Press release
in-Depth Analysis: Global Artificial Intelligence in Transportation Market Forecast to 2025 - Magna, Bosch, Valeo, ZF, Scania, Volvo
Global Artificial Intelligence in Transportation market size will reach million US$ by 2025, from million US$ in 2017, at a CAGR of during the forecast period. In this study, 2017 has been considered as the base year and 2018-2025 as the forecast period to estimate the market size for Artificial Intelligence in Transportation.
This industry study presents the global Artificial Intelligence in Transportation market size, historical breakdown data (2013-2018) and forecast (2018-2025). The Artificial Intelligence in Transportation production, revenue and market share by manufacturers, key regions and type.
You can get free access to samples from the report here: https://www.qyresearchreports.com/sample/sample.php?rep_id=1914072&type=S
The consumption of Artificial Intelligence in Transportation in volume terms are also provided for major countries (or regions), and for each application and product at the global level. Market share, growth rate, and competitive factors are also evaluated for market leaders Continental, Magna, etc.
The following manufacturers are covered in this report:
Continental
Magna
Bosch
Valeo
ZF
Scania
Paccar
Volvo
Daimler
Nvidia
Alphabet
Intel
Microsoft
Artificial Intelligence in Transportation Breakdown Data by Type
by Offering
Hardware
Software
by Process
Data Mining
Image Recognition
Signal Recognition
Artificial Intelligence in Transportation Breakdown Data by Application
Semi & Full-Autonomous
HMI
Platooning
Read Complete Table of Content @ https://www.qyresearchreports.com/report/global-artificial-intelligence-in-transportation-market-insights-forecast-to-2025.htm/toc
Artificial Intelligence in Transportation Production by Region
United States
Europe
China
Japan
South Korea
India
Other Regions
Artificial Intelligence in Transportation Consumption by Region
North America
United States
Canada
Mexico
Asia-Pacific
China
India
Japan
South Korea
Australia
Indonesia
Malaysia
Philippines
Thailand
Vietnam
Europe
Germany
France
UK
Italy
Russia
Rest of Europe
Central & South America
Brazil
Rest of South America
Middle East & Africa
GCC Countries
Turkey
Egypt
South Africa
Rest of Middle East & Africa
Read Detailed Research Study at: https://www.qyresearchreports.com/report/global-artificial-intelligence-in-transportation-market-insights-forecast-to-2025.htm
The study objectives are:
To analyze and research the global Artificial Intelligence in Transportation status and future forecast,involving, production, revenue, consumption, historical and forecast.
To present the key Artificial Intelligence in Transportation manufacturers, production, revenue, market share, SWOT analysis and development plans in next few years.
To segment the breakdown data by regions, type, manufacturers and applications.
To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends, drivers, influence factors in global and regions.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market.
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
In this study, the years considered to estimate the market size of Artificial Intelligence in Transportation :
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year: 2018-2025
This report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Artificial Intelligence in Transportation market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.
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