Mapping the Future: AI-based GIS Solutions and the Geospatial Analytics Market

The market for geospatial analytics will expand rapidly during the forecast period. A compilation of terrestrial data with address coordinates in longitudes and latitudes, city, municipality, or ZIP code is the definition of geospatial analytics.?

The information is collected via satellite, GPS (Global Positioning System), remote sensing, and geotagging. GIS (Global Information System) is also utilized to analyze and map geospatial data. Without physical contact, remote sensing instruments collect geophysical data using sensors.?

The coronavirus outbreak has disrupted the expansion of numerous industries, impeding numerous nations' economic expansion. However, this has created enormous opportunities for the geospatial analytics industry. This technology saved millions of lives during the COVID crisis by monitoring and tracing patients, mapping containment zones, and identifying the source of infections in high-risk areas.

Increased urbanization, the development of smart cities, and the deployment of advanced technologies such as big data analytics, artificial intelligence, and MI-based GIS solutions are driving the growth of the geospatial analytics market.

In recent years, the geospatial analytics market has witnessed a series of product launches and approvals that have contributed to its growth.?

DataM Intelligence's in-depth market analysis reveals the major market drivers, challenges, and trends. Our market intelligence report evaluates the market size, growth, and share, providing crucial insights for businesses to make informed decisions and capitalize on the existing and upcoming opportunities in the geospatial analytics market.

Recent Developments in the Geospatial Analytics Market:

The global geospatial analytics market is highly competitive with mergers, collaborations, and product launches. Some key companies contributing to the global geospatial analytics market growth include Microsoft, Google, General Electric, SAP SE, Salesforce, Precisely, Oracle Corporation, RMSI, OmniSci, Inc., Maxar Technologies Inc., WS Atkins Limited, Hexagon AB, TomTom and Trimble Inc., among others.?

Some other key developments in the geospatial analytics market are:

• In May 2022, Intergraph G/Technology is now available on the Oracle cloud infrastructure, according to a statement from Hexagon AB. Utility operators now have more affordable start-up costs and the necessary equipment thanks to the current deployment choices, which also provide a secure, scalable geographic information solution.
• In March 2022, Esri announced a relationship with Precision Hawk. The alliance will provide the finest in geospatial intelligence by fusing Esri ArcGIS technology, the world's most dynamic spatial and mapping analytics tools, with Precision Hawk's industry-leading AI.
• Oracle introduced a comprehensive employee experience platform in April 2022 to promote employee performance and assist the company. This platform includes innovative listening, communication, productivity, and engagement technologies.
• Kudan and Innoviz Technologies announced their partnership in October 2022. Machines can walk independently and build 3D models of their environment using Innoviz LiDARs and Kudan's perception software.
• In May 2021, Location intelligence pioneer Esri announced that ArcGIS Insights, its location analytics solution, now supports connecting to cloud-native databases, including Snowflake, Google Big Query, Amazon Redshift, and Microsoft Azure SQL.

The geospatial analytics market is poised for significant growth in the coming years, with recent developments and innovations shaping its future trajectory. As the market evolves, businesses, investors, and R&D professionals must stay informed and adapt to the ever-changing landscape.?

To gain deeper insights into the geospatial analytics market and stay ahead of the competition, request a sample report from DataM Intelligence today.