Spatial analytics has evolved significantly in recent years, transitioning from a specialized niche to a crucial business function that influences real-time strategic decisions. The State of Spatial Analytics 2026 report seeks input on cloud adoption, AI integration, skills, and tools to map this evolution. A notable trend is the increased use of cloud platforms for spatial analysis, with 70% of respondents now utilizing cloud solutions, enhancing performance and scalability for large-scale workflows. Despite the growing demand for spatial expertise, there is a persistent skills shortage, with nearly 69% of respondents finding it challenging to hire spatial data scientists. AI adoption in spatial analytics is still limited, with over 25% of organizations not utilizing AI, primarily due to data security concerns and unclear use cases. The report emphasizes the importance of new training strategies to bridge the skills gap and invites contributions to shape the future of spatial analytics.