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Artificial Intelligence in Automotive Market

Artificial Intelligence in Automotive Market Demands and Growth Prediction, Outlook 2018-2026

Artificial Intelligence in Automotive Market Demands and Growth Prediction, Outlook 2018-2026

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<strong>Artificial</strong> <strong>Intelligence</strong> <strong>in</strong> <strong>Automotive</strong> <strong>Market</strong> will Explore Robust<br />

Size & Growth Dur<strong>in</strong>g 2018-2026<br />

<strong>Artificial</strong> <strong>Intelligence</strong> <strong>in</strong> <strong>Automotive</strong> <strong>Market</strong> study provides key <strong>in</strong>sights<br />

about market drivers, restra<strong>in</strong>ts, opportunities, new product launches or<br />

approval, regional outlook, and competitive strategies adopted by the<br />

lead<strong>in</strong>g players.<br />

<strong>Artificial</strong> <strong>Intelligence</strong> is <strong>in</strong>creas<strong>in</strong>gly be<strong>in</strong>g adopted <strong>in</strong> the automotive sector, <strong>in</strong> order to reduce<br />

human errors and human <strong>in</strong>tervention. <strong>Artificial</strong> <strong>in</strong>telligence autonomously enhances visual<br />

perception, decision mak<strong>in</strong>g, and speech recognition. The <strong>in</strong>creas<strong>in</strong>g government regulations<br />

for vehicle safety become one of the major driver for the growth of the market.<br />

Request PDF Brochure for Sample Purpose @<br />

https://www.coherentmarket<strong>in</strong>sights.com/<strong>in</strong>sight/request-pdf/1347<br />

Increas<strong>in</strong>g demand for autonomous vehicles is a major factor driv<strong>in</strong>g growth of the artificial<br />

<strong>in</strong>telligence <strong>in</strong> automotive market<br />

Increas<strong>in</strong>g demand for autonomous vehicles is expected to support growth of the artificial<br />

<strong>in</strong>telligence <strong>in</strong> automotive market. Increas<strong>in</strong>g number of road accidents and fatal <strong>in</strong>juries, due<br />

to human errors has led to <strong>in</strong>creas<strong>in</strong>g demand for autonomous vehicles. For <strong>in</strong>stance, accord<strong>in</strong>g<br />

to the World Health Organization (WHO), 2015, fatalities of 1.25 million people were reported<br />

and 50 million people were <strong>in</strong>jured, due to road accidents globally. Therefore, us<strong>in</strong>g<br />

autonomous vehicles could reduce accidents due to human errors. Key automakers are focus<strong>in</strong>g<br />

on develop<strong>in</strong>g autonomous vehicles, which is expected to aid <strong>in</strong> growth of the market. For


<strong>in</strong>stance, Volkswagen is expected to launch self-driv<strong>in</strong>g cars by 2019 and BMW is expected to<br />

launch autonomous iNext by 2021. Moreover, fleet operators are also focus<strong>in</strong>g on deploy<strong>in</strong>g<br />

self-driv<strong>in</strong>g cars, <strong>in</strong> order to enhance their market share. For <strong>in</strong>stance, 2016, NuTonomy—a U.S.-<br />

based company, announced its plans to deploy self-driv<strong>in</strong>g taxi services <strong>in</strong> S<strong>in</strong>gapore by 2018,<br />

and plans to be operational with fleets of self-driv<strong>in</strong>g taxies <strong>in</strong> 10 cities of the world by 2020.<br />

Deep learn<strong>in</strong>g segment is expected to hold the largest share <strong>in</strong> the market over the forecast<br />

period<br />

Deep learn<strong>in</strong>g segment held the largest share <strong>in</strong> 2016 and is projected to reta<strong>in</strong> its dom<strong>in</strong>ance<br />

throughout the forecast period. Increas<strong>in</strong>g use of deep learn<strong>in</strong>g by automotive manufacturers<br />

such as Audi, Delphi, Ford, and Volkswagen for various applications such as data analysis, speech<br />

recognition, image process<strong>in</strong>g has led to growth of this segment.<br />

<strong>Artificial</strong> <strong>in</strong>telligence <strong>in</strong> automotive market- Regional Insights<br />

The global artificial <strong>in</strong>telligence market is segmented on the basis of regions <strong>in</strong>to North America,<br />

Europe, Asia Pacific, Lat<strong>in</strong> America, and Middle East, and Africa. North America is expected to<br />

account for the largest market share <strong>in</strong> the artificial <strong>in</strong>telligence <strong>in</strong> automotive market over the<br />

forecast period. This is due to existence of government <strong>in</strong>itiatives regard<strong>in</strong>g the enhancement<br />

of the automotive vehicles. For <strong>in</strong>stance, <strong>in</strong> 2016, the US government has <strong>in</strong>vested US$ 4 billion<br />

for autonomous vehicles. Also, high presence of market leaders such as Qualcomm Inc., Ford<br />

Motor Company, and General Motors Company is another factor for growth of this market. U.S.<br />

and Canada are the growth eng<strong>in</strong>es <strong>in</strong> North America.<br />

Browse more about the research report @<br />

https://www.coherentmarket<strong>in</strong>sights.com/ongo<strong>in</strong>g-<strong>in</strong>sight/artificial-<strong>in</strong>telligence-<strong>in</strong>-automotive-market-1347<br />

<strong>Artificial</strong> <strong>in</strong>telligence <strong>in</strong> automotive market- Competitive Background<br />

Major players of global artificial <strong>in</strong>telligence <strong>in</strong> automotive market are Qualcomm Inc. (U.S.),<br />

Tesla Inc., Volvo Car Corporation, BMW AG, Audi AG (Germany), General Motors Company<br />

(U.S.), Ford Motor Company (U.S.), Toyota Motor Corporation (Japan), Hyundai Motor<br />

Corporation (South Korea), Uber Technologies Inc. (U.S.), and Apple Inc.


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analysis through various recommendations related to emerg<strong>in</strong>g market trends, technologies,<br />

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