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生物辨別技術

市場調查報告書

商品編碼

1736845

全球臉部辨識市場規模（按技術、應用、最終用戶、地區和預測）

Global Facial Recognition Market Size By Technology, By Application, By End-User, By Geographic Scope And Forecast

出版日期: 2025年05月07日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

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簡介目錄

臉部辨識市場規模及預測

2024 年臉部辨識市場規模為 61.5 億美元，預計到 2032 年將達到 146.2 億美元，2026 年至 2032 年的複合年成長率為 12.62%。

臉部認證是一種生物識別技術，它利用人工智慧即時分析和比較臉部特徵來識別和驗證個人身份。

它已廣泛應用於各行各業，提供高安全性、個人化體驗並提升業務效率。全球臉部辨識市場的企業提供各種解決方案，包括攝影機、軟體和應用程式，以滿足不同行業的客製化需求。

在安防監控領域，臉部辨識可以監控高風險區域、偵測犯罪活動，並控制安全區域的出入。它是機場、零售商店和金融機構的關鍵工具，能夠提升安全性和效率。

此外，該技術還應用於智慧廣告和行銷，幫助瞄準特定受眾並個人化用戶體驗，尤其是在社群媒體和電子商務平台上。

醫療保健是臉部認證日益普及的另一個領域，有助於識別患者並確保安全存取醫療數據。

臉部辨識市場動態

影響全球臉部辨識市場的關鍵市場動態是：

關鍵市場促進因素

安全和監控應用的不斷成長：各行各業對強化安全措施的需求日益成長，推動了臉部辨識技術的普及。根據美國政府課責局 (GAO) 的調查，在接受調查的 24 個聯邦機構中，有 20 個報告稱，2021 年他們已將臉部辨識技術用於數位存取或網路安全目的。報告稱，其中 14 個機構計劃在 2024 年擴大臉部認證的使用範圍。

融入智慧型裝置和消費用途：智慧型手機和其他具備臉部辨識功能的智慧型裝置的廣泛普及，正在顯著擴大市場規模。根據美國商務部國家通訊和資訊管理局 (NTIA) 的報告，截至 2019 年，約有 13% 的美國智慧型手機用戶已經使用臉部認證解鎖設備，這表明該技術在日常生活中的接受度正在不斷提高。

人工智慧和機器學習的進步：人工智慧和機器學習演算法的不斷改進正在提高臉部辨識系統的準確性和功能。美國國家標準與技術研究院 (NIST) 於 2020 年發布的一項研究表明，最佳臉部辨識演算法在一對一匹配場景中的錯誤率低至 0.08%，與 2014 年的演算法相比，準確率提高了 20 倍。

主要挑戰

隱私擔憂和監管挑戰：公眾對隱私問題的日益關注以及嚴格的資料保護條例限制了臉部辨識技術的廣泛應用。根據皮尤研究中心2019年的一項調查，約56%的美國人相信執法機構會負責任地使用臉部辨識，但只有36%的人信任科技公司。這顯示大眾對這項技術的使用持高度懷疑態度。

識別演算法的準確性問題和偏見：對臉部辨識系統準確性的擔憂，尤其是人口統計學偏見，正在抑制市場成長。美國標準與技術研究院 (NIST) 2019 年的一項研究發現，臉部辨識系統對有色人種的錯誤辨識率是白人的 10 到 100 倍。具體而言，據報道，西非、東非和東亞人臉的錯誤辨識率是東歐人臉的錯誤辨識率的 10 到 100 倍。

部署成本高昂：由於需要先進的硬體和軟體，以及持續的維護和升級，臉部辨識系統的成本對某些組織而言過高。美國政府課責局 (GAO) 2021 年的一份報告顯示，美國海關和邊防安全局 (CBP) 在 2016 年至 2021 年期間在其人臉部辨識計畫上花費了約 3.4 億美元。這筆巨額投資凸顯了部署大規模人臉部辨識系統的龐大成本。

主要趨勢

與物聯網 (IoT) 和智慧城市計畫的整合：臉部認證正擴大被納入物聯網設備和智慧城市基礎設施，以增強安全性並提供個人化服務。根據美國運輸部的報告，截至 2021 年，美國已有 100 多個城市實施或正在規劃智慧城市計劃。其中許多計劃都包含用於公共和城市管理的臉部辨識組件。

非接觸式付款系統的採用：新冠疫情加速了非接觸式技術的採用，包括臉部認證付款。根據美國零售聯合會和Forrester在2020年的一項調查，67%的零售商接受某種形式的非接觸式付款。雖然並非所有這些支付方式都基於臉部辨識，但非接觸式解決方案的趨勢正在推動該領域的創新。

醫療保健患者識別和監測應用：臉部辨識正在醫療保健領域找到新的應用，尤其是在患者識別和情緒分析方面。 2022年發表在《美國醫學資訊學會雜誌》上的一項研究報告稱，臉部辨識系統在421,000張影像的資料集中實現了99.5%的患者識別準確率，這表明該技術有潛力改善醫療服務並減少醫療錯誤。

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.

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