하이퍼자동화 시장 예측(-2034년) : 툴 유형별, 컴포넌트, 기술, 용도, 최종사용자 및 지역별 세계 분석

According to Stratistics MRC, the Global Hyperautomation Market is accounted for $62.8 billion in 2026 and is expected to reach $110.5 billion by 2034 growing at a CAGR of 7.3% during the forecast period. Hyperautomation refers to the disciplined, business-driven approach to rapidly identifying, vetting, and automating as many business and IT processes as possible through the orchestrated application of advanced technologies including robotic process automation, intelligent document processing, process mining, low-code development platforms, AI and machine learning, integration platform as a service, and business rule management systems working in combination to create end-to-end automated digital workflows that minimize human intervention across complex enterprise operations.

Market Dynamics:

Driver:

Digital Transformation Acceleration

Enterprise digital transformation mandates are driving hyperautomation platform adoption as organizations pursue end-to-end process digitalization strategies that require coordinated deployment of multiple complementary automation technologies capable of handling the full spectrum of structured and unstructured process inputs across front-office, back-office, and middle-office operations. C-suite automation investment commitments driven by competitive efficiency pressure and board-level digital strategy mandates are generating sustained hyperautomation platform procurement growth across all major industry verticals.

Restraint:

Platform Integration Complexity

Hyperautomation platform integration complexity arising from the need to coordinate multiple disparate automation technology layers including RPA, process mining, AI, and iPaaS components from different vendors into coherent end-to-end automation architectures creates substantial implementation risk and cost overrun exposure that constrains enterprise adoption ambition. Skills gaps in hyperautomation architecture design and multi-technology orchestration engineering limit the pool of qualified implementation partners and internal technical resources available to support complex deployments.

Opportunity:

Financial Services Automation

Financial services sector hyperautomation adoption represents the highest-value enterprise market segment as banks, insurance companies, and capital markets firms deploy comprehensive automation orchestration platforms to simultaneously automate customer onboarding, regulatory compliance reporting, claims processing, loan origination, and treasury operations across interconnected core banking and insurance system environments that collectively represent the industry's largest administrative cost bases.

Threat:

Agentic AI Platform Competition

Emerging agentic AI platforms capable of autonomously orchestrating multi-step business processes through large language model-driven planning and execution represent a disruptive competitive threat to established hyperautomation platform architectures that depend on explicit process definition and rule-based automation orchestration, as AI agent systems potentially offer more flexible and less engineering-intensive approaches to end-to-end enterprise process automation at competitive total cost of ownership.

Covid-19 Impact:

COVID-19 catalyzed enterprise hyperautomation adoption as the pandemic simultaneously exposed manual process fragility and created urgent demand for scalable digital workflow execution during unprecedented operational disruptions. Remote work transitions requiring rapid digital process replacement of paper-based and in-person workflows generated compressed implementation timelines that established automation infrastructure foundations for subsequent hyperautomation expansion. Post-pandemic automation maturity investments continue expanding hyperautomation scope across enterprise process portfolios.

The AI & machine learning automation tools segment is expected to be the largest during the forecast period

The AI & machine learning automation tools segment is expected to account for the largest market share during the forecast period, due to enterprise recognition that intelligent automation capabilities representing the core differentiating value proposition of hyperautomation versus traditional RPA are primarily delivered through AI and machine learning components enabling unstructured data processing, autonomous decision-making, and continuous process optimization that transform hyperautomation platforms from simple bot orchestration systems into enterprise intelligence layers.

The hardware segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the hardware segment is predicted to witness the highest growth rate, driven by substantial enterprise infrastructure investment in AI computing hardware supporting large-scale hyperautomation deployments processing enterprise-wide process automation workloads requiring dedicated GPU cluster capacity for machine learning model training, real-time inference, and computer vision document processing at volumes that exceed general-purpose cloud computing cost efficiency thresholds for high-frequency automation use cases.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to United States enterprises representing the world's most advanced hyperautomation adopters with the highest per-enterprise automation investment levels across financial services, healthcare, and technology sectors, combined with leading hyperautomation platform vendors including Microsoft, ServiceNow, and UiPath generating substantial North American license and services revenue from established enterprise customer relationships.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid enterprise digital transformation investment across India, China, Australia, and Japan generating strong hyperautomation platform demand, combined with growing business process outsourcing sector automation adoption in India and Southeast Asia where labor arbitrage advantages are being supplemented with automation efficiency gains to maintain competitive service delivery economics.

Key players in the market

Some of the key players in Hyperautomation Market include Microsoft Corporation, IBM Corporation, Oracle Corporation, SAP SE, UiPath Inc., Automation Anywhere Inc., Blue Prism Group plc, ServiceNow Inc., Appian Corporation, Pegasystems Inc., WorkFusion Inc., NICE Ltd., Kofax Inc., Celonis SE, ABB Ltd., Tata Consultancy Services (TCS), and Accenture plc.

Key Developments:

In March 2026, ServiceNow Inc. launched Now Assist AI-powered workflow automation platform updates enabling autonomous end-to-end IT service management and enterprise process automation without developer configuration requirements.

In January 2026, Microsoft Corporation expanded its Power Platform hyperautomation suite with Copilot-driven automation builder enabling citizen developers to create complex multi-system automation flows using conversational natural language instructions.

In October 2025, Accenture plc announced a major hyperautomation transformation program with a global insurance carrier deploying coordinated RPA, AI document processing, and process mining across claims and underwriting operations.

Tool Types Covered:

• Robotic Process Automation (RPA) Tools
• Intelligent Document Processing (IDP) Tools
• Process Mining & Task Mining Tools
• Low-Code/No-Code Automation Platforms
• AI & Machine Learning Automation Tools
• Integration Platform as a Service (iPaaS)
• Business Rule Management Systems (BRMS)

Components Covered:

• Hardware
• Software & Platforms
• Services

Technologies Covered:

• Artificial Intelligence & Machine Learning
• Natural Language Processing (NLP)
• Computer Vision & OCR
• Process Mining & Analytics
• Digital Twin of Organization (DTO)

Applications Covered:

• Business Process Automation
• IT Process Automation
• Document & Content Automation
• Customer Experience Automation
• Compliance & Risk Management Automation
• Supply Chain Automation

End Users Covered:

• BFSI
• Healthcare
• Retail & E-commerce
• Manufacturing
• IT & Telecom

Regions Covered:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Netherlands
  • Belgium
  • Sweden
  • Switzerland
  • Poland
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Thailand
  • Malaysia
  • Singapore
  • Vietnam
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Colombia
  • Chile
  • Peru
  • Rest of South America
• Rest of the World (RoW)
  • Middle East
• Saudi Arabia
• United Arab Emirates
• Qatar
• Israel
• Rest of Middle East
  • Africa
• South Africa
• Egypt
• Morocco
• Rest of Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

• 1.1 Market Snapshot and Key Highlights
• 1.2 Growth Drivers, Challenges, and Opportunities
• 1.3 Competitive Landscape Overview
• 1.4 Strategic Insights and Recommendations

2 Research Framework

• 2.1 Study Objectives and Scope
• 2.2 Stakeholder Analysis
• 2.3 Research Assumptions and Limitations
• 2.4 Research Methodology
  • 2.4.1 Data Collection (Primary and Secondary)
  • 2.4.2 Data Modeling and Estimation Techniques
  • 2.4.3 Data Validation and Triangulation
  • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

• 3.1 Market Definition and Structure
• 3.2 Key Market Drivers
• 3.3 Market Restraints and Challenges
• 3.4 Growth Opportunities and Investment Hotspots
• 3.5 Industry Threats and Risk Assessment
• 3.6 Technology and Innovation Landscape
• 3.7 Emerging and High-Growth Markets
• 3.8 Regulatory and Policy Environment
• 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

• 4.1 Porter's Five Forces Analysis
  • 4.1.1 Supplier Bargaining Power
  • 4.1.2 Buyer Bargaining Power
  • 4.1.3 Threat of Substitutes
  • 4.1.4 Threat of New Entrants
  • 4.1.5 Competitive Rivalry
• 4.2 Market Share Analysis of Key Players
• 4.3 Product Benchmarking and Performance Comparison

5 Global Hyperautomation Market, By Tool Type

• 5.1 Robotic Process Automation (RPA) Tools
• 5.2 Intelligent Document Processing (IDP) Tools
• 5.3 Process Mining & Task Mining Tools
• 5.4 Low-Code/No-Code Automation Platforms
• 5.5 AI & Machine Learning Automation Tools
• 5.6 Integration Platform as a Service (iPaaS)
• 5.7 Business Rule Management Systems (BRMS)

6 Global Hyperautomation Market, By Component

• 6.1 Hardware
• 6.2 Software & Platforms
• 6.3 Services

7 Global Hyperautomation Market, By Technology

• 7.1 Artificial Intelligence & Machine Learning
• 7.2 Natural Language Processing (NLP)
• 7.3 Computer Vision & OCR
• 7.4 Process Mining & Analytics
• 7.5 Digital Twin of Organization (DTO)

8 Global Hyperautomation Market, By Application

• 8.1 Business Process Automation
• 8.2 IT Process Automation
• 8.3 Document & Content Automation
• 8.4 Customer Experience Automation
• 8.5 Compliance & Risk Management Automation
• 8.6 Supply Chain Automation

9 Global Hyperautomation Market, By End User

• 9.1 BFSI
• 9.2 Healthcare
• 9.3 Retail & E-commerce
• 9.4 Manufacturing
• 9.5 IT & Telecom

10 Global Hyperautomation Market, By Geography

• 10.1 North America
  • 10.1.1 United States
  • 10.1.2 Canada
  • 10.1.3 Mexico
• 10.2 Europe
  • 10.2.1 United Kingdom
  • 10.2.2 Germany
  • 10.2.3 France
  • 10.2.4 Italy
  • 10.2.5 Spain
  • 10.2.6 Netherlands
  • 10.2.7 Belgium
  • 10.2.8 Sweden
  • 10.2.9 Switzerland
  • 10.2.10 Poland
  • 10.2.11 Rest of Europe
• 10.3 Asia Pacific
  • 10.3.1 China
  • 10.3.2 Japan
  • 10.3.3 India
  • 10.3.4 South Korea
  • 10.3.5 Australia
  • 10.3.6 Indonesia
  • 10.3.7 Thailand
  • 10.3.8 Malaysia
  • 10.3.9 Singapore
  • 10.3.10 Vietnam
  • 10.3.11 Rest of Asia Pacific
• 10.4 South America
  • 10.4.1 Brazil
  • 10.4.2 Argentina
  • 10.4.3 Colombia
  • 10.4.4 Chile
  • 10.4.5 Peru
  • 10.4.6 Rest of South America
• 10.5 Rest of the World (RoW)
  • 10.5.1 Middle East
    • 10.5.1.1 Saudi Arabia
    • 10.5.1.2 United Arab Emirates
    • 10.5.1.3 Qatar
    • 10.5.1.4 Israel
    • 10.5.1.5 Rest of Middle East
  • 10.5.2 Africa
    • 10.5.2.1 South Africa
    • 10.5.2.2 Egypt
    • 10.5.2.3 Morocco
    • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

• 11.1 Industry Value Network and Supply Chain Assessment
• 11.2 White-Space and Opportunity Mapping
• 11.3 Product Evolution and Market Life Cycle Analysis
• 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

• 12.1 Mergers and Acquisitions
• 12.2 Partnerships, Alliances, and Joint Ventures
• 12.3 New Product Launches and Certifications
• 12.4 Capacity Expansion and Investments
• 12.5 Other Strategic Initiatives

13 Company Profiles

• 13.1 Microsoft Corporation
• 13.2 IBM Corporation
• 13.3 Oracle Corporation
• 13.4 SAP SE
• 13.5 UiPath Inc.
• 13.6 Automation Anywhere Inc.
• 13.7 Blue Prism Group plc
• 13.8 ServiceNow Inc.
• 13.9 Appian Corporation
• 13.10 Pegasystems Inc.
• 13.11 WorkFusion Inc.
• 13.12 NICE Ltd.
• 13.13 Kofax Inc.
• 13.14 Celonis SE
• 13.15 ABB Ltd.
• 13.16 Tata Consultancy Services (TCS)
• 13.17 Accenture plc