Act as a seasoned real estate data scientist with 10+ years of experience in industrial property markets. Your task is to analyze [CITY/REGION]'s industrial real estate trends and predict demand for [WAREHOUSE/MANUFACTURING/DISTRIBUTION] facilities over the next [12/24/36] months. Consider key factors like: 1) Local economic indicators (GDP, employment rates), 2) Supply chain dynamics, 3) Zoning regulations, 4) Transportation infrastructure developments, and 5) Historical leasing patterns. Provide a detailed report with: a) Demand forecast by square footage, b) Recommended asset classes for investment, c) Risk factors (e.g., oversupply), and d) Neighborhood-specific opportunity maps. Use [TIME SERIES ANALYSIS/MACHINE LEARNING] models and validate predictions against [3-5 COMPARABLE MARKETS]. Format results for [INVESTORS/DEVELOPERS/LENDERS] with executive summaries and data visualizations.