by on September 25, 2023
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The Global Artificial Intelligence in Transportation Market Research Report is a detailed document describing recent advancements and developments in the field of Artificial Intelligence in Transportations considering 2019 as the base year and 2021-2028 as the forecast timeframe. The paper examines the pandemic's present and potential effects as well as the post-pandemic commercial environment. Market size, market share, sales channels, distribution networks, market segments, needs, trends, and growth prospects are all covered in great detail in the report. Also included are profiles of established and emerging players, including business overviews, product portfolios, strategic alliances, and business expansion strategies. Due to travel restrictions and the influence lockdowns have on supply and demand, the current COVID-19 epidemic is anticipated to have an impact on the expansion of the keyword business.  The study also discusses the market's growth on a national and international scale. Supply chain disruptions and economic instability have severely impeded market expansion in several critical regions. The COVID-19 pandemic has affected several sectors of the global market, and Artificial Intelligence in Transportation is certainly one of them. The economy's recession and the dynamic fluctuations in demand would further impede the sector's expansion. The study discusses the impact of COVID-19 on the entire Artificial Intelligence in Transportation 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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Key companies profiled in the report include:

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

Regional analysis includes an in-depth study of the key geographical regions to gain a better understanding of the market and provide an accurate analysis. The regional analysis covers North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. The regional analysis covers the analysis of key market segments, including revenue, CAGR, import/export, supply and demand ratio, production and consumption ratio, industrial chain analysis, and market dynamics in each region of the geographies.

The paper provides a thorough examination of the worldwide and regional markets for keywords and forecasts the market for the next eight years. The market's drivers, restrictions, limitations, growth prospects, challenges, opportunities, and current and upcoming trends are all thoroughly covered in the report. In-depth analysis of the market participants' businesses, product portfolios, technical breakthroughs, expansion plans, financial status, and international positions is also provided in the study. It also gives light on the competitive landscape's joint ventures, partnerships, product launches, brand promotions, business and government relationships, licensing agreements, and other types of collaborations.

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

The report further covers comprehensive SWOT analysis and Porter’s Five Forces analysis to offer a complete understanding of the competitive landscape and scenario of each market player. The report also provides an in-depth analysis of the applications and product types offered in the market.

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