Global Geospatial Analytics Market to 2030 - Opportunity Analysis and Industry Forecasts
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Dublin, April 21, 2022 (GLOBE NEWSWIRE) -- The "Geospatial Analytics Market by Component, solution, Deployment Mode, Organization Size, and Technology Type, Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2021-2030" report has been added to ResearchAndMarkets.com's offering.

Geospatial analytics is a process of gathering, manipulating, and displaying large set of data collected from various imageries, which include satellite images and geographic information system (GIS) data. The solution helps users with advanced mapping, modeling, and statistical derivations from data gathered through geospatial interface and satellite bound outputs.

In addition, geospatial analytics uses various data sources to understand the complex relationship between people and places. Furthermore, geospatial analytics is majorly applicable in weather monitoring, crisis management, climate change modeling, and sales analysis of industries, animal population management, and human population forecasting. In addition, many industries are adopting geospatial analytics, as it facilitates real-time forecasting and helps in gaining better insights of data.

The key factors driving the growth of the global geospatial analytics market include surge in demand for AI-based GIS solutions and increase in demand for geospatial analytics in smart cities development and urban planning. In addition, integration of GIS with mainstream technologies for business intelligence positively impacts the growth of the market. However, high cost of geospatial analytics and regulatory issues and lack of comprehensive government policies regarding geospatial analytics are expected to hamper the market growth. On the contrary, rise in adoption of cloud-based GIS and increase in application of augmented reality (AR) & virtual reality (VR) technologies in geographic information system are expected to offer remunerative opportunities for the expansion of the global market during the forecast period.

The global geospatial analytics market is segmented into component, deployment model, solution, type, technology, industry vertical, and region. In terms of component, the market is fragmented into solution and services. On the basis of solution, it is categorized into geocoding & reverse geocoding, data integration & ETL, reporting & visualization, thematic mapping & spatial analysis, and others. Depending on deployment model, it is bifurcated into on-premise and cloud. In terms of enterprise size, the market is fragmented into large enterprises and SMEs.