One of the most sought-after market reports regarding in-depth analysis of the global Artificial Intelligence in Transportation Market is the most recent report from Emergen Research, titled "Global Artificial Intelligence in Transportation Market - Forecast to year 2028". Finally, the report provides compelling insights into the growth of the global and regional Artificial Intelligence in Transportation Market. The authors of the report provided the necessary information. related to the latest Artificial Intelligence in Transportation Market trends along with important parameters that influence the growth of the market in both short term and long term. They are also intended to help companies in this industry make the right decisions and write profitable business plans. Some of the world's most famous venture capitalists are among the recipients of this very report. These individuals are provided with clear insight into the competitive landscape of the Global Artificial Intelligence in Transportation Market in the report. The coronavirus outbreak has dramatically changed the business landscape of Artificial Intelligence in Transportation, which means that various manufacturers and buyers won't have much growth opportunity over the next few years.
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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One of the report’s central components is the broad Artificial Intelligence in Transportation market segmentation that includes the product type gamut, application spectrum, end-user industry landscape, significant geographical regions, and the top market contenders. The report contains unbiased industry expert opinions on the current market scenario, past market performance, production consumption rates, demand supply ratio, and revenue generation forecasts over the estimated period. The key players’ financial positions, along with their gross profits, sales volumes, sales revenue, manufacturing costs, and other financial ratios, have been accurately gauged in the report. Furthermore, several analytical tools like investment assessment, SWOT analysis, and Porter’s Five Forces Analysis have been implemented by our analysts’ team to evaluate the production and distribution capacities of the Artificial Intelligence in Transportation market players.
Leading Players Profiled in the Report:
Daimler AG, Continental AG, Robert Bosch GmbH, VOLVO, PACCAR Inc., Magna International Inc., ZF Friedrichshafen AG, Scania AB, Valeo, and MAN SE
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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
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