비전 유도형 페인팅 로봇 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the vision-guided painting robots market size was valued at USD 1.75 billion in 2025 and estimated to expand from USD 1.91 billion in 2026 to reach USD 3.31 billion by 2031, at a CAGR of 11.62% during the forecast period (2026-2031).

Global Vision-Guided Painting Robots Market Trends and Insights

Increasing Automation in High-Volume Manufacturing

High-volume manufacturing requires stable coating cycles across multiple shifts and production days, especially where the cost of an inconsistent finish can include rework, material loss, and disruption to scheduled output. The International Federation of Robotics reported 542,000 industrial robot installations worldwide in 2024, the second-highest annual total recorded. Asia accounted for 74% of those installations, and the operating stock reached 4,664,000 units, underscoring the scale of the installed industrial base that supports suppliers of robotic application equipment. Electronics accounted for 24% of global installations in 2024, while automotive accounted for 23%, which broadens the base for automated coating equipment beyond the sector historically associated with paint robots. ABB installed 47 paint robots and its AI-enabled Digital Painting Suite at Audi FAW's Changchun electric vehicle plant in 2025. The Vision-guided painting robots market benefits when new factories specify vision, analytics, multi-axis equipment, and coordinated process control as one integrated production system.

Consistent Coating Quality and Lower Overspray

Premium vehicle and electronics producers require consistent coatings on visible and complex surfaces, where even small variations in the finish can affect acceptance rates and create additional work for operators. ABB stated that its PixelPaint system uses a 1,000-nozzle head with 3D vision guidance and achieves 100% paint-to-surface transfer with zero overspray. The system was deployed at Mercedes-Benz's Sindelfingen plant, Stellantis' Melfi plant, and Mahindra and Mahindra's electric vehicle facility in 2025. These deployments allow dual-tone finishes to be applied in line without masking work, which removes a manual step from premium-finish programs. ABB reported that 42 IRB 5500-family robots began operating at Mahindra and Mahindra's facility with RB1000i-S atomizers. The Vision-guided painting robots market gains where finishing quality, paint savings, and product personalization must be delivered at production speed without adding a separate coating pass.

High Capital and Integration Costs

A complete vision-guided painting cell requires spending on robots, application equipment, safety hardware, controls, and commissioning. The cost is more difficult to justify for small and mid-sized manufacturers with low volumes or uneven orders. Existing facilities can also use conveyors, ovens, and inspection equipment from several generations of suppliers. That diversity increases the work needed to connect a new robotic cell to the production line. The Vision-guided painting robots market may see delayed purchases when buyers need to align capital budgets with facility upgrades. Lower-cost turnkey cells may widen access, but buyers still weigh local service support and long-term maintenance capability.

Other drivers and restraints analyzed in the detailed report include:

1. Electric Vehicle and Battery Manufacturing Expansion
2. Stricter Worker Safety and VOC Requirements
3. Shortage of Robotics and Paint-Process Programming Skills

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

Segment Analysis

Articulated robots held 62.33% of the Vision-guided painting robots market share in 2025. Their six-axis and seven-axis configurations provide the reach and wrist movement needed for door recesses, underbody panels, engine-bay surfaces, and other areas with restricted access. Their established position also reflects the need for stable, repeatable motion on high-volume automotive lines. Durr presented the EcoRP4 in May 2026, featuring an asymmetric process arm that shifts the applicator center by more than 200 mm from the main axis. This geometry improves access to door rebates and interior zones that earlier designs could not reliably serve. The unit supports floor, tower, and linear-rail mounting, which gives plant designers options for new and existing lines. Articulated platforms can also support multiple applicator configurations within an integrated paint-shop layout.

Collaborative robots are projected to expand at a 15.67% CAGR through 2031. Their force-sensing design can support deployment in existing manual paint booths without dedicated guarding for suitable tasks. FANUC introduced the CRX-10iA/L Paint at Global Industrie in Lyon during March 2025. Hirebotics paired this hardware with its no-code Beacon platform for metal fabricators in June 2026. Explosion-proof cobots with integrated vision can lower the minimum production volume needed to support automation. Cartesian and gantry robots remain relevant for oversized aerospace and construction components, while SCARA robots support compact, high-speed electronics applications. ISO 10218-1 and ISO/TS 15066 safety frameworks continue to guide specifications for collaborative work cells.

2D vision systems held 52.67% share of the Vision-guided painting robots market in 2025. Their leading position reflects lower cost, fast processing, and suitability for flat or near-flat automotive surfaces. Many installed production lines use 2D cameras because they were designed around established reference geometry and stable part presentation. These systems can have difficulty with reflective, wet metal surfaces, overlapping transparent layers, and curved-edge detection on contoured panels. Such limits become more relevant as manufacturers introduce more varied vehicle and product designs. 3D vision systems provide structured surface mapping where depth information is needed without the full overhead of a multimodal system. They therefore occupy a useful middle position between baseline cameras and integrated sensor-fusion systems.

Multimodal vision is projected to expand at a 16.89% CAGR through 2031. It combines 2D camera data, structured-light depth sensing, and AI-based scene interpretation into a single perception system. This arrangement can create real-time workpiece models and spray paths without relying solely on programmed reference geometry. An IEEE IROS 2025 study found that contrastive multimodal fusion outperformed standalone 2D systems for color-sensitive robotic manipulation accuracy. ABB used 3D vision systems across 42 IRB 5500 robots at Mahindra and Mahindra's electric vehicle facility. This capability is relevant for aerospace, marine, and specialized production, where batch sizes can make extensive manual programming impractical. Safety requirements near personnel can also encourage multi-layer sensing in collaborative cells.

Complete Report Scope:

• By Robot Type
  • Articulated Robots
  • Collaborative Robots
  • Cartesian / Gantry Robots
  • SCARA Robots
  • Other Robot Types
• By Vision Technology
  • 2D Vision Systems
  • 3D Vision Systems
  • Multimodal Vision Systems
• By Function
  • Part and Surface Detection and Localization
  • 3D Surface Mapping and Profiling
  • Adaptive Paint-Path Generation
  • Real-Time Path / Trajectory Correction
  • Spray Distance and Angle Optimization
  • Paint Coverage / Thickness Feedback
  • Other Functions
• By Paint / Coating Process
  • Liquid Spray Painting
  • Powder Coating
  • Electrostatic Painting / Coating
  • Sealant and Adhesive Application
  • Specialty / Decorative Coating
• By Application
  • Interior Surface Painting
  • Exterior Surface Painting
  • Complex-Geometry / Contoured Surface Painting
  • Small-Part / Precision Painting
  • Large-Component Painting
  • Other Applications
• By End-User Industry
  • Automotive and Electric Vehicles
  • Aerospace and Defense
  • Industrial Machinery and Metal Fabrication
  • Electrical and Electronics
  • Consumer Appliances
  • Furniture and Wood Products
  • Construction Equipment and Infrastructure
  • Marine and Shipbuilding
  • 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
    • ASEAN
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of the Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

Asia-Pacific accounted for 37.51% of the Vision-guided painting robots market in 2025 and is projected to grow at a 14.11% CAGR through 2031. China recorded 295,000 industrial robot installations in 2024, equal to 54% of global deployments. Domestic manufacturers held 57% of China's robot market in 2024, compared with 28% a decade earlier. India installed a record 9,100 industrial robots in 2024, up 7%, with automotive accounting for 45% of demand. Suzuki deployed 120 robots at its Kosai paint facility in 2025 and reported more than 50% automation with a 30% reduction in direct labor.

North America is supported by automotive production in the United States and Mexico, as well as by the reshoring of electronics and defense components. The United States recorded 34,200 robot installations in 2024. Hirebotics launched a no-code, explosion-proof cobot painting solution in June 2026 for high-mix, low-volume metal fabricators. Europe recorded 85,000 robot installations in 2024, down 8%, while Germany recorded 26,982 installations, down 5%. Durr contracted with Volkswagen Autoeuropa in June 2026 to build a CO2-efficient paint shop in Palmela, Portugal, with high-transfer-efficiency atomizers and a shared DXQ SCADA environment across 3 facilities. Europe retains demand for certified systems due to ATEX and industrial emissions requirements.

South America remains an early-stage opportunity anchored by Brazil's automotive base and Argentina's metal fabrication sector. Access to financing and integration skills remain key limitations to adoption in this region. The Middle East is developing as a greenfield location for advanced paint automation. Durr installed its modular paint-shop concept for CEER at King Abdullah Economic City in Saudi Arabia in January 2026. Durr had established Durr Systems Arabia LLC in Jeddah in the autumn of 2024 to support regional service continuity. Africa remains at an earlier stage, with South Africa's automotive clusters providing the main demand base and certified systems meeting requirements referenced in Gulf project specifications.

1. ABB Ltd.
2. FANUC CORPORATION
3. YASKAWA ELECTRIC CORPORATION
4. KUKA AG
5. Kawasaki Heavy Industries, Ltd.
6. Durr AG
7. CMA Robotics S.p.A.
8. Staubli International AG
9. Epistolio S.r.l.
10. Krautzberger GmbH
11. Gaiotto Automation S.p.A.
12. Comau S.p.A.
13. Seiko Epson Corporation
14. Omron Corporation
15. Nachi-Fujikoshi Corporation
16. Teradyne, Inc.
17. Siasun Robot and Automation Co., Ltd.
18. Mitsubishi Electric Corporation
19. Denso Corporation
20. Rockwell Automation, Inc.
21. Bosch Rexroth AG
22. Techman Robot, Inc.

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 Increasing Automation in High-Volume Manufacturing
  • 4.2.2 Rising Demand for Consistent Coating Quality and Reduced Overspray
  • 4.2.3 Expansion of Electric Vehicle and Battery Manufacturing
  • 4.2.4 Stricter Worker-Safety and VOC-Emission Requirements
  • 4.2.5 Vision-Based Adaptive Spraying for Complex Geometries
  • 4.2.6 Lower-Cost Robotic Cells for Small and Mid-Sized Manufacturers
• 4.3 Market Restraints
  • 4.3.1 High Capital and Integration Costs
  • 4.3.2 Shortage of Robotics and Paint-Process Programming Skills
  • 4.3.3 Vision-System Reliability Under Paint Booth Contamination
  • 4.3.4 Limited Training Data for Novel Parts and Low-Volume Production
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value 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 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Robot Type
  • 5.1.1 Articulated Robots
  • 5.1.2 Collaborative Robots
  • 5.1.3 Cartesian / Gantry Robots
  • 5.1.4 SCARA Robots
  • 5.1.5 Other Robot Types
• 5.2 By Vision Technology
  • 5.2.1 2D Vision Systems
  • 5.2.2 3D Vision Systems
  • 5.2.3 Multimodal Vision Systems
• 5.3 By Function
  • 5.3.1 Part and Surface Detection and Localization
  • 5.3.2 3D Surface Mapping and Profiling
  • 5.3.3 Adaptive Paint-Path Generation
  • 5.3.4 Real-Time Path / Trajectory Correction
  • 5.3.5 Spray Distance and Angle Optimization
  • 5.3.6 Paint Coverage / Thickness Feedback
  • 5.3.7 Other Functions
• 5.4 By Paint / Coating Process
  • 5.4.1 Liquid Spray Painting
  • 5.4.2 Powder Coating
  • 5.4.3 Electrostatic Painting / Coating
  • 5.4.4 Sealant and Adhesive Application
  • 5.4.5 Specialty / Decorative Coating
• 5.5 By Application
  • 5.5.1 Interior Surface Painting
  • 5.5.2 Exterior Surface Painting
  • 5.5.3 Complex-Geometry / Contoured Surface Painting
  • 5.5.4 Small-Part / Precision Painting
  • 5.5.5 Large-Component Painting
  • 5.5.6 Other Applications
• 5.6 By End-User Industry
  • 5.6.1 Automotive and Electric Vehicles
  • 5.6.2 Aerospace and Defense
  • 5.6.3 Industrial Machinery and Metal Fabrication
  • 5.6.4 Electrical and Electronics
  • 5.6.5 Consumer Appliances
  • 5.6.6 Furniture and Wood Products
  • 5.6.7 Construction Equipment and Infrastructure
  • 5.6.8 Marine and Shipbuilding
  • 5.6.9 Other End-User Industries
• 5.7 By Geography
  • 5.7.1 North America
    • 5.7.1.1 United States
    • 5.7.1.2 Canada
    • 5.7.1.3 Mexico
  • 5.7.2 South America
    • 5.7.2.1 Brazil
    • 5.7.2.2 Argentina
    • 5.7.2.3 Rest of South America
  • 5.7.3 Europe
    • 5.7.3.1 Germany
    • 5.7.3.2 United Kingdom
    • 5.7.3.3 France
    • 5.7.3.4 Italy
    • 5.7.3.5 Spain
    • 5.7.3.6 Rest of Europe
  • 5.7.4 Asia-Pacific
    • 5.7.4.1 China
    • 5.7.4.2 Japan
    • 5.7.4.3 India
    • 5.7.4.4 South Korea
    • 5.7.4.5 ASEAN
    • 5.7.4.6 Rest of Asia-Pacific
  • 5.7.5 Middle East and Africa
    • 5.7.5.1 Middle East
      • 5.7.5.1.1 Saudi Arabia
      • 5.7.5.1.2 United Arab Emirates
      • 5.7.5.1.3 Rest of the Middle East
    • 5.7.5.2 Africa
      • 5.7.5.2.1 South Africa
      • 5.7.5.2.2 Nigeria
      • 5.7.5.2.3 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 ABB Ltd.
  • 6.4.2 FANUC CORPORATION
  • 6.4.3 YASKAWA ELECTRIC CORPORATION
  • 6.4.4 KUKA AG
  • 6.4.5 Kawasaki Heavy Industries, Ltd.
  • 6.4.6 Durr AG
  • 6.4.7 CMA Robotics S.p.A.
  • 6.4.8 Staubli International AG
  • 6.4.9 Epistolio S.r.l.
  • 6.4.10 Krautzberger GmbH
  • 6.4.11 Gaiotto Automation S.p.A.
  • 6.4.12 Comau S.p.A.
  • 6.4.13 Seiko Epson Corporation
  • 6.4.14 Omron Corporation
  • 6.4.15 Nachi-Fujikoshi Corporation
  • 6.4.16 Teradyne, Inc.
  • 6.4.17 Siasun Robot and Automation Co., Ltd.
  • 6.4.18 Mitsubishi Electric Corporation
  • 6.4.19 Denso Corporation
  • 6.4.20 Rockwell Automation, Inc.
  • 6.4.21 Bosch Rexroth AG
  • 6.4.22 Techman Robot, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment