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The S-AIS is a very high-frequency automatic vessel tracking system that provides location information to ships and shore stations through electronic exchange of data regarding position, identification, course, and speed. AIS enables two-way communication between coastal authorities and several vessels using satellite communication technology.
Scope of the Report:
This report focuses on the Satellite-based Automatic Identification Systems in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.
The Class A transponder segment will dominate the market during the forecast period. Much of this segment's growth is primarily due to the ability of these transponders to transmit information more frequently and detect vessels even in dense areas. Several commercial vessels carrying expensive commodities are installing Class A transponders to achieve high traceability and better monitoring and controlling features. The increase in the number of larger vessels in maritime traffic and decrease in the price of transponders will augment the growth of this segment during the forecast period.
During 2017, the Americas dominated the market, where North America accounted for almost 37% of the overall regional revenue. The primary reason for this region's growth is due to the increasing development of AIS solutions for the US national defense. The AIS applications help in storm and hurricane disaster management and in volcano monitoring, which is highly critical in this region. The implementation of big data analytics services will boost the market for AIS in the region over the next four years.
The worldwide market for Satellite-based Automatic Identification Systems is expected to grow at a CAGR of roughly xx% over the next five years, will reach xx million US$ in 2023, from xx million US$ in 2017, according to a new GIR (Global Info Research) study.
Market Segment by Manufacturers, this report covers
- Iridium Communications
- Saab AB
- New JRC
- Furuno Electric
- Garmin International
- L-3 Communications
Market Segment by Regions, regional analysis covers
- North America (United States, Canada and Mexico)
- Europe (Germany, France, UK, Russia and Italy)
- Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
- South America (Brazil, Argentina, Colombia etc.)
- Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
- Class A Transponder
- Class B Transponder
Market Segment by Applications, can be divided into
- Intelligence and Security
- Search and Rescue
There are 15 Chapters to deeply display the global Satellite-based Automatic Identification Systems market.
Chapter 1, to describe Satellite-based Automatic Identification Systems Introduction, product scope, market overview, market opportunities, market risk, market driving force;
Chapter 2, to analyze the top manufacturers of Satellite-based Automatic Identification Systems, with sales, revenue, and price of Satellite-based Automatic Identification Systems, in 2016 and 2017;
Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;
Chapter 4, to show the global market by regions, with sales, revenue and market share of Satellite-based Automatic Identification Systems, for each region, from 2013 to 2018;
Chapter 5, 6, 7, 8 and 9, to analyze the market by countries, by type, by application and by manufacturers, with sales, revenue and market share by key countries in these regions;
Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2013 to 2018;
Chapter 12, Satellite-based Automatic Identification Systems market forecast, by regions, type and application, with sales and revenue, from 2018 to 2023;
Chapter 13, 14 and 15, to describe Satellite-based Automatic Identification Systems sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source