Artificial Intelligence in Transportation Market Overview:
Maximize Market Research is a Business Consultancy Firm that has published a detailed analysis of the “Artificial Intelligence in Transportation Market”. The report includes key business insights, demand analysis, pricing analysis, and competitive landscape. The analysis in the report provides an in-depth aspect at the current status of the Artificial Intelligence in Transportation market, with forecasts outspreading to the year 2030.
Expected Expansion of 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 Scope and Methodology:
Maximize market research covers competitive landscape, key competitors and their market shares for better understanding of the industry. The report also discusses new product developments and technology trends. The report provides a detailed overview of the Artificial Intelligence in Transportation market through both quantitative and qualitative analysis. The report aims to help readers develop business strategies and assess their position in the market by providing a comprehensive analysis of the competitive landscape. The purpose of the report is to provide the necessary information to make an informed decision regarding the Artificial Intelligence in Transportation market. In addition, the report delivers information on revenue, sales volume, and average price of the entire market and sub-segments in various segments and regions to assist portable notebook manufacturers, new entrants, and companies involved in the industry chain market.
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Artificial Intelligence in Transportation Market Regional Insights:
In a regional analysis, the Artificial Intelligence in Transportation market is segmented into North America, South America, Europe, the Middle East and Africa, and Asia Pacific. These regions are classified as corresponding countries such as the United States, Canada, Mexico, United Kingdom, Germany, France, Spain, Italy, Rest of Europe, China, India, Japan, Australia, and South Korea.
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 projection 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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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
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Key questions answered in the Artificial Intelligence in Transportation Market are:
- 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?
- What is the CAGR at which the Artificial Intelligence in Transportation market will grow during the forecast period?
- What are the different segments of the Artificial Intelligence in Transportation Market?
- Which is the fastest-growing region in the Artificial Intelligence in Transportation market?
- Which are the factors expected to drive the Artificial Intelligence in Transportation market growth?
- What growth strategies are the players considering to increase their presence in Artificial Intelligence in Transportation?
- What are the upcoming opportunities 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?
- Who are the key players in the Artificial Intelligence in Transportation market?
- Who are the leading companies and what are their portfolios in 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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