This dataset package is focused on U.S construction materials and three construction companies: Cemex, Martin Marietta & Vulcan.

In this package, SpaceKnow tracks manufacturing and processing facilities for construction material products all over the US. By tracking these facilities, we are able to give you near-real-time data on spending on these materials, which helps to predict residential and commercial real estate construction and spending in the US.

The dataset includes 40 indices focused on asphalt, cement, concrete, and building materials in general. You can look forward to receiving country-level and regional data (activity in the North, East, West, and South of the country) and the aforementioned company data.

SpaceKnow uses satellite (SAR) data to capture activity and building material manufacturing and processing facilities in the US.

Data is updated daily, has an average lag of 4-6 days, and history back to 2017.

The insights provide you with level and change data for refineries, storage, manufacturing, logistics, and employee parking-based locations.

SpaceKnow offers 3 delivery options: CSV, API, and Insights Dashboard

Available Indices Companies: Cemex (CX): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates Martin Marietta (MLM): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates Vulcan (VMC): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates

USA Indices:

Aggregates USA Asphalt USA Cement USA Cement Refinery USA Cement Storage USA Concrete USA Construction Materials USA Construction Mining USA Construction Parking Lots USA Construction Materials Transfer Hub US Cement - Midwest, Northeast, South, West Cement Refinery - Midwest, Northeast, South, West Cement Storage - Midwest, Northeast, South, West

Why get SpaceKnow's U.S Construction Materials Package?

Monitor Construction Market Trends: Near-real-time insights into the construction industry allow clients to understand and anticipate market trends better.

Track Companies Performance: Monitor the operational activities, such as the volume of sales

Assess Risk: Use satellite activity data to assess the risks associated with investing in the construction industry.

Index Methodology Summary Continuous Feed Index (CFI) is a daily aggregation of the area of metallic objects in square meters. There are two types of CFI indices; CFI-R index gives the data in levels. It shows how many square meters are covered by metallic objects (for example employee cars at a facility). CFI-S index gives the change in data. It shows how many square meters have changed within the locations between two consecutive satellite images.

How to interpret the data SpaceKnow indices can be compared with the related economic indicators or KPIs. If the economic indicator is in monthly terms, perform a 30-day rolling sum and pick the last day of the month to compare with the economic indicator. Each data point will reflect approximately the sum of the month. If the economic indicator is in quarterly terms, perform a 90-day rolling sum and pick the last day of the 90-day to compare with the economic indicator. Each data point will reflect approximately the sum of the quarter.

Where the data comes from SpaceKnow brings you the data edge by applying machine learning and AI algorithms to synthetic aperture radar and optical satellite imagery. The company’s infrastructure searches and downloads new imagery every day, and the computations of the data take place within less than 24 hours.

In contrast to traditional economic data, which are released in monthly and quarterly terms, SpaceKnow data is high-frequency and available daily. It is possible to observe the latest movements in the construction industry with just a 4-6 day lag, on average.

The construction materials data help you to estimate the performance of the construction sector and the business activity of the selected companies.

The foundation of delivering high-quality data is based on the success of defining each location to observe and extract the data. All locations are thoroughly researched and validated by an in-house team of annotators and data analysts.

See below how our Construction Materials index performs against the US Non-residential construction spending benchmark

Each individual location is precisely defined to avoid noise in the data, which may arise from traffic or changing vegetation due to seasonal reasons.

SpaceKnow uses radar imagery and its own unique algorithms, so the indices do not lose their significance in bad weather conditions such as rain or heavy clouds.

→ Reach out to get free trial

...

Construction Spending in the United States decreased 0.40 percent in April of 2025 over the previous month. This dataset provides the latest reported value for - United States Construction Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Comprehensive dataset of 111,788 Construction companies in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

GDP from Construction in the United States increased to 873.80 USD Billion in the fourth quarter of 2024 from 863.70 USD Billion in the third quarter of 2024. This dataset provides - United States Gdp From Construction- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key Table Information.Table Title.Construction: Location of Construction Establishments by Employment Size for the U.S. and States: 2022.Table ID.ECNLOCCONS2022.EC2223LOCCONS.Survey/Program.Economic Census.Year.2022.Dataset.ECN Sector Statistics Economic Census: Construction: Location of Construction Establishments by Employment Size for the U.S. and States.Source.U.S. Census Bureau, 2022 Economic Census, Sector Statistics.Release Date.2025-05-15.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Employment size of establishmentsNumber of establishmentsDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S. and State levels that vary by industry. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels for U.S. and States. For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector23/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specifi...

Your Blueprint for B2B Marketing Excellence in the Construction Industry...

Solution Publishing by Allforce: Premium Construction Industry Intelligence

Solution Publishing by Allforce includes comprehensive data on professionals across: - Building Construction - General Contracting - Civil Engineering - Specialty Trade Contractors - Residential Building Construction - Highway, Street, and Bridge Construction - Building Finishing Contractors - Building Structure and Exterior Contractors - Utility System Construction - Building Equipment Contractors

In the rapidly evolving landscape of the U.S. construction industry, agility and precision in B2B marketing are not just advantageous—they're imperative. Amidst fluctuating economic conditions, Solution Publishing by Allforce stands as the premiere digital audience data product, empowering marketers with unrivaled reach and engagement capabilities.

Comprehensive Industry Reach with Precision Targeting

Solution Publishing by Allforce delivers a robust foundation of over 1.6 million addressable professionals in the construction sector. This powerful audience enables marketers to drill down to the finest detail, filtering and targeting prospects by job department, management level, and company size. Our advanced segmentation extends further with selectable fields such as buyer radius and keywords related to specific construction job functions, ensuring personalized and impactful messaging.

Multi-Channel Marketing Excellence

Direct Mail and Telemarketing In a field that appreciates the tangible and personal, our precision-targeted postal addresses deliver marketing materials directly to industry influencers. Telemarketing efforts benefit from pre-validated contacts, ensuring your sales teams engage in meaningful conversations that drive results.

Email Marketing Our monthly active engagement with contacts feeds directly into Solution Publishing's Construction Technology Solution Journal. This newsletter nurtures our database while providing invaluable engagement metrics, keeping our data fresh and ensuring retired contacts are actively removed. Your email campaigns reach receptive inboxes of professionals genuinely interested in construction technology content.

Programmatic Display In the digital arena, Solution Publishing by Allforce elevates your programmatic display campaigns by pinpointing and captivating your exact target audience. Your digital ads engage professionals actively involved in construction, from project managers to C-suite executives making technology purchasing decisions.

LinkedIn Networking With LinkedIn as the modern professional's virtual habitat, Solution Publishing by Allforce enhances your networking effectiveness. By matching our rich data with LinkedIn profiles, your teams can target potential clients with precision, nurturing professional relationships through personalized InMail messages, strategic connection requests, and tailored content.

Industry Versatility: Building Bridges Across Verticals

Our construction data ensures utility across numerous related industries:

• Building Construction: Reach companies implementing cutting-edge construction technologies
• Real Estate: Connect with developers seeking tech-driven construction efficiencies
• Telecommunications: Target providers establishing digital infrastructure
• Renewables & Environment: Engage eco-conscious construction professionals
• Wholesale Building Materials: Access innovative product seekers
• Mechanical/Industrial Engineering: Identify engineers integrating advanced building systems
• Facilities Services: Target managers optimizing building operations
• Computers and Electronics Manufacturing: Connect with producers of smart building systems
• Oil and Gas: Address construction tech needs in infrastructure projects
• Technology and Information: Reach IT professionals advancing construction management
• Utilities: Connect with professionals seeking infrastructure solutions Enriching Campaigns with Engaged Audiences

Solution Publishing by Allforce isn't merely a database—it's an ecosystem of engaged, qualified construction professionals actively interacting with relevant content. The insights from our Construction Technology Solution Journal empower your campaigns with data on what resonates with your audience, enabling hyper-targeted messaging that yields higher conversions. Your Strategic Advantage in Construction Marketing

With Solution Publishing by Allforce as the foundation of your B2B marketing strategy, you gain access to intelligence as solid as the industry it serves. Harness our detailed, actively maintained data to launch multi-channel campaigns that reach the heart of the construction industry's decision-making process. Position your business as an integral part of the ongoing dialogue within this resilient and dynamic sector.

Your Blueprint for B2B Marketing Excellence in the Construction Industry...

Solution Publishing by Allforce: Premium Construction Industry Intelligence

Solution Publishing by Allforce includes comprehensive data on professionals across: - Building Construction - General Contracting - Civil Engineering - Specialty Trade Contractors - Residential Building Construction - Highway, Street, and Bridge Construction - Building Finishing Contractors - Building Structure and Exterior Contractors - Utility System Construction - Building Equipment Contractors

In the rapidly evolving landscape of the U.S. construction industry, agility and precision in B2B marketing are not just advantageous—they're imperative. Amidst fluctuating economic conditions, Solution Publishing by Allforce stands as the premiere digital audience data product, empowering marketers with unrivaled reach and engagement capabilities.

Comprehensive Industry Reach with Precision Targeting

Solution Publishing by Allforce delivers a robust foundation of over 1.6 million addressable professionals in the construction sector. This powerful audience enables marketers to drill down to the finest detail, filtering and targeting prospects by job department, management level, and company size. Our advanced segmentation extends further with selectable fields such as buyer radius and keywords related to specific construction job functions, ensuring personalized and impactful messaging.

Multi-Channel Marketing Excellence

Direct Mail and Telemarketing In a field that appreciates the tangible and personal, our precision-targeted postal addresses deliver marketing materials directly to industry influencers. Telemarketing efforts benefit from pre-validated contacts, ensuring your sales teams engage in meaningful conversations that drive results.

Email Marketing Our monthly active engagement with contacts feeds directly into Solution Publishing's Construction Technology Solution Journal. This newsletter nurtures our database while providing invaluable engagement metrics, keeping our data fresh and ensuring retired contacts are actively removed. Your email campaigns reach receptive inboxes of professionals genuinely interested in construction technology content.

Programmatic Display In the digital arena, Solution Publishing by Allforce elevates your programmatic display campaigns by pinpointing and captivating your exact target audience. Your digital ads engage professionals actively involved in construction, from project managers to C-suite executives making technology purchasing decisions.

LinkedIn Networking With LinkedIn as the modern professional's virtual habitat, Solution Publishing by Allforce enhances your networking effectiveness. By matching our rich data with LinkedIn profiles, your teams can target potential clients with precision, nurturing professional relationships through personalized InMail messages, strategic connection requests, and tailored content.

Industry Versatility: Building Bridges Across Verticals

Our construction data ensures utility across numerous related industries:

• Building Construction: Reach companies implementing cutting-edge construction technologies
• Real Estate: Connect with developers seeking tech-driven construction efficiencies
• Telecommunications: Target providers establishing digital infrastructure
• Renewables & Environment: Engage eco-conscious construction professionals
• Wholesale Building Materials: Access innovative product seekers
• Mechanical/Industrial Engineering: Identify engineers integrating advanced building systems
• Facilities Services: Target managers optimizing building operations
• Computers and Electronics Manufacturing: Connect with producers of smart building systems
• Oil and Gas: Address construction tech needs in infrastructure projects
• Technology and Information: Reach IT professionals advancing construction management
• Utilities: Connect with professionals seeking infrastructure solutions Enriching Campaigns with Engaged Audiences

Solution Publishing by Allforce isn't merely a database—it's an ecosystem of engaged, qualified construction professionals actively interacting with relevant content. The insights from our Construction Technology Solution Journal empower your campaigns with data on what resonates with your audience, enabling hyper-targeted messaging that yields higher conversions. Your Strategic Advantage in Construction Marketing

With Solution Publishing by Allforce as the foundation of your B2B marketing strategy, you gain access to intelligence as solid as the industry it serves. Harness our detailed, actively maintained data to launch multi-channel campaigns that reach the heart of the construction industry's decision-making process. Position your business as an integral part of the ongoing dialogue within this resilient and dynamic sector.

Forecast: Construction Industry Gross Output in the US 2024 - 2028 Discover more data with ReportLinker!

Energy Consumption of United States Over Time

Building Energy Data Book

By Department of Energy [source]

About this dataset

The Building Energy Data Book (2011) is an invaluable resource for gaining insight into the current state of energy consumption in the buildings sector. This dataset provides comprehensive data on residential, commercial and industrial building energy consumption, construction techniques, building technologies and characteristics. With this resource, you can get an in-depth understanding of how energy is used in various types of buildings - from single family homes to large office complexes - as well as its impact on the environment. The BTO within the U.S Department of Energy's Office of Energy Efficiency and Renewable Energy developed this dataset to provide a wealth of knowledge for researchers, policy makers, engineers and even everyday observers who are interested in learning more about our built environment and its energy usage patterns

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides comprehensive information regarding energy consumption in the buildings sector of the United States. It contains a number of key variables which can be used to analyze and explore the relations between energy consumption and building characteristics, technologies, and construction. The data is provided in both CSV format as well as tabular format which can make it helpful for those who prefer to use programs like Excel or other statistical modeling software.

In order to get started with this dataset we've developed a guide outlining how to effectively use it for your research or project needs.

• Understand what's included: Before you start analyzing the data, you should read through the provided documentation so that you fully understand what is included in the datasets. You'll want to be aware of any potential limitations or requirements associated with each type of data point so that your results are valid and reliable when drawing conclusions from them.

• Clean up any outliers: You may need to take some time upfront investigating suspicious outliers within your dataset before using it in any further analyses — otherwise, they can skew results down the road if not dealt with first-hand! Furthermore, they could also make complex statistical modeling more difficult as well since they artificially inflate values depending on their magnitude within each example data point (i.e., one outlier could affect an entire model’s prior distributions). Missing values should also be accounted for too since these may not always appear obvious at first glance when reviewing a table or graphical representation - but accurate statistics must still be obtained either way no matter how messy things seem!

• Exploratory data analysis: After cleaning up your dataset you'll want to do some basic exploring by visualizing different types of summaries like boxplots, histograms and scatter plots etc.. This will give you an initial case into what trends might exist within certain demographic/geographic/etc.. regions & variables which can then help inform future predictive models when needed! Additionally this step will highlight any clear discontinuous changes over time due over-generalization (if applicable), making sure predictors themselves don’t become part noise instead contributing meaningful signals towards overall effect predictions accuracy etc…

• Analyze key metrics & observations: Once exploratory analyses have been carried out on rawsamples post-processing steps are next such as analyzing metrics such ascorrelations amongst explanatory functions; performing significance testing regression models; imputing missing/outlier values and much more depending upon specific project needs at hand… Additionally – interpretation efforts based

Research Ideas

• Creating an energy efficiency rating system for buildings - Using the dataset, an organization can develop a metric to rate the energy efficiency of commercial and residential buildings in a standardized way.
• Developing targeted campaigns to raise awareness about energy conservation - Analyzing data from this dataset can help organizations identify areas of high energy consumption and create targeted campaigns and incentives to encourage people to conserve energy in those areas.
• Estimating costs associated with upgrading building technologies - By evaluating various trends in building technologies and their associated costs, decision-makers can determine the most cost-effective option when it comes time to upgrade their structures' energy efficiency...

This dataset provides information on 10,351 in Texas, United States as of May, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

The United States is experiencing a surge in data center construction, with the power supply under construction reaching *** gigawatts in 2024. This marks a *** percent increase from previous years, reflecting the growing demand for data storage and processing capabilities across the country. The rapid expansion of data centers underscores their crucial role in supporting the digital infrastructure that powers businesses and consumers alike. Northern Virginia leads the charge Northern Virginia has emerged as the epicenter of data center growth in the United States. In 2023, the region boasted the highest existing data center power capacity, solidifying its position as the market with the largest data center inventory in the country. Furthermore, Northern Virginia continues to dominate new construction efforts, with data centers under construction in the second half of 2024 set to add a staggering *** gigawatts of power capacity. This far outpaces other major markets such as Dallas, Austin, and NYC-NJ combined. Cloud infrastructure fuels growth The expansion of data centers is closely tied to the increasing adoption of cloud infrastructure services. Enterprise spending on cloud infrastructure services has soared in the past decade, fueled by organizations' growing demand for modern networking, storage, and database solutions. As companies continue to migrate their operations to the cloud, the need for robust data center facilities is expected to rise, further propelling the construction boom.

About this Dataset

Carefully curated list of “Construction: Contractors, Plumbers, Architects, Civil engineers, etc” in USA. We strive to keep our customers satisfied, so they no longer have to worry about finding quality leads. Which is why we offer a 100% data guarantee. If there is any information missing or incorrect we will replace it for you. Contact us immediately. What you will find below: - Contact Name - Company - Email - Contact no. & more

Category

Engineering

Keywords

US Contractors,US Architect,US Engineers,US Civil Engineer,US Real Estate

Row Count

9301

Price

$4999.00

Building Permits in the United States decreased to 1393 Thousand in May from 1422 Thousand in April of 2025. This dataset provides the latest reported value for - United States Building Permits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Artificial Intelligence (AI) In Construction Market size was valued at USD 1.53 Billion in 2024 and is projected to reach USD 14.21 Billion by 2031, growing at a CAGR of 36.00% during the forecast period 2024-2031.Global Artificial Intelligence (AI) In Construction Market DriversTechnological ProgressData Availability and Big Data Analytics: Building Information Modeling (BIM), drones, and Internet of Things (IoT) sensors are just a few of the sources that the construction sector is using to generate enormous amounts of data. AI uses this data to improve decision-making, streamline workflows, and offer predictive insights. AI applications are more reliable and accurate when big data analytics is used to handle and analyze complicated datasets.Automation and Machine Learning: More complex and precise predictive models are made possible by developments in machine learning algorithms. Artificial intelligence (AI) automation is increasing efficiency by optimizing processes including resource allocation, project management, and scheduling. AI-powered robotics are also being utilized to increase safety and decrease human error in jobs like welding, demolition, and bricklaying.Computer Vision: This technology is particularly transformative in construction. AI-powered computer vision can monitor site progress, ensure safety compliance, and detect defects in real-time. Drones and cameras equipped with AI analyze construction sites to provide actionable insights, improving quality control and reducing costly rework.Economic FactorsCost Reduction: AI helps in significantly reducing costs associated with construction projects. Through predictive maintenance, AI minimizes downtime and extends the life of equipment. Optimized resource management ensures materials are used efficiently, reducing waste and costs. Furthermore, AI-driven project management tools can prevent delays and associated costs by identifying potential issues early.Competitive Advantage: Companies adopting AI technologies gain a competitive edge by enhancing their efficiency, reducing operational costs, and delivering projects faster. This is increasingly important in a highly competitive industry where margins are often tight. Early adopters of AI in construction are likely to set industry benchmarks and attract more business.Operational EfficienciesEnhanced Productivity: AI streamlines construction processes by automating repetitive tasks, improving scheduling, and optimizing workflows. This results in increased productivity and allows human workers to focus on more complex, value-added activities. AI also enhances the accuracy of labor forecasting and deployment, ensuring optimal use of human resources.Improved Safety: Safety is a critical concern in construction. AI technologies, such as wearable devices and computer vision, monitor worker movements and site conditions in real-time to detect hazards and prevent accidents. AI-driven predictive analytics can foresee potential safety issues, allowing for proactive measures to mitigate risks.

Solution Publishing by Allforce Construction Tech Continuum: Your Blueprint for B2B Marketing Excellence in the Construction Industry.

Construction Continuum includes contacts in: • Building Construction • General Contracting • Civil Engineering • Specialty Trade Contractors • Residential Building Construction • Highway, Street, and Bridge Construction • Building Finishing Contractors • Building Structure and Exterior Contractors • Utility System Construction • Building Equipment Contractors

B2B Email Data In the rapidly evolving landscape of the U.S. construction industry, agility and precision in B2B marketing are not just advantageous—they're imperative. Amidst the ebbs and flows of economic tides, Construction Tech Continuum stands as the premiere digital audience data product, tailored to empower marketers with unrivaled reach and engagement capabilities. Safe for you to Email - We Email Newsletters to the Data Comprehensive Industry Reach with Precision Targeting

Construction Tech Continuum boasts a robust foundation of data, with over 1.6 million addressable workers in the construction sector. This powerful audience enables marketers to drill down to the finest detail, filtering and targeting prospects by job department, management level, and company size. Our advanced segmentation doesn't stop there. Marketers can further refine their campaigns with selectable fields such as buyer radius and keywords related to specific construction job functions, ensuring that every message is personalized and impactful.

Direct Mail and Telemarketing: Foundations of Success

Marketers seeking to leverage direct mail and telemarketing will find a gold mine in Construction Tech Continuum’s expansive postal and tele-contacts database. In a field that appreciates the tangible and personal, direct mail materials crafted with data from Construction Tech Continuum land straight into the hands of industry influencers, while telemarketing efforts benefit from warm leads, thanks to our pre-validated contacts, ensuring that your sales teams engage in meaningful conversations that drive results.

Email Marketing: Engage with Precision and Relevance

The engine behind our email marketing efficacy is our monthly active engagement with contacts, which feeds directly into Solution Publishing’s Construction Technology Solution Journal. This newsletter not only nurtures our database but also provides invaluable telemetry on engagement, keeping our data fresh and ensuring retired contacts are actively scrubbed from the list. This means your email campaigns are not only reaching the right inboxes but are also welcomed by recipients who are expecting and interested in construction technology content.

Programmatic Display: Capturing Attention in the Digital Space

In the digital arena, where attention is the most coveted currency, Construction Tech Continuum elevates your programmatic display campaigns. Our data helps to pinpoint and captivate the exact audience you aim to influence, ensuring that your digital ads are not merely seen but are engaged with by professionals actively involved in construction, from project managers to C-suite executives who are making technology purchasing decisions.

LinkedIn Networking: Build Professional Relationships

With the modern professional's virtual habitat being LinkedIn, Construction Tech Continuum enhances your ability to network effectively on this platform. By matching our rich data with LinkedIn profiles, your marketing and sales teams can target potential clients with precision, nurturing professional relationships through personalized InMail messages, strategic connection requests, and engaging content tailored to resonate with industry-specific needs and trends.

Use Cases: Building Bridges Across Verticals

The versatility of Construction Tech Continuum's data ensures its utility across a spectrum of industries tied to construction:

Building Construction: Craft messaging for companies spearheading projects that incorporate cutting-edge construction technologies or materials.

Real Estate: Zero in on real estate developers eager to implement tech-driven efficiencies in their construction ventures.

Telecommunications: Target the providers laying the digital groundwork for contemporary construction projects.

Renewables & Environment: Connect with eco-conscious professionals seeking sustainable construction solutions.

Wholesale Building Materials: Reach wholesalers searching for innovative products to offer in a competitive market.

Mechanical or Industrial Engineering: Identify engineers integrating advanced systems into the built environment.

Facilities Services: Engage managers tasked with optimizing building operations through tech.

Computers and Electronics Manufacturing: Network with manufacturers producing essential electronics and computer systems for modern buildings.

Oil and Gas: Tap into the sector's need ...

This dataset provides information on 1,691 in Louisiana, United States as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

The Department of Buildings (DOB) issues permits for construction and demolition activities in the City of New York. The construction industry must submit an application to DOB with details of the construction job they would like to complete. The primary types of application, aka job type, are: New Building, Demolition, and Alterations Type 1, 2, and 3. Each job type can have multiple work types, such as general construction, boiler, elevator, and plumbing. Each work type will receive a separate permit. (See the DOB Job Application Filings dataset for information about each job application.) Each row/record in this dataset represents the life cycle of one permit for one work type. The dataset is updated daily with new records, and each existing record will be updated as the permit application moves through the approval process to reflect the latest status of the application.

The Commercial Building Inventories provide modeled data on commercial building type, vintage, and area for each U.S. city and county. Please note this data is modeled and more precise data may be available through county assessors or other sources. Commercial building stock data is estimated using CoStar Realty Information, Inc. building stock data. This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and builds on Cities-LEAP energy modeling, available at the "EERE Cities-LEAP Page" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.

The U.S. AI Training Dataset Market size was valued at USD 590.4 million in 2023 and is projected to reach USD 1880.70 million by 2032, exhibiting a CAGR of 18.0 % during the forecasts period. The U. S. AI training dataset market deals with the generation, selection, and organization of datasets used in training artificial intelligence. These datasets contain the requisite information that the machine learning algorithms need to infer and learn from. Conducts include the advancement and improvement of AI solutions in different fields of business like transport, medical analysis, computing language, and money related measurements. The applications include training the models for activities such as image classification, predictive modeling, and natural language interface. Other emerging trends are the change in direction of more and better-quality, various and annotated data for the improvement of model efficiency, synthetic data generation for data shortage, and data confidentiality and ethical issues in dataset management. Furthermore, due to arising technologies in artificial intelligence and machine learning, there is a noticeable development in building and using the datasets. Recent developments include: In February 2024, Google struck a deal worth USD 60 million per year with Reddit that will give the former real-time access to the latter’s data and use Google AI to enhance Reddit’s search capabilities. , In February 2024, Microsoft announced around USD 2.1 billion investment in Mistral AI to expedite the growth and deployment of large language models. The U.S. giant is expected to underpin Mistral AI with Azure AI supercomputing infrastructure to provide top-notch scale and performance for AI training and inference workloads. .

Housing Starts in the United States decreased to 1256 Thousand units in May from 1392 Thousand units in April of 2025. This dataset provides the latest reported value for - United States Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.