Face, Iris and pulse-based biometric authentication systems will eventually make its way across the market share of fingerprint technologies. This information comes from a recent report from ABI Research.
Tried and Tested
According to the analyst claimed in its Biometric Technologies and Applications, the falling cost of iris recognition will encourage uptake. At the same time, facial recognition continues to improve in accuracy thanks to advanced algorithms in machine learning.
Face recognition has already seen a significant increase in penetration after Apple chose to incorporate it into their latest higher-end phone model, the iPhone X. Samsung, on the other hand, offers iris recognition in the Galaxy S8 and S9, the analyst continued.
The Internet of Things is also driving an uptake in newer biometric systems: with card-less ATMs currently in development by Samsung and Diebold Nixdorf, OEMs in the Automotive sector which includes heavy investments by GM, Nissan and Volvo. What’s more, new government rules in APAC are set to mandate biometrics in a whole variety of sectors. This includes internet banking and telecoms, ABI Research claimed.
Still time for Fingerprint Technology to Progress
However, this does not mean we should expect to wave goodbye to the fingerprint era. According to industry analyse Dimitrios Pavlakis:
“Even though fingerprint sensor ASPs have taken a significant hit over the last couple of years, total fingerprint sensor shipments for the entire consumer market is still estimated to reach 1.2 billion worldwide for 2018, thus ensuring its market dominance,” he claimed.
“However, from established markets such as banking and payments to emerging ones like automotive and future-looking ones including robotics, we expect to see an increase in multi-modal applications and a scenario where biometrics is a critical component of a user’s digital ID in the emerging IoT ecosystem.”
Ryan Wilk, vice-president at NuData Security, said convenience, context and security are crucial to the biometric authentication market.
“One thing that does not change is human behaviour; an identifier that cyber-criminals cannot mimic. By better understanding and contextualizing human behaviour — not just their physical characteristics — companies can have a better understanding of who the human behind the device really is,” he added.