Press Release

This study offers a comprehensive, 360 degree analysis on the Artificial Intelligence in Transportation Market, bringing to fore insights that can help stakeholders identify the opportunities as well as challenges. It tracks the global Artificial Intelligence in Transportation Market across key regions, and offers in-depth commentary and accurate quantitative insights. The study also includes incisive competitive landscape analysis, and provides key recommendations to market players on winning imperatives and successful strategies.

Artificial intelligence is used in prediction & finding of traffic accidents and circumstances (by converting traffic sensors into intelligent agents with the help of cameras), it is used in deciding control & optimization problems. The rise in the government policy for vehicle safety, rising adoption of advanced driver assistance systems (ADAS), and progress of autonomous vehicles play a crucial role in the growth of artificial intelligence in transportation market . The major issues restraining the growth of the artificial intelligence in transportation market is the high price of artificial intelligence systems and infrastructure improvement cost. Truck Platooning and increasing level of autonomy are some prospects for artificial intelligence in transportation market. Cyber security, and data privacy are encounters for artificial intelligence in transportation market .

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Leading Key Market Players:- Daimler AG, Volvo Group, Scania Group, PACCAR Inc, Robert Bosch GmbH, Valeo SA, NVIDIA Corp, Intel Corp, Continental AG, ZF Friedrichshafen AG

Key Benefits:

  • The study provides an in-depth analysis of the global Artificial Intelligence in Transportation Market to elucidate the prominent investment pockets.
  • Current trends and future estimations are outlined to determine the overall attractiveness and single out profitable trends to gain a stronger foothold in the market.
  • The report provides information related to key drivers, restraints, and opportunities and their impact analysis.
  • The market is analyzed based on various regions, namely, North America, Europe, Asia-Pacific, and LAMEA.

Artificial Intelligence in Transportation Market Report presents a complete assessment of the market and contains a market forecast, market share, market size, future trend, key players, current growth factors and industry validated market data.

Autonomous trucks are expected to be the firmest rising section of the global artificial intelligence in transportation market, by application. Autonomous trucks are the key objective for the submission of artificial intelligence technology. AI technology research was converging on traffic and navigation system, but now the focus has loosened to make fully autonomous trucks. Trucks are the key contributor to the transportation sector of North America.

The Artificial intelligence in transportation market is segmented on the basis of offering, type, application, technology, and process type. On the basis of offering, market is segmented as software, and hardware. On the basis of application market is segmented as HMI and ADAS. On the basis of technology type market is segmented as deep learning, computer vision, and NLP. On the basis of process type market is segmented as signal recognition, and data mining.

Besides this, the report analyzes factors affecting Artificial Intelligence in Transportation Market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions considered in the global Artificial Intelligence in Transportation Market report.

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The Insight Partners is a one stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. We are a specialist in Technology, Healthcare, Manufacturing, Automotive and Defense.

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This post was originally published on The Picayune Current