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市場調查報告書
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1851738

臉部辨識：市場佔有率分析、產業趨勢、統計數據和成長預測（2025-2030 年）

Facial Recognition - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計到 2025 年，人臉部辨識市場規模將達到 85.8 億美元，到 2030 年將達到 182.8 億美元，預測期（2025-2030 年）的複合年成長率為 16.33%。

臉部辨識市場-IMG1

如今，成長依賴於邊緣運算架構，這種架構能夠在亞秒級推理的同時，將生物識別資料保留在設備端。歐盟人工智慧法律中較嚴格的使用者授權規則，正促使歐洲買家轉向隱私保護型設計，並推動供應商預設整合差分隱私、同態加密和聯邦學習等技術。硬體小型化和低功耗人工智慧加速器正將智慧型手機、執法記錄器和自助服務終端轉變為登記點，將目標用戶群擴展到固定閉路電視CCTV之外。最後，支付、乘客資訊和零售分析正在補充傳統的安全應用場景，以實現收入來源多元化，並平滑不同地區的需求週期。

全球臉部辨識市場趨勢與洞察

加速新興亞洲國家國民身分證和電子護照的推廣

越南計畫在2025年在所有邊境口岸實施生物辨識認證，新加坡的目標是到2026年將樟宜機場免護照通道的等待時間縮短40%，並實現95%的自動化。馬來西亞和巴布亞紐幾內亞正計劃在全國部署生物辨識系統，這將使亞太地區的累積註冊用戶超過8億，使其成為全球最大的設備端臉部認證系統測試基地。供應商不僅獲得了授權收入，還獲得了參考架構，這些架構將影響從非洲到拉丁美洲的公共部門競標。這些計劃中開發的互通性標準將降低金融服務提供者重複使用相同身分錢包的整合風險。最終，這將從根本上加強臉部辨識市場的軟體、邊緣硬體和合規管理服務。

零售連鎖店對邊緣智慧攝影機的需求激增

預計到2024年，美國有組織零售犯罪造成的損失將超過1,000億美元，這將加速邊緣人工智慧攝影機的普及應用。這些攝影機無需將資料傳輸到雲端伺服器即可分析人臉和行為。 Asda與FaceTech合作的試點計畫實現了99.992%的準確率。在美國排名前50名的雜貨商中，已有15家使用臉部辨識來標記慣犯，並偵測員工和顧客的「甜言蜜語」式詐騙行為。由Nvidia Jetson或EdgeCortix SAKURA-II開發板提供的即時分析功能可以減少損耗，並產生客流量數據，為行銷系統提供資訊。由於損失預防和個人化體驗的雙重優勢，零售業已成為人臉部辨識市場中成長最快的私部門。

嚴格的GDPR生物辨識同意要求（歐盟27國）

歐盟人工智慧法將遠端生物識別認證列為「高風險」技術，除少數例外情況外，禁止執法部門即時使用，並禁止在職場情緒辨識。採用者必須進行資料保護影響評估，證明其合法權益，並在存在權力不對等的情況下獲得明確同意。隨著整合商添加遮罩、設備端處理和審核日誌等功能，合規成本將增加20%至30%。建造符合歐盟標準的版本的供應商通常會將其隱私保護技術堆疊重複用於其他市場，而規模較小的公司則會撤出或推遲其在歐洲的業務，從而減緩臉部辨識市場近期的普及速度。

細分市場分析

改進的演算法已將誤報率降低至 0.1% 以下，從而能夠在標準 CPU 上部署，預計到 2024 年，軟體收入將佔全球總收入的 58%。邊緣硬體繼續以 19.4% 的複合年成長率快速成長，因為金融和醫療保健合規團隊要求生物識別模板不得離開辦公室。 SAKURA-II 晶片可在 10W 的功耗預算內運行複雜的模型，從而支援便利商店和交通樞紐的自助服務終端。

基於 API 的授權模式使開發者能夠在數小時內將臉部認證嵌入行動應用，從而避免了以往承包計劃通常需要數年才能完成的週期。同時，硬體供應商將安全元件儲存和專用加速器與其電腦視覺 SDK 捆綁銷售，每次新的分析模組作為韌體下載發佈時，都會鎖定一筆可觀的收入。這種雙邊模式既提高了軟體的黏性，也增加了臉部辨識市場的轉換成本。

2D演算法仍將依賴現有的CCTV基礎設施，預計2024年將佔總營收的43.5%。然而，能夠辨識微表情、注意力、困倦程度等的「情緒AI」引擎將以18.8%的複合年成長率成長，從而重塑客戶體驗和道路安全應用。隨著零售商、保險公司和汽車製造商將行為洞察貨幣化，預計到2030年，基於分析主導的臉部辨識模組市場規模將成長3.5倍。

此混合技術堆疊融合了3D深度資訊和 2D RGB 幀，可有效防止欺騙攻擊，並實現符合 ISO/IEC 30107-3 標準的活體偵測。 Suprema 的 Q-Vision Pro 可對每台設備最多 50,000 個用戶進行身份驗證，並對所有交易進行端對端加密，從而使 ATM 營運商能夠取消 PIN 碼墊片。這種安全性和分析能力的整合豐富了開發平臺，並使收入來源多元化，涵蓋授權、硬體和服務等多個層面。

區域分析

由於各國將臉部認證融入其數位公共基礎設施，亞洲將在2024年佔38.7%的銷售額。中國的安全管理措施要求所有儲存超過10萬個範本的公司向當地網路安全機構註冊，並設有嚴格的審核機制，優先考慮擁有安全供應鏈的成熟供應商。日本2025年大阪關西世界博覽會將採用NEC人臉支付系統，預計將吸引120萬遊客。

在中東，阿拉伯聯合大公國的生物辨識辨識技術將以17.4%的複合年成長率快速發展，逐步取代銀行、醫療保健和公共網站中的塑膠卡。杜拜機場的無護照計劃將乘客的臉部資訊與其登機證和錢包資訊關聯起來，使該地區成為無摩擦旅行的試驗場。海灣國家政府正在資助概念驗證，並迅速將其轉化為全國性政策，從而縮短了推廣週期，並加速了臉部辨識市場供應商的收入成長。

北美地區在航空公司部署和執法預算方面仍然至關重要，但也面臨最嚴峻的訴訟風險。國會對美國運輸安全管理局（TSA）擴張的審查凸顯了公民自由方面的擔憂，儘管此舉無疑提高了旅客處理能力。聯邦法律的分散化導致了各州法律的拼湊，例如伊利諾伊州的《生物辨識資訊隱私法案》（BIPA）和加州的《公民隱私權法案》（CPRA），這使得跨境部署更加複雜。歐洲嚴格的監管制度雖然減緩了即時城市監控的發展，但也推動了對能夠進行設備端錄音和用戶許可管理的邊緣設備的需求，從而使隱私技術供應商在臉部辨識行業站穩了腳跟。

其他福利：

  • Excel格式的市場預測（ME）表
  • 3個月的分析師支持

目錄

第1章 目錄

第2章 引言

  • 研究假設和市場定義
  • 調查範圍

第3章調查方法

第4章執行摘要

第5章 市場情勢

  • 市場促進因素
    • 加速新興亞洲國家國民身分證和電子護照的推廣
    • 零售連鎖店對邊緣智慧攝影機的需求激增
    • 北美航空公司將強制使用生物識別登機
    • 海灣合作理事會金融科技領域快速普及 FacePay 和 KYC 簡化錢包
  • 市場限制
    • 嚴格的GDPR生物辨識同意要求（歐盟27國）
    • 美國演算法偏見訴訟風險
    • 中國網路安全2.0硬體認證瓶頸
    • 市民反對全市擴大攝影機
  • 監理展望
  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭

第6章 市場規模與成長預測

  • 按組件
    • 硬體
      • 網路攝影機和感測器
      • 邊緣人工智慧晶片
    • 軟體
      • 臉部偵測和對齊
      • 特徵提取與匹配
      • 活體檢測
    • 服務
      • 託管服務
      • 專業服務
  • 透過技術
    • 2D人臉部辨識
    • 3D臉部辨識
    • 熱感/紅外線臉部認證
    • 臉部分析和情感人工智慧
    • 混合和多模態演算法
  • 透過部署
    • 本地部署
    • 雲端基礎的
    • 邊緣/設備端
  • 依設備類型
    • 固定監視錄影機
    • 行動裝置和穿戴式裝置
      • 智慧型手機
      • 執法記錄儀
    • 自助服務終端和存取終端
  • 透過使用
    • 安全與監控
      • 邊境管制/電子門
      • 公共區域CCTV分析
    • 存取控制
      • 企業/校園招聘
      • 智慧鎖（住宅）
    • 身份驗證/電子KYC
      • 數位銀行註冊
      • SIM卡註冊
    • 支付和交易
      • Face Pay（零售POS）
    • 客戶分析與個人化
      • 商店定向廣告
  • 最終用戶
    • 政府和執法部門
    • BFSI
    • 零售與電子商務
    • 衛生保健
    • 汽車與運輸
    • 電信和資訊技術
    • 飯店和娛樂
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
      • 墨西哥
    • 南美洲
      • 巴西
      • 阿根廷
      • 智利
      • 其他南美洲
    • 歐洲
      • 德國
      • 英國
      • 法國
      • 義大利
      • 西班牙
      • 北歐國家
      • 其他歐洲地區
    • 亞太地區
      • 中國
      • 日本
      • 韓國
      • 印度
      • ASEAN
      • 澳洲和紐西蘭
      • 亞太其他地區
    • 中東和非洲
      • 中東
      • GCC
      • 土耳其
      • 其他中東地區
      • 非洲
      • 南非
      • 奈及利亞
      • 其他非洲地區

第7章 競爭情勢

  • 市場集中度
  • 策略趨勢
  • 市佔率分析
  • 公司簡介
    • NEC Corporation
    • Thales Group
    • IDEMIA
    • Panasonic Corp.
    • Aware, Inc.
    • Cognitec Systems GmbH
    • Face++, Megvii Technology
    • SenseTime Holdings
    • Clearview AI
    • Daon, Inc.
    • FacePhi Biometria SA
    • AnyVision（now Oosto）
    • SAFR（RealNetworks Inc.）
    • CyberLink Corp.
    • Innovatrics
    • Suprema Inc.
    • Herta Security
    • iProov Ltd.
    • Corsight AI
    • VisionLabs

第8章：市場機會與未來展望

  • 閒置頻段與未滿足需求評估
簡介目錄
Product Code: 64785

The Facial Recognition Market size is estimated at USD 8.58 billion in 2025, and is expected to reach USD 18.28 billion by 2030, at a CAGR of 16.33% during the forecast period (2025-2030).

Facial Recognition - Market - IMG1

Growth now relies on edge-based architectures that deliver sub-second inference while allowing biometric data to remain on-device, a requirement embedded in new laws such as China's Security Management Measures for Facial Recognition Technology. Stricter consent rules under the EU AI Act steer European buyers toward privacy-preserving designs, pushing vendors to integrate differential privacy, homomorphic encryption, and federated learning by default. Hardware miniaturization and low-power AI accelerators have turned smartphones, body cameras, and kiosks into enrolment points, broadening the addressable base well beyond fixed CCTV. Finally, payments, passenger facilitation, and retail analytics now complement traditional security use cases, diversifying revenue streams and smoothing demand cycles across regions.

Global Facial Recognition Market Trends and Insights

Accelerating National ID and e-Passport Roll-outs in Emerging Asia

By 2025 Vietnam requires biometric authentication at every border, while Singapore's passport-free lanes at Changi have cut wait times by 40% and target 95% automated use by 2026. Malaysia and Papua New Guinea have scheduled nationwide deployments that push cumulative APAC enrolments above 800 million citizens, creating the world's largest testing ground for on-device facial verification systems. Vendors gain not only licence revenue but also reference architectures that influence public-sector bids from Africa to Latin America. Interoperability standards drafted in these projects reduce integration risk for financial-service players that later reuse the same ID wallets. The result is a structural pull-through for software, edge hardware, and managed compliance services across the facial recognition market.

Soaring Adoption of Edge-Based Smart Cameras in Retail Chains

Organized retail crime exceeded USD 100 billion in the United States in 2024, accelerating deployment of edge AI cameras that analyse faces and behaviours without streaming to cloud servers. Asda's pilot with FaiceTech achieves 99.992% accuracy and deletes non-matches instantly to satisfy GDPR mandates. Fifteen of the top 50 US grocers now use facial recognition to flag repeat offenders and detect employee-customer "sweethearting" fraud. Real-time analytics delivered on Nvidia Jetson or EdgeCortix SAKURA-II boards reduce shrinkage and generate footfall intelligence that feeds marketing systems, giving retailers a hard ROI within months. This twin benefit of loss prevention and experience personalisation keeps retail the fastest-growing private-sector adopter in the facial recognition market.

Strict GDPR Biometric Consent Requirements (EU-27)

The EU AI Act classifies remote biometric identification as "high-risk," banning real-time use for law enforcement except under narrow exemptions and prohibiting emotion recognition at work. Deployers must run Data Protection Impact Assessments, justify legitimate interest, and obtain explicit consent where power imbalances exist. Compliance costs rise 20-30% as integrators add masking, on-device processing, and audit logs. Vendors building EU-ready versions often re-use the privacy-by-design stack for other markets, but smaller firms exit or defer Europe, slowing short-term diffusion of the facial recognition market.

Other drivers and restraints analyzed in the detailed report include:

  1. Mandated Biometric Boarding by North-American Airlines
  2. Rapid Uptake of Face Pay and KYC-Lite Wallets in GCC Fintech
  3. Algorithmic Bias Litigation Risk in the United States

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software accounted for 58% of global revenue in 2024 as algorithmic improvements lowered false accept rates to below 0.1% and enabled deployment on standard CPUs. Edge hardware remains the fastest-growing slice at 19.4% CAGR because compliance teams in finance and healthcare insist that biometric templates never leave the premises. SAKURA-II chips run complex models within 10 W power budgets, making autonomous kiosks viable inside convenience stores and transit hubs.

API-based licensing lets developers embed facial verification into mobile apps in hours, eliminating the multi-year cycles typical of earlier turnkey projects. At the same time, hardware vendors bundle computer-vision SDKs with secure-element storage and dedicated accelerators, locking in annuity streams as every new analytics module becomes a firmware download. This two-sided model keeps software sticky while raising switching costs for the entire facial recognition market.

2-D algorithms still ride on existing CCTV infrastructure and therefore generated 43.5% of 2024 revenue. Yet "emotion AI" engines that map micro-expressions, attention span, or drowsiness will grow at 18.8% CAGR, reshaping customer-experience and road-safety applications. The facial recognition market size for analytics-driven modules is forecast to rise 3.5 X by 2030 as retailers, insurers, and automakers monetise behavioural insights.

Hybrid stacks blend 3-D depth cues with 2-D RGB frames to thwart spoofing and deliver liveness checks that comply with ISO/IEC 30107-3. Suprema's Q-Vision Pro validates up to 50,000 users per device and encrypts every transaction end-to-end, allowing ATM operators to eliminate PIN pads. Such crossover of security and analytics keeps R&D pipelines full and diversifies revenue across licence, hardware, and service layers.

Facial Recognition Market Report is Segmented by Component (Hardware, Software, Services), Technology (2-D, 3-D, Thermal, Facial Analytics, Hybrid), Deployment (On-Premise, Cloud, Edge), Device (Fixed Cameras, Mobile, Smartphones, Kiosks), Application (Security, Identity Verification, Payments), End-User (Government, BFSI, Retail, Healthcare and More), and by Geography. The Market Forecasts are Provided in Terms of Value (USD)

Geography Analysis

Asia held 38.7% of 2024 revenue thanks to states that embed facial recognition into digital public infrastructure. China's Security Management Measures force any entity that stores templates for more than 100,000 persons to register with provincial cyber authorities, establishing a vetting hurdle that favours established vendors with secure supply chains. Japan's 2025 Osaka-Kansai Expo will run NEC face-payments for an anticipated 1.2 million visitors, a live showcase that can seed exports across Southeast Asia.

The Middle East will expand at a 17.4% CAGR as UAE's biometric ID replaces plastic cards across banking, healthcare, and public portals. Dubai Airport plans passport-free travel that links passengers' faces to boarding and retail wallets in one corridor, positioning the region as a laboratory for frictionless mobility. Gulf governments bankroll proof-of-concepts and rapidly convert them to nationwide policies, compressing adoption cycles and accelerating revenue capture for suppliers within the facial recognition market.

North America remains pivotal through airline rollouts and law-enforcement budgets but faces the strongest litigation risk. Congressional scrutiny over TSA's expansion highlights civil-liberty concerns even as passenger throughput gains are undeniable. Federal fragmentation spawns a patchwork of state laws Illinois' BIPA, California's CPRA making cross-border deployments complex. Europe's strict regime slows real-time city surveillance but ramps demand for edge devices running on-device redaction and consent management, giving privacy-tech vendors a foothold in the facial recognition industry.

  1. NEC Corporation
  2. Thales Group
  3. IDEMIA
  4. Panasonic Corp.
  5. Aware, Inc.
  6. Cognitec Systems GmbH
  7. Face++, Megvii Technology
  8. SenseTime Holdings
  9. Clearview AI
  10. Daon, Inc.
  11. FacePhi Biometria SA
  12. AnyVision (now Oosto)
  13. SAFR (RealNetworks Inc.)
  14. CyberLink Corp.
  15. Innovatrics
  16. Suprema Inc.
  17. Herta Security
  18. iProov Ltd.
  19. Corsight AI
  20. VisionLabs

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 Table of Contents

2 INTRODUCTION

  • 2.1 Study Assumptions and Market Definition
  • 2.2 Scope of the Study

3 RESEARCH METHODOLOGY

4 EXECUTIVE SUMMARY

5 MARKET LANDSCAPE

  • 5.1 Market Drivers
    • 5.1.1 Accelerating National ID and e-Passport Roll-outs in Emerging Asia
    • 5.1.2 Soaring Adoption of Edge-based Smart Cameras in Retail Chains
    • 5.1.3 Mandated Biometric Boarding by North-American Airlines
    • 5.1.4 Rapid Uptake of Face Pay and KYC-lite Wallets in GCC Fintech
  • 5.2 Market Restraints
    • 5.2.1 Strict GDPR Biometric Consent Requirements (EU-27)
    • 5.2.2 Algorithmic Bias Litigation Risk in the U.S.
    • 5.2.3 China Cyber-Security Classified Protection 2.0 Hardware Certification Bottlenecks
    • 5.2.4 Public Push-back on City-wide Camera Expansion
  • 5.3 Regulatory Outlook
  • 5.4 Porter's Five Forces Analysis
    • 5.4.1 Bargaining Power of Suppliers
    • 5.4.2 Bargaining Power of Buyers
    • 5.4.3 Threat of New Entrants
    • 5.4.4 Threat of Substitutes
    • 5.4.5 Intensity of Competitive Rivalry

6 MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 6.1 By Component
    • 6.1.1 Hardware
      • 6.1.1.1 Cameras and Sensors
      • 6.1.1.2 Edge AI Chips
    • 6.1.2 Software
      • 6.1.2.1 Face Detection and Alignment
      • 6.1.2.2 Feature Extraction and Matching
      • 6.1.2.3 Liveness Detection
    • 6.1.3 Services
      • 6.1.3.1 Managed Services
      • 6.1.3.2 Professional Services
  • 6.2 By Technology
    • 6.2.1 2-D Facial Recognition
    • 6.2.2 3-D Facial Recognition
    • 6.2.3 Thermal/Infra-red Facial Recognition
    • 6.2.4 Facial Analytics and Emotion AI
    • 6.2.5 Hybrid and Multimodal Algorithms
  • 6.3 By Deployment
    • 6.3.1 On-premise
    • 6.3.2 Cloud-based
    • 6.3.3 Edge / On-device
  • 6.4 By Device Form-factor
    • 6.4.1 Fixed Surveillance Cameras
    • 6.4.2 Mobile and Wearables
      • 6.4.2.1 Smartphones
      • 6.4.2.2 Body-worn Cameras
    • 6.4.3 Kiosks and Access Terminals
  • 6.5 By Application
    • 6.5.1 Security and Surveillance
      • 6.5.1.1 Border Control / e-Gates
      • 6.5.1.2 Public Area CCTV Analytics
    • 6.5.2 Access Control
      • 6.5.2.1 Corporate and Campus Entry
      • 6.5.2.2 Smart Locks (Residential)
    • 6.5.3 Identity Verification / e-KYC
      • 6.5.3.1 Digital Banking On-boarding
      • 6.5.3.2 SIM Registration
    • 6.5.4 Payments and Transactions
      • 6.5.4.1 Face Pay (Retail POS)
    • 6.5.5 Customer Analytics and Personalisation
      • 6.5.5.1 In-store Targeted Advertising
  • 6.6 By End-user
    • 6.6.1 Government and Law-Enforcement
    • 6.6.2 BFSI
    • 6.6.3 Retail and E-commerce
    • 6.6.4 Healthcare
    • 6.6.5 Automotive and Transportation
    • 6.6.6 Telecom and IT
    • 6.6.7 Hospitality and Entertainment
  • 6.7 By Geography
    • 6.7.1 North America
      • 6.7.1.1 United States
      • 6.7.1.2 Canada
      • 6.7.1.3 Mexico
    • 6.7.2 South America
      • 6.7.2.1 Brazil
      • 6.7.2.2 Argentina
      • 6.7.2.3 Chile
      • 6.7.2.4 Rest of South America
    • 6.7.3 Europe
      • 6.7.3.1 Germany
      • 6.7.3.2 United Kingdom
      • 6.7.3.3 France
      • 6.7.3.4 Italy
      • 6.7.3.5 Spain
      • 6.7.3.6 Nordics
      • 6.7.3.7 Rest of Europe
    • 6.7.4 Asia Pacific
      • 6.7.4.1 China
      • 6.7.4.2 Japan
      • 6.7.4.3 South Korea
      • 6.7.4.4 India
      • 6.7.4.5 ASEAN
      • 6.7.4.6 Australia and New Zealand
      • 6.7.4.7 Rest of Asia Pacific
    • 6.7.5 Middle East and Africa
      • 6.7.5.1 Middle East
      • 6.7.5.1.1 GCC
      • 6.7.5.1.2 Turkey
      • 6.7.5.1.3 Rest of Middle East
      • 6.7.5.2 Africa
      • 6.7.5.2.1 South Africa
      • 6.7.5.2.2 Nigeria
      • 6.7.5.2.3 Rest of Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Market Concentration
  • 7.2 Strategic Moves
  • 7.3 Market Share Analysis
  • 7.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 7.4.1 NEC Corporation
    • 7.4.2 Thales Group
    • 7.4.3 IDEMIA
    • 7.4.4 Panasonic Corp.
    • 7.4.5 Aware, Inc.
    • 7.4.6 Cognitec Systems GmbH
    • 7.4.7 Face++, Megvii Technology
    • 7.4.8 SenseTime Holdings
    • 7.4.9 Clearview AI
    • 7.4.10 Daon, Inc.
    • 7.4.11 FacePhi Biometria SA
    • 7.4.12 AnyVision (now Oosto)
    • 7.4.13 SAFR (RealNetworks Inc.)
    • 7.4.14 CyberLink Corp.
    • 7.4.15 Innovatrics
    • 7.4.16 Suprema Inc.
    • 7.4.17 Herta Security
    • 7.4.18 iProov Ltd.
    • 7.4.19 Corsight AI
    • 7.4.20 VisionLabs

8 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 8.1 White-space and Unmet-Need Assessment