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市场调查报告书
商品编码
1894901
红外线感测应用市场与品牌策略(2026 年)2026 Infrared Sensing Application Market and Branding Strategies |
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多种因素正在推动红外线感测市场的扩张。基于消费性电子、DMS/OMS、汽车和工业自动化应用(例如雷射雷达),用于红外线感测的红外线LED、VCSEL和EEL的市场规模预计到2030年将达到22.14亿美元。

欧盟通用安全法规将要求自2026年7月7日起,所有新乘用车、卡车和巴士必须安装ADDW系统。此外,豪华车辆现在必须配备驾驶监控系统,以防止事故和其他操作失误,以及ADAS/自动驾驶L2及以上系统。 汽车製造商对这项法规的回应无疑地推动了市场对驾驶员/乘员监控系统的需求。然而,由于汽车市场竞争激烈,红外线LED市场的价格压力依然强劲。
面对市场竞争,汽车製造商正积极推广配备先进技术的高附加价值产品(例如,ADB头灯、全宽/迷你LED尾灯)。他们也在推广将雷射雷达应用于ADAS/L3级自动驾驶系统(例如,高速公路驾驶辅助系统),以提高驾驶安全性并增强自动紧急煞车(AEB)性能。主要厂商包括沃尔沃、通用汽车、奥迪、福斯、宝马、现代、红旗、长安、理想汽车、爱拓、蔚来、丰田和日产。汽车光达也被应用于L4-L5级自动驾驶的自动驾驶公车、无人驾驶计程车和卡车,主要用于短程和点对点运输。 这有助于缓解劳动力短缺,降低劳动力和运输成本。
工业光达正被应用于机器人、工业製造流程、物流和安全防护领域。电子商务产业的快速发展增加了工厂内部的配送和运输量,而消费者对快速且便利的配送服务的需求也不断成长。这使得速度成为物流公司成功的关键因素,同时也增加了最后一公里配送的难度。电子商务和物流公司越来越需要配送机器人来降低最后一公里配送成本并提高效率。
因此,2026 年将标誌着机器人产业进入一个新阶段,其特点是人工智慧驱动的人形机器人将专注于实际应用。人形机器人依靠各种感测器与周围环境互动。 虽然具体感测器会因设计要求而异,但这些感测器可以进行定制,以模拟人类的感官功能。
随着生成式人工智慧的兴起,资料中心对传输速度的需求显着增长。据 TrendForce 称,400Gbps 及以下的资料传输速度已被云端服务供应商 (CSP) 资料中心广泛采用。同时,预计 800Gbps 和 1.6Tbps 将成为 2025 年至 2026 年市场需求的重要成长驱动力。
本报告探讨并分析了红外线感测应用市场,并提供了对该市场商业和行销策略的全面见解。
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.