Artificial Intelligence in Transportation Market Rising Trends and New Technologies with Microsoft Corporation, IBM Corporation, Continental

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.

AMA Research published a new research publication on "Artificial Intelligence in Transportation Market Insights, to 2025" with 150+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, however latest COVID scenario and economic slowdown have changed complete market dynamics. 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) and ZF Friedrichshafen AG (Germany).

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Market Competition
This report covers the recent COVID-19 incidence and its impact on Artificial Intelligence in Transportation Market. The pandemic has widely affected the economic scenario. This study assesses the current landscape of the ever-evolving business sector and the present and future effects of COVID-19 on the market. Each company profiled in the research document is studied considering various factors such as product and its application portfolios, market share, growth potential, future plans, and development activity like merger & Acquisitions, JVs, Product launch etc. Readers will be able to gain complete understanding and knowledge of the competitive landscape. Most importantly, the report sheds light on important strategies that key and emerging players are taking to maintain their ranking in the Artificial Intelligence in Transportation Market. The study highlights how competition will change dynamics in the coming years and why players are preparing themselves to stay ahead of the curve.

According to the Regional Segmentation the Artificial Intelligence in Transportation Market provides the Information covers following regions:
*North America
*South America
*Asia & Pacific
*Europe
*MEA (Middle East and Africa)

The key countries in each region are taken into consideration as well, such as 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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Drivers that May Set Growth Pattern of Artificial Intelligence in Transportation Market
• Increasing Demand for Safe and On Time Movement of Goods and Cargo
• Minimizes Operational Cost as well as Increases Efficiency of the Vehicles

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

Restraints
• Expensive Artificially Intelligent Systems
• Growth of AI in Transportation in Concentrated to Giant Manufacturers Only

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

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

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

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Strategic Points Covered in Table of Content of 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: Displayingthe Market Dynamics- Drivers, Trends and Challenges&Opportunities of the Artificial Intelligence in Transportation
Chapter 4: Presenting the Artificial Intelligence in Transportation Market Factor Analysis, Post COVID Impact 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 2014-2019
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 (2020-2025)
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.

Research Methodology:
• The top-down and bottom-up approaches are used to estimate and validate the size of the global Artificial Intelligence in Transportation market.
• In order to reach an exhaustive list of functional and relevant players who offer Artificial Intelligence in Transportation various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies.
• Thereafter, a thorough validation test is conducted to reach most relevant players specifically having product line i.e. Artificial Intelligence in Transportation.
• In order to make priority list sorting is done based on revenue generation as per latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
• Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment. This helps us to gather the data for the players’ revenue, profit, products, growth etc.
• Almost 80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, Annual reports, press releases etc.

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Key questions answered
• Who are the Leading key players and what are their Key Business plans in the Artificial Intelligence in Transportation market?
• What are the key concerns of the five forces analysis of the Artificial Intelligence in Transportation market?
• What are different prospects and threats faced by the dealers in the Artificial Intelligence in Transportation market?
• What are the strengths and weaknesses of the key vendors?

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