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行動付款 (手機付款) 認證 - 生物辨識,法規,預測:2020年∼2024年

Mobile Payment Authentication: Biometrics, Regulation & Forecasts 2020-2024

出版商 Juniper Research Ltd 商品編碼 932113
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
行動付款 (手機付款) 認證 - 生物辨識,法規,預測:2020年∼2024年 Mobile Payment Authentication: Biometrics, Regulation & Forecasts 2020-2024
出版日期: 2020年01月07日內容資訊: 英文

關於行動付款 (手機付款) 認證的主要領域的機會與課題,不僅評價最近各種法律和業界標準的影響,徹底分析安全的硬體設備和雲端基礎的經營模式安全領域的影響。

生物辨識 (生物識別) ,包含指紋,臉部辨識,虹膜掃描,語音生物辨識,也提供生物識別付款的產業基準預測。



  • 市場趨勢、機會 (PDF)
  • 5年的市場規模、預測的試算表 (Excel)


  • 各部門趨勢
  • 法規、標準化團體
  • Juniper Research Leaderboard
  • 採訪
  • 基準產業預測




  • 市場明細:主要8個地區,主要13個國家
    • 澳洲
    • 加拿大
    • 中國
    • 丹麥
    • 德國
    • 日本
    • 挪威
    • 葡萄牙
    • 韓國
    • 西班牙
    • 瑞典
    • 英國
    • 美國
  • 行動生物識別付款設備、利用、交易金額,明細:
    • 非接觸商店付款
    • 遠程支付
  • 生物識別的引進和付款利用的預測的明細,各種模式:
    • 指紋
    • 臉部辨識
    • 虹膜掃描
    • 語音生物辨識
  • 互動方案工具
  • 預測資料集 (含57個表格,8,400個以上的數據點) 的存取

‘Mobile Payment Authentication’ research offers the most in-depth assessment to date of the opportunities and challenges for the key fields of mobile payment authentication.

It 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.

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

  • Biometrics
    • Fingerprints
    • Facial Recognition
    • Iris Scanning
    • Voice Biometrics

The research includes:

  • Market Trends & Opportunities (PDF)
  • 5-Year Market Sizing & Forecast Spreadsheet (Excel)

Key Features

  • Sector Dynamics: Analysis of key trends and primary challenges for the payment security space, highlighting the impact of:
    • 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 Research Leaderboard: Provided for 16 key players, including Fujitsu, Gemalto and RSA, with attendant heatmaps based scoring:
    • AimBrain
    • BioCatch
    • Braintree
    • Daon
    • Duo
    • Fujitsu
    • G+D
    • Gemalto
    • HYPR
    • IDEMIA
    • ImageWare
    • iProov
    • Nuance
    • Okta
    • RSA
    • Stripe
  • Interviews: With leading players across the mobile payments and security value chain, including:
    • BioCatch
    • Gemalto
    • HYPR
    • iProov
    • Nuance
    • RSA Security
    • Stripe
  • Benchmark Industry Forecasts: Provided for the size and growth of biometric POS payments and remote payments, including:
    • Biometric devices
    • Biometric users for payment authentication
    • Modalities present
    • Modalities used for payment authentication

Key Questions

  • 1. How is the use of biometrics in mobile payments changing?
  • 2. What forms of biometrics will be dominant in the future of the market?
  • 3. Which markets will have the strongest adoption of mobile security practices, and why?
  • 4. What impact will new regulatory requirements and standards have on payment authentication practices?
  • 5. Who are the leading players in mobile authentication, and what are their strategies?

Companies Referenced

  • Interviewed: BioCatch, Gemalto, HYPR, IDEMIA, iProov, Nuance, RSA, Stripe.
  • Profiled: AimBrain, BioCatch, Daon, Duo, Fujitsu, G+D, Gemalto, HYPR, IDEMIA, ImageWare, iProov, Nuance, Okta, RSA, Stripe.
  • Case Studied: iProov, Suprema.
  • Mentioned: Advent International, Airbnb, AliPay, American Airlines, Amtrak, Apple, Arbor Networks, Avaya, Babb, Banco do Brasil, Barclays, BioSec, BlackBerry,, BPI France, BT, CA Solutions, Cerence, Cerner, Cisco, Cleveland Clinic, Comcast Ventures, Dabbl, Deliveroo, Dell, Delta, Deutsche Telekom, DiData, DocuSign, EMVCo, Entersekt, Epic, Facebook, FIDO Alliance, ForgeRock, Genesys, Github, Google, Grab, HP. Huawei, IBM, IDnow, Index, Indie Hackers, ING Bank, Instagram, Keycloak, Kickstarter, Kofax, Lava, LinkedIn, Lloyds Banking Group, Lyft, Mastercard, Mayo Clinic, mBlox, McKesson, MEF, Microsoft, MoshiMoshi, NHS, NICE, Nice Actimize, Nok Nok Labs, NOW Money, Oberthur Technologies, OpenTable, Oracle, Passiv Systems, Payable, PerSay, Ping Identity, Pocket, Polarify, Rackspace, RunKit, Safenet, Salesforce, Samsung, SAP, Seven-Eleven Japan, Shieldpay, Shopify, Siemens, SMBC (Sumitomo Mitsui Banking Corporation), Softonic, SurveyMonkey, Symantec, Teapot, Telefonica, Telegram, Telstra, Thales Group, The Guardian, Tmall, T-Mobile, TOTEMS, Touchtech, Treatwell, Trezor, Uber, UK Card Association, UK Home Office, Unicef, UPMC, US Department of Homeland Security, Veridos, Verint, Visa, Vocel, Vodafone, VoiceSign, Voleo, vpnMentor, WhatsApp, White Label Alliance, WorldReach Software, Xero, Yahoo, ZOLOZ.

Data & Interactive Forecast

Juniper Research's ‘Mobile Payment Authentication’ forecast suite includes:

  • Market splits for 8 key regions and by 13 key countries:
    • Australia
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • South Korea
    • 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
  • Interactive Scenario tool allowing user the ability to manipulate Juniper Research's data for 15 different metrics.
  • Access to the full set of forecast data of 57 tables and over 8,400 datapoints.

Juniper Research's highly granular IFxls (Interactive Excels) enable clients to manipulate Juniper Research'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.