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5/6/2026
May 2026
Alternative Data Sources in Real Estate explores the growing role of non traditional data and artificial intelligence in real estate investment analysis. As market dispersion increases and traditional indicators alone become less effective at identifying early turning points, the report assesses how more granular, forward looking signals may complement established metrics.
The publication reviews a broad alternative data stack, ranging from market level intelligence and location data to behavioural, web and geospatial signals. It highlights how these data layers can provide insight into asset usage, tenant demand, liquidity conditions and cash flow resilience, with examples across office, retail, logistics, living and hospitality sectors.
Rather than replacing fundamentals, the report emphasises the importance of disciplined interpretation and a human in the loop approach. When applied thoughtfully, alternative data and AI may: enhance underwriting, improve asset selection, support more dynamic portfolio monitoring and strengthen risk management in increasingly complex real estate markets.