Bharat Book Bureau Provides the Trending Industry Research Report on “Global AI in Transportation Market Research Report: Information by Offering Hardware, CPU, GPU, Sensors, and Others and Forecast Till 2026”under Automotive Market Report. The report offers a collection of superior Industry research, Industry analysis, competitive intelligence and Industry reports.
Global AI in Transportation Market Research Report—Forecast Till 2026
AI in Transportation Market Overview
The AI in Transportation Market Research Report is anticipated to register a significant CAGR of 18.03% during the review period 2023. The global market growth is attributed to the deep-learning concept used in machine learning. Artificial intelligence is changing the transport area. The AI in transportation includes aiding vehicles, trains, ships, and planes to work independently, and making traffic streams smoother, it is now applied in various transport fields.
Past making our lives simpler, it can assist with making all transport modes more secure, cleaner, more astute, and more proficient. Artificial intelligence-drove independent transport could for example help to lessen the human blunders that are associated with many auto collisions. Nonetheless, with these chances come genuine difficulties, including unseen side-effects and abuse, for example, digital assaults and one-sided choices about transport.
The growing prevalence of road accidents and safety features of AI technology are expected to fuel the global market during the review period. Furthermore, the growing demand for autonomous vehicles with inbuild AI systems is expected to enhance the global market growth in future. However, the high cost of AI system and lack of supportive infrastructure is likely to hinder the global market during the study period.
The global AI in transportation market has been classified not application, offering, learning technology, and application. Based on application the global market is divided into HM in trucks, Autonomous trucks, and Semi-autonomous trucks.
By offering the global AI transportation market has been bifurcated into Hardware and Software.
Based on learning technology the market has been divided into Natural language processing, Deep learning, Computer vision, and Context-awareness. The application segment categorizes the global market into Truck platooning, Autonomous trucks, Semi-autonomous trucks, Human-machine interface, Predictive maintenance, and Precision and mapping.
Geographic analysis of market are Asia Pacific, Europe, and North America. North America is likely to lead the AI transportation market owing to the growing regulatory developments in this area for safety and compliance. Additionally, the strong financial position in this region and the rising investments for AI transportation is expected to fuel the regional market growth during the review period. Mexico has registered the largest market owing to the 20 billion investments for AI transportation.
The Asia Pacific is the quickest developing AI in transportation market. The monetary development and developing logistics are answerable for monstrous interest. Japan is registered the largest market for the regional AI transportation market with the growing adoption of AI technology in vehicles.
Europe is notable for its extraordinary demand for commercial transportation due to existing market players in the region. This will add to higher AI in transportation reception rate in Europe. This load of local players will observer higher productivity furring the conjecture time frame. Likewise, different locales will arise during the gauge time frame.
The key players of the global AI in the transportation market are Daimler, Continental, Volvo, Bosch, Intel, Scania group, NVIDIA Corporation, Microsoft Corporation, Valeo SA, Alphabet Inc, and MAN SEPACCAR.
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