汽車生物識別市場 - 增長、趨勢、COVID-19 影響和預測（2022-2027 年）

在預測期內，全球汽車生物識別市場預計將以 18.2% 的複合年增長率增長。

在將生物識別技術引入電子設備後，近年來生物識別技術在汽車上的應用不斷擴大。然而，雖然這項技術的採用僅限於高檔汽車領域，但我們推測近年來，由於更好的車輛安全性和其他可訪問性優勢，它的應用也將進入普通個人汽車領域。

主要亮點

• 在汽車行業，生物識別技術的應用包括使用各種生物識別掃描儀、輔助工具對車輛啟動進行訪問控制，以及為用戶提供個性化的車輛定制，乘客可以在其中調用播放列表、聯繫人和喜歡的應用程序，它存在於實現等各個領域。在預測期內，這些生物識別技術的汽車應用預計將增加。
• Iris Recognition 被認為是一種可靠且準確的生物識別技術，用於對汽車中的輔助人員進行身份驗證，並且玩家正在接近它以提供更多功能，例如保護通過網關提供的多種服務。2022 年 4 月，現代汽車公司申請了一項系統專利，該系統使用虹膜掃描技術在進入車輛時驗證服務人員的身份。該系統還可以防止任何人在沒有匹配生物特徵的情況下啟動車輛。
• iRock 最近宣布合作將其虹膜生物識別技術應用於 Sirius XM 電子錢包，作為高度安全的非接觸式網關的原型。服務商和乘客將能夠在旅途中找到、支付和預購咖啡、汽油、電影票、停車位等。此外，Airoc 定制設計的安裝有護目鏡的原型可以捕獲協助者和乘客的虹膜生物特徵，以消除協助者在交易處理過程中的分心。這種新技術解決了虹膜識別領域生物識別應用的新未來趨勢。
• 人臉識別在汽車領域也越來越重要。汽車製造商Subaru在其最新的 Forester 車型中引入了面部識別功能。該系統結合了紅外 LED 和攝像頭，可監控促進性注意力不集中和嗜睡的跡象，並在必要時發出警報。它還可以識別多達五個人的驅動因素，因此它可以自動調整每個人的設置和偏好。
• 此外，各種汽車製造商已經引入指紋技術來解鎖他們的汽車。指紋認證是最可靠和被廣泛接受的生物特徵認證形式之一，因為找到兩個相同指紋的機率是 640 億分之一，即使是雙胞胎也是如此。
• 現代汽車等多家服務商允許您註冊指紋。您的指紋會自動調整您的座椅位置和後視鏡角度。現代汽車錶示，指紋認證方式使用人體電容，讀取器識別指紋，防止黑客入侵和偽造。指紋認證錯誤率據說是1/50,000。
• 由於 COVID-19 大流行，全球汽車產量急劇下降。根據歐洲汽車製造商協會的數據，由於工廠關閉，整個歐盟至少有 2,446,344 輛汽車在生產中損失。特別是，生物特徵認證系統作為早期檢測、患者篩查和公共安全監測以阻止 COVID-19 傳播的關鍵技術引起了人們的關注。需求正在急劇下降。

主要市場趨勢

面部識別有望顯著增長

• 強調在汽車行業採用面部識別技術，預計在預測期內將增加。該技術的應用對於車輛訪問控制及其安全性非常有用。市場服務商公司希望採用此解決方案來監控服務商和乘客的情緒並跟蹤行為。
• 此外，面部識別解決方案還用於汽車點火、汽車防盜等各種汽車行業應用。他們還可以自動調整汽車設置以適應個人喜好，例如在車主通過身份驗證後調整供暖或播放您喜歡的音樂。
• 隨著自動駕駛汽車在技術上變得越來越重要，使用面部識別來吸收安全和訪問預計將變得更加突出。例如，如果輔導員昏昏欲睡或頭暈目眩，車輛可以控制並保證您的安全。這些因素進一步增加了這些解決方案在市場上的潛力。
• Jaguar Land Rover Automotive PLC正在測試一種系統來監控乘客的情緒。安裝在方向盤上的攝像頭和生物傳感器會監控引導者的面部表情。系統不斷對其進行分析並自動更改機艙的功能。例如，如果輔導員檢測到您有壓力，它可以將您周圍的燈光更改為更平靜的顏色。如果有疲倦跡象，選擇更刺激的播放列表或降低車內溫度。這種基於人工智能的系統可以根據個人行為進行學習和適應。
• 英國汽車製造商也在為車輛後部的乘客研究類似的技術。車輛頭枕中內置的兩個攝像頭可監控後座乘客的面部表情。如果您感到困倦，可以調暗燈光、調暗窗戶或增加座椅加熱。
• 2021 年 5 月，特斯拉在 Model 3 和 Model Y 上安裝的高級駕駛輔助系統能夠通過面部識別確認有一名引導員就座並正在集中註意力。在汽車中，攝像頭數據在本地存儲和分析。根據Tesla的人工智能汽車系統專利申請，該運營商正在努力使用面部生物識別技術來跟蹤乘客的下落並個性化他們的設置。
• 此外，2021 年 9 月，Hyundai宣布即將推出的 Genisys 品牌首款全電動運動型多功能車 GV60 將配備名為“Face Connect”的面部識別系統。安裝在 GV60 中的面部識別系統用於打開和關閉車門以及啟動發動機。
• 隨著汽車需求的擴大，人臉識別的需求也有望增加。根據國際汽車製造商協會的數據，預計 2021 年全球汽車銷量將增長 5%，這標誌著在因 COVID-19 導致需求連續第二年下降之後出現復甦。

北美佔有很大的市場份額

• 北美是世界上最大的汽車生產基地之一。近年來，汽車行業呈現邊際增長。該地區的汽車行業面臨來自二手車市場的激烈競爭。Cox Automotive 估計，2021 年的二手車銷量將比 2020 年增長 10%，達到 4090 萬輛。
• 因此，該地區的汽車製造商正在依靠生物識別技術等新技術來增加價值並在市場上脫穎而出。該地區的汽車行業是生物識別應用的新興市場。公司正在對市場進行戰略定位和細分其生物識別產品。
• 例如，2022 年 2 月，密歇根的Ford Global Technologies獲得了一項內置於汽車中的面部識別系統專利，該系統可識別協助者並在視覺上解鎖車門。
• 此外，2022 年 1 月，一名患者向美國專利商標局提交了申請，表明傳聞中的 Apple Car 將與車載 AI 集成。該專利詳細介紹了車載系統的技術規格，該系統包含一個攝像頭，該攝像頭可以檢測坐在車內的個人的生物特徵信息，並在有命令脫離車外控制時覆蓋對該個人的控制. 增加。
• 該地區的汽車製造商，包括寶馬、梅賽德斯-奔馳、大眾和福特，已經在其具有高安全性的豪華車中提到了生物識別技術。它還提到在車輛訪問、點火開關、車輛防盜器、合理化和健康監測等各個領域探索生物識別技術。

競爭格局

汽車生物識別市場競爭適度，由幾家大型企業組成。然而，隨著安全平台和服務的發展，新進入者正在增加他們在市場中的存在並擴大他們在新興國家的業務發展。以下是我們最近的一些市場發展。

• 2022 年 5 月 - Dermalog 和 Rheinmetall 合作成立 Rheinmetall Dermalog Sensatech，旨在提高道路安全。新公司將為汽車製造商提供創新的生物識別技術。
• 2021 年 11 月——汽車製造商Daimler Mobility unit宣布與 Visa 合作，以確認使用指紋掃描的車輛進行安全數字支付，無需語音命令或 PIN 碼的輔助工具可讓您購物。該技術將於 2022 年在英國推廣，然後在全球推廣。

其他福利。

• Excel 格式的市場預測 (ME) 表
• 3 個月的分析師支持

目錄

第 1 章 簡介

• 研究假設和市場定義
• 調查範圍

第二章研究方法論

第三章執行摘要

第四章市場動態

• 市場概況
• 行業吸引力——波特五力分析
  • 買方議價能力
  • 供應商的議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭對手之間的競爭
• 行業價值鏈分析
• 市場驅動力
  • 汽車行業新興市場對安全和安保系統的需求不斷增長
  • 配備生物識別技術的車輛的保險公司福利
• 市場製約因素
  • 缺乏標準化
• COVID-19 的市場影響評估

第五章市場細分

• 類型
  • 硬件
  • 軟件
• 掃描儀類型
  • 指紋認證
  • 虹膜識別
  • 手掌識別
  • 面部識別
  • 語音識別
  • 其他掃描儀類型
• 按地區
  • 北美
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東和非洲

第 6 章 競爭格局

• 公司簡介
  • 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□

第七章投資分析

第 8 章 未來趨勢

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