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Hyperautomation Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The hyperautomation market has experienced substantial growth in recent times. Its value is projected to rise from $64.78 billion in 2025 to $75.54 billion in 2026, achieving a compound annual growth rate (CAGR) of 16.6%. Historically, this expansion has been fueled by factors such as the increasing adoption of robotic process automation, a heightened demand for operational efficiency, widespread digital transformation initiatives, efforts to reduce manual errors, and the growing uptake of enterprise software.
The hyperautomation market is projected to experience substantial growth in the upcoming years. Its size is predicted to reach $140.73 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 16.8%. This anticipated growth during the forecast period is primarily driven by factors such as the proliferation of AI-powered automation, the implementation of cloud-based automation, the rising complexity of processes, the necessity for real-time decision-making automation, and the need for scalability across various enterprises. Key trends expected during this period encompass end-to-end process automation, intelligent orchestration of workflows, the integration of automation across entire enterprises, automation for data-driven decisions, and the rise of low-code and no-code automation platforms.
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Hyperautomation Market Demand Drivers: What Is Fueling Industry Growth?
The expanding deployment of automation is anticipated to stimulate the growth of the hyperautomation market in the future. Automation refers to the development and utilization of technologies for producing and delivering goods and services with minimal human involvement. Automation utilizes hyperautomation to synergistically employ advanced technologies such as artificial intelligence, machine learning, and robotic process automation. This empowers organizations to optimize complex workflows, boost efficiency, and achieve digital transformation by automating routine activities and sophisticated, knowledge-based processes. For example, in January 2024, as per Kissflow Inc., a US-based software company, the volume of automated jobs is rising by 14% yearly, and by 2024, 69% of managerial work will be automated. Hence, the growing implementation of automation is fueling the expansion of the hyperautomation market.
#Hyperautomation Market Segment Landscape And Growth Potential
The hyperautomation market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Technology: Robotic Process Automation, Machine Learning, Biometrics, Chatbots, Context Aware Computing, Natural Language Generation, Computer Vision
3) By Deployment: On-Premise, Cloud
4) By Function: Marketing And Sales, Finance And Accounting, Human Resources, Operations And Supply Chain, Information Technology
5) By End Use: Manufacturing, Automotive, Banking, Financial Services And Insurance (BFSI), Healthcare, IT And Telecommunication, Retail, Transportation And Logistics, Other End Users
Subsegments:
1) By Hardware: Robotic Process Automation (RPA) Devices, IoT Devices, Edge Computing Devices
2) By Software: RPA Software, Workflow Automation Software, Artificial Intelligence (AI) And Machine Learning (ML) Software, Analytics And Business Intelligence Software
3) By Services: Consulting Services, Implementation Services, Support And Maintenance Services, Training And Education Services
Hyperautomation Market Transformation Trends: Which Innovations Are Driving Change?
Leading companies in the hyperautomation market are prioritizing the development of sophisticated solutions, such as embedded iPaaS platforms, to streamline integration processes and enhance workflow automation. These Embedded iPaaS (Integration Platform as a Service) platforms empower organizations to seamlessly build, manage, and scale integrations across multiple applications, leading to faster automation and improved operational efficiency. For example, in August 2023, Prismatic Software, Inc., a US-based embedded integration-platform company, unveiled Embedded Workflow Builder. This next-generation embedded iPaaS capability is specifically designed to assist B2B SaaS companies in easily constructing and overseeing integrations. The solution allows customers to self-service their integrations and extend reusable connectors across various applications and workflows, thereby supporting greater automation, flexibility, and scalability within enterprise systems.
Hyperautomation Market Competitive Landscape: Who Are The Leading Companies?
Major companies operating in the hyperautomation market are Amazon.com Inc.; Alphabet Inc.; Microsoft Corporation; Intel Corporation ; International Business Machines Corporation; Deloitte Touche Tohmatsu Limited; Ernst & Young Global Limited; Oracle Corporation; Mitsubishi Electric Corporation; SAP SE; Tata Consultancy Services Limited; Infosys Limited; Baidu Inc.; Wipro Ltd.; Genpact Limited; SAS Institute Inc.; Nutanix Inc.; Cyient Ltd.; Automation Anywhere Inc.; Cloudera Inc.; BlackSwan Technologies Inc.; Gorilla Technology Group; OneGlobe LLC; Tact.AI Technologies Inc.; ClearBlade Inc.; Gigaforce Inc.; SolveXia Pty Ltd.
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Hyperautomation Market Global Footprint: Which Region Holds Market Leadership?
North America was the largest region in the hyperautomation market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the 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.