What is Construction Data? Providers & Datasets to Buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What Is Construction Data?
Construction data refers to structured and unstructured information related to building projects, infrastructure development, and architectural planning. It provides insights into project timelines, cost estimates, permit approvals, and supply chain logistics.
Many construction companies leverage digital tools like Building Information Modeling (BIM) and Common Data Environments (CDE) to store and manage construction-related data. These datasets help streamline decision-making, improve safety compliance, and enhance operational efficiency.
What Are Examples of Construction Data?
Construction data encompasses various categories, each serving a specific purpose. Examples include:
- Construction Project Leads – Datasets containing lists of contractors, developers, and decision-makers in the construction industry, including project leads, company contacts, and land use data.
- Building Permit Data – Records of approved permits for residential, commercial, and industrial projects, including location and type of work.
- Company & Contractor Data – Directories of construction firms, general contractors, and subcontractors with contact details and project history.
- Building Material Data – Information on construction materials, pricing trends, and regional availability for cost planning.
- Construction Equipment Data – Market insights on heavy machinery usage, sentiment analysis from equipment managers, and equipment pricing trends.
- Geospatial & Climate Data – Satellite-derived climate information for urban planning, heatwave analysis, and environmental impact assessments.
Access the Best Construction Databases & Datasets
Datarade provides access to a wide range of construction datasets, including real-time project tracking, permit approvals, and material cost analysis. These datasets help stakeholders monitor industry trends, assess risks, and improve project planning.
Construction data can be integrated into project management software, analytics platforms, and procurement systems to provide actionable insights for builders, architects, and engineers.
Construction Data | Building Materials & Construction Industry Leaders in Europe | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee
Construction Data | Construction Projects Lead Data | USA | Land Use and Company | Contractor Lists
US Permit and Construction Records | National Coverage | Bulk or Custom Pull | 330M Permits | 60M Properties | Residential & Commercial
Commercial Real Estate Data | Construction Data | Commercial & Non Commercial Data | Property Data
US National Building Permit Data | 200M+ Records | Residential Construction Data
List of 20M Construction companies worldwide
B2B Email Data | 1.6M Construction Professionals| Verified Safe to Email
B2B Contact Data | 1.6M Construction Contact Data Set | Verified Safe to Email
B2B Marketing Data | Construction | 1.6M US Programmatic/Digital Audience Segments | B2B Marketing Data
50K+ Construction Site Images | AI Training Data | Machine Learning (ML) data | Object & Scene Detection | Global Coverage
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Top Construction Data Providers & Companies
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CrawlBee
CoverageUSAUK+247VI contacted CrawlBee's CEO, Ryan DeWitt through Datarade. Ryan is very flexible, friendly, and extremely helpful! he worked with me to get the mortgage data I need for my research project. The data is very thorough and accurate. I highly recommend CrawlBee as I truly had a very good experience!
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AutoScraping
CoverageUSAUK+248We convert millions of unstructured data on structured, clean and precise data.+300Clients100%Job succes on Upwork+100kScraped websites -
costdata
CoverageUSAUK+248costdata provides precise solutions for product costing and cost optimization. With a unique database and software, we combine industry expertise with cutting-edge technology to support businesses in making informed decisions in procurement, R&D, controlling, cost engineering, sales and management.33,000+Metals with Pricing Data14,000+Plastics with Pricing Data13,500+Machines with Simulation -
The Warren Group
CoverageUSAThe Warren Group is the leading national provider of Real Estate Data including Mortgage Data, Loan Originator Data, Sales Data, Property Data & more.99%Coverage1872Year Founded1B+Property & Mortgage Records -
Success.ai
CoverageUSAUK+248VI’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
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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 Construction Data
Construction data serves multiple purposes across industries, improving efficiency, reducing costs, and enhancing decision-making. Here are some key use cases:
- B2B Lead Generation – Identifying potential clients, project opportunities, and new business partnerships.
- Market Research – Analyzing construction trends, demand for materials, and labor market dynamics.
- Urban Planning & City Development – Using data insights to design smarter and more sustainable urban infrastructure.
- Supply Chain Optimization – Streamlining procurement and logistics for construction materials and equipment.
- Risk Assessment & Compliance – Ensuring adherence to building codes, safety regulations, and environmental guidelines.
- Cost Management & Budgeting – Forecasting expenses and optimizing resource allocation for large-scale projects.
- Competitive Intelligence – Monitoring competitors’ projects, bids, and industry innovations.
Main Attributes of Construction Data
Construction datasets include multiple attributes that provide valuable insights for developers, engineers, and policymakers:
- Project Name & Location – Essential for tracking new developments and ongoing projects.
- Permit Details – Information on approval status, type of construction, and regulatory requirements.
- Material & Equipment Costs – Data on pricing trends and availability of construction supplies.
- Contractor & Subcontractor Information – Identifying key stakeholders and their project histories.
- Safety Compliance Records – Tracking incidents, inspections, and legal requirements.
- Weather & Environmental Conditions – Impact of climate on construction schedules and safety.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a company or business, might be the legal or brand name. | View 26 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 25 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 21 datasets | |
| String | The industry classification of a company. | View 20 datasets | |
| String | The first name of a contact. | View 20 datasets | |
| String | The last name (surname) of a contact. | View 20 datasets |
Why Is Construction Data Important?
The construction industry is rapidly evolving, with increased reliance on digital tools and data-driven decision-making. Access to high-quality construction data provides several advantages.
Project Efficiency & Cost Reduction
Accurate cost estimates and material tracking help minimize budget overruns and improve resource management. Builders can optimize timelines and reduce waste by leveraging predictive analytics and project forecasting.
Compliance & Risk Mitigation
Construction data helps companies adhere to zoning laws, environmental regulations, and safety guidelines. Automated compliance monitoring reduces the risk of fines and legal complications.
Competitive Advantage
Firms that leverage construction data for bidding, supplier negotiations, and market research gain an edge in securing contracts and optimizing operations.
Methods for Collecting Construction Data
Construction data is collected through various means, including:
- Government & Municipal Records – Public databases provide building permits, zoning laws, and safety regulations.
- Satellite & Drone Imaging – Aerial surveys and remote sensing technologies monitor site progress and terrain conditions.
- IoT Sensors & Wearables – Real-time monitoring of equipment usage, worker safety, and environmental conditions.
- Project Management Software – Tools like BIM and CDE centralize and analyze construction data.
- Supplier & Procurement Databases – Tracking material costs, availability, and logistics.
What Is the Difference Between BIM and CDE?
The difference between Building Information Modeling (BIM) and Common Data Environment (CDE) lies in their function and purpose within the construction industry.
BIM is a digital representation of a building’s physical and functional characteristics, allowing architects, engineers, and contractors to collaborate in real time by creating and managing 3D models. It enhances efficiency by visualizing designs before construction begins, reducing errors and streamlining workflows.
CDE serves as a centralized platform for storing and managing all construction-related data, ensuring consistency and easy access across teams. It acts as a single source of truth, organizing documentation, project updates, and communication, which helps in maintaining seamless coordination throughout a project’s lifecycle.
What Is a Construction Data Report?
A construction data report compiles key project insights to provide stakeholders with a clear overview of progress, costs, and efficiency. It typically includes budget analysis, tracking actual expenses against projected costs to prevent financial overruns.
Project timeline updates highlight completion status and potential delays, helping teams adjust schedules accordingly.
The report also evaluates material and resource usage, ensuring supply chain efficiency and optimal allocation of construction materials. Additionally, compliance and safety records are documented, verifying adherence to legal and regulatory requirements, which is essential for risk management and maintaining industry standards.
Frequently Asked Questions
How is the Quality of Construction Data Maintained?
The quality of Construction 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 Construction Data Updated?
The update frequency for Construction 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 Construction Data Secure?
The security of Construction 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 Construction Data Delivered?
Construction 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 Construction Data.
How Much Does Construction Data Cost?
The cost of Construction 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 Construction Data for your needs.
What Are Similar Data Types to Construction Data?
Construction Data is similar to other data types, such as Mortgage Data, Home Ownership Data, Property Data, Real Estate Market Data, and Commercial Real Estate Data. These related categories are often used together for applications like B2B Lead Generation.
