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市场调查报告书
商品编码
1971277

人脸刷卡支付市场 - 全球产业规模、份额、趋势、机会、预测：按类型、应用、地区和竞争格局划分，2021-2031年

Face-Swiping Payment Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented, By Type (Payment Equipment and Payment System), By Application (Retail, Restaurant, Travel, and Others), By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3个工作天内

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简介目录

全球脸部认证支付市场预计将从 2025 年的 58.7 亿美元成长到 2031 年的 135.9 亿美元，复合年增长率达到 15.02%。

这种支付方式利用脸部辨识技术验证使用者身分并核准资金转账，无需实体卡片或行动装置。推动该市场发展的关键因素包括消费者对便利性、非接触式支付体验日益增长的需求，以及在全球健康问题日益严峻的背景下，对卫生支付解决方案的需求不断增加。此外，政府大力推动无现金经济，以及零售环境中高解析度3D摄影机基础设施的快速部署，也以不同于传统数位支付趋势的方式，积极促进了这些系统的普及。

市场概览
预测期 2027-2031
市场规模：2025年 58.7亿美元
市场规模：2031年 135.9亿美元
复合年增长率：2026-2031年 15.02%
成长最快的细分市场 支付系统
最大的市场 北美洲

然而，市场在安全漏洞和复杂的呈现攻击风险方面面临许多挑战。合成身分诈骗的威胁要求制定严格的生物特征检测标准，这使得信任建立至关重要，但也可能成为阻碍技术普及的因素。根据生物辨识研究所2025年的数据，85%的业界受访者认为深度造假技术对未来的生物识别系统构成重大威胁。这项安全挑战迫使供应商在用户便利性和日益复杂的身份验证通讯协定之间寻求平衡，这可能会阻碍技术的快速普及。

市场驱动因素

人工智慧和脸部辨识精度的提升正在从根本上重塑全球脸部认证支付市场，有效应对了关键的效能和安全挑战。生成式人工智慧的整合显着提高了生物特征检测的准确性，使系统能够以前所未有的速度区分真实用户和复杂的伪造攻击。这项技术飞跃不仅最大限度地降低了误拒率，也增强了消费者对生物识别的信任，使其成为传统密码的安全替代方案。例如，万事达卡于2024年12月发布的《2025年支付趋势报告》指出，其决策智慧专业版解决方案利用生成式人工智慧扫描一兆个资料点，从而使诈欺防范率提升高达300%。此外，建立信任对于大规模部署至关重要。根据Ping Identity在2025年10月进行的一项调查，34%的受访者认为「生物识别」是提升线上品牌信任度的关键因素。

智慧零售和自动化支付解决方案的扩展正成为脸部认证生物识别终端，以简化高频交易环境，减少等待时间和营运成本，同时为顾客提供真正的免接触体验。在那些积极推动支付基础设施现代化以支持无现金生态系统的地区，这种转变尤其显着。例如，根据TechBullion 2025年5月发布的关于俄罗斯联邦储蓄银行「Smile-to-Pay」服务的报告，仅在2025年第一季，俄罗斯消费者就完成了超过3750万生物识别支付，这凸显了实体店在日常交易中推广脸部认证的力度。这一趋势迫使竞争对手加快生物识别的整合，以在快速数位化的零售业中保持竞争力。

市场挑战

脸部认证系统容易受到安全漏洞和复杂呈现攻击的影响，是全球脸部认证支付市场扩张的主要障碍。与可互换的密码或实体卡不同，生物识别资料是不可窜改的。这意味着，一旦发生涉及合成身分诈骗的成功入侵，可能会导致永久性的声誉损害和消费者不信任。这种固有风险迫使支付服务提供者在其生物识别系统中实施严格的生物识别检测通讯协定，以区分真实用户和高品质的深度造假。虽然这些严格的检验流程对于安全至关重要，但它们会导致延迟和误报，从而降低使用者体验。因此，它削弱了驱动市场价值提案的「便捷无阻」理念。

因此，如何在确保强大安全性和维持支付速度之间取得平衡，是生物辨识技术大规模应用的主要障碍。消费者和零售商仍然对那些无法在不牺牲效率的前提下保障资料安全的系统持谨慎态度。这种犹豫不决也体现在近期业界对应用障碍的看法。根据生物辨识研究所2025年的调查，约50%的业内专家认为隐私和资料保护问题是生物识别市场成长的最大障碍。这些数据表明，只有当产业能够在保证高安全性的同时实现流畅的性能时，生物辨识技术的广泛应用才能真正实现。

市场趋势

由于需要实现高通量、非接触式收费，以消除实体车票发放的瓶颈，公共运输领域采用生物辨识技术正成为一股重要趋势。交通部门正在将脸部认证整合到检票闸机中，以实现无缝“步行通行”，从而显着减少通勤拥堵，并降低管理实体交通卡的营运成本。这种转变在大都会地区尤其明显，这些地区的生物识别基础设施正在不断扩展，以应对每日庞大的客流量。根据ID Tech（2025年7月发布）报道，莫斯科的生物识别票务系统已处理超过1亿次乘车，并正在推动将该技术推广至整个地铁网路。

同时，金融科技公司与生物识别公司之间的策略整合也在重塑市场格局。成熟的支付巨头正与专注生物识别的新创公司合作，以加速商业性化进程。这种融合促进了身份验证Start-Ups的标准化，并推动了整合支付处理和会员奖励功能的互通终端的部署，从而透过整合的生态系统降低了商家采用生物识别技术的门槛。对于面临高昂营运成本的零售商而言，推动此类合作的经济奖励庞大。正如《生物辨识技术动态》（Biometric Update）在2025年12月通报NEC对PopID的投资时所指出的，该平台的生物识别交易费用约为普通信用卡费用的三分之一，这为生物辨识技术的广泛应用提供了强有力的经济依据。

目录

第一章概述

第二章：调查方法

第三章执行摘要

第四章：客户心声

第五章：全球人脸刷卡支付市场展望

  • 市场规模及预测
    • 按金额
  • 市占率及预测
    • 按类型（支付终端、支付系统）
    • 按应用领域（零售、餐饮、旅游等）
    • 按地区
    • 按公司（2025 年）
  • 市场地图

第六章：北美人脸刷卡支付市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲：国别分析
    • 我们
    • 加拿大
    • 墨西哥

第七章：欧洲人脸刷卡支付市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲：国别分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

第八章：亚太地区人脸刷卡支付市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区：国别分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第九章：中东和非洲人脸刷卡支付市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东与非洲：国别分析
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十章：南美洲人脸刷卡支付市场展望

  • 市场规模及预测
  • 市占率及预测
  • 南美洲：国别分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章 市场动态

  • 促进因素
  • 任务

第十二章 市场趋势与发展

  • 併购
  • 产品发布
  • 近期趋势

第十三章：全球人脸刷卡支付市场：SWOT分析

第十四章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商的议价能力
  • 顾客权力
  • 替代品的威胁

第十五章 竞争格局

  • Mastercard International Incorporated
  • SnapPay Inc.
  • NEC Corporation
  • PopID, Inc
  • FacePay
  • PayByFace SRL
  • VisionLabs Group
  • TelepowerCommunication Co., Ltd.
  • PAX Technology
  • CloudWalk Technology Co., Ltd.

第十六章 策略建议

第十七章：关于研究公司及免责声明

简介目录
Product Code: 25285

The Global Face-Swiping Payment Market is projected to expand from USD 5.87 Billion in 2025 to USD 13.59 Billion by 2031, achieving a CAGR of 15.02%. This payment method utilizes facial recognition technology to authenticate users and authorize fund transfers, effectively eliminating the need for physical cards or mobile devices. Key drivers propelling this market include rising consumer demand for seamless, contactless checkout experiences and the heightened necessity for hygienic payment solutions following global health concerns. Additionally, robust government initiatives encouraging cashless economies and the rapid deployment of high-resolution 3D camera infrastructure in retail environments are actively supporting the widespread implementation of these systems, distinct from broader digital payment trends.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 5.87 Billion
Market Size 2031USD 13.59 Billion
CAGR 2026-203115.02%
Fastest Growing SegmentPayment System
Largest MarketNorth America

However, the market faces significant impediments regarding security vulnerabilities and the risk of sophisticated presentation attacks. Establishing trust is critical, as the threat of synthetic identity fraud necessitates rigorous liveness detection standards that can slow deployment. Data from the Biometrics Institute in 2025 indicates that 85% of industry respondents identified deepfake technology as a major threat to the future of biometric recognition systems. This security challenge forces vendors to balance user convenience with increasingly complex verification protocols, which may potentially hinder rapid mass adoption.

Market Driver

Advancements in AI and facial recognition accuracy are fundamentally reshaping the global face-swiping payment market by addressing critical performance and security challenges. The integration of generative AI has significantly enhanced the precision of liveness detection, allowing systems to distinguish between real users and sophisticated presentation attacks with unprecedented speed. This technological leap not only minimizes false rejection rates but also bolsters consumer confidence in biometric authentication as a secure alternative to traditional passwords. For instance, Mastercard's December 2024 report on payment trends for 2025 highlights that their Decision Intelligence Pro solution utilizes generative AI to scan one trillion data points, boosting fraud protection rates by as much as 300% in some instances. Furthermore, establishing trust is paramount for mass adoption; a Ping Identity survey from October 2025 reveals that 34% of respondents identified biometric authentication as the primary feature that would increase their trust in online brands.

The expansion of smart retail and automated checkout solutions serves as the primary adoption vector for face-swiping payments, moving the technology from niche pilots to mainstream commercial use. Retailers are increasingly deploying biometric terminals to streamline high-volume transaction environments, reducing wait times and operational costs while offering customers a truly hands-free experience. This shift is particularly evident in regions aggressively modernizing their payment infrastructure to support cashless ecosystems. For example, according to TechBullion in May 2025 regarding Sberbank's Smile-to-Pay service, Russian consumers completed over 37.5 million biometric payments in Q1 2025 alone, highlighting the scale at which physical retail locations are driving the usage of facial recognition for everyday transactions. This trend forces competitors to accelerate their own biometric integrations to maintain relevance in a rapidly digitizing retail landscape.

Market Challenge

The susceptibility of facial recognition systems to security vulnerabilities and sophisticated presentation attacks stands as a critical impediment inhibiting the expansion of the Global Face-Swiping Payment Market. Unlike replaceable passwords or physical cards, biometric data is immutable, meaning that a successful breach involving synthetic identity fraud can cause permanent reputational damage and consumer distrust. This inherent risk forces payment providers to implement rigorous liveness detection protocols to distinguish between real users and high-quality deepfakes. While necessary for security, these intensive verification processes often introduce latency and error rates that degrade the user experience, effectively negating the friction-free convenience that drives the market's value proposition.

Consequently, the trade-off between ensuring robust security and maintaining checkout speed creates a significant barrier to mass adoption. Consumers and retailers alike remain wary of systems that cannot guarantee data protection without compromising efficiency. This hesitation is reflected in recent industry sentiments regarding the obstacles to deployment. According to the Biometrics Institute in 2025, nearly 50% of industry professionals identified privacy and data protection concerns as the most significant barrier restricting the growth of the biometrics market. This data underscores that until the industry can reconcile high-level security with seamless performance, widespread acceptance will remain stalled.

Market Trends

Deployment in Public Transportation and Transit Systems is emerging as a pivotal trend, driven by the need for high-throughput, contactless fare collection that eliminates the bottlenecks of physical ticketing. Transit authorities are increasingly integrating facial recognition into turnstiles to facilitate seamless "walk-through" entry, significantly reducing commuter congestion and the operational overhead associated with managing physical travel cards. This shift is exemplified by major urban centers scaling their biometric infrastructure to support massive daily passenger volumes. According to ID Tech in July 2025, Moscow's biometric fare system has already processed over 100 million cumulative rides, propelling plans to expand the technology across the entire subway network.

Strategic Consolidation Between Fintech and Biometric Firms is concurrently reshaping the market landscape as established payment giants partner with specialized biometric startups to accelerate commercial viability. This convergence allows for the standardization of identity frameworks and the deployment of interoperable terminals that merge payment processing with loyalty rewards, thereby lowering adoption barriers for merchants through integrated ecosystems. The financial incentives driving these partnerships are substantial for retailers facing high overheads. According to Biometric Update in December 2025 regarding NEC's stake in PopID, the platform's biometric transaction fees are approximately one-third of typical credit card charges, providing a compelling economic rationale for widespread implementation.

Key Market Players

  • Mastercard International Incorporated
  • SnapPay Inc.
  • NEC Corporation
  • PopID, Inc
  • FacePay
  • PayByFace SRL
  • VisionLabs Group
  • TelepowerCommunication Co., Ltd.
  • PAX Technology
  • CloudWalk Technology Co., Ltd.

Report Scope

In this report, the Global Face-Swiping Payment Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Face-Swiping Payment Market, By Type

  • Payment Equipment
  • Payment System

Face-Swiping Payment Market, By Application

  • Retail
  • Restaurant
  • Travel
  • Others

Face-Swiping Payment Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Face-Swiping Payment Market.

Available Customizations:

Global Face-Swiping Payment Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Face-Swiping Payment Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Type (Payment Equipment, Payment System)
    • 5.2.2. By Application (Retail, Restaurant, Travel, Others)
    • 5.2.3. By Region
    • 5.2.4. By Company (2025)
  • 5.3. Market Map

6. North America Face-Swiping Payment Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type
    • 6.2.2. By Application
    • 6.2.3. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Face-Swiping Payment Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Type
        • 6.3.1.2.2. By Application
    • 6.3.2. Canada Face-Swiping Payment Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Type
        • 6.3.2.2.2. By Application
    • 6.3.3. Mexico Face-Swiping Payment Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Type
        • 6.3.3.2.2. By Application

7. Europe Face-Swiping Payment Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type
    • 7.2.2. By Application
    • 7.2.3. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Face-Swiping Payment Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Type
        • 7.3.1.2.2. By Application
    • 7.3.2. France Face-Swiping Payment Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Type
        • 7.3.2.2.2. By Application
    • 7.3.3. United Kingdom Face-Swiping Payment Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Type
        • 7.3.3.2.2. By Application
    • 7.3.4. Italy Face-Swiping Payment Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Type
        • 7.3.4.2.2. By Application
    • 7.3.5. Spain Face-Swiping Payment Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Type
        • 7.3.5.2.2. By Application

8. Asia Pacific Face-Swiping Payment Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type
    • 8.2.2. By Application
    • 8.2.3. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Face-Swiping Payment Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Type
        • 8.3.1.2.2. By Application
    • 8.3.2. India Face-Swiping Payment Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Type
        • 8.3.2.2.2. By Application
    • 8.3.3. Japan Face-Swiping Payment Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Type
        • 8.3.3.2.2. By Application
    • 8.3.4. South Korea Face-Swiping Payment Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Type
        • 8.3.4.2.2. By Application
    • 8.3.5. Australia Face-Swiping Payment Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Type
        • 8.3.5.2.2. By Application

9. Middle East & Africa Face-Swiping Payment Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type
    • 9.2.2. By Application
    • 9.2.3. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Face-Swiping Payment Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Type
        • 9.3.1.2.2. By Application
    • 9.3.2. UAE Face-Swiping Payment Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Type
        • 9.3.2.2.2. By Application
    • 9.3.3. South Africa Face-Swiping Payment Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Type
        • 9.3.3.2.2. By Application

10. South America Face-Swiping Payment Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Type
    • 10.2.2. By Application
    • 10.2.3. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Face-Swiping Payment Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Type
        • 10.3.1.2.2. By Application
    • 10.3.2. Colombia Face-Swiping Payment Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Type
        • 10.3.2.2.2. By Application
    • 10.3.3. Argentina Face-Swiping Payment Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Type
        • 10.3.3.2.2. By Application

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Face-Swiping Payment Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Mastercard International Incorporated
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. SnapPay Inc.
  • 15.3. NEC Corporation
  • 15.4. PopID, Inc
  • 15.5. FacePay
  • 15.6. PayByFace SRL
  • 15.7. VisionLabs Group
  • 15.8. TelepowerCommunication Co., Ltd.
  • 15.9. PAX Technology
  • 15.10. CloudWalk Technology Co., Ltd.

16. Strategic Recommendations

17. About Us & Disclaimer