비전 기반 로봇 안전 시스템 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the Vision-Based robot safety systems market size is expected to expand from USD 270.23 million in 2025 to USD 306.40 million in 2026, and is forecast to reach USD 598.51 million by 2031, at a 14.33% CAGR over 2026-2031.

Global Vision-Based Robot Safety Systems Market Trends and Insights

Integration of AI, Edge Computing, and 3D Perception Reshapes Safety Architecture

Edge-based AI vision is moving from quality inspection into the safety layer when fixed protective zones cannot account for changing human and robot paths. A 2025 IEEE study reported 92.3% detection precision and 88.5% mean average precision from a system combining LiDAR, RGB, and thermal inputs at 28 to 35 frames per second. Cognex launched the In-Sight 3900 in May 2026 with Qualcomm Dragonwing processing and up to 4X faster processing than its predecessor. It also launched the NVIDIA Jetson-powered In-Sight 6900 controller in April 2026 for demanding local workloads. The Vision-Based Robot Safety Systems Market, therefore, favors suppliers that reduce latency while maintaining documented, certified system behavior. Model updates still require safety validation before deployment, which makes update management as important as processing performance.

Expansion of Collaborative Robot Workcells Multiplies Contact-Zone Exposure

Collaborative robots create several small and changing protective zones instead of one fixed cell perimeter. The global operating stock of industrial robots reached 4.664 million units in 2024, supporting wider use of robots in constrained production settings. SICK and Universal Robots developed the End-of-Arm Safeguard, which creates a moving protective field around the tool rather than increasing the workcell footprint. Smaller, more varied workcells increase the cost of validating each installation. This supports demand in the Vision-Based Robot Safety Systems Market for pre-certified modules that require less custom engineering. It also gives suppliers with proven integration packages a clearer route into smaller factories.

High Functional Safety Validation and Certification Costs Compress Integrator Margins

Functional safety certification for a new vision-based product can take 12 to 18 months and cost more than USD 500,000 when hardware and software require joint certification. This expense is difficult for small and mid-sized integrators to absorb. Pilz released its TUV-certified SEC2 Safety Ethernet Connection function block for safety communication across heterogeneous systems. The product supports ISO 13849 Performance Level e and IEC 61508 Safety Integrity Level 3 requirements. Some users may instead place uncertified AI vision in a monitoring role, leaving compliance uncertain. The cost and duration of certification can therefore limit the commercial pace of the Vision-Based Robot Safety Systems Market, even where the underlying technology is mature.

Other drivers and restraints analyzed in the detailed report include:

1. Growth of Autonomous Mobile Robots in Warehouses Creates Perpetual Safety Perimeter Demand
2. Stricter Functional Safety and Machine Safety Requirements Raise the Certification Floor
3. Integration Complexity Across Legacy Robot Controllers and Safety PLCs Slows Brownfield Adoption

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Human Presence Detection held the largest share at 27.71% in 2025, making it a core part of demand for Vision-Based Robot Safety Systems in shared workspaces. Reliable detection is necessary before other protective functions can respond appropriately to changing worker positions and intended robot motion. Speed and Separation Monitoring, safety zone detection, and collision detection are commonly combined in layered safety designs across complex facilities. These functions address different risks around collaborative equipment, fixed industrial robots, and mobile platforms operating near workers.

Safe Navigation and Path Monitoring is forecast to expand at an 18.23% CAGR through 2031. Its growth reflects mobile platforms operating through open floors where zones cannot be fully pre-mapped or reliably separated from pedestrian routes. A 2025 Frontiers in Robotics and AI study reported 88% obstacle avoidance success with sub-150-millisecond latency for an edge-deployed logistics robot. Other functions include heat mapping, load detection, and posture analysis. These functions have gained relevance in pharmaceutical production and aerospace assembly, where ergonomic compliance may be reviewed during safety and process audits. The Vision-Based Robot Safety Systems Market can therefore extend beyond hazard detection to more specialized workplace controls that support site-specific operating procedures.

3D Stereo Vision accounted for 28.93% of the Vision-Based Robot Safety Systems Market share in 2025. Its position reflects dependable depth information, deterministic geometric output, and long integration experience in automotive body-in-white and heavy-component assembly cells. Structured-light 3D vision and time-of-flight sensors also address applications that need accurate depth measurement in varying working distances. SICK launched the safeVisionary2 in April 2026 as a safety-certified 3D time-of-flight sensor with configurable three-dimensional protective fields.

AI and Deep-Learning Vision is forecast to expand at a 21.78% CAGR through 2031. It can classify objects by type, distinguishing a pedestrian from a stationary cart instead of simply measuring movement or distance from the sensing device. A 2025 Applied Sciences review identified multimodal sensor fusion and explainable AI as active research areas in collaborative robotics. Explainability can help address concerns about predictable behavior during safety validation and subsequent system audits. Two-dimensional safety vision remains useful in controlled and cost-sensitive settings. Its relative position is under pressure as three-dimensional alternatives become more accessible for machine-tool guarding applications requiring depth-aware protective fields.

Complete Report Scope:

• By Safety Function
  • Human Presence Detection
  • Speed and Separation Monitoring (SSM)
  • Safety Zone / Intrusion Detection
  • Collision / Proximity Detection
  • Safe Navigation and Path Monitoring
  • Other Safety Functions
• By Vision Technology
  • 2D Safety Vision
  • 3D Stereo Vision
  • Structured-Light 3D Vision
  • Time-of-Flight (ToF)
  • AI / Deep-Learning Vision
  • Other Vision Technologies
• By Robot Type
  • Industrial Robots
  • Collaborative Robots (Cobots)
  • Mobile Robots (AMRs/AGVs)
  • Industrial Mobile Manipulators
  • Other Robot Types
• By End-User Industry
  • Automotive and Mobility
  • Electronics and Semiconductors
  • General Manufacturing
  • Food and Beverage
  • Pharmaceutical and Medical Devices
  • Logistics and Warehousing
  • Aerospace and Defense
  • Other End-User Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of the Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

Asia-Pacific held 37.41% of the Vision-Based Robot Safety Systems Market share in 2025. China installed 295,000 industrial robots in 2024, representing 54% of global deployments, while domestic manufacturers accounted for 57% of the Chinese market. Japan operated a stock of 450,500 units in 2024, up 3% from the prior year, and South Korea maintained annual installations near 31,000 units since 2019. India installed a record 9,100 industrial robots in 2024, with automotive accounting for 45% of those deployments. Growing deployments and alignment with ISO 10218 provisions support demand for internationally certified safety platforms across the region.

North America and Europe were the second- and third-largest geographic blocs in 2025. Germany installed 26,982 robots in 2024, accounting for 32% of European installations, despite an 8% decline from the prior year. The European Union Machinery Regulation 2023/1230 tightens requirements for autonomous and AI-enabled machinery, creating upgrade needs in automotive and machine-tool facilities. North America installed 50,100 robots in 2024, and the United States accounted for 34,200 units, or 68% of the regional total. Network isolation and software integrity requirements also encourage the replacement of older safety installations that were not designed to meet current cybersecurity expectations.

The Middle East and Africa are forecast to expand at a 15.56% CAGR through 2031, the fastest regional rate in the Vision-Based Robot Safety Systems Market. Saudi Vision 2030 and the United Arab Emirates National Industry Strategy support manufacturing capacity, logistics hubs, warehouse automation, and purpose-built mobile robot operations. Greenfield facilities can specify safety systems during design rather than adding them later, supporting greater system value when AMR operations are planned from the start. South America remains smaller, with Brazil and Argentina holding most regional installations, while Mexico installed 5,600 robots in 2024 despite a 4% annual decline.

1. Balluff GmbH
2. Banner Engineering Corp.
3. Basler AG
4. Cognex Corporation
5. DENSO CORPORATION
6. FANUC CORPORATION
7. Hans TURCK GmbH & Co. KG
8. Hokuyo Automatic Co., Ltd.
9. IDEC Corporation
10. ifm electronic GmbH
11. KEYENCE CORPORATION
12. KUKA AG
13. Leuze electronic GmbH + Co. KG
14. OMRON Corporation
15. Panasonic Holdings Corporation
16. Pepperl+Fuchs SE
17. Pilz GmbH & Co. KG
18. Rockwell Automation, Inc.
19. SICK AG
20. Schneider Electric SE
21. Teledyne Technologies Incorporated
22. Universal Robots A/S
23. Yaskawa Electric Corporation

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Expansion of Collaborative Robot Workcells
  • 4.2.2 Growth of Autonomous Mobile Robots in Warehouses
  • 4.2.3 Stricter Functional Safety and Machine Safety Requirements
  • 4.2.4 Integration of AI, Edge Computing, and 3D Perception
  • 4.2.5 Brownfield Retrofit Demand for Vision-Based Protection
  • 4.2.6 Safety Data Integration With Industrial Automation Platforms
• 4.3 Market Restraints
  • 4.3.1 High Functional Safety Validation and Certification Costs
  • 4.3.2 Integration Complexity Across Legacy Robot Controllers and Safety PLCs
  • 4.3.3 Performance Degradation Under Low-Light, Occlusion, and Contamination Conditions
  • 4.3.4 Limited Availability of Safety-Validated Industrial AI Training Data
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Supply Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Suppliers
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Safety Function
  • 5.1.1 Human Presence Detection
  • 5.1.2 Speed and Separation Monitoring (SSM)
  • 5.1.3 Safety Zone / Intrusion Detection
  • 5.1.4 Collision / Proximity Detection
  • 5.1.5 Safe Navigation and Path Monitoring
  • 5.1.6 Other Safety Functions
• 5.2 By Vision Technology
  • 5.2.1 2D Safety Vision
  • 5.2.2 3D Stereo Vision
  • 5.2.3 Structured-Light 3D Vision
  • 5.2.4 Time-of-Flight (ToF)
  • 5.2.5 AI / Deep-Learning Vision
  • 5.2.6 Other Vision Technologies
• 5.3 By Robot Type
  • 5.3.1 Industrial Robots
  • 5.3.2 Collaborative Robots (Cobots)
  • 5.3.3 Mobile Robots (AMRs/AGVs)
  • 5.3.4 Industrial Mobile Manipulators
  • 5.3.5 Other Robot Types
• 5.4 By End-User Industry
  • 5.4.1 Automotive and Mobility
  • 5.4.2 Electronics and Semiconductors
  • 5.4.3 General Manufacturing
  • 5.4.4 Food and Beverage
  • 5.4.5 Pharmaceutical and Medical Devices
  • 5.4.6 Logistics and Warehousing
  • 5.4.7 Aerospace and Defense
  • 5.4.8 Other End-User Industries
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 India
    • 5.5.4.4 South Korea
    • 5.5.4.5 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Turkey
      • 5.5.5.1.4 Rest of the Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Balluff GmbH
  • 6.4.2 Banner Engineering Corp.
  • 6.4.3 Basler AG
  • 6.4.4 Cognex Corporation
  • 6.4.5 DENSO CORPORATION
  • 6.4.6 FANUC CORPORATION
  • 6.4.7 Hans TURCK GmbH & Co. KG
  • 6.4.8 Hokuyo Automatic Co., Ltd.
  • 6.4.9 IDEC Corporation
  • 6.4.10 ifm electronic GmbH
  • 6.4.11 KEYENCE CORPORATION
  • 6.4.12 KUKA AG
  • 6.4.13 Leuze electronic GmbH + Co. KG
  • 6.4.14 OMRON Corporation
  • 6.4.15 Panasonic Holdings Corporation
  • 6.4.16 Pepperl+Fuchs SE
  • 6.4.17 Pilz GmbH & Co. KG
  • 6.4.18 Rockwell Automation, Inc.
  • 6.4.19 SICK AG
  • 6.4.20 Schneider Electric SE
  • 6.4.21 Teledyne Technologies Incorporated
  • 6.4.22 Universal Robots A/S
  • 6.4.23 Yaskawa Electric Corporation

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment