Warehouse Real Estate Data
Buy and sell warehouse real estate data data. Vacancy rates, lease prices, and cap rates for industrial real estate. The $1.2T warehouse market runs on availability data.
No listings currently in the marketplace for Warehouse Real Estate Data.
Find Me This Data →Overview
What Is Warehouse Real Estate Data?
Warehouse real estate data encompasses critical metrics that track the industrial property market, including vacancy rates, lease pricing, capitalization rates, and facility specifications. This data supports the $1.2 trillion warehouse market by providing visibility into availability, supply trends, and pricing dynamics across regional markets. The US warehouse sector spans approximately 13.6 billion square feet across thousands of facilities, with average warehouse sizes growing significantly—from 138,266 square feet in 2010 to 218,281 square feet by 2020. Buyers rely on comprehensive, market-level data covering 55+ major regions to inform acquisition, leasing, and investment decisions in this capital-intensive sector.
Market Data
13.6 billion square feet
Total US Warehouse Space (2020)
Source: Forbes
60% increase (138,266 → 218,281 sq ft)
Average Warehouse Size Growth (2010–2020)
Source: Forbes
188,458 facilities
Number of US Warehouses (2020)
Source: Forbes
1.3% annually
Warehouse Space CAGR (2010–2020)
Source: Forbes
Who Uses This Data
What AI models do with it.do with it.
Real Estate Investment Firms
Use vacancy rates, lease pricing, and cap rate data to identify acquisition targets and evaluate portfolio performance across regional markets.
Logistics & Supply Chain Operators
Track facility availability and lease costs to optimize network expansion and facility sourcing decisions in key distribution corridors.
Commercial Real Estate Brokers
Leverage market intelligence on pricing and availability to support client negotiations, valuations, and strategic positioning in competitive markets.
AI-Driven CRE Platforms
Integrate warehouse data into predictive analytics and market intelligence tools to enhance investment decision-making and automate due diligence workflows.
What Can You Earn?
What it's worth.worth.
Standardized Market Reports
Varies
Subscription or per-report access to regional vacancy, pricing, and cap rate snapshots.
API/Data Feed Access
Varies
Tiered pricing based on query volume, geographic coverage, and update frequency.
Custom Analytics Datasets
Varies
Premium pricing for proprietary analysis, historical trending, and integrated unstructured market data.
What Buyers Expect
What makes it valuable.valuable.
Geographic Coverage & Granularity
Data should cover 55+ major markets and regions (Atlanta, Eastern Pennsylvania, West Michigan, etc.) with clear geographic boundaries for aggregation and filtering.
Metric Completeness
Comprehensive reporting of vacancy rates, average lease pricing ($/sq ft), capitalization rates, facility size distribution, and year-over-year trend analysis.
Facility Size Thresholds
Clear documentation of minimum facility size tracked (e.g., 30,000+ sq ft baseline); acknowledge gaps in ultra-small warehouses and dark store conversions to maintain transparency.
Data Freshness & Updates
Regular refresh cycles (quarterly or monthly) to reflect market dynamics, new construction completions, and lease rate changes across all covered regions.
Integration with AI/Analytics Tools
Structured formats and APIs that enable seamless ingestion into predictive models, CRE platforms, and automated valuation engines used by institutional buyers.
Companies Active Here
Who's buying.buying.
AI-driven pricing tools and predictive insights for warehouse investment and brokerage decisions.
Combines structured and unstructured warehouse market data with automation for investment due diligence and market intelligence.
Supplies AI-powered market intelligence and pricing tools to help CRE professionals evaluate warehouse acquisition and leasing opportunities.
Compiles comprehensive warehouse market data covering 55+ regions with facility counts, size metrics, and trend analysis.
FAQ
Common questions.questions.
What is the typical scope of warehouse real estate datasets?
Leading datasets track 55+ major warehouse markets including regions like Atlanta, Eastern/Central Pennsylvania, and West Michigan. They document facility counts, average square footage, and lease metrics across the 13.6 billion square feet of US warehouse space, though most focus on facilities 30,000+ sq ft in size.
How do I validate the quality and completeness of warehouse data?
Verify geographic coverage against your target markets, confirm minimum facility size thresholds and any known gaps (e.g., small warehouses, dark stores), check update frequency, and review whether data is sourced from public records, broker reports, or proprietary field collection.
What metrics matter most for warehouse real estate analysis?
Key metrics include vacancy rates (available sq ft / total sq ft), average lease pricing ($/sq ft/year), capitalization rates, facility size distribution, and year-over-year growth trends by region. Integration with builder activity and ecommerce demand data strengthens investment insights.
How are warehouse datasets used in AI/ML models?
CRE platforms and AI tools ingest warehouse data as structured inputs for predictive valuation models, market trend forecasting, and automated investment scoring. Many integrate this with unstructured data (tenant reports, zoning documents) to enhance risk assessment and due diligence automation.
Sell yourwarehouse real estatedata.
If your company generates warehouse real estate data, AI companies are actively looking for it. We handle pricing, compliance, and buyer matching.
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