The Global Artificial Intelligence in Transportation Market research study published by Emergen Research is an extensive collection of insightful information about the Artificial Intelligence in Transportation industry. The report covers the Artificial Intelligence in Transportation Market segmentation along with a detailed outline of the Artificial Intelligence in Transportation market size with regards to volume and valuation. The report provides comprehensive coverage of the Artificial Intelligence in Transportation market scenario for the current period and forecast timeline of 2021-2028. Every industry vertical, segment, end-use industry, application, and region's historical, current, and forecast revenues are thoroughly examined in the Artificial Intelligence in Transportation market report. In-depth research is done in the study on the factors affecting the industry's growth as well as the growth of the Artificial Intelligence in Transportation market. The report goes into great detail about the pandemic's effects on the Artificial Intelligence in Transportation business, both good and bad. Economic volatility and supply chain disruptions have changed the way the Artificial Intelligence in Transportation business operates. The study investigates how the pandemic has affected the market's major segments and geographical areas.
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 further sheds light on the emerging growth opportunities, challenges, market threats, limitations, and factors likely to restrict the growth of the Artificial Intelligence in Transportation market. The report further discusses in detail the market in international waters and the emerging trends in those regions. It also offers insights into the competitive landscape, market drivers, industrial scenario, and the latest product and technological developments to offer a comprehensive overview of the Artificial Intelligence in Transportation market landscape.
The key companies studied 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
On the basis of regional analysis, the market is segmented into the following regions: North America, Latin America, Europe, Asia Pacific, and Middle East Africa. The market is expected to be dominated by North American nations closely followed by European countries. Asia Pacific is expected to show a significant growth owing to recent advancements and rising investments in the RD sector.
The Artificial Intelligence in Transportation research report also includes an insightful study of the prominent players of the industry along with their business overview, strategic planning, and business expansion plans adopted by them. This assists the readers and business owners in formulating strategic expansion and investment plans. The report focuses on mergers and acquisitions, joint ventures, collaborations, partnerships, corporate and government deals, and others. The report also talks about the expansions these prominent players are vying for in the key regions of the market. The report focuses on the detailed analysis of the technological and product developments undertaken by these companies.
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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
The report addresses the following key points:
- The report estimates the expected market size from 2020-2027
- The report provides a forecast of market drivers, restraints, and future opportunities for the Artificial Intelligence in Transportation market
- The report further analyses the changing market dynamics
- Regional analysis and segmentation of the market with analysis of the regions and segments expected to dominate the market growth
- Extensive competitive landscape mapping with profiles of the key competitors
- In-depth analysis of business strategies and collaborations such as mergers and acquisitions adopted by the key companies
- Revenue forecast, country scope, application insights, and product insights
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