Hyperautomation Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Technical Type (Machine Learning, Biometrics, Context-Aware Computing, Natural Learning Generation, Chatbots, Robotic Process Automation), By Deployment Type (Cloud, On-Premise), By End User (BFSI, Retail, IT & Telecom, Education, Automotive, Manufacturing, Healthcare), By Region, Competition 2021-2031F

Forecast Period	2027-2031
Market Size (2025)	USD 45.85 Billion
CAGR (2026-2031)	18.73%
Fastest Growing Segment	Cloud
Largest Market	North America
Market Size (2031)	USD 128.44 Billion

Market Overview

The Global Hyperautomation Market will grow from USD 45.85 Billion in 2025 to USD 128.44 Billion by 2031 at a 18.73% CAGR. Hyperautomation refers to the strategic orchestration of multiple technologies, including artificial intelligence, machine learning, and robotic process automation, to identify and automate as many business and IT processes as possible. The primary drivers supporting the growth of the Global Hyperautomation Market include the critical need for operational efficiency and the imperative to reduce operating costs through the elimination of manual workflows. Furthermore, organizations are increasingly adopting these frameworks to ensure business agility and facilitate the seamless integration of legacy infrastructure with modern digital environments, rather than merely following temporary technological fashions.

However, a significant challenge impeding the market's expansion is the acute shortage of skilled professionals capable of designing and maintaining these complex, converged ecosystems. The implementation of such comprehensive strategies requires a depth of technical expertise that is currently scarce in the global labor pool. According to the World Economic Forum, in 2025, 63% of employers identified skills gaps as the primary barrier preventing effective business transformation. This talent deficit creates a bottleneck that limits the scalability of automation projects and delays the realization of return on investment for many enterprises.

Key Market Drivers

The Convergence of Robotic Process Automation (RPA) with Artificial Intelligence is fundamentally reshaping the Global Hyperautomation Market by enabling systems to handle unstructured data and complex decision-making. Unlike traditional RPA, which is often limited to rule-based tasks, the integration of generative AI allows automation frameworks to adapt to dynamic workflows, understand natural language, and generate code, thereby expanding the scope of automatable processes. This technological synergy is rapidly becoming the standard for modernizing enterprise operations, moving beyond simple task execution to intelligent, autonomous systems. According to UiPath, September 2024, in the 'State of the Automation Professional Report 2024', 90% of automation professionals stated they are using or planning to use AI within the coming year to enhance their workflows. This trend underscores the industry's pivot toward integrated intelligent automation solutions that drive higher value.

Accelerated Enterprise Digital Transformation and Legacy Modernization serves as the second critical pillar, propelling organizations to dismantle siloed architectures in favor of unified, agile environments. Hyperautomation provides the necessary orchestration layer to bridge the gap between legacy systems and modern cloud-native applications, ensuring business continuity and scalability. According to Camunda, January 2024, in the '2024 State of Process Orchestration' report, 96% of IT and business leaders affirmed that automation is vital to their digital transformation efforts. As companies race to remain competitive, the commitment to these technologies translates into significant capital allocation across the market. According to IBM, in 2024, 59% of enterprises already working with AI intended to accelerate and increase investment in the technology to support these strategic initiatives.

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Key Market Challenges

A significant challenge impeding the expansion of the Global Hyperautomation Market is the acute shortage of skilled professionals capable of architecting and maintaining converged technology ecosystems. Hyperautomation requires the seamless integration of distinct technologies such as Robotic Process Automation (RPA), artificial intelligence, and machine learning. This complexity demands a workforce with advanced, cross-functional expertise that is currently in short supply. Without personnel who understand how to orchestrate these interoperable tools, organizations face significant difficulties in scaling automation from isolated tasks to enterprise-wide workflows.

This talent deficit directly restricts market growth by delaying project timelines and increasing implementation risks. According to the Computing Technology Industry Association (CompTIA), in late 2024, the industry outlook 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.

Key Market Trends

Democratization of Development via Low-Code and No-Code Platforms is fundamentally shifting automation ownership from centralized IT departments to business units. By utilizing intuitive visual interfaces, non-technical employees, often termed citizen developers, can rapidly build and deploy applications to address immediate operational needs, thereby alleviating technical backlogs. This accessibility has driven massive adoption rates across enterprises seeking to scale their digital capabilities without proportional increases in specialized engineering staff. According to Microsoft, October 2024, at the 'Power Platform Community Conference', the monthly active user base for its low-code ecosystem reached 48 million, reflecting a rapid expansion in the workforce's ability to directly contribute to digital transformation strategies.

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, October 2024, in the '2025 Process Optimization Report', 89% of business leaders surveyed indicated that artificial intelligence must possess a deep understanding of how business processes execute to deliver effective outcomes.

Segmental Insights

The Cloud segment is currently positioning itself as the fastest-growing category within the Global Hyperautomation Market. This rapid expansion is driven by the increasing demand for scalable infrastructure that minimizes the capital investment required for on-premise hardware. Organizations are prioritizing cloud deployment to facilitate seamless remote access and the integration of diverse automation technologies across geographically dispersed teams. Additionally, the flexibility of cloud-based platforms allows businesses to manage large volumes of data efficiently, supporting the continuous optimization of automated workflows and ensuring operational agility in a competitive business environment.

Regional Insights

North America maintains a leading position in the global hyperautomation market, driven by the early and widespread integration of robotic process automation and artificial intelligence across enterprises. The region benefits from a highly developed IT infrastructure and substantial corporate investment in digital transformation strategies. Furthermore, the presence of clear technological frameworks, such as the risk management guidelines provided by the National Institute of Standards and Technology, encourages the secure adoption of automated systems. This robust ecosystem allows North American organizations to scale operations efficiently, securing the region's dominance in market revenue.

Recent Developments

• In December 2024, Appian unveiled the latest version of its process automation platform, introducing a high-performance capability known as "Autoscale." This new feature enabled organizations to handle massive workloads, scaling up to six million process instances per hour for tasks such as real-time transaction monitoring and claims validation. The update also included enhanced enterprise AI tools, such as an AI Copilot for data fabric, which streamlined data exploration and provided real-time insights. these advancements were aimed at supporting large-scale hyperautomation initiatives, allowing enterprises to maintain operational resilience and efficiency while managing high-volume, complex business processes.
• In October 2024, UiPath announced a major strategic evolution toward "agentic automation," a framework combining AI agents, robots, and people into a single intelligent ecosystem. As part of this initiative, the company made "Autopilot for everyone" generally available, providing a cross-platform, generative AI conversational tool that enables employees to automate workflows and analyze documents regardless of technical skill. The release also featured a new builder tool that allows developers to design specialized agents for handling complex, dynamic business scenarios. This launch focused on delivering end-to-end process transformation and maximizing productivity through the seamless integration of agentic AI and enterprise automation.
• In September 2024, Salesforce launched "Agentforce," a comprehensive suite of autonomous AI agents capable of analyzing data, making decisions, and executing tasks without human intervention. These agents were engineered to augment employee capabilities across sales, service, marketing, and commerce functions by independently resolving customer inquiries and qualifying sales leads. The company also introduced a low-code agent builder, allowing organizations to customize out-of-the-box agents or create new digital workers tailored to specific business roles. This innovation marked a significant advancement in the hyperautomation market, moving beyond traditional chatbots to deliver a scalable, intelligent digital workforce.
• In June 2024, Automation Anywhere expanded its strategic collaboration with a major technology corporation to integrate Azure OpenAI Service into its newly launched AI + Automation Enterprise System. This development was designed to help enterprises automate complex, end-to-end processes across various business applications by deploying intelligent AI agents. The integration enabled customers to build specialized agents for intricate use cases using advanced generative AI models, thereby enhancing the processing of unstructured documents. This partnership aimed to accelerate the adoption of hyperautomation by combining secure, scalable automation capabilities with powerful large language models to drive operational efficiency.

Key Market Players

• 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.

By Technical Type	By Deployment Type	By End User	By Region
Machine Learning Biometrics Context-Aware Computing Natural Learning Generation Chatbots Robotic Process Automation	Cloud On-Premise	BFSI Retail IT & Telecom Education Automotive Manufacturing Healthcare	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global Hyperautomation Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

• 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
• United States
• Canada
• Mexico
• Europe
• France
• United Kingdom
• Italy
• Germany
• Spain
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• South America
• Brazil
• Argentina
• Colombia
• Middle East & Africa
• South Africa
• Saudi Arabia
• UAE