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市场调查报告书
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1736845

全球脸部辨识市场规模（按技术、应用、最终用户、地区和预测）

Global Facial Recognition Market Size By Technology, By Application, By End-User, By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

价格
简介目录

脸部辨识市场规模及预测

2024 年脸部辨识市场规模为 61.5 亿美元，预计到 2032 年将达到 146.2 亿美元，2026 年至 2032 年的复合年增长率为 12.62%。

脸部认证是一种生物识别技术，它利用人工智慧即时分析和比较脸部特征来识别和验证个人身份。

它已广泛应用于各行各业，提供高安全性、个人化体验并提升业务效率。全球脸部辨识市场的企业提供各种解决方案，包括摄影机、软体和应用程序，以满足不同行业的客製化需求。

在安防监控领域，脸部辨识可以监控高风险区域、侦测犯罪活动，并控制安全区域的出入。它是机场、零售商店和金融机构的关键工具，能够提升安全性和效率。

此外，该技术还应用于智慧广告和行销，帮助瞄准特定受众并个人化用户体验，尤其是在社群媒体和电子商务平台上。

医疗保健是脸部认证日益普及的另一个领域，有助于识别患者并确保安全存取医疗数据。

脸部辨识市场动态

影响全球脸部辨识市场的关键市场动态是：

关键市场驱动因素

安全和监控应用的不断增长：各行各业对强化安全措施的需求日益增长，推动了脸部辨识技术的普及。根据美国政府课责局 (GAO) 的调查，在接受调查的 24 个联邦机构中，有 20 个报告称，2021 年他们已将脸部辨识技术用于数位存取或网路安全目的。报告称，其中 14 个机构计划在 2024 年扩大脸部认证的使用范围。

融入智慧型装置和消费用途：智慧型手机和其他具备脸部辨识功能的智慧型装置的广泛普及，正在显着扩大市场规模。根据美国商务部国家通讯和资讯管理局 (NTIA) 的报告，截至 2019 年，约有 13% 的美国智慧型手机用户已经使用脸部认证解锁设备，这表明该技术在日常生活中的接受度正在不断提高。

人工智慧和机器学习的进步：人工智慧和机器学习演算法的不断改进正在提高脸部辨识系统的准确性和功能。美国国家标准与技术研究院 (NIST) 于 2020 年发布的一项研究表明，最佳脸部辨识演算法在一对一匹配场景中的错误率低至 0.08%，与 2014 年的演算法相比，准确率提高了 20 倍。

主要挑战

隐私担忧和监管挑战：公众对隐私问题的日益关注以及严格的资料保护条例限制了脸部辨识技术的广泛应用。根据皮尤研究中心2019年的一项调查，约56%的美国人相信执法机构会负责任地使用脸部辨识，但只有36%的人信任科技公司。这显示大众对这项技术的使用持高度怀疑态度。

识别演算法的准确性问题和偏见：对脸部辨识系统准确性的担忧，尤其是人口统计学偏见，正在抑制市场成长。美国标准与技术研究院 (NIST) 2019 年的一项研究发现，脸部辨识系统对有色人种的错误辨识率是白人的 10 到 100 倍。具体而言，据报道，西非、东非和东亚人脸的错误辨识率是东欧人脸的错误辨识率的 10 到 100 倍。

部署成本高昂：由于需要先进的硬体和软体，以及持续的维护和升级，脸部辨识系统的成本对某些组织而言过高。美国政府课责局 (GAO) 2021 年的一份报告显示，美国海关和边防安全局 (CBP) 在 2016 年至 2021 年期间在其人脸部辨识计画上花费了约 3.4 亿美元。这笔巨额投资凸显了部署大规模人脸部辨识系统的庞大成本。

主要趋势

与物联网 (IoT) 和智慧城市计画的整合：脸部认证正越来越多地被纳入物联网设备和智慧城市基础设施，以增强安全性并提供个人化服务。根据美国运输部的报告，截至 2021 年，美国已有 100 多个城市实施或正在规划智慧城市计划。其中许多计划都包含用于公共和城市管理的脸部辨识组件。

非接触式付款系统的采用：新冠疫情加速了非接触式技术的采用，包括脸部认证付款。根据美国零售联合会和Forrester在2020年的一项调查，67%的零售商接受某种形式的非接触式付款。虽然并非所有这些支付方式都基于脸部辨识，但非接触式解决方案的趋势正在推动该领域的创新。

医疗保健患者识别和监测应用：脸部辨识正在医疗保健领域找到新的应用，尤其是在患者识别和情绪分析方面。 2022年发表在《美国医学资讯学会杂誌》上的一项研究报告称，脸部辨识系统在421,000张影像的资料集中实现了99.5%的患者识别准确率，这表明该技术有潜力改善医疗服务并减少医疗错误。

目录

第一章 引言

  • 市场概览
  • 研究范围
  • 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

  • 资料探勘
  • 验证
  • 第一手资料
  • 资料来源列表

第四章 市场概述

  • 概述
  • 市场动态
    • 驱动程式
    • 限制因素
    • 机会
  • 波特五力模型

第五章人脸脸部认证市场（依技术）

  • 概述
  • 2D脸部辨识
  • 3D脸部辨识
  • 脸部分析

第六章人脸脸部辨识市场（按应用）

  • 概述
  • 安全功能
  • 考勤管理
  • 出入口管理
  • 监控

第七章脸部认证市场（按最终用户）

  • 概述
  • 政府
  • 卫生保健
  • 电子商务
  • 银行
  • 车
  • 资讯科技和电讯

第八章脸部认证市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区
    • 拉丁美洲
    • 中东和非洲

第九章 竞争态势

  • 概述
  • 各公司市场排名
  • 主要发展策略

第十章 公司简介

  • Megvii
  • SenseTime
  • Amazon
  • Alibaba
  • Microsoft
  • IBM
  • Google
  • NEC Corporation
  • Hikvision
  • Dahua Technology

第十一章 重大进展

  • 产品发布/开发
  • 合併与收购
  • 业务扩展
  • 伙伴关係与合作

第十二章 附录

  • 相关调查
简介目录
Product Code: 41653

Facial Recognition Market Size And Forecast

Facial Recognition Market size was valued at USD 6.15 Billion in 2024 and is projected to reach USD 14.62 Billion by 2032, growing at a CAGR of 12.62% from 2026 to 2032.

Facial recognition is a biometric technology that analyzes and compares facial features in real-time using artificial intelligence to identify and authenticate individuals.

It has become widely used across various sectors, offering advanced security, personalized experiences, and enhanced operational efficiency. Companies in the global facial recognition market provide various solutions, including cameras, software, and applications tailored to diverse industries.

In security and surveillance, facial recognition monitors high-risk areas, detects criminal activities, and controls access to secure locations. It is a key tool in airports, retail establishments, and financial institutions, improving both safety and efficiency.

Additionally, the technology has found applications in smart advertising and marketing, where it helps target specific audiences and personalize user experiences, particularly on social media and e-commerce platforms.

Healthcare is another area where facial recognition is gaining traction. It aids in patient identification and ensures secure access to medical data.

Global Facial Recognition Market Dynamics

The key market dynamics that are shaping the global facial recognition market include:

Key Market Drivers

Increasing Adoption of Security and Surveillance: The growing need for enhanced security measures across various sectors is driving the adoption of facial recognition technology. According to the U.S. Government Accountability Office (GAO), 20 out of 24 surveyed federal agencies reported using facial recognition technology for digital access or cybersecurity purposes in 2021. The same report indicates that 14 of these agencies plan to expand their use of facial recognition by 2024.

Integration in Smart Devices and Consumer Applications: The proliferation of smartphones and other smart devices with facial recognition capabilities is significantly expanding the market. A report by the U.S. Department of Commerce's National Telecommunications and Information Administration (NTIA) found that as of 2019, approximately 13% of smartphone users in the United States were already using facial recognition to unlock their devices, indicating a growing acceptance of this technology in everyday life.

Advancements in AI and Machine Learning: Continuous improvements in artificial intelligence and machine learning algorithms are enhancing the accuracy and capabilities of facial recognition systems. A study published by the National Institute of Standards and Technology (NIST) in 2020 revealed that the best facial recognition algorithms have error rates as low as 0.08% for one-to-one matching scenarios, showing a 20-fold improvement in accuracy compared to algorithms from 2014.

Key Challenges

Privacy Concerns and Regulatory Challenges: Increasing public awareness about privacy issues and stringent data protection regulations are limiting the widespread adoption of facial recognition technology. According to a 2019 survey by the Pew Research Center, about 56% of Americans trust law enforcement agencies to use facial recognition responsibly, while only 36% trust technology companies. This indicates significant public skepticism towards the technology's use.

Accuracy Issues and Bias in Recognition Algorithms: Concerns about the accuracy of facial recognition systems, particularly regarding demographic biases, are restraining market growth. A study by the National Institute of Standards and Technology (NIST) in 2019 found that facial recognition systems can be 10 to 100 times more likely to misidentify people of color compared to white individuals. Specifically, the study reported false positive rates for West and East African and East Asian faces were 10 to 100 times higher than those for Eastern European faces.

High Implementation Costs: The need for sophisticated hardware and software, as well as ongoing maintenance and upgrades, make facial recognition systems prohibitively expensive for some organizations. A report by the U.S. Government Accountability Office (GAO) in 2021 revealed that the U.S. Customs and Border Protection (CBP) spent approximately USD 340 Million on its facial recognition program between 2016 and 2021. This substantial investment highlights the significant costs associated with implementing large-scale facial recognition systems.

Key Trends

Integration with the Internet of Things (IoT) and Smart City Initiatives: Facial recognition is increasingly being incorporated into IoT devices and smart city infrastructure for enhanced security and personalized services. According to a report by the U.S. Department of Transportation, as of 2021, over 100 cities in the United States were implementing or planning smart city projects. Many of these projects include facial recognition components for public safety and urban management.

Adoption of Contactless Payment Systems: The COVID-19 pandemic has accelerated the adoption of contactless technologies, including facial recognition for payments. A survey by the National Retail Federation and Forrester in 2020 found that 67% of retailers accept some form of contactless payment. While not all of these are facial recognition-based, the trend toward contactless solutions is driving innovation in this area.

Application in Healthcare for Patient Identification and Monitoring: Facial recognition is finding new applications in healthcare, particularly for patient identification and emotion analysis. A study published in the Journal of the American Medical Informatics Association in 2022 reported that facial recognition systems achieved an accuracy rate of 99.5% in patient identification across a dataset of 421,000 images, indicating the technology's potential for improving healthcare delivery and reducing medical errors.

Global Facial Recognition Market Regional Analysis

Here is a more detailed regional analysis of the global facial recognition market:

North America

North America substantially dominates the global facial recognition market owing to government initiatives and adoption in law enforcement.

The widespread implementation of facial recognition technology by various government agencies and law enforcement bodies is driving market growth in North America.

According to a 2019 report by the U.S. Government Accountability Office (GAO), 18 out of 24 surveyed federal agencies reported using facial recognition technology for law enforcement purposes. The FBI's facial recognition database, as of 2019, contained over 641 million images, demonstrating the scale of adoption in this sector.

The retail and commercial sectors in North America are rapidly adopting facial recognition for personalized marketing, customer analytics, and security purposes.

A 2020 survey by Retail Dive found that 59% of U.S. retailers were either using or planning to implement facial recognition technology in their stores. This adoption is driven by the potential for improved customer experiences and loss prevention.

The use of facial recognition in border control and immigration processes is expanding rapidly in North America, particularly in the United States.

S. Customs and Border Protection (CBP) reported that as of 2022, its facial recognition technology had been used to process more than 117 million travelers at air, land, and sea ports of entry. The agency also noted that this technology had helped identify over 1,600 impostors at airports of entry since 2018, highlighting its effectiveness in enhancing border security.

Asia Pacific

Asia Pacific is anticipated to witness the fastest growth in the global facial recognition market during the forecast period driven by government-led initiatives and smart city projects.

Many Asian countries are implementing large-scale facial recognition systems as part of smart city and national security initiatives.

In China, the Ministry of Public Security reported in 2020 that the country's facial recognition system covers over 1.4 billion people, with over 20 million cameras deployed nationwide. This extensive network has been used in various applications, from law enforcement to public services.

The financial sector in Asia Pacific is embracing facial recognition for secure authentication and contactless payments.

According to a 2021 report by the China Academy of Information and Communications Technology, facial recognition payment users in China reached 61.3% of the total mobile payment users in 2020. This represents a significant increase from 45.7% in 2019, indicating rapid adoption in the region's largest market.

The widespread integration of facial recognition technology in smartphones and other consumer devices is driving market growth.

A survey by Counterpoint Research found that in 2020, approximately 60% of smartphones shipped in Asia Pacific featured some form of facial recognition capability. In India specifically, the adoption rate of smartphones with facial recognition features increased from 25% in 2018 to over 50% in 2020.

Global Facial Recognition Market: Segmentation Analysis

The Global Facial Recognition Market is segmented based on Technology, Application, End-User, And Geography.

Facial Recognition Market, By Technology

2D Facial Recognition

3D Facial Recognition

  • Facial Analytics

Based on the Technology, the Global Facial Recognition Market is bifurcated into 2D Facial Recognition, 3D Facial Recognition, and Facial Analytics. The 3D facial recognition segment is dominant in the global facial recognition market as the integration of advanced technologies like cloud-based solutions and facial analytics. These capabilities enable high accuracy in detecting facial attributes such as gender, age, and height, making it ideal for organizing vast amounts of data through metadata tags. With its superior detection efficiency, 3D facial recognition is increasingly used in education, retail, healthcare, and police services, contributing significantly to market growth.

Facial Recognition Market, By Application

  • Security
  • Attendance Tracking
  • Access Control
  • Monitoring

Based on the Application, the Global Facial Recognition Market is bifurcated into Security, Attendance Tracking, Access Control, and Monitoring. The access control segment leads the global facial recognition market as there is a projected increase in the focus on security and the demand for efficient access management solutions. Facial recognition is widely accepted as a reliable and convenient authentication method, contributing to its dominance in this segment. As the technology advances and addresses privacy concerns, the access control segment is expected to sustain its market leadership.

Facial Recognition Market, By End-User

  • Government
  • Healthcare
  • E-Commerce
  • Banking
  • Automotive
  • IT and Telecom

Based on End-User, the Global Facial Recognition Market is bifurcated into Government, Healthcare, E-Commerce, Banking, Automotive, IT and Telecom. The e-commerce segment dominates the global facial recognition market as retailers increasingly adopt the technology to enhance operational efficiency and the in-store experience. By enabling fast, secure, and user-friendly payment through face scanning on smart devices or kiosks, facial recognition eliminates the need for multiple POS systems and reduces staff involvement. With advancements in computer vision-based machine learning, it also offers unique authentication by accurately detecting and recognizing faces from vast user databases, further driving its adoption in e-commerce.

Facial Recognition Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of the World

Based on Geography, the Global Facial Recognition Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. North America substantially dominates the global facial recognition market owing to government initiatives and adoption in law enforcement. The widespread implementation of facial recognition technology by various government agencies and law enforcement bodies is driving market growth in North America. According to a 2019 report by the U.S. Government Accountability Office (GAO), 18 out of 24 surveyed federal agencies reported using facial recognition technology for law enforcement purposes. The FBI's facial recognition database, as of 2019, contained over 641 million images, demonstrating the scale of adoption in this sector. The retail and commercial sectors in North America are rapidly adopting facial recognition for personalized marketing, customer analytics, and security purposes.

Key Players

The "Global Facial Recognition Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Megvii, SenseTime, Amazon, Alibaba, Microsoft, IBM, Google, NEC Corporation, Hikvision, Dahua Technology.

  • This section offers in-depth analysis through a company overview, position analysis, the regional and industrial footprint of the company, and the ACE matrix for insightful competitive analysis. The section also provides an exhaustive analysis of the financial performances of mentioned players in the given market.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Global Facial Recognition Market Key Developments

  • In July 2021, SoftBank Vision Fund announced an investment of around USD 235.0 million in AnyVision. The funding will enable AnyVision to grow its face recognition product portfolio and geographical presence globally.
  • In March 2021, Cognitec announced the launch of FaceVACS-Entry CS, a specialized camera for capturing ISO-compliant photos. This camera is used for facial biometric authentication across border crossing and entrance product lines.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL FACIAL RECOGNITION MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL FACIAL RECOGNITION MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model

5 GLOBAL FACIAL RECOGNITION MARKET, BY TECHNOLOGY

  • 5.1 Overview
  • 5.2 2D Facial Recognition
  • 5.3 3D Facial Recognition
  • 5.4 Facial Analytics

6 GLOBAL FACIAL RECOGNITION MARKET, BY APPLICATION

  • 6.1 Overview
  • 6.2 Security
  • 6.3 Attendance Tracking
  • 6.4 Access Control
  • 6.5 Monitoring

7 GLOBAL FACIAL RECOGNITION MARKET, BY END-USER

  • 7.1 Overview
  • 7.2 Government
  • 7.3 Healthcare
  • 7.4 E-Commerce
  • 7.5 Banking
  • 7.6 Automotive
  • 7.7 IT and Telecom

8 GLOBAL FACIAL RECOGNITION MARKET, BY GEOGRAPHY

  • 8.1 Overview
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 U.K.
    • 8.3.3 France
    • 8.3.4 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 India
    • 8.4.4 Rest of Asia Pacific
  • 8.5 Rest of the World
    • 8.5.1 Latin America
    • 8.5.2 Middle East & Africa

9 GLOBAL FACIAL RECOGNITION MARKET COMPETITIVE LANDSCAPE

  • 9.1 Overview
  • 9.2 Company Market Ranking
  • 9.3 Key Development Strategies

10 COMPANY PROFILES

  • 10.1 Megvii
    • 10.1.1 Overview
    • 10.1.2 Financial Performance
    • 10.1.3 Product Outlook
    • 10.1.4 Key Developments
  • 10.2 SenseTime
    • 10.2.1 Overview
    • 10.2.2 Financial Performance
    • 10.2.3 Product Outlook
    • 10.2.4 Key Developments
  • 10.3 Amazon
    • 10.3.1 Overview
    • 10.3.2 Financial Performance
    • 10.3.3 Product Outlook
    • 10.3.4 Key Developments
  • 10.4 Alibaba
    • 10.4.1 Overview
    • 10.4.2 Financial Performance
    • 10.4.3 Product Outlook
    • 10.4.4 Key Developments
  • 10.5 Microsoft
    • 10.5.1 Overview
    • 10.5.2 Financial Performance
    • 10.5.3 Product Outlook
    • 10.5.4 Key Developments
  • 10.6 IBM
    • 10.6.1 Overview
    • 10.6.2 Financial Performance
    • 10.6.3 Product Outlook
    • 10.6.4 Key Developments
  • 10.7 Google
    • 10.7.1 Overview
    • 10.7.2 Financial Performance
    • 10.7.3 Product Outlook
    • 10.7.4 Key Developments
  • 10.8 NEC Corporation
    • 10.8.1 Overview
    • 10.8.2 Financial Performance
    • 10.8.3 Product Outlook
    • 10.8.4 Key Developments
  • 10.9 Hikvision
    • 10.9.1 Overview
    • 10.9.2 Financial Performance
    • 10.9.3 Product Outlook
    • 10.9.4 Key Developments
  • 10.10 Dahua Technology
    • 10.10.1 Overview
    • 10.10.2 Financial Performance
    • 10.10.3 Product Outlook
    • 10.10.4 Key Developments

11 KEY DEVELOPMENTS

  • 11.1 Product Launches/Developments
  • 11.2 Mergers and Acquisitions
  • 11.3 Business Expansions
  • 11.4 Partnerships and Collaborations

12 Appendix

  • 12.1 Related Research