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351057

Mobile Biometrics for Financial Services: Market & Technology Analysis, Adoption Strategies and Forecasts 2018 - 2023, Second Edition

Published: January 3, 2019 |

Goode Intelligence | 206 Pages | Delivery time: 1-2 business days

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Report Summary

The second edition of Mobile Biometrics for Financial Services - Market & Technology Analysis, Adoption Strategies & Forecasts 2018-2023 is a 206 page analyst report that provides detailed analysis of the market and adoption of mobile biometrics for financial services.

Author: Alan Goode

Full Product Description

An investigation into the use of mobile biometrics for financial services, including payments and banking. 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 mobile biometric components and systems for financial services plus forecasts (regional and global) for users, devices, transactions and revenue within the six-year period 2018 to 2023.

This report is available at £3,250.00 for an Enterprise licence. To order the report or find out more

Coverage

This is the third report in the biometrics for financial services series and covers adoption strategies and forecasts for the use of mobile biometrics for banking and payments. Goode Intelligence forecasts that over US$1.67 trillion worth of mobile biometric payments will be made annually by 2023 generating over US$8.7 billion in revenue for suppliers.

The initial growth will mainly come from remote (digital) payments, a combination of mCommerce and eCommerce, aided by FIDO 2.0 (WebAuthn) standards. Goode Intelligence forecasts that during 2018 there is 68 percent remote mobile biometric payment users versus 32 percent local (physical - in-store). By 2023 the percentage of local mobile biometric payment users increases to 46 percent with remote accounting for 54 percent of total mobile biometric payment users.

The major trends that Goode Intelligence is seeing for this industry include:

Rise of mobile & multi-modal mobile-based biometric authentication
Biometric adoption in all channels supported by open banking APIs that support biometrics
Beginning of the deployment of single biometric platforms leveraging mobile biometrics to support multiple channels and both identity, authentication and fraud management functions
The growth of biometric identity verification (proofing) harnessing mobile face biometrics
Industry regulation will start to specifically reference biometrics as part of its guidance on two and multifactor authentication (EU PSD2, USA FFIEC guidelines and Bank of China and Korea legislation)
The growth of mobile face biometrics as a biometric technology that is versatile and can support identity verification and authentication
Leveraging the power of machine learning (ML) and Artificial Intelligence (AI) technology to improve biometric performance and spoof / liveness detection - both in-chip (on-device) and in-cloud
FIDO 2.0/WebAuthn standards and support by major browsers will accelerate mobile-based FIDO authentication for banking and payments

Report Contents / Forecasts

Executive Summary
Market & Technology Analysis
An introduction to mobile biometric technologies
How mobile biometrics are used for financial services
Market Drivers & Barriers
Regulation & Technology Standards
Mobile Biometric Technology; Adoption and Analysis
Banking
Payments
Local (physical)
Remote (App)
Mobile Biometric Technology Analysis & Vendor Review

Forecasts

Users by Technology including:
Face
Fingerprint
Voice
Iris
Behavioral
Palmprint

Users by Type including:
Mobile Payments
Local (physical)
Remote (Web & App)
Mobile Banking
Mobile eIDV

Companies Referenced in this report: Agricultural Bank of China, Aimbrain, Alibaba, Alipay, Amazon, American Express, Ant Financial, Applied Recognition, Apple, Atom Bank, Aware, Banco Popular de Puerto Rico, Bank of America, Bank of Scotland, Barclays, BehavioSec, BioCatch, Biometric SignatureID, BNP Paribas, Brightek, Certibio, China Construction Bank, China Union Pay, City Bank of Texas, Cognitec, Commercial Bank of China, Crossmatch, Daon, Deutsche Bank, Diamond Fortress, Diebold Nixdorf, Digital Insight, Diners Club, Egis, EMVCo, Epileds, Epistar, Epson, Encap, Experian, Eyelock, FIDO Alliance, Fingerprint Cards, First Direct, FotoNation, Fujitsu, GBG IDScan, Gemalto, Goldman Sachs, Goodix, Google, IDEMIA, IDology, ID R&D, InFocus, ING, iProov, Ｉşbank, HSBC, HYPR, JCB, JP Morgan Chase, Jumio, KeyLemon, Kount, Leumi, Mastercard, Megvii, Microsoft, Mitek Systems, Nationwide Building Society, Natwest Bank, Nice, Nok Nok Labs, Noris Bank, NTT DOCOMO, Nuance, OCBC, OneSpan, Onfido, Osram, PayPal, Princeton Identity, RedRock Biometrics, Royal Bank of Scotland, RSA, Qualcomm, St Georges Bank, Safran, Samsung, Samsung SDS, SecuredTouch, Sharp, SmilePass, SoftKinetic, Sonavation, Sony, Synaptics, Tangerine Bank, TypingDNA, USAA, Veridium, Visa, Vishay, VoiceTrust, Westpac, Xiaomi , Yoti, Zoloz

Table of Contents

Forward

Goode Intelligence

Author

Goode Intelligence Methodology

Regional Definitions

Executive Summary

ES1: Report Scope
ES2: Market and Technology Analysis
ES2.3: Market Drivers and Barriers
ES2.3.1: Market Drivers
ES2.3.2: Market Barriers
ES2.4: Financial Services 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: Mobile Biometrics for Banking
ES2.5.1.1: Mobile Biometrics for Payments
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
ES 2.6.2.1 Iris
ES 2.6.2.1.1 Advantages and Disadvantages of Iris 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
ES2.6.5: Voice Biometrics
ES2.6.5.1 Advantages and Disadvantages of Voice Biometrics
ES2.6.6: Palmprint Biometrics
ES2.6.6.1 Advantages and Disadvantages of Palmprint Biometrics
ES3: Forecasts
ES3.1 Methodology and Assumptions
ES3.2 Mobile Biometrics for Financial Services Forecasts
ES3.2.1 Introduction
ES3.2.2 Mobile Biometrics for Financial Services User Forecasts
ES3.2.2.1 Mobile Biometrics for Financial Services User Forecasts - By Technology (modality)
ES3.2.2.2 Mobile Biometrics for Financial Services User Forecasts - By Technology: Mobile Biometric Identity Verification for Financial Services - Biometric eIDV
ES3.2.2.3 Mobile Biometrics for Financial Services User Forecasts - By Type
ES3.2.3 Mobile Biometrics for Financial Services Revenue Forecasts
ES3.2.3.1 Mobile Biometrics for Financial Services Revenue Forecasts - By Technology
ES3.2.4 Mobile Biometrics for Payment Transaction Volume and Transaction Value Forecasts
ES4: Conclusion

Market and Technology Analysis

Introduction
Market Drivers and Barriers
- Market Drivers
- Market Barriers
Financial Services Biometric Regulation and Technology Standards
- Introduction
- Regulation
  - State and Federal Regulation
    - European Union (EU) General Data Protection Regulation (GDPR)
    - European Union Payment Services Directive (PSD2)
    - Anti-Money Laundering (AML) and Know Your Customer (KYC) Regulation
  - Industry Regulation / Guidelines
    - PCI-DSS
    - USA FFIEC
    - US Economic Growth, Regulatory Relief, and Consumer Protection ACT - MOBILE
  - EMV
  - EMV 3D Secure
  - Bank of Korea
  - Bank of China
  - Hong Kong - The Office of the Privacy Commissioner for Personal Data
- Technology Standards
  - Introduction
  - ISO
  - ANSI
  - UK CESG
  - USA NIST
  - The FIDO Alliance
Technology and Market Adoption
- Market Adoption and Analysis
  - Mobile Biometrics For Banking
    - Introduction
    - Mobile Biometric Architecture For Banking
    - Introduction
    - Device-Based (local) Biometric Models
    - Cloud-Based Biometric Models
  - Biometrics for Electronic Banking - Web-Based Banking
    - Introduction
    - Biometric Step-Up Verification for 3D Secure with RSA Adaptive Authentication
    - Biometrics and Identity Verification
    - Mobile Biometrics for Telephone Banking / Contact Centre
    - Introduction
    - Barclays Bank streamlines telephone banking service by adopting voice biometrics
    - Apple Touch ID and Face ID - Allowing Banks to Support Mobile Biometrics
    - USAA Mobile Multi-Modal Biometrics Banking App - Results of Daon's IdentityX Deployment
    - Biometric Technology Integrated into Separate Technology for use at ATM
  - Mobile Biometrics for Payments
    - Introduction
    - Smart Mobile Device OEMs and Platforms
    - Card Schemes
    - eCommerce Payment Providers
    - Mobile Network Operators - Direct Carrier Billing
Biometric Technology - Analysis and Vendors
- Introduction
- Behavioral Biometrics
  - Introduction
  - Technology Vendors and Service Providers
    - BehavioSec
    - Biometric Signature ID
    - BioCatch
    - TypingDNA
      - Pricing
    - SecuredTouch
  - Advantages and Disadvantages of Behavioral Biometrics
- Eye (Ocular) Biometrics
  - Introduction
    - Iris
    - Introduction
    - Technology Vendors and Service Providers
      - Eyelock
      - Fotonation / Smart Sensors
      - Fingerprint Cards - ActiveIris
      - Princeton Identity
      - Nok Nok Labs
    - Advantages and Disadvantages of Iris Biometrics
- Face
  - Introduction
  - Technology Vendors and Service Providers
    - Applied Recognition
    - Identity Verification - Applied Recognition
    - KeyLemon
    - Iproov
    - SmilePass
    - Daon
    - AimBrain
    - IDEMIA
  - Advantages and Disadvantages of Face Biometrics
- Fingerprint
  - Introduction
  - Technology Vendors and Service Providers -Fingerprint Sensor Manufacturers and Authentication Integrators
  - Fingerprint Cards
    - Sonavation
    - Qualcomm
    - Synaptics Biometrics Product Division
  - Advantages and Disadvantages of Fingerprint Biometrics (Sensors)
  - Camera-Based Fingerprint Biometrics - Touchless
    - Technology Vendors and Service Providers - Touchless Fingerprint Biometrics
      - Diamond Fortress Technologies
      - Veridium
    - Advantages and Disadvantages of Senorless Fingerprint Biometrics
- Voice
  - Introduction
  - Technology Vendors and Service Providers
    - ID R&D
    - Nice
    - Nuance
    - VoiceTrust
  - Advantages and Disadvantages of Voice Biometrics
- Palmprint
  - Introduction
  - Redrock Biometrics
  - Advantages and Disadvantages of Palmprint Biometrics

Forecasts

Methodology and Assumptions
Mobile Biometrics for Financial Services Forecasts
- Introduction
- Mobile Biometrics for Financial Services User Forecasts
  - Mobile Biometrics for Financial Services User Forecasts - By Technology
  - Mobile Biometrics for Financial services User Forecasts - by technology: Fingerprint
  - Mobile Biometrics for Financial Services User Forecasts - by technology: Voice
  - Mobile Biometrics for Financial Services User Forecasts - by technology: Iris
  - Mobile Biometrics for Financial Services User Forecasts - by technology: Behavioral
  - Mobile Biometrics for Financial Services User Forecasts - by technology: Face
  - Biometrics for Payments USer Forecasts - by technology: Palmprint
  - Mobile Biometrics For Financial Services User Forecasts - By Type
  - Mobile Biometrics For Financial Services User Forecasts - By Type: Banking
  - Mobile Biometrics For Financial Services User Forecasts - By Type: Payments
  - Mobile Biometrics For Financial Services User Forecasts - By Type: Local Payments
  - Mobile Biometrics For Financial Services User Forecasts - By Type: Remote Payments
  - Mobile Biometrics For Financial Services User Forecasts - By Type: Combined (Local and Remote)
  - Mobile Biometrics For Financial Services User Forecasts - By Type: Combined
  - Biometrics for Payments User Forecasts - by technology: Mobile Biometric Identity Verification for Financial Services - Biometric eIDV
  - Mobile Biometrics For Financial Services Revenue Forecasts
  - Assumptions on revenue forecasts
  - Mobile Biometrics for Financial Services Revenue Forecasts - by Technology: Fingerprint
  - Mobile Biometrics for Financial Services Revenue Forecasts - by Technology: Voice
  - Mobile Biometrics for Financial Services Revenue Forecasts - by Technology: Iris
  - Mobile Biometrics for Financial Services Revenue Forecasts - by Technology: Behavioral
  - Mobile Biometrics for Financial Services Revenue Forecasts - by Technology: Face
  - Mobile Biometrics for Financial Services Revenue Forecasts - by Technology: Palmprint
  - Mobile Biometrics for Financial Services Revenue Forecasts - Mobile eIDV for Financial Services
  - Mobile Biometrics for Financial Services Revenue Forecasts - Combined
  - Mobile Biometrics for Payment Transaction & Transaction Value Forecasts
  - Assumptions on Transaction & Transaction Value forecasts
  - Mobile Biometrics for Payments Transaction Forecasts - Total Transactions
  - Mobile Biometrics for Payments Transaction Forecasts - Total Value ($)

Appendices

Appendix A: How Can Banks Measure Biometric Technology? A Guide to Choosing the Right Biometric System
- Introduction
- Biometric Performance
- Usability
- Security
- Banking Regulation

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