세계의 하이퍼자동화 시장 조사 보고서 : 산업 분석, 규모, 점유율, 성장, 동향, 예측(2025-2033년)

Global Hyperautomation Market size is anticipated to grow from USD 55.36 Billion in 2024 to USD 228.12 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 17.04% during the forecast period of 2026 to 2033.

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.

SEGMENTATION COVERED IN THE REPORT

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.
• The above list can be customized.

TABLE OF CONTENTS

1. PREFACE

• 1.1. Report Description
  • 1.1.1 Objective
  • 1.1.2 Target Audience
  • 1.1.3 Unique Selling Proposition (USP) & offerings
• 1.2. Research Scope
• 1.3. Research Methodology
  • 1.3.1 Market Research Process
  • 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

• 2.1. Highlights of Market
• 2.2. Global Market Snapshot

3. HYPERAUTOMATION INDUSTRY ANALYSIS

• 3.1. Introduction - Market Dynamics
• 3.2. Market Drivers
• 3.3. Market Restraints
• 3.4. Opportunities
• 3.5. Industry Trends
• 3.6. Poerter's Five Force Analysis
• 3.7. Market Attractiveness Analysis
  • 3.7.1 Market Attractiveness Analysis By Technology
  • 3.7.2 Market Attractiveness Analysis By Function
  • 3.7.3 Market Attractiveness Analysis By End Use
  • 3.7.4 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

• 4.1. Value Chain Analysis
• 4.2. Raw Material Analysis
  • 4.2.1 List of Raw Materials
  • 4.2.2 Raw Material Manufactures List
  • 4.2.3 Price Trend of Key Raw Materials
• 4.3. List of Potential Buyers
• 4.4. Marketing Channel
  • 4.4.1 Direct Marketing
  • 4.4.2 Indirect Marketing
  • 4.4.3 Marketing Channel Development Trend

5. GLOBAL HYPERAUTOMATION MARKET ANALYSIS BY TECHNOLOGY

• 5.1. Overview By Technology
• 5.2. Historical and Forecast Data Analysis By Technology
• 5.3. Robotic Process Automation Historic and Forecast Sales By Regions
• 5.4. Machine Learning (ML) Historic and Forecast Sales By Regions
• 5.5. Biometrics Historic and Forecast Sales By Regions
• 5.6. chatbots Historic and Forecast Sales By Regions
• 5.7. Context Aware Computing Historic and Forecast Sales By Regions
• 5.8. Natural Language Generation (NGL) Historic and Forecast Sales By Regions

6. GLOBAL HYPERAUTOMATION MARKET ANALYSIS BY FUNCTION

• 6.1. Overview By Function
• 6.2. Historical and Forecast Data Analysis By Function
• 6.3. Marketing & Sales Historic and Forecast Sales By Regions
• 6.4. Finance & Accounting Historic and Forecast Sales By Regions
• 6.5. Human Resources Historic and Forecast Sales By Regions
• 6.6. Operations & supply Chain Historic and Forecast Sales By Regions
• 6.7. Information Technology Historic and Forecast Sales By Regions

7. GLOBAL HYPERAUTOMATION MARKET ANALYSIS BY END USE

• 7.1. Overview By End Use
• 7.2. Historical and Forecast Data Analysis By End Use
• 7.3. Manufacturing Historic and Forecast Sales By Regions
• 7.4. Automotive Historic and Forecast Sales By Regions
• 7.5. BFSI Historic and Forecast Sales By Regions
• 7.6. Healthcare Historic and Forecast Sales By Regions
• 7.7. IT & Telecommunication Historic and Forecast Sales By Regions
• 7.8. Retail Historic and Forecast Sales By Regions
• 7.9. Transportation & Logistics Historic and Forecast Sales By Regions
• 7.10. Others Historic and Forecast Sales By Regions

8. GLOBAL HYPERAUTOMATION MARKET ANALYSIS BY GEOGRAPHY

• 8.1. Regional Outlook
• 8.2. Introduction
• 8.3. North America Sales Analysis
  • 8.3.1 Overview, Historic and Forecast Data Sales Analysis
  • 8.3.2 North America By Segment Sales Analysis
  • 8.3.3 North America By Country Sales Analysis
  • 8.3.4 United States Sales Analysis
  • 8.3.5 Canada Sales Analysis
  • 8.3.6 Mexico Sales Analysis
• 8.4. Europe Sales Analysis
  • 8.4.1 Overview, Historic and Forecast Data Sales Analysis
  • 8.4.2 Europe By Segment Sales Analysis
  • 8.4.3 Europe By Country Sales Analysis
  • 8.4.4 United Kingdom Sales Analysis
  • 8.4.5 France Sales Analysis
  • 8.4.6 Germany Sales Analysis
  • 8.4.7 Italy Sales Analysis
  • 8.4.8 Russia Sales Analysis
  • 8.4.9 Rest Of Europe Sales Analysis
• 8.5. Asia Pacific Sales Analysis
  • 8.5.1 Overview, Historic and Forecast Data Sales Analysis
  • 8.5.2 Asia Pacific By Segment Sales Analysis
  • 8.5.3 Asia Pacific By Country Sales Analysis
  • 8.5.4 China Sales Analysis
  • 8.5.5 India Sales Analysis
  • 8.5.6 Japan Sales Analysis
  • 8.5.7 South Korea Sales Analysis
  • 8.5.8 Australia Sales Analysis
  • 8.5.9 South East Asia Sales Analysis
  • 8.5.10 Rest Of Asia Pacific Sales Analysis
• 8.6. Latin America Sales Analysis
  • 8.6.1 Overview, Historic and Forecast Data Sales Analysis
  • 8.6.2 Latin America By Segment Sales Analysis
  • 8.6.3 Latin America By Country Sales Analysis
  • 8.6.4 Brazil Sales Analysis
  • 8.6.5 Argentina Sales Analysis
  • 8.6.6 Peru Sales Analysis
  • 8.6.7 Chile Sales Analysis
  • 8.6.8 Rest of Latin America Sales Analysis
• 8.7. Middle East & Africa Sales Analysis
  • 8.7.1 Overview, Historic and Forecast Data Sales Analysis
  • 8.7.2 Middle East & Africa By Segment Sales Analysis
  • 8.7.3 Middle East & Africa By Country Sales Analysis
  • 8.7.4 Saudi Arabia Sales Analysis
  • 8.7.5 UAE Sales Analysis
  • 8.7.6 Israel Sales Analysis
  • 8.7.7 South Africa Sales Analysis
  • 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE HYPERAUTOMATION COMPANIES

• 9.1. Hyperautomation Market Competition
• 9.2. Partnership/Collaboration/Agreement
• 9.3. Merger And Acquisitions
• 9.4. New Product Launch
• 9.5. Other Developments

10. COMPANY PROFILES OF HYPERAUTOMATION INDUSTRY

• 10.1. Top Companies Market Share Analysis
• 10.2. Market Concentration Rate
• 10.3. UiPath
  • 10.3.1 Company Overview
  • 10.3.2 Company Revenue
  • 10.3.3 Products
  • 10.3.4 Recent Developments
• 10.4. Wipro
  • 10.4.1 Company Overview
  • 10.4.2 Company Revenue
  • 10.4.3 Products
  • 10.4.4 Recent Developments
• 10.5. Tata Consultancy Services
  • 10.5.1 Company Overview
  • 10.5.2 Company Revenue
  • 10.5.3 Products
  • 10.5.4 Recent Developments
• 10.6. Mitsubishi Electric Corporation
  • 10.6.1 Company Overview
  • 10.6.2 Company Revenue
  • 10.6.3 Products
  • 10.6.4 Recent Developments
• 10.7. OneGlobe LLC
  • 10.7.1 Company Overview
  • 10.7.2 Company Revenue
  • 10.7.3 Products
  • 10.7.4 Recent Developments
• 10.8. SolveXia
  • 10.8.1 Company Overview
  • 10.8.2 Company Revenue
  • 10.8.3 Products
  • 10.8.4 Recent Developments
• 10.9. Appian
  • 10.9.1 Company Overview
  • 10.9.2 Company Revenue
  • 10.9.3 Products
  • 10.9.4 Recent Developments
• 10.10. Automation Anywhere
  • 10.10.1 Company Overview
  • 10.10.2 Company Revenue
  • 10.10.3 Products
  • 10.10.4 Recent Developments
• 10.11. Allerin Tech
  • 10.11.1 Company Overview
  • 10.11.2 Company Revenue
  • 10.11.3 Products
  • 10.11.4 Recent Developments
• 10.12. PagerDuty
  • 10.12.1 Company Overview
  • 10.12.2 Company Revenue
  • 10.12.3 Products
  • 10.12.4 Recent Developments
• 10.13. Honeywell International
  • 10.13.1 Company Overview
  • 10.13.2 Company Revenue
  • 10.13.3 Products
  • 10.13.4 Recent Developments
• 10.14. Microsoft
  • 10.14.1 Company Overview
  • 10.14.2 Company Revenue
  • 10.14.3 Products
  • 10.14.4 Recent Developments
• 10.15. Zendex
  • 10.15.1 Company Overview
  • 10.15.2 Company Revenue
  • 10.15.3 Products
  • 10.15.4 Recent Developments
• 10.16. Alteryx
  • 10.16.1 Company Overview
  • 10.16.2 Company Revenue
  • 10.16.3 Products
  • 10.16.4 Recent Developments
• 10.17. Juniper Network
  • 10.17.1 Company Overview
  • 10.17.2 Company Revenue
  • 10.17.3 Products
  • 10.17.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies