보안용 이미지 센서 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the image sensor for security application market size was valued at USD 3.44 billion in 2025 and estimated to grow from USD 3.73 billion in 2026 to reach USD 5.55 billion by 2031, at a CAGR of 8.32% during the forecast period (2026-2031).

This report is Segmented by Application (Home Security Cameras, and More), Technology (CCD Image Sensors, and More), Spectrum (Visible Spectrum Sensors, and More), Processing Type (2D Image Sensors, 3D/Time-of-Flight Image Sensors, and More), End-Use Sector (Residential, Critical Infrastructure, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Image Sensor For Security Application Market Trends and Insights

Growing Demand From Smart Cities

Smart-city programs in Riyadh, Dubai, Shenzhen, and Hyderabad each deploy camera densities exceeding 1,000 nodes per square kilometer, creating a throughput burden that only sensors with on-chip inference and embedded DRAM can manage effectively. Saudi Arabia's NEOM project alone awarded contracts in 2024 for 50 000 AI-ready cameras capable of real-time crowd-flow analysis across 26 500 km2. These rollouts prioritize stacked CMOS architectures because DRAM layers buffer 4K streams at 60 fps without off-sensor memory, slashing backhaul bandwidth by 70%. India's Smart Cities Mission has budgeted INR 480 billion (USD 5.8 billion) through 2024, and procurement guidelines earmark up to 22% of project spending for sensors, thereby establishing a vast addressable base. In all markets, data-sovereignty rules drive architects toward encrypted on-die storage, ensuring that biometric footage never crosses borders.

Integration of AI-Powered Video Analytics at the Edge

Moving inference from the cloud to the camera reduces detection latency from 800 ms to under 50 ms, which is vital for perimeters where intruders can cross critical distances in seconds. Sony's IMX500 sensor showcases the model, executing MobileNet and EfficientNet at 12 fps on less than 1 W and enabling battery-powered units to run 18 months on a single charge. The design shift realigns market power: sensor vendors now partner with AI software firms to deliver turnkey stacks, and camera OEMs differentiate on model libraries rather than megapixels. Compliance frameworks such as the European Union AI Act require embedded inference metadata logs and secure over-air firmware, which further cements value in the silicon rather than the server.

High Manufacturing Costs of Large-Chip Image Sensors

Die sizes beyond 12 mm by 12 mm often see yields under 60% on 300 mm wafers, pushing unit costs above USD 40 and making price-sensitive deployments infeasible. Stacked architectures add USD 8 to USD 15 in packaging, so the return on investment becomes defensible only when edge AI or ultra-high frame rates are mandatory. Sony and Tower command most of the stacked capacity, and both prioritize higher-margin handset and automotive customers, leaving security buyers in a queue that stretches past 26 weeks in peak quarters. Integrators, therefore, revisit smaller die options or even CCD designs for niche low-light needs, demonstrating how manufacturing economics ripple through solution design.

Other drivers and restraints analyzed in the detailed report include:

1. Proliferation of IoT-Enabled Home Security Cameras
2. Regulatory Mandates for Public Safety Camera Installations
3. Increasing Concerns Over Data Privacy and Surveillance Regulations

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

Segment Analysis

Defense and border surveillance orders, while smaller in unit volume, add premium value to the image sensor for security application market because procurement favors thermal and SWIR models with pricing multiples of three to five times commercial CMOS. The segment is forecast to post an 11.05% CAGR, the fastest among all application verticals, reflecting heightened tensions in Eastern Europe, the South China Sea, and the Middle East. Commercial surveillance, which owned 45.98% of the image sensor for security application market share in 2025, continues to dominate shopping malls, logistics hubs, and corporate campuses but is maturing in North America and Europe as saturation nears. Home security grew briskly in 2024, supported by subscription economics that subsidize hardware and add recurring revenue streams, and it remains a vital feeder for new edge-AI features. Infrastructure and traffic monitoring represents a balanced, medium-growth pocket: intelligent transportation systems in Singapore, Tokyo, and Dubai now require 4-MP resolution with wide dynamic range to register plates in glare and at night.

The defense sub-segment's performance also reflects technology cross-pollination: uncooled microbolometer arrays and InGaAs focal-plane devices trickling from aerospace into ground-based applications. Contracts from the U.S. Department of Defense worth USD 340 million in 2024 channel demand toward domestically fabricated sensors, locking in secure supply chains. Commercial buyers, by contrast, lean on image sensors with embedded neural accelerators that lower false alarms by as much as 80%, saving significant labor in monitoring centers. These architectures increase the average selling price but reduce the total cost of ownership. The emerging migration pattern is clear: advanced capabilities debut in defense, cascade into critical infrastructure, and finally arrive in residential devices as cost curves bend.

CMOS captured an overwhelming 91.62% of the image sensor for security application market size in 2025 and still records healthy unit growth because silicon scaling keeps reducing cost per pixel. Yet the same strength hides cracks. InGaAs shortwave infrared devices, though accounting for a single-digit share, are expanding at 9.28% CAGR as border agencies specify covert night-vision options. CCD, once the incumbent, declined 12% in shipments during 2024 but refuses to exit entirely; its superior quantum efficiency underpins persistent demand from scientific surveillance where quantum-limited detection is essential. Quantum-dot overlays on CMOS wafers debut as an economic challenger to InGaAs, offering 40% to 60% lower unit cost albeit at reduced sensitivity.

Teledyne ramped InGaAs capacity by 30% in 2024 after acquiring a Tower Semiconductor 300 mm line, signaling confidence in defense requirements. Meanwhile, stacked CMOS continues to attract R&D efforts because its logic-pixel separation enables both high resolution and integrated AI. The persistent wafer shortage pushes many mid-tier integrators back toward 200 mm flows, balancing cost, availability, and performance. As foundries bring 300 mm lines online for CMOS image sensors in 2026, the trade-off gap may close, but until then niche disruptions hold strategic relevance. The net result is that while CMOS remains dominant, buyer diversification into specialty technologies will raise the competitive stakes for incumbents.

Complete Report Scope:

• By Application
  • Home Security Cameras
  • Commercial Surveillance Cameras
  • Infrastructure and Traffic Cameras
  • Defense and Border Surveillance Cameras
• By Technology
  • CMOS Image Sensors
  • CCD Image Sensors
  • Emerging Technologies (e.g., InGaAs, SWIR)
• By Spectrum
  • Visible Spectrum Sensors
  • Infrared and Near-Infrared Sensors
  • Thermal Sensors
  • Multispectral and Hyperspectral Sensors
• By Processing Type
  • 2D Image Sensors
  • 3D/Time-of-Flight Image Sensors
  • AI-Enabled On-Chip Image Sensors
  • Neuromorphic Event-Based Sensors
• By End-Use Sector
  • Residential
  • Commercial and Industrial
  • Critical Infrastructure
  • Government and Law Enforcement
  • Defense and Military
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Egypt
      • Rest of Africa
  • South America
    • Brazil
    • Argentina
    • Rest of South America

Geography Analysis

Asia Pacific dominated with 42.05% share of the image sensor for security application market in 2025, underpinned by China's vast social-credit camera network that topped 700 million units and India's Safe City Mission funding of INR 480 billion (USD 5.8 billion). Domestic suppliers such as GalaxyCore and SmartSens leverage cost advantages, pricing 5-MP sensors at USD 6 to USD 8 and taking share from incumbents. Japan and South Korea focus on AI-enhanced elder-care deployments: Tokyo's 2024 tender for 15,000 fall-detection cameras sets a template for super-aging societies.

The Middle East clocks the fastest growth at 10.42% CAGR, propelled by mega-projects like Saudi Arabia's NEOM and Dubai's Smart City scheme, both mandating AI analytics and on-die encryption to observe strict data-localization rules. Israel and Turkey expand defense purchases for thermal and SWIR kits aimed at border surveillance, while Gulf Cooperation Council states issue tenders linking camera density to facility risk ratings. The climate, characterized by dust, heat, and low-contrast night scenes, favors stacked CMOS and InGaAs options, adding premium value to regional orders. North America and Europe jointly represented 37.55% of 2025 revenue but show slower gains because privacy litigation lengthens procurement cycles. The U.S. lacks a federal privacy law, yet California's Delete Act and Illinois' BIPA raise compliance costs per site by USD 50,000 to USD 200,000. European buyers now lean toward edge-only deployments to skirt GDPR penalties, suspending centralized facial recognition in multiple cities. That said, defense and critical-infrastructure projects remain vibrant: the U.S. Department of Homeland Security awarded USD 420 million for border systems in 2024, and the EU's NIS2 directive underpins airport analytics spending.

1. Sony Semiconductor Solutions Corporation
2. Samsung Electronics Co., Ltd.
3. OmniVision Technologies, Inc.
4. ON Semiconductor Corporation
5. STMicroelectronics N.V.
6. GalaxyCore Shanghai Limited Corporation
7. SmartSens Technology (Shanghai) Co., Ltd.
8. SK hynix Inc.
9. Canon Inc.
10. Panasonic Holdings Corporation
11. Toshiba Electronic Devices & Storage Corporation
12. PixArt Imaging Inc.
13. Hamamatsu Photonics K.K.
14. Teledyne Technologies Incorporated
15. ams-OSRAM AG
16. Himax Technologies, Inc.
17. Teledyne e2v Semiconductors SAS
18. Gpixel Inc.
19. Tower Semiconductor Ltd.
20. Forza Silicon 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 Growing Demand from Smart Cities
  • 4.2.2 Integration of AI-Powered Video Analytics at the Edge
  • 4.2.3 Proliferation of IoT-Enabled Home Security Cameras
  • 4.2.4 Regulatory Mandates for Public Safety Camera Installations
  • 4.2.5 Adoption of Event-Based Neuromorphic Image Sensors for Low-Power Surveillance
  • 4.2.6 Growth of SWIR and Multispectral Sensors for Covert Night Surveillance
• 4.3 Market Restraints
  • 4.3.1 High Manufacturing Costs of Large-Chip Image Sensors
  • 4.3.2 Increasing Concerns over Data Privacy and Surveillance Regulations
  • 4.3.3 Shortage of 300 mm Wafer Capacity for Stacked CMOS Sensors
  • 4.3.4 Vulnerabilities in Sensor Firmware Leading to Cybersecurity Risks
• 4.4 Value-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Impact of Macroeconomic Factors on the Market
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Buyers/Consumers
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitute Products
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Application
  • 5.1.1 Home Security Cameras
  • 5.1.2 Commercial Surveillance Cameras
  • 5.1.3 Infrastructure and Traffic Cameras
  • 5.1.4 Defense and Border Surveillance Cameras
• 5.2 By Technology
  • 5.2.1 CMOS Image Sensors
  • 5.2.2 CCD Image Sensors
  • 5.2.3 Emerging Technologies (e.g., InGaAs, SWIR)
• 5.3 By Spectrum
  • 5.3.1 Visible Spectrum Sensors
  • 5.3.2 Infrared and Near-Infrared Sensors
  • 5.3.3 Thermal Sensors
  • 5.3.4 Multispectral and Hyperspectral Sensors
• 5.4 By Processing Type
  • 5.4.1 2D Image Sensors
  • 5.4.2 3D/Time-of-Flight Image Sensors
  • 5.4.3 AI-Enabled On-Chip Image Sensors
  • 5.4.4 Neuromorphic Event-Based Sensors
• 5.5 By End-Use Sector
  • 5.5.1 Residential
  • 5.5.2 Commercial and Industrial
  • 5.5.3 Critical Infrastructure
  • 5.5.4 Government and Law Enforcement
  • 5.5.5 Defense and Military
• 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 Europe
    • 5.6.2.1 United Kingdom
    • 5.6.2.2 Germany
    • 5.6.2.3 France
    • 5.6.2.4 Italy
    • 5.6.2.5 Rest of Europe
  • 5.6.3 Asia-Pacific
    • 5.6.3.1 China
    • 5.6.3.2 Japan
    • 5.6.3.3 India
    • 5.6.3.4 South Korea
    • 5.6.3.5 Rest of Asia
  • 5.6.4 Middle East and Africa
    • 5.6.4.1 Middle East
      • 5.6.4.1.1 Saudi Arabia
      • 5.6.4.1.2 United Arab Emirates
      • 5.6.4.1.3 Rest of Middle East
    • 5.6.4.2 Africa
      • 5.6.4.2.1 South Africa
      • 5.6.4.2.2 Egypt
      • 5.6.4.2.3 Rest of Africa
  • 5.6.5 South America
    • 5.6.5.1 Brazil
    • 5.6.5.2 Argentina
    • 5.6.5.3 Rest of South America

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 for Key Companies, Products and Services, and Recent Developments)
  • 6.4.1 Sony Semiconductor Solutions Corporation
  • 6.4.2 Samsung Electronics Co., Ltd.
  • 6.4.3 OmniVision Technologies, Inc.
  • 6.4.4 ON Semiconductor Corporation
  • 6.4.5 STMicroelectronics N.V.
  • 6.4.6 GalaxyCore Shanghai Limited Corporation
  • 6.4.7 SmartSens Technology (Shanghai) Co., Ltd.
  • 6.4.8 SK hynix Inc.
  • 6.4.9 Canon Inc.
  • 6.4.10 Panasonic Holdings Corporation
  • 6.4.11 Toshiba Electronic Devices & Storage Corporation
  • 6.4.12 PixArt Imaging Inc.
  • 6.4.13 Hamamatsu Photonics K.K.
  • 6.4.14 Teledyne Technologies Incorporated
  • 6.4.15 ams-OSRAM AG
  • 6.4.16 Himax Technologies, Inc.
  • 6.4.17 Teledyne e2v Semiconductors SAS
  • 6.4.18 Gpixel Inc.
  • 6.4.19 Tower Semiconductor Ltd.
  • 6.4.20 Forza Silicon Corporation

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment