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Artificial Intelligence in Transportation Market

The artificial intelligence in transportation market is valued at USD 1.00 Billion in 2016 and is projected to grow at a CAGR of 17.87% during the forecast period.

The artificial intelligence in transportation market is valued at USD 1.00 Billion in 2016 and is projected to grow at a CAGR of 17.87% during the forecast period.

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<strong>Artificial</strong> <strong>Intelligence</strong> <strong>in</strong> <strong>Transportation</strong> <strong>Market</strong> worth 10.30 Billion USD by 2030


The artificial <strong>in</strong>telligence <strong>in</strong> transportation market is valued at USD 1.00 billion <strong>in</strong> 2016<br />

and is projected to grow at a CAGR of 17.87% dur<strong>in</strong>g the forecast period. The base year<br />

considered for the study is 2016 and the forecast period is from 2017 to 2030. Grow<strong>in</strong>g<br />

demand for safety & security and <strong>in</strong>creas<strong>in</strong>g focus toward reduc<strong>in</strong>g the operat<strong>in</strong>g cost of<br />

transportation have triggered the growth of the artificial <strong>in</strong>telligence market for<br />

transportation.


Target audience of artificial <strong>in</strong>telligence <strong>in</strong> transportation market<br />

• <strong>Artificial</strong> <strong>in</strong>telligence hardware and software suppliers<br />

• Raw material manufacturers of artificial <strong>in</strong>telligence system components<br />

• Automotive OEMs<br />

• <strong>Artificial</strong> <strong>in</strong>telligence service/solution providers<br />

• Industry associations and connected vehicle systems manufacturers<br />

• Government’s national and regional environmental regulatory agencies or<br />

organizations<br />

• The automobile <strong>in</strong>dustry and related end-user <strong>in</strong>dustries<br />

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Brochure<br />

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1260227


Scope Of The Report<br />

<strong>Artificial</strong> <strong>Intelligence</strong> <strong>in</strong> <strong>Transportation</strong> <strong>Market</strong>, By Application<br />

• Autonomous Trucks<br />

• HMI <strong>in</strong> Trucks<br />

• Semi-Autonomous Trucks<br />

<strong>Artificial</strong> <strong>Intelligence</strong> <strong>in</strong> <strong>Transportation</strong> <strong>Market</strong>, By Mach<strong>in</strong>e Learn<strong>in</strong>g Technology<br />

• Deep Learn<strong>in</strong>g<br />

• Computer Vision<br />

• Context Awareness<br />

• Natural Language Process<strong>in</strong>g


Key players<br />

The key software & Tier- I suppliers profiled <strong>in</strong> the report <strong>in</strong>clude Cont<strong>in</strong>ental AG<br />

(Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US). These systems and<br />

technologies are supplied to automotive OEMs such as Volvo (Sweden), Daimler<br />

(Germany), Scania (Sweden), and others.<br />

Sample Copy<br />

https://www.marketsandmarkets.com/requestsampleNew.asp?id=2<br />

61260227


North America is estimated to be the lead<strong>in</strong>g market for artificial <strong>in</strong>telligence <strong>in</strong><br />

transportation.<br />

<strong>Transportation</strong> plays a significant role <strong>in</strong> the north American economy. Accord<strong>in</strong>g to<br />

American trucker association, there are 8.7 million truck-related jobs <strong>in</strong> the US, and the<br />

country still faces a shortage of truck drivers. Hence, major developments related to<br />

autonomous driv<strong>in</strong>g of trucks are tak<strong>in</strong>g place <strong>in</strong> this country. Additionally, <strong>in</strong>centives and<br />

high level of fund<strong>in</strong>g from the government plays a major role <strong>in</strong> the development of this<br />

technology. For <strong>in</strong>stance, <strong>in</strong> 2016, the US government spent USD 4.00 billion to accelerate<br />

the acceptance of autonomous vehicles on US roads. Also, the central north american<br />

trade corridor association is plann<strong>in</strong>g to develop a driverless truck corridor from mexico<br />

to manitoba. Also, the region is home to lead<strong>in</strong>g technology companies such as microsoft<br />

(US), <strong>in</strong>tel (US), and NVIDIA (US), which offer various AI technologies for vehicles <strong>in</strong><br />

partnership with oems. Therefore, the north american region has a great potential for the<br />

growth of the artificial <strong>in</strong>telligence <strong>in</strong> transportation market.


BROWSE 76 MARKET DATA TABLES AND 53 FIGURES SPREAD THROUGH 187 PAGES AND IN-<br />

DEPTH TOC ON "ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET BY MACHINE LEARNING<br />

(DEEP LEARNING, COMPUTER VISION, CONTEXT AWARENESS, NLP), APPLICATION (SEMI & FULL-<br />

AUTONOMOUS, HMI, PLATOONING), OFFERING (HARDWARE, SOFTWARE), PROCESS, AND<br />

REGION - GLOBAL FORECAST TO 2030"<br />

This study answers several questions for the stakeholders, primarily which market<br />

segments to focus on <strong>in</strong> the next two to five years to prioritize efforts and <strong>in</strong>vestments.<br />

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Early buyers will receive 10% customization on reports.


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market research reports. Serv<strong>in</strong>g 1700 global fortune enterprises with more than 1200<br />

premium studies <strong>in</strong> a year, M&M is cater<strong>in</strong>g to a multitude of clients across 8 different<br />

<strong>in</strong>dustrial verticals. We specialize <strong>in</strong> consult<strong>in</strong>g assignments and bus<strong>in</strong>ess research<br />

across high growth markets, cutt<strong>in</strong>g edge technologies and newer applications. Our 850<br />

fulltime analyst and smes at <strong>Market</strong>sand<strong>Market</strong>s are track<strong>in</strong>g global high growth<br />

markets follow<strong>in</strong>g the "growth engagement model – GEM". The GEM aims at proactive<br />

collaboration with the clients to identify new opportunities, identify most important<br />

customers, write "attack, avoid and defend" strategies, identify sources of <strong>in</strong>cremental<br />

revenues for both the company and its competitors.


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