RESEARCH OF INVESTMENT STRATEGIES IN THE REAL ESTATE MARKET USING GEOSPATIAL DATABASES AND SOFTWARE SOLUTIONS

Abstract

The article addresses the pressing issue of developing investment strategies in Ukraine's real estate market. The research focuses on a dynamically evolving market characterized by high uncertainty. The aim is to forecast market trends and explore major challenges of real estate investment in Ukraine, including economic instability, legislative changes, and security risks. The article also analyzes growth prospects and investment opportunities under complex socio-economic conditions.

A combination of financial evaluation methods and location analysis is applied to enhance investment decision-making. The authors categorize investors into experienced and prospective ones. Despite their different approaches, understanding market trends is essential for all investor types.

The article proposes investment strategies and investor behavior models using geographic information systems (GIS) integrated with artificial intelligence (AI) to process large volumes of historical data, macroeconomic indicators, political and geopolitical assessments, demographic metrics, and user queries. The use of geodatabases and spatial-programming components enables faster analysis and more objective strategy development.

Instead of using ready-made software solutions, the authors suggest creating custom GIS-based tools powered by AI. The research employs general scientific methods of systems analysis and geostatistics to convert discrete data into continuous representations.

The findings are useful for stakeholders in choosing real estate investment strategies, understanding market dynamics, and tailoring approaches to specific investor categories.