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市场调查报告书
商品编码
1866607
夜视(红外线)监视录影机- 全球市场份额和排名、总收入和需求预测(2025-2031年)Night Vision (IR) Surveillance Cameras - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031 |
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全球夜间监控(红外线)摄影机市场预计在 2024 年达到 148.62 亿美元,预计到 2031 年将达到 348.18 亿美元,2025 年至 2031 年的复合年增长率为 13.6%。
本报告对近期有关夜视(红外线)监视录影机、跨境产业布局、资本配置模式、区域经济相互依存以及供应链重组的关税调整和国际战略反制措施进行了全面评估。
监视录影机作为安防监控领域的关键设备,是一种能够在照度或完全黑暗环境下进行监控和录影的专用摄影机。其核心运行原理是利用特殊的感光元件和成像技术,克服光线限制,捕捉并还原物体的视觉讯息。
从技术角度来看,常见的夜视监视录影机主要分为两大类。它们都基于红外线技术,并进一步细分为主动式红外线和被动式红外线。主动式红外线摄影机配备红外线发射器,发射不可见的红外光照射目标区域,然后由影像感测器捕捉红外光形成影像。这类摄影机广泛应用于私人安防和小型商业监控领域,能够以相对较低的成本提供清晰的夜间监视影像。被动式红外线摄影机无需额外的红外线光源;它们透过探测物体本身发出的红外线辐射来成像。这类摄影机常用于需要高度隐密的场合,例如军事侦察和森林火灾监测。它们不受环境光的影响,能够有效辨识物体的热特性。
另一种类型是照度夜视摄影机,它利用影像增强技术放大微弱光源,从而实现夜间成像。它们可以捕捉极其微弱的光源,例如星光或月光,并将其转换为清晰可见的影像。在影像品质至关重要但环境并非完全黑暗的情况下,例如在港口和机场等大型交通枢纽进行夜间监控时,这些摄影机在提供详细、逼真的影像资讯方面发挥关键作用。
市场驱动因素
日益增长的安全需求:在全球范围内,由于人口流动加剧和社会经济活动活性化,安全的重要性在都市区和农村地区都日益凸显。在都市区商业区和住宅区,确保夜间人身和财产安全至关重要。安装夜间监视录影机能够有效震慑犯罪活动,并在发生事件时提供宝贵的影像证据。例如,在窃盗频繁的老旧住宅区,安装夜间监视录影机显着降低了犯罪率,并为警方调查提供了清晰的线索,有助于迅速抓获犯罪分子。在农村地区,农业现代化推动了农场和畜牧场对夜间安全监控的需求不断增长,以防止牲畜被盗和农作物受损。
推动智慧城市建设:世界各大城市都在积极推动智慧城市建设,而智慧安防是其中的关键组成部分。监视录影机作为夜间监控的基础设备,已广泛应用于城市各处,包括道路、桥樑、公共和公园等。建构大规模夜视监控网络,使城市管理者能即时监控夜间活动,有效管理交通流量,快速应对突发事件,并保障公共。例如,在智慧交通系统中,监视录影机可以识别夜间车辆行驶轨迹和车牌号码,帮助交通管理部门优化交通流量,处理事故和违规行为,促进城市交通管理的智慧化。
拓展新兴应用领域:除了传统的安防应用,夜视监视录影机在新兴领域的应用也日益广泛。在汽车领域,随着自动驾驶技术的进步,夜视监视录影机已成为驾驶辅助系统的重要感测器。即使在夜间或恶劣天气下,它们也能主动检测行人、动物和道路障碍物,为自动驾驶系统提供全面的环境信息,从而提升驾驶安全性。例如,一些豪华汽车品牌已将夜视监视录影机作为标准配置或选项。当车辆行驶在光线昏暗的乡村道路或没有路灯的路段时,夜视监控系统可以快速检测潜在危险并提醒驾驶员,从而避免碰撞事故的发生。在无人机领域,夜视监视录影机使无人机能够进行夜间飞行,使其适用于夜间巡检、勘测、救援行动等任务。例如,在电力线路巡检中,配备夜视监视录影机的无人机可以在夜间巡检电力线路,快速识别线路故障、设备过热等问题。这提高了巡检的效率和准确性,并减少了停电造成的经济损失。
透过智慧进化
人工智慧智慧识别技术的整合:人工智慧(AI)技术深度整合于夜视监视录影机,实现了更强大的智慧识别能力。即使在复杂的夜间环境下,AI演算法也能精准辨识行人、车辆、动物等物体,并分析其行为发出警报。例如,如果摄影机在夜间侦测到禁区内有异常徘徊、驾驶或擅闯行为,会立即发出警报并通知相关人员,从而大幅提升监控效率和准确性。在停车场管理方面,配备AI的夜视监视录影机能够自动识别车牌号码和车型,记录车辆进出时间,并自动管理停车费用,从而提高停车场运作效率。
增强边缘运算能力:为了提高即时处理能力,同时降低资料传输负载和延迟,夜视监视录影机不断增强其边缘运算能力。具备强大边缘运算能力的摄影机能够即时分析和处理现场采集的影像数据,仅将重要的警报讯息和关键影像片段传送到后端伺服器。这降低了网路频宽需求,并确保了监控系统的稳定性。例如,在工业生产现场,夜视监视录影机可以即时监控生产线设备的运作状态。透过边缘运算分析设备温度和振动等数据,可以快速侦测潜在的设备故障,并现场发出警报。这可以防止因资料传输延迟而导致的故障扩散,从而提高生产的连续性和安全性。
本报告旨在按地区/国家、类型和应用程式对全球夜视(红外线)监视录影机市场进行全面分析,重点关注总销售量、收入、价格、市场份额和主要企业的排名。
夜视(红外线)监视录影机市场规模、估算和预测以销售(千台)和收入(百万美元)为单位呈现,基准年为2024年,并包含2020年至2031年的历史数据和预测数据。报告提供定量和定性分析,以帮助读者制定业务和成长策略、评估市场竞争、分析自身在当前市场中的地位,并就夜视(红外线)监视录影机做出明智的商业决策。
市场区隔
公司
按类型分類的细分市场
应用领域
按地区
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.