And Consumer Goods, Information Technology (IT) And Telecom, Communication, Media, And Education, Other Applications
Subsegments:
1) By Software: AI-Powered RPA Platforms, Intelligent Document Processing (IDP) Software, Natural Language Processing (NLP) Tools For RPA, Machine Learning-Based Process Automation Tools, Cognitive Automation Software, AI-Driven Analytics And Reporting Tools For RPA, Workflow Management Software With AI Capabilities
2) By Services: RPA Consulting And Strategy Development, AI System Integration And Implementation Services For RPA, Training And Support Services For RPA Tools, Process Assessment And Optimization Services, Managed Services For RPA Operations, Maintenance And Technical Support For RPA Solutions, Change Management And User Adoption Services
Leading enterprises in the domain of artificial intelligence for robotic process automation are placing their emphasis on technological breakthroughs like next-gen automation cloud. This helps to upgrade efficiency, refine accuracy and deliver more sophisticated, scalable solutions for intricate business operations. The next-gen automation cloud in context of AI in RPA fundamentally implies a cloud-encoded platform that utilizes superior AI technology to magnify the potential of conventional RPA. For instance, UiPath, an American software enterprise, introduced the UiPath AI Center in May 2022, which was a next-gen automation cloud. This platform blends AI models with RPA sequences, furthermore permitting users to install machine learning models straight into their automation procedures. Its distinctive features comprise deployment of models without excessive coding, amalgamation with established RPA tools and support for tailored AI models.
Major companies operating in the artificial intelligence (AI) in robotic process automation (RPA) market are:
• Deloitte Touche Tohmatsu Limited
• Accenture PLC
• International Business Machine Corporation (IBM)
• SAP SE
• Genpact Ltd.
• Cloud Software Group Inc.
• Nice Ltd.
• Pegasystems Inc.
• UiPath Inc.
• Celonis SE
• BlackLine Inc.
• Zensar Technologies Limited
• Appian Corporation
• Tungsten Automation Corporation
• Automation Anywhere Inc.
• EdgeVerve Systems Limited
• Nintex UK Ltd.
• AntWorks Pte. Ltd.
• AutomationEdge Technologies Inc.
• WorkFusion Inc.
• Blue Prism Group PLC
North America was the largest region in the artificial intelligence (AI) in robotic process automation (RPA) market in 2024. The regions covered in the artificial intelligence (AI) in robotic process automation (RPA) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.