Every day, there are more and more unique use cases for geospatial AI companies, and for the most accurate results, you need training data that is as accurate as possible. Location and GIS are used in a number of fields, such as ride-sharing, logistics, farming, and infrastructure. Statistics about the market will help you figure out where things stand.
