Press release
How is the Increasing Development of Autonomous Vehicles Fuelling the Surge of Global Artificial Intelligence (AI) in Transportation Market? Top Key Players are Daimler AG, Volvo Group, Scania Group, MAN SE, PACCAR, Continental, Valeo, NVIDIA, Intel Corpo
From the early stages of transportation of passengers and objects, i.e. the use of bullock carts, the transportation industry has now reached at a point where the development of self-driving cars has been made possible. This giant leap of course included a number of advancements in the technology of vehicles. Today vehicles are common machines for almost everyone and life without them is to most extent unimaginable. Technology has been majorly responsible for providing mankind with the transportation system as it is known today, and is it safe to say that there no bounds to its applications for the betterment of the systems even at this day.Artificial Intelligence (AI) in Transportation Market Key Players are:
1- Daimler AG
2- Volvo Group
3- Scania Group
4- MAN SE
5- PACCAR
6- Continental
7- Valeo
8- NVIDIA
9- Intel Corporation
10- Microsoft
11- Alphabet Inc.
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According to a P&S Intelligence report, the global AI in transportation market generated a revenue of $1.4 billion in 2017 and is predicted to reach a value of $3.5 billion by 2023, advancing at a 16.5% CAGR during the forecast period (2018-2023). The two major applications of AI in the industry are advance driver assistance system (ADAS) and human machine interface (HMI). In the past, the larger demand for AI was created for the HMI application, which is attributed to the high penetration of this technology in trucks as compared to ADAS. However, it is expected that the integration od ADAS in vehicles will increase considerably in the coming years.
The major AI technologies used in the transportation sector are natural language processing (NLP), deep learning, and computer vision. Deep leaning technology was used the most in the industry in the past, owing to the fact that it enables the vehicle to become intelligent in different situations pertaining to weather conditions and road terrain. The two main processes of AI are signal recognition and data mining, between which, the demand for signal recognition was higher in the past. This is because of the fact that signals in the form of tracking, mapping, gestures, and text are being utilized widely for several applications including traffic sign detection.
In the years to come, North America is projected to emerge as the largest AI in transportation market, which is ascribed to the rising sales of premium trucks in the region. In addition to this, governments in the region are increasingly encouraging the development of autonomous vehicles by providing funding. Apart from this, the Asia-Pacific region is also projected to register a significant rise in the utilization of AI in the transportation industry in the near future, owing to the growing digitization.
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Key Questions Answered in the Report
o What is the current scenario of the AI in transportation market?
o What are the emerging technologies for the development of the AI in transportation market?
o What is the historical and the present size of the categories within the market segments and their future potential?
o What are the major catalysts for the market and their expected impact during the short, medium, and long terms?
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About P&S Intelligence
P&S Intelligence is a provider of market research and consulting services catering to the market information needs of burgeoning industries across the world. Providing the plinth of market intelligence, P&S as an enterprising research and consulting company, believes in providing thorough landscape analyses on the ever-changing market scenario, to empower companies to make informed decisions and base their business strategies with astuteness.
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