The State of Spatial Analytics 2026 - Register interest!

Spatial Analytics has evolved from a niche specialty to a critical component of business strategy, as highlighted in recent industry reports. Key findings show a significant shift towards cloud-based spatial analysis, with nearly 70% of respondents now using the cloud, up 14 percentage points from previous surveys, emphasizing the cloud's role in managing complex spatial data. While platforms like GeoPandas, GDAL, CARTO, Esri, QGIS, and Tableau remain widely used, there is an emerging trend of integrating AI and machine learning models to enhance spatial analysis capabilities. Despite the growing demand for spatial expertise, a skills shortage persists, with almost 69% of respondents reporting difficulty in hiring Spatial Data Scientists. Additionally, over 25% of organizations have yet to adopt AI in their spatial workflows due to concerns about data security and unclear use cases. The report underscores the increasing democratization and integration of Spatial Analytics, driven by the cloud, data governance, and AI, as the industry transitions from traditional GIS to more advanced, agent-driven models.