手機付款生物識別 - 主要機會、地區分析、市場預測:2022年~2027年
市場調查報告書
商品編碼
1081279

手機付款生物識別 - 主要機會、地區分析、市場預測:2022年~2027年

Mobile Payment Biometrics: Key Opportunities, Regional Analysis & Market Forecasts 2022-2027

出版日期: | 出版商: Juniper Research Ltd | 英文 | 商品交期: 最快1-2個工作天內

價格
簡介目錄

本報告提供新興地區、先進地區的手機付款領域的生物識別的採用與使用相關驗證,PIN編碼和密碼等傳統的保全形態轉變到生物識別的相關評價。

生物識別技術概要:

  • 指紋辨識
  • 臉部辨識
  • 虹膜辨識
  • 語音辨識
  • 行動的生物識別

報告結構:

  • 策略、預測(PDF)
  • 5年的市場規模、預測試算表(Excel)
  • 線上資料平台的利用 (12個月)

目錄

第1章 要點、建議

第2章 市場形勢

  • 簡介
  • 定義、範圍
  • 生物識別概要
  • 法規、規格、COVID-19要素的影響
  • 認證課題

第3章 地區分析

  • 簡介
    • 手機付款生物識別 - 地區的熱圖分析
    • 地區的熱圖 - 結論
  • 北美
    • 美國
    • 加拿大
  • 西歐
    • 德國
    • 英國
  • 中歐、東歐
    • 克羅埃西亞
    • 捷克
  • 南美
    • 巴西
    • 墨西哥
  • 印度半島
    • 印度
    • 巴基斯坦
  • 遠東、中國
    • 中國
    • 日本
  • 其他的亞太地區
    • 澳洲
    • 印尼
    • 紐西蘭
  • 非洲、中東
    • 南非
    • 阿拉伯聯合大公國

第4章 Juniper Research的競爭企業排行榜

  • 讀報告的理由
  • 業者簡介
    • Aware
    • Daon
    • Entrust
    • FacePhi
    • Fujitsu
    • G+D
    • HYPR
    • IDEMIA
    • Imageware
    • iProov
    • Jumio
    • OneSpan
    • RSA
    • Thales
  • Juniper Research的排行榜評估手法

第5章 市場預測

  • 簡介
  • 調查手法、前提條件
  • 手機付款生物識別預測
    • 手機付款生物識別的總數量
    • 手機付款生物識別的總額
簡介目錄

Juniper Research's “Mobile Payment Biometrics” report provides detailed analysis of the evolution of this dynamic market. The report considers the adoption and use of biometrics in the mobile payments space within both emerging and developed regions. In addition, the research evaluates the transition from traditional forms of security, such as PIN codes and passwords, to biometric authentication.

The report provides an overview of different biometric technologies, including:

  • Fingerprint Recognition
  • Facial Recognition
  • Iris Recognition
  • Voice Recognition
  • Behavioural Biometrics

It further covers current market opportunities, key recommendations, future prospects and the role of 15 leading vendors across the mobile payment biometrics market. The research also presents detailed market forecasts; delivering insights into and segmenting biometrically authenticated mobile payments by payment type, including a split for transaction value and volume, by the following categories:

  • Contactless Payments
  • Remote Payments

This research suite comprises:

  • Strategy and Forecasts (PDF)
  • 5-year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 months' access to harvest Online Data Platform

KEY FEATURES

  • Market Dynamics: Provides extensive insight into the market landscape, ; analysing the trends in the mobile payment biometrics market, in addition to identifying the potential challenges and strategic recommendations for future market developments.
  • Regional Analysis: Introduction to the status of the mobile payment biometrics market, regulatory challenges, and future market prospects across our 8 key regions, in addition to a country-level market outlook for 17 countries, including:
    • Australia
    • Brazil
    • Canada
    • China
    • Croatia
    • Czech Republic
    • Germany
    • India
    • Indonesia
    • Japan
    • Mexico
    • New Zealand
    • Pakistan
    • South Africa
    • UK
    • United Arab Emirates
    • US
  • Juniper Research Competitor Leaderboard: Key player capabilities and capacity assessment for 15 mobile payment biometric vendors:
    • Aware
    • BioCatch
    • Daon
    • Entrust
    • FacePhi
    • Fujitsu
    • G+D with Netcetera Portfolio
    • HYPR
    • IDEMIA
    • Imageware
    • iProov
    • Jumio
    • OneSpan
    • RSA
    • Thales
  • Industry Forecasts: Forecasts for mobile payment biometrics, including the total volume and total value of biometrically-authenticated mobile payments, split by contactless and remote payments. The forecast runs to 2027 and is also split by our key regions and the 60 countries listed below:
    • Algeria
    • Argentina
    • Australia
    • Austria
    • Bangladesh
    • Belgium
    • Brazil
    • Canada
    • Chile
    • China
    • Colombia
    • Croatia
    • Czech Republic
    • Denmark
    • Ecuador
    • Egypt
    • Finland
    • France
    • Germany
    • Greece
    • Hong Kong
    • Hungary
    • India
    • Indonesia
    • Ireland
    • Israel
    • Italy
    • Japan
    • Kenya
    • Kuwait
    • Malaysia
    • Mexico
    • Nepal
    • Netherlands
    • New Zealand
    • Nigeria
    • Norway
    • Pakistan
    • Peru
    • Philippines
    • Poland
    • Portugal
    • Qatar
    • Romania
    • Russia
    • Saudi Arabia
    • Singapore
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • Switzerland
    • Thailand
    • Turkey
    • UK
    • Ukraine
    • United Arab Emirates
    • Uruguay
    • US
    • Vietnam

KEY QUESTIONS ANSWERED

  • 1. How is the use of biometrics in mobile payments changing?
  • 2. How will key market trends affect the projected total value of biometrically- authenticated mobile payment transactions by 2027?
  • 3. What recent developments have resulted in an increase in the uptake of mobile payment biometrics?
  • 4. Which markets will have the strongest adoption of mobile payment biometrics, and why?
  • 5. Who are the leading vendors in the mobile payment biometrics market?

COMPANIES REFERENCED

  • Interviewed: iProov, OneSpan, Thales.
  • Included in the Juniper Research Competitor Leaderboard: Aware, BioCatch, Daon, Entrust, FacePhi, Fujitsu, G+D, HYPR, IDEMIA, Imageware, iProov, Jumio, OneSpan, RSA, Thales.
  • Mentioned: 4Stop, Accuant, Advent International, Aegon Bank, Aer Lingus, AimBrain, Airbnb, Alipay, Alkami Technology Inc, Alutel Mobility , American Express, ANZ Bank , Apple, Banco del Estado, Banco Industrial, Banco Pacífico, Barclays, BAXE, Beam Solutions, BehavioSec, betfair, BlackBerry, British Airways, CEA, Centana Growth Partners, Cisco, Citi, Comcast Ventures, Cornèrcard, DKB (Deutsche Kreditbank) AG, EasyJet, EBA (European Banking Authority), ECB (European Central Bank), Europay, Eurostar, Experian, Feedzai, FIDO, Fiserv, ForgeRock, Fortress Identity, Google, Great Hill Partners, GSMA, Haventec, HPE, HSBC, Huawei, HYATT, InstaID, Keycloak, Knab Bank, Mastercard, Maxar Technologies, Microsoft, Mitek, Monzo, NADRA (National Database and Registration Authority), Nationwide Building Society, NEC, Netcetera, NEXT, NHS, Nippon Life, Nok Nok Labs, NTT Data, NXP, Oberthur Technologies, Okta, Oracle, Oxbury Bank, PayPay, Paytm, PhonePe, Ping Identity, PNC, Polarify, Polycom, PostFinance, Prosa, PwC, Rakuten, Redrock Biometrics, RunMyProcess, Samsung, Santander, SAP, SBB (Swiss Federal Railways), Secure Identity Alliance, SMBC, SoftSpace, Sumitomo Mitsui Financial Group, Swiss Medical, Symantec SiteMinder, Symphony Technology Group, TATA, Trustdock, TrustPro, TymeBank, UAE Central Bank , UIDAI (Unique Identification Authority of India), US Department of Homeland Security, Veridium, Visa, Vocel, WeChat, WeWork, White Label Alliance, World Bank, WorldReach, Yubico, Zagrebačka banka, Zippin.

DATA & INTERACTIVE FORECAST

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

  • Forecast splits for 8 key regions, as well as 60 country-level data splits for:
    • Algeria
    • Argentina
    • Australia
    • Austria
    • Bangladesh
    • Belgium
    • Brazil
    • Canada
    • Chile
    • China
    • Colombia
    • Croatia
    • Czech Republic
    • Denmark
    • Ecuador
    • Egypt
    • Finland
    • France
    • Germany
    • Greece
    • Hong Kong
    • Hungary
    • India
    • Indonesia
    • Ireland
    • Israel
    • Italy
    • Japan
    • Kenya
    • Kuwait
    • Malaysia
    • Mexico
    • Nepal
    • Netherlands
    • New Zealand
    • Nigeria
    • Norway
    • Pakistan
    • Peru
    • Philippines
    • Poland
    • Portugal
    • Qatar
    • Romania
    • Russia
    • Saudi Arabia
    • Singapore
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • Switzerland
    • Thailand
    • Turkey
    • UK
    • Ukraine
    • United Arab Emirates
    • Uruguay
    • US
    • Vietnam
  • Forecasts for biometrically- authenticated mobile payments, including the total volume and total value of transactions, split by contactless payments and remote payments.
  • Interactive scenario tool allowing users to manipulate Juniper Research's data for four different metrics.
  • Access to the full set of forecast data of 64 tables and more than 28,300 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 clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. Key Takeaways & Strategic Recommendations

  • 1.1. Key Takeaways
  • 1.2. Strategic Recommendations

2. Market Landscape

  • 2.1. Introduction
  • 2.2. Definition & Scope
  • 2.3. Biometric Overview
    • Figure 2.1: The Five Primary Biometric Modalities
    • 2.3.1. Facial Recognition
    • 2.3.2. Fingerprint Recognition
    • 2.3.3. Iris Recognition
    • 2.3.4. Voice Recognition
    • 2.3.5. Behavioural Biometrics
      • Figure 2.2: Forms of Device-based Behavioural Biometrics
    • 2.3.6. The Rise of Facial and the Downfall of Fingerprints
    • 2.3.7. Future Outlook
  • 2.4. Impact of Regulation, Standards, and the COVID-19 Factor
    • 2.4.1. Impact of COVID-19 on the Way We Pay
    • 2.4.2. The Impact of COVID-19 on Biometrics
    • 2.4.3. PSD2
    • 2.4.4. 3D Secure
      • i. Version 2.2
      • ii. Version 2.3
    • 2.4.5. FIDO2 & WebAuthn
  • 2.5. Authentication Challenges
    • 2.5.1. Convenience vs Security
    • 2.5.2. Biometrics and Consumer Trust
    • 2.5.3. A Passwordless Future

3. Regional Analysis

  • 3.1. Introduction
    • 3.1.1. Mobile Payment Biometrics - Regional Heatmap Analysis
      • Table 3.1: Mobile Payment Biometrics - Regional Heatmap and Key
      • Table 3.2: Mobile Payment Biometrics - Regional Heatmap Assessment Criteria
    • 3.1.2. Regional Heatmap - Conclusions
      • i. Level of Adoption
      • ii. Potential for Future Adoption
      • iii. Merchant Adoption
      • iv. Level of Competition
      • v. Regulatory Barriers
      • vi. Conclusion
  • 3.2. North America
    • 3.2.1. US
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
    • 3.2.2. Canada
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
  • 3.3. West Europe
    • 3.3.1. Germany
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
    • 3.3.2. UK
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
  • 3.4. Central & East Europe
    • 3.4.1. Croatia
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
    • 3.4.2. Czech Republic
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
  • 3.5. Latin America
    • 3.5.1. Brazil
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
    • 3.5.2. Mexico
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
  • 3.6. Indian Subcontinent
    • 3.6.1. India
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
    • 3.6.2. Pakistan
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
  • 3.7. Far East & China
    • 3.7.1. China
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
    • 3.7.2. Japan
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
  • 3.8. Rest of Asia Pacific
    • 3.8.1. Australia
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
    • 3.8.2. Indonesia
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
    • 3.8.3. New Zealand
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
  • 3.9. Africa & Middle East
    • 3.9.1. South Africa
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook
    • 3.9.2. United Arab Emirates
      • i. Current Deployment Level
      • ii. Regulatory Considerations
      • iii. Future Outlook

4. Juniper Research Competitor Leaderboard

  • 4.1. Why Read This Report
    • Table 4.1: Juniper Research Leaderboard: Mobile Payment Biometrics Vendors Included & Product Portfolio
    • Table 4.2: Juniper Research Leaderboard Assessment Criteria
    • Figure 4.3: Juniper Research Leaderboard for Mobile Payment Biometrics Vendors
    • Table 4.4: Juniper Research Leaderboard Vendors & Positioning
    • Table 4.5: Juniper Research Competitor Leader Heatmap
  • 4.2. Vendor Profiles
    • 4.2.1. Aware
      • i. Corporate
        • Table 4.6: Aware's Financial Snapshot ($m), FY 2020-2021
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.2. BioCatch
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.7: Five Mule Personas
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.3. Daon
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.8: Typical Daon Component Architecture Showing Multi-channel Support
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.4. Entrust
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
        • Figure 4.9: Entrust nFinity HSM Technology Program
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.5. FacePhi
      • i. Corporate
        • Table 4.10: FacePhi's Financial Snapshot ($m), FY 2019-2020
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
        • Figure 4.11: FacePhi Customer Snapshot
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.6. Fujitsu
      • i. Corporate
        • Table 4.12: Fujitsu's Financial Snapshot ($m), FY 2019-2020
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.7. G+D
      • i. Corporate
        • Table 4.13: G+D's Financial Snapshot, ($m), FY 2020-2021
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.8. HYPR
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.14: HYPR Passwordless Flow
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.9. 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
    • 4.2.10. Imageware
      • i. Corporate
        • Table 4.15: Imageware's Financial Performance ($m), FY 2019-2020
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.11. iProov
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.12. Jumio
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development
    • 4.2.13. OneSpan
      • i. Corporate
        • Table 4.16: OneSpan's Financial Snapshot ($m), FY 2020-2021
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.14. RSA
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
        • Figure 4.17: RSA Featured Partners
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.15. Thales
      • i. Corporate
        • Table 4.18: Thales' Financial Snapshot ($m), FY 2020-2021
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.19: Thales Gemalto IdCloud
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
  • 4.3. Juniper Research Leaderboard Assessment Methodology
    • 4.3.1. Limitations & Interpretations

5. Market Forecasts

  • 5.1. Introduction
  • 5.2. Methodology & Assumptions
    • Figure 5.1: Market Forecast Methodology
  • 5.3. Mobile Payment Biometrics Forecasts
    • 5.3.1. Total Volume of Biometrically Authenticated Mobile Payments
      • Figure & Table 5.2: Total Volume of Biometrically Authenticated Mobile Payments ($m), Split by 8 Key Regions, 2022-2027
    • 5.3.2. Total Value of Biometrically Authenticated Mobile Payments
      • Figure & Table 5.3: Total Value of Biometrically Authenticated Mobile Payments ($m), Split by 8 Key Regions, 2022-2027
      • Table 5.4: Total Value of Biometrically Authenticated Mobile Payments ($m), Split by Payment Type, 2022-2027