• In September 2022, the launch of e.IQ 5.0 – Nile Edition turbo-charged the platform’s low-code/no-code toolkit with richer process orchestration, built-in AI/ML, extended enterprise connectors, and a multilevel taxonomy manager. Together, these upgrades let teams build large-scale, data-driven apps and automate decisions through one intuitive interface, deepening the unified data experience.

• In September 2022, UiPath and OutSystems forged a strategic alliance that fuses best-in-class enterprise automation with high-performance low-code application development. The collaboration empowers organizations to automate mission-critical workflows and launch apps faster, driving time savings, higher productivity, and richer user experiences.

In this report, the hyper automation market has been segmented by technology, Industry, Application, end-use industry, and geography.

Hyper Automation Market, Segmentation by Technology

The Hyper Automation Market has been segmented by Technology into Robotic Process Automation, Machine Learning, Chatbots, Biometrics, Natural Language Generation, and Context-aware Computing.

Robotic Process Automation (RPA) is transforming workflows by automating rule-based tasks traditionally handled by humans. Over 40% of global enterprises have adopted RPA to boost efficiency and reduce operational costs. The technology significantly minimizes human error and accelerates repetitive tasks, especially in finance and HR sectors.

Machine Learning (ML) enables systems to learn and improve from data patterns without being explicitly programmed. It underpins predictive analytics and decision-making processes across industries. Nearly 38% of businesses leveraging hyper automation incorporate ML to enhance operational agility and customer personalization.

Chatbots streamline communication by automating customer service interactions through AI-powered interfaces. Around 35% of enterprises now utilize chatbots to provide 24/7 support, reducing response times and increasing user satisfaction. Their integration with NLP enhances the accuracy and relevance of responses.

Biometric technologies such as facial recognition, fingerprint scanning, and voice authentication ensure secure and personalized user experiences. With over 30% adoption in security and fintech sectors, biometrics play a crucial role in verifying identity and preventing fraud in hyper automated systems.

Natural Language Generation (NLG) automates the creation of human-like content from structured data. Utilized by 28% of businesses in hyper automation strategies, NLG supports real-time report generation, personalized content delivery, and intelligent communication across platforms.

Context-aware Computing leverages environmental and situational data to adapt system behavior accordingly. About 26% of hyper automation deployments use this technology to provide dynamic and tailored user experiences. It enhances decision-making by understanding user context and intent.

Hyper Automation Market, Segmentation by Industry

The Hyper Automation Market has been segmented by Industry into BFSI, Government, IT and Telecom, Healthcare, Energy and Utilities, Manufacturing, and Others.

The BFSI sector is a major adopter of hyper automation, focusing on streamlining financial operations and enhancing customer experiences. Over 42% of financial institutions have deployed automated workflows for risk management, compliance, and fraud detection. Automation also reduces processing time in loans and claims handling.

Government agencies are leveraging hyper automation to improve public service delivery and reduce administrative workload. Approximately 33% of government bodies utilize automated systems for data management, citizen engagement, and workflow digitization. This results in increased transparency and operational efficiency.

The IT and Telecom sector uses hyper automation to optimize network operations, enhance customer support, and manage complex IT infrastructures. Nearly 40% of firms in this space have adopted automation to enable self-healing systems and improve incident resolution speed.

Healthcare organizations are implementing hyper automation for clinical workflows, patient data processing, and administrative tasks. Around 36% of hospitals and clinics have integrated automation to ensure faster diagnoses, accurate billing, and efficient patient engagement.

The Energy and Utilities industry benefits from hyper automation in asset monitoring, predictive maintenance, and grid management. Roughly 31% of companies in this sector employ automation to reduce downtime, enhance operational safety, and improve energy efficiency.

Manufacturing is one of the leading sectors in hyper automation adoption, especially in production line automation and supply chain optimization. Over 45% of manufacturers use automated technologies to increase output precision, minimize manual errors, and streamline inventory management.

Hyper Automation Market, Segmentation by Application

The Hyper Automation Market has been segmented by Application into Virtualization and VDI, Data Center Consolidation, Remote Offices / Branch Offices (ROBO), Backup and DR, and Others.

Virtualization and VDI are integral to enabling remote access and resource optimization in hyper automated environments. Approximately 39% of enterprises utilize these technologies to improve scalability, enhance desktop management, and support virtual workspaces with better security and cost control.

Data Center Consolidation streamlines infrastructure by reducing redundant systems and improving resource utilization. Around 35% of companies are adopting this approach within their hyper automation strategy to boost efficiency, reduce IT overhead, and ensure centralized control of critical assets.

Remote Offices and Branch Offices (ROBO) benefit from hyper automation through centralized management and automated provisioning. Nearly 32% of enterprises deploy automation tools to ensure consistent IT policies, streamline remote operations, and reduce on-site maintenance.

Backup and Disaster Recovery (DR) automation is essential for ensuring business continuity and data protection. About 37% of organizations have integrated automated backup scheduling and recovery testing to reduce downtime risks and enhance resilience against cyber threats and system failures.

Hyper Automation Market, Segmentation by End-use Industry

The Hyper Automation Market has been segmented by End-use Industry into Manufacturing, Automotive, Healthcare, BFSI, Retail, and Others.

Manufacturing is a dominant sector in hyper automation adoption, with over 46% of manufacturers deploying automated systems for assembly lines, quality control, and supply chain optimization. These technologies help reduce downtime, increase precision, and enhance production efficiency.

The automotive industry leverages hyper automation for robotic assembly, predictive maintenance, and logistics automation. Nearly 40% of automotive companies have embraced these technologies to improve vehicle production cycles and boost cost-efficiency across operations.

Healthcare facilities are rapidly adopting hyper automation to streamline patient data management, clinical decision-making, and medical billing. Approximately 38% of healthcare providers use automated systems to enhance accuracy, reduce manual errors, and deliver timely care.

The BFSI sector continues to drive hyper automation in areas such as fraud detection, loan processing, and compliance reporting. Around 43% of financial institutions have integrated automation tools to reduce turnaround time and enhance customer service delivery.

Retail companies are adopting hyper automation to optimize inventory management, personalized marketing, and checkout automation. Nearly 36% of retail businesses use these solutions to improve customer experience and support omnichannel operations.

Hyper Automation Market, Segmentation by Geography

In this report, the Hyper Automation Market has been segmented by Geography into five regions; North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

Hyper Automation Market Share (%), by Geographical Region

North America leads the hyper automation market, with approximately 38% market share, driven by early adoption of advanced technologies and strong investments in AI and RPA. The region is characterized by a high concentration of tech-savvy enterprises and a mature IT infrastructure that supports rapid implementation.

Europe accounts for nearly 27% of the hyper automation market, propelled by growing adoption across the manufacturing, automotive, and healthcare sectors. The region is witnessing a surge in digital transformation initiatives and compliance-driven automation solutions.

Asia Pacific is emerging as the fastest-growing region, contributing around 22% to the global market. Countries like China, India, and Japan are rapidly adopting hyper automation to boost operational efficiency, especially in manufacturing and banking sectors.

The Middle East and Africa region is gradually embracing hyper automation, accounting for nearly 7% of the market. Increased focus on smart city development, digital transformation, and public sector automation is driving growth in this region.

Latin America represents around 6% of the hyper automation market, with rising adoption in retail, financial services, and government digitization projects. Economic modernization efforts are encouraging investment in AI-driven automation solutions.

This report provides an in depth analysis of various factors that impact the dynamics of Hyper Automation Market. These factors include; Market Drivers, Restraints and Opportunities Analysis.

Drivers, Restraints and Opportunity Analysis

Drivers:

• Accelerated Digital Transformation Across Industries
• Integration of AI, ML, and RPA Technologies

• Demand for Enhanced Operational Efficiency - Demand for enhanced operational efficiency is a critical driver propelling the hyper automation market, as businesses seek to streamline workflows, reduce manual intervention, and optimize resource utilization. Hyper automation integrates technologies like robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML) to automate complex business processes end-to-end. This allows organizations to accelerate task execution, minimize errors, and lower operational costs while maintaining high accuracy and consistency.

  As enterprises face rising competitive pressure and growing customer expectations, the ability to deliver services faster and more efficiently becomes a key differentiator. Hyper automation enables scalable automation across departments, including finance, HR, customer service, and supply chain management, allowing companies to improve productivity and agility. The ongoing push toward digital transformation across industries continues to fuel this demand, making hyper automation an essential component of future-ready business strategies.

Restraints:

• High Implementation and Maintenance Costs
• Complexity in Integrating with Legacy Systems

• Shortage of Skilled Professionals - Shortage of skilled professionals poses a substantial restraint to the hyper automation market, as the successful deployment of automation solutions requires expertise in AI, RPA, machine learning, and system integration. Many organizations face difficulties in sourcing and retaining talent capable of designing, implementing, and managing complex hyper automation frameworks. This talent gap often leads to project delays, increased implementation costs, and reduced efficiency in automation outcomes.

  As the technology landscape evolves rapidly, the demand for specialists who can handle cross-functional tools and architectures has outpaced the availability of qualified professionals. Smaller enterprises and organizations in emerging markets are particularly impacted due to limited access to advanced training resources. Without a skilled workforce, companies risk underutilizing automation capabilities, which can hinder scalability and long-term return on investment. Addressing this skills gap is crucial to unlocking the full potential of hyper automation across industries.

Opportunities:

• Expansion into Emerging Markets
• Development of Industry-Specific Automation Solutions

• Advancements in Low-Code/No-Code Platforms - Advancements in low-code/no-code platforms present a major opportunity in the hyper automation market by making complex automation tools more accessible to non-technical users. These platforms enable business users to design, build, and deploy automation workflows without the need for extensive programming skills. This democratization of automation allows organizations to expand their development capacity beyond IT teams and accelerate innovation across departments.

  Low-code/no-code tools integrate easily with hyper automation technologies such as RPA, AI, and ML, allowing for seamless orchestration of processes and real-time decision-making. This synergy empowers enterprises to rapidly prototype and scale automation initiatives, reducing time-to-value and enhancing adaptability to changing business conditions. It also enables organizations to address automation backlogs more effectively by distributing development responsibilities across teams.

  Moreover, the adoption of low-code/no-code platforms supports agile business transformation by fostering collaboration between business units and IT departments. These platforms provide intuitive visual interfaces, drag-and-drop functionality, and prebuilt templates that reduce development cycles and minimize errors. As a result, companies can continuously refine and optimize their automation strategies without relying heavily on scarce technical resources.

  With digital transformation accelerating globally, organizations are seeking faster and more efficient ways to automate operations. The rise of low-code/no-code platforms complements this shift by enabling rapid deployment of intelligent automation at scale. As these platforms evolve, their role in driving hyper automation adoption will become increasingly pivotal, particularly for small and mid-sized enterprises aiming to remain competitive without significant technical investment.