As part of Emergen Research's Global Artificial Intelligence in Transportation Market Research Report, key business details and extensive geographical spread of the Artificial Intelligence in Transportation industry have been analyzed. The current COVID-19 pandemic is expected to have an effect on the growth of the Artificial Intelligence in Transportation industry, primarily as a result of movement restrictions and impact on supply and demand due to lockdowns. In the wake of the COVID-19 pandemic, Artificial Intelligence in Transportation will probably be one of the markets that have been impacted, along with other sectors. The sector's growth would be further hampered by the recession in the economy and the dynamic shifts in demand. The COVID-19 pandemic's effects on the entire Artificial Intelligence in Transportation industry are covered in the paper. In addition to a thorough qualitative and quantitative examination, the report also includes significant data regarding the Artificial Intelligence in Transportation market. Based on historical data from 2017 and 2018, a thorough projection is given till 2028. Profiles of both established and up-and-coming players are also provided, together with information on their business strategies, product portfolios, strategic alliances, and business expansion plans.

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 report bifurcates the Artificial Intelligence in Transportation market on the basis of different product types, applications, end-user industries, and key regions of the world where the market has already established its presence. The report accurately offers insights into the supply-demand ratio and production and consumption volume of each segment.

Key Companies Profiled 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

Regional Landscape section of the Artificial Intelligence in Transportation report offers deeper insights into the regulatory framework, current and emerging market trends, production and consumption patterns, supply and demand dynamics, import/export, and presence of major players in each region.

The section on the competitive landscape offers valuable and actionable insights related to the business sphere of the Artificial Intelligence in Transportation market, covering extensive profiling of the key market players. The report offers information about market share, product portfolio, pricing analysis, and strategic alliances such as mergers and acquisitions, joint ventures, collaborations, partnerships, product launches and brand promotions, among others. The report also discusses the initiatives taken by the key companies to combat the impact of the COVID-19 pandemic.

The various regions analyzed in the report include:

• 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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Furthermore, the report provides the analytical data in an organized format segmented into charts, tables, graphs, figures, and diagrams. This enables readers to understand the market scenario in an easy and beneficial manner. Moreover, the report aims to impart a prospective outlook and draw an informative conclusion to assist the reader in making lucrative business decisions. The report, in conclusion, provides a detailed analysis of the segments expected to dominate the market, the regional bifurcation, the estimated market size and share, and comprehensive SWOT analysis and Porter’s Five Forces Analysis.

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

Research Report on the Artificial Intelligence in Transportation Market Addresses the Following Key Questions:

• Who are the dominant players of the Artificial Intelligence in Transportation market?
• Which regional market is anticipated to have a high growth rate over the projected period?
• What consumer trends and demands are expected to influence the operations of the market players in the Artificial Intelligence in Transportation market?
• What are the key growth drivers and restraining factors of the Artificial Intelligence in Transportation market?
• What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?
• What is the overall impact of the COVID-19 pandemic on the Artificial Intelligence in Transportation market and its key segments?

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