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xford Economics has launched an upgraded Real Estate Economics Service that now covers 100 global cities, offering a deeper, more consistent view of the forces that drive worldwide property performance. By combining AI‑derived supply data with model‑backed demand insights, the service stands as the most comprehensive independent forecasting tool available today.
At its core is Oxford Economics’ Global Economic Model, ensuring every forecast is firmly anchored in macro‑economic fundamentals. “The real‑estate market is more complex than ever—tariffs, higher‑for‑longer rates, geopolitical tensions and climate risks all influence property,” said Innes McFee, Managing Director of Macro, Industry and City Services. “Our infrastructure links the macroeconomy, financial markets, city economies and local performance to deliver actionable insights.”
The service introduces a new building‑stock dataset built from geospatial imagery, AI and machine learning. Traditional ground surveys are subjective and inconsistent; the new approach captures building footprints, classifies types, and estimates stock with greater accuracy and scalability, providing a consistent, scalable view of supply.
George Armitage, Managing Director and Global Head of Real Estate, added, “The industry has long demanded more frequent, higher‑quality data. Local teams vary, producing fragmented views that are hard to compare. We apply a single, consistent methodology across all markets, supported by cutting‑edge analytics, giving clients reliable like‑for‑like comparisons across countries, cities and sectors—essential for those with multi‑region exposure.”
Oxford Economics is the world’s leading independent economic advisory firm, covering over 200 countries, 100 sectors and 8,000 cities and regions. We deliver insights that help clients make faster, informed decisions in an increasingly complex world.
For media enquiries, contact Julio Urdaneta, Global Head of Media Relations, at [email protected] or [email protected], +1 646.503.3069, mobile +1 410.564.7385.
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