The goal of the most recent market intelligence report, "Global Artificial Intelligence in Transportation Market", is to provide the intended audience with essential details about the global keyword industry. The study includes a detailed discussion of the report's key drivers, restrictions, opportunities, limitations, threats, and micro- and macroeconomic factors affecting the Artificial Intelligence in Transportation market. The report conducts extensive research on the factors that have an impact on the expansion of the Artificial Intelligence in Transportation market as well as the expansion of the industry. The report goes into great detail about the benefits and drawbacks of the pandemic for the Artificial Intelligence in Transportation industry. The Artificial Intelligence in Transportation industry's dynamics have changed as a result of economic volatility and disruptions to the supply chain. The report looks at how the pandemic affected the market's most important segments and regions. Accordingly, Emergen Research's report on the Artificial Intelligence in Transportation Market is an in-depth compilation of the most important aspects of the market, such as product offerings by key players, wide range of applications. of these products, key market segments, key competitors, company profile, pricing strategy, production capacity, revenue generation strategy, technological advancement, etc. The global economic landscape has been dramatically altered by the pandemic, disrupting the workings of the Artificial Intelligence in Transportation market. The analysis goes into great detail about the market's current state and its long-term growth potential. The report offers a well-organized database of Artificial Intelligence in Transportation market dynamics to aid market researchers in forecasting the growth rate of the global market throughout the course of the forecast year. The Artificial Intelligence in Transportation market research provides a complete analysis of the past, present, and anticipated revenues for each industry vertical, segment, end-use industry, application, region, and industry vertical. Organisations have been forced to successfully adjust to the rapidly shifting business environment due to the catastrophic global crisis. The research also assesses the short- and long-term effects of the epidemic on the keyword business.

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.

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The global Artificial Intelligence in Transportation market has been categorized on the basis of key geographical regions into North America, Asia Pacific, Europe, Latin America, and Middle East & Africa. It evaluates the presence of the global Artificial Intelligence in Transportation market in the major regions with regards to market share, market size, revenue contribution, sales network and distribution channel, and other key elements.

Leading companies profiled in the report:

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

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On the basis of type, the market is segmented into

• 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

In addition, the analytical data are presented in a well-organized format in the form of charts, tables, graphs, figures, and diagrams in the report. This makes it easier for readers to comprehend the market scenario in a beneficial way. In addition, the report aims to provide a forward-looking perspective and an instructive conclusion to assist the reader in making profitable business decisions. The report concludes with a comprehensive SWOT and Porter's Five Forces analysis of the segments anticipated to dominate the market, regional bifurcation, estimated market size and share, and more.

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