Artificial Intelligence in Transportation Market Size, Share, Top Key Players, Growth, Trend and Forecast Till 2028
Global Artificial Intelligence in Transportation Market Research by Emerging Research is a comprehensive compilation of relevant data on the keyword industry. The report provides in-depth research on the variables influencing both the industry’s and the Artificial Intelligence in Transportation Market’s growth. The positives and cons of the pandemic for the keyword business are discussed in length in the paper. Look at how you can utilize the current and potential revenue-generating opportunities available in this sector. We believe that there are significant prospects for energy storage technology in this industry due to the rapid expansion of the technology. The report discusses the Artificial Intelligence in Transportation Market segment and provides a detailed description of the Artificial Intelligence in Transportation Market volume and valuation. The Artificial Intelligence in Transportation Market scenario for the current period and the projected timeframe from 2021 to 2028 are both covered in depth in this report. Due to the instability of the economy and the disruptions in the supply chain, the dynamics of the keyword industry have changed. The paper looks at the most significant market segments and geographical regions to understand how the pandemic has affected them. To increase market share, obtain financial assessments of each market segment and the whole market. In addition to helping you create growth strategies, improve competitive analyses, and increase business productivity, the study will help you make better strategic decisions. The Artificial Intelligence in Transportation Market study provides a complete analysis of historical, current, and forecast revenue for each vertical, segment, end-use industry, application, region, and vertical.
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 keyword research report also includes an in-depth analysis of the key players in the market, as well as their implemented company expansion, strategic planning, and business overview plans. This helps readers and business owners create plans for strategic investment and expansion. The study focuses on business and government transactions, as well as mergers and acquisitions, joint ventures, collaborations, and partnerships. The expansions that these well-known firms are vying for in the key market areas are also discussed in the report. The examination of the technological and product developments made by these companies is the main emphasis of the report.
The research also discusses obstacles, risks to the market, restrictions, and other elements that may impede the expansion of the keyword industry. The market in foreign waters and the new trends in those areas are also covered in detail in the research. In order to provide a thorough picture of the Artificial Intelligence in Transportation market landscape, it also provides insights into the competitive landscape, market drivers, industrial scenario, and the most recent product and technology breakthroughs.
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 R&D sector.
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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.
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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