This dataset provides values for INDUSTRY INDEX CONSTRUCTION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Success.ai’s Construction Data for Building Materials & Construction Industry Leaders in Europe provides a reliable dataset tailored for businesses seeking to connect with leaders in the European construction and building materials sectors. Covering contractors, suppliers, architects, and project managers, this dataset offers verified profiles, firmographic insights, and decision-maker contacts.

With access to over 700 million verified global profiles and data from 70 million businesses, Success.ai ensures that your outreach, market analysis, and strategic partnerships are powered by accurate, continuously updated, and AI-validated information. Backed by our Best Price Guarantee, this solution empowers you to engage effectively with the construction industry across Europe.

Why Choose Success.ai’s Construction Data?

1. Verified Contact Data for Industry Leaders

   • Access verified work emails, phone numbers, and LinkedIn profiles of construction executives, project managers, and building material suppliers.
   • AI-driven validation ensures 99% accuracy, optimizing outreach and minimizing inefficiencies in communication.

2. Comprehensive Coverage Across Europe’s Construction Sector

   • Includes profiles from major construction hubs such as Germany, France, the UK, Italy, and Spain, covering a diverse range of projects and organizations.
   • Gain insights into regional construction trends, material sourcing strategies, and large-scale project developments.

3. Continuously Updated Datasets

   • Real-time updates reflect changes in leadership, market expansions, material innovations, and project announcements.
   • Stay ahead of market trends to align your strategies with evolving industry needs.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible use of data and compliance with legal standards.

Data Highlights:

• 700M+ Verified Global Profiles: Engage with decision-makers, contractors, architects, and engineers in Europe’s construction sector.
• 70M Business Profiles: Access firmographic data, including company sizes, revenue ranges, and geographic locations.
• Decision-Maker Contacts: Connect directly with CEOs, procurement officers, and project leads driving construction projects and material procurement.
• Industry Insights: Gain visibility into supply chain networks, sustainable building initiatives, and innovative construction techniques.

Key Features of the Dataset:

1. Leadership Profiles in Construction

   • Identify and connect with leaders responsible for major construction projects, material sourcing, and architectural planning.
   • Target professionals making decisions on vendor selection, project timelines, and compliance.

2. Advanced Filters for Precision Campaigns

   • Filter companies by industry segment (commercial construction, residential, infrastructure), geographic location, or revenue size.
   • Tailor campaigns to align with regional construction challenges, such as sustainability, cost management, or urbanization.

3. Firmographic Insights and Project Data

   • Access data on company structures, project scopes, and market positioning to refine your targeting strategy.
   • Use these insights to identify high-value prospects and uncover new business opportunities.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes with construction stakeholders.

Strategic Use Cases:

1. Sales and Vendor Development

   • Offer construction materials, tools, or technology solutions to procurement teams and project managers in the construction industry.
   • Build relationships with vendors and contractors seeking innovative solutions to streamline operations and reduce costs.

2. Market Research and Competitive Analysis

   • Analyze trends in material usage, construction technologies, and sustainable practices to guide product development and marketing strategies.
   • Benchmark against competitors to identify market gaps, emerging needs, and high-growth opportunities.

3. Partnership Development and Supply Chain Optimization

   • Engage with companies seeking partnerships for large-scale projects, material sourcing, or technology integration.
   • Foster alliances that drive efficiency, quality, and innovation in construction projects.

4. Recruitment and Workforce Solutions

   • Target HR professionals and hiring managers recruiting skilled workers, architects, or engineers for ongoing and upcoming projects.
   • Provide staffing services, training platforms, or workforce optimization tools tailored to the construction sector.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality construction data at competitive prices, ensuring strong ROI for your marketing, sales, and bu...

Nahb Housing Market Index in the United States decreased to 32 points in August from 33 points in July of 2025. This dataset provides the latest reported value for - United States Nahb Housing Market Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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

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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...

Industry Index Construction in Australia increased to -1.30 points in July from -14.90 points in June of 2025. This dataset includes a chart with historical data for Australia Ai Group Industry Index - Construction.

Quarterly non-seasonally adjusted type of work and regional data at current prices, Great Britain.

The index relates to costs ruling on the first day of each month. NATIONAL HOUSE CONSTRUCTION COST INDEX; Up until October 2006 it was known as the National House Building Index Oct 2000 data; The index since October, 2000, includes the first phase of an agreement following a review of rates of pay and grading structures for the Construction Industry and the first phase increase under the PPF. April, May and June 2001; Figures revised in July 2001due to 2% PPF Revised Terms. March 2002; The drop in the March 2002 figure is due to a decrease in the rate of PRSI from 12% to 10¾% with effect from 1 March 2002. The index from April 2002 excludes the one-off lump sum payment equal to 1% of basic pay on 1 April 2002 under the PPF. April, May, June 2003; Figures revised in August'03 due to the backdated increase of 3% from 1April 2003 under the National Partnership Agreement 'Sustaining Progress'. The increases in April and October 2006 index are due to Social Partnership Agreement "Towards 2016". March 2011; The drop in the March 2011 figure is due to a 7.5% decrease in labour costs. Methodology in producing the Index Prior to October 2006: The index relates solely to labour and material costs which should normally not exceed 65% of the total price of a house. It does not include items such as overheads, profit, interest charges, land development etc. The House Building Cost Index monitors labour costs in the construction industry and the cost of building materials. It does not include items such as overheads, profit, interest charges or land development. The labour costs include insurance cover and the building material costs include V.A.T. Coverage: The type of construction covered is a typical 3 bed-roomed, 2 level local authority house and the index is applied on a national basis. Data Collection: The labour costs are based on agreed labour rates, allowances etc. The building material prices are collected at the beginning of each month from the same suppliers for the same representative basket. Calculation: Labour and material costs for the construction of a typical 3 bed-roomed house are weighted together to produce the index. Post October 2006: The name change from the House Building Cost Index to the House Construction Cost Index was introduced in October 2006 when the method of assessing the materials sub-index was changed from pricing a basket of materials (representative of a typical 2 storey 3 bedroomed local authority house) to the CSO Table 3 Wholesale Price Index. The new Index does maintains continuity with the old HBCI. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Oct 2008 data; Decrease due to a fall in the Oct Wholesale Price Index.

This dataset is about companies. It has 15,966 rows and is filtered where the industry is Construction Materials. It features 6 columns including city, country, revenues, and industry.

Other-Long-Term-Liabilities Time Series for Topbuild Corp. TopBuild Corp., together with its subsidiaries, engages in the installation and distribution of insulation and other building material products to the construction industry. The company operates in two segments, Installation and Specialty Distribution. It provides insulation products and accessories, glass and windows, rain gutters, garage doors, fireplaces, roofing materials, closet shelving, and other products. The company also offers insulation installation services for fiberglass batts and rolls, blown-in loose fill fiberglass, polyurethane spray foam, and blown-in loose fill cellulose applications. In addition, it distributes building and mechanical insulation, insulation accessories, and other building product materials for the residential, commercial, and industrial end markets. The company serves single-family homebuilders, single-family custom builders, multi-family builders, commercial general contractors, remodelers, and individual homeowners, as well as insulation contractors, gutter contractors, weatherization contractors, other contractors, dealers, metal building erectors, and modular home builders. It operates installation branches and distribution centers in the United States and Canada. The company was formerly known as Masco SpinCo Corp. and changed its name to TopBuild Corp. in March 2015. TopBuild Corp. was incorporated in 2015 and is headquartered in Daytona Beach, Florida.

This comprehensive dataset offers insights into the 2025 construction industry, highlighting topics like global market size trends, employment growth in construction, technological innovations in building, sustainable development practices, and future outlook of the construction sector.

Construction output is a monthly estimate of the output of the construction industry in both the private and public sectors. The estimates are a key component of Gross Domestic Product. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: Output in the Construction Industry

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.

Quick-Ratio Time Series for AMREP Corporation. AMREP Corporation, through its subsidiaries, engages in the real estate business in the United States. It operates through two segments, Land Development and Homebuilding. The company markets and sells developed and undeveloped lots to homebuilders, commercial, and industrial property developers through brokers. It also offers various services comprising land and site planning, obtaining of governmental and environmental approvals, installation of utilities and storm drains, ensuring availability of water services, building or improving of roads for land development services, and construction of community amenities; and landscaping services to homebuilders. In addition, the company operates as a homebuilder; and sells single-family detached homes and attached homes. AMREP Corporation was founded in 1961 and is headquartered in Havertown, Pennsylvania.

Construction Bidding Cost Database Market Outlook

According to our latest research, the global Construction Bidding Cost Database market size reached USD 1.98 billion in 2024. The market is exhibiting robust momentum, propelled by the increasing digitization of construction processes and a heightened demand for cost transparency and efficiency. With a projected compound annual growth rate (CAGR) of 11.7% from 2025 to 2033, the market is forecasted to attain a value of USD 5.51 billion by 2033. This impressive growth trajectory is primarily driven by the widespread adoption of advanced software solutions in construction project management, a growing emphasis on minimizing bid errors, and the rising need for real-time data analytics to support accurate project estimation and cost control.

One of the primary growth factors for the Construction Bidding Cost Database market is the increasing complexity of construction projects globally. As projects become larger and more intricate, stakeholders demand precise cost estimation and bidding processes to ensure profitability and competitiveness. The integration of artificial intelligence and machine learning within construction bidding platforms has further enhanced accuracy and streamlined workflows. These technologies enable predictive analytics, automate repetitive tasks, and reduce human errors, thereby improving overall project outcomes. The need for robust cost databases is underscored by the rising frequency of design changes and scope modifications, which necessitate agile and responsive cost management solutions throughout the project lifecycle.

Another significant driver is the regulatory environment and the growing focus on compliance and risk management in construction. Governments and industry bodies are increasingly mandating transparent bidding processes and accurate cost reporting to mitigate risks of fraud, misallocation of funds, and project delays. The adoption of Construction Bidding Cost Database solutions enables stakeholders to maintain comprehensive audit trails, adhere to regulatory standards, and facilitate more effective communication among project participants. This is particularly evident in public infrastructure projects, where transparency and accountability are paramount. As a result, the market is witnessing accelerated adoption across both public and private sectors, further fueling its expansion.

The proliferation of cloud-based solutions is another key factor contributing to market growth. Cloud deployment offers unparalleled accessibility, scalability, and integration capabilities, allowing construction firms to manage bids and cost data across multiple locations and projects seamlessly. This has proven invaluable amidst the ongoing digital transformation of the construction industry, as organizations seek to leverage real-time data sharing and collaboration tools. Additionally, the shift towards integrated project delivery models and the use of Building Information Modeling (BIM) are reinforcing the need for comprehensive cost databases, enabling more accurate forecasting, budgeting, and resource allocation.

In the realm of construction project management, Construction Takeoff Software plays a pivotal role by automating the quantification process of materials and labor needed for a project. This software significantly reduces the time and effort required for manual takeoffs, thereby enhancing accuracy and efficiency. By integrating with construction bidding cost databases, takeoff software ensures that estimators have access to real-time data, facilitating more precise cost estimations and competitive bidding. The ability to quickly adjust to design changes and scope modifications is another advantage, as it allows construction firms to remain agile and responsive to client needs. As the industry continues to embrace digital transformation, the adoption of construction takeoff software is expected to rise, further driving the demand for comprehensive cost database solutions.

From a regional perspective, North America currently dominates the Construction Bidding Cost Database market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The United States leads in terms of technology adoption and investment in digital construction solutions, while the Asia Pacific region is experiencing the fastest growth, driven by rapid urbaniza

This dataset is about books. It has 13 rows and is filtered where the book series is Reports / Construction Industry Research and Information Association. It features 9 columns including author, publication date, language, and book publisher.

Construction output work types and their percentage of all construction work in Great Britain. Contains monthly, quarterly and annual data.

Enterprise-Value-To-Ebitda-Ratio Time Series for Topbuild Corp. TopBuild Corp., together with its subsidiaries, engages in the installation and distribution of insulation and other building material products to the construction industry. The company operates in two segments, Installation and Specialty Distribution. It provides insulation products and accessories, glass and windows, rain gutters, garage doors, fireplaces, roofing materials, closet shelving, and other products. The company also offers insulation installation services for fiberglass batts and rolls, blown-in loose fill fiberglass, polyurethane spray foam, and blown-in loose fill cellulose applications. In addition, it distributes building and mechanical insulation, insulation accessories, and other building product materials for the residential, commercial, and industrial end markets. The company serves single-family homebuilders, single-family custom builders, multi-family builders, commercial general contractors, remodelers, and individual homeowners, as well as insulation contractors, gutter contractors, weatherization contractors, other contractors, dealers, metal building erectors, and modular home builders. It operates installation branches and distribution centers in the United States and Canada. The company was formerly known as Masco SpinCo Corp. and changed its name to TopBuild Corp. in March 2015. TopBuild Corp. was incorporated in 2015 and is headquartered in Daytona Beach, Florida.

This dataset is about books. It has 5 rows and is filtered where the book subjects is Construction industry-Health aspects-Great Britain-Outlines, syllabi, etc. It features 9 columns including author, publication date, language, and book publisher.

This table shows relevant data for the economic sector 'construction industry', e.g. the number of persons employed, costs and revenues, turnover and other financial results. The figures can be divided by a number of branches according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 1993 (SIC'93). The survey questionnaire was changed slightly in 2007. Up to and including 2006, wage subsidies were counted as (other) business returns. From 2007 onwards these subsidies are deducted from business costs. Because of these changes, results for 2007 are not fully comparable with results for 2006. The effect of these changes on business returns and business costs are small for most of the branches. Data available from 2006 - 2008. Status of the figures: All data are definite. Changes as of 1 September 2011: This table has been stopped. Two important points in the processing of the data on 2009 have changed : - a new version of the Standard Industrial Classification of all Economic Activities has been implemented (SIC 2008); - the statistical unit has been changed. Due to these changes, the figures are no longer comparable to those of the previous years. Therefore new table has been started from 2009 onwards (see also heading 3).