Number ES ES1 ES2 ES2.1 ES2.1.1 ES2.1.2 ES2.2 ES2.2.1 ES2.3 ES2.3.1 ES2.3.2 ES2.4 ES2.4.1 ES2.4.2 ES2.4.3 ES2.5 ES2.5.1 ES2.5.1.1 ES2.5.1.2 ES2.5.1.3 ES2.5.1.4 ES2.5.1.5 ES2.5.1.6 ES2.5.1.7 ES2.6 ES2.6.1 ES2.6.1.1 ES2.6.2 ES2.6.2.1 ES2.6.2.1.1 ES2.6.2.2 ES2.6.2.2.1 ES2.6.3 ES2.6.3.1 ES2.6.4 ES2.6.4.1 ES2.6.4.5 Title Forward Goode Intelligence Author Goode Intelligence Methodology Regional Definitions Executive Summary Report Scope Market and Technology Analysis An Introduction to Biometric Technologies Biometrics Definition Biometric Authentication How is Biometrics used for Payments How to Measure Biometric Technology? A Guide to Choosing the Right Biometric System Market Drivers and Barriers Market Drivers Market Barriers Financial Services & Payments Biometric Regulation and Technology Standards Regulation Industry Regulation / Guidelines Technology Standards Technology and Market Adoption Market Adoption and Analysis So, Why Biometrics Now? Biometrics For Physical Store Payments Biometrics for ecommerce Payments Biometrics for mcommerce Payments Payment Apps Biometrics for Wearable Payments (wcommerce) Biometrics for Bitcoin and Blockchain Payments Biometrics for ATMs Biometric Technology Analysis and Vendors Behavioral Biometrics Advantages and Disadvantages of Behavioral Biometrics Eye Biometrics Iris Advantages and Disadvantages of Iris Biometrics Eye-Vein Advantages and Disadvantages of Eye-Vein Biometrics Face Biometrics Advantages and Disadvantages of Face Biometrics Fingerprint Biometrics Advantages and Disadvantages of Fingerprint Biometrics Heart Biometrics Goode Intelligence 2015 P a g e 1
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 & Transaction Value Forecasts ES3.2.4.1 Assumptions on Transaction & 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 & Barriers 1.7.1 Market Drivers 1.7.2 Market Barriers 1.8 Financial Services & Payments Biometric Regulation and Technology Standards 1.8.1 Introduction 1.8.2 Regulation 1.8.3 State & 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 Goode Intelligence 2015 P a g e 2
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 Goode Intelligence 2015 P a g e 3
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 & 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 Goode Intelligence 2015 P a g e 4
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 Goode Intelligence 2015 P a g e 5
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 1.9.2.9.2.2 Sthaler 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: Goode Intelligence 2015 P a g e 6
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 2.2.3 Biometrics for Payments Revenue Forecasts 2.2.3.1 Assumption on Revenue Forecasts 2.2.3.2 Biometrics for Payments Revenue Forecasts By Technology: Fingerprint 2.2.3.3 Biometrics for Payments Revenue Forecasts By Technology: Voice 2.2.3.4 Biometrics for Payments Revenue Forecasts By Technology: Eye (Iris & Eye-Vein) 2.2.3.5 Biometrics for Payments Revenue Forecasts By Technology: Behavioral 2.2.3.6 Biometrics for Payments Revenue Forecasts By Technology: Finger- Vein 2.2.3.7 Biometrics for Payments Revenue Forecasts By Technology: Palm- Vein 2.2.3.8 Biometrics for Payments Revenue Forecasts By Technology: Heart 2.2.3.9 Biometrics for Payments Revenue Forecasts By Technology: Face 2.2.3.10 Biometrics for Payments Revenue Forecasts By Technology: Combined 2.2.4 Biometrics for Payment Transaction & Transaction Value Forecasts 2.2.4.1 Assumptions on Transaction & Transaction Value Forecasts 2.2.4.2 Biometric for Payments Transaction Forecasts Total Transactions 2.2.4.3 Biometric for Payments Transaction Forecasts Total Value ($) Appendices A Appendix A: Organisation Referenced in this Report B How to Measure Biometric Technology? A Guide to Choosing the Right Biometric System Goode Intelligence 2015 P a g e 7