汽车生物识别市场 - 增长、趋势、COVID-19 影响和预测（2022-2027 年）

在预测期内，全球汽车生物识别市场预计将以 18.2% 的复合年增长率增长。

在将生物识别技术引入电子设备后，近年来生物识别技术在汽车上的应用不断扩大。然而，虽然这项技术的采用仅限于高檔汽车领域，但我们推测近年来，由于更好的车辆安全性和其他可访问性优势，它的应用也将进入普通个人汽车领域。

主要亮点

• 在汽车行业，生物识别技术的应用包括使用各种生物识别扫描仪、辅助工具对车辆启动进行访问控制，以及为用户提供个性化的车辆定制，乘客可以在其中调用播放列表、联繫人和喜欢的应用程序，它存在于实现等各个领域。在预测期内，这些生物识别技术的汽车应用预计将增加。
• Iris Recognition 被认为是一种可靠且准确的生物识别技术，用于对汽车中的辅助人员进行身份验证，并且玩家正在接近它以提供更多功能，例如保护通过网关提供的多种服务。2022 年 4 月，现代汽车公司申请了一项系统专利，该系统使用虹膜扫描技术在进入车辆时验证服务人员的身份。该系统还可以防止任何人在没有匹配生物特征的情况下启动车辆。
• iRock 最近宣布合作将其虹膜生物识别技术应用于 Sirius XM 电子钱包，作为高度安全的非接触式网关的原型。服务商和乘客将能够在旅途中找到、支付和预购咖啡、汽油、电影票、停车位等。此外，Airoc 定制设计的安装有护目镜的原型可以捕获协助者和乘客的虹膜生物特征，以消除协助者在交易处理过程中的分心。这种新技术解决了虹膜识别领域生物识别应用的新未来趋势。
• 人脸识别在汽车领域也越来越重要。汽车製造商Subaru在其最新的 Forester 车型中引入了面部识别功能。该系统结合了红外 LED 和摄像头，可监控促进性注意力不集中和嗜睡的迹象，并在必要时发出警报。它还可以识别多达五个人的驱动因素，因此它可以自动调整每个人的设置和偏好。
• 此外，各种汽车製造商已经引入指纹技术来解锁他们的汽车。指纹认证是最可靠和被广泛接受的生物特征认证形式之一，因为找到两个相同指纹的机率是 640 亿分之一，即使是双胞胎也是如此。
• 现代汽车等多家服务商允许您註册指纹。您的指纹会自动调整您的座椅位置和后视镜角度。现代汽车錶示，指纹认证方式使用人体电容，读取器识别指纹，防止黑客入侵和伪造。指纹认证错误率据说是1/50,000。
• 由于 COVID-19 大流行，全球汽车产量急剧下降。根据欧洲汽车製造商协会的数据，由于工厂关闭，整个欧盟至少有 2,446,344 辆汽车在生产中损失。特别是，生物特征认证系统作为早期检测、患者筛查和公共安全监测以阻止 COVID-19 传播的关键技术引起了人们的关注。需求正在急剧下降。

主要市场趋势

面部识别有望显着增长

• 强调在汽车行业采用面部识别技术，预计在预测期内将增加。该技术的应用对于车辆访问控制及其安全性非常有用。市场服务商公司希望采用此解决方案来监控服务商和乘客的情绪并跟踪行为。
• 此外，面部识别解决方案还用于汽车点火、汽车防盗等各种汽车行业应用。他们还可以自动调整汽车设置以适应个人喜好，例如在车主通过身份验证后调整供暖或播放您喜欢的音乐。
• 随着自动驾驶汽车在技术上变得越来越重要，使用面部识别来吸收安全和访问预计将变得更加突出。例如，如果辅导员昏昏欲睡或头晕目眩，车辆可以控制并保证您的安全。这些因素进一步增加了这些解决方案在市场上的潜力。
• Jaguar Land Rover Automotive PLC正在测试一种系统来监控乘客的情绪。安装在方向盘上的摄像头和生物传感器会监控引导者的面部表情。系统不断对其进行分析并自动更改机舱的功能。例如，如果辅导员检测到您有压力，它可以将您周围的灯光更改为更平静的颜色。如果有疲倦迹象，选择更刺激的播放列表或降低车内温度。这种基于人工智能的系统可以根据个人行为进行学习和适应。
• 英国汽车製造商也在为车辆后部的乘客研究类似的技术。车辆头枕中内置的两个摄像头可监控后座乘客的面部表情。如果您感到困倦，可以调暗灯光、调暗窗户或增加座椅加热。
• 2021 年 5 月，特斯拉在 Model 3 和 Model Y 上安装的高级驾驶辅助系统能够通过面部识别确认有一名引导员就座并正在集中註意力。在汽车中，摄像头数据在本地存储和分析。根据Tesla的人工智能汽车系统专利申请，该运营商正在努力使用面部生物识别技术来跟踪乘客的下落并个性化他们的设置。
• 此外，2021 年 9 月，Hyundai宣布即将推出的 Genisys 品牌首款全电动运动型多功能车 GV60 将配备名为“Face Connect”的面部识别系统。安装在 GV60 中的面部识别系统用于打开和关闭车门以及启动发动机。
• 随着汽车需求的扩大，人脸识别的需求也有望增加。根据国际汽车製造商协会的数据，预计 2021 年全球汽车销量将增长 5%，这标誌着在因 COVID-19 导致需求连续第二年下降之后出现復苏。

北美占有很大的市场份额

• 北美是世界上最大的汽车生产基地之一。近年来，汽车行业呈现边际增长。该地区的汽车行业面临来自二手车市场的激烈竞争。Cox Automotive 估计，2021 年的二手车销量将比 2020 年增长 10%，达到 4090 万辆。
• 因此，该地区的汽车製造商正在依靠生物识别技术等新技术来增加价值并在市场上脱颖而出。该地区的汽车行业是生物识别应用的新兴市场。公司正在对市场进行战略定位和细分其生物识别产品。
• 例如，2022 年 2 月，密歇根的Ford Global Technologies获得了一项内置于汽车中的面部识别系统专利，该系统可识别协助者并在视觉上解锁车门。
• 此外，2022 年 1 月，一名患者向美国专利商标局提交了申请，表明传闻中的 Apple Car 将与车载 AI 集成。该专利详细介绍了车载系统的技术规格，该系统包含一个摄像头，该摄像头可以检测坐在车内的个人的生物特征信息，并在有命令脱离车外控制时覆盖对该个人的控制. 增加。
• 该地区的汽车製造商，包括宝马、梅赛德斯-奔驰、大众和福特，已经在其具有高安全性的豪华车中提到了生物识别技术。它还提到在车辆访问、点火开关、车辆防盗器、合理化和健康监测等各个领域探索生物识别技术。

竞争格局

汽车生物识别市场竞争适度，由几家大型企业组成。然而，随着安全平台和服务的发展，新进入者正在增加他们在市场中的存在并扩大他们在新兴国家的业务发展。以下是我们最近的一些市场发展。

• 2022 年 5 月 - Dermalog 和 Rheinmetall 合作成立 Rheinmetall Dermalog Sensatech，旨在提高道路安全。新公司将为汽车製造商提供创新的生物识别技术。
• 2021 年 11 月——汽车製造商Daimler Mobility unit宣布与 Visa 合作，以确认使用指纹扫描的车辆进行安全数字支付，无需语音命令或 PIN 码的辅助工具可让您购物。该技术将于 2022 年在英国推广，然后在全球推广。

其他福利。

• Excel 格式的市场预测 (ME) 表
• 3 个月的分析师支持

目录

第 1 章 简介

• 研究假设和市场定义
• 调查范围

第二章研究方法论

第三章执行摘要

第四章市场动态

• 市场概况
• 行业吸引力——波特五力分析
  • 买方议价能力
  • 供应商的议价能力
  • 新进入者的威胁
  • 替代品的威胁
  • 竞争对手之间的竞争
• 行业价值链分析
• 市场驱动力
  • 汽车行业新兴市场对安全和安保系统的需求不断增长
  • 配备生物识别技术的车辆的保险公司福利
• 市场製约因素
  • 缺乏标准化
• COVID-19 的市场影响评估

第五章市场细分

• 类型
  • 硬件
  • 软件
• 扫描仪类型
  • 指纹认证
  • 虹膜识别
  • 手掌识别
  • 面部识别
  • 语音识别
  • 其他扫描仪类型
• 按地区
  • 北美
  • 欧洲
  • 亚太地区
  • 拉丁美洲
  • 中东和非洲

第 6 章 竞争格局

• 公司简介
  • Synaptics Incorporated
  • Fingerprint Cards AB
  • Aware Inc.
  • Cerence Inc.（Nuance Communications Inc.）
  • Continental AG
  • Sensory Inc.
  • Shenzhen Goodix Technology Co. Ltd
  • B-Secur Ltd
  • EyeLock Inc.
  • Precise Biometrics AB□

第七章投资分析

第 8 章 未来趋势

The global biometric in the automotive market is expected to register a CAGR of 18.2% during the forecast period. After the increased adoption of biometrics in electronic devices, the applications of biometrics in automotive vehicles have also been gaining traction in recent years. Yet the implementation of this technology has been limited to the premium vehicle segment, but in recent years, its applications are estimated to enter the general personal vehicle segment due to its better vehicle security and other accessibility advantages.

Key Highlights

• In the automotive industry, the application of biometrics lies in various areas, including access control for starting a vehicle using various biometric scanners, enabling personalized vehicles for the users to allow drivers and passengers to call up playlists, contacts, and preferred apps. The application of these biometrics in automotive vehicles is expected to increase during the forecast period.
• Iris recognition is considered a reliable and accurate biometric technique for authentication of the driver in automobiles, and players are approaching with more features, such as securing the multiple services offered through the gateway. In April 2022, Hyundai filed a patent for a system that uses iris scanning technology to verify the driver's identity when they get into the vehicle. This system also prevents someone from starting the vehicle unless there is a biometric match.
• Recently, EyeLock announced a collaboration to apply its iris biometric authentication technology to the SiriusXM e-Wallet in a highly secure, touchless gateway prototype. Drivers and passengers will be able to find, pay, or pre-pay for coffee, gas, movie tickets, or parking while on the go. It helps to eliminate driver distractions during transaction processes, capturing driver or passenger iris biometrics with EyeLock's custom-designed, visor-mounted prototype. Such new technology caters to a new future trend in the biometric application in the iris recognition segment.
• Facial recognition has been gaining importance in the automotive sector. Automaker Subaru introduced facial recognition into its latest Forrester model. The system combines an infrared LED and a camera to monitor the driver for signs of inattention or sleepiness, warning them if needed. The system recognizes up to five individual drivers, so settings and preferences can be automatically adjusted for each person.
• Furthermore, various automobile players have also implemented fingerprint technology to unlock their cars. Fingerprint identification is majorly accepted in biometric identification as the probability of finding two same fingerprints is one in 64 billion, even with twins, increasing its credibility.
• Automobile players, such as Hyundai Motor, use fingerprints where multiple drivers can register theirs. Depending on the fingerprint, the car will automatically adjust seat positions and the angle of the rearview mirrors. Hyundai says its method to add fingerprint technology uses the human's capacitance where the reader differentiates and prevents hacking or any forged fingerprints. It has been said that the reader has an error rate of 1 in 50,000.
• Due to the COVID-19 pandemic, the production unit of automotive has fallen steeply at the global level. According to the European Automobile Manufacturers Association, EU-wide production losses due to factory shutdowns amount to at least 2,446,344 motor vehicles so far. In particular, biometric systems have been brought into the spotlight as a key technology for early detection, patient screening, and public safety monitoring in an effort to contain the spread of COVID-19; however, in the automobile sector, the demand reduced drastically due to low production of automotive and disruptions in the supply chain.

Key Market Trends

Facial Recognition is Expected to Grow at a Significant Rate

• The emphasis on the adoption of facial recognition in the automotive industry is expected to increase over the forecast period. The application of the technology helps access control of the vehicle and its safety. Enterprises in the market are looking to incorporate the solution to track driver and passenger behavior by monitoring their emotions.
• Furthermore, facial recognition solutions are also used for various automotive industry applications, such as car ignition and cutting down car thefts. These can also automatically adjust the vehicle settings and handle personal preferences, such as heat adjustment and selection of favorite music to play once the vehicle's owner is authorized.
• With autonomous cars becoming more and more relevant with the technology, using facial recognition to assimilate safety with access is expected to become more prominent. For instance, if the driver seems to be sleepy/dizzy, the vehicle can take control to ensure safety. These factors further enhance the potential of these solutions in the market.
• ​Jaguar Land Rover is testing a system for monitoring the mood of the occupant. A camera attached to the steering wheel and biometric sensors monitor the driver's facial expressions. The system continuously analyzes it and changes the cabin features automatically. For instance, if the system detects the driver is under stress, it can change the ambient lighting to calming colors. Then signs of weariness will lead to selecting a more stimulating playlist or reducing the temperature in the vehicle. The AI-based system is capable of learning and adapting accordingly to individual behavior.
• The British automaker is also researching similar technology for the passengers in the back of the vehicle. Two cameras incorporated in the headrests of the vehicle monitor the facial expressions of the rear passengers. If they get drowsy, the system can dim the lights, tint the windows, or turn up the seat heating.
• In May 2021, Tesla's advanced driver assistance systems in the Model 3 and Model Y vehicles used face recognition to ensure that the driver was seated and paying attention. Within the car, the camera data is stored and analyzed locally. According to a Tesla patent application for an AI automobile system, the business is working on leveraging face biometrics to track passenger whereabouts or personalize settings.
• Furthermore, Hyundai Motors announced in September 2021 that it would include a facial recognition system named Face Connect in its forthcoming GV60, the first all-electric sports utility vehicle from the Genisis brand. The facial recognition system in the GV60 is used to open doors and start the engine.
• With the growing demand for motor vehicles, it is expected that the demand for facial recognition will also increase. According to the International Organization of Motor Vehicle Manufacturers, global motor vehicle sales increased by 5% in 2021, representing the signs of rebounding in sales after two consecutive years of declining demand due to COVID-19.

North America Holds Significant Market Share

• North America is one of the largest automotive manufacturing hubs in the world. The automotive industry has shown marginal growth in recent years. The automotive sector in this region is facing stiff competition from the used car market. According to an estimate by Cox Automotive, there were 40.9 million used car sales in 2021, up by 10% from 2020.
• Due to this, automotive manufacturers in the region rely on newer technologies, like biometrics, to create additional value and differentiation in the market.​ The automotive sector in the region is the newly emerging market for the application of biometrics. The companies are strategically positioning and segmenting their biometric offerings toward the market.
• For instance, in February 2022, Ford Global Technologies in Michigan was awarded a patent for facial recognition systems built into the vehicles that will recognize their drivers and unlock the doors on sight.
• Further, in January 2022, a patient was filed in the United States Patents and Trademarks office, suggesting that the rumored Apple Car would be integrated with onboard AI. This patent provides details on the onboard system's technical specifications that incorporate cameras that can detect the individual's biometrics sitting in the car and override control to that individual if a command is given to break away from exterior control.
• The automotive companies in the region, including BMW, Mercedes-Benz, Volkswagen, and Ford, have already mentioned integrating biometric technology in their high-end luxury segmented cars with high-security features. The companies have mentioned exploring biometric technology in various areas, including vehicular access, ignition switch, vehicle immobilizer, rationalization, and health monitoring.​

Competitive Landscape

Biometrics in the automotive market is moderately competitive and consists of a few major players. However, with the advancement in security platform services, new players are increasing their market presence, thereby expanding their business footprint across emerging economies. Some of the recent developments in the market are:

• May 2022 - Dermalog and Rheinmetall partnered together to form Rheinmetall Dermalog SensorTec GmbH, aiming to bring enhanced safety to road traffic. The new company will supply innovative biometric technologies to vehicle manufacturers.
• Nov 2021 - The automaker's Daimler Mobility unit announced its partnership with Visa to use the fingerprint scan to verify secure digital payments from the vehicle, allowing the driver to make purchases without the need for voice commands or PINs. The technology will be rolled out in 2022 in the United Kingdom and globally later.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

• 4.1 Market Overview
• 4.2 Industry Attractiveness - Porter's Five Force Analysis
  • 4.2.1 Bargaining Power of Buyers
  • 4.2.2 Bargaining Power of Suppliers
  • 4.2.3 Threat of New Entrants
  • 4.2.4 Threat of Substitute Products
  • 4.2.5 Intensity of Competitive Rivalry
• 4.3 Industry Value Chain Analysis
• 4.4 Market Drivers
  • 4.4.1 Increase in Need for Safety and Security System Across the Emerging Markets of Automobile Sector
  • 4.4.2 Benefits From Insurance Companies for Vehicles Installed with Biometric Technology 
• 4.5 Market Restraints
  • 4.5.1 Lack of Standardization
• 4.6 Assessment of Impact of COVID-19 on the Market

5 MARKET SEGMENTATION

• 5.1 Type
  • 5.1.1 Hardware
  • 5.1.2 Software
• 5.2 Scanner Type
  • 5.2.1 Fingerprint Recognition
  • 5.2.2 Iris Recognition
  • 5.2.3 Palm Recognition
  • 5.2.4 Facial Recognition
  • 5.2.5 Voice Recognition
  • 5.2.6 Others Scanner Types
• 5.3 Geography
  • 5.3.1 North America
  • 5.3.2 Europe
  • 5.3.3 Asia-Pacific
  • 5.3.4 Latin America
  • 5.3.5 Middle East and Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Company Profiles
  • 6.1.1 Synaptics Incorporated
  • 6.1.2 Fingerprint Cards AB
  • 6.1.3 Aware Inc.
  • 6.1.4 Cerence Inc. (Nuance Communications Inc.)
  • 6.1.5 Continental AG
  • 6.1.6 Sensory Inc.
  • 6.1.7 Shenzhen Goodix Technology Co. Ltd
  • 6.1.8 B-Secur Ltd
  • 6.1.9 EyeLock Inc.
  • 6.1.10 Precise Biometrics AB​

7 INVESTMENT ANALYSIS

8 FUTURE TRENDS