Artificial Intelligence In Transportation Market Analysis By Share, Statistics, Demand, and Forecast

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.

The global Artificial Intelligence in transportation market report by Emergen Research is the latest document covering the changes in the market dynamics and trends that have followed the COVID-19 outbreak. The global health emergency has brought about unprecedented changes in the global economic scenario, drastically affecting the Artificial Intelligence in transportation market landscape, disrupting its supply chains, and causing volatility in prices and demand for products.

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 The leading market contenders listed 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

Key reasons to buy the Global Artificial Intelligence in Transportation Market report:

The latest report comprehensively studies the global Artificial Intelligence in Transportation market size and provides useful inference on numerous aspects of the market, such as the current business trends, market share, product offerings, and product share.
The report offers an insightful analysis of the regional outlook of the market.
It offers a detailed account of the end-use applications of the products services offered by this industry.
The report holistically covers the latest developments taking place in this industry. Therefore, it lists the most effective business strategies implemented by the market rivals for ideal business expansion.
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 Market Segmentations of the Artificial Intelligence in Transportation Market

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
 

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 Regional Outlook of the Artificial Intelligence in Transportation Market

The global Artificial Intelligence in Transportation market has been categorized into several important geographical regions, including North America, Europe, Asia Pacific, Latin America, and Middle East Africa. In this section, authors of the report have studied the presence of the global Artificial Intelligence in Transportation market across major geographies. Moreover, the estimated market share, market size, revenue contribution, sales network and distribution channel, and other crucial elements of each regional segment have been detailed in the report.

The research provides answers to the following key questions:

What will be the growth rate of the Artificial Intelligence in Transportation market for the forecast period, 2020 to 2030? What will be the market size and the share occupied by the prominent vendors by the estimated period?
What are challenges and threats faced by the prominent vendors operating in the Artificial Intelligence in Transportation market?
Who are the prominent vendors and what has been their business strategy so far to maintain a competitive edge over their competitors?
What are the past, present and emerging trends likely to influence the growth rate of the Artificial Intelligence in Transportation market for the forecast period, 2022 to 2030?
What are the opportunities prominent vendors can bank on to generate more profits during the estimated period?
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