- Global Pharma News & Resources

Global Biometrics for Payments Market and Technology Analysis, Adoption Strategies and Forecasts 2018-2023 -

The "Biometrics for Payments; Market and Technology Analysis, Adoption Strategies and Forecasts 2018-2023 - Second Edition" report has been added to's offering.

This is the second edition of the Biometrics for Payments report, first published in 2015 that is an investigation into the use of biometric technology for payments.

It includes:

  • Review of current global adoption
  • Market analysis, including key drivers and barriers for adoption across a wide range of payment scenarios
  • Technology analysis
  • Analysis of important technology vendors and services providers operating in this sector
  • Forecasts for users and revenue within the six-year period 2018 to 2023

It also explores some of the key considerations for payment providers when deploying biometric technology including the impact of both state and industry regulation.

This research predicts that there will be over 2.6 billion biometric payment users by 2023 with the use of biometrics being driven by a number of factors including:

  • Desire for frictionless authentication while paying in all channels
  • The need to reduce payment fraud
  • Industry and state regulation
  • Technology standardisation

The report covers the following payment channels:

  • Physical locations using biometric technology integrated into payment terminals (Naked Payments), biometric payment cards or by using smart devices;
  • Digital Payments including eCommerce, mCommerce, wCommerce, IoT and Cryptocurrency;
  • ATMs for cash and Cryptocurrency.

An investigation into adoption around the world includes biometrics being used for digital onboarding (eIDV), identity verification (proofing), payment user authentication, payment transaction authorisation and fraud detection.

Important biometric modalities for payments include fingerprint, voice, face, finger-vein, palm-vein, behavioural and iris. Emerging biometric modalities include heart (ECG) and palm-print.

An analysis of the advantages and disadvantages of the main biometric architectural models, decentralized and cloud-based (biometric identity as a service) are included.

For more information about this report visit

View source version on

Editor Details

Last Updated: 12-Nov-2018