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(IT-NEWSWIRE.COM, December 14, 2017 ) Satellite-based Automatic Identification Systems is a very high frequency automatic tracking system that provides location information to ships and shore stations through electronic exchange of data regarding positions, identification, course and speed. It allows two-way communication through satellite communication technology. This identification system is generally by maritime to avoid collision, for search and rescue operations, environmental monitoring and maritime intelligence applications.
Surging demand for better identification system in maritime due to increasing maritime traffic is fueling the growth in the satellite-based automatic identification systems market, whereas high cost associated with the replacing of satellites at the end of its service life can be a restraining factor in the market. Major trend which is boosting the market of satellite-based automatic identification systems is the use of AIS tools for new marine transportation applications, which will bring new opportunities in the market in the coming years.
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The “Global Satellite-based Automatic Identification Systems Market Analysis to 2025” is a specialized and in-depth study of the satellite-based automatic identification systems industry with a focus on the global market trend. The report aims to provide an overview of global satellite-based automatic identification systems market with detailed market segmentation by type, applications and geography. The global satellite-based automatic identification systems 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 market.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global satellite-based automatic identification systems market based on type and applications. It also provides market size and forecast till 2025 for overall satellite-based automatic identification systems 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 analysis and forecast of 15 counties globally along with current trend and opportunities prevailing in the region.
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Besides this, the report analyzes factors affecting market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the market in these regions.
Also, key satellite satellite-based automatic identification systems market players influencing the 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 of last 3 years, key development in past five years. Some of the key players influencing the market are StormGeo, ExactEarth, Iridium Communications, ORBCOMM, Saab, Thales, New JRC, Furuno Electric, Garmin International and Raytheon.
Complete Report is Available at http://www.theinsightpartners.com/reports/satellite-based-automatic-identification-systems-market
About Us:
TheInsightPartners.com is a one stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. We are a specialist in Technology, Media, and Telecommunication industries.
The Insight Partners
Sameer Joshi
+91 9666111581
sam@theinsightpartners.com
Source: EmailWire.Com 
Source: EmailWire.com
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