![]() |
市場調查報告書
商品編碼
1866607
夜視(紅外線)監視錄影機- 全球市場佔有率和排名、總收入和需求預測(2025-2031年)Night Vision (IR) Surveillance Cameras - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031 |
||||||
※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。
全球夜間監控(紅外線)攝影機市場預計在 2024 年達到 148.62 億美元,預計到 2031 年將達到 348.18 億美元,2025 年至 2031 年的複合年成長率為 13.6%。
本報告對近期有關夜視(紅外線)監視錄影機、跨境產業佈局、資本配置模式、區域經濟相互依存以及供應鏈重組的關稅調整和國際戰略反制措施進行了全面評估。
監視錄影機作為安防監控領域的關鍵設備,是一種能夠在照度或完全黑暗環境下進行監控和錄影的專用攝影機。其核心運行原理是利用特殊的感光元件和成像技術,克服光線限制,捕捉並還原物體的視覺訊息。
從技術角度來看,常見的夜視監視錄影機主要分為兩大類。它們都基於紅外線技術,並進一步細分為主動式紅外線和被動式紅外線。主動式紅外線攝影機配備紅外線發射器,發射不可見的紅外光照射目標區域,然後由影像感測器捕捉紅外光形成影像。這類攝影機廣泛應用於私人安防和小型商業監控領域,能夠以相對較低的成本提供清晰的夜間監視影像。被動式紅外線攝影機無需額外的紅外線光源;它們透過探測物體本身發出的紅外線輻射來成像。這類攝影機常用於需要高度隱密的場合,例如軍事偵察和森林火災監測。它們不受環境光的影響,能夠有效辨識物體的熱特性。
另一種類型是照度夜視攝影機,它利用影像增強技術放大微弱光源,從而實現夜間成像。它們可以捕捉極其微弱的光源,例如星光或月光,並將其轉換為清晰可見的影像。在影像品質至關重要但環境並非完全黑暗的情況下,例如在港口和機場等大型交通樞紐進行夜間監控時,這些攝影機在提供詳細、逼真的影像資訊方面發揮關鍵作用。
市場促進因素
日益成長的安全需求:在全球範圍內,由於人口流動加劇和社會經濟活動活性化,安全的重要性在都市區和農村地區都日益凸顯。在都市區商業區和住宅區,確保夜間人身和財產安全至關重要。安裝夜間監視錄影機能夠有效震懾犯罪活動,並在發生事件時提供寶貴的影像證據。例如,在竊盜頻繁的老舊住宅區,安裝夜間監視錄影機顯著降低了犯罪率,並為警方調查提供了清晰的線索,有助於迅速抓獲犯罪分子。在農村地區,農業現代化推動了農場和畜牧場對夜間安全監控的需求不斷成長,以防止牲畜被盜和農作物受損。
推動智慧城市建設:世界各大城市都在積極推動智慧城市建設,而智慧安防是其中的關鍵組成部分。監視錄影機作為夜間監控的基礎設備,已廣泛應用於城市各處,包括道路、橋樑、公共和公園等。建構大規模夜視監控網路,使城市管理者能即時監控夜間活動,有效管理交通流量,快速應對突發事件,並保障公共。例如,在智慧交通系統中,監視錄影機可以識別夜間車輛行駛軌跡和車牌號碼,幫助交通管理部門最佳化交通流量,處理事故和違規行為,促進城市交通管理的智慧化。
拓展新興應用領域:除了傳統的安防應用,夜視監視錄影機在新興領域的應用也日益廣泛。在汽車領域,隨著自動駕駛技術的進步,夜視監視錄影機已成為駕駛輔助系統的重要感測器。即使在夜間或惡劣天氣下,它們也能主動檢測行人、動物和道路障礙物,為自動駕駛系統提供全面的環境資訊,從而提升駕駛安全性。例如,一些豪華汽車品牌已將夜視監視錄影機作為標準配置或選項。當車輛行駛在光線昏暗的鄉村道路或沒有路燈的路段時,夜視監控系統可以快速檢測潛在危險並提醒駕駛員,從而避免碰撞事故的發生。在無人機領域,夜視監視錄影機使無人機能夠進行夜間飛行,使其適用於夜間巡檢、勘測、救援行動等任務。例如,在電力線路巡檢中,配備夜視監視錄影機的無人機可以在夜間巡檢電力線路,快速識別線路故障、設備過熱等問題。這提高了巡檢的效率和準確性,並減少了停電造成的經濟損失。
透過智慧進化
人工智慧智慧識別技術的整合:人工智慧(AI)技術深度整合於夜視監視錄影機,實現了更強大的智慧識別能力。即使在複雜的夜間環境下,AI演算法也能精準辨識行人、車輛、動物等物體,並分析其行為發出警報。例如,如果攝影機在夜間偵測到禁區內有異常徘徊、駕駛或擅闖行為,會立即發出警報並通知相關人員,從而大幅提升監控效率和準確性。在停車場管理方面,配備AI的夜視監視錄影機能夠自動識別車牌號碼和車型,記錄車輛進出時間,並自動管理停車費用,從而提高停車場運作效率。
增強邊緣運算能力:為了提高即時處理能力,同時降低資料傳輸負載和延遲,夜視監視錄影機不斷增強其邊緣運算能力。具備強大邊緣運算能力的攝影機能夠即時分析和處理現場採集的影像數據,僅將重要的警報訊息和關鍵影像片段傳送到後端伺服器。這降低了網路頻寬需求,並確保了監控系統的穩定性。例如,在工業生產現場,夜視監視錄影機可以即時監控生產線設備的運作狀態。透過邊緣運算分析設備溫度和振動等數據,可以快速偵測潛在的設備故障,並現場發出警報。這可以防止因資料傳輸延遲而導致的故障擴散,從而提高生產的連續性和安全性。
本報告旨在按地區/國家、類型和應用程式對全球夜視(紅外線)監視錄影機市場進行全面分析,重點關注總銷售量、收入、價格、市場佔有率和主要企業的排名。
夜視(紅外線)監視錄影機市場規模、估算和預測以銷售(千台)和收入(百萬美元)為單位呈現,基準年為2024年,並包含2020年至2031年的歷史數據和預測數據。報告提供定量和定性分析,以幫助讀者制定業務和成長策略、評估市場競爭、分析自身在當前市場中的地位,並就夜視(紅外線)監視錄影機做出明智的商業決策。
市場區隔
公司
按類型分類的細分市場
應用領域
按地區
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.