스마트 팩토리 시각 시스템 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the smart factory vision systems market size was valued at USD 19.28 billion in 2025 and estimated to grow from USD 21.13 billion in 2026 to reach USD 34.33 billion by 2031, at a CAGR of 10.19% during the forecast period (2026-2031).

Global Smart Factory Vision Systems Market Trends and Insights

Deep Learning Accuracy in Defect Detection

Deep learning has become more suitable for factory inspection, where defect patterns vary by shape, surface, or product design. Hybrid CNN-transformer models performed better than pure CNN models by 2.8 to 12.6 percentage points in complex defect tasks in a 2026 review. The findings covered defects such as irregular cracks, semiconductor failures, and electrode pinholes. This capability gives manufacturers a stronger reason to use the Smart Factory Vision Systems Market for tasks that rule-based inspection cannot handle consistently. Human review remains important for unclear cases, supporting hybrid inspection cells rather than complete labor replacement. Suppliers that offer model training and continuous improvement tools are better placed to support these operating models.

Expansion of EV Battery and Semiconductor Manufacturing

Electric vehicle battery and semiconductor facilities need more inspection steps than many conventional production lines. The International Federation of Robotics reported 590,000 industrial robot installations worldwide in 2024, and Asia accounted for 70% of new installations. Robot cells often need vision guidance for picking, placement, and assembly checks. Semiconductor manufacturing also requires close inspection of wafers, coatings, and packaging. The European Chips Act has directed EUR 43 billion of public and private policy support toward European semiconductor capacity. These investments broaden the Smart Factory Vision Systems Market opportunity for suppliers capable of meeting semiconductor qualification and repeatability requirements.

High Implementation and Integration Costs

A production-grade vision installation requires more than cameras and software. Costs can include lighting design, lens selection, fixtures, communications mapping, and validation for existing PLC and manufacturing execution systems. Food, beverage, and pharmaceutical sites may require additional design work due to hygiene, ingress protection, and product changeover requirements. Safety and recordkeeping requirements can also add documentation and extend installation periods. These costs are difficult for smaller manufacturers that do not employ dedicated machine vision teams. Simpler platforms such as Cognex In-Sight SnAPP sensors and SICK Inspector83x systems are therefore relevant to the Smart Factory Vision Systems Market because they reduce setup complexity.

Other drivers and restraints analyzed in the detailed report include:

1. Declining Edge AI Hardware Costs
2. Labor Shortages in Quality Inspection Roles
3. Shortage of Skilled Vision-System Integrators

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

Segment Analysis

Hardware held 70.34% of the Smart Factory Vision Systems Market share in 2025. The category includes cameras, optics, frame grabbers, processors, and edge AI accelerators. Cameras remained the largest hardware subcategory because every system requires image capture. Processors and edge accelerators are growing in popularity as manufacturers add inference capabilities to installed camera platforms. Software is projected to grow at an 11.45% CAGR from 2026 to 2031, faster than the overall Smart Factory Vision Systems Market. This growth reflects increasing demand for image processing, deep learning tools, and integration middleware.

Cognex made OneVision generally available in 2025 after a beta launch in June 2025. More than 100 customers used the platform during its beta period for centralized model training and cross-site edge deployment. Software can help manufacturers update inspection models across multiple plants without replacing all camera hardware. Traditional image processing continues to compete on predictable output and license cost. AI tools command attention, but users also need annotation, model version control, synthetic data, and deployment management. Integration software is also gaining importance because camera output must connect with PLC, MES, and SCADA systems. The Smart Factory Vision Systems industry is therefore shifting part of its value toward software support that extends beyond the initial hardware sale.

2D vision systems held 63.78% of the Smart Factory Vision Systems Market share in 2025. They remain widely used for flat-surface inspection, barcode reading, and label verification. Their installed base, broad application range, and cost profile support their continuing lead. 3D vision systems are forecast to grow at an 11.91% CAGR through 2031. Battery cell inspection needs depth data for electrode alignment that conventional 2D images cannot resolve. Robotic bin-picking also uses 3D point clouds to identify the position and orientation of parts.

LMI Technologies acquired Liberty Robotics in August 2024 to combine 3D vision with robot guidance capabilities for automotive, packaging, and logistics applications. Multispectral and hyperspectral systems are used for selected applications in pharmaceutical coating checks, semiconductor thin-film mapping, and food foreign-body detection. Thermal and infrared systems focus on temperature-related inspection, including soldering defects, bearing overheating, and cold-chain verification. Teledyne FLIR IIS launched its Forge 1GigE SWIR camera series in August 2024 for industrial inspection, environmental monitoring, and recycling classification. These systems can distinguish materials that look similar in visible light. The Smart Factory Vision Systems Market is consequently expanding into applications that require depth, thermal, or spectral information alongside standard images.

Complete Report Scope:

• By Component
  • Hardware
    • Cameras
    • Optics and Lenses
    • Frame Grabbers
    • Processors and Edge AI Accelerators
    • Other Hardware
  • Software
    • Image Processing Software
    • Deep Learning and Artificial Intelligence Software
    • Vision System Integration Software
    • Other Software
• By Vision System Type
  • 2D Vision Systems
  • 3D Vision Systems
  • Multispectral / Hyperspectral Vision Systems
  • Thermal / Infrared Vision Systems
  • Other Vision Systems
• By Deployment Mode
  • Edge-Based
  • On-Premises
  • Cloud-Connected
  • Hybrid
• By Application
  • Quality Inspection and Defect Detection
  • Measurement and Metrology
  • Identification, OCR, and Code Reading
  • Positioning, Guidance, and Robotics
  • Process Monitoring and Control
  • Other Applications
• By End-User Industry
  • Automotive and Automotive Components
  • Electronics and Semiconductors
  • Food and Beverage
  • Pharmaceuticals and Life Sciences
  • Consumer Goods
  • Industrial Machinery and Equipment
  • Metals and Manufacturing
  • 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
      • Rest of the Middle East
    • Africa
      • South Africa
      • Rest of Africa

Geography Analysis

Asia-Pacific held 34.21% of the Smart Factory Vision Systems Market share in 2025 and is forecast to grow at an 11.56% CAGR through 2031. China is the largest national market in the region, supported by domestic suppliers of edge cameras and image processing software. Japanese and South Korean manufacturers retain importance in high-precision optics and imaging sensors. Mitsubishi Electric and Sony Semiconductor Solutions agreed in July 2026 to establish Advanced Vision Solutions in Japan, bringing together expertise in factory automation control, image sensors, and edge AI technology. India's Production Linked Incentive program is supporting new electronics manufacturing capacity, which creates greenfield opportunities for vision deployment. These conditions reinforce Asia-Pacific's role in the Smart Factory Vision Systems Market.

North America is supported by automotive assembly, semiconductor inspection, and logistics automation. The U.S. CHIPS and Science Act has encouraged investment in facilities where 2D and 3D vision systems can be specified at the design stage. Cognex reported USD 268 million in first-quarter 2026 revenue, a 24% year-over-year increase, and cited strength in consumer electronics and automotive end markets. Canada and Mexico are linked to the region's automotive supply chain and follow original equipment manufacturer capacity decisions. Demand often centers on high-specification systems for wafer, vehicle, and warehouse applications. The Smart Factory Vision Systems Market in North America is, therefore, closely tied to capital investment cycles in these sectors.

Europe is shaped by advanced industrial automation and stricter documentation requirements. Germany is the leading European market and is home to Basler, IDS Imaging Development Systems, and MVTec Software. The European Union's AI rules add emphasis on training data, validation, and software documentation for certain regulated applications. These requirements can favor suppliers that provide consistent records across cameras, software, and connected equipment. South America, the Middle East, and Africa remain earlier-stage areas where adoption is concentrated in food processing, mining, logistics, and investment-led industrial projects. Brazil's Sao Paulo automotive cluster and Abu Dhabi's industrial programs offer established demand corridors.

1. Cognex Corporation
2. KEYENCE CORPORATION
3. Basler AG
4. Teledyne Technologies Incorporated
5. SICK AG
6. Allied Vision Technologies GmbH
7. IDS Imaging Development Systems GmbH
8. JAI A/S
9. LMI Technologies Inc.
10. Datalogic S.p.A.
11. Baumer Holding AG
12. Euresys S.A.
13. Photonfocus AG
14. Chromasens GmbH
15. Vieworks Co., Ltd.
16. Zivid AS
17. Photoneo s.r.o.
18. SPECIM Spectral Imaging Ltd.
19. Vision Components GmbH
20. Emergent Vision Technologies Inc.
21. Adimec Electronic Imaging B.V.
22. Imperx, Inc.
23. LUCID Vision Labs Inc.
24. FLIR Systems, 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 Deep Learning Accuracy in Defect Detection
  • 4.2.2 Expansion of EV Battery and Semiconductor Manufacturing
  • 4.2.3 Declining Edge AI Hardware Costs
  • 4.2.4 Labor Shortages in Quality Inspection Roles
  • 4.2.5 Vision-Guided Robotics Adoption
  • 4.2.6 Traceability Requirements in Food, Pharmaceutical, and Medical Manufacturing
• 4.3 Market Restraints
  • 4.3.1 High Implementation and Integration Costs
  • 4.3.2 Shortage of Skilled Vision-System Integrators
  • 4.3.3 Cybersecurity Risks in Connected Vision Systems
  • 4.3.4 Training-Data, Model-Validation, and Model-Drift Burden
• 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 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Hardware
    • 5.1.1.1 Cameras
    • 5.1.1.2 Optics and Lenses
    • 5.1.1.3 Frame Grabbers
    • 5.1.1.4 Processors and Edge AI Accelerators
    • 5.1.1.5 Other Hardware
  • 5.1.2 Software
    • 5.1.2.1 Image Processing Software
    • 5.1.2.2 Deep Learning and Artificial Intelligence Software
    • 5.1.2.3 Vision System Integration Software
    • 5.1.2.4 Other Software
• 5.2 By Vision System Type
  • 5.2.1 2D Vision Systems
  • 5.2.2 3D Vision Systems
  • 5.2.3 Multispectral / Hyperspectral Vision Systems
  • 5.2.4 Thermal / Infrared Vision Systems
  • 5.2.5 Other Vision Systems
• 5.3 By Deployment Mode
  • 5.3.1 Edge-Based
  • 5.3.2 On-Premises
  • 5.3.3 Cloud-Connected
  • 5.3.4 Hybrid
• 5.4 By Application
  • 5.4.1 Quality Inspection and Defect Detection
  • 5.4.2 Measurement and Metrology
  • 5.4.3 Identification, OCR, and Code Reading
  • 5.4.4 Positioning, Guidance, and Robotics
  • 5.4.5 Process Monitoring and Control
  • 5.4.6 Other Applications
• 5.5 By End-User Industry
  • 5.5.1 Automotive and Automotive Components
  • 5.5.2 Electronics and Semiconductors
  • 5.5.3 Food and Beverage
  • 5.5.4 Pharmaceuticals and Life Sciences
  • 5.5.5 Consumer Goods
  • 5.5.6 Industrial Machinery and Equipment
  • 5.5.7 Metals and Manufacturing
  • 5.5.8 Other End-User Industries
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 Saudi Arabia
      • 5.6.5.1.2 United Arab Emirates
      • 5.6.5.1.3 Rest of the Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 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 Cognex Corporation
  • 6.4.2 KEYENCE CORPORATION
  • 6.4.3 Basler AG
  • 6.4.4 Teledyne Technologies Incorporated
  • 6.4.5 SICK AG
  • 6.4.6 Allied Vision Technologies GmbH
  • 6.4.7 IDS Imaging Development Systems GmbH
  • 6.4.8 JAI A/S
  • 6.4.9 LMI Technologies Inc.
  • 6.4.10 Datalogic S.p.A.
  • 6.4.11 Baumer Holding AG
  • 6.4.12 Euresys S.A.
  • 6.4.13 Photonfocus AG
  • 6.4.14 Chromasens GmbH
  • 6.4.15 Vieworks Co., Ltd.
  • 6.4.16 Zivid AS
  • 6.4.17 Photoneo s.r.o.
  • 6.4.18 SPECIM Spectral Imaging Ltd.
  • 6.4.19 Vision Components GmbH
  • 6.4.20 Emergent Vision Technologies Inc.
  • 6.4.21 Adimec Electronic Imaging B.V.
  • 6.4.22 Imperx, Inc.
  • 6.4.23 LUCID Vision Labs Inc.
  • 6.4.24 FLIR Systems, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment