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.

In addition to detailed market projections, the authors of the report have assessed the Artificial Intelligence in Transportation industry quantitatively and qualitatively. In this report, we discuss two of the most important components of this report: SWOT analysis and Porter's Five Forces Analysis. These analyses offer a deep insight into the highly competitive scenario of the industry. In this report, the global Artificial Intelligence in Transportation market is analyzed in relation to major regions in the world, such as North America, Europe, Latin America, Asia Pacific, and Middle East & Africa. Other key aspects of regional markets are also examined in the report, such as revenue growth drivers and restraints, production and consumption patterns, changing consumer preferences, and stringent regulatory regulations.

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Key companies operating in the Artificial Intelligence in Transportation market include:

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

Key market aspects studied in the report:

Market Scope: The report explains the scope of various commercial possibilities in the global Artificial Intelligence in Transportation market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.

Key Benefits of the Report:

• Comprehensive analysis of the competitive scenario and its changing dynamics
• Analytical data with detailed SWOT analysis and Porter’s Five Forces analysis
• In-depth 8-year analysis of the Global Artificial Intelligence in Transportation Market
• Critical understanding of the key market segments
• Comprehensive analysis of the drivers, restraints, trends, and opportunities
• Detailed regional analysis and extensive company profiling
• Extensive assessment of current and emerging trends of the market

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Based on the product type, the Artificial Intelligence in Transportation 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

Artificial Intelligence in Transportation Market Segmentation by Regions:

• 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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