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◆英語タイトル: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
◆商品コード:MAM-TC-3421
◆発行会社(調査会社):MarketsandMarkets
◆発行日:2017年11月13日
◆ページ数:155
◆レポート言語:英語
◆レポート形式:PDF
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◆調査対象地域:グローバル
◆産業分野:IT
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Corporate License (全社内共有可)USD9,650 ⇒換算¥1,080,800見積依頼/購入/質問フォーム
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【レポートの概要】

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.

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 16
1.1 OBJECTIVES OF THE STUDY 16
1.2 MARKET DEFINITION 16
1.3 MARKET SCOPE 17
1.4 YEARS CONSIDERED FOR THE STUDY 18
1.5 CURRENCY 18
1.6 STAKEHOLDERS 19
2 RESEARCH METHODOLOGY 20
2.1 RESEARCH DATA 20
2.1.1 SECONDARY DATA 21
2.1.2 PRIMARY DATA 21
2.1.2.1 Breakdown of primaries 21
2.1.2.2 Key industry insights 22
2.2 MARKET SIZE ESTIMATION 23
2.3 RESEARCH ASSUMPTIONS 25
2.4 LIMITATIONS 25
3 EXECUTIVE SUMMARY 26
4 PREMIUM INSIGHTS 30
4.1 ATTRACTIVE OPPORTUNITIES IN THE FACIAL RECOGNITION MARKET 30
4.2 FACIAL RECOGNITION MARKET: TOP 3 TECHNOLOGIES 30
4.3 FACIAL RECOGNITION MARKET, BY TECHNOLOGY AND REGION 31
4.4 FACIAL RECOGNITION POTENTIAL 31
4.5 LIFECYCLE ANALYSIS, BY REGION 32
5 MARKET OVERVIEW AND INDUSTRY TRENDS 33
5.1 INTRODUCTION 33
5.2 APPROACHES TO FACE RECOGNITION PROBLEM 33
5.3 FACIAL RECOGNITION USE CASES ACROSS VERTICALS 34
5.3.1 USE CASE SCENARIO-1 34
5.3.2 USE CASE SCENARIO-2 34
5.3.3 USE CASE SCENARIO-3 34
5.3.4 USE CASE SCENARIO-4 35
5.3.5 USE CASE SCENARIO-5 35
5.3.6 USE CASE SCENARIO-6 35
5.3.7 USE CASE SCENARIO-7 35
5.4 STANDARDS 35
5.4.1 ANSI/INCITS (M1) 385-2004 36
5.4.2 ISO SC37 19794-5 36
5.4.3 ANSI/INCITS (M1) 379-2004 36
5.4.4 ANSI/NIST-ITL 1-2000 36
5.4.5 INCITS 398-2005 36
5.4.6 INCITS 358-2002 36
5.5 FIDO ALLIANCE 36
5.6 PROCESS DESCRIPTION AND ALGORITHMS USED 37
5.7 MARKET DYNAMICS 38
5.7.1 DRIVERS 38
5.7.1.1 Increased need for enhanced surveillance and monitoring at public places 38
5.7.1.2 Increased awareness and need of facial recognition technology among the government 39
5.7.1.3 Increasing applications in various industry sectors 39
5.7.2 RESTRAINTS 39
5.7.2.1 Incompatibility concerns 39
5.7.2.2 Misinterpretation of faces or emotions 40
5.7.3 OPPORTUNITIES 40
5.7.3.1 Rising number of smart city projects across the world 40
5.7.3.2 Increasing smartphone adoption 40
5.7.3.3 Adoption of cloud-based technology solutions 41
5.7.4 CHALLENGES 41
5.7.4.1 Illumination problems 41
6 FACIAL RECOGNITION MARKET ANALYSIS, BY COMPONENT 42
6.1 INTRODUCTION 43
6.2 SOFTWARE TOOLS 44
6.2.1 2D FACIAL RECOGNITION 45
6.2.2 3D FACIAL RECOGNITION 46
6.2.3 THERMAL FACE RECOGNITION 47
6.3 SERVICES 48
6.3.1 TRAINING AND CONSULTING SERVICES 49
6.3.2 CLOUD-BASED FACIAL RECOGNITION SERVICES 50
7 FACIAL RECOGNITION MARKET ANALYSIS, BY TECHNOLOGY 52
7.1 INTRODUCTION 53
7.1.1 FACIAL RECOGNITION SOFTWARE AND SDK 54
7.1.2 MIDDLEWARE 54
7.1.3 DATABASES 55
7.1.4 MODELING AND RESTRUCTURING 55
7.1.5 ANALYTICS SOLUTION 56
8 FACIAL RECOGNITION MARKET ANALYSIS, BY USE CASE 57
8.1 INTRODUCTION 58
8.2 EMOTION RECOGNITION 59
8.3 ATTENDANCE TRACKING AND MONITORING 60
8.4 ACCESS CONTROL 61
8.5 LAW ENFORCEMENT 61
8.6 OTHERS 62
9 FACIAL RECOGNITION MARKET ANALYSIS, BY END-USER 64
9.1 INTRODUCTION 65
9.2 GOVERNMENT 66
9.2.1 HOMELAND SECURITY 67
9.2.2 MILITARY 67
9.3 ENTERPRISES 68
9.3.1 BANKING, FINANCIAL SERVICES, AND INSURANCE 69
9.3.2 HEALTHCARE 70
9.3.3 RETAIL 70
9.4 OTHER END-USERS 71
10 GEOGRAPHIC ANALYSIS 73
10.1 INTRODUCTION 74
10.1.1 NORTH AMERICA 76
10.1.1.1 North America, by country 78
10.1.1.1.1 United States 78
10.1.1.1.2 Canada 79
10.1.1.2 North America, by component 79
10.1.1.3 North America, by software tool 80
10.1.1.4 North America, by service 80
10.1.1.5 North America, by technology 81
10.1.1.6 North America, by use case 81
10.1.1.7 North America, by end-user 82
10.1.2 EUROPE 83
10.1.2.1 Europe, by country 84
10.1.2.1.1 United Kingdom 84
10.1.2.1.2 Germany 85
10.1.2.1.3 France 85
10.1.2.1.4 Rest of Europe 85
10.1.2.2 Europe, by component 86
10.1.2.3 Europe, by software tool 86
10.1.2.4 Europe, by service 86
10.1.2.5 Europe, by technology 87
10.1.2.6 Europe, by use case 87
10.1.2.7 Europe, by end-user 88
10.1.3 ASIA PACIFIC 89
10.1.3.1 Asia Pacific, by country 90
10.1.3.1.1 China 90
10.1.3.1.2 Japan 91
10.1.3.1.3 South Korea 91
10.1.3.1.4 Singapore 91
10.1.3.1.5 Rest of Asia Pacific 92
10.1.3.2 Asia Pacific, by component 92
10.1.3.3 Asia Pacific, by software tool 92
10.1.3.4 Asia Pacific, by service 93
10.1.3.5 Asia Pacific, by technology 93
10.1.3.6 Asia Pacific, by use case 94
10.1.3.7 Asia Pacific, by end-user 94
10.1.4 LATIN AMERICA 95
10.1.4.1 Latin America, by country 96
10.1.4.1.1 Brazil 96
10.1.4.1.2 Mexico 97
10.1.4.1.3 Rest of Latin America 97
10.1.4.2 Latin America, by component 97
10.1.4.3 Latin America, by software tool 97
10.1.4.4 Latin America, by service 98
10.1.4.5 Latin America, by technology 98
10.1.4.6 Latin America, by use case 99
10.1.4.7 Latin America, by end-user 99
10.1.5 MIDDLE EAST AND AFRICA 101
10.1.5.1 Middle East and Africa, by sub-region 101
10.1.5.1.1 Middle East 102
10.1.5.1.2 Africa 102
10.1.5.2 Middle East and Africa, by component 102
10.1.5.3 Middle East and Africa, by software tool 102
10.1.5.4 Middle East and Africa, by service 103
10.1.5.5 Middle East and Africa, by technology 103
10.1.5.6 Middle East and Africa, by use case 104
10.1.5.7 Middle East and Africa, by end-user 104

11 COMPANY PROFILES 106
(Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
11.1 AWARE 106
11.2 NEC 109
11.3 AYONIX 113
11.4 COGNITEC SYSTEMS 116
11.5 KEYLEMON 119
11.6 NVISO 121
11.7 HERTA SECURITY 123
11.8 TECHNO BRAIN 125
11.9 NEUROTECHNOLOGY 127
11.10 DAON 130
11.11 ANIMETRICS 133
11.12 3M COMPANY 135
11.13 IDEMIA 138
11.14 GEMALTO 141
*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments might not be captured in case of unlisted companies.

12 APPENDIX 144
12.1 INDUSTRY EXCERPTS 144
12.2 DISCUSSION GUIDE 145
12.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 150
12.4 AVAILABLE CUSTOMIZATIONS 152
12.5 RELATED REPORTS 152
12.6 AUTHOR DETAILS 153

LIST OF TABLES

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2014–2016 19
TABLE 2 GLOBAL FACIAL RECOGNITION MARKET SIZE AND GROWTH RATE,
2015–2022 (USD BILLION, Y-O-Y %) 27
TABLE 3 FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 43
TABLE 4 FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL,
2015–2022 (USD MILLION) 44
TABLE 5 2D FACIAL RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 45
TABLE 6 2D FACIAL RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 45
TABLE 7 3D FACIAL RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 46
TABLE 8 3D FACIAL RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 46
TABLE 9 THERMAL FACE RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 47
TABLE 10 THERMAL FACE RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 47
TABLE 11 FACIAL RECOGNITION MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 48
TABLE 12 TRAINING AND CONSULTING SERVICES: FACIAL RECOGNITION MARKET SIZE,
BY END-USER, 2015–2022 (USD MILLION) 49
TABLE 13 TRAINING AND CONSULTING SERVICES: FACIAL RECOGNITION MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 49
TABLE 14 CLOUD-BASED FACIAL RECOGNITION SERVICES: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 50
TABLE 15 CLOUD-BASED FACIAL RECOGNITION SERVICES: FACIAL RECOGNITION MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 51
TABLE 16 FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2015–2022 (USD MILLION) 53
TABLE 17 FACIAL RECOGNITION SOFTWARE AND SDK: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 54
TABLE 18 MIDDLEWARE: FACIAL RECOGNITION MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 55
TABLE 19 DATABASES: FACIAL RECOGNITION MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 55
TABLE 20 MODELING AND RESTRUCTURING: FACIAL RECOGNITION MARKET SIZE,
BY END-USER, 2015–2022 (USD MILLION) 56
TABLE 21 ANALYTICS SOLUTION: FACIAL RECOGNITION MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 56
TABLE 22 FACIAL RECOGNITION MARKET SIZE, BY USE CASE, 2015–2022 (USD MILLION) 59
TABLE 23 EMOTION RECOGNITION: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 60
TABLE 24 ATTENDANCE TRACKING AND MONITORING: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 60
TABLE 25 ACCESS CONTROL: FACIAL RECOGNITION MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 61
TABLE 26 LAW ENFORCEMENT: FACIAL RECOGNITION MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 62
TABLE 27 OTHERS: FACIAL RECOGNITION MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 63
TABLE 28 FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 65
TABLE 29 FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT,
2015–2022 (USD MILLION) 66
TABLE 30 HOMELAND SECURITY: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 67
TABLE 31 MILITARY: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 68
TABLE 32 FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE, 2015–2022 (USD MILLION) 69
TABLE 33 BANKING, FINANCIAL SERVICES, AND INSURANCE: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION) 69
TABLE 34 HEALTHCARE: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 70
TABLE 35 RETAIL: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 71
TABLE 36 OTHER END-USERS: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 72
TABLE 37 FACIAL RECOGNITION MARKET SIZE, BY REGION, 2017–2022 (USD MILLION) 75
TABLE 38 NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY COUNTRY,
2017–2022 (USD MILLION) 78
TABLE 39 NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT,
2017–2022 (USD MILLION) 79
TABLE 40 NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL, 2017–2022 (USD MILLION) 80
TABLE 41 NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY SERVICE,
2017–2022 (USD MILLION) 80
TABLE 42 NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY,
2017–2022 (USD MILLION) 81
TABLE 43 NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY USE CASE,
2017–2022 (USD MILLION) 81
TABLE 44 NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY END-USER,
2017–2022 (USD MILLION) 82
TABLE 45 NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT,
2017–2022 (USD MILLION) 82
TABLE 46 NORTH AMERICA: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE,
2017–2022 (USD MILLION) 83
TABLE 47 EUROPE: FACIAL RECOGNITION MARKET SIZE, BY COUNTRY,
2017–2022 (USD MILLION) 84
TABLE 48 EUROPE: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT,
2017–2022 (USD MILLION) 86
TABLE 49 EUROPE: FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL,
2017–2022 (USD MILLION) 86
TABLE 50 EUROPE: FACIAL RECOGNITION MARKET SIZE, BY SERVICE,
2017–2022 (USD MILLION) 87
TABLE 51 EUROPE: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY,
2017–2022 (USD MILLION) 87
TABLE 52 EUROPE: FACIAL RECOGNITION MARKET SIZE, BY USE CASE,
2017–2022 (USD MILLION) 87
TABLE 53 EUROPE: FACIAL RECOGNITION MARKET SIZE, BY END-USER,
2017–2022 (USD MILLION) 88
TABLE 54 EUROPE: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT,
2017–2022 (USD MILLION) 88
TABLE 55 EUROPE: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE,
2017–2022 (USD MILLION) 88
TABLE 56 ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY COUNTRY,
2017–2022 (USD MILLION) 90
TABLE 57 ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT,
2017–2022 (USD MILLION) 92
TABLE 58 ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL,
2017–2022 (USD MILLION) 93
TABLE 59 ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY SERVICE,
2017–2022 (USD MILLION) 93
TABLE 60 ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY,
2017–2022 (USD MILLION) 93
TABLE 61 ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY USE CASE,
2017–2022 (USD MILLION) 94
TABLE 62 ASIA-PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY END-USER,
2017–2022 (USD MILLION) 94
TABLE 63 ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT,
2017–2022 (USD MILLION) 95
TABLE 64 ASIA PACIFIC: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE,
2017–2022 (USD MILLION) 95
TABLE 65 LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY COUNTRY,
2017–2022 (USD MILLION) 96
TABLE 66 LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT,
2017–2022 (USD MILLION) 97
TABLE 67 LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY SOFTWARE TOOL,
2017–2022 (USD MILLION) 97
TABLE 68 LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY SERVICE,
2017–2022 (USD MILLION) 98
TABLE 69 LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY,
2017–2022 (USD MILLION) 98
TABLE 70 LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY USE CASE,
2017–2022 (USD MILLION) 99
TABLE 71 LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY END-USER,
2017–2022 (USD MILLION) 99
TABLE 72 LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT,
2017–2022 (USD MILLION) 100
TABLE 73 LATIN AMERICA: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE,
2017–2022 (USD MILLION) 100
TABLE 74 MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY SUB-REGION, 2017–2022 (USD MILLION) 101
TABLE 75 MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY COMPONENT, 2017–2022 (USD MILLION) 102
TABLE 76 MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE,
BY SOFTWARE TOOL, 2017–2022 (USD MILLION) 102
TABLE 77 MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY SERVICE, 2017–2022 (USD MILLION) 103
TABLE 78 MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2017–2022 (USD MILLION) 103
TABLE 79 MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY USE CASE, 2017–2022 (USD MILLION) 104
TABLE 80 MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY END-USER, 2017–2022 (USD MILLION) 104
TABLE 81 MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY GOVERNMENT, 2017–2022 (USD MILLION) 105
TABLE 82 MIDDLE EAST AND AFRICA: FACIAL RECOGNITION MARKET SIZE, BY ENTERPRISE, 2017–2022 (USD MILLION) 105


LIST OF FIGURES

FIGURE 1 GLOBAL FACIAL RECOGNITION MARKET: MARKET SEGMENTATION 17
FIGURE 2 REGIONAL SCOPE 18
FIGURE 3 FACIAL RECOGNITION MARKET: RESEARCH DESIGN 20
FIGURE 4 DATA TRIANGULATION 23
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 24
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 24
FIGURE 7 NORTH AMERICA IS ESTIMATED TO HAVE THE LARGEST MARKET SHARE IN 2017 28
FIGURE 8 FACIAL RECOGNITION MARKET SNAPSHOT, BY COMPONENT (2017–2022) 28
FIGURE 9 FACIAL RECOGNITION MARKET SNAPSHOT, BY SOFTWARE TOOL (2017 VS. 2022) 29
FIGURE 10 FACIAL RECOGNITION MARKET SNAPSHOT, BY SERVICE (2017 VS. 2022) 29
FIGURE 11 THE GLOBAL FACIAL RECOGNITION MARKET IS EXPECTED TO GROW SIGNIFICANTLY DURING THE FORECAST PERIOD 30
FIGURE 12 ANALYTICS SOLUTION SEGMENT IS EXPECTED TO GROW AT THE HIGHEST
CAGR DURING THE FORECAST PERIOD 30
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 31
FIGURE 14 ASIA PACIFIC IS EXPECTED TO HAVE THE HIGHEST CAGR DURING THE FORECAST PERIOD 31
FIGURE 15 ASIA PACIFIC IS EXPECTED TO HAVE THE HIGHEST GROWTH RATE DURING
THE FORECAST PERIOD 32
FIGURE 16 FACIAL RECOGNITION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES,
AND CHALLENGES 38
FIGURE 17 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING
THE FORECAST PERIOD 43
FIGURE 18 3D FACIAL RECOGNITION IS EXPECTED TO BE THE FASTEST-GROWING SOFTWARE TOOL DURING THE FORECAST PERIOD 44
FIGURE 19 CLOUD-BASED FACIAL RECOGNITION SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 48
FIGURE 20 ANALYTICS SOLUTION IS EXPECTED TO BE THE FASTEST-GROWING TECHNOLOGY IN THE FACIAL RECOGNITION MARKET 53
FIGURE 21 LAW ENFORCEMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE IN THE FACIAL RECOGNITION MARKET DURING THE FORECAST PERIOD 58
FIGURE 22 THE GOVERNMENT SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 65
FIGURE 23 MILITARY END-USER IS EXPECTED TO GROW AT A HIGHER CAGR IN THE FACIAL RECOGNITION MARKET 66
FIGURE 24 HEALTHCARE IS EXPECTED TO BE THE FASTEST-GROWING SEGMENT IN THE ENTERPRISES END-USER OF THE FACIAL RECOGNITION MARKET 68
FIGURE 25 ASIA PACIFIC IS PROJECTED TO GROW AT THE HIGHEST CAGR IN THE FACIAL RECOGNITION MARKET DURING THE FORECAST PERIOD 74
FIGURE 26 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING
THE FORECAST PERIOD 75
FIGURE 27 NORTH AMERICA: MARKET SNAPSHOT 77
FIGURE 28 SOFTWARE TOOLS SEGMENT IS EXPECTED TO GROW WITH LARGER MARKET SHARE IN NORTH AMERICA DURING THE FORECAST PERIOD 78
FIGURE 29 SOFTWARE TOOLS SEGMENT IS EXPECTED TO GROW WITH LARGER MARKET SHARE IN EUROPE DURING THE FORECAST PERIOD 84
FIGURE 30 ASIA PACIFIC: MARKET SNAPSHOT 89
FIGURE 31 SOFTWARE TOOLS SEGMENT IS EXPECTED TO GROW WITH LARGER MARKET SHARE IN ASIA-PACIFIC DURING THE FORECAST PERIOD 90
FIGURE 32 SOFTWARE TOOLS SEGMENT IS EXPECTED TO GROW WITH LARGER MARKET SHARE IN LATIN AMERICA DURING THE FORECAST PERIOD 96
FIGURE 33 SOFTWARE TOOLS SEGMENT IS EXPECTED TO GROW WITH LARGER MARKET SHARE IN MIDDLE EAST AND AFRICA DURING THE FORECAST PERIOD 101
FIGURE 34 AWARE: COMPANY SNAPSHOT 106
FIGURE 35 NEC CORPORATION: COMPANY SNAPSHOT 109
FIGURE 36 3M COMPANY: COMPANY SNAPSHOT 135
FIGURE 37 GEMALTO: COMPANY SNAPSHOT 141


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