Report Summary

Automotive Biometrics Market Analysis and Forecasts 2021-2026 is a 178 page in-depth investigation of the market for biometric technology for the automotive industry.

Author: Alan Goode
Publication Date: Sep 24 2020
Number of Pages: 178

Report Information

Full Product Description

The 178-page report includes a comprehensive review of current global adoption, market analysis including key drivers and barriers for adoption, technology analysis and profiles of companies supplying products and services in this area along with detailed forecasts (regional and global) for auto biometric technology and revenue for 2021-2026. In addition, it features exclusive and in-depth interviews with leading experts in the auto biometrics industry.

Goode Intelligence forecasts that the revenue opportunity for biometric systems for the automotive industry will be valued at over $560 million by 2026.

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Automotive Biometrics reveals the major trends that are shaping the landscape for the auto biometrics industry from 2021-2026, the impact of the COVID-19 pandemic on the market and details the changes since 2017. Three main drivers for adopting biometric technology are identified. Personalisation is the number one priority for auto OEMs based on authenticating drivers and passengers. This is followed by health and wellness monitoring and thirdly, in-car payments.

With biometric technology being integrated in a number of areas including in-cabin, the exterior (moving away from integrating in door handles to in-glass and in the B-Pillar of a vehicle), in smartphones and with the potential for wearables, the report details that face biometrics has joined fingerprint as the preferred modality. This echoes trends already seen within other sectors. In addition, voice biometrics is viewed as a natural way to authenticate drivers and passengers when interacting with speech recognition systems. “A positive driver for deploying biometric systems for automobiles is for ‘touchless’ identification and authentication. This is especially important for drive-sharing and rental car delivery models. The ability to accurately identify and authenticate car users without physically touching a sensor or device is a compelling narrative in the current COVID-19 world”, says Alan Goode, Founder and CEO of Goode Intelligence and author of the report.

Companies referenced in this report include: Eyelock, Fingerprint Cards, Princeton Identity, FaceTec, IDEMIA, iProov, Thales Gemalto, Goodix, Precise Biometrics, IDEX Biometrics, Qualcomm, Silead, Synaptics, Sonavation, B-Secur, Nymi, Nuance Communications, Sensory Inc, Mercedes-Benz, Byton, Lynk, Subaru, Hyundai, Nissan, Jaguar Landrover, Tesla, Apple, BorgWarner, Bosch, Continental, IAV, Magna, NXP, Infineon, Intel, ARM, Geely, Volvo, SoftServe, Olea Sensor Networks, Changhong Research, Freer Logic, FlexEnable, Touch Biometrix, Gentex, Voxx International, FotoNation, Kyocera, IriTech, Cerence, HYPR, Nok Nok Labs, Gilbarco Veeder-Root, IPS Group, PayByPhone, Here Technologies, BMW, Audi, Pioneer, Uber, Microsoft, GM, Clear, Hertz, FIDO Alliance, Global Crossing, Car Connectivity Consortium, Allianz, Token, Seeing Machines, Egis, Tascent, Brightek, Epistar, Epileds, OSRAM, Vishay, Applied Recognition, Cognitec, iProov, Face++, Samsung, HARMAN International, Auraya, ID R&D, LumenVox, Phonexia, VocalZoom, Bitbrain.