서비스 로봇 시장 : 제품 유형, 구성 요소 유형, 이동 방식, 용도, 최종 사용자별 - 세계 시장 예측(2026-2032년)

The Service Robotics Market is projected to grow by USD 283.87 billion at a CAGR of 18.83% by 2032.

Executive Summary: Service Robotics Market Outlook

Service robotics has moved from pilot projects to operational infrastructure across logistics, healthcare, hospitality, cleaning, agriculture, inspection, public safety, and personal assistance. The International Federation of Robotics reported that professional service robot unit sales rose 48% to approximately 158,000 units in 2022, with transportation and logistics robots representing the largest application category, underscoring the commercial shift toward autonomous mobile robots, delivery robots, surgical robots, cleaning robots, and field robotics.

For executives, the service robotics market is increasingly defined by measurable value creation: labor productivity, uptime, safety, traceability, and service consistency. Adoption is strongest where labor availability is constrained, operating environments are repetitive or hazardous, and digital infrastructure supports fleet management, cloud analytics, and AI-enabled autonomy.

Transformative Shifts Reshaping Service Robotics

The service robotics landscape is being reshaped by the convergence of autonomous navigation, advanced sensing, edge computing, cloud robotics, 5G connectivity, and software-defined fleet orchestration. Warehouses, hospitals, airports, hotels, farms, retail environments, and energy assets are adopting robots to improve throughput, reduce workplace risk, and extend operating hours without proportional increases in labor costs.

Procurement is also shifting from one-time equipment purchases toward robotics-as-a-service models, maintenance contracts, and outcome-based automation programs. This transition lowers upfront capital barriers while increasing the importance of cybersecurity, interoperability, lifecycle service, and compliance with safety standards such as ISO 13482 for personal care robots and ISO 3691-4 for driverless industrial trucks.

Cumulative Impact of Artificial Intelligence

Artificial intelligence is compounding the value of service robotics by improving perception, object recognition, route optimization, human-robot interaction, predictive maintenance, and adaptive task execution. AI enables robots to operate in less structured environments, including hospitals, restaurants, fulfillment centers, farms, mines, and inspection sites, where conditions change continuously and rule-based automation is insufficient.

The cumulative impact is not only technical but strategic. AI-powered service robots generate operational data that can improve scheduling, asset utilization, safety reporting, and quality control. At the same time, leaders must manage model validation, explainability, data governance, and regulatory risk, especially in healthcare, public spaces, defense, and applications involving personal data or physical interaction with humans.

Key Regional Insights Across Service Robotics

Asia-Pacific is a central growth engine for service robotics due to its electronics supply chains, dense urban markets, aging populations, and strong robotics ecosystems in China, Japan, and South Korea. North America benefits from high labor costs, e-commerce scale, healthcare investment, warehouse automation, and a mature innovation environment supporting autonomous mobile robots, medical robots, agricultural robots, and field robotics.

Europe combines advanced manufacturing, healthcare demand, and strict safety and data rules, with the EU AI Act shaping responsible deployment of AI-enabled robots. Latin America is adopting service robots in agriculture, mining, retail, and logistics where productivity gains are measurable. The Middle East is using robotics in smart cities, airports, hospitality, security, and energy operations, while Africa shows emerging demand in mining, healthcare delivery, agriculture, and infrastructure inspection, subject to connectivity, financing, and skills constraints.

Key Economic Group Insights for Service Robotics

ASEAN demand is supported by electronics manufacturing, logistics modernization, tourism, and smart city programs, with Singapore acting as a testbed for healthcare, cleaning, security, and public-service robots. GCC countries are advancing service robotics through smart city investments, airport automation, oil and gas inspection, hospitality robotics, and national diversification strategies that prioritize digital infrastructure.

The European Union emphasizes safety, privacy, interoperability, and trusted AI, making compliance a competitive differentiator for robotics vendors. BRICS markets provide scale through manufacturing, agriculture, healthcare, mining, and public infrastructure needs. G7 economies lead in R&D intensity, medical robotics, standards development, and enterprise adoption, while NATO members are expanding interest in unmanned systems, inspection robots, explosive ordnance disposal platforms, and logistics support for defense resilience.

Key Country Insights for Service Robotics

The United States leads in warehouse automation, surgical robotics, defense robotics, and venture-backed autonomy, while Canada shows strength in AI research, mining automation, healthcare pilots, and logistics robotics. Mexico is positioned for service robotics adoption through nearshoring, manufacturing support, warehousing, and retail automation, and Brazil offers demand in agribusiness, mining, healthcare, and urban logistics.

The United Kingdom, Germany, France, Italy, and Spain combine healthcare needs, industrial depth, and public-sector innovation, while Russia's opportunities are concentrated in defense, energy, mining, and remote operations. China is scaling service robots through domestic manufacturing and large consumer markets; India is advancing healthcare, logistics, agriculture, and public-service use cases; Japan and South Korea remain leaders in aging-society robotics, hospitality, and advanced components; and Australia is strong in mining, agriculture, inspection, and remote asset operations.

Actionable Recommendations for Industry Leaders

Industry leaders should prioritize use cases with clear performance metrics, including labor hours saved, downtime reduced, safety incidents avoided, service response time improved, and asset utilization increased. The strongest deployments begin with workflow redesign rather than robot substitution, ensuring that robotics, workforce training, facility layout, IT systems, and maintenance models are aligned before scale-up.

Executives should build vendor scorecards around autonomy performance, safety certification, cybersecurity, fleet management software, integration capability, battery lifecycle, total cost of ownership, and service availability. Partnerships with hospitals, logistics operators, universities, insurers, standards bodies, and public agencies can accelerate validation while reducing adoption risk in regulated and human-facing environments.

Research Methodology and Data Validation

This executive summary is based on a structured review of verified public and institutional sources, including the International Federation of Robotics, national statistics offices, customs and trade data, public filings, standards organizations, regulatory publications, patent databases, and sector-specific sources covering healthcare, logistics, agriculture, energy, and defense robotics.

Data triangulation is applied to compare supply-side indicators, demand-side adoption signals, macroeconomic variables, technology readiness, regulatory developments, and competitive activity. Insights are validated through consistency checks across multiple sources, with emphasis on documented unit adoption, policy frameworks, workforce trends, infrastructure readiness, and observed commercial deployment rather than unsupported forecasts.

Conclusion: Scaling Trusted Service Robotics

Service robotics is becoming a foundational technology for organizations facing labor scarcity, rising service expectations, safety requirements, and demand for resilient operations. The market's most durable opportunities are in applications where robots can deliver measurable productivity, reliability, compliance, and customer-experience gains.

The next phase of competitive advantage will depend on trusted autonomy, AI governance, scalable service models, and seamless integration with enterprise systems. Organizations that combine operational discipline with responsible AI, cybersecurity, and human-centered deployment will be best positioned to advance in the global service robotics market.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Definition
• 1.3. Market Segmentation & Coverage
• 1.4. Years Considered for the Study
• 1.5. Currency Considered for the Study
• 1.6. Language Considered for the Study
• 1.7. Key Stakeholders

2. Research Methodology

• 2.1. Introduction
• 2.2. Research Design
  • 2.2.1. Primary Research
  • 2.2.2. Secondary Research
• 2.3. Research Framework
  • 2.3.1. Qualitative Analysis
  • 2.3.2. Quantitative Analysis
• 2.4. Market Size Estimation
  • 2.4.1. Top-Down Approach
  • 2.4.2. Bottom-Up Approach
• 2.5. Data Triangulation
• 2.6. Research Outcomes
• 2.7. Research Assumptions
• 2.8. Research Limitations

3. Executive Summary

• 3.1. Introduction
• 3.2. CXO Perspective
• 3.3. Market Size & Growth Trends
• 3.4. Market Share Analysis, 2025
• 3.5. FPNV Positioning Matrix, 2025
• 3.6. New Revenue Opportunities
• 3.7. Next-Generation Business Models
• 3.8. Industry Roadmap

4. Market Overview

• 4.1. Introduction
• 4.2. Industry Ecosystem & Value Chain Analysis
  • 4.2.1. Supply-Side Analysis
  • 4.2.2. Demand-Side Analysis
  • 4.2.3. Stakeholder Analysis
• 4.3. Market Dynamics
  • 4.3.1. Key Drivers
  • 4.3.2. Key Restraints
  • 4.3.3. Key Opportunities
  • 4.3.4. Key Challenges
• 4.4. Porter's Five Forces Analysis
• 4.5. PESTLE Analysis
• 4.6. Market Outlook
  • 4.6.1. Near-Term Market Outlook (0-2 Years)
  • 4.6.2. Medium-Term Market Outlook (3-5 Years)
  • 4.6.3. Long-Term Market Outlook (5-10 Years)
• 4.7. Go-to-Market Strategy

5. Market Insights

• 5.1. Consumer Insights & End-User Perspective
• 5.2. Consumer Experience Benchmarking
• 5.3. Opportunity Mapping
• 5.4. Distribution Channel Analysis
• 5.5. Pricing Trend Analysis
• 5.6. Regulatory Compliance & Standards Framework
• 5.7. ESG & Sustainability Analysis
• 5.8. Disruption & Risk Scenarios
• 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of Artificial Intelligence 2026

7. Service Robotics Market, by Product Type

• 7.1. Personal Service Robots
• 7.2. Professional Service Robots

8. Service Robotics Market, by Component Type

• 8.1. Hardware
  • 8.1.1. Actuators
  • 8.1.2. Control Systems
  • 8.1.3. Power Supply
  • 8.1.4. Sensors
• 8.2. Services
  • 8.2.1. Consulting Services
  • 8.2.2. Integration Services
  • 8.2.3. Support & Maintenance
• 8.3. Software

9. Service Robotics Market, by Mobility

• 9.1. Mobile Robotics
  • 9.1.1. Aerial Robots
  • 9.1.2. Legged Robots
  • 9.1.3. Tracked Robots
  • 9.1.4. Wheeled Robots
• 9.2. Stationary Robotics

10. Service Robotics Market, by Application

• 10.1. Cleaning & Sanitation
• 10.2. Delivery & Transportation
• 10.3. Inspection & Monitoring
• 10.4. Assistance & Caregiving

11. Service Robotics Market, by End-User

• 11.1. Aerospace & Defense
• 11.2. Agriculture
• 11.3. Automotive, Transportation & Logistics
• 11.4. Building & Construction
• 11.5. Education
• 11.6. Energy & Utilities
• 11.7. Healthcare
• 11.8. Household
• 11.9. Retail & Hospitality

12. Service Robotics Market, by Region

• 12.1. Asia-Pacific
• 12.2. North America
• 12.3. Latin America
• 12.4. Europe
• 12.5. Middle East
• 12.6. Africa

13. Service Robotics Market, by Group

• 13.1. ASEAN
• 13.2. GCC
• 13.3. European Union
• 13.4. BRICS
• 13.5. G7
• 13.6. NATO

14. Service Robotics Market, by Country

• 14.1. United States
• 14.2. Canada
• 14.3. Mexico
• 14.4. Brazil
• 14.5. United Kingdom
• 14.6. Germany
• 14.7. France
• 14.8. Russia
• 14.9. Italy
• 14.10. Spain
• 14.11. China
• 14.12. India
• 14.13. Japan
• 14.14. Australia
• 14.15. South Korea

15. Competitive Landscape

• 15.1. Market Concentration Analysis, 2025
  • 15.1.1. Concentration Ratio (CR)
  • 15.1.2. Herfindahl Hirschman Index (HHI)
• 15.2. Recent Developments & Impact Analysis, 2025
• 15.3. Product Portfolio Analysis, 2025
• 15.4. Benchmarking Analysis, 2025

16. Company Profiles

• 16.1. AB Electrolux
• 16.2. ABB Ltd.
• 16.3. Aethon, Inc. by Singapore Technologies Engineering Ltd
• 16.4. BAE Systems PLC
• 16.5. Beijing Roborock Technology Co., Ltd.
• 16.6. Daifuku Co., Ltd.
• 16.7. DeLaval Group
• 16.8. Ecovacs Group
• 16.9. Exail SAS
• 16.10. GeckoSystems Intl. Corp.
• 16.11. General Dynamics Corporation
• 16.12. General Motors Company
• 16.13. Hajime Research Institute, Ltd.
• 16.14. Hanson Robotics, Limited
• 16.15. Honda Motor Co., Ltd.
• 16.16. Hyundai Motor Company
• 16.17. Intuitive Surgical Inc.
• 16.18. iRobot Corporation
• 16.19. Kawasaki Heavy Industries, Ltd.
• 16.20. KEENON Robotics Co., Ltd.
• 16.21. Knightscope, Inc.
• 16.22. Kongsberg Gruppen ASA
• 16.23. Kuka AG
• 16.24. Medtronic PLC
• 16.25. OmniGuide Holdings, Inc.
• 16.26. PAL Robotics SL
• 16.27. Panasonic Holdings Corporation
• 16.28. Promobot
• 16.29. Relay Delivery Robots
• 16.30. Robert Bosch GmbH
• 16.31. Samsung Electronics Co., Ltd
• 16.32. Serve Robotics Inc.
• 16.33. SoftBank Robotics Group
• 16.34. SZ DJI Technology Co., Ltd.
• 16.35. Tennant Company
• 16.36. Tokyo Robotics Inc.
• 16.37. Toyota Motor Corporation
• 16.38. Ubtech Robotics Corp Ltd.
• 16.39. Yaskawa Electric Corporation
• 16.40. Yujin Robot Co. Ltd.