Artificial Intelligence in Transportation Market by Leading Players AB Volvo, Daimler AG., Robert Bosch , NVIDIA Corporation, Intel Corporation, Microsoft, Aimotive, Third Space Auto , MOMENTA, and Xevo

The "Global Artificial intelligence in Transportation Market Analysis to 2027" is a specialized and in-depth study of the artificial intelligence in transportation industry with a focus on the global market trend. The report aims to provide an overview of the global artificial intelligence in transportation market with detailed market segmentation by offering, technology, application, process, and geography. The global artificial intelligence in transportation market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the artificial intelligence in transportation market.

Artificial intelligence in transportation helps the transportation companies to ensure public safety for their service. Artificial Intelligence in transportation makes use of various concepts like deep learning, computer vision, and context awareness to know the way the drivers handle their resources. The global artificial intelligence in the transportation market is experiencing high demand due to the increasing popularity of the autonomous vehicle. Various organizations are using AI in transportation solutions for data collection and decision making. The growing use of autonomous vehicles, and need to control the operational costs are the major factors that are expected to support the growth of artificial intelligence in transportation market whereas failure in performance is the major factor that is expected to slow down the growth of this market.

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The key players influencing the market are:

1. AB Volvo
2. Daimler AG.
3. Robert Bosch GmbH
4. NVIDIA Corporation
5. Intel Corporation
6. Microsoft
7. Aimotive
8. Third Space Auto Ltd.
9. MOMENTA
10. Xevo

The report provides a detailed overview of the artificial intelligence in transportation industry including both qualitative and quantitative information. It provides an overview and forecast of the global artificial intelligence in transportation market based on by offering, technology, application, and process. It also provides market size and forecast till 2027 for overall artificial intelligence in transportation market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

Besides this, the report analyzes factors affecting artificial intelligence in transportation market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis. Further, the report also includes ecosystem analysis for the artificial intelligence in transportation market.

Key market players influencing the artificial intelligence in transportation market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products, and services offered, financial information for the last 3 years, a key development in the past five years.

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Reason To Buy

Highlights key business priorities in order to assist companies to realign their business strategies

- Highlights Artificial Intelligence in Transportation Market hereby allowing organizations to gain revenues by focusing majorly on select products
- The key findings and recommendations highlight crucial progressive industry trends in the Artificial Intelligence in Transportation Market , thereby allowing players across the value chain to develop effective long term strategies
- Develop/modify business expansion plans by using substantial growth offering developed and emerging markets
- Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it
- Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing and distribution
- Examine the current and future impact of the market and PEST analysis for regions such as North America, Europe, APAC, Middle-East & Africa and South America

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