Geospatial analytics use this data and interpret used to build maps, graphs, and statistics which are further used by organization to understand the pattern of activities. Technologies such as mobile devices, location sensors, social media, and other platforms allow organization to collect the information or data. Geospatial analytics offer solutions to organizations which help in anticipating and to formulate strategies for predicted changes in reference to dynamic spatial conditions or location based events.
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According to CISCO`s report, in 2008 the number of connected devices crossed number people on the earth and it is also estimated by 2020 the number of connected devices will reach 50 billion. Fast growing trends in mobile devices and internet of everything will drive the geospatial analytics market positively in near future. Some of the key concerns of developing economies would include poor connectivity and as the data is collected in real-time congestion of connected devices in low bandwidth internet which may lead to false location results and analysis may fail to produce desired results.
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The global geospatial analytics market is broadly classified into segments such as type, technology, application, end-users and geography. Key types of geospatial analytics include surface analytics, network analytics, geo-visualization and others. Technologies used in this market are further segmented as Remote Sensing, Global Positioning System (GPS), Geographical Information System (GIS), and Others. The application segment is further sub-segmented into Surveying,, Disaster Risk Reduction Management, Climate Change Adaptation, , Medicine and Public Safety and Others. The global geospatial analytics market is also divided by geography and include...