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Mobile Payment Security: Biometric Authentication & Tokenisation 2018-2023

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Mobile Payment Security: Biometric Authentication & Tokenisation 2018-2023
Published: July 25, 2018 Content info:
Description

Overview

Our ‘Mobile Payment Security’ research offers the most in-depth assessment to date of the opportunities and challenges across the key fields of payment tokenisation and biometric authentication.

It assesses the impact of a range of recent legislation and industry initiatives, as well as providing a thorough analysis of the impact of secure hardware and cloud-based business models on the security space.

The research also provides industry benchmark forecasts for tokenisation and biometrically-authenticated payments; supplying key metrics for both in-person and remote transactions, split by transaction type covering:

  • Fingerprints
  • Facial Recognition
  • Iris Scanning
  • Voice Biometrics

This research suite comprises:

  • Deep Dive Strategy & Competition (PDF)
  • 5 Year Deep Data & Forecasting (PDF & Excel)
  • Executive Summary & Core Findings (PDF)

Key Features

  • Sector Dynamics: Analysis of key trends and primary challenges across the payment security space, highlighting the impact of:
    • IoT Tokenisation
    • Tokenisation regulation and standards
    • Biometric remote payments
    • The evolution of biometric modalities
    • Hardware evolution and considerations
    • Regulatory and standards body changes to payments, including:
      • PSD2
      • FIDO2
      • EMVCo Secure Remote Commerce
  • Juniper Leaderboards: Provided for the tokenisation and biometrics industries, with attendant heatmap based scoring of 21 key players:
    • Acuant
    • AimBrain
    • Aware
    • Braintree
    • Carta International
    • First Data Corporation
    • Fujitsu
    • Gemalto
    • Giesecke+Devrient
    • HYPR
    • IDEMIA
    • Infosys
    • Mastercard
    • MeaWallet
    • Nuance
    • NXT-ID
    • Precise Biometrics
    • Rambus
    • Stripe
    • Visa
    • ZOLOZ
  • Interviews: With leading players across the mobile payments and security value chain, including
    • Acuant
    • AimBrain
    • First Data Corporation
    • Gemalto
    • Giesecke+Devrient
    • IDEMIA
    • Nuance
    • NXT-ID
    • Precise Biometrics
    • Rambus
    • Stripe
  • Benchmark Industry Forecasts: Provided for the size and growth of tokenisation, biometric POS payments and remote payments, including:
    • Biometric devices
    • Biometric users for payment authentication
    • Modalities present
    • Modalities used for payment authentication
    • Biometric transaction volume and value
    • Tokenised contactless transaction volume

Key Questions

  • 1. How is the use of biometrics in mobile payments changing?
  • 2. How will hardware change to support new forms of mobile security?
  • 3. Which markets will have the strongest adoption of mobile security practices, and why?
  • 4. What impact will new regulatory requirements and guidelines have on payment security practices?
  • 5. Who are the leading players in mobile transaction security, and what are their strategies?

Companies Referenced

  • Interviewed: Acuant, AimBrain, First Data Corporation, G+D (Giesecke+Devrient), Gemalto, IDEMIA, Nuance, NXT-ID, Precise Biometrics, Rambus, Stripe.
  • Profiled: Acuant, AimBrain, Aware, Braintree, Carta Worldwide, First Data Corporation, Fujitsu, G+D (Giesecke+Devrient), Gemalto, HYPR, IDEMIA, Infosys, Mastercard, MeaWallet, Nuance, NXT-ID, Precise Biometrics, Rambus, ZOLOZ.
  • Case Studied: AimBrain, IBM, Visa.
  • Mentioned: 3dcart, 3M Cogent, ABnote (American Banknote Corporation), Accenture, Accullink, Adyen, Agilent Technologies, Alibaba, Amazon, American Express, Ant Financial, Apple, Arbejdernes Landsbank, areeba, ARM, Association of Local Banks, Savings Banks and Cooperative Banks, AssureTec Technologies, Bank of Montreal Financial Group, Bank One, BankAxept AS, BigCommerce, BioCatch, BlackBerry, Boltt, Booking, Bradesco Claro, CardConnect, Cardlink SA, Carrefour, Cascade Financial Technology, Chronos, Coin, Commonwealth Bank of Australia, Coodon, Cooperative Financial Network, Crossgate, Dabbl, Dai Nippon Printing Co, de Volksbank, Deliveroo, Deutsche Bank, Diebold Nixdorf sro, Discover, eBay, EdgeVerve Systems, eftpos Payment Australia, EMVCo, Ericsson, Erste Bank, Etisalat, ETSI, Eurobank, Europay, European Payments Council, Facebook, FIDO Alliance, FitPay, FotoNation, Funkwerk AG, Garmin, Gemalto, German Savings Bank Association, GlobalPlatform, Google, GSMA, GSMarena.com, HDFC Bank, HP Labs, Huawei, iDENprotect, IDnow, ImageWare, InAuth, Index, Indie Hackers, Indiegogo, Industrial Bank, ING, Ingenico, Inside Secure, Interac, Invuo Technologies, ISO (International Organization for Standardization), Jack Henry & Associates, Japan Card Network Co, Java Card Forum, JCB, JCP Japan, Jyske Bank, Kantar TNS, KDDI, Kickstarter, Klarna, KONA I Co, Kurzweil AI, L&H, LogicMark, Lyft, Microsoft, MONEXT SAS, Monzo, Mount Airey, National Payment Card System Joint Stock Company, Nets, Nok Nok Labs, NOVAData, NOW Money, NXP, Nykredit Bank, Nymi, Oberthur, OpenVPN, OSPT Alliance, Payable, Paydiant, Paylib, PayPal, PaySafe, PerSay, PMC-Sierra, Promoción y Operación SA de CV, Qualcomm, Rabobank, Redsys Servicios de procesamiento SL, RSA, Safran, Samsung, Saudi Arabian Monetary Authority, SD Association, Serco Group, Siemens, SIX Payment Services, Slack, Smart Card Alliance, Smartlink, Spar Nord Bank, Square, STET, Swisscom, Sydbank, Synaptics, Taiwan Mobile Payment Co, Technest Holdings, Tencent, Thales, The Bokis Partnership, The Clearing House Secure Digital Payments, ToneTag, TotalTrax, Trustonic, Turkcell, UniCredit Group, UnionPay, United Overseas Bank, Vantiv, Venmo, Verve International, VoiceSign, Voleo, WeChat, WiZink, WooCommerce, Worldpay, Xoom, Yodel, Zvetco, Zwipe.

Data & Interactive Forecast

Juniper's ‘Mobile Payment Security’ forecast suite includes:

  • Market splits for 8 key regions and by 12 key countries:
    • Australia
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • Spain
    • Sweden
    • UK
    • US
  • Mobile biometric authentication payment devices, usage and transaction values, split by:
    • Contactless In-Store Payments
    • Remote Payments
  • Biometric adoption and payment usage forecasts split by modality:
    • Fingerprints
    • Facial Recognition
    • Iris Scanning
    • Voice Biometrics
  • Contactless tokenisation adoption and transaction volume.
  • Mobile identity and universal login service users, service pricing and operator service revenues.
  • Interactive Scenario tool allowing user the ability to manipulate Juniper's data for 15 different metrics.
  • Access to the full set of forecast data of 70 tables and nearly 10,000 data points.

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper's forecast data and charts to test their own assumptions using the Interactive Scenario Tool, and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

Table of Contents

Deep Dive Strategy & Competition

1. Mobile Payments Security: Market Status & Key Trends

  • 1.1. Introduction
  • 1.2 Key Takeaways
    • Figure 1.1: Mobile Payment Security Key Forecast Takeaways
  • 1.3 Key Mobile Payment Security Trends
    • 1.3.1. Tokenisation
      • i. Standardisation
      • ii. Cryptographics & Hardware
    • 1.3.2. Biometric Security Trends
      • i. Multi-modal & Behavioural Biometrics
      • ii. Biometrics-as-a-Service
  • 1.4 Key Trends in the Online Payment Space
    • 1.4.1. The Rise of mCommerce
      • Figure & Table 1.2: Mobile & Online Remote Purchases(Digital & Physical Goods, $bn) By Selected Countries & Regions, 2017
    • 1.4.2. Online Payment Fraud is Increasing
      • Figure 1.8: Key Online Payment Fraud Statistics, 2017
    • 1.4.3. The Rise of Alternative Payments
      • Figure 1.11: Global Physical Goods eRetail Transactions 2017, By Payment Mechanism(57.8 billion)
      • Figure 1.12: iDEAL Transactions Per Annum(m), 2012-2017
    • 1.4.4. Increased Consolidation in Payment Processor Arena

2. Mobile Payments Tokenisation: Market Evolution Status

  • 2.1. Introduction - What is Tokenisation?
    • Figure 2.1: Tokenisation Procedure
    • Figure 2.2: Juniper Strategy Quadrant for Tokenisation Methods
  • 2.2. Tokenisation Development
    • 2.2.1. The Impact of Mobile Wallets
    • 2.2.2. eCommerce & Interoperability
    • 2.2.3. Blockchain & Tokenisation
  • 2.3. Beyond Mobile Payment: Tokenisation in the IoT
    • 2.3.1. Where is the Token?
      • Case Study: IBM Watson & Visa Token Service
  • 2.4. Tokenisation Challenges
    • 2.4.1. Managing Risk
    • 2.4.2. Power Requirements
    • 2.4.3. The Role of Hardware
      • i. TEE vs SE
      • ii. Invisible & Automatic Payments
      • iii. Cryptographic Processing

3. Mobile Payments Tokenisation: Competitive Landscape & Leaderboard

  • 3.1. Mobile Tokenisation Vendor Analysis
    • 3.1.1. Vendor Assessment Criteria
      • Table 2.3: Mobile Tokenisation Vendor Assessment Criteria
    • 3.1.2. Vendor Analysis: Capability Assessment & Market Positioning
      • Table 2.4: Juniper Tokenisation Leaderboard Scoring Matrix: Capability & Capacity vs Product & Position
      • Figure 2.5: Juniper Leaderboard for Mobile Tokenisation Providers
    • 3.1.3. Vendor Groupings & Conclusion
      • i. Summary
      • ii. Established Leaders
      • iii. Leading Challengers
    • 3.1.4. Limitations & Interpretation
  • 3.2. Mobile Tokenisation, Authentication & Identity Industry Movers & Shakers
  • 3.3. Vendor Profiles
    • 3.3.1. Braintree
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.2. Carta Worldwide
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.3. First Data Corporation
      • i. Corporate
        • Table 2.6: First Data Corporation Financial Snapshot,($m) 2016-2017(FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.4. Giesecke+Devrient
      • i. Corporate
        • Table 2.7: Giesecke+Devrient Financial Snapshot,(€m) 2016-2017(FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.5. Gemalto
      • i. Corporate
        • Table 2.8: Gemalto Financial Snapshot,(€m) 2016-2017(FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.6. HYPR
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.7. IDEMIA
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.8. Infosys Finacle
      • i. Corporate
        • Figure 2.9: Infosys Group Revenue($m) Split by Key Regions FY2013-FY2017
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.9. Mastercard
      • i. Corporate
        • Table 2.10: Mastercard Financial Snapshot,($m) 2016-2017(FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.10. MeaWallet
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.11. Rambus
      • i. Corporate
        • Table 2.11: Rambus Financial Snapshot,($m) 2016-2017(FYE 30st September)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
        • Figure 2.12: Rambus' Token Gateway
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.12. Stripe
      • i. Corporate
        • Table 2.13: Stripe Acquisitions
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.3.13. Visa
      • i. Corporate
        • Table 2.14: Visa Financial Performance Snapshot,($m) 2016-2017(FYE 30th September)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Visa Key Strengths & Strategic Development Opportunities

4. Mobile Biometric Security: Market Evolution & Status

  • 4.1. Introduction
  • 4.2. Biometric Modalities
    • 4.2.1. Fingerprint Sensors: De Facto or Defunct?
      • Figure 3.1: Proportion of Released Smartphones with Fingerprint Sensors, 2018 YTD(%)
      • Figure 3.2: Smartphone Security Method Usage
    • 4.2.2. Biometrics & Authentication
      • i. The Role of Behaviour
        • Case Study: AimBrain BIDaaS
    • 4.2.3. The Rise of Facial Recognition
      • Figure 3.3: Smartphone Notch Designs
  • 4.3. Biometrics-as-a-Service
  • 4.4. Biometrics Challenges
    • 4.4.1. Convenience vs Security
    • 4.4.2. Data Breaches & Data Theft
    • 4.4.3. Which Modalities?

5. Mobile Biometric Security: Competitive Landscape & Leaderboard

  • 5.1. Mobile Biometrics Vendor Analysis
    • 5.1.1. Vendor Assessment Criteria
      • Table 3.4: Mobile Biometrics Vendor Assessment Criteria
    • 5.1.2. Vendor Analysis: Capability Assessment & Market Positioning
      • Table 3.5: Juniper Mobile Biometrics Providers Leaderboard Scoring Matrix: Capability & Capacity vs Product & Position
      • Figure 3.6: Juniper Leaderboard for Mobile Biometrics Providers
    • 5.1.3. Vendor Groupings & Conclusion
      • i. Summary
      • ii. Established Leaders
      • iii. Leading Challengers
      • iv. Disruptors & Emulators
    • 5.1.4. Limitations & Interpretation
  • 5.2. Mobile Biometrics Industry Movers & Shakers
  • 5.3. Vendor Profiles
    • 5.3.1. Acuant
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
        • Figure 3.7: Acuant Document Verification Process
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.2. AimBrain
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.3. Aware
      • i. Corporate
        • Table 3.8: Aware Financial Snapshot,($m) 2016-2017(FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.4. Fujitsu
      • i. Corporate
        • Table 3.9: Fuijitsu Financial Snapshot,($bn) 2016-2017(FYE 31st March)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
        • Figure 3.10: Fujitsu PalmSecure Mouse
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.5. Gemalto
      • i. Corporate
        • Table 3.11: Gemalto Financial Snapshot,(€m) 2016-2017(FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.6. Giesecke+Devrient
      • i. Corporate
        • Table 3.12: Giesecke+Devrient Financial Snapshot,(€m) 2016-2017(FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.7. IDEMIA
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.8. Mastercard
      • i. Corporate
        • Table 3.13: Mastercard Financial Snapshot,($m) 2016-2017(FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.9. Nuance
      • i. Corporate
        • Table 3.14: Nuance Financial Snapshot,($m) 2016-2017(FYE 30th September)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.10. NXT-ID
      • i. Corporate
        • Table 3.15: NXT-ID Financial Snapshot,($m) 2016-2017(FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.11. Precise Biometrics
      • i. Corporate
        • Table 3.16: Precise Biometrics Financial Snapshot,($m) 2016-2017(FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 5.3.12. ZOLOZ
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities

Deep Dive Data & Forecasting

1. Biometric Authentication & Tokenisation: An Overview

  • 1.1. Introduction
  • 1.1. Introduction
  • 1.2. Key Takeaways
    • Figure 1.1: Mobile Payment Security Key Forecast Takeaways

2. Methodology

  • 2.1. Introduction
  • 2.2. Biometric Authentication & Tokenisation Forecast Model
  • 2.3. Mobile Identity Forecast Model
    • Figure 2.1: Methodology: Biometric Authentication Market Sizing & Forecasts
    • Figure 2.2: Methodology: Mobile Identity Market Sizing & Forecasts

3. Biometric Authentication & Tokenisation Forecasts

  • Figure & Table 3.1: Smartphones Featuring Biometric Authentication Hardware a Percentage of Total Smartphone Installed Base(%), Split by 8 Key Regions 2018-2023
  • Figure & Table 3.2: Total Smartphones Featuring Biometric Scanners, Installed Base(m), Split by 8 Key Regions 2018-2023
  • 3.1.1. Available Biometric Authentication Modalities
    • i. Hardware Modalities
      • Figure & Table 3.3: Proportion of Biometric Smartphones Featuring Each Hardware-based Biometric Modality(%), Split by Category 2018-2023
    • ii. Software Modalities
      • Figure & Table 3.4: Proportion of Smartphones Capable of Each Software-based Biometric Modality(%), Split by Category 2018-2023
  • 3.2. Biometric Authentication Adoption: Contactless Payments
    • Figure & Table 3.5: Percentage of Smartphones with Biometrics Using Biometric Authentication for Contactless Payment Authentication(%), Split by 8 Key Regions 2018-2023
    • Figure & Table 3.6: Total Number of Smartphones Using Biometric Authentication for Contactless Payments(m), Split by 8 Key Regions 2018-2023
  • 3.3. Biometric Authentication Usage Levels: Contactless Payments
    • Figure & Table 3.7: Smartphones, Average Number of Biometrically Authenticated Contactless Transactions per Device Per Annum, Split by 8 Key Regions, 2018-2023
    • Figure & Table 3.8: Smartphones, Total Number of Biometrically Authenticated Contactless Transactions per Annum(m), Split by 8 Key Regions 2018-2023
  • 3.4. Biometric Authentication Transaction Value: Contactless Payments
    • Figure & Table 3.9: Smartphones, Average Value of Biometrically Authenticated Contactless Transactions($), Split by 8 Key Regions 2018-2023
    • Figure & Table 3.10: Smartphones, Total Transaction Value, Biometrically Authenticated Contactless Transactions($m), Split by 8 Key Regions 2018-2023
  • 3.5. Biometric Authentication Adoption: Remote Payments
    • Figure & Table 3.11: Smartphone Users Making Remote Payments for Physical Goods(m), Split by 8 Key Regions 2018-2023
    • Figure & Table 3.12: Percentage of Smartphone Remote Payment Users Verifying Purchases via Biometrics(%) Split by 8 Key Regions 2018-2023
    • Figure & Table 3.13: Number of Smartphone Remote Payment Users Verifying Purchases via Biometrics(m) Split by 8 Key Regions 2018-2023
  • 3.6. Biometric Authentication Usage Levels: Remote Payments
    • Figure & Table 3.14: Average Number of Remote Smartphone Payments Per User Per Annum that are Biometrically Verified, Split by 8 Key Regions 2018-2023
    • Figure & Table 3.15: Total Number of Remote Smartphone Payments Per Annum that are Biometrically Verified(m), Split by 8 Key Regions 2018-2023
  • 3.7. Biometric Authentication Transaction Value: Remote Payments
    • Figure & Table 3.16: Average Remote Payment Transaction Value($) Split by Key Regions 2018-2023
    • Figure & Table 3.17: Total Transaction Value, Biometrically Verified Remote Payments($m) Split by 8 Key Regions 2018-2023
  • 3.8. Total Biometric Transaction Volume
    • Figure & Table 3.18: Smartphones, Total Biometrically Authenticated Mobile Transaction Volumes(m), Split by 8 Key Regions 2018-2023
  • 3.9. Total Biometric Transaction Value
    • Figure & Table 3.19: Smartphones, Total Biometrically Authenticated Mobile Transaction Values($m), Split by 8 Key Regions, 2018-2023
  • 3.10. Tokenisation Forecasts
    • Figure & Table 3.20: Percentage of Contactless Mobile Transactions Using Tokenisation(%), Split by 8 Key Regions, 2018-2023

4. Mobile Identity Forecasts

  • 4.1. Mobile Identity Adoption
    • Figure & Table 4.1: Percentage of Mobile Subscribers Using MSISDN for Single Sign In(%) Split by 8 Key Regions 2018-2023
    • Figure & Table 4.2: Number of Mobile Subscribers Using MSISDN for Single Sign In(m) Split by 8 Key Regions 2018-2023
  • 4.2. Mobile Identity Monetisation
    • Figure & Table 4.3: Average Cost Per Month Per mID/Universal Customer($) Split by 8 Key Regions 2018-2023
    • Figure & Table 4.4: Total MNO Direct Revenues from mID/Universal Login($m) Split by 8 Key Regions 2018-2023
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