What is Commercial Real Estate Data? Best Datasets & Databases in 2024

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Eugenio Caterino
Editor & Data Industry Expert

What is Commercial Real Estate Data?

Commercial real estate data refers to information and statistics related to properties used for business purposes, such as office buildings, retail spaces, and industrial facilities. It includes details about property characteristics, market trends, rental rates, occupancy rates, sales transactions, and other relevant data. This information is crucial for investors, developers, brokers, and other professionals in the commercial real estate industry to make informed decisions and assess the value and potential of properties.
Examples of Commercial Real Estate Data include property listings, transaction records, market reports, vacancy rates, rental rates, and property ownership information. Commercial Real Estate Data is used by investors, brokers, developers, and researchers to analyze market trends, make informed investment decisions, assess property values, and identify potential opportunities. In this page, you’ll find the best data sources for commercial real estate datasets, free commercial real estate databases, commercial property data, and commercial real estate APIs, including commercial lease databases.

Best Commercial Real Estate Datasets & APIs

Promoted
Starts at
$60,000 / year
Free sample preview
4.8(4)

Crawlbee | Commercial Real Estate Data | Construction Data | Commercial & Non Commercial Data | Property Data

Available for 1 countries
150M total records
1 days of historical data
98% Accuracy
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
revenue share
5.0(17)

SafeGraph Commercial Real Estate Data | Global Real Estate Coverage | 52M+ Places

Available for 3 countries
11M POI (Points of Interest)
3 years of historical data
Starts at
$0.10 / purchase
Free sample preview

BIGDBM US Commercial Property/Real Estate Data

by BIGDBM
Available for 1 countries
30M Records
Pricing available upon request
Free sample preview
4.9(2)
Starts at
$1,000 / purchase
5.0(1)
Starts at
€0.24 / record

BatchData Property Data Search/Lookup API - Residential Real Estate Data and Commercial Real Estate Data

Available for 1 countries
155M Property Records
3 years of historical data
100% Fill Rate
Starts at
$0.01 / API Call
Free sample preview
5.0(3)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Available Pricing:
One-off purchase
Monthly License
Yearly License
Free sample preview
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview

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Top Commercial Real Estate Data Providers

When sourcing for commercial real estate data providers, consider factors such as data accuracy, coverage, timeliness, customization options, pricing, integration capabilities, customer support, and reputation in the industry.

Commercial Real Estate Data Use Cases

Commercial Real Estate Data Explained

Commercial Real Estate Data Use Cases

1. Market Analysis and Research

Commercial real estate data is extensively used for market analysis and research purposes. It provides valuable insights into market trends, property values, vacancy rates, rental rates, and other key indicators. This information helps investors, developers, and brokers make informed decisions about buying, selling, or leasing commercial properties. Market analysis and research also involve studying demographic data, economic indicators, and local regulations to identify potential opportunities and risks.

2. Property Valuation and Appraisal

Accurate property valuation is crucial in commercial real estate transactions. Commercial real estate data is used to assess the value of properties based on factors such as location, size, condition, amenities, and recent sales comparables. This data helps appraisers, lenders, and investors determine fair market value, loan-to-value ratios, and potential return on investment. Property valuation and appraisal also play a significant role in property tax assessments and insurance underwriting.

3. Investment and Portfolio Management

Commercial real estate data is essential for investment and portfolio management. Investors and asset managers rely on this data to identify potential investment opportunities, evaluate risk and return profiles, and optimize their portfolios. It provides information on property performance, cash flows, occupancy rates, lease terms, and tenant profiles. By analyzing this data, investors can make informed decisions about acquiring, disposing, or repositioning assets to maximize returns and mitigate risks.

4. Site Selection and Development

When selecting sites for new commercial developments, businesses and developers heavily rely on commercial real estate data. This data helps identify suitable locations based on factors such as demographics, traffic patterns, proximity to amenities, and competition. It also provides insights into zoning regulations, land use restrictions, and environmental considerations. By leveraging this data, businesses can make informed decisions about site selection, optimize their development plans, and minimize potential risks.

5. Tenant and Market Demand Analysis

Commercial real estate data is used to analyze tenant and market demand for specific property types and locations. This analysis helps landlords, property managers, and leasing agents understand market dynamics, identify target tenant profiles, and set competitive rental rates. By studying historical and current market data, they can anticipate future demand trends, adjust marketing strategies, and optimize lease negotiations. Tenant and market demand analysis is crucial for maximizing occupancy rates and rental income.

6. Marketing and Sales Outreach

Marketing and sales outreach in commercial real estate relies on accurate and comprehensive contact data. This data helps brokers, agents, and marketing teams identify potential commercial real estate leads, target specific demographics, and tailor their marketing campaigns. By using commercial real estate data, they can develop effective outreach strategies, optimize advertising budgets, and enhance lead generation efforts.

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