Press release
Artificial Intelligence in Transportation Global Market Future Scope, Opportunities with Strategic Growth and Top Players are | Volvo, Toyota, Allison Transmission, Daimler, Ford, Cummins, Scania and Others
Global Artificial Intelligence in Transportation Market 2019-2025
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Increasing demand for Self-Driving vehicle could lead to a growth of market in the forecast period. The market growth is favored by growing focus towards reducing the transportation costs. Increasing focus towards reducing the operating cost of transportation is expected to drive the market.
Rising concern over data privacy as well as high cost of AI system may hinder the adoption of market. Whereas alternative fuel artificial intelligence in transportation is growing the opportunity in the market.
The Data mining segment will drive the Artificial intelligence in transportation market in 2017 and significant growth in the projected year. A huge amount of data, collected from different sensors used in semi-autonomous or autonomous trucks, can be used to train the trucks to detect or recognize images, obstacles, and various scenarios one might encounter behind the wheel which help in the drive the market in forecasted period.
Some of the key players operating in this market include Volvo, Toyota, Allison Transmission, Daimler, Ford, Cummins, Scania and Others.
Global Artificial Intelligence in Transportation Industry is spread across 121 pages, profiling 07 companies and supported with tables and figures.
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Key Benefits of the Report:
* Global, Regional, Country, Insight Type, and Application Market Size and Forecast from 2014-2025
* Detailed market dynamics, industry outlook with market specific PESTEL, Value Chain, Supply Chain, and SWOT Analysis to better understand the market and build strategies
* Identification of key companies that can influence this market on a global and regional scale
* Expert interviews and their insights on market shift, current and future outlook and factors impacting vendors short term and long term strategies
* Detailed insights on emerging regions, Insight Type & Application, and competitive landscape with qualitative and quantitative information and facts
Target Audience:
* Artificial Intelligence in Transportation providers
* Traders, Importer and Exporter
* Raw material suppliers and distributors
* Research and consulting firms
* Government and research organizations
* Associations and industry bodies
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Research Methodology
The market is derived through extensive use of secondary, primary, in-house research followed by expert validation and third party perspective like analyst report of investment banks. The secondary research forms the base of our study where we conducted extensive data mining, referring to verified data sources such as white papers government and regulatory published materials, technical journals, trade magazines, and paid data sources.
For forecasting, regional demand & supply factor, investment, market dynamics including technical scenario, consumer behavior, and end use industry trends and dynamics , capacity production, spending were taken into consideration.
We have assigned weights to these parameters and quantified their market impacts using the weighted average analysis to derive the expected market growth rate.
The market estimates and forecasts have been verified through exhaustive primary research with the Key Industry Participants (KIPs) which typically include:
* Original Equipment Manufacturer,
* Application Supplier,
* Distributors,
* Government Body & Associations, and
* Research Institute
TABLE OF CONTENT
1 Executive Summary
2 Methodology And Market Scope
3 Artificial Intelligence in Transportation Market — Industry Outlook
4 Artificial Intelligence In Transportation Market Offering Outlook
5 Artificial Intelligence In Transportation Market Process Outlook
6 Artificial Intelligence In Transportation Market Regional Outlook
7 Competitive Landscape
End of the report
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