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Facial Recognition Market by Technology (2D Facial Recognition, 3D Facial Recognition and Facial Analytics), Component (Hardware and Software) and Application (Homeland Security, Criminal Investigation, ID Management, Physical Security, Intelligent Signage, Photo Indexing and Sorting, Business Intelligence and Photo Indexing and Sorting) - Global Opportunity Analysis and Industry Forecast, 2015 - 2022

June 2016 | 177 pages | ID: WAB5DD1DAEBEN
Allied Market Research

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Facial recognition is a biometric technology which is used for authentication and identification of individuals, by comparing the facial features from an image with the existing database. Facial recognition is expected to witness robust growth during the forecast period due to its increasing usage in both law enforcement and non-law enforcement applications. Moreover, facial recognition is widely preferred over other biometric technologies such as voice recognition, skin texture recognition, iris recognition and fingerprint scanning among others, due to its non-contact process and easy deployment (using cameras and existing monitoring devices). The technology is predominantly used for security purposes, but is now gaining wide popularity for advertising and marketing, as it enables the companies’ to deliver targeted messages to the consumers.
Increasing crime rate across the world has persuaded government agencies to look for cutting edge surveillance technology that can effectively address the growing concerns over security. Facial recognition has emerged as one such identification technologies, which addresses most of the security concerns in the most effective and fool proof manner. However, increasing sensitivity towards personal data privacy has hindered the expansion of market in certain regions. On the other hand, technically advanced facial recognition systems with application in mobile security, drones, and retail is likely to create greater opportunities in the years to come.

The market is segmented on the basis of technology, component, application, and geography. The technology segment is categorized into 2D facial recognition, 3D facial recognition and facial analytics. Among the mentioned technologies, 3D facial recognition technology segment holds significant share in the world facial recognition market owing to its high accuracy in terms of recognizing facial features as compared to the 2D facial recognition technology. The component segment is bifurcated into hardware (scanners, cameras, handheld devices, integrated devices) and software. The application segment includes homeland security, criminal investigation, ID management, physical security, intelligent signage, web application, business intelligence, photo indexing & sorting, and others (VIP recognition, automotive and phone, PC & banking login). In 2015, homeland security contributed the highest revenue share.

Based on geography, the facial recognition market is segmented into North America, Europe, Asia-Pacific, and LAMEA. North America is further bifurcated into the U.S., Mexico and Canada, whereas Europe has been further segmented into UK, Russia, Germany, Italy, France and Rest of the Europe. The countries covered under Asia-Pacific are China, India, Japan, South Korea, and Rest of Asia Pacific. LAMEA includes Latin America, Middle East and Africa.
Major companies profiled in the report include 3M, Cognitec Systems GmbH, NEC Corporation, FaceFirst, Inc., Nuance Communications Inc., Crossmatch, International Business Machines Corporation (IBM), Animetrics Inc. and Daon Inc.

POTENTIAL BENEFITS FOR STAKEHOLDERS
  • The report provides a comprehensive analysis of the world facial recognition market with current and future growth trends, driving factors, opportunities and challenges.
  • The report includes a comprehensive qualitative as well quantitative analysis of the key market segments, for the period 2015 – 2022.
  • Porters Five Forces analysis highlights the potential of buyers and suppliers as well as provides insights on the competitive structure of the market to devise effective growth strategies and facilitate better decision-making.
  • Value chain analysis provides key inputs on the role of stakeholders involved at various stages of the value chain.
  • SWOT analysis of the key market players highlights their strengths and weaknesses along with potential opportunities present in the market.
FACIAL RECOGNITION MARKET SEGMENTATION

The market is segmented on the basis of technology, component, application, and geography.
MARKET BY TECHNOLOGY
  • 2D facial recognition
  • 3D facial recognition
  • Facial analytics
MARKET BY COMPONENT
  • Hardware
    • Scanners
    • Cameras
    • Handheld devices
    • Integrated devices
  • Software
MARKET BY APPLICATION
  • Homeland security
  • Criminal investigation
  • ID management
  • Physical security
  • Intelligent signage
  • Web application
  • Business intelligence
  • Photo indexing and sorting
  • Others (VIP recognition, automotive and phone, PC & banking login)
MARKET BY GEOGRAPHY
  • North America
    • U.S.
    • Mexico
    • Canada
  • Europe
    • UK
    • Germany
    • Russia
    • Italy
    • France
    • Rest of the Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa
KEY PLAYERS
  • 3M
  • Cognitec Systems GmbH
  • NEC Corporation
  • FaceFirst, Inc.
  • Nuance Communications Inc.
  • Crossmatch
  • International Business Machines Corporation (IBM)
  • Animetrics Inc.
  • Daon Inc.
CHAPTER 1 INTRODUCTION

1.1 Report description
1.2 Key benefits
1.3 Key market segments
1.4 Research methodology
  1.4.1 Secondary research
  1.4.2 Primary research
  1.4.3 Analyst tools and models

CHAPTER 2 EXECUTIVE SUMMARY

2.1 CXO perspective

CHAPTER 3 MARKET OVERVIEW

3.1 Market definition and scope
3.2 Key findings
  3.2.1 Top impacting factors
  3.2.2 Top winning strategies
  3.2.3 Top investment pockets
3.3 Value chain analysis
3.4 Porters five forces analysis
3.5 Market share analysis, 2015
3.6 Drivers
  3.6.1 Rising demand for surveillance systems for enhancing safety and security
  3.6.2 Increasing application in physical security and intelligent signage
  3.6.3 Technology advancements such as cloud-based services and 3D based recognition systems
3.7 Restraints
  3.7.1 Increasing sensitivity towards shared personal data
  3.7.2 Lack of accuracy and high implementation cost of facial recognition technology
3.8 Opportunities
  3.8.1 Increasing application in mobile security and drones

CHAPTER 4 WORLD FACIAL RECOGNITION MARKET, BY TECHNOLOGY

4.1 Introduction
  4.1.1 Market size and forecast
4.2 3D facial recognition
  4.2.1 Key market trends
  4.2.2 Key drivers and opportunities
  4.2.3 Market size and forecast
4.3 2D facial recognition
  4.3.1 Key market trends
  4.3.2 Key drivers and opportunities
  4.3.3 Market size and forecast
4.4 Facial Analytics
  4.4.1 Key market trends
  4.4.2 Key drivers and opportunities
  4.4.3 Market size and forecast

CHAPTER 5 WORLD FACIAL RECOGNITION MARKET, BY COMPONENT

5.1 Introduction
  5.1.1 Market size and forecast
5.2 Hardware (scanners, cameras, handheld devices, integrated devices)
  5.2.1 Key market trends
  5.2.2 Key drivers and opportunities
  5.2.3 Market size and forecast
5.3 Hardware (scanners)
  5.3.1 Key market trends
  5.3.2 Key drivers and opportunities
  5.3.3 Market size and forecast
5.4 Hardware (cameras)
  5.4.1 Key market trends
  5.4.2 Key drivers and opportunities
  5.4.3 Market size and forecast
5.5 Hardware (handheld devices)
  5.5.1 Key market trends
  5.5.2 Key drivers and opportunities
  5.5.3 Market size and forecast
5.6 Hardware (integrated devices)
  5.6.1 Key market trends
  5.6.2 Key drivers and opportunities
  5.6.3 Market size and forecast
5.7 Software
  5.7.1 Key market trends
  5.7.2 Key drivers and opportunities
  5.7.3 Market size and forecast

CHAPTER 6 WORLD FACIAL RECOGNITION MARKET, BY APPLICATION

6.1 Introduction
  6.1.1 Market size and forecast
6.2 Homeland security
  6.2.2 Market size and forecast
6.3 Criminal Investigation
  6.3.2 Market size and forecast
6.4 ID management
  6.4.2 Market size and forecast
6.5 Physical security
  6.5.2 Market size and forecast
6.6 Intelligent signage
  6.6.2 Market size and forecast
6.7 Web application
  6.7.2 Market size and forecast
6.8 Business intelligence
  6.8.2 Market size and forecast
6.9 Photo indexing and sorting
  6.9.2 Market size and forecast
6.10 Others (VIP recognition, automotive and phone, PC & banking login)
  6.10.2 Market size and forecast

CHAPTER 7 WORLD FACIAL RECOGNITION MARKET, BY GEOGRAPHY

7.1 Introduction
7.2 North America
  7.2.1 Key market trends
  7.2.2 Key drivers and opportunities
  7.2.3 Market size and forecast
  7.2.4 U.S.
  7.2.5 Mexico
  7.2.6 Canada
7.3 Europe
  7.3.1 Key market trends
  7.3.2 Key drivers and opportunities
  7.3.3 Market size and forecast
  7.3.4 UK
  7.3.5 Germany
  7.3.6 Russia
  7.3.7 Italy
  7.3.8 France
  7.3.9 Rest of the Europe
7.4 Asia-Pacific
  7.4.1 Key market trends
  7.4.2 Key drivers and opportunities
  7.4.3 Market size and forecast
  7.4.4 China
  7.4.5 India
  7.4.6 Japan
  7.4.7 South Korea
  7.4.8 Taiwan
  7.4.9 Rest of Asia Pacific
7.5 LAMEA
  7.5.1 Key market trends
  7.5.2 Key drivers and opportunities
  7.5.3 Market size and forecast
  7.5.4 Latin America
  7.5.5 Middle East
  7.5.6 Africa

CHAPTER 8 COMPANY PROFILE

8.1 3M
  8.1.1 Company overview
  8.1.2 Company Snapshot
  8.1.3 Business performance
  8.1.4 Strategy move and development
  8.1.5 SWOT Analysis of 3M
8.2 Cognitec Systems GmbH
  8.2.1 Company overview
  8.2.2 Company Snapshot
  8.2.3 Strategy move and development
  8.2.4 SWOT Analysis of Cognitec Systems GmbH
8.3 NEC Corporation
  8.3.1 Company overview
  8.3.2 Company Snapshot
  8.3.3 Business performance
  8.3.4 Strategy move and development
  8.3.5 SWOT Analysis of NEC Corporation
8.4 FaceFirst, Inc.
  8.4.1 Company overview
  8.4.2 Company Snapshot
  8.4.3 Strategy move and development
  8.4.4 SWOT Analysis of FaceFirst Inc.
8.5 Nuance Communications Inc.
  8.5.1 Company overview
  8.5.2 Company Snapshot
  8.5.3 Business performance
  8.5.4 Strategy move and development
  8.5.5 SWOT Analysis of Nuance Communications Inc.
8.6 Crossmatch
  8.6.1 Company overview
  8.6.2 Company Snapshot
  8.6.3 Strategy move and development
  8.6.4 SWOT Analysis of Crossmatch
8.7 International Business Machines Corporation (IBM)
  8.7.1 Company overview
  8.7.2 Company Snapshot
  8.7.3 Business performance
  8.7.4 Strategy move and development
  8.7.5 SWOT Analysis of IBM Corporation
8.8 Animetrics
  8.8.1 Company overview
  8.8.2 Company Snapshot
  8.8.3 Strategic moves and developments
  8.8.4 SWOT Analysis of Animetrics, Inc.
8.9 Daon Inc.
  8.9.1 Company overview
  8.9.2 Company Snapshot
  8.9.3 Strategy move and development
  8.9.4 SWOT Analysis of Daon Inc.

LIST OF TABLES

TABLE 1 WORLD FACIAL RECOGNITION MARKET, BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 2 WORLD FACIAL RECOGNITION MARKET, BY TECHNOLOGY, 2015-2022 ($MILLION)
TABLE 3 WORLD 3D FACIAL RECOGNITION MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 4 WORLD 2D FACIAL RECOGNITION MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 5 WORLD FACIAL ANALYTICS MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 6 WORLD FACIAL RECOGNITION MARKET, BY COMPONENT, 2015-2022 ($MILLION)
TABLE 7 WORLD FACIAL RECOGNITION MARKET, BY HARDWARE (SCANNERS, CAMERA, HANDHELD DEVICES, INTEGRATED DEVICES), 2015-2022 ($MILLION)
TABLE 8 WORLD HARDWARE (SCANNERS) MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 9 WORLD HARDWRAE (CAMERAS) MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 10 WORLD HARDWRAE (HANDHELD DEVICES) MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 11 WORLD HARDWARE (INTEGRATED DEVICES) MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 12 WORLD SOFTWARE MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 13 WORLD FACIAL RECOGNITION MARKET, BY APPLICATION, 2015-2022 ($MILLION)
TABLE 14 WORLD HOMELAND SECURITY MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 15 WORLD CRIMINAL INVESTIGATION MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 16 WORLD ID MANAGEMENT MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 17 WORLD PHYSICAL SECURITY MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 18 WORLD INTELLIGENT SIGNAGE MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 19 WORLD WEB APPLICATION MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 20 WORLD BUSINESS INTELLIGENCE MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 21 WORLD PHOTO INDEXING AND SORTING MARKET BY GEOGRAPHY, 2015-2022 ($MILLION)
TABLE 22 WORLD OTHERS (VIP RECOGNITION, AUTOMOTIVE AND PHONE, PC & BANKING LOGIN) MARKET BY GEOGRAPHY, 2015-2022 ($MILLION) SHARE)
TABLE 23 NORTH AMERICA FACIAL RECOGNITION MARKET BY TECHNOLOGY, 2015-2022 ($MILLION)
TABLE 24 EUROPE FACIAL RECOGNITION MARKET BY TECHNOLOGY, 2015-2022 ($MILLION)
TABLE 25 ASIA-PACIFIC FACIAL RECOGNITION MARKET BY TECHNOLOGY, 2015-2022 ($MILLION)
TABLE 26 LAMEA FACIAL RECOGNITION MARKET BY TECHNOLOGY, 2015-2022 ($MILLION)
TABLE 27 3M CORPORATION SNAPSHOT
TABLE 28 COGNITEC SYSTEMS GMBH CORPORATION SNAPSHOT
TABLE 29 NEC CORPORATION SNAPSHOT
TABLE 30 FACEFIRST, INC. SNAPSHOT
TABLE 31 NUANCE COMMUNICATIONS INC. SNAPSHOT
TABLE 32 CROSSMATCH CORPORATION SNAPSHOT
TABLE 33 IBM CORPORATION SNAPSHOT
TABLE 34 ANIMETRICS, INC. CORPORATION SNAPSHOT
TABLE 35 DAON INC. SNAPSHOT

LIST OF FIGURES

FIG 1 TOP IMPACTING FACTORS
FIG 2 TOP WINNING STRATEGIES IN THE FACIAL RECOGNITION MARKET (2013-2016)
FIG 3 TOP WINNING STRATEGIES (%) (2013-2016)
FIG 4 TOP INVESTMENT POCKETS
FIG 5 VALUE CHAIN ANALYSIS OF FACIAL RECOGNITION MARKET
FIG 6 PORTERS FIVE FORCES ANALYSIS OF FACIAL RECOGNITION MARKET
FIG 7 MARKET SHARE ANALYSIS OF FACIAL RECOGNITION MARKET, 2015
FIG 8 NUMBER OF DATA BREACHES, 2009-2014
FIG 9 DATA BREACHES BY INDUSTRY SECTOR (%), 2014
FIG 10 WORLDWIDE BUDGET FOR DRONES, 2014 TO 2023 ($ MILLION)
FIG 11 WORLD FACIAL RECOGNITION MARKET REVENUE BY TECHNOLOGY, 2015 & 2022 (% SHARE)
FIG 12 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF 3D FACIAL RECOGNITION MARKET, 2015 & 2022 (%)
FIG 13 WORLD 3D FACIAL RECOGNITION MARKET REVENUE, 2015-2022 ($MILLION)
FIG 14 WORLD 3D FACIAL RECOGNITION MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 15 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF 2D FACIAL RECOGNITION MARKET, 2015 & 2022 (%)
FIG 16 WORLD 2D FACIAL RECOGNITION MARKET REVENUE, 2015-2022 ($MILLION)
FIG 17 WORLD 2D FACIAL RECOGNITION MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 18 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF FACIAL ANALYTICS MARKET, 2015 & 2022 (%)
FIG 19 WORLD FACIAL ANALYTICS MARKET REVENUE, 2015-2022 ($MILLION)
FIG 20 WORLD FACIAL ANALYTICS MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 21 WORLD FACIAL RECOGNITION MARKET REVENUE BY COMPONENT, 2015 & 2022 (% SHARE)
FIG 22 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD HARDWARE (SCANNERS, CAMERAS, HANDHELD DEVICES, INTEGRATED DEVICES) MARKET, 2015 & 2022 (%)
FIG 23 WORLD HARDWARE (SCANNERS, CAMERAS, HANDHELD DEVICES, INTEGRATED DEVICES) MARKET REVENUE, 2015-2022 ($MILLION)
FIG 24 WORLD HARDWARE (SCANNERS, CAMERA, HANDHELD DEVICES, INTEGRATED DEVICES), MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 25 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD HARDWARE (SCANNERS) MARKET, 2015 & 2022 (%)
FIG 26 WORLD HARDWARE (SCANNERS) MARKET REVENUE, 2015-2022 ($MILLION)
FIG 27 WORLD HARDWARE (SCANNERS), MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 28 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD HARDWARE (CAMERAS) MARKET, 2015 & 2022 (%)
FIG 29 WORLD HARDWARE (CAMERAS) MARKET REVENUE, 2015-2022 ($MILLION)
FIG 30 WORLD HARDWARE (CAMERA) MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 31 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD HARDWARE (HANDHELD DEVICES) MARKET, 2015 & 2022 (%)
FIG 32 WORLD HARDWARE (HANDHELD DEVICES) MARKET REVENUE, 2015-2022 ($MILLION)
FIG 33 WORLD HARDWARE (HANDHELD DEVICES) MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 34 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD HARDWARE (INTEGRATED DEVICES) MARKET, 2015 & 2022 (%)
FIG 35 WORLD HARDWARE (INTEGRATED DEVICES) MARKET REVENUE, 2015-2022 ($MILLION)
FIG 36 WORLD HARDWARE (INTEGRATED DEVICES), MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 37 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD SOFTWARE MARKET, 2015 & 2022 (%)
FIG 38 WORLD SOFTWARE MARKET REVENUE, 2015-2022 ($MILLION)
FIG 39 WORLD SOFTWARE MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 40 WORLD FACIAL RECOGNITION MARKET REVENUE BY APPLICATION, 2015 & 2022 (% SHARE)
FIG 41 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD HOMELAND SECURITY MARKET, 2015 & 2022 (%)
FIG 42 WORLD HOMELAND SECURITY MARKET REVENUE, 2015-2022 ($MILLION)
FIG 43 WORLD HOMELAND SECURITY MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 44 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD CRIMINAL INVESTIGATION MARKET, 2015 & 2022 (%)
FIG 45 WORLD CRIMINAL INVESTIGATION MARKET REVENUE, 2015-2022 ($MILLION)
FIG 46 WORLD CRIMINAL INVESTIGATION MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 47 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD ID MANAGEMNET MARKET, 2015 & 2022 (%)
FIG 48 WORLD ID MANAGEMENT MARKET REVENUE, 2015-2022 ($MILLION)
FIG 49 WORLD ID MANAGEMENT MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 50 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD PHYSICAL SECURITY MARKET, 2015 & 2022 (%)
FIG 51 WORLD PHYSICAL SECURITY MARKET REVENUE, 2015-2022 ($MILLION)
FIG 52 WORLD PHYSICAL SECURITY MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 53 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD INTELLIGENT SIGNAGE MARKET, 2015 & 2022 (%)
FIG 54 WORLD INTELLIGENT SIGNAGE MARKET REVENUE, 2015-2022 ($MILLION)
FIG 55 WORLD INTELLIGENT SIGNAGE MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 56 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD WEB APPLICATION MARKET, 2015 & 2022 (%)
FIG 57 WORLD WEB APPLICATION MARKET REVENUE, 2015-2022 ($MILLION)
FIG 58 WORLD WEB APPLICATION MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 59 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD BUSINESS INTELLIGENCE MARKET, 2015 & 2022 (%)
FIG 60 WORLD BUSINESS INTELLIGENCE MARKET REVENUE, 2015-2022 ($MILLION)
FIG 61 WORLD BUSINESS INTELLIGENCE MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 62 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD PHOTO INDEXING AND SORTING MARKET, 2015 & 2022 (%)
FIG 63 WORLD PHOTO INDEXING AND SORTING MARKET REVENUE, 2015-2022 ($MILLION)
FIG 64 WORLD PHOTO INDEXING AND SORTING MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 65 COMPARITIVE REGIONAL MARKET SHARE ANALYSIS OF WORLD OTHERS (VIP RECOGNITION, AUTOMOTIVE AND PHONE, PC & BANKING LOGIN) MARKET, 2015 & 2022 (%)
FIG 66 WORLD OTHERS (VIP RECOGNITION, AUTOMOTIVE AND PHONE, PC & BANKING LOGIN) MARKET REVENUE, 2015-2022 ($MILLION)
FIG 67 WORLD OTHERS (VIP RECOGNITION, AUTOMOTIVE AND PHONE, PC & BANKING LOGIN) MARKET SHARE ANALYSIS BY GEOGRAPHY, 2015-2022 (%)
FIG 68 WORLD FACIAL RECOGNITION MARKET REVENUE BY GEOGRAPHY, 2015 & 2022 (% SHARE)
FIG 69 NORTH AMERICA FACIAL RECOGNITION MARKET BY COUNTRY, 2015 (% SHARE)
FIG 70 NORTH AMERICA FACIAL RECOGNITION MARKET REVENUE BY TECHNOLOGY, 2015 & 2022 (% SHARE)
FIG 71 U.S. FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 72 MEXICO FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 73 CANADA FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 74 EUROPE FACIAL RECOGNITION MARKET BY COUNTRY, 2015 (% SHARE)
FIG 75 EUROPE FACIAL RECOGNITION MARKET REVENUE BY TECHNOLOGY, 2015 & 2022 (% SHARE)
FIG 76 UK FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 77 GERMANY FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 78 RUSSIA FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 79 ITALY FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 80 FRANCE FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 81 REST OF THE EUROPE FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 82 ASIA-PACIFIC FACIAL RECOGNITION MARKET BY COUNTRY, 2015 (% SHARE)
FIG 83 ASIA-PACIFIC FACIAL RECOGNITION MARKET REVENUE BY TECHNOLOGY, 2015 & 2022 (% SHARE)
FIG 84 CHINA FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 85 INDIA FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 86 FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 87 SOUTH KOREA FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 88 REST OF ASIA-PACIFIC FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 89 LAMEA FACIAL RECOGNITION MARKET BY COUNTRY, 2015 (% SHARE)
FIG 90 LAMEA FACIAL RECOGNITION MARKET REVENUE BY TECHNOLOGY, 2015 & 2022 (% SHARE)
FIG 91 LATIN AMERICA FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 92 MIDDLE EAST FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 93 AFRICA FACIAL RECOGNITION MARKET, 2015-2022 ($MILLION)
FIG 94 REVENUE OF 3M, 20132015 ($MILLION)
FIG 95 REVENUE OF 3M, BY SEGMENT (%), 2015
FIG 96 REVENUE OF 3M, BY GEOGRAPHY (%), 2015
FIG 97 SWOT ANALYSIS OF 3M
FIG 98 NET SALES OF NEC CORPORATION, 20132015 ($MILLION)
FIG 99 NET SALES OF NEC CORPORATION, BY SEGMENT (%), 2015
FIG 100 SWOT ANALYSIS OF NEC CORPORATION
FIG 101 SWOT ANALYSIS OF FACEFIRST INC.
FIG 102 REVENUE OF NUANCE COMMUNICATIONS INC., 20132015 ($MILLION)
FIG 103 REVENUE OF NUANCE COMMUNICATIONS INC., BY SEGMENT (%), 2015
FIG 104 REVENUE OF NUANCE COMMUNICATIONS INC., BY GEOGRAPHY (%), 2015
FIG 105 SWOT ANALYSIS OF NUANCE COMMUNICATIONS INC.
FIG 106 SWOT ANALYSIS OF CROSSMATCH
FIG 107 REVENUE OF IBM CORPORATION, 20132015 ($MILLION)
FIG 108 REVENUE OF IBM CORPORATION, BY SEGMENT (%), 2015
FIG 109 REVENUE OF IBM CORPORATION, BY GEOGRAPHY (%), 2015
FIG 110 SWOT ANALYSIS OF IBM CORPORATION
FIG 111 SWOT ANALYSIS OF ANIMETRICS, INC.
FIG 112 SWOT ANALYSIS OF DAON INC.


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