Emergen Research's Comprehensive Global Artificial Intelligence in Transportation Market Research Report, added to its ever-expanding collection, contains insights into the Artificial Intelligence in Transportation Market and its key components. The report was created after conducting a great deal of primary and secondary research with the intention of giving readers and businesses a competitive advantage over their counterparts in the sector. The report provides insights into the industry's growth factors Artificial Intelligence in Transportations, opportunities, lucrative business prospects, promising growth areas, and estimated growth rates through 2028. Aside from revenue growth drivers & restraints, production & consumption patterns, changing consumer preferences, and stringent regulatory standards, this report also examines other key aspects of regional markets. According to the analysis, one of the key factors for the market's likely fall in the upcoming years is the present pandemic. Business has been significantly impacted by the epidemic, which has adversely altered demand trends and market dynamics. Financial difficulties brought on by the epidemic have slowed down company expansion globally and affected global supply chains. In order to make an accurate prediction of the keyword market for the next years, the study looks at both the current environment and past data. In-depth analysis of the factors that could promote or prevent market expansion in the following years is also provided by the research. The study offers a thorough evaluation of the pandemic's overall effects on the Artificial Intelligence in Transportation Market and its key categories. The article also discusses how specific market groups have been impacted by the pandemic. It also evaluates the implications of the pandemic, both now and in the future, on the Artificial Intelligence in Transportation market.
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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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)
The report also studies the key companies of the Artificial Intelligence in Transportation market along with analysis of their business strategies, M&A activities, investment plans, product portfolio, financial standing, gross profit margin, and production and manufacturing capacities.
Some players analyzed 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 report further divides the Artificial Intelligence in Transportation market into key segments such as types, applications, end-user industries, technologies, and key regions of the market. The report also sheds light on the segment and region exhibiting promising growth in the Artificial Intelligence in Transportation market.
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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
Additionally, the report's charts, tables, graphs, figures, and diagrams convey the analytical data in an orderly manner. Because of this, it is simpler for readers to understand the market situation in a useful way. In order to help the reader, make wise business decisions, the study also attempts to offer a forward-looking viewpoint and an informative conclusion. A thorough SWOT and Porter's Five Forces analysis of the market segments expected to dominate the market, regional division, estimated market size and share, and more are included in the report's conclusion.
Key Questions Answered by the Report:
Which region is expected to dominate the market in the coming years?
What are the recent technological and product advancements occurring in the market?
What are the key strategies adopted by the prominent players in the Artificial Intelligence in Transportation market?
What are the key product types and applications of the Artificial Intelligence in Transportation industry?
What is the outcome of SWOT analysis and Porter’s Five Forces analysis?
How is the competitive landscape of the Artificial Intelligence in Transportation market?
Who are the key players in the industry?
What is the growth rate of the industry over the coming years?
What will be the valuation of the Artificial Intelligence in Transportation Market by 2027?
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