In a global biometric hardware market worth over $4B, traditional fingerprint/palm sensors still monopolize 95% of the market, but face and iris sensors lie in wait. Fingerprint technology impressively dominates the market - but changes are expected Due to historical reasons, like the criminal fingerprint database established by the FBI with ink-based techniques, fingerprint sensing is the most common biometric technology currently used, by far. We estimate that the annual revenues generated by fingerprint-based solutions are currently $4.25B, representing 95% of the hardware market. Fingerprint sensing dominates technologies like iris, face, palm or voice recognition, because it meets almost all the requirements of a “perfect” biometric recognition technology. It is robust, stable and repeatable, time-invariant, difficult to spoof, has a distinctive meaning, is "unique" amongst a population, accessible, easy to use and acceptably non-intrusive. All other biometric technologies do not yet fulfill those requirements as specifically as fingerprint technology. Hardware revenues generated by the other biometric technologies are relatively low, estimated at $250M, mostly from iris and face recognition. This report identifies the players in the biometric hardware market, and provides technology, market and trend evolution insights. The fingerprint market has experienced an incredible volume increase in the consumer market with the adoption of the active capacitance detection on an increasing number of smartphones to answer the demand of online identification, mobile payment and unlocking applications. Diverse technologies, such as optical, thermal, and Piezoelectric Micromachined Ultrasonic Transducers (PMUT), are also trying to penetrate the consumer market, but are still very limited. The industrial and homeland/security markets are still widely using optical technology. Other biometric solutions like iris, face or voice recognition have been introduced but with a limited impact. Their performance hasn’t yet reached the requirements with regards to cost, reliability, false rejection rate and false acceptance rate to significantly penetrate either the consumer, industrial or homeland/security markets.... More information on that report: http://www.i-micronews.com/report/product/sensors-for-biometry-and-recognition.html

1. November © 2016
From Technologies to Markets
2016 Report
Sensors for
Biometry and
Recognition
Will consumer tech disrupt the
market?

2. 2
OBJECTIVES OF THE REPORT
Provide a clear understanding of applications and related technologies.
Ecosystem identification and analysis:
• Determine applications range
• Technical market segmentation
• Economic requirements by segment
• Key players by market and analysis
• Market size and market forecast in $M and Munits
Analysis and description of market and technologies involved:
• Major actors on a global basis
• Detailed applications per market segment
• Technology identification for different products and processes
• Competing technologies
• Main technical challenges
Ecosystem
Market
Techno
@2016 | www.yole.fr | Sensors for Biometry and Recognition

3. 3
METHODOLOGIES & DEFINITIONS
Yole’s market forecast model is based on the following elementary structured blocks:
Yole’s analysis
framework
@2016 | www.yole.fr | Sensors for Biometry and Recognition

4. 4
360 Biometrics, 3M (Cogent),Abacus Infotech,Anviz Biometric,Apple,Aware, BioEnable, BioID, Bio-Key,
Biomatiques, CMITech, Cognitec, CrossMatch, CrucialTec, DeltaID, Dermalog, Egistec, EyeLock, EyeVerify,
Fingerprints Card, FotoNation, Fujitsu Frontech, Futronic, Goodix, GreenBit, HID Global, ID3, IDEX,
InvenSense, IrisGuard, IrisID, Iritech, Kona C, Knuverse, Lumidigm, m2sys, NEC, NextBiometrics, Nuance,
Precise Biometrics AB, Princeton Identity (SRI Identity), Qualcomm, Safran Morpho, Secugen, Sestek,
Sonavation, Suprema, SynapticsValidity,Vkansee, XinguoduTechnology, ZKTEco and many more !
@2016 | www.yole.fr | Sensors for Biometry and Recognition
COMPANIES CITED IN THIS REPORT

5. 5
REPORT SCOPE
Only sensors
dedicated to
biometry and
recognition
@2016 | www.yole.fr | Sensors for Biometry and Recognition
Physiological biometrics sensors (eye, face, finger, hand, voice, etc.)
ADN identification
Behavioral biometrics (keystroke, signature, etc.)
Smart cards
Not included in the report

6. 6
SCOPE OF THE REPORT
Focus on the
uniqueness of
the physical
parts of the
human body
@2016 | www.yole.fr | Sensors for Biometry and Recognition
Biometrics
Physiological
Face Fingerprint
Palm Iris
Voice Retinal/EyeVein
Behavioral
Signature Keystroke
Sensor
Applications
Markets
Trends
Forecasts

7. 7
BIOMETRICS ARE RAMPING UP SINCE OVER A DECADE AND EVEN MORE NOW
Semiconductor
industry
improvements
lead to smaller
and more reliable
sensors able to
recognize a
unique human
@2016 | www.yole.fr | Sensors for Biometry and Recognition
The advent of the
smartphone industry since 10
years offers to biometric
company the opportunity to
install sensors on potentially
each human.
Biometric
Increasing importance of
digital identity and digital
banking (ID, Login,
Password)
Tightening security measures in
the defense, customs and borders
protection
Increased threat of terrorist
attacks
Enrollment exclusions
Forgery of biometrics
Reticence of the
population to be
monitored
Silicon-based
sensors
improvements
Worldwide
Surveillance/
security
concerns
Smartphones
installed base
key
trends
enhancing
Biometrics
3

8. 8
APPLICATIONS OF BIOMETRY AND RECOGNITION
2 traditional industries, and the newborn consumer business is skyrocketing
Applications
have been
split among 3
sectors:
1- Consumer
2- Industrial
3- Homeland
and Security
 Office access
 Travel/Airport security
 Healthcare/Clinics
 Retail
 Financial & Banking
 …
 Mobile
 Smart home
 Automotive
 …
 Government offices
 Citizen management/Voter registration
 Police/Military citizen management
 Defense
 …
@2016 | www.yole.fr | Sensors for Biometry and Recognition
Industrial
Consumer
Homeland /
Security
Biometry

9. 9
DIFFERENCE: IDENTIFICATION VS. VERIFICATION
Identification
requires a
database
@2016 | www.yole.fr | Sensors for Biometry and Recognition
1 vs n 1 vs 1
Sensors
Input
Interface
APU/MCU
Processing
Unit
Display/Indicator
Output
Interface
SecureElement
Encrypted
Data
Compared
or Sent
Internal/External
Database
Data
Comparison
Sensors
Input
Interface
APU/MCU
Processing
Unit
Display/Indicator
Output
Interface
SecureElement
Encrypted
Data/Pattern
compared to
Enrollment
pattern
The 1-to-n nature of identification
typically requires a database of
identities against which to match
(the ‘n’)
Verification is answering
the question,“Are you
who you say you are?”

10. 10
BIOMETRICS MARKET TREND IN MOBILE
Recent security cases may have shorten the entry in the security technology
From
convenience
to security
feature…
20202012 2014 2016 2018 2022
20%
30%
50%
70%
Fingerprint biometrics
is a convenience feature
90%
Market Penetration
Convenience/feature
Security technology
Could biometrics become a
critical security technology ?
Mobile Payment
Online Identity
Biometric Personal
Identification Device (BPID)
?
950XL
Unlocking
Account
+
Advanced
fingerprint
sensing
+
Iris
recognition
Facial
recognition
A mix of technologies but a false rejection
rate (FRR) has to be lowered…
@2016 | www.yole.fr | Sensors for Biometry and Recognition

11. 11
MAIN TYPES OF FINGERPRINT IDENTIFICATION DEVICES
Optical is the
main
technology for
high-end
markets, while
capacitive
technology is
the most used
in the
consumer
market
@2016 | www.yole.fr | Sensors for Biometry and Recognition
Sensor
Cover
Illumination
ASIC
/CPU
OPTICAL CAPACITIVE THERMAL* PMUT
Mostly for Industrial and
Homeland/Security applications
Mostly for Consumer applications
but thermal detection could be used for specific applications

12. 12
AND MANY MORE INFORMATION
@2016 | www.yole.fr | Sensors for Biometry and Recognition

13. 13
RELATED REPORTS
Discover more related reports within our bundles here.
@2016 | www.yole.fr | Sensors for Biometry and Recognition

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