表紙
市場調查報告書
商品編碼
999975

生物識別付款:市場/技術分析、實施策略、未來預測(2021-2026)(第3版)

Biometrics Payments - Market & Technology Analysis, Adoption Strategies and Forecasts 2021-2026 (Third Edtion)

出版日期: | 出版商: Goode Intelligence | 英文 336 Pages | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

新型冠狀病毒感染 (COVID-19) 感染的傳播對生物識別技術的使用產生了很大影響。在線服務的用戶數量增加,很多人第一次體驗了線上支付。通過在物理位置使用共享密碼鍵盤和銷售點設備進行預訂,移動錢包的使用正在加速,使生物識別卡對消費者更具吸引力。因此,全球現金使用量正在迅速下降。

本報告分析了全球生物識別支付技術和市場趨勢、各種生物識別支付技術的概述和普及、主要推動/抑制因素、主要公司和主要產品的概況/我們將為您提供數量等信息服務和生物識別支付的用戶/設備、支付數量和金額趨勢的展望(2021 年至 2026 年)以及行業利益相關者的觀點(採訪)。

目錄

簡介

執行摘要

市場和技術分析

  • 簡介
  • 如何在支付中使用生物識別技術
  • 簡介
  • 主要趨勢
  • 生物識別支付模式
    • 去中心化的生物識別支付模式
    • 集中/基於雲的生物識別支付模式
    • 哪種型號最好?

市場驅動因素和障礙

  • 市場驅動因素
  • 市場壁壘

金融服務和支付生物識別法規和技術標準

  • 簡介
  • 監管
    • 數據保護規則:按國家/地區
    • 歐盟聯合支付服務指令 (PSD2)
    • 反洗錢 (AML) 和 KYC(Know Your Customer)法規
    • 行業法規/指南

技術標準

  • 簡介
  • ISO
  • ANSI
  • UK CESG
  • USA NIST
  • FIDO Alliance

技術和市場採用

  • 市場採用和分析
    • 電子商務支付的生物識別技術
      • BehavioSec 的行為生物識別平台可保護移動用戶的金融交易
      • W3C WebAuthn 標準:網絡支付的 FIDO2
      • 適用於網站的 Apple Pay
      • 預測
        • 預測生物識別支付用戶的數量:電子商務
    • 用於移動支付的生物識別技術:錢包和應用
      • 簡介
    • 用於智能移動設備的 OEM 和平台
      • Apple Pay
      • Google Pay
      • Samsung Pay
      • 卡片方案
      • 替代支付提供商:數字錢包
      • 移動網絡運營商 (MNO):運營商直接代扣
      • 銀行移動支付錢包應用
    • 預測
      • 移動生物識別用戶數預測:物理
      • 預測移動生物識別用戶的數量:移動商務

可穿戴支付的生物識別技術(w 商務)

  • 簡介
  • 預測

用於汽車支付的生物識別技術

  • 預測

生物識別卡

  • 簡介
  • 內置生物識別傳感器的智能卡
    • COVID-19 的影響
    • 各種技術的函數方法
    • 生物識別卡的優勢
    • 生物識別卡生態系統
    • 生物識別卡案例
    • 生物識別卡的商業開發
    • 生物識別卡:洞察力
    • 生物識別卡:預測
  • 無令牌(活的)生物識別結算
  • 簡介
  • 無令牌生物識別支付:市場傳播/分析
    • Sthaler FingoPay-指紋支付
    • Pay-by-Face - Preciate
    • Dermalog-指紋支付
    • Clear - 美國足球場的生物識別解決方案
    • PayEye-Polish 基於虹膜的支付 I
    • Aadhaar 支付
    • Alipayソ"Smile to Pay"
    • WeChat Frog-人臉識別支付
    • Amazon One --手掌生物識別支付
  • 預測
    • 生物識別支付用戶數量預測:無令牌(實時)

生物識別 ATM(現金支付)

  • 簡介
  • 現金
    • 生物識別技術集成到 ATM 中
  • 預測
    • 生物識別支付用戶數量預測:ATM

生物識別技術:分析、預測、供應商

  • 簡介
  • 行為生物識別
    • 簡介
    • 預測
      • 生物識別支付用戶數量預測:行為
      • 生物識別結算收入預測:行為
    • 技術供應商和服務提供商
      • BehavioSec
      • Biometric Signature ID
      • BioCatch
      • Buguroo
      • TypingDNA
        • 定價
      • 安全觸摸
    • 行為生物識別技術的優缺點

眼睛生物識別

  • 簡介
  • Iris
    • 簡介
  • 預測
    • 生物識別支付用戶數量預測:Iris
    • 生物識別結算收入預測:Iris
    • 技術供應商和服務提供商
      • Eyelock
      • Fingerprint Cards - ActiveIris
      • IrisGuard
    • 虹膜生物識別的優缺點

  • 簡介
  • 預測
    • 生物識別支付用戶數量預測:人臉
    • 生物識別結算收入預測:人臉
  • 技術供應商和服務提供商
    • Applied Recognition
      • Identity Verification - Applied Recognition
    • Cognitec
    • Daon
    • FaceTec
    • FacePhi
    • Face++
    • IDEMIA
    • Iproov
    • Thales
  • 面部生物識別技術(人臉識別)的優缺點

指紋

  • 簡介
  • 預測
    • 生物識別支付用戶數量預測:指紋
    • 生物識別結算收入預測:指紋
  • 技術供應商和服務提供商:指紋傳感器製造商和認證集成商
    • Dermalog
    • Fingerprint Cards
    • IDEX
    • Limidigm - HID Global
    • NEXT Biometrics
    • Precise Biometrics
    • Qualcomm
    • Zwipe
  • 指紋生物識別(傳感器)的優缺點

心臟(心電圖(ECG))

  • 簡介
  • 預測
    • 生物識別支付用戶的預測:心臟 (ECG)
    • The Nymi Band
    • B-Secur
  • 心臟生物識別技術的優缺點

語音

  • 簡介
  • 預測
    • 生物識別支付用戶數量預測:語音
    • 生物識別結算收入預測:語音
  • 技術供應商和服務提供商
    • Nice
    • Nuance
    • Lumenvox
    • Phonexia
  • 語音生物識別技術的優缺點

手指靜脈

  • 簡介
  • 預測
    • 生物識別支付用戶數量預測:手指靜脈
    • 生物識別結算收入預測:手指靜脈
  • 技術供應商和服務提供商
    • Hitachi
    • Sthaler-FingoPay
  • 指靜脈生物識別技術的優缺點

掌靜脈

  • 簡介
  • 預測
    • 生物識別支付用戶數量預測:手掌靜脈
    • 生物識別結算收入預測:Palm Vein
  • 技術供應商和服務提供商
    • Amazon One
    • Fujitsu
  • 手掌靜脈生物識別技術的優缺點

指紋

  • 簡介
  • 預測
    • 生物識別支付用戶數量預測:掌紋
    • 生物識別結算收入預測:掌紋
    • Redrock Biometrics
  • 掌紋生物識別技術的優缺點

預測

  • 分析方法和先決條件
  • 生物識別預測支付
    • 簡介
    • 預測生物識別支付用戶的數量
      • 生物識別支付用戶數量預測:按技術分類
        • 按技術:指紋
        • 按技術:語音
        • 按技術:Iris
        • 按技術:行為
        • 按技術:指靜脈
        • 按技術:掌靜脈
        • 按技術:心臟(心電圖 (ECG))
        • 按技術:人臉
        • 按技術:掌紋
      • 生物識別支付用戶數量預測:按支付類型
        • 按類型:物理位置-無令牌
        • 按類型:物理生物識別支付卡
        • 按支付渠道:電子商務(Web)
        • 按支付渠道:移動商務(m commerce)-物理位置的移動支付
        • 按支付渠道:移動商務(commerce)
        • 按支付渠道:可穿戴支付
        • 按支付渠道:汽車
        • 支付渠道:ATM現金支付
        • 按支付渠道:組合型
        • 按型號:基於設備
        • 按模型:基於雲
        • 按模型:集中/分佈式比率(2026)

生物識別結算收入預測

  • 收入預測的先決條件
  • 按技術:指紋
  • 按技術:語音
  • 按技術:Iris
  • 按技術:行為
  • 按技術:指靜脈
  • 按技術:掌靜脈
  • 按技術:掌紋
  • 按技術:人臉
  • 按技術:組合式
  • 用於生物識別支付卡的指紋傳感器
  • 生物識別支付卡
  • 生物識別支付卡發行人的收入(佣金)
  • 預測生物識別支付的數量和金額
    • 預測先決條件
    • 預測生物識別支付次數:總計
    • 生物識別結算金額預測:總金額

附錄

目錄
Product Code: GIBFP03

The 336 page report is the most comprehensive analysis of biometric payments and investigates the current global adoption with 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 payments. It also includes regional and global market forecasts for users, devices, transactions and revenue for the six-year period from 2021 to 2026.

Coverage

This is the third edition of the Goode Intelligence 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
  • Impact of COVID-19 Pandemic
  • Analysis of important technology vendors and services providers operating in this sector
  • Forecasts for users and revenue within the six-year period 2021 to 2026

The 336 page report is the most detailed and comprehensive guide to the market for biometrics for payments published to date exploring the adoption of biometric technology for payments across all major payment channels - from traditional to emerging - delivered by the world's leading biometrics analyst company.

The impact from the Covid-19 pandemic on the use of biometrics has been enormous with people increasingly using online services and many making payments online for the first time. Reservations about using shared PIN-PADs and POS devices in physical locations has resulted in an acceleration of mobile wallet usage and made biometric payment cards even more attractive to consumers. Consequently the decline in using cash has accelerated across the globe.

Alan Goode, founder and CEO of Goode Intelligence and author of the report, said "The future is contactless for physical, in-store payments. Mobile wallets powered by biometric authentication have been a success for both in-store and digital payments. Their growth has accelerated during the pandemic as they are both contactless and do not have spending limits versus current EMV contactless cards which do have limits. Going forward, we forecast that mobile wallets will split their market share with contactless biometric payment cards which offer similar benefits and convenience.

"Looking even further ahead, we predict that the future will be tokenless - no card, no phone, no watch - just you. With ever increasing improvements in performance of biometric systems they are likely to become good enough to be used on their own without a token to authenticate customers and approve payment transactions - enabling the 'pay by me' service to emerge."

In addition to mobile, a number of emerging areas offering high-growth opportunities are identified in the report including:

  • Biometric Payment Card
  • Tokenless (naked) payments
  • Hybrid scenarios where a Biometric Digital ID offers payment as one of its applications/use cases in combination with:
    • Permission to travel (Fast lane border control)
    • Ticketing - Loyalty programs
  • Automotive

The report reveals that a combination of technology challenges and the pandemic has delayed the large-scale rollout of biometric payment cards by two to three years. Alan Goode said, "We expect a maximum of 2.9m cards to be shipped during 2021. For 2026 however, we forecast that at least one fifth of all payment cards shipped that year will be biometric."

The report further forecasts that:

  • Global biometric payments to the value of $5.765 trillion will be made annually by 2026
  • There will be over three billion biometric payment users by 2026

The report includes exclusive interviews with important stakeholders from the following companies, Fingerprint Cards, IDEMIA, Nuggets, IDEX Biometrics, Thales and Zwipe.

The following companies are referenced in the report: Aadhaar, ABSA Bank, Airbnb, Alipay, Amazon, American Express, ANSI, Applied Recognition, Apple, Areeba, ARM, Banco Bradesco, Bank of Lanzhou, Bank Muscat, Bank of America, Bank of China, Bank of China Hong Kong, Bank of Cyprus, Bank of Korea, Barclays Bank, BNP Paribas, BehavioSec, BioCatch, BioNetra, Biometric Signature ID, Braintree, B-Secur, BSI, Buguroo, Cairo Amman Bank, CaxiaBank, CardLab, Cardtech, CESG, Cifas, China Unionpay, CLEAR, Cognitec, Cornercard, Credit Agricole, Crossmatch, Cryptovision, Cubic Transportation Systems, DAB Bank, Daon, DARPA, Dermalog, Diebold Nixdorf, Discover, EgisTech, EMVCo, Etherium, European Central Bank (ECB), European Union (EU), eyeLock, Expedia, Experian, FaceTec, FACE++, FacePhi, Federal Deposit Insurance Corporation, Federal Financial Institutions Examination Council (FFIEC), Feitian, Financial Conduct Authority (FCA), Financial Fraud Action (FFA), Fingerprint Cards, Fingo, Fujitsu, Fulcrum Biometrics, Gemalto, General Motors, Gentex, Gilbarco Veeder-Root, Google, G+D, HID Lumidigm, Hitachi, IBM, IDEMIA, IDEX Biometrics, IDology, IEEE, InFocus, ING, Innovatrics, IProov, IrisGuard, ISO, Itaú Bank , Jaguar Landrover, JCB, Jinco, Kona I, Linxens, LumenVox, Macau Monetary Authority, MasterCard, MeReal Biometrics, Mercedes Benz, Microsoft, Mountain America Credit Union, M2Sys, National Credit Union Administration, NatWest Bank, NEXT Biometrics, NICE, NIST, NCR, NEXT Biometrics, Nok Nok Labs, NTT DoCoMo, Nuance, Nuggets, Nymi, NXP Semiconductors, Office of the Comptroller of the Currency (OCC), OKI, Qualcomm, OP Financial Group, PayByPhone, PayEye, PayPal, PCI, Phonexia, Preciate, Precise Biometrics, Princeton Identity, RBS, Redrock Biometrics, Rocker, Royal Bank of Canada, Samsung, Sao Paolo Bank, SecuredTouch, SmartMetric, Starbucks, Silone CardTech, Societe Generale, Sthaler, Synaptics, Tag Systems Group, Tencent, Thales, The FIDO Alliance, TietoEVRY, Toppan Forms Card, TypingDNA, Uber, UniCredit Bulbank, USAA, US Federal Reserve, VISA, VOXX International, WeChat Pay, Wincor Nixdorf, WorldPay, W3C, Yoti, Zwipe.

Table of Contents

Forward

  • Goode Intelligence
  • Author
  • Goode Intelligence Methodology
  • Regional Definitions

Executive Summary

  • ES1: Report Scope
    • Impact of COVID-19
    • Payment Definition - What is Covered In This Report
  • ES2: Market and Technology Analysis
    • ES2.1: How are Biometrics used For Payments
  • ES3: Forecasts
    • ES3.1 Methodology and Assumptions
    • ES3.2 Biometric Payments Forecasts
      • ES3.2.1 Introduction
      • ES3.2.2 Biometric Payments User Forecasts
        • ES3.2.2.1 Biometric Payments User Forecasts - By Technology
        • ES3.2.2.2 Biometric Payments User Forecasts - By Payment Type
      • ES3.2.3 Biometric Payments Revenue Forecasts
        • ES3.2.3.1 Biometrics for Payments Revenue Forecasts - By Technology
      • ES3.2.4 Biometric Payments Transaction & Transaction Value Forecasts
        • ES3.2.4.1 Assumptions on Transaction & Transaction Value forecasts
        • ES3.2.4.2 Biometric Payments Transaction Forecasts - Total Transactions
        • ES3.2.4.3 Biometric Payments Transaction Forecasts - Total Value ($)
  • ES4: Summary

Market and Technology Analysis

  • Introduction
  • How is Biometrics used For Payments?
  • Introduction
  • Major Trends
  • Biometric Payment Models
    • Decentralized Biometric Payment Model
      • Forecasts
        • Biometric Payment User Forecasts - Device-Based
    • Centralized - Cloud-Based - Biometric Payment Model
      • Forecasts
        • Biometric Payment User Forecasts - Cloud-Based
    • Which Model is The Best?
      • Forecasts

Market Drivers and Barriers

  • Market Drivers
  • Market Barriers

Financial Services and Payments Biometric Regulation and Technology Standards

  • Introduction
  • Regulation
    • Data Protection Regulation
      • European Union (EU) General Data Protection Regulation (GDPR)
      • USA Data protection Regulation
        • California
        • Illinois
        • New York
        • Texas
        • Washington
      • Asia-Pacific Data protection Regulation
        • Australia
        • Singapore
      • South America Data protection Regulation
        • Brazil
    • European Union Payment Services Directive (PSD2)
    • Anti-Money Laundering (AML) and Know Your Customer (KYC) Regulation
    • Industry Regulation / Guidelines
      • PCI-DSS
      • USA FFIEC
      • EMV
        • EMV 3D Secure
      • Bank of Korea
      • The Payments and Clearing Association of China

Technology Standards

  • Introduction
  • ISO
  • ANSI
  • UK CESG
  • USA NIST
  • The FIDO Alliance

Technology and Market Adoption

  • Market Adoption and Analysis
    • Biometrics for eCommerce Payments
      • Protecting Financial Transactions for Users on the Go using BehavioSec's Behavioral Biometrics Platfrom
      • W3C WebAuthn Standards - FIDO2 for Web Payments
      • Apple Pay for Websites
      • Forecasts
        • Biometric Payment User Forecasts - eCommerce
    • Biometrics for Mobile Payments - Wallets and Apps
      • Introduction
    • Smart Mobile Device OEMs and Platforms
      • Apple Pay
      • Google Pay
      • Samsung Pay
      • Card Schemes
      • Alternative Payment Providers - Digital Wallets
      • Mobile Network Operators - Direct Carrier Billing
      • Bank Mobile Payment Wallets and Apps
    • Forecasts
      • Mobile Biometric Payment User Forecasts - Physical
      • Mobile Biometric Payment User Forecasts - mCommerce

Biometrics for Wearable Payments (wCommerce)

  • Introduction
  • Forecasts

Biometrics for Automotive Payments

  • Forecasts

Biometric Payment Cards

  • Introduction
  • Smart Card with Embedded Biometric Sensor
    • Impact of COVID-19
    • How does the technology work?
    • Advantages of Biometric Payment Cards
    • Biometric Payment Card Ecosystem
    • Biometric Payment Card Pilots
    • Biometric Payment Card Commercial Rollouts
    • Biometric Payment Cards - Insights
    • Biometric Payment Cards - Forecasts
  • Tokenless (Naked) Biometric Payments
  • Introduction
  • Tokenless Biometric Payments - Market Adoption/Analysis
    • Sthaler FingoPay - Pay by Finger
    • Pay-by-Face - Preciate
    • Dermalog - FingerPayment
    • Clear - Biometric Payment at USA Footbal Stadia
    • PayEye - Iris-based Payments in Poland
    • Aadhaar Pay
    • Alipay "Smile to Pay"
    • WeChat Frog - Pay by Face
    • Amazon One - Palm Biometric Payments
  • Forecasts
    • Biometric Payment User Forecasts - Tokenless (Naked)

Biometric ATMs (Cash Payments)

  • Introduction
  • Cash
    • Biometric Technology Integrated into ATM
  • Forecasts
    • Biometric Payment User Forecasts - ATMs

Biometric Technology - Analysis, Forecasts & Vendors

  • Introduction
  • Behavioral Biometrics
    • Introduction
    • Forecasts
      • Biometric Payment User Forecasts - Behavioral
      • Biometric Payment Revenue Forecasts - Behavioral
    • Technology Vendors and Service Providers
      • BehavioSec
      • Biometric Signature ID
      • BioCatch
      • Buguroo
      • TypingDNA
        • Pricing
      • SecuredTouch
    • Advantages and Disadvantages of Behavioral Biometrics

Eye Biometrics

  • Introduction
  • Iris
    • Introduction
  • Forecasts
    • Biometric Payment User Forecasts - Iris
    • Biometric Payment Revenue Forecasts - Iris
    • Technology Vendors and Service Providers
      • Eyelock
      • Fingerprint Cards - ActiveIris
      • IrisGuard
    • Advantages and Disadvantages of Iris Biometrics

Face

  • Introduction
  • Forecasts
    • Biometric Payment User Forecasts - Face
    • Biometric Payment Revenue Forecasts - Face
  • Technology Vendors and Service Providers
    • Applied Recognition
      • Identity Verification - Applied Recognition
    • Cognitec
    • Daon
    • FaceTec
    • FacePhi
    • Face++
    • IDEMIA
    • Iproov
    • Thales
  • Advantages and Disadvantages of Face Biometrics

Fingerprint

  • Introduction
  • Forecasts
    • Biometric Payment User Forecasts - Fingerprint
    • Biometric Payment Revenue Forecasts - Fingerprint
  • Technology Vendors and Service Providers -Fingerprint Sensor Manufacturers and Authentication Integrators
    • Dermalog
    • Fingerprint Cards
    • IDEX
    • Limidigm - HID Global
    • NEXT Biometrics
    • Precise Biometrics
    • Qualcomm
    • Zwipe
  • Advantages and Disadvantages of Fingerprint Biometrics (Sensors)

Heart - ECG

  • Introduction
  • Forecasts
    • Biometric Payment User Forecasts - Heart (ECG)
    • The Nymi Band
    • B-Secur
  • Advantages and Disadvantages of Heart Biometrics

Voice

  • Introduction
  • Forecasts
    • Biometric Payment User Forecasts - Voice
    • Biometric Payment Revenue Forecasts - Voice
  • Technology Vendors and Service Providers
    • Nice
    • Nuance
    • Lumenvox
    • Phonexia
  • Advantages and Disadvantages of Voice Biometrics

Finger Vein

  • Introduction
  • Forecasts
    • Biometric Payment User Forecasts - Finger-Vein
    • Biometric Payment Revenue Forecasts - Finger-Vein
  • Technology Vendors and Service Providers
    • Hitachi
    • Sthaler - FingoPay
  • Advantages and Disadvantages of Finger-Vein Biometrics

Palm-Vein

  • Introduction
  • Forecasts
    • Biometric Payment User Forecasts - Palm-Vein
    • Biometric Payment Revenue Forecasts - Palm-Vein
  • Technology Vendors and Service Providers
    • Amazon One
    • Fujitsu
  • Advantages and Disadvantages of Palm-Vein Biometrics

Palmprint

  • Introduction
  • Forecasts
    • Biometric Payment User Forecasts - Palmprint
    • Biometric Payment Revenue Forecasts - Palmprint
    • Redrock Biometrics
  • Advantages and Disadvantages of Palmprint Biometrics

Forecasts

  • Methodology and Assumptions
  • Biometric Payments Forecasts
    • Introduction
    • Biometric Payments User Forecasts
      • Biometric Payments User Forecasts - by Technology
        • Biometric Payments User Forecasts - by technology: Fingerprint
        • Biometric Payments User Forecasts - by technology: Voice
        • Biometric Payments User Forecasts - by technology: Iris
        • Biometric Payments User Forecasts - by technology: Behavioral
        • Biometric Payments User Forecasts - by technology: Finger-Vein
        • Biometric Payments User Forecasts - by technology: Palm-Vein
        • Biometric Payments USer Forecasts - by technology: Heart (ECG)
        • Biometric Payments User Forecasts - by technology: Face
        • Biometric Payments USer Forecasts - by technology: Palmprint
      • Biometric Payments User Forecasts - by Payment Type
        • Biometric Payments User Forecasts - by Payment Type: Physical Location - Tokenless
        • Biometric Payments User Forecasts - by Payment Type: Physical - Biometric Payment Cards
        • Biometric Payments User Forecasts - by Payment Channel: eCommerce (Web)
        • Biometric Payments User Forecasts - by Payment Channel: Mobile Commerce (mCommerce) - mobile Payments in Physical Locations
        • Biometric Payments User Forecasts - by Payment Channel: Mobile Commerce (mCommerce)
        • Biometric Payments User Forecasts - by Payment Channel: Wearable Payments
        • Biometric Payments User Forecasts - by Payment Channel: Automotive
        • Biometric Payment User Forecasts - by Payment Channel: ATM for Cash
        • Biometric Payments User Forecasts - by Payment Channel: Combined
        • Biometric Payment User Forecasts - by Model: Device-based biometrics
        • Biometric Payments User Forecasts - by Model: Cloud-based biometrics
        • Biometric Payments User Forecasts - by Model: Centralized v Decentralized Percentage 2026

Biometric Payments Revenue Forecasts

  • Assumptions on revenue forecasts
  • Biometric Payments Revenue Forecasts - by Technology: Fingerprint
  • Biometric Payments Revenue Forecasts - by Technology: Voice
  • Biometric Payments Revenue Forecasts - by Technology: Iris
  • Biometric Payments Revenue Forecasts - by Technology: Behavioral
  • Biometric Payments Revenue Forecasts - by Technology: Finger-Vein
  • Biometric Payments Revenue Forecasts - by Technology: Palm-Vein
  • Biometric Payments Revenue Forecasts - by Technology: Palmprint
  • Biometric Payments Revenue Forecasts - by Technology: Face
  • Biometric Payments Revenue Forecasts - by Technology: Combined
  • Biometric Payments Revenue Forecasts - Fingerprint Sensors for Biometric Payments Cards
  • Biometric Payments Revenue Forecasts - Biometric Payments Cards
  • Biometric Payments Revenue Forecasts - Biometric Payments Card Issuer Revenues (fees)
  • Biometric Payments Transaction & Transaction Value Forecasts
    • Assumptions on Transaction & Transaction Value forecasts
    • Biometric Payments Transaction Forecasts - Total Transactions
    • Biometric Payments Transaction Forecasts - Total Value ($)

Appendices

  • Appendix 1 - Biometric Payment Card UK Survey
    • Introduction
    • Survey Highlights
    • Full Survey Results
      • Question one - How do you pay for in-store transactions?
      • Question Two - As a result of the COVID-19 pandemic, are you comfortable using a shared PIN-Pad to enter your payment card passocde to make payments?
      • Question Three - As a result of the COVID-19 pandemic, are you using contactless payment cards more?
      • Question Four - Are you concerned about the risk of increasing spending limits for your contactless payment cards without changes being made to security?
      • Question Five - Have you heard about biometric payment cards?
      • Question Six - What is your knowledge about biometric payment cards?
      • Question Seven - If you could have contactless payments with no upper spend limit powered by biometrics, how much would you be willing to pay for this payment method?
      • Question Eight - If your bank were to upgrade your existing contactless payment card to a biometric payment card, it would need to carry out a simple, one-time enrolment process to store your reference fingerprint in your card. Would you prefer to carry out the enrolment process of capturing your biometrics at home or in your bank branch?
      • Question Nine - Using a biometric payment card will be an easy and convenient way to make payments in the future
      • Question Ten - I am confident that using a biometric payment card will be a secure way to make everyday payments
      • Question Eleven - I understand how my biometric credentials are protected on a biometric payment card
      • Question Twelve - I am keen for my bank to upgrade my existing contactless payment card to a biometric payment card