Artificial Intelligence in Transportation Market Next Big Thing | Major Giants IBM, Nvidia, Continental, Valeo

Advance Market Analytics published a new research publication on “Artificial Intelligence in Transportation Market Insights, to 2027” 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.

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Some of the 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),.

Scope of the Report of Artificial Intelligence in Transportation: Transportation industry is evolving significantly in terms of automations. The automated vehicles requires machine intelligence that is artificial intelligence which refers to computer operated tasks which otherwise have required human intelligence such as decision making and visual perception. Transportation is a vital application area for artificial intelligence, involving the use computer vision, decision making and natural language processing (NLP) technologies. Fully Automated vehicles use AI based systems with the set of hardware such as Lidar, RADAR sensors, Video Cameras and many others. Thus, such a wide scope applications will lead to increase the demand for AI in transportation in forecasting years.

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

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

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

Recent developments: The key players in Mexico are investing more than 20.00 billion USD in the automotive sector. This massive investment will lead to more AL enabled transports in this region.

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.

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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 2016-2021

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 (2022-2027)

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.

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