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AI in Transportation Market Size, Share, Trends Outlook And Global Forecast 2024 To 2033

07-24-2024 09:14 AM CET | IT, New Media & Software

Press release from: The Business Research Company

AI in Transportation Market

AI in Transportation Market

The new report published by The Business Research Company, titled ""AI in Transportation Global Market Report 2024 - Market Size, Trends, And Global Forecast 2024-2033"", delivers an in-depth analysis of the leading size and forecasts, investment opportunities, winning strategies, market drivers and trends, competitive landscape, and evolving market trends.

Download Free Sample Report @ https://www.thebusinessresearchcompany.com/sample.aspx?id=10207&type=smp

Vehicles On The Rise Catalyzing AI Growth In The Transportation Sector
The growing number of vehicles is expected to propel the growth of the AI in transportation market going forward. The increase in the number of vehicles on the road can be attributed to several factors, including population growth, economic development, and the inadequacy of public transportation infrastructure. AI can be used to optimize traffic flow, reduce congestion, and minimize travel times by analyzing real-time traffic data and adjusting signal timings and lane configurations accordingly. For instance, in March 2023, according to an article published by Hedges & Company, a US-based automotive digital marketing company, the registered cars in the US increased by 0.9% from 286.9 million cars in 2020 to 289.5 million cars in 2021. Therefore, the growing number of vehicles is driving the growth of the AI in transportation market.

Strategic Partnerships For Ai-Based Automated Vehicle Inspection
Major companies operating in the AI in transportation market are developing strategic partnerships to access valuable information and resources from other members, fostering innovation and the development of new technologies. Partnerships enable companies to pool their resources and expertise to develop innovative AI-driven transportation solutions. For instance, in October 2023, Amazon, a US-based E-commerce company, partnered with UVeye, a US-based automatic vehicle inspection provider to develop an AI-based technology called Automated Vehicle Inspection (AVI). This technology is designed to inspect delivery vans for anomalies such as tire deformities, undercarriage wear, and bent or warped body pieces. The AVI system performs a full-vehicle scan in a few seconds while the vehicle is rolling at 5 mph, identifies problems, classifies them based on severity, and immediately sends the results to a computer. The technology aims to improve the safety of Amazon's delivery fleet and reduce the reliance on manual inspections.

The ai in transportation market covered in this report is segmented -

1) By Components: Hardware, Software
2) By Process: Signal Recognition, Object Recognition, Data Mining
3) By Technology Type: Natural Language Processing, Deep Learning, Computer Vision, Context-Awareness
4) By Application: Semi-Autonomous Truck, Truck Platooning, Predictive Maintenance, Precision And Mapping, Autonomous Truck, Machine Human Interface, Other Applications

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Major companies operating in the ai in transportation market report are Volvo AB, Mercedes-Benz Group AG, Alphabet Inc., Intel Corporation, NVIDIA Corporation, Valeo SA, ZF Friedrichshafen AG, Continental AG, Magna International Inc., Microsoft Corporation, PACCAR Inc., Robert Bosch GmbH, Scania Group, Xevo Inc., Zonar Systems Inc., Daimler AG, Waymo LLC, Tesla Inc., Uber Technologies Inc. , Mobileye Global Inc., Aptiv plc, TomTom N.V., HERE Technologies, Siemens AG, Cisco Systems Inc., IBM Corporation, Cognata Ltd., Argo AI, Aurora Innovation Inc., Zoox Inc., Embark Technology Inc., TuSimple Holdings Inc., PlusAI Inc.

Contents of the report:
1. Executive Summary
2. AI in Transportation Market Report Structure
3. AI in Transportation Market Trends And Strategies
4. AI in Transportation Market - Macro Economic Scenario
5. AI in Transportation Market Size And Growth
…..
27. AI in Transportation Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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