Albany, NY -- (SBWire) -- 10/19/2015 --Voice recognition is a software that has the ability to convert and decode human voice into speech easily understood by a computer. It is an ability of a machine to receive, understand, and dictate the spoken commands. Voice recognition is used for biometric security purposes to determine the voice of a particular person to grant or deny access. In the automotive sector, voice recognition is used in cars to control infotainment systems and for security purposes. In the US, most cars are already equipped with voice recognition; however, the demand for advanced technology that can be used for several other applications such as navigation is increasing.
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The voice recognition market for the automotive sector in the US to grow at a CAGR of 7.36% over the period 2014-2019. This report covers the present scenario and the growth prospects of the voice recognition market for the automotive sector in the US for the period 2015-2019. The report presents the vendor landscape and a corresponding detailed analysis of the top vendors in the market. In addition, it discusses the major drivers that influence the growth of the market. It also outlines the challenges faced by the vendors and the market at large, as well as the key trends emerging in the market.
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To arrive at the market size, the number of automobiles with voice recognition feature is considered. Passenger cars that come under categories such as SUVs, crossovers, hatchbacks, and sedans are considered in the report. Large vehicles such as trucks are not included.
Voice Recognition Market for the Automotive Sector in the US 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. The report includes the market landscape and its growth prospects in the coming years. The report includes a discussion of the key vendors operating in this market.
Key vendors:-
Apple
Google
Nuance
VoiceBox Technologies
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Voice Recognition Market for the Automotive Sector in the US to Grow at a CAGR of 7.36% in Terms of Unit Shipment over the Period 2014-2019