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China's Biometrics Market is Promising
May 23, 2018

China's Biometrics Market is Promising


In the age of the Internet, cyber security has received unprecedented attention. Biometrics technology has become a “guardian god” of cyber security with its advantages of security, reliability and convenience. Fingerprint recognition, face recognition and iris recognition are gradually integrated into people's lives, and the development of the biometric recognition industry is getting better and better. The market scale is growing and stronger, and the prospects are good.


Among various types of biometric technologies, fingerprint identification technology is the most mature and widely used, but due to insurmountable security holes, such as fingerprint collection are easily damaged, and fingerprint identification locations are highly demanded, in recent years, there are some signs that face recognition catches up with fingerprint recognition.


From the mainstream biometric technologies, biometric identification can be widely welcomed because of its characteristics of easy measurement, exclusiveness, and lifetime validity, and it has a natural advantage in protecting information security.


It is precisely because of the advantages of rapid testing, accurate results, and safety and high efficiency. The market scale has grown rapidly. Biometric recognition is widely used in various industries, such as banking, Internet finance, and smartphones, etc.


According to the Prospect Industry Research Institute, by 2020, the global biometric market will exceed 25 billion U.S. dollars, and the China's market will reach 30 billion yuan.


In terms of specific market segments, by 2020, fingerprint recognition will still dominate the global market, accounting for more than half of the total; speech recognition and face recognition will follow closely; the proportion of iris recognition will increase substantially.


In general, under the background of increasing attention to information security, the prospects for biometric technologies such as face recognition and fingerprint recognition are promising, and there is great room for development in the future. However, to achieve large-scale applications, it is necessary to further improve the technology, reduce the use of thresholds and costs, while constantly expanding the application scenarios.





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