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顔認識の世界市場予測 2022年:コンポーネント・技術・使用事例 (感情認識、出席者追跡・モニタリング、アクセス制御、法執行)・エンドユーザー・地域別

Facial Recognition Market by Component (Software Tools and Services), Technology, Use Case (Emotion Recognition, Attendance Tracking and Monitoring, Access Control, Law Enforcement), End-User, and Region - Global Forecast to 2022

発行 MarketsandMarkets 商品コード 271065
出版日 ページ情報 英文 155 Pages
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顔認識の世界市場予測 2022年:コンポーネント・技術・使用事例 (感情認識、出席者追跡・モニタリング、アクセス制御、法執行)・エンドユーザー・地域別 Facial Recognition Market by Component (Software Tools and Services), Technology, Use Case (Emotion Recognition, Attendance Tracking and Monitoring, Access Control, Law Enforcement), End-User, and Region - Global Forecast to 2022
出版日: 2017年11月13日 ページ情報: 英文 155 Pages
概要

世界の顔認識の市場規模は、2017年には40億5000万米ドル、2022年には77億6000万米ドルと、毎年13.9%のCAGR (複合年間成長率) で拡大する見通しです。市場成長の主な要因として、3D式顔認識ソフトウェアや分析ツールの開発・利用増加や、公共空間での監視体制強化の必要性などが挙げられます。用途別では法執行機関向け、地域別では北米での急速な市場成長が期待されています。

当レポートでは、世界の顔認識 (顔認証) 技術の市場について分析し、技術の概要や市場の基本構造・最新情勢、主な市場促進・阻害要因、市場動向と今後の見通し (過去2年間・今後6年間分)、コンポーネント別・技術別・エンドユーザー別・地域別の詳細動向、市場競争の状態、主要企業のプロファイルなどを調査しております。

第1章 イントロダクション

第2章 分析手法

第3章 エグゼクティブ・サマリー

第4章 重要考察

第5章 市場概要と産業動向

  • イントロダクション
  • 顔認識の問題に対するアプローチ
  • 各種業界での顔認識の使用事例:シナリオ (1) 〜 (7)
  • 技術規格
    • ANSI/INCITS (M1) 385-2004
    • ISO SC37 19794-5
    • ANSI/INCITS (M1) 379-2004
    • ANSI/NIST-ITL 1-2000
    • INCITS 398-2005
    • INCITS 358-2002
  • FIDO ALLIANCE (Fast IDentity Online Alliance)
  • プロセスの概要と、使用されているアルゴリズム
  • 市場のダイナミクス
    • 促進要因
      • 公共空間での監視・モニタリングのニーズ拡大
      • 政府機関での顔認識技術の認識・ニーズ増大
      • 各種産業での利用拡大
    • 抑制要因
      • 相互運用性に関する不安
      • 表情・感情の解釈ミス
    • 市場機会
      • 世界各地でのスマートシティ・プロジェクトの増加
      • スマートフォンの普及率上昇
      • クラウドベース技術ソリューションの導入
    • 課題
      • 照明の問題

第6章 顔認識市場の分析:コンポーネント別

  • イントロダクション
  • ソフトウェアツール
    • 二次元 (2D) 顔認識
    • 三次元 (3D) 顔認識
    • 顔温度認識
  • サービス
    • 訓練・コンサルティングサービス
    • クラウドベース顔認識サービス

第7章 顔認識市場の分析:技術別

  • イントロダクション
    • 顔認識ソフトウェアおよびSDK (ソフトウェア開発キット)
    • ミドルウェア
    • データベース
    • モデリング/再構成 (リストラクチャリング)
    • 分析ソリューション

第8章 顔認識市場の分析:使用事例

  • イントロダクション
  • 感情認識
  • 参加者追跡・モニタリング
  • アクセス制御
  • 法執行
  • その他

第9章 顔認識市場の分析:エンドユーザー別

  • イントロダクション
  • 政府機関
    • 国内安全保障
    • 軍事
  • 企業
    • 銀行・金融サービス・保険 (BFSI)
    • 医療
    • 小売業
  • その他のエンドユーザー

第10章 地域分析

  • イントロダクション
    • 北米 (米国、カナダ)
    • 欧州 (英国、ドイツ、フランスなど)
    • アジア太平洋地域 (中国、日本、韓国、シンガポールなど)
    • ラテンアメリカ (ブラジル、メキシコなど)
    • 中東・アフリカ

第11章 企業プロファイル

  • AWARE
  • 日本電気
  • AYONIX
  • COGNITEC SYSTEMS
  • KEYLEMON
  • NVISO
  • HERTA SECURITY
  • TECHNO BRAIN
  • NEUROTECHNOLOGY
  • DAON
  • ANIMETRICS
  • 3M COMPANY
  • IDEMIA
  • GEMALTO

第12章 付録

このページに掲載されている内容は最新版と異なる場合があります。詳細はお問い合わせください。

目次
Product Code: TC 3421

The 3D facial recognition software tool is expected to witness a highest growth."

The global facial recognition market is expected to grow from USD 4.05 billion in 2017 to USD 7.76 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 13.9% during forecast period. The 3D facial recognition software tool analyzes, identifies, and verifies the facial characteristics of individuals with high potential. The 3D facial recognition technology uses 3D geometric features of the human face, which are compared with the images stored in the database. The increased need for enhanced surveillance and monitoring at public places and the increase in use of facial recognition technologies in industries, such as the government are said to be driving the facial recognition market growth.

Training and consulting services segment is expected to have the largest market share during the forecast period

In the facial recognition market, the training and consulting services segment includes feasibility assessment, analysis, and advisory of large-scale governmental and military projects. It also includes requirement gathering, biometric security design, technology evaluation, and validation of biometric features. Several leading service providers offer training and consulting services in the facial recognition market.

Law enforcement segment is expected to have the largest market size during the forecast period

Facial recognition software and services are predominantly applied at the premises where enforcement, surveillance, and monitoring of the facial detection law is needed. Facial recognition technologies are capable of recognizing faces in real-time using webcam; providing accurate gender information; detecting age, mood, and other features; and searching faces from the database. The demand for the software is expected to have increased, due to the increasing data breaches and the enterprises' growing need to save resources from unauthorized access.

"North America is expected to witness the highest growth during the forecast period

Among the 5 regions, North America is expected to have the largest market size in the facial recognition market during the forecast period. The North American region has shown increased investments in the market, and several vendors have evolved to cater to the rapidly growing market. A considerable growth is expected in the region during the forecast period. Major initiatives taken for the growth of the facial recognition technology have their origin in this region. The smart city initiatives taken by the government in this region has positively impacted the adoption trend of the facial recognition technology across the region, to enhance the monitoring and improve the surveillance.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the facial recognition market.

  • By Company Type: Tier I: 18%, Tier II: 48%, and Tier III: 34%
  • By Designation: C-Level: 22%, Director Level: 43%, and Others: 35%
  • By Region: North America: 23%, Europe: 48%, APAC: 16%, and MEA: 13%

The report includes the study of the key players offering facial recognition solutions, hardware, and services. Aware (US), NEC Corporation (Japan), Ayonix Corp. (Japan), Cognitec Systems (Germany), KeyLemon (Switzerland), nViso (Switzerland), Herta Security (Spain), Techno Brain (Kenya), Neurotechnology (Lithuania), Daon (US), Animetrics (US), 3M Company (US), IDEMIA (France), and Gemalto (Netherlands) are some of the companies profiled in the report. The report includes an in-depth competitive analysis of these key facial recognition market players, along with their company profiles, product offerings, recent developments, and market strategies.

Research Coverage:

The facial recognition market has been segmented on the basis of components (software tools and services), technology, use cases, end-users, and regions. The facial recognition software tools include 2D facial recognition, 3D facial recognition, and thermal face recognition. The services segment includes training and consulting services, and cloud-based facial recognition services. The technologies segment includes facial recognition software and Software Development Kit (SDK), middleware, databases, modeling and restructuring, and analytics solution. On the basis of use cases, the facial recognition market is divided into emotion recognition, attendance tracking and monitoring, access control, and law enforcement. On the basis of end-users, the facial recognition market is segmented into government, enterprises, and other end-users. The other end-users segment includes casinos, public places, automotive, mobile application, and home security systems. The government sector is further segmented as Homeland Security and military, while the enterprises sector is subsegmented into Banking, Financial Services, and Insurance (BFSI), healthcare, and retail. Finally, on the basis of regions, the facial recognition market is segmented into North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America.

The report will help the market leaders and new entrants in the facial recognition market in the following ways:

  • 1. The report segments the market into various subsegments, hence it covers the market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across various industry verticals and regions.
  • 2. The report helps in understanding the overall growth of the market. It provides information on the key market drivers, restraints, challenges, and opportunities.
  • 3. The report helps in understanding the competitors better and gaining more insights to strengthen their position in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. MARKET SCOPE
  • 1.4. YEARS CONSIDERED FOR THE STUDY
  • 1.5. CURRENCY
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Breakdown of primaries
      • 2.1.2.2. Key industry insights
  • 2.2. MARKET SIZE ESTIMATION
  • 2.3. RESEARCH ASSUMPTIONS
  • 2.4. LIMITATIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE OPPORTUNITIES IN THE FACIAL RECOGNITION MARKET
  • 4.2. FACIAL RECOGNITION MARKET: TOP 3 TECHNOLOGIES
  • 4.3. FACIAL RECOGNITION MARKET, BY TECHNOLOGY AND REGION
  • 4.4. FACIAL RECOGNITION POTENTIAL
  • 4.5. LIFECYCLE ANALYSIS, BY REGION

5. MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1. INTRODUCTION
  • 5.2. APPROACHES TO FACE RECOGNITION PROBLEM
  • 5.3. FACIAL RECOGNITION USE CASES ACROSS VERTICALS
    • 5.3.1. USE CASE SCENARIO-1
    • 5.3.2. USE CASE SCENARIO-2
    • 5.3.3. USE CASE SCENARIO-3
    • 5.3.4. USE CASE SCENARIO-4
    • 5.3.5. USE CASE SCENARIO-5
    • 5.3.6. USE CASE SCENARIO-6
    • 5.3.7. USE CASE SCENARIO-7
  • 5.4. STANDARDS
    • 5.4.1. ANSI/INCITS (M1) 385-2004
    • 5.4.2. ISO SC37 19794-5
    • 5.4.3. ANSI/INCITS (M1) 379-2004
    • 5.4.4. ANSI/NIST-ITL 1-2000
    • 5.4.5. INCITS 398-2005
    • 5.4.6. INCITS 358-2002
  • 5.5. FIDO ALLIANCE
  • 5.6. PROCESS DESCRIPTION AND ALGORITHMS USED
  • 5.7. MARKET DYNAMICS
    • 5.7.1. DRIVERS
      • 5.7.1.1. Increased need for enhanced surveillance and monitoring at public places
      • 5.7.1.2. Increased awareness and need of facial recognition technology among the government
      • 5.7.1.3. Increasing applications in various industry sectors
    • 5.7.2. RESTRAINTS
      • 5.7.2.1. Incompatibility concerns
      • 5.7.2.2. Misinterpretation of faces or emotions
    • 5.7.3. OPPORTUNITIES
      • 5.7.3.1. Rising number of smart city projects across the world
      • 5.7.3.2. Increasing smartphone adoption
      • 5.7.3.3. Adoption of cloud-based technology solutions
    • 5.7.4. CHALLENGES
      • 5.7.4.1. Illumination problems

6. FACIAL RECOGNITION MARKET ANALYSIS, BY COMPONENT

  • 6.1. INTRODUCTION
  • 6.2. SOFTWARE TOOLS
    • 6.2.1. 2D FACIAL RECOGNITION
    • 6.2.2. 3D FACIAL RECOGNITION
    • 6.2.3. THERMAL FACE RECOGNITION
  • 6.3. SERVICES
    • 6.3.1. TRAINING AND CONSULTING SERVICES
    • 6.3.2. CLOUD-BASED FACIAL RECOGNITION SERVICES

7. FACIAL RECOGNITION MARKET ANALYSIS, BY TECHNOLOGY

  • 7.1. INTRODUCTION
    • 7.1.1. FACIAL RECOGNITION SOFTWARE AND SDK
    • 7.1.2. MIDDLEWARE
    • 7.1.3. DATABASES
    • 7.1.4. MODELING AND RESTRUCTURING
    • 7.1.5. ANALYTICS SOLUTION

8. FACIAL RECOGNITION MARKET ANALYSIS, BY USE CASE

  • 8.1. INTRODUCTION
  • 8.2. EMOTION RECOGNITION
  • 8.3. ATTENDANCE TRACKING AND MONITORING
  • 8.4. ACCESS CONTROL
  • 8.5. LAW ENFORCEMENT
  • 8.6. OTHERS

9. FACIAL RECOGNITION MARKET ANALYSIS, BY END-USER

  • 9.1. INTRODUCTION
  • 9.2. GOVERNMENT
    • 9.2.1. HOMELAND SECURITY
    • 9.2.2. MILITARY
  • 9.3. ENTERPRISES
    • 9.3.1. BANKING, FINANCIAL SERVICES, AND INSURANCE
    • 9.3.2. HEALTHCARE
    • 9.3.3. RETAIL
  • 9.4. OTHER END-USERS

10. GEOGRAPHIC ANALYSIS

  • 10.1. INTRODUCTION
    • 10.1.1. NORTH AMERICA
      • 10.1.1.1. North America, by country
        • 10.1.1.1.1. United States
        • 10.1.1.1.2. Canada
      • 10.1.1.2. North America, by component
      • 10.1.1.3. North America, by software tool
      • 10.1.1.4. North America, by service
      • 10.1.1.5. North America, by technology
      • 10.1.1.6. North America, by use case
      • 10.1.1.7. North America, by end-user
    • 10.1.2. EUROPE
      • 10.1.2.1. Europe, by country
        • 10.1.2.1.1. United Kingdom
        • 10.1.2.1.2. Germany
        • 10.1.2.1.3. France
        • 10.1.2.1.4. Rest of Europe
      • 10.1.2.2. Europe, by component
      • 10.1.2.3. Europe, by software tool
      • 10.1.2.4. Europe, by service
      • 10.1.2.5. Europe, by technology
      • 10.1.2.6. Europe, by use case
      • 10.1.2.7. Europe, by end-user
    • 10.1.3. ASIA PACIFIC
      • 10.1.3.1. Asia Pacific, by country
        • 10.1.3.1.1. China
        • 10.1.3.1.2. Japan
        • 10.1.3.1.3. South Korea
        • 10.1.3.1.4. Singapore
        • 10.1.3.1.5. Rest of Asia Pacific
      • 10.1.3.2. Asia Pacific, by component
      • 10.1.3.3. Asia Pacific, by software tool
      • 10.1.3.4. Asia Pacific, by service
      • 10.1.3.5. Asia Pacific, by technology
      • 10.1.3.6. Asia Pacific, by use case
      • 10.1.3.7. Asia Pacific, by end-user
    • 10.1.4. LATIN AMERICA
      • 10.1.4.1. Latin America, by country
        • 10.1.4.1.1. Brazil
        • 10.1.4.1.2. Mexico
        • 10.1.4.1.3. Rest of Latin America
      • 10.1.4.2. Latin America, by component
      • 10.1.4.3. Latin America, by software tool
      • 10.1.4.4. Latin America, by service
      • 10.1.4.5. Latin America, by technology
      • 10.1.4.6. Latin America, by use case
      • 10.1.4.7. Latin America, by end-user
    • 10.1.5. MIDDLE EAST AND AFRICA
      • 10.1.5.1. Middle East and Africa, by sub-region
        • 10.1.5.1.1. Middle East
        • 10.1.5.1.2. Africa
      • 10.1.5.2. Middle East and Africa, by component
      • 10.1.5.3. Middle East and Africa, by software tool
      • 10.1.5.4. Middle East and Africa, by service
      • 10.1.5.5. Middle East and Africa, by technology
      • 10.1.5.6. Middle East and Africa, by use case
      • 10.1.5.7. Middle East and Africa, by end-user

11. COMPANY PROFILES (Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*

  • 11.1. AWARE
  • 11.2. NEC
  • 11.3. AYONIX
  • 11.4. COGNITEC SYSTEMS
  • 11.5. KEYLEMON
  • 11.6. NVISO
  • 11.7. HERTA SECURITY
  • 11.8. TECHNO BRAIN
  • 11.9. NEUROTECHNOLOGY
  • 11.10. DAON
  • 11.11. ANIMETRICS
  • 11.12. 3M COMPANY
  • 11.13. IDEMIA
  • 11.14. GEMALTO

*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments might not be captured in case of unlisted companies.

12. APPENDIX

  • 12.1. INDUSTRY EXCERPTS
  • 12.2. DISCUSSION GUIDE
  • 12.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 12.4. AVAILABLE CUSTOMIZATIONS
  • 12.5. RELATED REPORTS
  • 12.6. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: UNITED STATES DOLLAR EXCHANGE RATE, 2014-2016
  • TABLE 2: GLOBAL FACIAL RECOGNITION MARKET SIZE AND GROWTH RATE, 2015-2022 (USD BILLION, Y-O-Y %)
  • TABLE 3: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 4: FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL, 2015-2022 (USD MILLION)
  • TABLE 5: 2D FACIAL RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 6: 2D FACIAL RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 7: 3D FACIAL RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 8: 3D FACIAL RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 9: THERMAL FACE RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 10: THERMAL FACE RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 11: FACIAL RECOGNITION MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
  • TABLE 12: TRAINING AND CONSULTING SERVICES: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 13: TRAINING AND CONSULTING SERVICES: FACIAL RECOGNITION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 14: CLOUD-BASED FACIAL RECOGNITION SERVICES: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 15: CLOUD-BASED FACIAL RECOGNITION SERVICES: FACIAL RECOGNITION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 16: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
  • TABLE 17: FACIAL RECOGNITION SOFTWARE AND SDK: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 18: MIDDLEWARE: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 19: DATABASES: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 20: MODELING AND RESTRUCTURING: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 21: ANALYTICS SOLUTION: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 22: FACIAL RECOGNITION MARKET SIZE, BY USE CASE, 2015-2022 (USD MILLION)
  • TABLE 23: EMOTION RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 24: ATTENDANCE TRACKING AND MONITORING: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 25: ACCESS CONTROL: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 26: LAW ENFORCEMENT: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 27: OTHERS: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 28: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • TABLE 29: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT, 2015-2022 (USD MILLION)
  • TABLE 30: HOMELAND SECURITY: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 31: MILITARY: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 32: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE, 2015-2022 (USD MILLION)
  • TABLE 33: BANKING, FINANCIAL SERVICES, AND INSURANCE: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 34: HEALTHCARE: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 35: RETAIL: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 36: OTHER END-USERS: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 37: FACIAL RECOGNITION MARKET SIZE, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 38: NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY COUNTRY, 2017-2022 (USD MILLION)
  • TABLE 39: NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2017-2022 (USD MILLION)
  • TABLE 40: NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL, 2017-2022 (USD MILLION)
  • TABLE 41: NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 42: NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 43: NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY USE CASE, 2017-2022 (USD MILLION)
  • TABLE 44: NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2017-2022 (USD MILLION)
  • TABLE 45: NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT, 2017-2022 (USD MILLION)
  • TABLE 46: NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE, 2017-2022 (USD MILLION)
  • TABLE 47: EUROPE: FACIAL RECOGNITION MARKET SIZE, BY COUNTRY, 2017-2022 (USD MILLION)
  • TABLE 48: EUROPE: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2017-2022 (USD MILLION)
  • TABLE 49: EUROPE: FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL, 2017-2022 (USD MILLION)
  • TABLE 50: EUROPE: FACIAL RECOGNITION MARKET SIZE, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 51: EUROPE: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 52: EUROPE: FACIAL RECOGNITION MARKET SIZE, BY USE CASE, 2017-2022 (USD MILLION)
  • TABLE 53: EUROPE: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2017-2022 (USD MILLION)
  • TABLE 54: EUROPE: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT, 2017-2022 (USD MILLION)
  • TABLE 55: EUROPE: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE, 2017-2022 (USD MILLION)
  • TABLE 56: ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY COUNTRY, 2017-2022 (USD MILLION)
  • TABLE 57: ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2017-2022 (USD MILLION)
  • TABLE 58: ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL, 2017-2022 (USD MILLION)
  • TABLE 59: ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 60: ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 61: ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY USE CASE, 2017-2022 (USD MILLION)
  • TABLE 62: ASIA-PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2017-2022 (USD MILLION)
  • TABLE 63: ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT, 2017-2022 (USD MILLION)
  • TABLE 64: ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE, 2017-2022 (USD MILLION)
  • TABLE 65: LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY COUNTRY, 2017-2022 (USD MILLION)
  • TABLE 66: LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2017-2022 (USD MILLION)
  • TABLE 67: LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL, 2017-2022 (USD MILLION)
  • TABLE 68: LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 69: LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 70: LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY USE CASE, 2017-2022 (USD MILLION)
  • TABLE 71: LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2017-2022 (USD MILLION)
  • TABLE 72: LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT, 2017-2022 (USD MILLION)
  • TABLE 73: LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE, 2017-2022 (USD MILLION)
  • TABLE 74: MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY SUB-REGION, 2017-2022 (USD MILLION)
  • TABLE 75: MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2017-2022 (USD MILLION)
  • TABLE 76: MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL, 2017-2022 (USD MILLION)
  • TABLE 77: MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 78: MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 79: MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY USE CASE, 2017-2022 (USD MILLION)
  • TABLE 80: MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2017-2022 (USD MILLION)
  • TABLE 81: MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT, 2017-2022 (USD MILLION)
  • TABLE 82: MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE, 2017-2022 (USD MILLION)

LIST OF FIGURES

  • FIGURE 1: GLOBAL FACIAL RECOGNITION MARKET: MARKET SEGMENTATION
  • FIGURE 2: REGIONAL SCOPE
  • FIGURE 3: FACIAL RECOGNITION MARKET: RESEARCH DESIGN
  • FIGURE 4: DATA TRIANGULATION
  • FIGURE 5: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 6: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 7: NORTH AMERICA IS ESTIMATED TO HAVE THE LARGEST MARKET SHARE IN 2017
  • FIGURE 8: FACIAL RECOGNITION MARKET SNAPSHOT, BY COMPONENT (2017-2022)
  • FIGURE 9: FACIAL RECOGNITION MARKET SNAPSHOT, BY SOFTWARE TOOL (2017 VS. 2022)
  • FIGURE 10: FACIAL RECOGNITION MARKET SNAPSHOT, BY SERVICE (2017 VS. 2022)
  • FIGURE 11: THE GLOBAL FACIAL RECOGNITION MARKET IS EXPECTED TO GROW SIGNIFICANTLY DURING THE FORECAST PERIOD
  • FIGURE 12: ANALYTICS SOLUTION SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 13: FACIAL RECOGNITION SOFTWARE AND SDK, AND NORTH AMERICA ARE ESTIMATED TO HOLD THE LARGEST MARKET SHARES IN THE FACIAL RECOGNITION MARKET IN 2017
  • FIGURE 14: ASIA PACIFIC IS EXPECTED TO HAVE THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 15: ASIA PACIFIC IS EXPECTED TO HAVE THE HIGHEST GROWTH RATE DURING THE FORECAST PERIOD
  • FIGURE 16: FACIAL RECOGNITION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 17: SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 18: 3D FACIAL RECOGNITION IS EXPECTED TO BE THE FASTEST-GROWING SOFTWARE TOOL DURING THE FORECAST PERIOD
  • FIGURE 19: CLOUD-BASED FACIAL RECOGNITION SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 20: ANALYTICS SOLUTION IS EXPECTED TO BE THE FASTEST-GROWING TECHNOLOGY IN THE FACIAL RECOGNITION MARKET
  • FIGURE 21: LAW ENFORCEMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE IN THE FACIAL RECOGNITION MARKET DURING THE FORECAST PERIOD
  • FIGURE 22: THE GOVERNMENT SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 23: MILITARY END-USER IS EXPECTED TO GROW AT A HIGHER CAGR IN THE FACIAL RECOGNITION MARKET
  • FIGURE 24: HEALTHCARE IS EXPECTED TO BE THE FASTEST-GROWING SEGMENT IN THE ENTERPRISES END-USER OF THE FACIAL RECOGNITION MARKET
  • FIGURE 25: ASIA PACIFIC IS PROJECTED TO GROW AT THE HIGHEST CAGR IN THE FACIAL RECOGNITION MARKET DURING THE FORECAST PERIOD
  • FIGURE 26: ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 27: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 28: SOFTWARE TOOLS SEGMENT IS EXPECTED TO GROW WITH LARGER MARKET SHARE IN NORTH AMERICA DURING THE FORECAST PERIOD
  • FIGURE 29: SOFTWARE TOOLS SEGMENT IS EXPECTED TO GROW WITH LARGER MARKET SHARE IN EUROPE DURING THE FORECAST PERIOD
  • FIGURE 30: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 31: SOFTWARE TOOLS SEGMENT IS EXPECTED TO GROW WITH LARGER MARKET SHARE IN ASIA-PACIFIC DURING THE FORECAST PERIOD
  • FIGURE 32: SOFTWARE TOOLS SEGMENT IS EXPECTED TO GROW WITH LARGER MARKET SHARE IN LATIN AMERICA DURING THE FORECAST PERIOD
  • FIGURE 33: SOFTWARE TOOLS SEGMENT IS EXPECTED TO GROW WITH LARGER MARKET SHARE IN MIDDLE EAST AND AFRICA DURING THE FORECAST PERIOD
  • FIGURE 34: AWARE: COMPANY SNAPSHOT
  • FIGURE 35: NEC CORPORATION: COMPANY SNAPSHOT
  • FIGURE 36: 3M COMPANY: COMPANY SNAPSHOT
  • FIGURE 37: GEMALTO: COMPANY SNAPSHOT
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