Artificial Intelligence In Transportation Market Future Projections: Industry Outlook, Size, And Growth Forecast 2030

Published: 2024-08-26
Views: 138
Author: nandini123
Published in: Business

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:

• Who are the leading companies and what are their portfolios in Artificial Intelligence in Transportation Market? 
• What segments are covered in the Artificial Intelligence in Transportation Market?
• Who are the key players in the Artificial Intelligence in Transportation market?
• What is Artificial Intelligence in Transportation?
• What was the Artificial Intelligence in Transportation market size in 2023?
• What is the growth rate of the Artificial Intelligence in Transportation Market?
• Which are the factors expected to drive the Artificial Intelligence in Transportation market growth?
• What are the different segments of the Artificial Intelligence in Transportation Market?
• What growth strategies are the players considering to increase their presence in Artificial Intelligence in Transportation?
• What are the upcoming industry applications and trends for the Artificial Intelligence in Transportation Market?
• What are the recent industry trends that can be implemented to generate additional revenue streams for the Artificial Intelligence in Transportation Market?
• What segments are covered in the Artificial Intelligence in Transportation Market?

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Key Offerings:

• Past Market Size and Competitive Landscape (2018 to 2023)
• Past Pricing and price curve by region (2018 to 2023)
• Market Size, Share, Size & Forecast by different segment | 2024−2030
• Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
• Market Segmentation – A detailed analysis by segment with their sub-segments and Region 
• Competitive Landscape – Profiles of selected key players by region from a strategic perspective 
  • Competitive landscape – Market Leaders, Market Followers, Regional player
  • Competitive benchmarking of key players by region
• PESTLE Analysis 
• PORTER’s analysis 
• Value chain and supply chain analysis 
• Legal Aspects of Business by Region
• Lucrative business opportunities with SWOT analysis 
• Recommendations 

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