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市場調查報告書

臉部辨識的全球市場預測 2022年:各零組件、技術、使用案例 (感情認識,出席者追蹤、監測,存取控制,法律執行)、終端用戶、地區

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

出版商 MarketsandMarkets 商品編碼 271065
出版日期 內容資訊 英文 155 Pages
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臉部辨識的全球市場預測 2022年:各零組件、技術、使用案例 (感情認識,出席者追蹤、監測,存取控制,法律執行)、終端用戶、地區 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
出版日期: 2017年11月13日 內容資訊: 英文 155 Pages
簡介

全球臉部辨識的市場規模,預計2017年達40億5000萬美元,2022年達77億6000萬美元,以每年13.9%的年複合成長率 (CAGR) 擴大。市場成長的主要原因,是3D式臉部辨識軟體和分析工具的開發、利用增加,及在公共空間的監視體制強化的必要性等。預期各用途中的法律執行機關,各地區中的北美將有迅速的市場成長。

本報告提供全球臉部辨識 (臉部認證) 技術的市場相關分析,技術概要和市場基本結構、最新形勢,主要市場促進、阻礙因素,市場趨勢與今後的預測 (過去2年、今後6年份),各零件、各技術、各終端用戶、各地區的詳細趨勢,市場競爭的狀態,主要企業簡介等調查。

第1章 簡介

第2章 分析方法

第3章 摘要整理

第4章 重要考察

第5章 市場概要與產業趨勢

  • 簡介
  • 對臉部辨識的問題的方法
  • 各種產業的臉部辨識的使用案例:方案 (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)
  • 流程的概要,與使用的演算法
  • 市場動態
    • 促進因素
      • 在公共空間的監視、監測的需求擴大
      • 政府機關的臉部辨識技術的認識、需求增加
      • 各種產業的利用擴大
    • 阻礙因素
      • 互通性相關不安
      • 表情、感情的解釋錯誤
    • 市場機會
      • 全球各地的智慧城市、計劃的增加
      • 智慧型手機的普及率上升
      • 雲端基礎技術解決方案的引進
    • 課題
      • 照明的問題

第6章 臉部辨識市場分析:各零件

  • 簡介
  • 軟體工具
    • 二元 (2D) 臉部辨識
    • 三次元 (3D) 臉部辨識
    • 臉溫度認識
  • 服務
    • 訓練、諮詢服務
    • 雲端基礎臉部辨識服務

第7章 臉部辨識市場分析:各技術

  • 簡介
    • 臉部辨識軟體及SDK (軟體開發套件)
    • 中介軟體
    • 資料庫
    • 建模/重組
    • 分析解決方案

第8章 臉部辨識市場分析:使用案例

  • 簡介
  • 感情認識
  • 參加者追蹤、監測
  • 存取控制
  • 法律執行
  • 其他

第9章 臉部辨識市場分析:各終端用戶

  • 簡介
  • 政府機關
    • 國內安全保障
    • 軍事
  • 企業
    • 銀行、金融服務、保險 (BFSI)
    • 醫療
    • 零售業
  • 其他終端用戶

第10章 地區分析

  • 簡介
    • 北美 (美國,加拿大)
    • 歐洲 (英國,德國,法國等)
    • 亞太地區 (中國,日本,韓國,新加坡等)
    • 南美 (巴西,墨西哥等)
    • 中東、非洲

第11章 企業簡介

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

第12章 附錄

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目錄
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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