Hyperautomation Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031

The Global Hyperautomation Market is projected to experience substantial growth, expanding from USD 45.85 Billion in 2025 to USD 128.44 Billion by 2031, representing a CAGR of 18.73%. Hyperautomation involves the strategic orchestration of various technologies, such as artificial intelligence, machine learning, and robotic process automation, to detect and automate a broad spectrum of business and IT processes. The primary forces driving this market include the urgent need for operational efficiency and the imperative to lower operating costs by removing manual workflows. Additionally, organizations are increasingly deploying these frameworks to secure business agility and enable the smooth integration of legacy infrastructure with modern digital environments, establishing this as a lasting strategic shift rather than a temporary trend.

Despite these opportunities, the market faces a significant hurdle due to an acute shortage of skilled professionals qualified to design and sustain these complex, converged ecosystems. The implementation of such extensive strategies demands a level of technical expertise that is currently rare in the global workforce. According to the World Economic Forum, 63% of employers in 2025 identified skills gaps as the main barrier to effective business transformation. This scarcity of talent creates a bottleneck that restricts the scalability of automation projects and postpones the realization of return on investment for numerous enterprises.

Market Drivers

The convergence of Robotic Process Automation (RPA) with Artificial Intelligence is fundamentally transforming the Global Hyperautomation Market by empowering systems to manage unstructured data and execute complex decision-making tasks. Unlike traditional RPA, which is typically restricted to rule-based activities, the incorporation of generative AI enables automation frameworks to adapt to changing workflows, interpret natural language, and generate code, thereby broadening the range of automatable processes. This synergy is rapidly becoming the standard for modernizing enterprise operations, shifting from simple task execution to intelligent, autonomous systems. In the September 2024 'State of the Automation Professional Report 2024' by UiPath, 90% of automation professionals confirmed they are currently using or plan to use AI within the next year to improve their workflows, highlighting the industry's move toward high-value integrated solutions.

Furthermore, accelerated enterprise digital transformation and legacy modernization act as a second critical pillar, driving organizations to replace siloed architectures with unified, agile environments. Hyperautomation provides the essential orchestration layer required to bridge the gap between legacy systems and modern cloud-native applications, ensuring both business continuity and scalability. According to Camunda's '2024 State of Process Orchestration' report from January 2024, 96% of IT and business leaders asserted that automation is vital to their digital transformation efforts. As companies strive to remain competitive, this commitment is reflected in significant capital allocation; IBM reported in 2024 that 59% of enterprises already working with AI intend to accelerate and increase investment in the technology to support these strategic initiatives.

Market Challenges

A major obstacle hindering the growth of the Global Hyperautomation Market is the severe shortage of skilled professionals capable of architecting and maintaining converged technology ecosystems. Hyperautomation necessitates the seamless integration of distinct technologies, including Robotic Process Automation (RPA), artificial intelligence, and machine learning, creating a complexity that demands a workforce with advanced, cross-functional expertise. Currently, such expertise is in short supply, and without personnel who understand how to orchestrate these interoperable tools, organizations encounter significant difficulties in scaling automation from isolated tasks to enterprise-wide workflows.

This talent deficit directly restricts market expansion by delaying project timelines and elevating implementation risks. In late 2024, the Computing Technology Industry Association (CompTIA) highlighted this disparity, noting that 45% of professionals identified cybersecurity as the area with the widest skills gap, while 37% cited software development as a critical shortage. These gaps render organizations unable to securely deploy or customize hyperautomation platforms. Consequently, businesses are forced to slow their digital transformation initiatives, reducing the overall demand for automation solutions and postponing the realization of return on investment.

Market Trends

The democratization of development via Low-Code and No-Code platforms is fundamentally shifting the ownership of automation from centralized IT departments to business units. By leveraging intuitive visual interfaces, non-technical employees - often referred to as citizen developers - can rapidly build and deploy applications to solve immediate operational challenges, thereby alleviating technical backlogs. This accessibility has driven massive adoption rates across enterprises aiming to scale their digital capabilities without proportional increases in specialized engineering staff. As evidence of this expansion, Microsoft announced at the 'Power Platform Community Conference' in October 2024 that the monthly active user base for its low-code ecosystem had reached 48 million, reflecting the workforce's growing ability to contribute directly to digital transformation strategies.

Simultaneously, the widespread application of process mining for automated workflow discovery is emerging as a critical prerequisite for successful hyperautomation initiatives. Rather than automating based on subjective assumptions or static documentation, organizations are now deploying process intelligence to create data-driven maps of their actual workflows, identifying bottlenecks and inefficiencies prior to implementation. This objective visibility ensures that advanced technologies, such as autonomous agents, operate on optimized foundations rather than merely accelerating flawed procedures. According to Celonis's '2025 Process Optimization Report' from October 2024, 89% of business leaders surveyed indicated that artificial intelligence must possess a deep understanding of how business processes execute to deliver effective outcomes.

Key Players Profiled in the Hyperautomation Market

• UiPath Inc.
• Alteryx, Inc.
• SOLVEXIA HOLDINGS PTY LIMITED
• Automation Anywhere, Inc.
• Catalytic Inc.
• Appian Corporation
• Mitsubishi Electric Corporation
• OneGlobe LLC
• Allerin Tech Pvt. Ltd.
• Honeywell International Inc.

Report Scope

In this report, the Global Hyperautomation Market has been segmented into the following categories:

Hyperautomation Market, by Technical Type:

• Machine Learning
• Biometrics
• Context-Aware Computing
• Natural Learning Generation
• Chatbots
• Robotic Process Automation

Hyperautomation Market, by Deployment Type:

• Cloud
• On-Premise

Hyperautomation Market, by End User:

• BFSI
• Retail
• IT & Telecom
• Education
• Automotive
• Manufacturing
• Healthcare

Hyperautomation Market, by Region:

• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Hyperautomation Market.

Available Customization

The analyst offers customization according to your specific needs. The following customization options are available for the report:

• Detailed analysis and profiling of additional market players (up to five).

This product will be delivered within 1-3 business days.