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決済用バイオメトリクス - 決済手段向けセキュリティ手段の個人化:市場・技術分析、導入戦略、将来予測 (2015〜2020年)

Biometrics for Payments - Payment Security Gets Personal; Market and Technology Analysis, Adoption Strategies & Forecasts 2015-2020

発行 Goode Intelligence 商品コード 342253
出版日 ページ情報 英文 243 Pages
納期: 即日から翌営業日
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本日の銀行送金レート: 1USD=105.42円で換算しております。
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決済用バイオメトリクス - 決済手段向けセキュリティ手段の個人化:市場・技術分析、導入戦略、将来予測 (2015〜2020年) Biometrics for Payments - Payment Security Gets Personal; Market and Technology Analysis, Adoption Strategies & Forecasts 2015-2020
出版日: 2015年10月02日 ページ情報: 英文 243 Pages
概要

消費者が主導する形でバイオメトリクス・セキュリティ技術の普及が進むのに伴い、巨大な市場機会がバイオメトリクス・ベンダーにもたらされています。決済目的でのバイオメトリクスの導入は、同産業の大きな成長促進要因となっており、2020年にはバイオメトリクスを用いた決済取引の総額が5兆6000億米ドル、バイオメトリクス関連の収益額は556億米ドルに達する、と推計されています。

当レポートでは、決済手段向けのバイオメトリクス (生体認証) 技術・市場の現状と将来展望について分析し、各種の決済手段の実情、技術導入の主な促進・阻害要因、各種のバイオメトリクス技術の特徴と主要ベンダー、全世界・各地域での決済用バイオメトリクス市場の将来動向 (ユーザー数・決済額、今後6年間分) などを調査・推計しております。

序論

Goode Intelligenceについて

著者

分析手法

分析地域の定義

エグゼクティブ・サマリー

第1章 市場・技術の分析

  • イントロダクション
  • バイオメトリクス技術の概略
  • バイオメトリクスの定義
  • バイオメトリクスの機能のしかた
  • バイオメトリクス認証
  • 決済手段におけるバイオメトリクスの活用方法
  • 市場促進・抑制要因
  • 金融サービス・決済向けバイオメトリクスの規制・技術規格
    • イントロダクション
    • 規制
    • 各国政府の規制体制
    • 業界内の規制/ガイドライン
    • 技術規格
  • 各種技術の市場への導入
    • 市場への導入と分析
    • 実店舗での決済におけるバイオメトリクス:POS端末との一体化
    • eコマースでの決済におけるバイオメトリクス
    • mコマースでの決済におけるバイオメトリクス
    • ウェアラブル機器による決済 (wコマース) におけるバイオメトリクス
    • ビットコイン・ブロックチェーン決済におけるバイオメトリクス
    • ATM (現金払い) におけるバイオメトリクス
    • バイオメトリクス技術:分析 (概要、利点・欠点) とベンダー
      • イントロダクション
      • 行動認証
      • 眼 (虹彩・網膜) 静脈
      • 顔面認証
      • 指紋認証
      • 心臓鼓動による認証
      • 声紋認証
      • 指先静脈認証
      • 手のひら静脈認証

第2章 将来予測

  • 予測手法と前提条件
  • 決済手段用バイオメトリクス市場の予測
    • イントロダクション
    • ユーザー数の予測
      • 技術方式別
        • 指紋認証
        • 声紋認証
        • 眼 (虹彩・網膜) 静脈
        • 行動認証
        • 指先静脈認証
        • 手のひら静脈認証
        • 心臓 (心電図) 認証
        • 顔面認証
        • 複合認証
      • 決済手段別
        • 小売店舗 (POS端末一体型)
        • 小売店舗 (バイオメトリクス決済カード)
        • eコマース
        • モバイルペイメント
        • ウェアラブル・ペイメント
        • ビットコイン
        • ATMによる現金決済
    • 市場収益額の予測 (技術方式別)
      • 前提条件
      • 指紋認証
      • 声紋認証
      • 眼 (虹彩・網膜) 静脈
      • 行動認証
      • 指先静脈認証
      • 手のひら静脈認証
      • 心臓 (心電図) 認証
      • 顔面認証
      • 複合認証
    • 決済件数・決済金額
      • 前提条件
      • 決済件数
      • 決済金額 (総額)

付録

目次
Product Code: GICAR08a

Biometrics for Payments - Payment Security Gets Personal; Market & Technology Analysis, Adoption Strategies & Forecasts 2015-2020 is a 264 page analyst report that provides detailed analysis of the adoption of biometrics for payments.

This comprehensive report includes a review of current global adoption, market analysis including key drivers and barriers for adoption, interviews with leading stakeholders, technology analysis with review of key biometric technologies and profiles of companies supplying biometric systems for the payments industry plus forecasts (regional and global) for users and revenue within the six-year period 2015 to 2020.

Alan Goode, author of the report and founder of Goode Intelligence said "Biometric vendors are experiencing tremendous growth on the back of the escalation of consumer-led adoption of biometric security. The adoption for payment purposes is a major contributor to this growth and Goode Intelligence forecasts that by 2020 it will contribute US$5.6 billion in revenue from $5.6 trillion worth of payments for companies involved in delivering biometric systems to the payments industry."

Coverage

The report identifies the major trends shaping this industry and includes analysis of how biometrics is reshaping the payments industry. The following payment types and technologies are covered:

  • Physical Retail Store - Point-of-Sale (POS) terminal integration
  • eCommerce (web-based payments)
  • Mobile Payments
  • Wearable Payments
  • Bitcoin
  • ATM (cash and Bitcoin)

Goode Intelligence has identified eight biometric technologies that are reshaping the payment security market:

  • Behavioral
  • Eye (Iris and Eye-Vein)
  • Face
  • Fingerprint
  • Finger-Vein
  • Heartbeat
  • Palm-Vein
  • Voice

The report includes an analysis of all eight biometric technologies with a review of the active vendors offering these biometric solutions.

This report is aimed at technology vendors and service providers involved in providing biometric systems for payments and payment service providers wanting to understand the reasons for deploying and what biometric solutions they should implement. The report is also aimed at management and technology consultants, hardware ODMs looking to support biometrics and investors looking to take advantage of this growing industry.

Companies referenced in this report include: Access Softek, Alipay, Agnitio, Apple, ARM, Banco Bradesco, Bank BGZ, Bank BPH, Banco Santander, Bank of Lanzhou, Bank Muscat, Bank of China, Bank of Korea, Barclays, BehavioSec, BioCatch, BIO-key, Biometrics Signature ID, British Bankers Association, Cash, Cairo Amman Bank, Cardtech, Cifas, Cirrus Logic, Cryptovision, Daon, DARPA, Dermalog, Diamond Fortress, Diebold, EarlyWarning, Edgar, Dunn & Co., EMVCo, Encap Security, Ernst & Young, ECB, eyeLock, EyeVerify, Facebanx, FFIEC, FCA, FFA, Fingerprint Cards, Fotonation, Fujitsu, Garanti Bank, Gemalto, Getin Bank, Google, Hitachi, Hoyos Labs, HYPR Corp., Idair, IDEX, IEEE, ING Bank, IrisGuard, Isbank, ITCARD, KeyLemon, Lamassu, Lumidigm, MasterCard, Microsoft, Morpho, M2SYS, Natwest Bank, NICE, NIST, NCR, NEXT Biometrics, Nok Nok Labs, NTT DoCoMo, Nuance, Nymi, OCBC, OCC, OKI, PayPal, Pindrop, Planet Cash, Qualcomm, RBS, Robocoin, Royal Bank of Canada, Royal Oman Police, RSA Security, Salesforce, Samsung, SayPay, Smartmetric, St Georges Bank, Sonavation, Synaptics, Tangerine Bank, Tencent, The FIDO Alliance, The Natural Security Alliance, Trustonic, Turkiye IS Bankasi, USAA, US Federal Reserve, ValidSoft, Verint, VISA, VoiceTrust, VoiceVault, VOXX International, Westpac, Wincor Nixdorf, ZTE, Zwipe.

Table of Contents

Forward

Goode Intelligence

Author

Goode Intelligence Methodology

Regional Definitions

ES Executive Summary

  • ES 1 Report Scope
  • ES 2 Market and Technology Analysis
    • ES 2.1 An Introduction to Biometric Technologies
      • ES 2.1.1 Biometrics Definition
      • ES 2.1.2 Biometric Authentication
    • ES 2.2 How is Biometrics used for Payments
      • ES 2.2.1 How to Measure Biometric Technology? A Guide to Choosing the Right Biometric System
    • ES 2.3 Market Drivers and Barriers
      • ES 2.3.1 Market Drivers
      • ES 2.3.2 Market Barriers
    • ES 2.4 Financial Services & Payments Biometric Regulation and Technology Standards
      • ES 2.4.1 Regulation
      • ES 2.4.2 Industry Regulation / Guidelines
      • ES 2.4.3 Technology Standards
    • ES 2.5 Technology and Market Adoption
      • ES 2.5.1 Market Adoption and Analysis
        • ES 2.5.1.1 So, Why Biometrics Now?
        • ES 2.5.1.2 Biometrics For Physical Store Payments
        • ES 2.5.1.3 Biometrics for eCommerce Payments
        • ES 2.5.1.4 Biometrics for mCommerce Payments - Payment Apps
        • ES 2.5.1.5 Biometrics for Wearable Payments (wCommerce)
        • ES 2.5.1.6 Biometrics for Bitcoin and Blockchain Payments
        • ES 2.5.1.7 Biometrics for ATMs
    • ES 2.6 Biometric Technology - Analysis and Vendors
      • ES 2.6.1 Behavioral Biometrics
        • ES 2.6.1.1 Advantages and Disadvantages of Behavioral Biometrics
      • ES 2.6.2 Eye Biometrics
        • ES 2.6.2.1 Iris
          • ES 2.6.2.1.1 Advantages and Disadvantages of Iris Biometrics
        • ES 2.6.2.2 Eye-Vein
          • ES 2.6.2.2.1 Advantages and Disadvantages of Eye-Vein Biometrics
      • ES 2.6.3 Face Biometrics
        • ES 2.6.3.1 Advantages and Disadvantages of Face Biometrics
      • ES 2.6.4 Fingerprint Biometrics
        • ES 2.6.4.1 Advantages and Disadvantages of Fingerprint Biometrics
        • ES 2.6.4.5 Heart Biometrics
          • ES 2.6.4.5.1 Advantages and Disadvantages of Heart Biometrics
      • ES 2.6.6 Voice Biometrics
        • ES 2.6.6.1 Advantages and Disadvantages of Voice Biometrics
      • ES 2.6.7 Finger-Vein Biometrics
        • ES 2.6.7.1 Advantages and Disadvantages of Finger-Vein Biometrics
      • ES 2.6.8 Palm-Vein Biometrics
        • ES 2.6.8.1 Advantages and Disadvantages of Palm-Vein Biometrics
  • ES 3 Forecasts
    • ES 3.1 Methodology and Assumptions
    • ES 3.2 Biometric For Payments Forecasts
      • ES 3.2.1 Introduction
      • ES 3.2.2 Biometrics for Payments User Forecasts
        • ES 3.2.2.1 Biometrics for Payments User Forecasts - By Technology
        • ES 3.2.2.2 Biometrics for Payments User Forecasts - By Payment Type
      • ES 3.2.3 Biometrics for Payments Revenue Forecasts
        • ES 3.2.3.1 Biometrics for Payments Revenue Forecasts - By Technology
      • ES 3.2.4 Biometrics for Payment Transaction & Transaction Value Forecasts
        • ES 3.2.4.1 Assumptions on Transaction & Transaction Value Forecasts
        • ES 3.2.4.2 Biometric for Payments Transaction Forecasts - Total Transactions
        • ES 3.2.4.3 Biometrics for Payments Transaction Forecasts - Total Value ($)
  • ES 4 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
      • 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 & 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
    • 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
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