Smart Cars, Payment Cards, and Face ID Copycats Among Goode Intelligence Predictions for Biometrics in 2018

Goode Intelligence has issued its predictions for biometrics industry’s year to come, seeing innovation and growth across a range of areas.

One of the trends is already taking shape ahead of next week’s Consumer Electronics Show, with multiple firms having announced experimental smart and connected car technologies to be showcased at the event, many of which make use of biometrics for user identification. Goode Intelligence predicts that more luxury vehicles will integrate biometric sensors in 2018, and that more cars will support remote unlocking from biometric smartphones.

Another big trend on the horizon is biometric payment cards, with a frenzy of activity over the last year having laid the groundwork for large-scale deployments this year. While there are signs that Mastercard could roll out fingerprint-scanning credit cards in the early part of this year, Goode Intelligence is a little more cautious, predicting “increased pilot activity” over the year, “with a possibility of live deployments nearer the end of the year.” Meanwhile, biometric authentication will continue to extend across more channels in the financial services industry more broadly.

Fingerprint sensors will also continue their expansion in the mobile domain, even as new modalities like iris and facial recognition make inroads; Goode Intelligence asserts that “the percentage of smartphones that ship with integrated fingerprint sensors will climb to 55 percent for 2018”, with innovative new offerings like in-display sensors being added to the mix. At the same time, “a number of mobile OEMs” will emulate Apple’s Face ID system, either as part of a multi-factor framework or as a replacement for fingerprint recognition.

Other trends outlined by Goode Intelligence include the emergence of biometric authentication on wearables, particularly with respect to EEG; increasing use of biometrics in the enterprise and digital identity verification; and the growing importance of AI and machine learning. All of which points to another exciting year ahead for biometrics.

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January 4, 2018 – by Alex Perala