What is Commercial Real Estate Data? Examples, Providers & Datasets to Buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
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.
What Are Examples of Commercial Real Estate Data?
Examples of commercial real estate data include datasets offering insights into property performance and market trends. Key examples include:
- Property Details: Information on building size, location, and amenities.
- Market Trends: Data on rental rates, vacancies, and occupancy levels.
- Transaction Data: Sale and lease histories for commercial properties.
- Valuation Metrics: Estimated property values and cap rates.
- Tenant Information: Details about businesses occupying commercial spaces.
Editor's Pick
Best Commercial Real Estate Databases, Datasets & API
The best commercial real estate datasets provide comprehensive insights into property details, market trends, and transaction histories. This curated list features the top CRE datasets and APIs, selected for accuracy, quality, and trusted providers where you can buy commercial real estate data.
Commercial Real Estate Data | Commercial Real Estate Professionals in Europe | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee
SafeGraph Commercial Real Estate Data | Global Real Estate Coverage | 56M+ Places
Commercial Real Estate Data | Construction Data | Commercial & Non Commercial Data | Property Data
BatchService - Permit Data (Residential Real Estate Data + Commercial Real Estate Data) for Developers, Home Improvement and Utility Companies
Doorda UK Commercial Real Estate Data | Property Data | 6M+ Locations from 320 Data Sources | Business Intelligence and Analytics
TagX | Commercial Real Estate data | Commercial & non-commercial data | Household and Residential Property Data | Global coverage | updated monthly
Think Data Group |Commercial Real Estate Data|Realeflow Data|120MM+ Property Records|136B+ Data Points|Updated Monthly|Homes likely to sell in 90 days
Urban Planning Data | 230M+ Locations | Commercial Real Estate & Property Market Insights
Real Estate Market Data | Commercial & Residential Real Estate | Sell & Rent Insights | Global Real-Time Real Estate Data from All Websites
POI Profiling — Acoustic Data + Occupancy for Commercial Real Estate (10M+ Check-ins)
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Top Commercial Real Estate Data Providers & Companies
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Immobiliare.it Insights
Immobiliare.it Insights is a proptech dedicated to the analysis and processing of Italian and foreign real estate market data. We offer highly detailed real estate analysis with demand, supply and transaction data, energy performance indicators, location intelligence and much more.+1BILDemand data+2MReal Transactions+25MEnergy Datapoints -
BIGDBM
CoverageUSABIGDBM is a leading provider of US consumer and B2B data with unrivaled quality, coverage, and affordable pricing. Additionally, BIGDBM is a highly sought-after data engineering and software development outsourcing firm for many data suppliers worldwide.765 Mil+Emails600 Mil+Phones155 Mil+Properties -
TagX
CoverageUSAUK+248VWe requested data in the form of various forms and documents associated with Tax and Bookkeeping that we plan to use to developing a digital document processing solution based on artificial intelligence.
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BatchService
CoverageUSADeepen the insights your platform or application offers by harnessing unparalleled property data and accurate owner contact information from a single API.74%Right Party Contact Rate600+Data Points900%Efficiency Improvement
Popular Use Cases for Commercial Real Estate Data
Commercial real estate data is vital for property analysis, investment strategies, and market research. Investors use it for property valuation, assessing market value and cap rates for potential purchases. It supports tenant analysis, providing insights into occupancy trends and tenant profiles. Additionally, market trend analysis leverages CRE data to track rental rates, vacancies, and demand, just to mention a few.
Main Attributes of Commercial Real Estate Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 18 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 16 datasets | |
| String | The name of a city. | View 15 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 13 datasets | |
| String | The first name of a contact. | View 10 datasets | |
| String | The name of a brand. | View 9 datasets |
Commercial Real Estate Data Use Cases in Detail
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.
Typical Commercial Real Estate Data Attributes
| Attribute | Description | Use Case |
|---|---|---|
| Property Size | Square footage or acreage of commercial buildings or land. | Used to compare properties and determine suitability for specific business needs. |
| Rental Rates | Pricing data for leasing commercial spaces, including per square foot rates. | Helps businesses and investors evaluate affordability and market competitiveness. |
| Occupancy Levels | Percentage of leased versus available units in a property. | Assists in analyzing market demand and identifying high-performing locations. |
| Transaction History | Records of sales, leases, and transfers of ownership. | Provides insights into market trends and property value changes over time. |
| Tenant Details | Information on current or past tenants, including industry and lease terms. | Used to assess tenant mix and understand property revenue potential. |
| Market Trends | Data on vacancy rates, demand, and pricing within specific geographic areas. | Guides investment decisions and helps forecast future market conditions. |
Frequently Asked Questions
How is the Quality of Commercial Real Estate Data Maintained?
The quality of Commercial Real Estate Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Commercial Real Estate Data Updated?
The update frequency for Commercial Real Estate Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Commercial Real Estate Data Secure?
The security of Commercial Real Estate Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Commercial Real Estate Data Delivered?
Commercial Real Estate Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Commercial Real Estate Data.
How Much Does Commercial Real Estate Data Cost?
The cost of Commercial Real Estate Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Commercial Real Estate Data for your needs.
What Are Similar Data Types to Commercial Real Estate Data?
Commercial Real Estate Data is similar to other data types, such as Mortgage Data, Home Ownership Data, Property Data, Real Estate Market Data, and Residential Real Estate Data. These related categories are often used together for applications like Property Valuation and Real Estate Analytics.
