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市場調查報告書
商品編碼
1894901
紅外線感測應用市場與品牌策略(2026 年)2026 Infrared Sensing Application Market and Branding Strategies |
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多種因素正在推動紅外線感測市場的擴張。基於消費性電子、DMS/OMS、汽車和工業自動化應用(例如雷射雷達),用於紅外線感測的紅外線LED、VCSEL和EEL的市場規模預計到2030年將達到22.14億美元。

歐盟通用安全法規將要求自2026年7月7日起,所有新乘用車、卡車和巴士必須安裝ADDW系統。此外,豪華車輛現在必須配備駕駛監控系統,以防止事故和其他操作失誤,以及ADAS/自動駕駛L2及以上系統。 汽車製造商對這項法規的回應無疑地推動了市場對駕駛員/乘員監控系統的需求。然而,由於汽車市場競爭激烈,紅外線LED市場的價格壓力依然強勁。
面對市場競爭,汽車製造商正積極推廣配備先進技術的高附加價值產品(例如,ADB頭燈、全寬/迷你LED尾燈)。他們也在推廣將雷射雷達應用於ADAS/L3級自動駕駛系統(例如,高速公路駕駛輔助系統),以提高駕駛安全性並增強自動緊急煞車(AEB)性能。主要廠商包括沃爾沃、通用汽車、奧迪、福斯、寶馬、現代、紅旗、長安、理想汽車、愛拓、蔚來、豐田和日產。汽車光達也被應用於L4-L5級自動駕駛的自動駕駛公車、無人駕駛計程車和卡車,主要用於短程和點對點運輸。 這有助於緩解勞動力短缺,降低勞動力和運輸成本。
工業光達正被應用於機器人、工業製造流程、物流和安全防護領域。電子商務產業的快速發展增加了工廠內部的配送和運輸量,而消費者對快速且便利的配送服務的需求也不斷成長。這使得速度成為物流公司成功的關鍵因素,同時也增加了最後一公里配送的難度。電子商務和物流公司越來越需要配送機器人來降低最後一公里配送成本並提高效率。
因此,2026 年將標誌著機器人產業進入一個新階段,其特點是人工智慧驅動的人形機器人將專注於實際應用。人形機器人依靠各種感測器與周圍環境互動。 雖然具體感測器會因設計要求而異,但這些感測器可以進行定制,以模擬人類的感官功能。
隨著生成式人工智慧的興起,資料中心對傳輸速度的需求顯著增長。據 TrendForce 稱,400Gbps 及以下的資料傳輸速度已被雲端服務供應商 (CSP) 資料中心廣泛採用。同時,預計 800Gbps 和 1.6Tbps 將成為 2025 年至 2026 年市場需求的重要成長驅動力。
本報告探討並分析了紅外線感測應用市場,並提供了對該市場商業和行銷策略的全面見解。
According to the report "TrendForce 2026 Infrared Sensing Application Market and Branding Strategies," driven by brands' strategic planning, five key themes are projected to unfold steadily between 2026 and 2030.
Various factors are helping to expand the market scale of infrared sensing applications. Based on consumer electronics, DMS/OMS, automotive and industrial automation applications such as LiDAR, TrendForce forecasts that the IR LED, VCSEL, and EEL market scale for infrared sensing applications will climb to USD 2.214 billion by 2030.
Under-Display 3D Sensing: Apple is expected to adopt Dual-Junction VCSELs, and introduce under-display 3D sensing in the 2026 model of iPhone Pro using mature processes. Moreover, brands like Apple and Meta are planning to launch AR glasses between 2028 and 2030, leveraging 3D sensing to enable real-time interaction between virtual and real environments, thereby opening up significant business opportunities.
Under-Display Proximity Sensors: By adopting LTPO panels and adjusting timings to avoid the refresh rate of OLED screens (144Hz), smartphone brands can reduce white spot artifacts. This factor also led Apple to cancel the development of its 1,130nm SWIR VCSEL under-display proximity sensor. Meanwhile, in order to improve screen-to-body ratio, the 2026 iPhone Pro will not only use under-display 3D sensing but may also place 1D/2D ToF sensors under the screen. Other brands mostly use 940nm VCSEL under-display proximity sensors, such as Samsung, OPPO, vivo, Transsion, Xiaomi, ZTE, Huawei, Honor, and Motorola.
Bio-Sensing: Apple Watch Series 11 have been incorporated with the new feature of blood pressure detection in 2025 through improvement of algorithms under the existing hardware, while AirPods Pro 3 is now included with skin-detect sensor and heart rate monitoring. Samsung's Galaxy Watch 8 and Galaxy Buds 4 Pro, under optimization on software and hardware, are maintaining the bio-sensing features from previous generations. For the long term, next-gen bio-sensing features, including body hydration, blood lipids, and blood alcohol concentration (BAC), could potentially be incorporated into smart watches of Apple and Samsung in between 2029 and 2030.
Eye Tracking: The advantages of eye tracking include intuitive visual experience, eye-triggered interactive interfaces, automatic interpupillary distance (IPD) adjustment, identity verification, and mobile payment are also expected to be integrated with Micro LED displays in AR glasses. Brands such as Apple, Meta, Samsung, Amazon, and Google are likely to adopt these technologies.
The EU General Safety Regulation stipulates that new passenger cars, trucks, and buses must be equipped with ADDW systems starting from July 7, 2026. Additionally, ADAS / autonomous driving Level 2 and above must be installed in high-end vehicles along with driver monitoring systems to prevent misuse that could lead to accidents and disputes. Carmakers' response to the policy has indeed driven the demand for driver/occupant monitoring systems in the market. However, due to the intense competition in the automotive market, the price pressure in the IR LED market has not eased.
Automakers, facing market competition, are actively marketing high value-added products engineered with advanced technologies, such as ADB headlights, and full-width / Mini LED taillights. They have also been applying LiDAR to ADAS / autonomous driving Level 3 (e.g., Highway Pilot), aiming to enhance driving safety and autonomous emergency braking (AEB) performance. Leading players include Volvo, General Motors, Audi, Volkswagen, BMW, Hyundai, Hongqi, Changan, Li Auto, AITO, NIO, Toyota, and Nissan. Automotive LiDAR is also applied in autonomous buses, robo-taxis, and autonomous trucks with autonomous driving Level 4-5 mainly for shuttling and point-to-point transportation. This helps address labor shortages and save personnel and transportation costs.
Industrial LiDAR is applied in robots, industrial manufacturing processes, logistics, and safety protection. With the rapid growth of the e-commerce industry, distribution and transportation within factories have increased, while consumer demand for fast and convenient delivery services continues to rise. This has made speed a crucial factor in determining success for logistics companies in e-commerce, while also making last-mile delivery more challenging. E-commerce and logistics companies, aiming to reduce last-mile delivery costs and improve efficiency, are increasingly demanding more delivery robots.
The year 2026 will therefore mark a new phase in the robotics industry, characterized by humanoid robots that are driven by AI and focused on practical applications. Humanoid robots rely on various sensors to interact with their surrounding environment. The specific sensors vary according to design requirements. These sensors can be aligned with the simulation of human sensory functions.
In response to the rise of generative AI, data centers are facing a significant increase in transmission rate demands. According to TrendForce, data transmission rates of less than or equal to 400 Gbps have already been widely adopted in the data centers of Cloud Service Providers (CSPs). Meanwhile, 800 Gbps and 1.6 Tbps will be the main drivers of market demand growth from 2025 onwards and continue into 2026. NVIDIA's goals for SiPh CPO products include: 1. Low cost (< USD 0.1 / Gbps); 2. Low power consumption (< 1.5 pJ/bit); Long distance (> 1 km); Small form factor (>0.5 Tbps/mm2); High reliability (< 10 FIT). Among these, Micro LED CPO is expected to align with SiPh CPO goals in terms of low cost, low power consumption, small form factor, and high reliability.
TrendForce analyzes the market scale, opportunities and challenges, and product specifications and pricing for infrared sensing applications. These analyses are based on brand manufacturers' strategies and the latest developments across supply chains. The report aims to provide readers with a comprehensive insight into business and marketing strategies in the infrared sensing application market.