Using facial recognition for payment authentication will definitely transform the world of e-commerce by 2025. 

A report from Juniper Research claims the use of such software is set to rise 120% from just 671 million in 2020, with software-based facial recognition set to exceed 1.4 billion users around the globe by 2025.

The rise is largely attributed to affordable accessibility, as millions of mobile users now have a front-facing camera and compatible software such as Apple’s FaceID, despite the fact that many users have been hampered with facemasks during the coronavirus pandemic. However, the findings underline the need for facial recognition vendors to roll out more effective AI-based verification checks.

The report warns that a failure to improve the validity of a users identity during online transactions could reduce user confidence. While payment authentication is set to undergo a huge transformation over the next few years, the study also highlights the wider improvements that are happening.

Fingerprint sensors are another growth area, with 93% of smartphones expected to feature biometric capabilities by 2025. Conversely, hardware-based facial recognition is expected to feature on just 17% of biometrically equipped smartphones featuring these capabilities in 2025.

Similarly, the appeal of voice recognition for payments is growing and is expected to rise from just 111 million users in 2020 to over 704 million by 2025. The report also suggests its use will struggle to go much higher. According to the research co-author Susan Morrow:

Hardware-based facial recognition is growing, but the ability to carry out facial recognition via software is limiting its adoption rate. As the need for a secure mobile authentication environment grows, smartphone vendors will need to increasingly turn to more robust hardware-based systems to keep pace with fraudsters’ evolving tactics.”

The report findings conclude by recommending that vendors employ a multi-method biometric strategy by combining the use of facial recognition and fingerprints along with voice and behavioural indicators to improve the secure payment environment.

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Nikoleta Yanakieva Editor at DevStyleR International
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