Londan, United kingdom -- (SBWIRE) -- 10/12/2022 -- Artificial Intelligence In Transportation Market 2022 : The rise of the artificial intelligence industry has led to a global technological revolution. Furthermore, a robust automation industry around the world has also required the presence of artificial intelligence. The transportation sector in particular has been the largest consumer of AI technologies. This factor must be evaluated with a level of scrutiny to understand the dynamics of global AI in the transportation market. The demand for AI for transportation has increased due to advances in automation technology.

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A complete breakdown of manufacturing capacity, expanding demand, sales, and projected future growth is included in the market study. A summary of the market competition as well as their profiles is included in the Artificial Intelligence In Transportation market report. To present a fuller picture of market potentials, detailed information on the market includes driving forces, development plans such as the manufacture of new goods and mergers and acquisitions, partnerships and cooperation, new trends, barriers, and opportunities.

To keep readers up to date on technologically evolving markets, the study uses cutting-edge methodologies to collect and analyze essential primary and secondary research data. The study provides the industry with a descriptive overview of elements that will likely effect future growth or lack thereof, as well as potential prospects and existing trends, by offering an assessment of the worldwide Artificial Intelligence In Transportation market as a whole. Demand estimates, market trends, market share, and micro and macro statistics are all covered in depth in this study.

The Major Key Company Profiles included in Artificial Intelligence In Transportation market study are:

-Continental AG
-Robert Bosch GmbH
-NVIDIA Corporation
-Microsoft Corporation
-Volvo Group
-Diamler AG
-Scania Groups
-MAN SEPACCAR Inc.
-ZF Friedrichshafen AG
-Valeo SA
-Intel Corporation
-Alphabet Inc.
-Other

Market Segmentation

To evaluate market dynamics at the micro and macro levels, the Artificial Intelligence In Transportation market is separated into various segments. The global market is segmented into product types, applications, end-uses, and geographies in this report. Each area and sub-segment is reviewed in detail, including growth rates, current trends, and future estimates.

The Artificial Intelligence In Transportation Market Segments and Sub-Segments are Listed Below:

By Machine Learning

-Deep Learning
-Computer Vision
-Context Awareness
-NLP

By Application

-Semi & Full-Autonomous
-HMI, Platooning

By Offering

-Hardware
-Software

By Process

-Signal Recognition
-Object Recognition
-Data Mining

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COVID-19 Impact Analysis

The COVID-19 impact analysis looks at the impact of the pandemic on the target market in terms of present conditions and projections for the future. The Artificial Intelligence In Transportation market research intends to give a more in-depth look at the current situation, the economic downturn, and COVID-19's impact on the industry as a whole. The study integrates market breakdown and data triangulation techniques to complete the full process of market research and analysis, offering comprehensive information for all segments, sub-segments, and market growth.

Regional Overview

Artificial Intelligence In Transportation market study covers all of the world's major regional markets in depth. It includes both qualitative and quantitative data about the market's drivers, restraints, and potential for future growth. The study delves into worldwide market segmentation, including revenue, market share, and potential expansion opportunities by region and country.

Competitive Scenario

To provide an in-depth analysis of the market, the study employs SWOT and Porter's five forces. By gathering data on important participants, secondary research was conducted to examine and predict market entities. This study examines and analyses global trends, as well as current events and opportunities in the region. The Artificial Intelligence In Transportation market research was prepared after an assessment of the market's top rivals.

Table of Contents – Major Key Points

1 Artificial Intelligence In Transportation Market Overview
2 Market Competition by Manufacturers
3 Production and Capacity by Region
4 Global Artificial Intelligence In Transportation Consumption by Region
5 Production, Revenue, Price Trend by Type
6 Consumption Analysis by Application
7 Key Companies Profiled
8 Artificial Intelligence In Transportation Manufacturing Cost Analysis
9 Marketing Channel, Distributors and Customers
10 Market Dynamics
11 Production and Supply Forecast
12 Consumption and Demand Forecast
13 Forecast by Type and by Application
14 Research Finding and Conclusion
15 Methodology and Data Source

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