Spatial analysis has become an increasingly important tool in the private equity industry, with many funds using advanced types of analysis to find new opportunities at different stages in the investment process. This trend is driven by high market valuations and an abundance of dry powder waiting to be deployed, as well as a desire for differentiation among PE firms. Spatial data science has traditionally been concentrated in industries with clear physical footprints, but funds are now willing to invest in profiles that can understand customer behavior patterns and location-related information across various investments. The use cases for spatial analysis are spreading across multiple industries such as Consumer Goods, Communication Services, Energy, and Utilities, where understanding infrastructure and networks is crucial for reaching target returns. Spatial analysis is most useful in the screening phase and portfolio management phases of a deal, where it can provide a competitive edge or increase potential valuation on exit.