PUBLISHER: QYResearch | PRODUCT CODE: 1866607
PUBLISHER: QYResearch | PRODUCT CODE: 1866607
The global market for Night Vision (IR) Surveillance Cameras was estimated to be worth US$ 14862 million in 2024 and is forecast to a readjusted size of US$ 34818 million by 2031 with a CAGR of 13.6% during the forecast period 2025-2031.
This report provides a comprehensive assessment of recent tariff adjustments and international strategic countermeasures on Night Vision (IR) Surveillance Cameras cross-border industrial footprints, capital allocation patterns, regional economic interdependencies, and supply chain reconfigurations.
Night vision surveillance cameras, as key devices in the field of security surveillance, are specialized cameras capable of monitoring and recording in low-light or completely dark environments. Their core operating principle involves utilizing special light-sensitive components and imaging technology to overcome light limitations, capturing and reproducing the visual information of target objects.
From a technical perspective, common night vision surveillance cameras are primarily divided into two categories: those based on infrared technology, which are further subdivided into active infrared and passive infrared. Active infrared cameras are equipped with infrared emitters that emit invisible infrared light to illuminate the shooting area, which is then captured by an image sensor to form an image. These cameras are widely used in civilian security and small commercial surveillance applications, providing clear nighttime surveillance footage at a relatively low cost. Passive infrared cameras primarily rely on detecting the infrared radiation emitted by objects themselves to form images, without requiring additional infrared light sources. They are commonly used in scenarios with extremely high requirements for concealment, such as military reconnaissance and forest fire monitoring. Their imaging is not affected by ambient light and can effectively identify the thermal characteristics of target objects.
Another type is the low-light night vision camera, which employs image enhancement technology to amplify weak light sources and achieve nighttime imaging. They can capture extremely faint light sources such as starlight or moonlight and convert them into clear, observable images. In scenarios where image quality is critical and the environment is not completely dark-such as nighttime surveillance at large transportation hubs like ports or airports-these cameras play a crucial role, providing detailed and realistic image information.
Market Drivers
Growing demand for security: Globally, whether in urban or rural areas, the importance of security is becoming increasingly apparent as population mobility increases and socio-economic activities become more frequent. Commercial and residential areas in cities need to ensure the safety of property and people at night. Installing night vision surveillance cameras can effectively deter criminal activity and provide crucial video evidence in the event of an incident. For example, in older neighborhoods with high rates of theft, the installation of night vision surveillance cameras has led to a significant decrease in crime rates and provided clear leads for police investigations, aiding in the swift apprehension of criminals. In rural areas, as agricultural modernization progresses, there is an increasing demand for nighttime security surveillance in farms and livestock facilities to prevent theft of livestock and damage to crops.
Advancing smart city construction: Smart city construction is being vigorously promoted in major cities around the world, with intelligent security being an important component. Night vision surveillance cameras, as the basic equipment for nighttime surveillance, are widely deployed in various corners of the city, including roads, bridges, public squares, and parks. By establishing a large-scale night vision surveillance network, city managers can monitor real-time nighttime activities, manage traffic flow, respond swiftly to emergencies, and ensure public safety. For example, in intelligent transportation systems, night vision surveillance cameras can identify vehicle trajectories and license plate numbers at night, assisting traffic authorities in optimizing traffic flow, handling accidents and violations, and enhancing the intelligence of urban transportation management.
Expansion into emerging application scenarios: Beyond traditional security applications, night vision surveillance cameras are increasingly being adopted in emerging fields. In the automotive sector, as autonomous driving technology advances, night vision surveillance cameras have become a critical sensor for driver-assistance systems. They can detect pedestrians, animals, and obstacles on the road in advance under nighttime or adverse weather conditions, providing the autonomous driving system with more comprehensive environmental information to enhance driving safety. For example, some high-end automotive brands have already made night vision surveillance cameras standard or optional equipment. When vehicles are traveling on dimly lit rural roads or sections without streetlights, the night vision system can promptly detect potential hazards, provide warnings to drivers, and prevent collisions. In the field of drones, night vision surveillance cameras enable drones to operate at night, making them suitable for tasks such as nighttime inspections, surveying, and rescue operations. In power line inspections, drones equipped with night vision surveillance cameras can inspect transmission lines at night, promptly identifying issues such as line faults or equipment overheating, thereby improving inspection efficiency and accuracy and reducing economic losses caused by power outages.
Intelligent Upgrades
AI Intelligent Recognition Technology Integration: Artificial intelligence (AI) technology will be deeply integrated into night vision surveillance cameras, enabling more powerful intelligent recognition capabilities. Through AI algorithms, cameras can accurately identify targets such as pedestrians, vehicles, and animals in complex nighttime environments and analyze and warn of their behavior. For example, when detecting abnormal wandering, running, or unauthorized entry into restricted areas at night, the cameras can immediately issue an alarm to notify relevant personnel, significantly improving monitoring efficiency and accuracy. In parking lot management, AI-enabled night vision surveillance cameras can automatically recognize vehicle license plate numbers and vehicle types, record entry and exit times, and implement automated parking fee management, enhancing the operational efficiency of parking lots.
Enhanced edge computing capabilities: To reduce data transmission pressure and latency while improving real-time processing capabilities, night vision surveillance cameras will continue to enhance their edge computing capabilities. Cameras with robust edge computing capabilities can perform real-time analysis and processing of collected video data locally, transmitting only critical alarm information and important video clips to backend servers. This reduces network bandwidth requirements and ensures the stability of the surveillance system. For example, in industrial production scenarios, night vision surveillance cameras can monitor the operational status of equipment on production lines in real time at the edge. By analyzing data such as equipment temperature and vibration through edge computing, they can promptly identify potential equipment failures and issue local alerts, preventing fault escalation caused by data transmission delays. This enhances production continuity and safety.
This report aims to provide a comprehensive presentation of the global market for Night Vision (IR) Surveillance Cameras, focusing on the total sales volume, sales revenue, price, key companies market share and ranking, together with an analysis of Night Vision (IR) Surveillance Cameras by region & country, by Type, and by Application.
The Night Vision (IR) Surveillance Cameras market size, estimations, and forecasts are provided in terms of sales volume (K Units) and sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Night Vision (IR) Surveillance Cameras.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size (value, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Night Vision (IR) Surveillance Cameras manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Sales, revenue of Night Vision (IR) Surveillance Cameras in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Sales, revenue of Night Vision (IR) Surveillance Cameras in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.