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.
The artificial intelligence in transportation market research for the forecast period, 2020 to 2028 cannot be underestimated for the reason that it offers a real-time data on the target market; identifies customer problems and outlines the immediate competitors. The simplified document speaks about how company owners plan to keep up with the market trends.
Major Players/Manufacturers profiled 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.
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Emergen Research has recently published a new research report on global Artificial Intelligence in Transportation market that provides key insights into profit margin, industry chain analysis, recent developments and advancements, growth opportunities, year-on-year growth along with SWOT analysis, Porter’s Five Forces analysis, and PESTEL analysis. It covers key statistical data including historical and current market size, market share, and revenue growth with organized representation such as tables, charts, graphs, and other pictorial representations. The report focuses on the key market elements to ensure the readers gain a competitive advantage and maximum benefit of the market data to assist them in achieving substantial growth and global position in the market.
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Emergen Research has segmented the global Artificial Intelligence in transportation market in terms of process, learning technology, application, and region:
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 offers a comprehensive breakdown of the regional analysis of the market and subsequent country-wise analysis. The regional analysis of the market comprises of production volume information, consumption volume and patterns, revenue, and growth rate for the forecast period of 2020-2027. According to the regional analysis, the market is primarily spread over key geographical regions as follows:
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)
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Key Benefits of the Report:
Comprehensive analysis of the competitive scenario and its changing dynamics
Analytical data with detailed SWOT analysis and Porter’s Five Forces analysis
In-depth 8 year analysis of the Global Artificial Intelligence in Transportation Market
Critical assessment of the key market segments
Comprehensive analysis of the drivers, restraints, trends, and opportunities
Detailed regional analysis and extensive company profiling
Extensive assessment of current and emerging trends of the market
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