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顔認識の世界市場規模:技術別、用途別、エンドユーザー別、地域別、予測

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


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英文 202 Pages
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2~3営業日
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=148.47円
顔認識の世界市場規模:技術別、用途別、エンドユーザー別、地域別、予測
出版日: 2025年05月07日
発行: Verified Market Research
ページ情報: 英文 202 Pages
納期: 2~3営業日
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概要

顔認識市場の規模と予測

顔認識の市場規模は2024年に61億5,000万米ドルと評価され、2026~2032年にかけて12.62%のCAGRで成長し、2032年には146億2,000万米ドルに達すると予測されます。

顔認証は、人工知能を使ってリアルタイムで顔の特徴を分析・比較し、個人を識別・認証する生体認証技術です。

様々な分野で広く利用されるようになり、高度なセキュリティ、パーソナライズされた体験、業務効率の向上を提供しています。世界の顔認識市場の企業は、多様な業界に合わせたカメラ、ソフトウェア、アプリなど、さまざまなソリューションを提供しています。

セキュリティと監視において、顔認識は危険性の高いエリアを監視し、犯罪行為を検出し、安全な場所へのアクセスを制御します。空港、小売店、金融機関では重要なツールであり、安全性と効率の両方を向上させています。

さらに、この技術はスマート広告やマーケティングにも応用されており、特にソーシャルメディアやeコマースプラットフォームにおいて、特定の視聴者をターゲットにしたり、ユーザー体験をパーソナライズしたりするのに役立っています。

ヘルスケアもまた、顔認証が普及しつつある分野です。患者の識別を助け、医療データへの安全なアクセスを保証します。

顔認識の市場力学

世界の顔認識市場を形成している主な市場力学は以下の通り:

主な市場促進要因

セキュリティと監視の採用増加:様々な分野でのセキュリティ対策強化の需要の高まりが、顔認識技術の採用を促進しています。米国政府説明責任局(GAO)によると、調査対象となった24の連邦政府機関のうち20機関が、2021年にデジタルアクセスやサイバーセキュリティの目的で顔認識技術を使用したと報告しています。同報告書によると、このうち14機関が2024年までに顔認証の利用を拡大する予定だといいます。

スマートデバイスと消費者向け用途への統合:顔認識機能を備えたスマートフォンやその他のスマートデバイスの普及は、市場を大幅に拡大しています。米国商務省の国家通信情報局(NTIA)の報告書によると、2019年の時点で、米国のスマートフォンユーザーの約13%がすでにデバイスのロック解除に顔認証を使用しており、日常生活においてこの技術が受け入れられつつあることを示しています。

AIと機械学習の進歩:人工知能と機械学習アルゴリズムの継続的な改善により、顔認識システムの精度と機能が向上しています。米国立標準技術研究所(NIST)が2020年に発表した研究によると、最も優れた顔認識アルゴリズムのエラー率は、1対1の照合シナリオで0.08%と低く、2014年のアルゴリズムと比較して精度が20倍向上していることが明らかになりました。

主な課題

プライバシーへの懸念と規制上の課題:プライバシー問題に対する社会的意識の高まりと厳しいデータ保護規制が、顔認識技術の普及を制限しています。Pew Research Centerによる2019年の調査によると、アメリカ人の約56%は、法執行機関が責任を持って顔認識を使用することを信用していますが、テクノロジー企業を信用しているのは36%に過ぎませんでした。これは、この技術の使用に対する国民の懐疑心が大きいことを示しています。

認識アルゴリズムの精度の問題とバイアス:顔認識システムの精度、特に人口統計学的バイアスに関する懸念が市場の成長を抑制しています。米国国立標準技術研究所(NIST)が2019年に行った調査では、顔認識システムは白人に比べて有色人種を10倍から100倍誤認する可能性があることが分かりました。具体的には、西アフリカ、東アフリカ、東アジアの顔の誤認率は、東欧の顔の誤認率の10~100倍高いと報告されています。

高い導入コスト:高度なハードウェアとソフトウェアが必要であり、また継続的なメンテナンスとアップグレードが必要であるため、顔認識システムは組織によっては法外に高価なものとなっています。2021年の米国政府説明責任局(GAO)によるレポートでは、米国税関・国境警備局(CBP)が2016~2021年の間に顔認識プログラムに約3億4,000万米ドルを費やしたことが明らかになりました。この多額の投資は、大規模な顔認識システムの導入に伴う多大なコストを浮き彫りにしています。

主要動向

モノのインターネット(IoT)やスマートシティ構想との統合:セキュリティ強化やパーソナライズされたサービスのために、IoTデバイスやスマートシティインフラへの顔認証の組み込みが進んでいます。米国運輸省の報告書によると、2021年の時点で、米国の100以上の都市がスマートシティプロジェクトを実施または計画しています。これらのプロジェクトの多くには、公共の安全と都市管理のための顔認識コンポーネントが含まれています。

非接触型決済システムの採用:COVID-19の大流行により、決済用の顔認証を含む非接触技術の採用が加速しています。全米小売業協会(National Retail Federation)とForresterが2020年に実施した調査によると、小売業者の67%が何らかの非接触型決済を受け入れています。これらのすべてが顔認識ベースというわけではありませんが、非接触ソリューションへの動向がこの分野のイノベーションを促進しています。

ヘルスケアにおける患者識別とモニタリングへの応用:顔認識はヘルスケア、特に患者の識別と感情分析に新たな用途を見出しています。2022年にJournal of the American Medical Informatics Associationに掲載された研究では、42万1,000枚の画像のデータセットにおいて、顔認識システムが99.5%の患者識別精度を達成したことが報告されており、この技術がヘルスケア提供の改善と医療ミスの削減につながる可能性を示しています。

目次

第1章 イントロダクション

  • 市場概要
  • 調査範囲
  • 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

  • データマイニング
  • バリデーション
  • 一次資料
  • データソース一覧

第4章 市場概要

  • 概要
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
  • ポーターのファイブフォースモデル

第5章 顔認証市場:技術別

  • 概要
  • 2D顔認識
  • 3D顔認識
  • 顔分析

第6章 顔認識市場:用途別

  • 概要
  • セキュリティ
  • 出欠管理
  • 入退室管理
  • 監視

第7章 顔認証市場:エンドユーザー別

  • 概要
  • 政府機関
  • ヘルスケア
  • eコマース
  • 銀行
  • 自動車
  • ITおよび電気通信

第8章 顔認証市場:地域別

  • 概要
  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • その他アジア太平洋地域
  • 世界のその他の地域
    • ラテンアメリカ
    • 中東・アフリカ

第9章 競合情勢

  • 概要
  • 各社の市場ランキング
  • 主な発展戦略

第10章 企業プロファイル

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

第11章 主な発展

  • 製品上市/開発
  • 合併と買収
  • 事業拡大
  • パートナーシップと提携

第12章 付録

  • 関連調査
目次
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