市场调查报告书
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1359587
驾驶员警报系统市场规模- 按车辆类型(乘用车、商用车)、系统类型(车道偏离警告、驾驶员疲劳监测、驾驶员分心监测)、组件(感测器、摄影机、控制单元)和预测2023 - 2032Driver Alert System Market Size - By Vehicle Type (Passenger Vehicle, Commercial Vehicle), System Type (Lane Departure Warning, Driver Fatigue Monitoring, Driver Distraction Monitoring), Component (Sensor, Camera, Control Unit) & Forecast 2023 - 2032 |
由于车队营运商越来越多地采用驾驶员警报系统来提高安全性和效率,驾驶员警报系统市场规模预计在 2023 年至 2032 年期间复合年增长率将超过 12%。驾驶警报系统可即时监控驾驶行为,有助于减轻与疲劳、分心和不安全驾驶行为相关的风险。
透过减少事故和提高驾驶员表现,车队经理可以降低营运成本并更好地遵守安全法规。为此,许多公司正在将驾驶员警报系统整合到他们的车队中。此外,产业参与者不断开发和部署新颖的安全技术,以提高驾驶员的能力。例如,2023 年 5 月,沃尔沃卡车为其卡车实施了一系列新的安全技术,旨在提高骑车人和行人的安全性。
驾驶员警报系统市场分为车辆类型、系统类型、组件和区域。
根据车辆类型,预计商用车领域的行业价值将在 2023 年至 2032 年间强劲增长。商用车(包括卡车和巴士)通常需要长距离和长时间运行,进一步增加驾驶员疲劳和事故的风险。将摄影机、感测器和人工智慧等先进技术与驾驶员警报系统相集成,以监控驾驶员行为并检测困倦或分心的迹象,也有助于提高安全性并减少事故。
就组件而言,感测器领域的驾驶员警报系统市场在2022 年占据了相当大的收入份额,预计到2032 年将获得巨大的吸引力。驾驶员警报系统依靠先进的感测器技术,如摄影机、红外线感测器和雷达,即时监控驾驶员行为和路况。汽车行业中高级驾驶员辅助系统 (ADAS) 的普及也推动了对基于感测器的驾驶员警报系统的需求。更严格的安全法规和日益增强的道路安全意识也将促进该细分市场的成长。
亚太地区驾驶警示系统市场将于 2023 年至 2032 年呈现强劲成长。这是由于道路上的车辆数量不断增加、人们对道路安全的担忧不断增加以及对驾驶员警报系统的好处的认识不断增强。该地区的一些行业支付者正在投入巨额投资来开发和整合驾驶员警报系统和车辆中的其他先进技术,从而增强行业前景。例如,2023 年1 月,汽车科技公司哈曼在其Ready Care 中添加了新功能,该功能使用神经科学、人工智能和机器学习对驾驶员行为进行分类,同时启动个性化的车内响应,以帮助缓解危险驾驶情况,例如压力、焦虑、分心和嗜睡。
Driver Alert System Market size is slated to exhibit over 12% CAGR from 2023 to 2032, driven by increasing adoption by fleet operators to enhance safety and efficiency. Driver alert systems provide real-time monitoring of driver behavior, helping to mitigate the risks associated with fatigue, distraction, and unsafe driving practices.
With reduced accidents and improved driver performance, fleet managers can lower operational costs and maintain better compliance with safety regulations. To that end, many companies are integrating driver alert systems into their fleets. Additionally, industry players are constantly developing and deploying novel safety technologies to improve the capabilities of the driver. For instance, in May 2023, Volvo Trucks implemented a range of new safety technologies for its trucks with the goal of increasing the safety of cyclists and pedestrians.
The driver alert system market is categorized into vehicle type, system type, component, and region.
Based on vehicle type, the industry value from the commercial vehicle segment is anticipated to witness robust growth between 2023 and 2032. Commercial vehicles, including trucks and buses, often operate over long distances and extended hours, further increasing the risk of driver fatigue and accidents. The integration of advanced technologies, such as cameras, sensors, and AI with driver alert systems to monitor driver behavior and detect signs of drowsiness or distraction also helps to enhance safety and reduce accidents.
With respect to component, the driver alert system market from the sensor segment held considerable revenue share in 2022 and is projected to gain significant traction through 2032. Driver alert systems rely on advanced sensor technologies, such as cameras, infrared sensors, and radar, to monitor driver behavior and road conditions in real-time. The proliferation of advanced driver-assistance systems (ADAS) in the automotive industry is also driving the demand for sensor-based driver alert systems. The stricter safety regulations and the growing awareness of road safety will also foster the segment growth.
Asia Pacific driver alert system market is set to exhibit robust growth from 2023-2032. This is attributed to the increasing number of vehicles on the road, rising concerns about road safety, and the growing awareness of the benefits of driver alert systems. Several industry payers in the region are making massive investments to develop and integrate driver alert systems and other advanced technologies in vehicles, thereby augmenting the industry outlook. For instance, in January 2023, automotive tech company HARMAN added new features to its Ready Care, which uses neuroscience, AI, and ML, to classify driver behavior while initiating personalized in-cabin response to help mitigate dangerous driving situations, such as stress, anxiety, distraction, and drowsiness.