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市场调查报告书
商品编码
1772198
汽车生物识别市场规模、份额、趋势分析报告:按技术、产品、应用、车辆类型、地区、细分市场预测,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 |
汽车生物识别市场概况
2024 年全球汽车生物识别市场规模估计为 14.7 亿美元,预计到 2033 年将达到 53.3 亿美元,2025 年至 2033 年的复合年增长率为 16.3%。由于对透过指纹和脸部认证等生物识别认证方法增强车辆安全性的需求不断增加,市场发展势头强劲。
生物识别与资讯娱乐和联网汽车系统的日益融合,实现了个人化的使用者体验,进一步推动了市场应用。此外,为了提高安全性和合规性,驾驶员监控系统 (DMS) 的关注度日益提高,这加速了生物识别技术在汽车中的应用。人工智慧和机器学习的进步为提高生物识别的准确性和可用性提供了重要机会,使这些系统更加可靠、使用者友好。然而,高昂的实施成本和整合复杂性仍然是主要挑战,限制了其广泛应用,尤其是在中低价位汽车领域。
汽车製造商正在投资生物识别系统,该系统能够基于驾驶员识别进行个人化设置,从而提升舒适度和用户体验。此外,系统整合了即时生物辨识监测驾驶员生命征象(例如心率和压力水平)的功能,以便透过及早发现疲劳和医疗紧急情况来提升安全性。非接触式生物辨识解决方案的采用减少了肢体接触的需求,符合疫情后人们对卫生安全的担忧。此外,监管部门要求改进驾驶员监控系统以防止事故发生,这也推动了先进生物识别感测器的引入。因此,透过生物识别对个人化和安全性的日益重视,预计将推动全球市场的显着扩张。
生物识别与资讯娱乐和联网汽车平台的日益融合推动了汽车生物识别市场的发展。这一趋势透过针对个人乘客量身定制的安全用户檔案、偏好和存取控制,支援个人化的汽车体验。根据 Salesforce 对 2,000 多名车主进行的一项调查,预计到 2030 年,联网汽车将占所有汽车的 95%,这凸显了生物识别在增强用户参与度和资料安全性方面的关键作用。汽车製造商和技术供应商正在投资生物识别解决方案,以促进智慧汽车内的无缝和安全互动,从而促进市场扩张。生物识别与联网汽车系统的整合正在提高便利性、安全性和客户忠诚度,增强全球先进汽车技术的整体吸引力。
根据欧盟委员会的报告,疲劳驾驶是造成严重道路交通事故的约15-20%的原因,卡车司机、轮班工人、计程车驾驶人和年轻人的风险更高。此外,一项调查发现,五分之一的驾驶者在驾驶时会感到严重困倦,超过50%的远距驾驶者在驾驶时睡着或几乎睡着。欧盟法规2019/2144等法律规范要求采用驾驶员监测系统(DMS)以增强安全性,这进一步加速了DMS的采用。基于生物识别的DMS解决方案可监测驾驶员的警觉性和生命体征,越来越多地被整合到车辆中,以降低风险、提高道路安全性并确保符合全球不断发展的安全标准。
人工智慧 (AI) 和机器学习的进步显着提高了汽车应用中生物识别系统的准确性和可用性。 2022 年 5 月,DERMALOG 和莱茵金属公司 (Rheinmetall)推出了莱茵金属 Dermalog SensorTec 公司,致力于开发下一代驾驶监控系统。该系统将整合生物识别、人工智慧和雷达技术,准确侦测驾驶分心、疲劳和其他车内风险,有助于提高汽车安全性。这些技术改进将支援生物识别解决方案在联网汽车和自动驾驶汽车中的广泛集成,解决误报和系统响应方面的挑战。人工智慧主导的生物识别领域的持续创新预计将推动市场成长,实现无缝、安全可靠的驾驶员识别和监控功能,符合日益严格的安全法规和消费者期望。
先进的生物识别感测器、人工智慧处理单元和安全资料管理系统的成本往往会推高汽车价格,限制了注重预算的消费者的采用。此外,将生物识别系统与现有的车载电子设备、资讯娱乐和安全平台整合会带来技术障碍,包括相容性问题和开发时间延长。例如,确保生物识别模组与电控系统(ECU) 之间的无缝通讯需要专门的软体和硬体校准,这会增加复杂性和成本。因此,这些因素正在减缓生物识别和驾驶员监控解决方案在更经济实惠的汽车中的部署,儘管人们对增强安全性和个性化功能的兴趣日益浓厚,但市场渗透率仍然受到限制。
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: