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하이퍼오토메이션 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

Global Hyperautomation Market Size, Share, Trends & Growth Analysis Report 2026-2034
발행일: | 리서치사: Value Market Research | 페이지 정보: 영문 157 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

하이퍼오토메이션 시장 규모는 2025년 647억 9,000만 달러에서 2026년부터 2034년까지 CAGR 17.04%로 성장하여 2034년에는 2,670억 2,000만 달러에 달할 것으로 예측됩니다.

조직이 업무 효율성과 민첩성 향상에 대한 필요성을 점점 더 인식함에 따라 하이퍼오토메이션 시장은 크게 확대될 것으로 예상됩니다. 인공지능(AI), 머신러닝(ML), 로보틱 프로세스 자동화(RPA), 지능형 비즈니스 프로세스 관리와 같은 첨단 기술을 통합함으로써 기업은 기존에 자동화가 어려웠던 복잡한 프로세스를 자동화할 수 있습니다. 이러한 기술의 융합은 워크플로우를 간소화할 뿐만 아니라 실시간 데이터 분석을 가능하게 하고, 정보에 입각한 의사결정을 촉진합니다. 기업들이 빠르게 진화하는 디지털 환경에서 경쟁력을 유지하기 위해 하이퍼오토메이션 솔루션에 대한 수요가 급증하면서 이 분야의 혁신과 투자를 촉진할 것으로 예상됩니다.

또한, 로우코드/노코드 플랫폼의 등장으로 기술 지식이 없는 사용자도 자동화 솔루션을 개발할 수 있게 되면서 하이퍼오토메이션의 영역은 계속 진화하고 있습니다. 이 기술의 민주화는 금융, 의료, 제조 등 다양한 산업에서 하이퍼오토메이션의 도입을 가속화할 것입니다. 조직이 하이퍼오토메이션의 힘을 활용하면 전례 없는 수준의 생산성과 업무 탄력성을 달성할 수 있습니다. 이 시장의 미래는 작업을 수행하는 것뿐만 아니라 시간이 지남에 따라 학습하고 적응하여 전체 비즈니스 성과를 향상시키는 보다 지능적인 자동화 프레임워크로의 전환으로 특징지어질 것입니다.

또한, 하이퍼오토메이션 시장에서는 종합적인 솔루션 제공을 위해 각 사의 강점을 결집하려는 움직임으로 인해 기술 제공업체 간 제휴 및 협업이 급증할 것으로 예상됩니다. 고급 분석 기술과 AI 기반 인사이트를 통합함으로써 하이퍼오토메이션 툴의 역량이 더욱 강화되고, 조직은 시장 동향과 고객 니즈를 보다 효과적으로 예측할 수 있게 됩니다. 시장이 성숙해짐에 따라 지속가능하고 확장 가능한 자동화 생태계 구축에 초점이 맞춰질 것으로 예상됩니다. 이러한 생태계는 비즈니스 요구사항과 함께 진화하며, 점점 더 복잡해지는 운영 환경에서 장기적인 성공과 적응성을 보장합니다.

목차

제1장 소개

제2장 주요 요약

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 하이퍼오토메이션 시장 : 기술별

제5장 세계의 하이퍼오토메이션 시장 : 기능별

제6장 세계의 하이퍼오토메이션 시장 : 최종사용별

제7장 세계의 하이퍼오토메이션 시장 : 지역별

제8장 경쟁 구도

제9장 기업 개요

KSM

The Hyperautomation Market size is expected to reach USD 267.02 Billion in 2034 from USD 64.79 Billion (2025) growing at a CAGR of 17.04% during 2026-2034.

The hyperautomation market is poised for significant expansion as organizations increasingly recognize the need for enhanced operational efficiency and agility. By integrating advanced technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and intelligent business process management, businesses can automate complex processes that were previously deemed too intricate for automation. This convergence of technologies not only streamlines workflows but also enables real-time data analysis, fostering informed decision-making. As enterprises strive to remain competitive in a rapidly evolving digital landscape, the demand for hyperautomation solutions is expected to surge, driving innovation and investment in this sector.

Moreover, the hyperautomation landscape is evolving with the advent of low-code and no-code platforms, which empower non-technical users to develop automation solutions. This democratization of technology is likely to accelerate the adoption of hyperautomation across various industries, including finance, healthcare, and manufacturing. As organizations harness the power of hyperautomation, they can achieve unprecedented levels of productivity and operational resilience. The future of this market will be characterized by a shift towards more intelligent automation frameworks that not only execute tasks but also learn and adapt over time, thereby enhancing overall business performance.

In addition, the hyperautomation market is expected to witness a surge in partnerships and collaborations among technology providers, as companies seek to combine their strengths to deliver comprehensive solutions. The integration of advanced analytics and AI-driven insights will further enhance the capabilities of hyperautomation tools, enabling organizations to anticipate market trends and customer needs more effectively. As the market matures, the focus will likely shift towards creating sustainable and scalable automation ecosystems that can evolve alongside business requirements, ensuring long-term success and adaptability in an increasingly complex operational environment.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Technology

  • Robotic Process Automation
  • Machine Learning (ML)
  • Biometrics
  • chatbots
  • Context Aware Computing
  • Natural Language Generation (NGL)

By Function

  • Marketing & Sales
  • Finance & Accounting
  • Human Resources
  • Operations & supply Chain
  • Information Technology

By End Use

  • Manufacturing
  • Automotive
  • BFSI
  • Healthcare
  • IT & Telecommunication
  • Retail
  • Transportation & Logistics
  • Others

COMPANIES PROFILED

  • UiPath, Wipro, Tata Consultancy Services, Mitsubishi Electric Corporation, OneGlobe LLC, SolveXia, Appian, Automation Anywhere, Allerin Tech, PagerDuty, Honeywell International, Microsoft, Zendex, Alteryx, Juniper Network

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL HYPERAUTOMATION MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Technology
  • 4.2. Robotic Process Automation Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Machine Learning (ML) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Biometrics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.5. chatbots Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.6. Context Aware Computing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.7. Natural Language Generation (NGL) Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL HYPERAUTOMATION MARKET: BY FUNCTION 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Function
  • 5.2. Marketing & Sales Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Finance & Accounting Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Human Resources Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Operations & supply Chain Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Information Technology Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL HYPERAUTOMATION MARKET: BY END USE 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast End Use
  • 6.2. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.6. IT & Telecommunication Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.7. Retail Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.8. Transportation & Logistics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.9. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL HYPERAUTOMATION MARKET: BY REGION 2022-2034(USD MN)

  • 7.1. Regional Outlook
  • 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.2.1 By Technology
    • 7.2.2 By Function
    • 7.2.3 By End Use
    • 7.2.4 United States
    • 7.2.5 Canada
    • 7.2.6 Mexico
  • 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.3.1 By Technology
    • 7.3.2 By Function
    • 7.3.3 By End Use
    • 7.3.4 United Kingdom
    • 7.3.5 France
    • 7.3.6 Germany
    • 7.3.7 Italy
    • 7.3.8 Russia
    • 7.3.9 Rest Of Europe
  • 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.4.1 By Technology
    • 7.4.2 By Function
    • 7.4.3 By End Use
    • 7.4.4 India
    • 7.4.5 Japan
    • 7.4.6 South Korea
    • 7.4.7 Australia
    • 7.4.8 South East Asia
    • 7.4.9 Rest Of Asia Pacific
  • 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.5.1 By Technology
    • 7.5.2 By Function
    • 7.5.3 By End Use
    • 7.5.4 Brazil
    • 7.5.5 Argentina
    • 7.5.6 Peru
    • 7.5.7 Chile
    • 7.5.8 South East Asia
    • 7.5.9 Rest of Latin America
  • 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.6.1 By Technology
    • 7.6.2 By Function
    • 7.6.3 By End Use
    • 7.6.4 Saudi Arabia
    • 7.6.5 UAE
    • 7.6.6 Israel
    • 7.6.7 South Africa
    • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

  • 8.1. Recent Developments
  • 8.2. Company Categorization
  • 8.3. Supply Chain & Channel Partners (based on availability)
  • 8.4. Market Share & Positioning Analysis (based on availability)
  • 8.5. Vendor Landscape (based on availability)
  • 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL HYPERAUTOMATION INDUSTRY

  • 9.1. Top Companies Market Share Analysis
  • 9.2. Company Profiles
    • 9.2.1 UiPath
    • 9.2.2 Wipro
    • 9.2.3 Tata Consultancy Services
    • 9.2.4 Mitsubishi Electric Corporation
    • 9.2.5 OneGlobe LLC
    • 9.2.6 SolveXia
    • 9.2.7 Appian
    • 9.2.8 Automation Anywhere
    • 9.2.9 Allerin Tech
    • 9.2.10 PagerDuty
    • 9.2.11 Honeywell International
    • 9.2.12 Microsoft
    • 9.2.13 Zendex
    • 9.2.14 Alteryx
    • 9.2.15 Juniper Network
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