In 2020, the overall market size of geospatial analytics was estimated at USD 52.6 billion, and expected to reach USD 113.78 billion at a CAGR of 11.7 per cent from 2020 to 2027.The position analytics industry is powered by the growing use of spatial data and analytical instruments. Nevertheless, the growing need for business predictive analytics and the growing use of location-based software further add to the development of the demand for location analytics.
Epidemiologists and their organisations use decision-making techniques focused on the GIS to analyse conditions of past epidemics, such as Ebola and Polio. The GIS comparative work helps in understanding and analysing the sources and sequence of COVID-19. GIS can also be used to monitor and plan programs for the resources available. To assess the cause of the infection, confirmed and active infections can be labelled with COVID-19. Population data analysis helps with monitoring groups at risk and vulnerable areas. Geospatial modelling predicts and analyses areas of market risk, and measures operational capability to ensure business continuity.
Geographic Information System (GIS) is a mapping application that can evaluate geospatial data, and is geo-referenced using any location-including information that can be expressed by latitude and longitude, address, or zip code. GIS sector development can be attributed to the need to assist environmental protection through natural disasters, catastrophes, and climate change. These may also be used for identifying and visualizing spatial trends in the data on the map to assess potential threats and contingency planning.
The market was categorized, depending on type constraint, into network & position analytics, visualization, surface & field analytics, and others. The Surface & Field Analytics segment led the industry in 2018 due to its wide-ranging acceptance by government and private companies for infrastructure construction programs, water flow assessment, and drainage systems design and build. This form of geospatial analytics tool is often used for study of topsoil degradation in the agriculture sector. Whereas, due to its improved usage to automate marketing campaigns, the Network & Location Analytics segment is projected to emerge as the fastest growing segment over the forecast timeframe.
Epidemiologists and their organisations use decision-making techniques focused on the GIS to analyse conditions of past epidemics, such as Ebola and Polio. The GIS comparative work helps in understanding and analysing the sources and sequence of COVID-19. GIS can also be used to monitor and plan programs for the resources available. To assess the cause of the infection, confirmed and active infections can be labelled with COVID-19. Population data analysis helps with monitoring groups at risk and vulnerable areas. Geospatial modelling predicts and analyses areas of market risk, and measures operational capability to ensure business continuity.
Geographic Information System (GIS) is a mapping application that can evaluate geospatial data, and is geo-referenced using any location-including information that can be expressed by latitude and longitude, address, or zip code. GIS sector development can be attributed to the need to assist environmental protection through natural disasters, catastrophes, and climate change. These may also be used for identifying and visualizing spatial trends in the data on the map to assess potential threats and contingency planning.
The market was categorized, depending on type constraint, into network & position analytics, visualization, surface & field analytics, and others. The Surface & Field Analytics segment led the industry in 2018 due to its wide-ranging acceptance by government and private companies for infrastructure construction programs, water flow assessment, and drainage systems design and build. This form of geospatial analytics tool is often used for study of topsoil degradation in the agriculture sector. Whereas, due to its improved usage to automate marketing campaigns, the Network & Location Analytics segment is projected to emerge as the fastest growing segment over the forecast timeframe.
- Aerospace and Defense
- Agriculture
- Automotive and Transportation
- Business and Finance
- Chemical and Materials
- Consumer Goods and Retails
- Electronics and Semiconductor
- Energy and Power
- Food and Beverages
- Machinery and Equipment
- Manufacturing and Construction
- Medical Devices
- Pharmaceuticals and Healthcare
- Service and Software
- Technology, Media and Telecommunications
- Travel and Tourism
