The global Artificial Intelligence in transportation market size is expected to reach USD 7,065.1 Million in 2028 and register a robust CAGR over the forecast period, according to latest analysis by Emergen Research. Steady revenue growth of the Artificial Intelligence in transportation market can be attributed to rising demand for safety and security in transportation and logistics and increasing deployment of more advanced traffic management solutions. Artificial Intelligence (AI) in transportation is used to gather traffic data to decrease traffic congestion and enhance public transport scheduling. AI helps in streamlining traffic patterns through real-time tracking and intelligent traffic light algorithms, thereby enabling smooth traffic flow, which significantly improves various aspects in transportation. Besides, AI helps in decreasing fuel consumption and exhaust emissions, which would otherwise be higher in a normal setting as a result of numerous vehicles moving slowly during a traffic jam or congestion.

Secondly, development policies and plans are discussed as well as manufacturing processes and cost structures. This report also states import/export, supply and consumption figures as well as cost, price, revenue and gross margin by regions (United States, EU, China and Japan), and other regions can be added.

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Competitive Outlook: The leading companies operating in the Artificial Intelligence in Transportation market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.

Top Companies Operating in the Artificial Intelligence in Transportation Market and Profiled in the Report are:

Daimler AG, Continental AG, Robert Bosch GmbH, VOLVO, PACCAR Inc., Magna International Inc., ZF Friedrichshafen AG, Scania AB, Valeo, and MAN SE

Objectives of the Report:

Study of the global Artificial Intelligence in Transportation market size by key regions, types, and applications with reference to historical data (2017-2018) and forecast (2020-2027)

Industrial structure analysis of the Artificial Intelligence in Transportation market by identification of various sub-segments

Extensive analysis of key market players along with their SWOT analysis

Competitive landscape benchmarking

Analysis of Artificial Intelligence in Transportation market based on growth trends, futuristic outlook, and contribution to the total growth of the market

Analysis of drivers, constraints, opportunities, challenges, and risks in the global Artificial Intelligence in Transportation market

Comprehensive analysis of competitive developments such as expansions, agreements, new product launches, and other strategic alliances

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Segments Covered in this report are:

• Process Outlook (Revenue, USD Million; 2021–2028)

  • Signal Recognition
  • Object Recognition
  • Data Mining

• Learning Technology Outlook (Revenue, USD Million; 2021–2028)

  • Deep Learning
  • Context Awareness
  • Computer Vision
  • Natural Language Processing

• Application Outlook (Revenue, USD Million; 2021–2028)

  • Autonomous Trucks
  • HMI Trucks
  • Semi-autonomous Trucks

Regional Analysis:

North America (U.S., Canada)

Europe (U.K., Italy, Germany, France, Rest of EU)

Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)

Latin America (Chile, Brazil, Argentina, Rest of Latin America)

Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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