Emergen Research’s latest document, titled ‘Global Artificial Intelligence in Transportation Market - Forecast to 2028,’ is one of the most sought-after market reports involving an in-depth analysis of the global Artificial Intelligence in Transportation market. The writers of the report have provided the necessary information on the most recent market trends for keywords as well as the key factors that will affect market development over the short- and long-terms. Its comprehensive analysis of the Artificial Intelligence in Transportation market offers insightful information on the projected market size, revenue share, and sales and distribution channels. Readers will undoubtedly benefit from such insightful market information as they describe this sector's major outcomes in the near future. Additionally, they are designed to help companies operating in this industry make wise decisions and create profitable company plans. Some of the most renowned venture capitalists in the world are among the report's main addressees. These people can get a clear picture of the competitive landscape of the international keyword industry from the report. The coronavirus outbreak has led to drastic changes in the current Artificial Intelligence in Transportation business landscape, limiting the growth opportunities for various manufacturers and buyers for the next few years. The report eventually offers conclusive data related to the Artificial Intelligence in Transportation market growth assessed on both regional and global levels.
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 geographical areas:
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East Africa
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
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.
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This report is the latest document encompassing the massive changes that took place in the Artificial Intelligence in Transportation market following the emergence. The pandemic has drastically affected the global economic landscape, thereby disrupting the operating mechanism of the Artificial Intelligence in Transportation market. The severe global crisis has prompted organizations to efficiently respond to the rapidly shifting business environment.
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
Key questions addressed in the report:
- What are the key factors driving the global Artificial Intelligence in Transportation market?
- Who are the key manufacturers in this market space?
- Who are the distributors, traders and dealers of this market?
- What are the market opportunities and risks affecting the performance of the vendors in the global Artificial Intelligence in Transportation market?
- What are the sales and revenue estimations for the top manufacturers in this market over the projected timeline?
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