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Artificial Intelligence in Transportation Market May Set New Epic Growth | Microsoft, Alphabet, Intel

10-24-2023 01:23 PM CET | Logistics & Transport

Press release from: AMA Research & Media LLP

Artificial Intelligence in Transportation Market

Artificial Intelligence in Transportation Market

Advance Market Analytics published a new research publication on "Artificial Intelligence in Transportation Market Insights, to 2028" with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Artificial Intelligence in Transportation market was mainly driven by the increasing R&D spending across the world.

Some of the major key players profiled in the study are :
Microsoft Corporation (United States), IBM Corporation (United States), Continental (Germany), Alphabet Inc. (United States), Intel Corporation (United States), Magna (Canada), Robert Bosch GmbH (Germany), Nvidia Corporation (United States), Valeo SA (France), ZF Friedrichshafen AG (Germany).

Get Free Exclusive PDF Sample Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/9281-global-artificial-intelligence-in-transportation-market?utm_source=OpenPR&utm_medium=Shraddha

Scope of the Report of Artificial Intelligence in Transportation:
"Artificial Intelligence in transportation involves the integration of machine learning, computer vision, data analysis, and automation technologies to optimize and streamline various transportation processes, infrastructure management, and vehicle operations, with the aim of enhancing safety, sustainability, and the overall efficiency of the transportation system."

Market Trends:
Introduction to Advanced Driver Assistance Systems
Upsurging Strategic Alliances with other key players to Gain Competitive Edge

Opportunities:
Adoption of AI may Reduce Driver Fatigue and Avoid Potential Accidents
Increasing Adoption of Highly Automated Trucks

Challenges:
Skilled Workforce is required and Data Privacy and Cyber Security

Market Drivers:
Minimizes Operational Cost as well as Increases Efficiency of the Vehicles
Increasing Demand for Safe and On Time Movement of Goods and Cargo

Have Any Questions Regarding Global Artificial Intelligence in Transportation Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/9281-global-artificial-intelligence-in-transportation-market?utm_source=OpenPR&utm_medium=Shraddha

The titled segments and sub-section of the market are illuminated below:
by Application (Semi & Full-Autonomous, HMI, Platooning), Technology (Deep Learning, Computer Vision, Context Awareness, NLP), Process (Data Mining, Image Recognition, Signal Recognition), Offering (Hardware, Software)

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Strategic Points Covered in Table of Content of Global Artificial Intelligence in Transportation Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence in Transportation market
Chapter 2: Exclusive Summary - the basic information of the Artificial Intelligence in Transportation Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Artificial Intelligence in Transportation
Chapter 4: Presenting the Artificial Intelligence in Transportation Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020
Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence in Transportation market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2023-2028)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, Artificial Intelligence in Transportation Market is a valuable source of guidance for individuals and companies.

Read Detailed Index of full Research Study at @ https://www.advancemarketanalytics.com/reports/9281-global-artificial-intelligence-in-transportation-market?utm_source=OpenPR&utm_medium=Shraddha

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

Contact Us:
Craig Francis (PR & Marketing Manager)
AMA Research & Media LLP
Unit No. 429, Parsonage Road Edison, NJ
New Jersey USA - 08837
Phone: (+1 201 565 3262, +44 161 818 8166)
sales@advancemarketanalytics.com

About Author:
Advance Market Analytics is Global leaders of Market Research Industry provides the quantified B2B research to Fortune 500 companies on high growth emerging opportunities which will impact more than 80% of worldwide companies' revenues.
Our Analyst is tracking high growth study with detailed statistical and in-depth analysis of market trends & dynamics that provide a complete overview of the industry. We follow an extensive research methodology coupled with critical insights related industry factors and market forces to generate the best value for our clients. We Provides reliable primary and secondary data sources, our analysts and consultants derive informative and usable data suited for our clients business needs. The research study enable clients to meet varied market objectives a from global footprint expansion to supply chain optimization and from competitor profiling to M&As.

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