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  4. > Biometrics for Mobile Devices: Fingerprint Recognition, Voice Recognition, Facial Recognition, and Other Biometric Modalities for Identification and Authentication Applications - Global Market Analysis and Forecasts

Biometrics for mobile devices have finally reached a tipping point. The march began with the release of the Apple iPhone in 2007 and later the iPad, each subsequently matched by Android competitors. These smartphones and tablets finally have enough processing power and hardware capabilities to put biometrics directly into their users’ hands. Biometrics, whether for mobile devices or large stationary systems, typically perform one of two functions: authentication, proving that someone is who they claim to be, or identification, figuring out who someone is. Nearly all consumer-facing use cases are authentication and nearly all identification uses are enterprise-facing, especially government use cases. Somewhere in the middle, financial institutions are offering their users the chance to authenticate to online banking systems with their voices or with their eyes, in place of keying a personal identification number (PIN).

Tractica’s research indicates that the two dominant industries in the mobile biometrics market are finance and government. For finance, the online banking uses cases are one driver. Another is using a biometric authentication in addition to a PIN for high-value or sensitive transactions. Government applications include identifying people from national fingerprint databases. Other industries include healthcare, where biometrics can authenticate caregivers and identify patients. Starting from a base of $249 million 2015, global mobile biometrics revenue is forecast to reach $3.5 billion by 2024, with cumulative revenue for the 10-year period totaling $17.5 billion.

This Tractica report examines the market trends and technology issues surrounding biometrics for mobile devices and presents 10-year forecasts for mobile device biometric hardware and software during the period from 2015 through 2024. Biometric modalities and applications are analyzed in depth, and the report also includes detailed profiles of 25 key industry players. Market forecasts, segmented by world region, include mobile biometric hardware unit shipments, device pricing and revenue, software application licenses, application pricing, and application revenue.

Table Of Contents

Biometrics for Mobile Devices: Fingerprint Recognition, Voice Recognition, Facial Recognition, and Other Biometric Modalities for Identification and Authentication Applications - Global Market Analysis and Forecasts
SECTION 1 1
Executive Summary 1
1.1 Introduction 1
1.2 Market and Trends 1
1.3 Market Forecast . 2
SECTION 2 4
Market Issues . 4
2.1 Scope of This Report .. 4
2.1.1 Mobile Devices 4
2.1.2 Biometrics .. 4
2.2 Use of Biometrics .. 5
2.2.1 Identification versus Authentication .. 5
2.2.2 Multiple-factor Authentication .. 5
2.2.3 Biometrics and Passwords 6
2.2.4 Generalized Use Cases . 7
2.3 Business Model .. 8
2.3.1 Incremental Value at Each Level of the Value Chain .. 8
2.3.2 How Mobile Operators View the Opportunity .. 8
2.3.3 Integrating Biometrics into Existing Business Models . 9
2.3.4 Targeting Specific Industries 9
2.4 Market Drivers .. 10
2.4.1 Improved User Experiences .. 10
2.4.2 Improved Security via More Reliable Authentication . 10
2.4.3 Harder to Spoof, Remote Attacks More Difficult . 10
2.4.4 Decreasing Costs 11
2.4.5 Enabling Government Services 11
2.5 Market Barriers . 11
2.5.1 Cost to Implement and Own .. 11
2.5.2 Aversion to Change 12
2.5.3 Consumer Acceptance of Biometrics 12
2.5.4 Regulatory Requirements 13
2.5.5 Patent Protections .. 13
2.6 Regulatory Issues .. 14
2.6.1 Personal Data Privacy .. 14
2.6.2 Healthcare Information Privacy 14
2.6.3 Financial Industry Privacy .. 14
2.6.4 Cultural Issues .. 15
2.7 Key Industries 15
2.7.1 Financial .. 15
2.7.2 Government / Defense . 15
2.7.3 Healthcare .. 16
2.7.4 Non-government Organizations .. 17
2.8 Key Applications .. 17
2.8.1 Identification .. 17
2.8.2 Security Authentication . 17
2.8.3 Access Control . 17
2.8.4 Control Systems .. 18
2.8.5 Contact Centers .. 18
2.8.6 Time and Attendance / Presence 18
2.8.7 Immigration . 18
2.8.8 Payments and Commerce .. 19
2.8.9 Law Enforcement 19
2.9 Regional Differences . 19
2.10 Professional Services 20
SECTION 3 . 21
Technology Issues 21
3.1 Architectural Issues 21
3.1.1 Integrating Biometric Hardware with Existing Hardware . 21
3.1.2 Integrating Biometric Hardware with Existing Software .. 21
3.1.3 Effect on the Technical Roadmap .. 22
3.1.4 Cloud-based Validation 22
3.1.5 Local versus Remote Authentication . 23
3.2 Biometric Modalities .. 24
3.2.1 Fingerprint Recognition 24
3.2.2 Voice Recognition .. 25
3.2.3 Vascular Imaging . 26
3.2.4 Electrocardiogram .. 26
3.2.5 Hand Geography . 27
3.2.6 Retina Scan 28
3.2.7 Iris Image . 28
3.2.8 Eye White Recognition . 29
3.2.9 Facial Scan . 29
3.2.10 Facial Thermography .. 29
3.2.11 DNA Scan . 30
3.2.12 Signature Dynamics . 30
3.2.13 Keyboard Dynamics . 30
3.2.14 Gesture Recognition 31
3.2.15 Gait Recognition . 31
3.3 Error Rates . 31
3.3.1 False Reject (Type I Error) . 31
3.3.2 False Accept (Type II Error) .. 32
3.3.3 Crossover Error Rate 32
3.3.4 Failure to Enroll Rate . 33
3.4 De-duplication .. 34
3.5 Cancelable Biometrics . 34
3.6 Suitability for Mobile Devices 35
3.6.1 Device Size . 35
3.6.2 Response Time Expectation . 35
3.6.3 Technologies that Meet Expectations for Mobile Devices . 36
SECTION 4 . 38
Key Industry Players 38
4.1 3M Cogent .. 38
4.2 Booz Allen Hamilton .. 38
4.3 Dell SecureWorks .. 39
4.4 EyeVerify . 39
4.5 FIDO Alliance 40
4.6 Fujitsu 41
4.7 Fulcrum Biometrics 41
4.8 Good Technologies 42
4.9 Grabba . 43
4.10 Honeywell 43
4.11 Leidos 44
4.12 LG Electronics .. 45
4.13 M2SYS Technology .. 45
4.14 NEC 46
4.15 Neurotechnology . 47
4.16 Nuance . 47
4.17 Pindrop Security .. 48
4.18 Qualcomm .. 49
4.19 RSA 49
4.20 Samsung KNOX .. 50
4.21 StreetCred Software .. 50
4.22 Synaptics . 51
4.23 VoiceTrust .. 51
4.24 VoiceVault .. 52
4.25 Other Key Vendors . 52
SECTION 5 . 56
Market Forecasts 56
5.1 Introduction . 56
5.2 Forecast Methodology and Assumptions 56
5.3 Forecasts . 57
5.3.1 Global Revenue Forecast 57
5.3.2 Revenue Forecast by Region 60
5.3.3 Global Revenue Forecast by Technology .. 61
5.4 Conclusions 64
SECTION 6 . 65
Company Directory .. 65
SECTION 7 . 69
Acronym and Abbreviation List 69
SECTION 8 . 71
Table of Contents .. 71
SECTION 9 . 74
Table of Charts and Figures 74
SECTION 10 .. 75
Scope of Study 75
Sources and Methodology .. 75
Notes . 76

TABLE OF CHARTS AND FIGURES
Chart 1.1 Mobile Biometrics Total Revenue by Region, World Markets: 2015-2024 .. 3
Chart 5.1 Cumulative Mobile Biometrics Revenue by Region, World Markets: 2015-2024 .. 58
Chart 5.2 Mobile Biometrics Revenue Year-on-Year Change, World Markets: 2015-2024 .. 59
Chart 5.3 Mobile Biometrics Device Revenue by Region, World Markets: 2015-2024 60
Chart 5.4 Mobile Biometrics Application Revenue by Region, World Markets: 2015-2024 61
Chart 5.5 Mobile Biometrics Device Revenue by Hardware Type, World Markets: 2015-2024 .. 62
Chart 5.6 Mobile Biometrics Device Revenue with Onboard Fingerprints Removed, World
Markets: 2015-2024 .. 63
Chart 5.7 Mobile Biometrics Revenue by Application Type, World Markets: 2015-2024 64
Chart 10.1 Tractica Research Methodology .. 76
Figure 3.1 Architecture of Local Biometrics Verification . 23
Figure 3.2 Remote Verification of Fingerprint Identity . 24
Figure 3.3 Grabba Tray with Fingerprint Reader and Extended-life Battery Pack Attached to
Samsung Phone .. 25
Figure 3.4 Electrocardiogram Wristband Used for Payment 27
Figure 3.5 Immigration Kiosk Using Hand Geography at Ben Gurion Airport, Tel Aviv . 27
Figure 3.6 Iris Scan on a BlackBerry 28
Figure 3.7 Crossover Error Rate Compared to False Accept and False Reject Rates .. 33
Figure 3.8 Intentional Distortion of a Biometric Identity .. 35
Table 2.1 Selected Uses Cases for Biometrics 7
Table 3.1 Biometric Modalities for Mobile Devices . 36
Table 4.1 Other Key Vendors . 53

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