Artificial Intelligence in Transportation Market Condition 2030: Key Players, Trends, Drivers, Challenges & Forecast


Posted April 8, 2019 by bhosale

Artificial Intelligence in Transportation Market Share| Forecast 2030

 
According to the new market research report "Artificial Intelligence in Transportation Market by Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), Application (Semi & Full-Autonomous, HMI, Platooning), Offering (Hardware, Software), Process, and Region - Global Forecast to 2030", published by MarketsandMarkets™, The artificial intelligence in transportation market is projected to grow at a CAGR of 17.87% from 2017 to 2030, and the market size is expected to grow from USD 1.21 Billion in 2017 to USD 10.30 Billion by 2030. The increasing government regulations for vehicle safety, growing adoption of advanced driver assistance systems (ADAS), and development of autonomous vehicles play a significant role in the growth of this market.

Truck platooning is projected to be the next emerging segment for the artificial intelligence in transportation market. Artificial intelligence technologies such as sensor fusion, signal recognition, forward collision warning, and lane keep assist are the key drivers for truck platooning. The growing environmental concerns, increasing fuel efficiency, stringent government regulations for emission, and concerns of traffic congestion have accelerated the growth of the truck platooning market. According to the ITS4CV (Intelligent Transport Systems for Commercial Vehicles) study by Ertico, platooning can reduce CO2 emissions by up to 16% from the trailing vehicles and up to 8% from the lead vehicle, as the trucks drive closer together at a constant speed, with less accelerating and braking. The market players such as Volvo, Scania, Daimler, Otto, and MAN are consistently improving their truck platooning systems.

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North America is estimated to be the largest market for artificial intelligence in transportation, in terms of value. Trucks are the major contributor to the transportation sector of North America. The regulatory developments such as Compliance, Safety, and Accountability (CSA) and Hours of Service Solution (HOS) revisions are expected to drive the growth of the transportation industry in the region. Hence, the artificial intelligence transportation market is expected to see substantial growth. Also, the strong financial position of the region allows these countries to invest heavily in leading technologies in the field of Artificial Intelligence. For instance, according to the Center for Automotive Research, Mexico has received investments of USD 20.00 billion for the automotive sector in the past 4 years. Asia Oceania is estimated to be the fastest growing market for artificial intelligence in transportation, in terms of value. The market growth in the region can be attributed to strong economic growth, booming logistics and supply chain sector, shift of unorganized 3PL (third-party logistics) sector to organized sector, and steadily growing population. These factors have played a vital role in the increasing production and sale of commercial vehicles, mainly trucks.

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Deep learning technology is estimated to be the largest and fastest growing segment of artificial intelligence in the transportation market, by machine learning technology. The deep learning technology is widely used in the development of autonomous vehicles, which need to see, think, drive, and learn. The last step is “learn,” where deep learning will be critical for achieving fully autonomous vehicles. Many companies are investing in the development of self-driving trucks, which use deep learning technology for image processing, speech recognition, and data analysis. Autonomous trucks are projected to be the fastest growing segment of the artificial intelligence in the transportation market, by application. Autonomous trucks are the major target for the application of artificial intelligence technology. Up until now, AI technology research was focusing on traffic and navigation system, but now the focus has shifted to make fully autonomous trucks. Many manufacturers such as Volvo (Sweden), Scania (Sweden), and Daimler (Germany) are developing and testing fully autonomous trucks.

Some of the key manufacturers operating in the market are Volvo (Sweden), Daimler (Germany), Scania (Sweden), Bosch (Germany), Intel (US), and NVIDIA (US).
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Last Updated April 8, 2019