Artificial Intelligence in Transportation Market Statistics, Overview, Scope, Competitive Landscape and Industry Analysis Report by 2028

 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, 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.

 The research methodologies used for evaluating the artificial intelligence in transportation market are inventive and also provides enough evidence on the demand and supply status, production capability, import and export, supply chain management and investment feasibility. The investigative approach applied for the extensive analysis of the sale, gross margin and profit generated by the industry are presented through resources including tables, charts, and graphic images. Importantly, these resources can be easily integrated or used for preparing business or corporate presentations.

To know more about the report, visit @https://www.emergenresearch.com/industry-report/artificial-intelligence-in-transportation-market

The key companies studied 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.

The Global Artificial Intelligence in Transportation Market report presents comprehensive information covering insightful data for businesses and investors for the time period of 2020-2028. The report studies the historical data of the Artificial Intelligence in Transportation market and offers valuable information about the key segments and sub-segments, revenue generation, demand and supply scenario, trends, and other vital aspects. The report offers an accurate forecast estimation of the Artificial Intelligence in Transportation industry based on the recent technological and research advancements. It also offers valuable data to assist the investors in formulating strategic business investment plans and capitalize on the emerging growth prospects in the Artificial Intelligence in Transportation market.

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The report addresses the following key points:

  • The report estimates the expected market size from 2020-2028
  • The report provides a forecast of market drivers, restraints, and future opportunities for the Artificial Intelligence in Transportation market
  • The report further analyses the changing market dynamics
  • Regional analysis and segmentation of the market with analysis of the regions and segments expected to dominate the market growth
  • Extensive competitive landscape mapping with profiles of the key competitors
  • In-depth analysis of business strategies and collaborations such as mergers and acquisitions adopted by the key companies
  • Revenue forecast, country scope, application insights, and product insights

Emergen Research has segmented the global Artificial Intelligence in transportation market in terms of process, learning technology, application, and region:

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

On the basis of regional analysis, the market is segmented into the following regions: North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. The market is expected to be dominated by North American nations closely followed by European countries. Asia Pacific is expected to show a significant growth owing to recent advancements and rising investments in the R&D sector.

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