Biometric Vehicle Access System Market is expected to increase rapidly due to the rise in demand for safety features

​Biometric Vehicle Access System Market is a technology developed for automated access to a vehicle based on behavioral or physiological characteristics. It is used for verification and recognition of a manual access for better anti-theft protection and sense of comfort and safety for car owners. The biometric vehicle access system technology is user-friendly, reliable, and convenient. These systems are primarily adopted by renowned automotive brands such as Mercedes-Benz, BMW, Ford, and Volkswagen. These brands are adopt biometric vehicle access technology in order to seek better ways to strengthen the safety and security system of their vehicles. The biometric vehicle access system entails few access tests to verify highly-secure and authorized controls. After passing these tests, the biometric access control system allows the user to start the engine of the car. Voice verification, fingerprints, hand geometry, and retina/ iris/ face recognition are the various types of biometric vehicle access systems available in the market.

The biometric vehicle access system market can be segmented based on authentication type, future technology, and vehicle type. Based on authentication type, the market can be bifurcated into fingerprint and voice. The fingerprint recognition system is expected to account for the major share of the biometric vehicle access system market, considering its high reliability. Fingerprints of two people are never the same; they can be distinguished. Therefore, the chances of fraud in the fingerprint recognition system is lesser than that in the voice recognition system. Voices of two persons can be the same. This can lead to deception.

Based on future technology, the biometric vehicle access system market can be segregated into retina or iris and face recognition system. Demand for the iris recognition system is expected to increase rapidly due to the rise in demand for safety features. The face recognition system carries chances of fraud, as faces can be cloned. Many scams related to cloning of faces have been unearthed in the past. Thus, demand for iris or retina recognition system has been increasing. The segment is in the growth phase and is anticipated to expand significantly by 2024.

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Based on vehicle type, the biometric vehicle access system market can be segmented into passenger cars and battery electric vehicles. Biometric vehicle access systems are still in the growth phase, as these are developing technologies. Increase in industry standards such as the BioAPI is estimated to boost the biometric vehicle access system market in the near future.

In terms of region, Europe dominates the global biometric vehicle access system , led by growth in the automobiles industry. Germany is a major manufacturer of automobiles across the globe. This is projected to propel the global biometric vehicle access system in Europe. The automotive industry in Europe adopts highly advanced technologies compared to that in Asia Pacific or North America. Rise in population in Asia Pacific is likely to drive the biometric vehicle access system in the region. The biometric vehicle access system in India and China is expanding significantly. North America is also a favorable market for biometric vehicle access system. Demand for biometric vehicle access system is low in Middle East & Africa and Latin America compared to other regions; however, demand for these systems is anticipated to rise in the near future due to growing automobile industry in the region.

Key players operating in the global biometric vehicle access system include Safran S.A, Hitachi Ltd., Fujitsu Ltd., Nuance Communications, Voxx International, Hid-Global, and Synaptics Incorporated.

The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions.

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