Biometric systems market to hit a value of $20 billion by 2018 (Companies and Markets)

Social networking sites are anticipated to begin using biometrics for authentication. The increasing use of mobile/tablet based applications will encourage mobile industry leaders like Apple and Google to implement biometrics in to mobile devices.

The market for fingerprint biometric technologies is expected to see the largest increase with an annual growth rate of 19.6 percent. It is currently the main source of revenues in the biometrics market totalling $2.7 billion and by 2015 it will grow to reach more than $6 billion.

The second largest segment in biometrics, the market for face, iris, vein, and voice recognition technologies, will expand to $3.5 billion, from its current size of roughly $1.4 billion.

U can’t touch this…

ASIA/PACIFIC:
The touch-less sensing market is expected to reach $1.89 billion by the end of 2018 at a CAGR of 29.30%
(Markets and Markets)

From the summary…

The increasing security concerns in the major countries of the region have pushed for the need of accurate and reliable biometric systems. The e-passport program has picked up pace in many countries and the Aadhaar number initiative by the Indian government have created huge demand for the touchless biometrics. The touchless sanitary market that includes products like touchless faucets, touchless soap dispensers, touchless hand dryers and so on, will witness growth in their shipments as the governments increase their focus on hygiene in the region.

The demand for touchless biometrics is on the rise owing to the accuracy on the part of the system. The contact-less biometric solutions are more hygienic as compared to the touch-based biometric systems. The touch-less sensing market is expected to reach $1.89 billion by the end of 2018 at a CAGR of 29.30%. The key players in the touch-less sanitary equipment market are iTouchless (U.S.), simplehuman LLC (U.S.). The key players in touchless biometric solutions include NEC Corporation (Japan), Fujitsu Limited (Japan), TST Biometrics (Germany), Touchless Biometric Systems (Germany), and IrisGuard (Switzerland). Majority of the global players have strong presence in the APAC market.

The huge demand for Smartphones and Tablets is a definite driver for the gesture recognition market in the APAC region. This is evident with the number of product launched, from the OEMs in the last two years. A number of OEMs, who have their footprint globally and in local markets, have launched products ranging from smartphones to smart TVs. The figure below shows the trend of the APAC gesture recognition and touchless sensing market from 2012 till 2018.

Gesture recognition is still in the emerging phase but has proved to be the next generation technology that has the potential to revolutionize the way humans interact with machines. The technology is currently being integrated majorly into consumer electronics. This would help to push the technology towards maturity and in turn the decrease in price. Slowly, automotive application and healthcare would emerge as potential applications for the gesture recognition market in the near future.

Industry report on fingerprint biometrics

Growing Security Concerns to Drive Global Market for Fingerprint Biometrics, According to New Report by Global Industry Analysts, Inc. (Press Release via Yahoo)

The ever present threat of security concerns like terrorist attacks, campus violence, random shootouts, burglary and physical assaults, will continue to offer a steady flow of opportunities for the conventional AFIS fingerprint biometrics by way of government compulsions in investing to beefing up security infrastructure. Non-AFIS Fingerprint Biometrics in m-commerce applications is forecast to drive strong gains in the market.

Advancements in technology, increasing accuracy and performance levels, reducing complexity and declining prices, are key factors responsible for expanding the application possibilities of fingerprint identification technologies beyond the government sector. Fingerprint identification systems are already being deployed in enterprises, particularly in large organizations with huge number of employees and continuous flow of visitors. Companies engaged in processing of sensitive information such as banking and financial institutions and research laboratories are also using fingerprint identification recognition extensively for monitoring visitor and employee movements. Non-AFIS fingerprint scanners are especially finding increased adoption in the business segment. Government regulations mandating stringent security measures for key commercial centers such as office buildings, malls, hospitality and healthcare facilities will also add to the market demand.

More interesting findings at the link, including falling costs for silicon based fingerprint sensors, which are small enough to be useful on mobile devices (laptops & hand-helds) but have been much more expensive than optical fingerprint readers.

The challenges confronting any new biometric modality

[ed. This post reflects a substantial rewrite of an earlier post of January 24, 2013: Not the bee’s knees]

Every once in a while a version of the following paragraph finds itself in the news…

Biometrics Using Internal Body Parts: Knobbly Knees in Competition With Fingerprints (Science Daily)

Forget digital fingerprints, iris recognition and voice identification, the next big thing in biometrics could be your knobbly knees. Just as a fingerprints and other body parts are unique to us as individuals and so can be used to prove who we are, so too are our kneecaps. Computer scientist Lior Shamir of Lawrence Technological University in Southfield, Michigan, has now demonstrated how a knee scan could be used to single us out.

Forget digital fingerprints, iris recognition and voice identification, the next big thing in biometrics could be your ______________.

Examples are numerous and fecund:

Heartbeat?
Rear-end?
Ear?
Bone structure or electric conductivity?
Footsteps?
Nose? (ed. Link added later. I forgot about that one.)
Body odor?
Brain prints?
Lip movements?
Kneecap?

While I suspect that any definable aspect of the human anatomy could be used as a biometric identifier — in instances where teeth are all that is known about an individual, they are used for high confidence identification — I’m afraid that, for the foreseeable future, the cards are stacked against any new biometric modality catching on in any big way.

The reasons for this are both scientific (research based) and economic (market based).

On the science side, a good biometric modality must be: unique, durable, and easily measurable. If any of these are missing, widespread use for ID management isn’t in the cards. If something is unique and durable but isn’t easily measurable, it can still be useful but it isn’t going to become ubiquitous in automated (or semi-automated) technology. Teeth and DNA fit this model. Teeth have been used to determine the identity of dead bodies with a high degree of certainty for a long time, but we aren’t going to be biting any sensors to get into our computers any time soon — or ever. Likewise with DNA.

There is also the challenge of proving that a modality is in fact unique, durable and easily measurable which requires a whole lot of experimental data and (especially regarding uniqueness) a healthy dose of statistical analysis. I’m no statistician, and from what I understand, the statistical rules for proving biometric uniqueness aren’t fully developed yet anyway, so let’s just leave things in layman’s terms and say that if you’re wanting to invent a new biometric modality and someone asks you how big a data set of samples of the relevant body part you need, your best answer is “how many can you get me?”

In order to ascertain uniqueness you need samples from as many different people as you can get. For durability you need biometric samples for the same person taken over a period of time and multiplied by a lot of people.

Ease of measure is more experiential and will be discovered during the experimentation process. The scientists charged with collecting the samples from real people will quickly get a feel for the likelihood that people would adapt to a given ID protocol.

For two common biometric modalities, face and fingerprint, huge data repositories have existed since well before there was any such thing as a biometric algorithm. Jails (among others) had been collecting this information for a hundred years and the nature of the jail business means you’ll get several samples from the same subject often enough to test durability, too, over their criminal life. For face, other records such as school year books exist and were readily available to researchers who sought to test the uniqueness and durability of the human face.

The first hurdle for a novel biometric modality is the competition for the attention of scientists and researchers. Getting the attention of science and technology journalists by making a pronouncement that the space between the shoulder blades is the next big thing in biometrics is one thing. Getting academic peers to dedicate the time and research dollars to building the huge database of interscapular scans required for algorithm development is quite another. Any new modality has to offer out-sized advantages over established modaities in order to justify the R&D outlay required to “catch up”. This is highly unlikely.

On the market side, in order to displace established (finger/hand and face/eye) biometric modalities in wide scale deployments, the academic work must be complete and the new technology must produce a return on investment (ROI) in excess of that offered by existing technologies designed to accomplish the same function.

That’s not to say that modalities that didn’t have the advantage of a 100 year head start on data collection are impossible to bring to market. Iris, voice, and the vascular biometrics of the hand (palm, finger) have joined face and fingerprint biometrics in achieving commercial viability despite the lack of historic data repositories. But there were several things recommending them. They either occupy prime real estate on the head and the end of the arm (Iris, vein) making them easy to get at, or they are the only biometric that can be used over a ubiquitous infrastructure that simply isn’t going anywhere (voice/phone), or they offer advantages over similar established modalities. With hand vascular biometrics: they’re harder to spoof than fingerprints; no latency; avoidance of the “fingerprinting = criminality” stigma; can work with gloves; users can avoid touching the sensor, etc. With iris: harder to copy than the face; harder to spoof; easier to measure than retina vasculation; and extremely low/no latency. Yet even despite gaining the required academic attention, iris and voice have had great difficulty overcoming the market (ROI) hurdle, which brings us back to knees.

Is there any database of kneecaps of significant size to allow researchers to skip the time-consuming task of building such a database themselves reducing the cost of development? Is there any deeply embedded ubiquitous infrastructure that is already an ideally suited knee-sensor? Is there any objection to modalities that have a head start on knees that knee biometrics would overcome? Is there any conceivable, repeatable, scalable deployment where a potential end user could save a whole lot of money by being able to identify people by their knees? I’m at a loss but these are exactly the kind of questions any new biometric modality must be able to answer in the affirmative in order to have any hope for wide-scale deployment.

So, it’s pretty clear that knee biometrics are not something the average person will ever come into contact. Does that mean there is no value in exploring the idea of the kneecap as a feature of the human anatomy capable of being used to uniquely identify an individual? Not necessarily.

In order to thrive as high value-added tools in highly specialized deployments a novel modality just needs to help solve a high value problem. This has heretofore been the case with teeth & DNA. The analysis of teeth and DNA is expensive, slow, requires expert interpretation, and is difficult to completely automate, but has been around for a long, long time and isn’t going anywhere anytime soon. That’s because the number of instances where teeth and DNA are the only pieces of identifying information available are frequent enough, the value of making the identification is high enough, and the confidence level of the identification is high enough that people are willing to bear the costs associated with the analysis of teeth and DNA.

Beyond teeth and DNA, any biometric modality can be useful, especially when it is the only piece if information available. The CIA and FBI even invented a completely novel biometric approach in an attempt to link Khalid Shaikh Mohammed to the murder of Daniel Pearl using arm veins. But how likely is something like that ever to be the case for any of these novel modalities, knees included? It’s possible that the situation could arise where a knee bone is discovered and there is an existing x-ray or MRI of a known person’s knee and a comparison would be useful. That, however, is not enough to make anyone forget about any already-deployed biometric modality.

Biometrics a key part of growing market for Electronic Security Systems

Growing Security Concerns and Demand from Developing Markets Drives the Electronic Security Systems Market, According to New Report by Global Industry Analysts, Inc. (Press Release via Yahoo & PRWeb)

Another noteworthy trend is the shift in preferences towards integrated electronic access control systems & advanced network systems. Given their ability to enable the integration of existing access control systems with other security services, IP based open-architecture systems will witness increased demand in the next few years, thereby adding to the revenue stream. Access control systems that offer remote access via web browsers or virtual private networks (VPNs) are turning out to be highly popular among businesses organizations, especially SMBs, thereby driving access control system installations. Biometric technologies such as voice and face identification solutions, iris scanners, hand geometry systems, and fingerprint scanners also offer bright prospects for the biometric access control market. Poised to gain are biometric physical access systems, which seamlessly combine with time & attendance, payroll and other human resource application systems.

The global market for Electronic Security Systems (ESS) is projected to reach US$62.5 billion by 2018.

The paragraph quoted above certainly matches what we’ve been seeing in the market lately.