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市場調查報告書

移動支付數據保護:令牌化,加密,市場預測(2021-2025)

Mobile Payment Data Protection: Tokenisation, Encryption & Market Forecasts 2021-2025

出版商 Juniper Research Ltd 商品編碼 996337
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
價格
移動支付數據保護:令牌化,加密,市場預測(2021-2025) Mobile Payment Data Protection: Tokenisation, Encryption & Market Forecasts 2021-2025
出版日期: 2021年03月15日內容資訊: 英文
簡介

本報告詳細分析了移動數據保護市場的機遇和挑戰,評估了各種最新法律和行業標準的影響,並為安全空間提供了安全的硬件和基於雲的業務模型。分析影響。

目錄

第1章移動支付威脅情況

  • 簡介
    • 調查的定義和範圍
  • 生態系統概述
    • 開放銀行:新的生態系統組成部分
  • 移動欺詐趨勢
    • 社交媒體
    • 未經授權或未經授權的應用
    • 數據披露
    • 按需服務平台和其他付款應用程序欺詐
    • 虛假註冊以劫持移動身份驗證/支付應用程序

第2章移動支付數據保護:市場動態

  • 簡介
  • 付款編排和服務分層
  • 令牌化
  • 使用COTS或PCIC PoC進行PCI非接觸式付款
  • EMVCo優勢形成和空間加速
    • EMVCo和物聯網
    • EMV,電子商務和互操作性
  • P2PE(點對點加密)
    • 白盒加密
  • OIDC,FAPI和推送身份驗證請求
  • AI(人工智能)
    • 入職
    • 交易行為
    • 網絡防禦
  • 開放銀行和支付的未來
  • 付款數據保護挑戰
    • 法規與隱私
    • 設備上和雲存儲
    • ID

第3章移動支付數據保護:競爭形勢

  • 簡介
  • 供應商分析和瞻博網絡研究排行榜
    • 供應商評估標準
    • 供應商分組
    • 限制和解釋
  • 供應商資料
    • Braintree
    • Carta Worldwide
    • EdgeVerve
    • Fiserv
    • Giesecke+Devrient
    • IDEMIA
    • Mastercard
    • MeaWallet
    • Micro Focus
    • Protegrity
    • Shift4
    • Thales
    • Trustonic
    • Visa

第4章移動支付數據保護:市場預測

  • 令牌化簡介
  • 令牌化預測的先決條件
  • 非接觸式令牌化
    • 非接觸式令牌的數量
    • 非接觸式令牌化收入
  • 遠程令牌化
    • 採用遠程令牌化
    • 遠程令牌化卷
    • 代幣化收入
目錄

Juniper Research's new “ Mobile Payment Data Protection ” research report offers the most in-depth assessment to date of the opportunities and challenges for the mobile data protection market. The report assesses the impact of a range of recent legislation and industry standards, as well as providing a thorough analysis of the impact of secure hardware and cloud-based business models on the security space. It also analyses a range of data protection vendors via a Juniper Research Leaderboard.

The Mobile Payment Data Protection research also provides industry benchmark forecasts for tokenisation; supplying key metrics for both in-person and remote transactions, split by transaction type covering:

  • Contactless Payments
  • Remote Payments

This research suite comprises:

  • Strategy & Forecasts (PDF)
  • 5-Year Deep Dive Data & Forecasting (PDF/IFxl)
  • 12 months' access to harvest online data platform

KEY FEATURES

  • Data Protection Sector Dynamics: Analysis of key trends and primary challenges across the data protection space; highlighting the impact of:
    • Tokenisation regulation and standards
    • Hardware evolution and considerations
    • Trends and evolution in point-to-point encryption
  • Interviews: 5 leading vendors interviewed, including:
    • Fiserv
    • G+D
    • Okta
    • Thales
    • Trustonic
  • Juniper Research Data Protection Leaderboard: 14 key mobile payment data protection vendors positioned on the Juniper Research Leaderboard; accompanied by heatmap-based scoring and individual player analysis. Vendors covered include:
    • Braintree
    • Carta Worldwide
    • EdgeVerve
    • Fiserv
    • G+D
    • IDEMIA
    • Mastercard
    • MeaWallet
    • Micro Focus
    • Protegrity
    • Shift4
    • Thales
    • Trustonic
    • Visa
  • Benchmark Industry Forecasts: Forecasts sizing markets up to 2025 for contactless tokenisation and remote payment tokenisation, split by our 8 key regions and by the below 19 countries:
    • Australia
    • Brazil
    • Canada
    • China
    • Denmark
    • France
    • Germany
    • India
    • Japan
    • Mexico
    • Netherlands
    • Norway
    • Portugal
    • Saudi Arabia
    • South Korea
    • Spain
    • Sweden
    • UK
    • US

KEY QUESTIONS

  • 1. What forms of encryption and device security are being used to secure mobile payments?
  • 2. What forms of tokenisation will be dominant in the future of the market?
  • 3. Which markets will have the strongest adoption of mobile data protection practices, and why?
  • 4. What impact will new regulatory requirements and standards have on payment data protection practices?
  • 5. Who are the leading players in mobile payment data protection, and what are their strategies?

COMPANIES REFERENCED

  • Interviewed: Fiserv, G+D, Okta, Thales, Trustonic.
  • Case Studied: G+D.
  • Included in Juniper Research Leaderboard: Braintree, Carta Worldwide, EdgeVerve, Fiserv, G+D, IDEMIA, Mastercard, MeaWallet, Micro Focus, Protegrity, Shift4, Thales, Trustonic, Visa.
  • Mentioned: Advent International, African Banking Corporation, Aion, Airbnb, Allegacy Federal Credit Union, AllPay, Amex Express, Apple, Australia Post, AWS (Amazon Web Services), Axepta BNP Paribas, Axis Bank, Bancolombia, Bancorp, Bank Liberty, BCP (Banco de Crédito del Perú), Bromium, Central Bank, Citi, Citrix, Cornercard, Deakin University, Deliveroo, Deutsche Bank, DiPocket, Discover Financial Services, Electrum, Emirates NBD, Equity Bank, eServGlobal, ETH Zurich, Europay, Facebook, FeliCa, Finicity, First Data, Fitbit, Fortress Identity, Fraud Detect, Garmin, German Postbank, Global Processing Services, Google, GSMA, Harbortouch, HealthCare First Credit Union, Hewlett-Packard Enterprise, HomeSend, Horizon Investments, HPB, ICICI Bank, Ideakapital, Infosys, ING, Ingenico, Instagram, Invuo, Kavado, KB Kookmin Bank, KDB Bank , Konsentus, Kotak Mahindra Bank, Kount, LG, Lighthouse Network, Magento, Modulr, Mogo, Morpho, NBT Bank, Netcetera, New York Community Bank, NIST (National Institute of Standards and Technology), Oberthur Technologies, OpenCart, OT, Pannovate, PayCentral, Payfare, PayPal, PCI Security Standards Council, Plaid, Pocket, Portland Local 8 Federal Credit Union, Protegrity, RakBank, RCBC, RSA, Samsung, Santander, Shinhan Bank, Shopify, ShopWare, ShopWired, Sionic Mobile, Smartlink, Snowflake, Sodexo, Softonic, Spreedly, Staley Credit Union, Standard Bank, State Bank of India, STG (Summit Technology Group), Stripe, Swatch, Synchrony, Telegram, Tink, T-Mobile, TransferWise, Truelayer, TymeBank, Uber, UnionPay, UniSwap, Venmo, Verifi, Verizon, W2 Global, WhatsApp, White Label Alliance, Xcelera, YouGov.

DATA & INTERACTIVE FORECAST

Juniper Research's “ Mobile Payment Data Protection ” forecast suite includes:

  • Forecast splits for 8 key regions, as well as 19 country-level data splits for:
    • Australia
    • Brazil
    • Canada
    • China
    • Denmark
    • France
    • Germany
    • India
    • Japan
    • Mexico
    • Netherlands
    • Norway
    • Portugal
    • Saudi Arabia
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Tokenisation adoption and transaction volume, split by:
    • Contactless Tokenisation
    • Remote Tokenisation
  • Interactive Scenario Tool allowing users to manipulate Juniper Research's data for 5 different metrics.
  • Access to the full set of forecast data of 34 tables and more than 6,900 datapoints.

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

Table of Contents

1. Mobile Payment Threat Landscape

  • 1.1 Introduction
    • 1.1.1 Definitions & Report Scope
  • 1.2 Ecosystem Outline
    • Figure 1.1: Possible Threat Channels
    • 1.2.1 Open Banking: A New Ecosystem Component
  • 1.3 Mobile Fraud Trends
    • 1.3.1 Social Media
      • Figure 1.2: Example of Social Media Fraud
    • 1.3.2 Rogue or Unauthorised Apps
    • 1.3.3 Data Exposure
      • Figure 1.3: Twitter, November 2020
      • Figure 1.4: Fake Update Notice for Electrum Wallet
    • 1.3.4 On-demand Services Platforms and Other Payment App Scams
    • 1.3.5 Fake Enrolment to Hijack Mobile Authentication/Payment Apps

2. Mobile Payment Data Protection: Market Dynamics

  • 2.1 Introduction
  • 2.2 Payment Orchestration and Service Layering
  • 2.3 Tokenisation
  • 2.4 PCI Contactless Payments on COTS or PCI CPoC
  • 2.5 EMVCo Dominance Shaping & Accelerating the Space
    • 2.5.1 EMVCo and IoT
    • 2.5.2 EMV, eCommerce & Interoperability
  • 2.6 P2PE (Point-to-Point Encryption)
    • 2.6.1 White-box Cryptography
  • 2.7 OIDC, FAPI, and Push Authorisation Request
  • 2.8 AI (Artificial Intelligence)
    • 2.8.1 Onboarding
    • 2.8.2 Transaction Behaviours
    • 2.8.3 Network Defences
  • 2.9 Open Banking and the Future of Payments
  • 2.10 Payment Data Protection Challenges
    • 2.10.1 Regulations and Privacy
    • 2.10.2 On-device vs Cloud Storage
      • i. On-device Security: TEE vs SE
    • 2.10.3 Identity
  • i. G+D Convego Service Broker

3. Mobile Payment Data Protection: Competitive Landscape

  • 3.1 Introduction
  • 3.2 Vendor Analysis & Juniper Research Leaderboard
    • 3.2.1 Vendor Assessment Criteria
      • Figure 3.1: Mobile Payment Data Protection Vendor Assessment Criteria
      • Figure 3.2: Juniper Research Payment Data Protection Leaderboard Heatmap
      • Figure 3.3: Juniper Leaderboard for Payment Data Protection Providers
    • 3.2.2 Vendor Groupings
      • i. Summary
      • ii. Established Leaders
      • iii. Leading Challengers
      • iv. Disruptors & Emulators
    • 3.2.3 Limitations & Interpretation
  • 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 Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.2 Carta Worldwide
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.3 EdgeVerve
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.4 Fiserv
      • i. Corporate
        • Table 3.4: Fiserv Financial Snapshot ($bn), 2017-2019
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.5 Giesecke+Devrient
      • i. Corporate
        • Table 3.6: G+D Financial Snapshot, (€m) 2018-2019 (FYE 31st December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.6 IDEMIA
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.7 Mastercard
      • i. Corporate
        • Table 3.7: Mastercard Financial Performance Snapshot ($m), 2017-2019
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.8 MeaWallet
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.9 Micro Focus
      • i. Corporate
        • Table 3.8: Micro Focus Financial Snapshot ($m), FY 2018-2019
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Figure 3.9: Micro Focus Strategic Partners
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.10 Protegrity
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Figure 3.12: Protegrity Partners
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.11 Shift4
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.12 Thales
      • i. Corporate
        • Table 3.5: Gemalto by Thales DIS Financial Snapshot, (€m), 2018-2019 (FYE 31st December) - Digital Identity and Security Segment Only
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.13 Trustonic
      • i. Corporate
        • Table 3.10: Trustonic Financial Snapshot, ($m), FY2018-2019 (YE 31st December) £'000 (GBP)
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 3.11: Trustonic Solutions
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 3.3.14 Visa
      • i. Corporate
        • Table 3.13: Visa Financial Performance Snapshot, ($m), FY2018-2020 (FYE 30th September)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Visa Consumer Authentication Service
      • vi. Juniper Research's View: Key Strengths & Strategic Development Opportunities

4. Mobile Payment Data Protection: Market Forecasts

  • 4.1 Tokenisation - Introduction
  • 4.2 Tokenisation Forecast Assumptions
    • Figure 4.1: Biometric Authentication Forecast Methodology
    • Figure 4.2: Contactless Mobile Payment Tokenisation Methodology
  • 4.3 Contactless Tokenisation
    • 4.3.1 Contactless Token Volume
      • Figure & Table 4.3: Number of Contactless Mobile Payments that are Tokenised per annum (m), Split by 8 Key Regions, 2020-2025
    • 4.3.2 Contactless Tokenisation Revenue
      • Figure & Table 4.4: Contactless Tokenisation Revenue per annum ($m), Split by Key Regions, 2020-2025
  • 4.4 Remote Tokenisation
    • 4.4.1 Remote Tokenisation Adoption
      • Figure & Table 4.5: Proportion of Remote Mobile Transactions Using Tokenisation (%), Split by 8 Key Regions, 2020-2025
    • 4.4.2 Remote Tokenisation Volume
      • Figure & Table 4.6: Number of Remote Mobile Payments that Are Tokenised per annum (m), Split by 8 Key Regions, 2020-2025
    • 4.4.3 Tokenisation Revenue
      • Figure & Table 4.7: Remote Tokenisation Revenue per annum ($m), Split by 8 Key Regions, 2020-2025