March 28, 2017 -
The three companies are featured prominently within Juniper’s Biometric Platform Disruptors & Challengers Quadrant, released as part of its Mobile Payment Security: Biometric Authentication & Tokenisation research.
Juniper defines leading disruptors as companies who possess the capabilities to disrupt the wider mobile ecosystem through the implementation of their platforms.
The research firm asserted that while the biometrics sector itself is relatively mature, few deployments in the mobile space have achieved a critical mass of adoption in either the areas of payment or authentication.
Juniper stated that G&D has an extensive breadth and depth of FIDO-certified solutions encompassing face, iris, voice and fingerprint technologies.
The company is increasingly offering its solutions across the mobile environment, meaning that it is well placed to take advantage of the growing demand for biometric authentication, Juniper said.
“With consumers increasingly willing to embrace biometrics as a more convenient alternative to passwords, players that can offer secure, user-friendly authentication platforms could contribute significantly to the evolution of the mobile payment space,” research author Dr Windsor Holden said.
The Juniper Quadrant also recognized HYPR Corp as a ‘catalyst’ within the field. As a first-mover in the biometric tokenization space and several key clients under its belt, HYPR Corp is well positioned to benefit from enterprise interest in deployments, according to Juniper.
The research also found that the value of all smartphone biometrically authenticated transactions is expected to increase from $14.2 billion in 2016 to nearly $655 billion in 2021, with Apple Pay currently accounting for more than 85 percent of these transactions.
The complimentary whitepaper, ‘Mobile Biometrics ~ Thumbs Up?‘, is available to download from the Juniper website.
Previously reported, Juniper Research released a study which finds that biometric authentication is ready to move beyond fingerprints alone and use several different identifiers, including facial recognition and voiceprints.