AI in Transportation Market Share
                     Market Highlights 
The AI in transportation market 2020 is presumed to gain traction in the coming months. AI has the 
potential to ease the traffic and facilitate efficient management. It is transforming the 
transportation industry and is likely to gain a quick mileage over the next couple of years. It has 
many advantages which the governments are now raising awareness about. This, in turn, is 
expected to drive the growth of the market in the near future. An observation provided by Market 
Research Future (MRFR) presents that the global AI in transportation market is expected to mark 
18.03% CAGR over the forecast period 2017 to 2023. The AI in transportation market size is 
anticipated to increase from USD 1.2 Bn in the year 2017 to USD 3.07 Bn by 2023 end. 
Increasing adoption of AI in the transportation sector is highly supported by the governments of 
developed economies. In addition, the developing nations are also inclining towards the adoption of 
AI technology in the transportation industry. These factors are presumed to augment the AI in 
transportation industry in the upcoming years. In addition, the utilization of the technology ensures 
smooth flow of traffic. Increasing road traffic problems over the world is anticipated to drive the 
expansion of the AI in transportation market in the near future. The sales of automobiles are 
projected to further increase, which is prognosticated to catapult the AI in transportation market 
on upward trajectory. Furthermore, AI is expected to find applications in aviation and railways. 
Rising tourism industry is also forecasted to impact the market greatly. The growing amount of air 
traffic is anticipated to lead the AI in transportation market growth in the foreseeable future. 
Technological innovations are further projected to influence the AI in transportation market 
greatly. 
Segmentation: 
On the basis of offerings, the AI in transportation market share has been divided into hardware and 
software. The sub-segments of the software segment are AI platforms and AI solutions. The sub-
segmentation of the hardware segment covers sensors, GPUs, CPUs, and others. 
Based on IoT communications technology, the AI in transportation market has been segmented into 
5G, LTE, and LPWAN.  
On the basis of machine learning technology, the AI in transportation market has been segmented 
into deep learning, natural language processing, computer vision, and context awareness. 
Based on application, the AI in transportation market has been segmented into autonomous truck, 
precision and mapping, semi-autonomous trucks, human-machine interface (HMI), truck 
platooning, predictive maintenance, and others (driverless buses and smart traffic management). 
Regional Analysis 
The geographical evaluation of the global AI in transportation market is included in this report. The 
segments based on region covered in the assessment are North America, Asia-Pacific, Europe, and 
the Rest of the World. These regional segments are narrowed down for a country-level study of the 
market. North America is anticipated to have a leading share of the market and retain it across the 
assessment period. Prominent countries such as Canada and the U.S, that are technologically 
advanced, are based out of the region. It is projected to catalyze the growth rate of the AI in 
transportation market in the region. Europe is also a crucial regional market for AI in 
transportation. The rising investments in the integration of AI into transportation industry by the 
European Union are expected to impact the growth pattern of the AI in transportation market in 
Europe positively. 
Competitive Dashboard 
AG, NVIDIA Corporation, Robert Bosch GmbH, Microsoft Corporation, Daimler AG, Volvo Group, 
Scania Group, Magna International Inc, ZF Friedrichshafen AG, MAN SEPACCAR Inc., Valeo SA, 
Alphabet Inc., Intel Corporation, and IBM Corporation are the key holders of the AI in 
transportation market share.