3 Spatial Data Science Trends to Watch in 2021

Spatial data science is evolving rapidly due to global changes such as climate change and COVID-19, requiring real-time analysis and new solutions. Cloud-native spatial data infrastructures are emerging, enabling faster and more efficient analysis with less "plumbing" worries. Next-gen data warehouses like BigQuery and Snowflake provide scalable processing power through SQL or Python notebooks, while next-generation data warehouses add spatial support to their products. Data democratization is key, allowing access to high-quality location data and simplifying the licensing process through data marketplaces. These trends can help industries recover from 2020's events, with increasing adoption predicted in CPG & Retail, Financial Services, and Logistics.

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