Biometric In-store Payments Market: 2024-2028

PUBLISHED: January 29, 2024

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Description

KEY STATISTICS
Total transaction value in 2024:	$429.1 billion
Total transaction value in 2028:	$1.2 trillion
2024 to 2028 market growth:	113.6%
Forecast period:	2024-2028

Overview

Our “Biometric In-store Payments ” research suite provides in-depth analysis and evaluation of how the in-store payments ecosystem is adapting to include biometric payment solutions. Focusing on palm vein, fingerprint recognition, facial recognition and iris recognition, which can provide greater ease for merchants and consumers.

SAMPLE VIEW

A comprehensive analysis of the current market landscape, alongside strategic recommendations and a walk-through of the forecasts.

Market Trends & Forecasts

The suite includes both a data deliverable, sizing the market and providing key forecast data across 60 countries and several different segments, and a Strategy & Forecasts document which gives a complete assessment of the key trends, challenges and recommendations for stakeholders. Collectively, they provide a critical tool for understanding this rapidly emerging market; allowing payment companies, biometric card manufacturers and biometric in-store terminal vendors to shape their future business model.

Key Features

Market Dynamics: Insights into key trends and market expansion challenges within the biometric in-store payments market; addressing challenges posed by the technical and costly nature of biometric in-store payments and ongoing consumer fears regarding level of security. It will also analyse the potential benefits it will be able to provide in the challenging in-store retail market.

Key Takeaways & Strategic Recommendations: In-depth analysis of key development opportunities and key findings within the biometric in-store payments market, accompanied by key strategic recommendations for stakeholders.

Benchmark Industry Forecasts: Overview into biometric in-store payments, including forecasts for total number of biometric-enabled POS terminals, transactions and spend via biometric in-store payments, split by mPOS and dedicated POS.

Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 16 biometric in-store payments vendors, featuring market size for major players in the biometric-in store payments industry. Delivered via the Juniper Research Competitor Leaderboard.
- Alipay
- Amazon
- Fingerprints
- G+D
- IDEMIA
- IDEX
- Ingenico
- JPMorgan
- Mastercard
- OVE Touch&Go
- PayByFace
- PayEye
- Pop ID
- Telpo
- Tencent
- Thales

Market Data & Forecasts

The market-leading research suite for the biometric in-store payments market includes access to the full set of forecast data of 21 tables and over 9,570 datapoints. Metrics in the research suite include:

Total Number of Biometric-enabled POS Devices
Total Number of Biometric Transactions
Total Spend over Biometric-enabled POS Systems

These metrics are provided for the following key market verticals:

mPOS
Dedicated POS

Juniper Research Interactive Forecast Excel contains the following functionality:

Statistics Analysis: Users benefit from the ability to search for specific metrics, displayed for all regions and countries across the data period. Graphs are easily modified and can be exported to the clipboard.

Country Data Tool: This tool lets users look at metrics for all regions and countries in the forecast period. Users can refine the metrics displayed via a search bar.

Country Comparison Tool: Users can select countries and compare each of them for specific countries. The ability to export graphs is included in this tool.

What-if Analysis: Here, users can compare forecast metrics against their own assumptions, via five interactive scenarios

1. Key Takeaways & Strategic Recommendations

1.1. Key Takeaways
1.2. Strategic Recommendations

2. Market Landscape

2.1. Introduction
2.2. Definitions and Scope
- 2.2.1. Definitions
  - i. Biometric Verification
    - Figure 2.1: Main Biometric Verification Methods
  - ii. Biometric Authentication
  - iii. Biometric In-store
- 2.2.2. Using Biometric for In-store Payments
  - i. The Biometric In-store Payment Process
  - ii. Reason to Authenticate Payments Using Biometrics
2.3. The Retail Market
- 2.3.1. Evolution of Biometrics in the Retail Market
- 2.3.2. How Biometric In-store Payments are Transforming the Retail Industry
  - i. Heightened Transaction Security
  - ii. Seamless Customer Experience
  - iii. Personalised Shopping Experiences
  - iv. Enhanced Loyalty Programmes with Seamless Enrolment
  - v. Rapid Customer Onboarding
  - vi. Diverse Authentication Options
  - vii. Competitive Edge
  - viii. Customer Service Improvement with Efficient Returns/Exchanges
2.4. Biometric Landscape
- 2.4.1. Biometric Technology Is Already a Big Part of People's Lives
- 2.4.2. Main Applications of Biometrics
  - i. Online Transactions
  - ii. In-store Payments
  - iii. ATM Transactions
  - iv. Remittances
  - v. Cryptocurrency
  - vi. Access Control
  - vii. Financial Inclusion
  - viii. Marketing Systems
- 2.4.3. Limitations of Biometric Systems
  - i. Failure to Enrol
  - ii. False Acceptance and Rejection Rates
  - iii. Spoofing
  - iv. Compromised Biometrics
- 2.4.4. Regulatory Landscape for Biometric Payments
2.5 Key Trends & Drivers
2.6. Privacy
- 2.6.1. Privacy Challenges
  - i. Function Creep
  - ii. Covert Collection
  - iii. Secondary Information
  - iv. Other Challenges
- 2.6.2. Biometric and Privacy Laws
2.7. Other Challenges Related to Biometrics
- 2.7.1. Technical Challenges
- 2.7.2. Legal Concerns
- 2.7.3. High Cost
- 2.7.4. Ethical Issues

3. Payment Form Factors & Segment Analysis

3.1. Biometric Terminals
- 3.1.1. Palm Vein
  - i. Definitions
  - ii. Deployments
    - Figure 3.1: Palm scanning payment model
  - iii. Challenges
  - iv. Future Outlook
- 3.1.2. Fingerprint
  - i. Definitions
    - Figure 3.2: Biometric Terminals' Accuracy and Cost Comparison
  - ii. Deployments
  - iii. Challenges
  - iv. Future Outlook
- 3.1.3. Face
  - i. Definitions
  - ii. Deployments
  - iii. Challenges
  - iv. Future Outlook
- 3.1.4. Iris and Retina
  - i. Definition
  - ii. Deployments
  - iii. Challenges
  - iv. Future Outlook
- 3.1.5. Other Biometric Terminals
  - i. Voice Waveform Recognition
  - ii. Earlobe and Hand Geometry Identification
3.2. Biometric Payment Cards
- 3.2.1. Definition
- 3.2.2. The Functioning of Biometric Cards
- 3.2.3. Current Status
  - Figure 3.3: SCA Authentication
- 3.2.4 Key Deployments
- 3.2.5. Challenges
- 3.2.6. Future Outlook
3.3. Mobile Payment Biometric
- 3.3.1. Current Status
3.3.2 Key Developments
- 3.3.3. Future Outlook
3.4. Supermarkets & Hypermarkets
- i. Current Status
- ii. Key Deployments
3.5. Convenience Stores
- i. Current Status
- ii. Key Deployment
3.6. QSRs (Quick Service Restaurants)
- i. Current Status
- ii. Key Development
3.7. Boutiques

4. Competitor Leaderboard & Vendor Profiles

4.1. Why Read This Report
- Table 4.1: Juniper Research Competitor Leaderboard Vendors: Biometric In-store Payments
- Figure 4.2: Juniper Research Competitor Leaderboard - Biometric In-store Payments
- Table 4.3: Juniper Research Competitor Leaderboard: Biometric In-Store Payments Vendor Ranking
- Table 4.4: Juniper Research Competitor Leaderboard Biometric In-Store Payments - Heatmap
4.2. Biometric In-store Payments Vendor Profiles
- 4.2.1. Alipay/Ant Group
  - 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
- 4.2.2. Amazon
  - i. Corporate
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
    - Figure 4.5: Amazon One, Pay by Palm Technology
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.3. Fingerprints
  - i. Corporate
  - ii. Geographic Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
    - Figure 4.6: Fingerprints' Biometric Card
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.4. G+D
  - i. Corporate
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level Views of Offerings
    - Figure 4.7: G+D Convego YOU Card
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.5. IDEMIA
  - i. Corporate
  - ii. Geographic Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
    - Figure 4.8: IDEMIA's FCODE Intuitive Enrolment
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.6. IDEX
  - i. Corporate
    - Table 4.9: IDEX's Funding Rounds
  - ii. Geographic Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-Level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.7. Ingenico
  - 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
- 4.2.8. J.P Morgan
  - i. Corporate
  - ii. Geographic Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offering
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.9. Mastercard
  - i. Corporate
  - ii. Geographic Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
    - Figure 4.10: Facial Recognition-based 'Pay by Selfie' by Mastercard
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.10. OVE Touch & Go
  - 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
- 4.2.11. PayByFace
  - 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
- 4.2.12. PayEye
  - i. Corporate
    - Table 4.11: PayEye's Funding Rounds (€m), 2020-2022
  - ii. Geographic Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.13. PopID
  - i. Corporate
    - Table 4.12: PopID's Funding Rounds ($m), 2019-2021
  - ii. Geographic Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.14. Telpo
  - i. Corporate
  - ii. Geographic Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
    - Figure 4.13: Telpo's Face Payment Solution
    - Figure 4.14: Telpo's Retail Solution Overview
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.15. Tencent
  - i. Corporate
    - Table 4.15: Tencent's Funding Rounds ($bn), 1999-2020
  - ii. Geographic Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
- 4.2.16. Thales
  - i. Corporate
  - ii. Geographic Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
    - Figure 4.16: Thales IDPrime FIDO Bio Smart Card
    - Figure 4.17: Thales Biometric Card Enrolment
  - v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
4.1. Juniper Research Leaderboard Assessment Methodology
- 4.1.1. Limitations & Interpretations
  - Table 4.18: Juniper Research Leaderboard Assessment Criteria

5. Market Forecasts

5.1. Introduction
- 5.1.1. Biometric In-store mPOS Forecast Methodology
- 5.1.2. Biometric In-store Dedicated POS Forecast Methodology
  - Figure 5.1: Biometric In-store Payments Methodology
5.2. Market Forecast Summary
- 5.2.1. Total Value of Biometric POS Transactions
  - Figure & Table 5.2: Total Value of Biometric POS Transactions ($m), Split by 8 Key Regions, 2023-2028
- 5.2.2. Total Number of Transactions via Biometric-enabled POS Terminals
  - Figure & Table 5.3: Total Number of Transactions via Biometric-enabled POS Terminals (m), Split by 8 Key Regions, 2023-2028
- 5.2.3. Global Number of Biometric-enabled POS Terminals
  - Figure & Table 5.4: Total Number of Biometric-enabled POS Terminals (m), Split by 8 Key Regions, 2023-2028
5.3. mPOS Forecast Summary
- 5.3.1. Number of mPOS Terminals in Use Featuring Biometric Technology
  - Figure & Table 5.5: Total Number of mPOS Terminals in Use Featuring Biometric Technology (m), Split by 8 Key Regions, 2023-2028
- 5.3.2. Total Value of Biometric mPOS Transactions
  - Figure & Table 5.6: Total Value of Biometric mPOS Transactions ($m), Split by 8 Key Regions 2023-2028
5.4. Dedicated POS Forecast Summary
- 5.4.1. Number of Dedicated POS Terminals in Use Featuring Biometric Technology
  - Figure & Table 5.7: Total Number of Dedicated Terminals in Use Featuring Biometric Technology (m), Split by 8 Key Regions, 2023-2028
- 5.4.2. Total Value of Biometric Dedicated POS Transactions
  - Figure & Table 5.8: Total Value of Biometric Dedicated POS Transactions ($m), Split by 8 Key Regions, 2023-2028
5.5. Endnotes