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RPA And Hyperautomation Market Size Forecast: How Large Could The Market Become By 2030?
The rpa and hyperautomation market has experienced substantial growth in recent years. Looking ahead, it is forecast to expand from $16.73 billion in 2025 to $20.46 billion in 2026, achieving a compound annual growth rate (CAGR) of 22.3%. This historical development can be primarily attributed to several factors, including the increasing number of enterprise digital transformation initiatives, a growing demand for operational efficiency, the adoption of rpa to handle repetitive tasks, the widening availability of automation software platforms, and the growth of shared service centers.
The rpa and hyperautomation market size is projected to experience substantial growth in the upcoming years. It is anticipated to expand to $45.57 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 22.2%. This expected expansion over the forecast period stems from factors such as a heightened demand for intelligent automation solutions, increasing investments in AI-driven business processes, the wider application of hyperautomation across enterprise functions, a growing emphasis on scalable automation architectures, and the rising adoption of low-code automation platforms. Noteworthy trends during this period involve the increasing uptake of end-to-end hyperautomation platforms, a surge in the deployment of AI-powered RPA solutions, deeper integration of process mining tools, the expansion of cloud-based automation frameworks, and a more pronounced focus on intelligent workflow orchestration.
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#RPA And Hyperautomation Market Growth Factors: Which Forces Are Supporting Market Expansion?
The expanding role of robotics across different sectors drives the expansion of the RPA and Hyper automation markets. A robot functions as an automated device capable of executing particular tasks with speed and precision, requiring minimal human interaction. Hyper automation facilitates the automation of any repetitive task performed by business users, achieved through integrating robotic process automation with artificial intelligence and enhancing the role of robotics in various industries. As an illustration, in April 2024, data from The International Federation of Robotics, a Germany-based Organization, showed that within the U.S. automotive industry, automotive segment sales rose by 1%, leading to an unprecedented installation of 14,678 robots in 2023. This growth came after a significant 47% rise in installations in 2022, reaching a total of 14,472 units. Consequently, the escalating importance of robotics across diverse industries is anticipated to stimulate the growth of the RPA and hyper-automation market.
RPA And Hyperautomation Market Segmentation Trends And Revenue Drivers
The rpa and hyperautomation market covered in this report is segmented –
1) By Component: Solution, Services
2) By Deployment Mode: On-Premise, Cloud
3) By Business Function: Sales And Marketing, Finance And Accounting, Human Resources, Supply Chain And Operations, Information Technology (IT)
Subsegments:
1) By Solution: Software Licenses, Development Tools, Integration Tools
2) By Services: Consulting Services, Implementation Services, Support And Maintenance Services
RPA And Hyperautomation Market Growth Trends Influencing Competitive Dynamics
Leading companies in the RPA and hyperautomation market are prioritizing RPA skill development to ensure their workforce possesses the necessary expertise for effective implementation and management of automation solutions. The lab will investigate the integration of RPA with artificial intelligence (AI), thereby enhancing the capabilities of these automation solutions. This combination facilitates the automation of more intricate tasks, such as data analysis and decision-making processes. For instance, in October 2023, the Ministry of Electronics and Information Technology, an Indian executive agency, launched the Robotic Process Automation (RPA) Lab at NIELIT Gorakhpur. This facility will offer practical training sessions for students and professionals, enabling them to develop skills in creating and managing software bots for automating repetitive tasks. This practical methodology is vital for grasping the real-world applications of RPA technologies. Furnished with contemporary tools and software, the lab will provide an environment conducive to experimentation and advancement in RPA technologies.
#RPA And Hyperautomation Market Industry Leaders: Which Organizations Are Driving Competition?
Major companies operating in the rpa and hyperautomation market are IBM Corporation; Microsoft Corporation; SAP SE; Alteryx Inc.; Nice Ltd.; Pegasystems Inc.; Appian Corporation; UiPath Inc.; HelpSystems LLC; Automation Anywhere; ProcessMaker; SolveXia; Blue Prism Group Plc.; Celonis; Laserfiche; Tata Consultancy Services; Catalytic Inc; OneGlobe LLC; Honeywell InternationalInc.; NTTData; Accenture; Capgemini; Cognizant; Infosys; Larsen & Toubro Infotech; Tech Mahindra
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RPA And Hyperautomation Market Regional Distribution: Which Areas Drive Market Expansion?
North America was the largest region in the RPA and hyperautomation market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the rpa and hyperautomation market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
