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Global Intelligent Transport Systems (ITS) Market 2018 In-depth, Detailed Survey and Outlook Report 2018-2023

 



(USGovernment-News.Com, September 04, 2018 ) An intelligent transportation system (ITS) is an advanced application which, without embodying intelligence as such, aims to provide innovative services relating to different modes of transport and traffic management and enable users to be better informed and make safer, more coordinated, and 'smarter' use of transport networks.



Scope of the Report:

This report studies the Intelligent Transport Systems (ITS) market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Intelligent Transport Systems (ITS) market by product type and applications/end industries.



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Intelligent transport systems vary in technologies applied, from basic management systems such as car navigation; traffic signal control systems; container management systems; variable message signs; automatic number plate recognition or speed cameras to monitor applications, such as security CCTV systems; and to more advanced applications that integrate live data and feedback from a number of other sources, such as parking guidance and information systems; weather information; bridge de-icing (US deicing) systems; and the like.



Additionally, predictive techniques are being developed to allow advanced modelling and comparison with historical baseline data.



The global Intelligent Transport Systems (ITS) market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.



The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Intelligent Transport Systems (ITS).



Market Segment by Companies, this report covers – Thales, Siemens, Garmin, Kapsch Trafficcom, Tomtom, Cubic, Q-Free, Efkon, Flir Systems, Denso, Geotoll, Electricfeel, Doublemap, Bestmile, Nutonomy



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Intelligent Transport Systems (ITS) Market stands to gain remarkable proceeds over 2018-2023, as per a recently compiled report Market Segment by Regions, regional analysis covers:

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)



Market Segment by Type, covers

Hardware

Software

Services



Market Segment by Applications, can be divided into

Fleet Management and Asset Monitoring

Intelligent Traffic Control

Collision Avoidance

Parking Management

Passenger Information Management

Ticketing Management

Emergency Vehicle Notification

Automotive Telematics



For More about of this report@ https://www.researchbeam.com/global-intelligent-transport-systems-its-2018-by-manufacturers-countries-type-and-application-forecast-to-2023-market



Table of Contents (TOC):

1 Intelligent Transport Systems (ITS) Market Overview

2 Manufacturers Profiles

3 Global Intelligent Transport Systems (ITS) Market Competition, by Players

4 Global Intelligent Transport Systems (ITS) Market Size by Regions

5 North America Intelligent Transport Systems (ITS) Revenue by Countries

6 Europe Intelligent Transport Systems (ITS) Revenue by Countries

7 Asia-Pacific Intelligent Transport Systems (ITS) Revenue by Countries

8 South America Intelligent Transport Systems (ITS) Revenue by Countries

9 Middle East and Africa Revenue Intelligent Transport Systems (ITS) by Countries

10 Global Intelligent Transport Systems (ITS) Market Segment by Type

11 Global Intelligent Transport Systems (ITS) Market Segment by Application

12 Global Intelligent Transport Systems (ITS) Market Size Forecast (2018-2023)

13 Research Findings and Conclusion

14 Appendix



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