市場調查報告書
商品編碼
1359587
駕駛員警報系統市場規模- 按車輛類型(乘用車、商用車)、系統類型(車道偏離警告、駕駛員疲勞監測、駕駛員分心監測)、組件(感測器、攝影機、控制單元)和預測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 |
由於車隊營運商擴大採用駕駛員警報系統來提高安全性和效率,駕駛員警報系統市場規模預計在 2023 年至 2032 年期間複合年成長率將超過 12%。駕駛警報系統可即時監控駕駛行為,有助於減輕與疲勞、分心和不安全駕駛行為相關的風險。
透過減少事故和提高駕駛員表現,車隊經理可以降低營運成本並更好地遵守安全法規。為此,許多公司正在將駕駛員警報系統整合到他們的車隊中。此外,產業參與者不斷開發和部署新穎的安全技術,以提高駕駛員的能力。例如,2023 年 5 月,沃爾沃卡車為其卡車實施了一系列新的安全技術,旨在提高騎車人和行人的安全性。
駕駛員警報系統市場分為車輛類型、系統類型、組件和區域。
根據車輛類型,預計商用車領域的行業價值將在 2023 年至 2032 年間強勁成長。商用車(包括卡車和巴士)通常需要長距離和長時間運行,進一步增加駕駛員疲勞和事故的風險。將攝影機、感測器和人工智慧等先進技術與駕駛員警報系統相整合,以監控駕駛員行為並檢測困倦或分心的跡象,也有助於提高安全性並減少事故。
就組件而言,感測器領域的駕駛員警報系統市場在2022 年佔據了相當大的收入佔有率,預計到2032 年將獲得巨大的吸引力。駕駛員警報系統依靠先進的感測器技術,如攝影機、紅外線感測器和雷達,即時監控駕駛員行為和路況。汽車行業中高級駕駛員輔助系統 (ADAS) 的普及也推動了對基於感測器的駕駛員警報系統的需求。更嚴格的安全法規和日益增強的道路安全意識也將促進該細分市場的成長。
亞太地區駕駛警示系統市場將於 2023 年至 2032 年呈現強勁成長。這是由於道路上的車輛數量不斷增加、人們對道路安全的擔憂不斷增加以及對駕駛員警報系統的好處的認知不斷增強。該地區的一些行業支付者正在投入巨額投資來開發和整合駕駛員警報系統和車輛中的其他先進技術,從而增強行業前景。例如,2023 年1 月,汽車科技公司哈曼在其Ready Care 中添加了新功能,該功能使用神經科學、人工智慧和機器學習對駕駛員行為進行分類,同時啟動個性化的車內響應,以幫助緩解危險駕駛情況,例如壓力、焦慮、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.