15 August 2017
Visiongain’s new report the Automotive Virtual Assistant Market Report 2017-2027 : Forecasts By Technology (Text to Speech, Gesture Recognition, Speech Recognition) By Vehicle Type (Passenger Vehicle, Light Commercial Vehicle, Heavy Commercial Vehicle) By Operation Type (Real Time, Location Base, Cognitive) By Application (Navigation Control, Entertainment, Online Shopping, Others) & Leading Companies Developing Intelligent Virtual Assistants & Artificial Intelligence (AI) indicates that the global Automotive Virtual Assistant market will see $354m in spending in 2017.
The lead analyst of the report said “An Automotive Virtual Assistant is a human machine interaction tool and a form of artificial intelligence (AI) that acts as a primary interface between the driver and automotive signalling. Today, most vehicle accidents occur because of the driver being distracted whilst driving. Picking up calls during driving, texting or searching for petrol stations while driving distracts the driver and it leads to accidents, especially during night time driving. However, if there is an automotive virtual assistant system enabled in the car or vehicle, it would help avoid fatal accidents.
Therefore, Automotive Virtual Assistant tools like Nuance Dragon-Drive, Microsoft Azure, Microsoft Cortana, and IBM Watson are increasingly being deployed in vehicles. With these tools or solutions, the companies effectively and efficiently respond to the driver’s real time needs. Now in the present and near future these technologies will be in very great demand. Hence, most companies are deploying human machine interactive technologies, i.e. Automotive Virtual Assistants, which includes speech recognition, and text to speech conversion amongst others. The 137 page report contains 63 tables, charts and graphs that add visual analysis in order to explain developing trends within the Automotive Virtual Assistant market. Visiongain provides forecasts for the period 2017-2027 for the leading Automotive Virtual Assistant submarkets by technology (Text to Speech, Gesture Recognition, Speech Recognition) by vehicle type (Passenger Vehicle, Light Commercial Vehicle, Heavy Commercial Vehicle) by operation type (Real Time, Location Base, Cognitive) and by application (Navigation Control, Entertainment, Online Shopping, Others).
The 137 page report offers market forecasts and analysis for 5 regional and 11 leading national markets and the rest of the world market. In addition, the report contains a dedicated leading companies’ chapter covering 10 companies leading the field in Automotive Virtual Assistants.
The Automotive Virtual Assistant Market Report 2017-2027: Forecasts By Technology (Text to Speech, Gesture Recognition, Speech Recognition) By Vehicle Type (Passenger Vehicle, Light Commercial Vehicle, Heavy Commercial Vehicle) By Operation Type (Real Time, Location Base, Cognitive) By Application (Navigation Control, Entertainment, Online Shopping, Others) & Leading Companies Developing Intelligent Virtual Assistants & Artificial Intelligence (AI) report will be of value to anyone who wants to better understand the Automotive Virtual Assistants market and its various segments. It will be useful for businesses who wish to better comprehend the part of the market they are already involved in, or those wishing to enter or expand into a different regional or technical part of the Automotive Virtual Assistants industry.
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