1. Market Research
  2. > Financial Services
  3. > Banking
  4. > Payments Market Trends
  5. > Biometrics for Payments - Payment Security Gets Personal; Market & Technology Analysis, Adoption Strategies & Forecasts 2015-2020

Biometrics for Payments - Payment Security Gets Personal; Market and Technology Analysis, Adoption Strategies & Forecasts 2015-2020 is a 243 page report that provides detailed analysis and market forecasts for the adoption of biometrics for payments.

Table Of Contents

Biometrics for Payments - Payment Security Gets Personal; Market and Technology Analysis, Adoption Strategies and Forecasts 2015-2020
Forward
Goode Intelligence
Author
Goode Intelligence Methodology
Regional Definitions
ES Executive Summary
ES1 Report Scope
ES2 Market and Technology Analysis
ES2.1 An Introduction to Biometric Technologies
ES2.1.1 Biometrics Definition
ES2.1.2 Biometric Authentication
ES2.2 How is Biometrics used for Payments
ES2.2.1 How to Measure Biometric Technology? A Guide to Choosing the Right Biometric System
ES2.3 Market Drivers and Barriers
ES2.3.1 Market Drivers
ES2.3.2 Market Barriers
ES2.4 Financial Services and Payments Biometric Regulation and Technology Standards
ES2.4.1 Regulation
ES2.4.2 Industry Regulation / Guidelines
ES2.4.3 Technology Standards
ES2.5 Technology and Market Adoption
ES2.5.1 Market Adoption and Analysis
ES2.5.1.1 So, Why Biometrics Now?
ES2.5.1.2 Biometrics For Physical Store Payments
ES2.5.1.3 Biometrics for eCommerce Payments
ES2.5.1.4 Biometrics for mCommerce Payments - Payment Apps
ES2.5.1.5 Biometrics for Wearable Payments (wCommerce)
ES2.5.1.6 Biometrics for Bitcoin and Blockchain Payments
ES2.5.1.7 Biometrics for ATMs
ES2.6 Biometric Technology - Analysis and Vendors
ES2.6.1 Behavioral Biometrics
ES2.6.1.1 Advantages and Disadvantages of Behavioral Biometrics
ES2.6.2 Eye Biometrics
ES2.6.2.1 Iris
ES2.6.2.1.1 Advantages and Disadvantages of Iris Biometrics
ES2.6.2.2 Eye-Vein
ES2.6.2.2.1 Advantages and Disadvantages of Eye-Vein Biometrics
ES2.6.3 Face Biometrics
ES2.6.3.1 Advantages and Disadvantages of Face Biometrics
ES2.6.4 Fingerprint Biometrics
ES2.6.4.1 Advantages and Disadvantages of Fingerprint Biometrics
ES2.6.4.5 Heart Biometrics
ES2.6.4.5.1 Advantages and Disadvantages of Heart Biometrics
ES2.6.6 Voice Biometrics
ES2.6.6.1 Advantages and Disadvantages of Voice Biometrics
ES2.6.7 Finger-Vein Biometrics
ES2.6.7.1 Advantages and Disadvantages of Finger-Vein Biometrics
ES2.6.8 Palm-Vein Biometrics
ES2.6.8.1 Advantages and Disadvantages of Palm-Vein Biometrics
ES3 Forecasts
ES3.1 Methodology and Assumptions
ES3.2 Biometric For Payments Forecasts
ES3.2.1 Introduction
ES3.2.2 Biometrics for Payments User Forecasts
ES3.2.2.1 Biometrics for Payments User Forecasts - By Technology
ES3.2.2.2 Biometrics for Payments User Forecasts - By Payment Type
ES3.2.3 Biometrics for Payments Revenue Forecasts
ES3.2.3.1 Biometrics for Payments Revenue Forecasts - By Technology
ES3.2.4 Biometrics for Payment Transaction and Transaction Value Forecasts
ES3.2.4.1 Assumptions on Transaction and Transaction Value Forecasts
ES3.2.4.2 Biometric for Payments Transaction Forecasts - Total Transactions
ES3.2.4.3 Biometrics for Payments Transaction Forecasts - Total Value ($)
ES4 Conclusions

1 Market and Technology Analysis
1.1 Introduction
1.2 An Introduction to Biometric Technologies
1.3 Biometrics Definition
1.4 How Biometrics Works
1.5 Biometric Authentication
1.6 How is Biometrics used in Payments
1.7 Market Drivers and Barriers
1.7.1 Market Drivers
1.7.2 Market Barriers
1.8 Financial Services and Payments Biometric Regulation and Technology Standards
1.8.1 Introduction
1.8.2 Regulation
1.8.3 State and Federal Regulation
1.8.3.1 European Union (EU) Data Protection Act (DPA)
1.8.3.2 European Union Payment Services Directive (PSD) II
1.8.4 Industry Regulation / Guidelines
1.8.4.1 PCI-DSS
1.8.4.2 USA FFIEC
1.8.4.3 EMV
1.8.4.4 3D Secure
1.8.4.5 Bank of Korea
1.8.4.6 Bank of China
1.8.4.7 Hong Kong - The Office of the Privacy Commissioner for Personal Data
1.8.5 Technology Standards
1.8.5.1 Introduction
1.8.5.2 ISO
1.8.5.3 ANSI
1.8.5.4 UK CESG
1.8.5.5 USA NIST
1.8.5.6 The FIDO Alliance
1.8.5.7 The Natural Security Alliance
1.8.5.8 IEEE Biometric Open Protocol Standard (BOPS)
1.9 Technology and Market Adoption
1.9.1 Market Adoption and Analysis
1.9.1.1 Biometrics for Payments
1.9.1.1.2 So, Why Biometrics Now?
1.9.1.1.3 The Move towards Multi-Modal Biometrics
1.9.1.2 Biometrics for Physical Retail Store Payments - Point-of-Sale Terminal Integration
1.9.1.2.1 Introduction
1.9.1.2.2 Card-less Biometric Payment at the Point-of-Sale
1.9.1.2.3 Match-on-Card Biometrics at the Point-of-Sale
1.9.1.3 Biometrics for eCommerce Payments
1.9.1.3.1 Introduction
1.9.1.3.2 Continuous Verification using BehavioSec's BehavioWeb
1.9.1.3.3 BioCatch Behavioral Biometrics reduces Fraud by Securing New Account Set-up and Reduces Vishing Fraud Exposure
1.9.1.3.4 Using Biometrics to support Know Your Customer (KYC) and Anti-Money Laundering (AML) methods: Facebanx Biometric Identity Management Solutions
1.9.1.4 Biometrics for mCommerce Payments - Mobile Payments
1.9.1.4.1 Introduction
1.9.1.4.2 Smart Mobile Device OEMs and Platforms
1.9.1.4.2.1 Apple Pay
1.9.1.4.2.2 Android Pay
1.9.1.4.2.3 Samsung Pay
1.9.1.4.3 Card Schemes
1.9.1.4.3.1 Mastercard - Pay by Selfie
1.9.1.4.4 eCommerce Payment Providers
1.9.1.4.4.1 Alipay
1.9.1.4.4.2 PayPal
1.9.1.4.5 Mobile Network Operators - Direct Carrier Billing
1.9.1.4.5.1 NTT DOCOMO
1.9.1.5 Biometrics for Wearable Payments (wCommerce)
1.9.1.5.1 Introduction
1.9.1.5.2 The Nymi Band - Showcasing Biometric Wearable Payments
1.9.1.6 Biometrics for Bitcoin and Blockchain Payments
1.9.1.6.1 Introduction
1.9.1.6.2 Using Biometrics to Secure Bitcoin and Other Digital Currency Platforms by answering the key question, “Am I Who I Say I Am” - HYPR Corp.
1.9.1.6.3 Case - The Hardware Bitcoin Wallet Secured by Biometrics
1.9.1.6.4 NYMI - The First Wearable Bitcoin Wallet Secured by Biometrics
1.9.1.7 Biometrics for ATMs (Cash Payments)
1.9.1.7.1 Introduction
1.9.1.7.2 Cash
1.9.1.7.2.1 Biometric Technology Integrated into ATM
1.9.1.7.2.1.1 Planet Cash Biometric ATM Network in Poland - Card-Less Cash Withdrawal using Hitachi's Vein-ID Biometrics
1.9.1.7.2.1.2 Brazilian Biometric ATMs Powered by Lumidigm's Multi-Spectral Imaging Fingerprint Sensors
1.9.1.7.2.1.3 Banco Bradesco in Brazil Reduces ATM Fraud by Deploying Fujitsu's PalmSecure Palm-Vein Technology
1.9.1.7.2.2 Biometric Technology Integrated into Separate Technology for use at ATM
1.9.1.7.2.2.1 Leveraging Mobile-based Biometrics for ATM Cash Withdrawals - Hoyos Labs 1U ATM
1.9.1.7.2.3 Biometric Bank and Payment Cards
1.9.1.7.2.3.1 Integrated Sensor Biometric Cards
1.9.1.7.2.3.2 How does the Technology Work?
1.9.1.7.2.3.3 Match-on-Card Biometric Cards
1.9.1.7.2.4 Bitcoin ATMs
1.9.1.7.2.4.1 Introduction
1.9.1.7.2.4.2 Robocoin deploys Biometrics to Bitcoin ATMs… then remove it
1.9.2 Biometric Technology - Analysis and Vendors
1.9.2.1 Introduction
1.9.2.3 Behavioral Biometrics
1.9.2.3.1 Introduction
1.9.2.3.2 Technology Vendors and Service Providers
1.9.2.3.2.1 BehavioSec
1.9.2.3.2.2 Encap Security
1.9.2.3.2.3 Biometric Signature ID
1.9.2.3.2.4 BioCatch
1.9.2.3.3 Advantages and Disadvantages of Behavioral Biometrics
1.9.2.4 Eye (Ocular) Biometrics
1.9.2.4.1 Introduction
1.9.2.4.2 Iris
1.9.2.4.2.1 Introduction
1.9.2.4.2.2 Technology Vendors and Service Providers
1.9.2.4.2.2.1 EyeLock
1.9.2.4.2.2.2 Hoyos Labs
1.9.2.4.2.2.3 Fotonation / Smart Sensors
1.9.2.4.2.3 Advantages and Disadvantages of Iris Biometrics
1.9.2.4.3 Eye-Vein
1.9.2.4.3.1 Introduction
1.9.2.4.3.2 Technology Vendors and Service Providers
1.9.2.4.3.2.1 EyeVerify
1.9.2.4.3.3 Advantages and Disadvantages of Eye Vein Biometrics
1.9.2.5 Face
1.9.2.5.1 Introduction
1.9.2.5.2 Technology Vendors and Service Providers
1.9.2.5.2.1 Facebanx
1.9.2.5.2.2 KeyLemon
1.9.2.5.2.3 Daon IdentityX
1.9.2.5.3 Advantages and Disadvantages of Face Biometrics
1.9.2.6 Fingerprint
1.9.2.6.1 Introduction
1.9.2.6.2 Technology Vendors and service Providers - Fingerprint Sensor Manufacturers and Authentication Integrators
1.9.2.6.2.1 Fingerprint Cards
1.9.2.6.2.2 IDEX
1.9.2.6.2.3 Dermalog
1.9.2.6.2.4 Lumidigm - HID Global
1.9.2.6.2.5 Next Biometrics
1.9.2.6.2.6 Sonavation
1.9.2.6.2.7 Qualcomm
1.9.2.6.2.8 Synaptics Biometric Products Division
1.9.2.6.2.9 Nok Nok Labs
1.9.2.6.2.10 BIO-key
1.9.2.6.2.11 Zwipe
1.9.2.6.3 Camera-based Fingerprint Biometrics - Touchless
1.9.2.6.3.1 Technology Vendors and Service Providers - Touchless Fingerprint Biometrics
1.9.2.6.3.1.1 Diamond Fortress
1.9.2.6.3.1.1 IDair
1.9.2.6.4 Advantages and Disadvantages of Fingerprint Biometrics
1.9.2.7 Heart
1.9.2.7.1 Introduction
1.9.2.7.2 Technology Vendors and Service Providers
1.9.2.7.2.1 Nymi
1.9.2.7.3 Advantages and Disadvantages of Heart Biometrics
1.9.2.8 Voice
1.9.2.8.1 Introduction
1.9.2.8.2 Technology Vendors and Service Providers
1.9.2.8.2.1 Agnitio
1.9.2.8.2.2 Nuance
1.9.2.8.2.3 ValidSoft
1.9.2.8.2.4 VoiceVault / SayPay
1.9.2.8.2.5 VoiceTrust
1.9.2.8.3 Advantages and Disadvantages of Voice Biometrics
1.9.2.9 Finger-Vein
1.9.2.9.1 Introduction
1.9.2.9.2 Technology Vendors and Service Providers
1.9.2.9.2.1 Hitachi
1.9.2.9.3 Advantages and Disadvantages of Finger-Vein Biometrics
1.9.2.10 Palm-Vein
1.9.2.10.1 Introduction
1.9.2.10.2 Technology Vendors and Service Providers
1.9.2.10.2.1 Fujitsu
1.9.2.10.3 Advantages and Disadvantages of Palm-Vein Biometrics
2 Forecasts
2.1 Methodology and Assumptions
2.2 Biometrics for Payments Forecasts
2.2.1 Introduction
2.2.2 Biometrics for Payments User Forecasts
2.2.2.1 Biometrics for Payments User Forecasts - By Technology
2.2.2.1.1 Biometrics for Payments User Forecasts - By Technology: Fingerprint
2.2.2.1.1.1 Fingerprint Biometric Payments Users - Forecast Highlights
2.2.2.1.2 Biometrics for Payments User Forecasts - By Technology: Voice
2.2.2.1.2.1 Voice Biometric Payments Users - Forecast Highlights
2.2.2.1.3 Biometrics for Payments User Forecasts - By Technology: Eye (Iris and Eye-Vein)
2.2.2.1.3.1 Eye Biometric Payments Users - Forecast Highlights
2.2.2.1.4 Biometrics for Payments User Forecasts - By Technology: Behavioral
2.2.2.1.4.1 Behavioral Biometric Payments Users - Forecast Highlights
2.2.2.1.5 Biometrics for Payments User Forecasts - By Technology: Finger-Vein
2.2.2.1.5.1 Finger-Vein Biometric Payments Users - Forecast Highlights
2.2.2.1.6 Biometrics for Payments User Forecasts - By Technology: Palm-Vein
2.2.2.1.6.1 Palm-Vein Biometric Payments Users - Forecast Highlights
2.2.2.1.6 Biometrics for Payments User Forecasts - By Technology: Heart (ECG)
2.2.2.1.7.1 Heart Biometric Payments Users - Forecast Highlights
2.2.2.1.8 Biometrics for Payments User Forecasts - By Technology: Face
2.2.2.1.8.1 Face Biometric Payments Users - Forecast Highlights
2.2.2.1.9 Biometrics for Payments User Forecasts - By Technology: Combined
2.2.2.1.9.1 Combined Biometric Payments Users - Forecast Highlights
2.2.2.2 Biometrics for Payments User Forecasts - By Payment Type
2.2.2.2.1 Biometrics for Payments User Forecasts - By Payment Type: Physical Retail Store - Point-of-Sale Terminal Integration
2.2.2.2.2 Biometrics for Payments User Forecasts - By Payment Type: Physical Retail Store - Biometric Payment Cards
2.2.2.2.3 Biometrics for Payments User Forecasts - By Payment Type: eCommerce
2.2.2.2.4 Biometrics for Payments User Forecasts - By Payment Type: Mobile Payments
2.2.2.2.5 Biometrics for Payments User Forecasts - By Payment Type: Wearable Payments
2.2.2.2.6 Biometrics for Payments User Forecasts - By Payment Type: Bitcoin
2.2.2.2.7 Biometrics for Payments User Forecasts - By Payment Type: ATM for Cash

View This Report »

Get Industry Insights. Simply.

  • Latest reports & slideshows with insights from top research analysts
  • 24 Million searchable statistics with tables, figures & datasets
  • More than 10,000 trusted sources
24/7 Customer Support

Talk to Veronica

+1 718 514 2762

Purchase Reports From Reputable Market Research Publishers
Asia-Pacific Mobile Payments

Asia-Pacific Mobile Payments

  • $ 4950
  • Industry report
  • September 2016
  • by Frost & Sullivan

Spearheading Cashless Societies Countries within Asia-Pacific are trying to go cashless; mobile payment has been identified as an ideal solution to spearhead the transformation from cash-based to cashless ...

IDC FutureScape: Worldwide Payments 2017 Predictions

IDC FutureScape: Worldwide Payments 2017 Predictions

  • $ 4500
  • Industry report
  • November 2016
  • by IDC

This IDC Financial Insights study is a tool for technology leaders and their line-of-business (LOB) counterparts to use in their IT strategic planning efforts as they face these exciting times. As such, ...

Global Mobile Wallet and Payment Technologies Market Analysis & Trends - Industry Forecast to 2025

Global Mobile Wallet and Payment Technologies Market Analysis & Trends - Industry Forecast to 2025

  • $ 4200
  • Industry report
  • September 2016
  • by Accuray Research LLP

Global Mobile Wallet and Payment Technologies Market Analysis & Trends - Industry Forecast to 2025 The Global Mobile Wallet and Payment Technologies Market is poised to grow at a CAGR of around 39.8% ove ...


Download Unlimited Documents from Trusted Public Sources

Payments Markets in the US

  • December 2016
    61 pages
  • ATM  

    Payments  

    Debit Card  

  • United States  

    World  

View report >

Payments Industry in India - Forecast

  • November 2016
    4 pages
  • Payments  

  • India  

View report >

Crop Production in the US - Forecast

  • November 2016
    3 pages
  • Crop Production  

    Payments  

    Soybean  

  • United States  

    North America  

View report >

Payments Markets

15 days ago

Related Market Segments :

Payments
Biometrics

ref:plp2015

Reportlinker.com © Copyright 2016. All rights reserved.

ReportLinker simplifies how Analysts and Decision Makers get industry data for their business.