Artificial Intelligence in Transportation Market Overview:
Maximize Market Research, a Artificial Intelligence in Transportation business research firm has published a report on the “Artificial Intelligence in Transportation Market”. Which provides Industry Analysis (Market Performance, Segments, Price Analysis, and Outlook).
Estimated Growth Rate for Artificial Intelligence in Transportation Market:
Transportation Using Artificial Intelligence Worldwide The artificial intelligence market in transportation was estimated to be worth USD 3.25 billion in 2023. From 2024 to 2030, it is projected to expand by 18.3%, or roughly USD 10.54 billion.
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Artificial Intelligence in Transportation Market Report Scope and Research Methodology:
The scope of the Artificial Intelligence in Transportation market analysis encompasses diverse factors, including geographical regions, industry segments, traveller types, and travel service offerings. Research methodologies integrate primary and secondary data collection, employing surveys, interviews, and analysis of industry reports and databases. Assessing the Artificial Intelligence in Transportation market scope involves examining the volume and value of business travel transactions, covering expenditures on transportation, accommodation, dining, and ancillary services. Methodologies aim to identify key trends, challenges, and opportunities influencing the market landscape. This comprehensive approach provides valuable insights for strategic decision-making, aiding businesses in navigating the complexities of the Artificial Intelligence in Transportation sector and capitalizing on growth prospects.
Artificial Intelligence in Transportation Market Regional Insights:
Improved dependability and increasing demand drive growth in the Artificial Intelligence in Transportation Market, particularly in North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa. Geographical observations help investors identify opportunities, with regional evaluations highlighting crucial strategies like mergers and acquisitions. Understanding regional dynamics enables stakeholders to tailor their approaches, leveraging growth prospects and addressing specific Artificial Intelligence in Transportation market needs. This insight is vital for informed decision-making and strategic planning across diverse geographic landscapes.
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Artificial Intelligence in Transportation Market Segmentation:
by IoT Communications
LTE
LPWAN
5G
by Offering
Hardware
Software
by Machine Learning Technology
Deep Learning
Computer Vision
Context Awareness
Natural Language Processing (NLP)
The market was led by the Deep Learning category in 2023, and this trend is anticipated to continue during the forecast period. Seep learning is being used in the transportation industry to generate a wide range of AI applications. The branch of machine learning known as "Deep Learning" makes use of convolutional and artificial neural networks. Deep learning algorithms are able to identify complex patterns in data that are too difficult for conventional machine learning algorithms to detect. In machine learning, computer vision (CV) is also seeing a sharp increase in demand. A kind of machine learning called CV enables computers to understand and interpret photos and videos. These algorithms can recognize objects, track movement, and calculate distances.
by Process
Signal Recognition
Object Recognition
Data Mining
by Application
Autonomous Trucks
HMI In Trucks
Semi-Autonomous Trucks
Truck Platooning
Precision Mapping
Predictive Maintenance
HMI in the Trucks
Others
With a 26% market share in 2023, precision mapping led the industry and is predicted to continue doing so throughout the forecast period. Artificial Intelligence plays a significant part in transportation. Precision lowers costs and boosts efficiency, which enhances the whole transit experience. High-precision maps of roads and highways—such as those used by autonomous vehicles for navigation—are produced by artificial intelligence. AI analyzes data, weather trends, and traffic patterns to produce more precise and correct traffic maps, which improves routing and traffic management. Trucks equipped with human-machine interfaces (HMIs) let drivers communicate with the vehicle's computerized systems.
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Table of Content: Artificial Intelligence in Transportation Market
Part 01: Executive Summary
Part 02: Scope of the Artificial Intelligence in Transportation Market Report
Part 03: Global Artificial Intelligence in Transportation Market Landscape
Part 04: Global Artificial Intelligence in Transportation Market Sizing
Part 05: Global Artificial Intelligence in Transportation Market Segmentation by Type
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
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Artificial Intelligence in Transportation Market Key Players:
1. Continental (Hanover, Germany)
2. Volvo
3. ZF
4. Zonar
5. Tier-I Suppliers
6. Daimler (Stuttgart, Germany)
7. Scania
8. Microsoft
9. Paccar
10. Man
11. Bosch
12. NVIDIA
13. Valeo
14. Peloton
15. Xevo
16. Software Suppliers
17. Start-Up’s Bosch
18. Intel
19. Alphabet
20. Magna
21. Nauto
22. IBM Corporation
Key questions answered in the Artificial Intelligence in Transportation Market are:
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