Press release
Artificial Intelligence in Transportation Market Size, Share, Growth, top Segmentation, Industry Analysis and Industry Forecast, 2023-2032
Artificial Intelligence in Transportation Market
Artificial intelligence is a computer-operated task that involves human intelligence such as decision making. The market is growing at a significant rate due to mounting government regulation for vehicle safety and security. The market has witnessed high growth for data mining in the past few years due to mounting requirement for prognostic maintenance in the transportation industry. Moreover, the artificial intelligence in transportation market is expected to register a significant growth rate over the forecast period.
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Top impacting factors: Market scenario analysis, trends, drivers, and impact analysis
Advancement of autonomous vehicle and truck platooning is expected to boost the growth to the market during the forecast period. Moreover, high cost of artificial intelligence systems and infrastructure costs are the major challenges for the growth of the market. Furthermore, capacity problems, safety, reliability, environmental pollution, and wasted energy provide lucrative opportunities for AI innovation.
The artificial intelligence in transportation market trends are as follows:
Advancement of autonomous vehicle:
AI is a key technology for autonomous driving systems as it is enables reliable and real-time recognition of objects around a vehicle. Currently, there are several investments specifically for the optimization of self-driving technology by major Original Equipment Manufacturers (OEM). Moreover, implementation of safety features, such as adaptive cruise control, Advanced Driver Assistance System (ADAS), collision warning, and lane-keep assist, also facilitates the growth of the artificial intelligence in transportation market.
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COVID-19 scenario analysis:
Artificial Intelligence (AI) has played a significant role in the fight against COVID-19. Many vaccinations in the process of developing are being tested and better understood by AI.
A drug that has been developed to fight other diseases could now be repurposed to treat coronavirus patients.
AI helps many scientists to check patterns of vaccine with the virus as any vaccination has to pass numerous standard tests through AI before human trials.
AI helps to better understand the structure of coronavirus. Therefore, this helps countries to cognize the spread of deadly viruses and to implement measures to curb the spread.
Truck platooning:
Truck platooning is the link between two or more trucks, which are within the convoy using connectivity technology and automatic driving network. Artificial intelligence technologies, such as forward collision warning, sensor fusion, signal recognition, and lane-keep assist, are expected to boost the demand for truck platooning. Moreover, mounting environmental concerns, strict government regulations for emission, mounting fuel proficiency, and traffic congestion concerns have enhanced the growth of truck platooning in the market.
By Application
Autonomous Trucks
HMI
Semi-Autonomous Trucks
By Machine Learning
Deep Learning
Computer Vision
Context Awareness
Natural Language Processing
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Key Market Players
ZF Friedrichshafen AG,
Robert Bosch GmbH,
Intel Corporation,
Valeo SA Tesla,
Continental AG,
NVIDIA Corporation,
Qlik Technologies Inc,
Alphabet Inc,
Microsoft Corporation
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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
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