お知らせ :東京証券取引所JASDAQスタンダード市場への新規上場に関するお知らせ
株式会社グローバルインフォメーション
表紙
市場調査レポート
商品コード
996337

モバイルペイメントデータ保護:トークン化、暗号化、市場予測 (2021-2025年)

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

出版日: | 発行: Juniper Research Ltd | ページ情報: 英文 | 納期: 即日から翌営業日

価格
価格表記: GBPを日本円(税抜)に換算
本日の銀行送金レート: 1GBP=154.49円
モバイルペイメントデータ保護:トークン化、暗号化、市場予測 (2021-2025年)
出版日: 2021年03月15日
発行: Juniper Research Ltd
ページ情報: 英文
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

当レポートは、モバイルデータ保護市場の機会と課題に詳細に分析し、最近のさまざまな法律や業界標準の影響を評価するとともに、セキュリティスペースに対する安全なハードウェアとクラウドベースのビジネスモデルの影響を徹底的に分析しています。

目次

第1章 モバイルペイメントの脅威の情勢

  • イントロダクション
    • 定義と調査範囲
  • エコシステムの概要
    • オープンバンキング:新しいエコシステムコンポーネント
  • モバイル詐欺の動向
    • ソーシャルメディア
    • 不正または無許可アプリ
    • データ公開
    • オンデマンドサービスプラットフォームおよびその他のペイメントアプリ詐欺
    • モバイル認証/ペイメントアプリを乗っ取るための偽の登録

第2章 モバイルペイメントデータ保護:市場力学

  • イントロダクション
  • ペイメントオーケストレーションとサービスの階層化
  • トークン化
  • COTSまたはPCIC PoCでのPCI非接触型ペイメント
  • EMVCoドミナンスの形成とスペースの加速
    • EMVCoとIoT
    • EMV、eコマースおよび相互運用性
  • P2PE(ポイントツーポイント暗号化)
    • ホワイトボックス暗号化
  • OIDC、FAPI、およびプッシュ認証リクエスト
  • AI(人工知能)
    • オンボーディング
    • トランザクションの動作
    • ネットワーク防御
  • オープンバンキングとペイメントの未来
  • ペイメントデータ保護の課題
    • 規制とプライバシー
    • オンデバイスとクラウドストレージ
    • ID

第3章 モバイルペイメントデータ保護:競合情勢

  • イントロダクション
  • ベンダー分析とJuniper Research Leaderboard
    • ベンダー評価基準
    • ベンダーのグループ化
    • 制限と解釈
  • ベンダープロファイル
    • Braintree
    • Carta Worldwide
    • EdgeVerve
    • Fiserv
    • Giesecke+Devrient
    • IDEMIA
    • Mastercard
    • MeaWallet
    • Micro Focus
    • Protegrity
    • Shift4
    • Thales
    • Trustonic
    • Visa

第4章 モバイルペイメントデータ保護:市場予測

  • トークン化-イントロダクション
  • トークン化の予測の前提条件
  • 非接触型トークン化
    • 非接触型トークンの量
    • 非接触型トークン化の収益
  • リモートトークン化
    • リモートトークン化の採用
    • リモートトークン化ボリューム
    • トークン化の収益
目次

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
株式会社グローバルインフォメーション
© Copyright 1996-2021, Global Information, Inc. All rights reserved.