Artificial Intelligence in Transportation Market Giants Set to Skyrocket Spending, Experts Warn

Author : Rahul Kadam | Published On : 01 Dec 2023

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.

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The Artificial Intelligence in Transportation Market report covers extensive analysis of the key market players, along with their business overview, expansion plans, and strategies. The key players studied in the report include: 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),

Definition:
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.

The following fragment talks about the Artificial Intelligence in Transportation market types, applications, End-Users, Deployment model etc. A thorough analysis of Artificial Intelligence in Transportation Market Segmentation: 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)

Artificial Intelligence in Transportation 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


Artificial Intelligence in Transportation Market Trends:

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


Artificial Intelligence in Transportation Market Growth Opportunities:

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


As the Artificial Intelligence in Transportation market is becoming increasingly competitive, it has become imperative for businesses to keep a constant watch on their competitor strategies and other changing trends in the Artificial Intelligence in Transportation market. Scope of Artificial Intelligence in Transportation market intelligence has proliferated to include comprehensive analysis and analytics that can help revamp business models and projections to suit current business requirements.

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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 and 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 2017-2022

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.

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What benefits does AMA research study is going to provide?

  • Latest industry influencing trends and development scenario
  • Open up New Markets
  • To Seize powerful market opportunities
  • Key decision in planning and to further expand market share
  • Identify Key Business Segments, Market proposition & Gap Analysis
  • Assisting in allocating marketing investments


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