Global Artificial Intelligence in Transportation
Market Report
2024
Artificial Intelligence in Transportation Market size will be USD 3.0 billion in 2024. It will expand at a compound annual growth rate (CAGR) of 20.2% from 2024 to 2031.
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, the global Artificial Intelligence in Transportation Market size will be USD 3.0 billion in 2024. It will expand at a compound annual growth rate (CAGR) of 20.2% from 2024 to 2031.
Base Year | 2023 |
Historical Data Time Period | 2019-2023 |
Forecast Period | 2024-2031 |
Global Artificial Intelligence in Transportation Market Sales Revenue 2024 | $ 3 Billion |
Global Artificial Intelligence in Transportation Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 20.2% |
Market Split by Offering |
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Market Split by Machine Learning Technology |
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Market Split by Process |
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Market Split by Application |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Key Qualitative Information Covered |
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Artificial Intelligence in Transportation Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
Artificial intelligence is a computer-controlled task that requires human intelligence, such as decision-making. The market is expanding rapidly due to increased government regulation of vehicle safety and security. The market for data mining has grown rapidly in recent years as the transportation industry's demand for predictive maintenance has increased. Furthermore, artificial intelligence in the transportation industry is predicted to increase significantly throughout the forecast period. However, the transportation sector deployed upgraded systems to give real-time data as well as greater help to avert unwanted incidents, hence increasing the total demand for artificial intelligence in the transportation industry. The growing demand for safety and security, as well as an increased focus on lowering transportation operating costs, are the primary reasons driving the continuing expansion of the artificial intelligence market for transportation.
Autonomous vehicles drive market growth - One of the driving causes behind this astonishing increase is the growing demand for self-driving automobiles. Autonomous vehicles, outfitted with cutting-edge in-vehicle technologies and sensors, use artificial intelligence to move automatically and react to potential problems. A recent AlixPartners survey found that more than 60% of consumers in China, France, Italy, and Germany are already aware of level 2 autonomy. In this stage, cars take on some driving tasks, with the expectation that drivers will respond to interactions as needed. This rising demand for autonomous vehicles is likely to drive the expansion of artificial intelligence in the transportation market.
The increased rate of road accidents drives the Artificial Intelligence in Transportation Market.
High implementation costs
A lack of favorable infrastructure can hinder industry expansion.
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In October 2023, NVIDIA Corporation and Oracle sign a partnership agreement to help customers overcome business challenges through accelerated computing and artificial intelligence. The alliance aims to help accelerate client adoption of artificial intelligence services.
(Source: https://nvidianews.nvidia.com/news/oracle-nvidia-speed-ai-adoption)
Top Companies Market Share in Artificial Intelligence in Transportation Industry: (In no particular order of Rank)
If any Company(ies) of your interest has/have not been disclosed in the above list then please let us know the same so that we will check the data availability in our database and provide you the confirmation or include it in the final deliverables.
According to Cognitive Market Research, North America is likely to have a leading marketplace in the next years. This region is predicted to increase significantly due to the creation of different policies that ensure safety, compliance, and responsibility. The introduction of such laws that are unfavorable to market expansion will result in increased demand in the upcoming year. The HOS Revisions will also contribute to the expansion of artificial intelligence technologies in the transportation sector. The robust economic conditions in North America, as well as the increased amount of disposable income, will be the driving forces behind the rise of this industry. To assure passenger safety, a few things are required in car manufacture. Manufacturers are equipping vehicles with these features. Therefore, the market for artificial intelligence is projected to expand significantly in the coming years.
The Asia-Pacific region has had the quickest revenue growth, and it is likely to dominate the market throughout the forecast, after North America. The escalating number of casualties has prompted the government to impose stricter measures. Economic growth and the transition from the unorganized third-party logistics sector to the organized sector are also fueling the expansion of Asia-Pacific artificial intelligence in the transportation market. There are a few significant elements contributing to the overall rise of artificial intelligence in the transportation business.
The current report Scope analyzes Artificial Intelligence in Transportation Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
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Global Artificial Intelligence in Transportation Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Artificial Intelligence in Transportation Industry growth. Artificial Intelligence in Transportation market has been segmented with the help of its Offering , Machine Learning Technology Process , and others. Artificial Intelligence in Transportation market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
Based on present and future trends, the market size is estimated from 2019 to 2031. Moreover, study also provides quantitative and qualitative analysis of each type to understand the driving factors for the fastest growing type segment for Artificial Intelligence in Transportation market.
Offering of Artificial Intelligence in Transportation analyzed in this report are as follows:
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This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends and opportunities for each application of Artificial Intelligence in Transportation from 2019 to 2031. This will also help to analyze the demand for Artificial Intelligence in Transportation across different end-use industries. Our research team will also help acquire additional data such as Value Chain, Patent analysis, Company Evaluation Quadrant (Matrix), and much more confidential analysis and data insights.
Some of the key Machine Learning Technology of Artificial Intelligence in Transportation are:
The above Graph is for representation purposes only. This chart does not depict actual Market share.
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According to Cognitive Market Research, autonomous trucks are projected to dominate the market in the next years. The sector had the biggest market share in the past and is predicted to increase significantly in the coming years. The demand for these autonomous trucks is projected to increase in the future years as the truck industry develops. There is an increasing need for these medications for logistical objectives in many countries throughout the world. Trucks play a vital part in the transportation of numerous goods, and their demand is likely to increase in the coming years.
Research Analyst at Cognitive Market Research
I am a research analyst working in the Transport & Logistics domain, and my primary responsibility is to conduct thorough research on various subjects and provide valuable insights to support client requirements. I have knowledge of research methodologies, and data mining which enables me to analyze large data sets, draw meaningful conclusions, and communicate them effectively. I stay up-to-date with the latest research trends, methodologies, and technologies to ensure that my research is accurate, relevant, and impactful.
Sneha Mali is a research analyst working in various domains including the Consumer Goods, market research and transport & logistics and her primary responsibility is to conduct thorough research on various subjects and provide valuable insights to support client requirements. Her knowledge of research methodologies, and data mining which enables me to analyze large data sets, draw meaningful conclusions, and communicate them effectively.Sneha stay up-to-date with the latest research trends, methodologies, and technologies to ensure that her research is accurate, relevant, and impactful.
In her current role, Sneha is committed to continuous learning and staying abreast of emerging trends in research methodologies. Regular participation in workshops, webinars, and industry conferences ensures that her skills remain sharp and relevant. She have demonstrated ability to transform complex data sets into clear and concise narratives that inform key business strategies. Collaborating with cross-functional teams.Sneha remains an invaluable asset in the dynamic landscape of market research.
Our study will explain complete manufacturing process along with major raw materials required to manufacture end-product. This report helps to make effective decisions determining product position and will assist you to understand opportunities and threats around the globe.
The Global Artificial Intelligence in Transportation Market is witnessing significant growth in the near future.
In 2023, the Hardware segment accounted for noticeable share of global Artificial Intelligence in Transportation Market and is projected to experience significant growth in the near future.
The Deep Learning segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies Volvo , Scania and others are focusing on its strategy building model to strengthen its product portfolio and expand its business in the global market.
Please note, we have not disclose, all the sources consulted/referred during a market study due to confidentiality and paid service concern. However, rest assured that upon purchasing the service or paid report version, we will release the comprehensive list of sources along with the complete report and we also provide the data support where you can intract with the team of analysts who worked on the report.
Disclaimer:
Offering | Hardware, Software |
Machine Learning Technology | Deep Learning, Computer Vision, Context Awareness, Natural Language Processing |
Process | Signal Recognition, Object Recognition, Data Mining |
Application | Semi-Autonomous Truck, Truck platooning, Predictive maintenance, Precision and mapping, Autonomous truck, Machine human interface, Others |
List of Competitors | Volvo, Daimler, Scania, Paccar, Peloton, Valeo, Xevo, ZF, Zonar, Tier-I Suppliers, Software Suppliers, Start-Up’s Bosch, Intel, NVIDIA, Alphabet, Continental, Magna, Man, Microsoft, Nauto, IBM Corporation |
This chapter will help you gain GLOBAL Market Analysis of Artificial Intelligence in Transportation. Further deep in this chapter, you will be able to review Global Artificial Intelligence in Transportation Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
Chapter 2 North America Market Analysis
Chapter 3 Europe Market Analysis
Chapter 4 Asia Pacific Market Analysis
Chapter 5 South America Market Analysis
Chapter 6 Middle East and Africa Market Analysis
Only Available with Corporate User License
Chapter 7 Top 10 Countries Analysis (Only Available with Corporate User License)
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Offering Analysis 2019 -2031, will provide market size split by Offering . This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Offering Analysis 2019 -2031
The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 11 Market Split by Machine Learning Technology Analysis 2019 -2031
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Chapter 12 Market Split by Process Analysis 2019 -2031
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Chapter 13 Market Split by Application Analysis 2019 -2031
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Artificial Intelligence in Transportation market
Chapter 14 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Why Hardware have a significant impact on Artificial Intelligence in Transportation market? |
What are the key factors affecting the Hardware and Software of Artificial Intelligence in Transportation Market? |
What is the CAGR/Growth Rate of Deep Learning during the forecast period? |
By type, which segment accounted for largest share of the global Artificial Intelligence in Transportation Market? |
Which region is expected to dominate the global Artificial Intelligence in Transportation Market within the forecast period? |
Segmentation Level Customization |
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Region level Data Customization |
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Country level Data Customization |
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Company Level |
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Additional Data Analysis |
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Additional Qualitative Data |
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Additional Quantitative Data |
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Service Level Customization |
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