Geospatial Analytics Market to Benefit from COVID-19 Pandemic
With the help of emerging technologies, the outbreak of the pandemic has created enormous development prospects in the geospatial analytics market. During the pandemic, the increased usage of smart wearables, robots, and drones is assisting the growth of geospatial analytics solutions. Maps and GIS give valuable information to assist enterprises in responding to the crisis, maintain operational continuity, and support the reopening process. GIS, analytics, and big data are just a few examples of technologies that can be used to better comprehend the situation and make informed decisions in a timely manner.
Epidemiologists and other organizations employ GIS-based decision-making tools to investigate the patterns of previous outbreaks such as Ebola and Polio. GIS-based comparative analysis is assisting in understanding and assessing the source and pattern of COVID-19. GIS can also be used to keep track of available resources and plan interventions. The source of infection can be determined by mapping confirmed and active COVID-19 cases. The mapping of demographic data aids in the monitoring of risk groups and vulnerable areas. Geospatial technology forecasts and examines organizational risk areas, as well as assess operational capacity to improve business continuity.
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Growing Number of AI and ML-Based GIS Solutions
AI and machine learning capabilities have advanced significantly in recent years. These capabilities, when combined with geospatial data, provide enterprises with increased insights. A growing number of geospatial analytics solution providers are adopting AI and ML technology-based solutions to give enterprises increased insights. For example, Microsoft and Esri debuted Geospatial AI on Azure in March 2018.
Cray announced new capabilities in June 2019 to help data scientists and engineers pioneering in the field of Geospatial AI. In recent years, drone and satellite imagery equipment has been created at a faster rate, making it harder to interpret all data using standard computing methods. AI and machine learning save a large amount of time and resources by performing tasks such as image classification, object detection, semantic segmentation, and instance segmentation. Geospatial analytics solution providers would be able to give advanced solutions to customers and deploy them much more efficiently as AI and ML technologies evolved. The demand for geospatial analytics is predicted to rise dramatically as geospatial analytics solution providers progressively offer AI- and ML-based software solutions to customers.
Market Segmentation
By Application, Survey Solution to Lead the Market During the Forecast Period
Surveying is a way of evaluating the distances and angles between two places on the earth's surface. It is crucial in infrastructure development, transportation planning, determining land boundaries, construction planning, urban planning, and smart city development. Surveyors collect, import, convert, and store geographic data using GNSS devices and GIS software. The widespread use of LiDAR technology is likely to increase demand for surveying applications.

Regional Analysis
Europe to Dominate the Global Market
The geospatial analytics market in Europe is expected to grow significantly. The region's leaders are the United Kingdom, Germany, and France. This is owing to a surge in demand for geospatial technology for automotive and aerospace safety and security applications.

Key Players
Some of the key players of geospatial analytics market include IBM Corporation (U.S.), Trimble Navigation Ltd. (U.S.), ESRI (U.S.), General Electric (U.S.), MDA (Canada), Fugro N.V. (Netherlands), and RMSI (India), Alteryx (U.S.), Hexagon AB (Sweden), Harris Corporation (U.S.), DigitalGlobe, Inc. (U.S.), Bentley Systems, Inc. (U.S.), and Transerve technologies (India).
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