Artificial Intelligence in Transportation Market Analysis By Industry Share, Merger

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Rising demand for safety and security in transportation and efficient traffic management are key factors influencing market growth.

Our team of analysts meticulously curated the new Emergen Research publication titled "Global Artificial Intelligence in Transportation Market" with readers' comprehension in mind and included a comprehensive database of industry distribution. In order to accurately predict the outlook for the global Artificial Intelligence in Transportation market over the forecast period (2021-2028), The paper delves deeper into both historical and contemporary market circumstances. The report makes use of powerful analytical methods like Porter's Five Forces and SWOT analysis to assess the benefits, drawbacks, opportunities, and threats related to the expansion of distinct market segments. The report's essential facts, such the market shares of the top companies, can help the reader gain a thorough picture of the Artificial Intelligence in Transportation industry. Researchers' analyses of the global market have highlighted the variables that affect the market's overall growth.

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 is highly consolidated due to the presence of a large number of companies across this industry. These companies are known to make hefty investments in research and development projects. Also, they control a considerable portion of the overall market share, thus limiting the entry of new players into the sector.  The global Artificial Intelligence in Transportation market report studies the prudent tactics undertaken by the leading market players, such as partnerships and collaborations, mergers & acquisitions, new product launches, and joint ventures.

Some of the key participants in this industry include:

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

Key regions covered in the report:

    [*]North America[/*] [*]Europe[/*] [*]Asia Pacific[/*] [*]Latin America[/*] [*]Middle East & Africa[/*]

To learn more details about the Global Artificial Intelligence in Transportation Market report, visit @ https://www.emergenresearch.com/industry-report/artificial-intelligence-in-transportation-market

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.

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
    [/*]

Questions addressed in the report:

    [*]What is the estimated market growth rate throughout the forecast period?[/*] [*]Which end-use industry is expected to witness the highest demand for Artificial Intelligence in Transportation in the near future?[/*] [*]What is the regulatory framework governing the application of Artificial Intelligence in Transportation in the food industry?[/*] [*]Which manufacturing processes are utilized for the production of Artificial Intelligence in Transportation?[/*]

Valuable Market Insights:

    [*]The report highlights the latest trends observed in the consumption pattern of each regional segment.[/*] [*]Extensive market segmentation included in the report helps better understand the revenue and estimated growth of the individual regions.[/*] [*]The report throws light on the historical and current market scenarios and provides a concise year-on-year growth rate of the global Artificial Intelligence in Transportation market.[/*] [*]The report further entails the current market trends, technological advancements, revenue growth, and other aspects affecting market growth.[/*]

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