Global Voice Recognition Market in Automotive – Analysis and Forecast (2018-2024)

Industry Insights by Application (Artificial Intelligence and Non-Artificial Intelligence), by Technology (Embedded and Hybrid), End User (Economy Vehicles, Luxury Vehicles and Mid-Price Vehicles), by Fuel Type (Battery Electric Vehicle, Internal Combustion Engine and Others), and by Level of Autonomous Driving (Autonomous, Semi-Autonomous and Conventional)

Status : Upcoming
Report Code : VRAT4006
Available Format : PDF
Industry : Automotive & Transportation

Industry Overview

Voice recognition in automotive help in decreasing the driver disruption and improves the comfort level in the vehicle. Increasing traction towards the connected vehicles and level of autonomous and comprehensive usage of smartphone environment in cars are the major factors driving the global voice recognition market in automotive. Different technology contributed to the voice recognition market size in the automotive industry. The market is expected to witness high demand for embedded technology in the coming years due to the increasing traction for connected vehicles, and advancement of in-vehicle infotainment systems.

Market Segmentation

Insight by Application

On the basis of application, the voice recognition market in automotive is subdivided into artificial intelligence and non-artificial intelligence. Of the two applications, non-artificial intelligence segment accounted for the largest share in the market. In addition, artificial intelligence is estimated to grow at the fastest rate in the market due to technological advancement.

Insight by Technology

On the basis of technology, the market is subdivided into embedded and hybrid. Of the two technologies, the embedded segment is expected to grow at the faster rate in the voice recognition market in automotive due to the increasing traction for connected vehicles, advancement of in-vehicle infotainment systems, the mounting need for innovative comfort and convenience and growth of semi-autonomous and autonomous vehicles.

Insight by End User

On the basis of the end user, the market is subdivided into economy vehicles, luxury vehicles, and mid-priced vehicles. Among all end users, the luxury vehicles accounted for the largest share in the voice recognition market in automotive. In addition, economy vehicles are estimated to grow at the fastest rate in the market due to upsurge in need for ease and convenience features and incorporation of technology to reinforce centralized functions in the vehicles.

Insight by Fuel Type

On the basis of fuel type, the market is subdivided into battery electric vehicle (BEV), internal combustion engine (ICE) and others. Among the all fuel type, the battery electric vehicle (BEV) segment is estimated to grow at the fastest rate in the voice recognition market in automotive due to the mounting production of electric vehicles. In addition, internal combustion engine (ICE) segment accounted the largest share in the market due to its production and sale, as a sluggish infrastructural expansion for electric vehicles and hybrid vehicles in developing countries have limited the growth of BEV types of vehicles and upsurges the demand of ICE vehicle segment.

Insight by Level of Autonomous Driving

On the basis of the level of autonomous driving, the market is subdivided into autonomous, semi-autonomous and conventional. Among all level of autonomous driving, the semi-autonomous segment is estimated to grow at the fastest rate for the voice recognition market in automotive due to constant development in the infotainment features and mounting automation. In addition, the conventional segment accounted for the largest share of the market.

Industry Dynamics

Growth Drivers

Comprehensive usage of smartphone environment in cars, incorporation of technology to reinforce centralized function, the mounting need for connected cars and mounting trend of autonomous vehicle driving are the primary growth drivers for voice recognition market in the automotive industry. For instance, voice recognition system in automotive consist of regulator of communication systems assimilated in the car infotainment system comprising a telephone, audio devices and objective involvements for navigation.

Voice recognition system can expand to an integrated personal assistant system, initiation of concept cars and electric vehicles in the auto industry and novel prospect for data-driven services are also facilitating the growth for the voice recognition market in automotive.

Challenges

The high price of high-end voice recognition system, data security concerns and language and vernacular translation concerns are the major challenges for the growth of voice recognition market in automotive. However, the cost of the voice recognition system is expected to decline in the future, as greater implementation rate by vehicle manufacturers to provide passenger cars with voice recognition system will lead to upsurge the demand for voice recognition system for automotive.

Industry Ecosystem

Globally industry players are leveraging market growth by launching new products. However, the high level of capital requirement poses a major threat for the entry of new players. This offers an edge to the established players in the industry competition.

Geographic Overview

Geographically, Asia-Pacific is observed to witness the highest growth in the voice recognition market in automotive due to the upsurge in production pace of automobiles. Substantial implementation of enhancing technologies in automotive electronics, mounting disposable income, speedy urbanization and refining lifestyle of consumers are also up surging growth of the Asia-Pacific voice recognition market in automotive.

Competitive Insight

Key players in the voice recognition market in automotive are catering the demand by collaborating with small players and investing in technologically advanced voice recognition device across the globe. In September 2018, Nuance collaborated with Affectiva, to enhance intelligent automotive assistants with the understanding of cognitive and emotional states from face and voice. Nuance, Vocalzoom, Sensory, Apple, Alphabet, and Inago are the key players offering voice recognition systems in the automotive industry.

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