Open-Source Intelligence Market Size, Share, Trends, Growth, and Industry Analysis, By Technique (Security Analytics, Text Analytics, Social Media Analytics, Video Analytics, Geospatial Analytics), By Application (Military andamp; Defense, Private Sector, Public Sector, National Security), Regional Analysis and Forecast Period 2026-2035 structured market dataset supplied in Excel format with the purchased market research report. It includes available historical data, forecast data, CAGR, segment analysis, and regional analysis.

This dataset contains daily geospatial data of Russian-occupied areas in Ukraine, automatically extracted from the open-source DeepStateMap project. The dataset is generated using a Python-based pipeline and updated daily via GitHub Actions.

The data includes:

Daily GeoJSON-based snapshots of territorial control Centroid coordinates and area for each polygonal zone Polygon geometries in WKT (Well-Known Text) format Cleaned, structured, and aggregated into a single CSV for ease of use

This dataset is intended for:

Open-source intelligence (OSINT) workflows Conflict zone mapping and territorial change analysis Machine learning model training on spatial or temporal patterns Geospatial dashboards and time series visualizations

The full data processing pipeline and automation scripts are openly available on GitHub: https://github.com/lazar-bit/deepstate-map-data-analytics