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市場調查報告書
商品編碼
1772198
汽車生物識別市場規模、佔有率、趨勢分析報告:按技術、產品、應用、車輛類型、地區、細分市場預測,2025 年至 2033 年Automotive Biometric Market Size, Share & Trends Analysis Report By Technology, By Offering, By Application, By Vehicle Type, By Region, And Segment Forecasts, 2025 - 2033 |
汽車生物識別市場概況
2024 年全球汽車生物識別市場規模估計為 14.7 億美元,預計到 2033 年將達到 53.3 億美元,2025 年至 2033 年的複合年成長率為 16.3%。由於對透過指紋和臉部認證等生物識別認證方法增強車輛安全性的需求不斷增加,市場發展勢頭強勁。
生物識別與資訊娛樂和聯網汽車系統的日益融合,實現了個人化的使用者體驗,進一步推動了市場應用。此外,為了提高安全性和合規性,駕駛員監控系統 (DMS) 的關注度日益提高,這加速了生物識別技術在汽車中的應用。人工智慧和機器學習的進步為提高生物識別的準確性和可用性提供了重要機會,使這些系統更加可靠、使用者友好。然而,高昂的實施成本和整合複雜性仍然是主要挑戰,限制了其廣泛應用,尤其是在中低價位汽車領域。
汽車製造商正在投資生物識別系統,該系統能夠基於駕駛員識別進行個人化設置,從而提升舒適度和用戶體驗。此外,系統整合了即時生物辨識監測駕駛員生命徵象(例如心率和壓力水平)的功能,以便透過及早發現疲勞和醫療緊急情況來提升安全性。非接觸式生物辨識解決方案的採用減少了肢體接觸的需求,符合疫情後人們對衛生安全的擔憂。此外,監管部門要求改進駕駛員監控系統以防止事故發生,這也推動了先進生物識別感測器的引入。因此,透過生物識別對個人化和安全性的日益重視,預計將推動全球市場的顯著擴張。
生物識別與資訊娛樂和聯網汽車平台的日益融合推動了汽車生物識別市場的發展。這一趨勢透過針對個人乘客量身定做的安全用戶檔案、偏好和存取控制,支援個人化的汽車體驗。根據 Salesforce 對 2,000 多名車主進行的一項調查,預計到 2030 年,聯網汽車將佔所有汽車的 95%,這凸顯了生物識別在增強用戶參與度和資料安全性方面的關鍵作用。汽車製造商和技術供應商正在投資生物識別解決方案,以促進智慧汽車內的無縫和安全互動,從而促進市場擴張。生物識別與聯網汽車系統的整合正在提高便利性、安全性和客戶忠誠度,增強全球先進汽車技術的整體吸引力。
根據歐盟委員會的報告,疲勞駕駛是造成嚴重道路交通事故的約15-20%的原因,卡車司機、輪班工人、計程車駕駛人和年輕人的風險更高。此外,一項調查發現,五分之一的駕駛者在駕駛時會感到嚴重困倦,超過50%的遠距駕駛者在駕駛時睡著或幾乎睡著。歐盟法規2019/2144等法律規範要求採用駕駛員監測系統(DMS)以增強安全性,這進一步加速了DMS的採用。基於生物識別的DMS解決方案可監測駕駛員的警覺性和生命徵象,擴大被整合到車輛中,以降低風險、提高道路安全性並確保符合全球不斷發展的安全標準。
人工智慧 (AI) 和機器學習的進步顯著提高了汽車應用中生物識別系統的準確性和可用性。 2022 年 5 月,DERMALOG 和萊茵金屬公司 (Rheinmetall)推出了萊茵金屬 Dermalog SensorTec 公司,致力於開發下一代駕駛監控系統。該系統將整合生物識別、人工智慧和雷達技術,準確偵測駕駛分心、疲勞和其他車內風險,有助於提高汽車安全性。這些技術改進將支援生物識別解決方案在聯網汽車和自動駕駛汽車中的廣泛整合,解決誤報和系統響應方面的挑戰。人工智慧主導的生物識別領域的持續創新預計將推動市場成長,實現無縫、安全可靠的駕駛員識別和監控功能,符合日益嚴格的安全法規和消費者期望。
先進的生物識別感測器、人工智慧處理單元和安全資料管理系統的成本往往會推高汽車價格,限制了注重預算的消費者的採用。此外,將生物識別系統與現有的車載電子設備、資訊娛樂和安全平台整合會帶來技術障礙,包括相容性問題和開發時間延長。例如,確保生物識別模組與電控系統(ECU) 之間的無縫通訊需要專門的軟體和硬體校準,這會增加複雜性和成本。因此,這些因素正在減緩生物識別和駕駛員監控解決方案在更經濟實惠的汽車中的部署,儘管人們對增強安全性和個性化功能的興趣日益濃厚,但市場滲透率仍然受到限制。
Automotive Biometric Market Summary
The global automotive biometric market size was estimated at USD 1.47 billion in 2024 and is projected to reach USD 5.33 billion by 2033, growing at a CAGR of 16.3% from 2025 to 2033.The market is gaining momentum, driven by rising demand for enhanced vehicle security through biometric authentication methods such as fingerprint and facial recognition.
Increasing integration of biometrics with infotainment and connected car systems is enabling a personalized user experience, further propelling market adoption. Additionally, the growing focus on driver monitoring systems (DMS) aimed at improving safety and meeting regulatory compliance is accelerating the deployment of biometric technologies in vehicles. Advancements in artificial intelligence and machine learning present significant opportunities to improve biometric accuracy and usability, making these systems more reliable and user-friendly. However, high implementation costs and integration complexities remain major challenges, particularly limiting widespread adoption among mid and low-end vehicle segments.
Automotive manufacturers are investing in biometric systems that enable personalized settings based on driver recognition, improving comfort and user experience. Additionally, real-time biometric monitoring of drivers' vital signs, such as heart rate and stress levels, is being integrated to enhance safety by detecting fatigue or medical emergencies early. The adoption of contactless biometric solutions reduces the need for physical interaction, aligning with hygiene concerns post-pandemic. Also, regulatory pressures to improve driver monitoring systems to prevent accidents are encouraging the incorporation of advanced biometric sensors. This growing emphasis on both personalization and safety through biometrics is expected to drive substantial market expansion globally.
The increasing integration of biometric authentication with infotainment and connected car platforms is driving the automotive biometric market. This trend supports personalized in-vehicle experiences by enabling secure user profiles, preferences, and access controls tailored to individual occupants. According to a Salesforce survey of over 2,000 car owners, connected vehicles are projected to constitute 95% of all vehicles by 2030, highlighting the critical role of biometrics in enhancing user engagement and data security. Automakers and technology providers are investing in biometric solutions to facilitate seamless, secure interactions within smart vehicles, contributing to market expansion. The convergence of biometrics with connected car systems fosters improved convenience, safety, and customer loyalty, strengthening the overall appeal of advanced automotive technologies worldwide.
According to a European Commission report, fatigue contributes to approximately 15-20% of severe road accidents, with higher risks among truck, shift, taxi drivers, and young men. Additionally, a survey found that one in five drivers experience significant sleepiness while driving, and over 50% of long-distance drivers have fallen asleep or nearly fallen asleep behind the wheel. Regulatory frameworks such as the EU Regulation 2019/2144 mandate the implementation of DMS for enhanced safety is further accelerating the adoption. Biometric-based DMS solutions that monitor driver alertness and vital signs are increasingly integrated into vehicles to mitigate risks, improve road safety, and ensure compliance with evolving safety standards globally.
Advancements in artificial intelligence (AI) and machine learning are significantly improving the precision and user-friendliness of biometric systems in automotive applications. In May 2022, DERMALOG[ and Rheinmetall launched the Rheinmetall Dermalog SensorTec to develop next-generation driver monitoring systems. By integrating biometrics, AI, and radar technology, this system can accurately detect driver distractions, fatigue, and other cabin risks, contributing to enhanced vehicle safety. These technological improvements support the broader integration of biometric solutions within connected and autonomous vehicles, addressing challenges related to false positives and system responsiveness. Continued innovation in AI-driven biometrics is expected to drive market growth by enabling seamless, secure, and reliable driver identification and monitoring functions aligned with increasing safety regulations and consumer expectations.
The expense of advanced biometric sensors, AI processing units, and secure data management systems often results in higher vehicle prices, restricting accessibility for budget-conscious consumers. Also, integrating biometric systems with existing vehicle electronics, infotainment, and security platforms presents technical hurdles, including compatibility issues and increased development time. For example, ensuring seamless communication between biometric modules and electronic control units (ECUs) demands specialized software and hardware calibration, raising complexity and cost. Consequently, these factors slow the deployment of biometric authentication and driver monitoring solutions in more affordable vehicles, limiting market penetration despite growing interest in enhanced security and personalization features.
Global Automotive Biometric Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global automotive biometric market report based on technology, offering, application, vehicle type, and region: