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...

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.

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 urbanization, infrastructure development, and increasing construction activities in countries like China and India. Latin America and the Middle East & Africa are also emerging as promising markets, supported by government initiatives to modernize infrastructure and enhance construction sector productivity. Overall, the market exhibits a dynamic landscape with significant opportunities for innovation and expansion across all major regions.

Component Analysis

The Component segment of the Construction Bidding Cost Database mar

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The BDNB (National Building Database) is a mapping of the existing building stock. Structured in the ‘building’ mesh, it contains an identity card for each of the 32 million buildings, residential or tertiary. It is built by the geospatial crossing of some 20 databases from public bodies.

Updates:

• millesime 2023-11.a (format v0.7.7) (28 May 2024): heating/cooling networks + integration of SIRENE data + GNI + land files 2022 / maj ban/ maj BDTOPO
• millesime 2023-01.a (format v0.7.5) (17 January 2024): New geospatial crossing + MAJ DPE/RPLS/RNC
• millesime 2022-10-d (format v0.7.4) (03 July 2023): integration of multi-millennial dle, dvf_open, maj dpe
• millesime 2022-10-c (format v0.7.3) (22 March 2023): addition of new dpe + various fix
• v0.7.2_fix_extract_corse (20 January 2023): addition of the perimeter of Corsica that had not passed in the publication of v0.7.2
• v0.7.2 (22 November 2022): new relational model, more complete, better geospatial cross-breeding between the different databases, taking into account the first remarks that have been reported to us
• v0.6.2 (27 April 2022): republication of v06 data with release status patches. Display of ANAH RNC (National Register of Condominiums) data.

--> View detailed changelog

The BDNB is intended to be shared and to constitute an open reference framework, the basis for the development of multiple services carried out by public and private actors, but also a place for capitalizing knowledge on existing buildings.

The CSTB encourages the multiplication and diversity of BDNB use cases. It establishes the conditions for openness and interoperability, and is at the disposal of project promoters to support them in the implementation of their application. Possible areas of application include: thermal renovation of buildings, support for national and territorial public policies, the circular economy, risk management, etc.

The BDNB is paving the way for a unified "Geo-common" repository in co-production with all institutional partners and contributors, and is providing technological support for the project of a national repository for buildings GNI led by the Startup d'Etat GNI (ex Bat-Id)

Its construction has been initialised for the purposes of the [GO-Renovation] project (https://bdnb.io/services/gorenove). Go-Rénove is one of the 9 projects of the [PROFEEL] programme (https://programmeprofeel.fr/projets/go-renove/), carried out by professional building organisations and financed by the Energy Saving Certificates, in support of the energy renovation of existing buildings. The Go-renovation decision support services are the first operational application of the BDNB, on the theme of the renovation of the existing housing stock.

More information on https://bdnb.io/

For any topic of discussion, request for support, request for partnership or contact commercial, please contact contact with us.

For GPKG format we recommend using an up-to-date version of QGIS (3.36)

This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.Recycled aggregate is a cheap and readily available product made from recycled construction materials. It is strong and durable with excellent drainage properties. It is typically comprised of concrete, stone, brick, ceramics, mortar and other common construction materials. It is produced using the waste materials collected from the demolition of building and infrastructure projects. Impurities such as metal, wood and timber are removed via magnets and other sorting techniques. The remaining materials are sorted by size, and crushed into a coarse aggregate.Recycled aggregate is becoming increasingly popular as a replacement for natural aggregates. It is commonly used for: bulk fill, road construction, gravel, and as an aggregate in concrete. When used in concrete, it is typically combined with fly ash or other additives to ensure improved strength and reliability.

This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.Water is used in significant quantities for construction activities, site preparation and as a material additive/solvent. It is also essential for all known forms of life on earth. Although water covers approximately 70% of the earth's surface, only a small proportion is readily available for use in construction projects. With a growing population, and increasing demand for housing, construction and infrastructure projects, water is becoming an increasingly scarce resource.

The NYC Department of City Planning’s (DCP) Housing Database contains all NYC Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. It includes the three primary construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. Records in the Housing Database Project-Level Files are geocoded to the greatest level of precision possible, subject to numerous quality assurance and control checks, recoded for usability, and joined to other housing data sources relevant to city planners and analysts. Data are updated semiannually, at the end of the second and fourth quarters of each year. Please see DCP’s annual Housing Production Snapshot summarizing findings from the 21Q4 data release here. Additional Housing and Economic analyses are also available. The NYC Department of City Planning’s (DCP) Housing Database Unit Change Summary Files provide the net change in Class A housing units since 2010, and the count of units pending completion for commonly used political and statistical boundaries (Census Block, Census Tract, City Council district, Community District, Community District Tabulation Area (CDTA), Neighborhood Tabulation Area (NTA). These tables are aggregated from the DCP Housing Database Project-Level Files, which is derived from Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. Net housing unit change is calculated as the sum of all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions. These files can be used to determine the change in legal housing units across time and space.

This collection automatically captures metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Shares of the value of construction work performed and contracts in construction (NACE Rev. 2) by type of buildings, Slovenia, monthly, 1998M01-2020M12”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

In Rhineland-Palatinate there are always mass movements. The Landslide Database Rhineland-Palatinate is a joint project of the State Office for Geology and Mining Rhineland-Palatinate (LGB) and the Forschungsstelle Rutschungen e.V. at Johannes Gutenberg University Mainz (FSR). Originally, the database was created at the then State Geological Office and continued at the Research Centre for Landslides. Since 2009, the two cooperation partners have been working together on a complete reprocessing. The database includes landslides, rockfalls, rockfalls, earthfalls and daybreaks in Rhineland-Palatinate. In total, there were 2,291 claims (as at: 01.06.2012), which were mainly recorded and archived by the two project partners LGB and FSR in the field. Further data come from various diploma theses and dissertations, which were supervised by the aforementioned institutions. The oldest documented case of damage occurred in 1655. Most events cover the period from 1950 to the present day. The MS Access database based on Oracle, which is specially programmed in the LGB, contains 33 different data fields, which include information on the location, geology, causes and safeguards of the mass movement. The data sets are mainly recorded by means of specially created lists of terms in order to ensure uniform documentation. The online presentation, which was created on the basis of the landslide database, shows in which areas of Rhineland-Palatinate mass movements have occurred so far. It is aimed at municipalities, engineering offices, planners, appraisers, architects and interested citizens who use this information, among other things, for the planning and preliminary exploration of construction projects. The aim is to provide clues about the range of mass movements. Possible problematic areas can thus be identified in good time, examined accordingly and an adapted approach taken. The Mapserver application represents systematically arranged tiles with an extension of 1 x 1 km, the color variation of which is due to the number of mass movements within the tile. It is expressly pointed out that for data protection reasons, a pinpoint, parcel-sharp location representation of the mass movements is dispensed with. A concrete reference to the location and the associated inference to individual plots of land are thus excluded. Furthermore, it is pointed out that the representation of a mass movement within a tile does not mean that this danger is present throughout the entire tile. Likewise, the lack of information on mass movements does not mean that they can be completely excluded there. In addition, the classification says nothing about the current activity. Planned construction projects within a tile affected by mass movements do not necessarily have to pose problems, so it is also pointed out in this context that the hazards shown here do not replace spot and object-related investigations or on-site assessments. A rockfall is a fall event in which the ground or rock material falls largely free-falling, jumping or rolling. Demolition is often carried out along divisions. A rockfall includes cubatures up to 10 m3 in volume.

South Africa Building Work Completed: Area: Free State: Additions and Alterations: Others data was reported at 69.000 sq m in May 2018. This records a decrease from the previous number of 5,523.000 sq m for Apr 2018. South Africa Building Work Completed: Area: Free State: Additions and Alterations: Others data is updated monthly, averaging 1,512.000 sq m from Jan 1993 (Median) to May 2018, with 305 observations. The data reached an all-time high of 23,824.000 sq m in Nov 2010 and a record low of 0.000 sq m in Dec 2017. South Africa Building Work Completed: Area: Free State: Additions and Alterations: Others data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EA014: Building Work Completed: by Province.

South Africa Building Work Completed: Area: Free State: Residential: Others data was reported at 0.000 sq m in May 2018. This stayed constant from the previous number of 0.000 sq m for Apr 2018. South Africa Building Work Completed: Area: Free State: Residential: Others data is updated monthly, averaging 0.000 sq m from Jan 1993 (Median) to May 2018, with 305 observations. The data reached an all-time high of 19,552.000 sq m in May 2015 and a record low of 0.000 sq m in May 2018. South Africa Building Work Completed: Area: Free State: Residential: Others data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EA014: Building Work Completed: by Province.

South Africa Building Work Completed: Value: Free State: Non Residential: Others data was reported at 0.000 ZAR th in May 2018. This stayed constant from the previous number of 0.000 ZAR th for Apr 2018. South Africa Building Work Completed: Value: Free State: Non Residential: Others data is updated monthly, averaging 140.000 ZAR th from Jan 1993 (Median) to May 2018, with 305 observations. The data reached an all-time high of 47,600.000 ZAR th in Aug 2013 and a record low of 0.000 ZAR th in May 2018. South Africa Building Work Completed: Value: Free State: Non Residential: Others data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EA014: Building Work Completed: by Province.

South Africa Building Work Completed: Area: Free State: Non Residential: Office and Banking data was reported at 0.000 sq m in May 2018. This stayed constant from the previous number of 0.000 sq m for Apr 2018. South Africa Building Work Completed: Area: Free State: Non Residential: Office and Banking data is updated monthly, averaging 0.000 sq m from Jan 1993 (Median) to May 2018, with 305 observations. The data reached an all-time high of 18,841.000 sq m in Sep 1993 and a record low of 0.000 sq m in May 2018. South Africa Building Work Completed: Area: Free State: Non Residential: Office and Banking data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EA014: Building Work Completed: by Province.

This dataset features Australian hydrogen projects that are active in the development, construction, or operating phase, and meet renewable hydrogen or carbon capture and storage (CCS) hydrogen production methods outlined in Australia's National Hydrogen Strategy. This dataset aims is to provide a detailed snapshot of hydrogen activity across Australia. It includes location data, proponent details, and descriptions for all hydrogen projects listed. Additional data is included, such as the energy source for hydrogen production, the method of hydrogen production, and the amount of hydrogen to be produced per year. This dataset is the basis of the point-location map of active Australian hydrogen projects featured on the Australia Hydrogen Opportunities Tool (AusH2.ga.gov.au). AusH2 aims to attract investment in Australia’s hydrogen industry, providing high quality, free, online geospatial analysis tools and data for mapping and understanding Australia’s hydrogen potential. It hosts key national-scale datasets, such as locations of wind and solar resources and distribution of infrastructure, as well as the Hydrogen Economic Fairways Tool (HEFT) that maps the economic viability of hydrogen production in Australia. The user can examine both hydrogen production by electrolysis using renewable energy sources and fossil fuel produced hydrogen coupled with CCS. AusH2 was produced by Geoscience Australia for the Council of Australian Governments (COAG) Energy Council’s Hydrogen Working Group in 2019. Updates to this dataset since September 2020 are coordinated with research.csiro.au/HyResource

This collection automatically includes metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL URA OF SLOVENIA REPUBLIC OF SLOVENIA and correspond to the source database entitled “Value of construction work carried out by investor, areas of activity [NACE Rev. 2) of the contractor and types of buildings [old methodology], Slovenia, 1998-2011”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

Provides description, categorization, cost, and status of permitted work on properties. Includes history of permitted work.

This collection automatically includes metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL URA of the REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Value of construction work performed (in EUR) by investor and SKD activity (NACE Rev. 2), Slovenia, 2019”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

South Africa Building Work Completed: Value: Free State: Additions and Alterations: Dwellings data was reported at 1,401.000 ZAR th in May 2018. This records a decrease from the previous number of 6,229.000 ZAR th for Apr 2018. South Africa Building Work Completed: Value: Free State: Additions and Alterations: Dwellings data is updated monthly, averaging 6,480.000 ZAR th from Jan 1993 (Median) to May 2018, with 305 observations. The data reached an all-time high of 46,345.000 ZAR th in Jul 2017 and a record low of 888.000 ZAR th in Dec 2013. South Africa Building Work Completed: Value: Free State: Additions and Alterations: Dwellings data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EA014: Building Work Completed: by Province.

South Africa Building Work Completed: Value: Free State: Residential: Dwellings: < 80 Sq Metres data was reported at 6,147.000 ZAR th in May 2018. This records an increase from the previous number of 1,123.000 ZAR th for Apr 2018. South Africa Building Work Completed: Value: Free State: Residential: Dwellings: < 80 Sq Metres data is updated monthly, averaging 3,200.000 ZAR th from Jan 1993 (Median) to May 2018, with 305 observations. The data reached an all-time high of 45,953.000 ZAR th in Mar 2011 and a record low of 0.000 ZAR th in May 2017. South Africa Building Work Completed: Value: Free State: Residential: Dwellings: < 80 Sq Metres data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.EA014: Building Work Completed: by Province.

The Korea Foundation is opening the Korea Foundation_Standard Korean-English Names of Overseas Universities data on the public data portal to support consistent notation of overseas university names in international exchange projects and various official documents and to prevent confusion. This data contains information on the standard Korean and English names of major overseas universities selected according to the

A database of building heights for the main conurbations of the UK, acquired by the Landmap project from The GeoInformation Group's Cities Revealed project. The height information is derived principally from the Cities Revealed LiDAR or Modern aerial imagery (see linked datasets). Each building block has three values: base of building above sea level, top of the building above sea level and height of building above local ground level. Accurate to +/- 0.5m with 95% confidence limits.

The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was buildings data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.

When using these data please also add the following copyright statement: Cities Revealed © The GeoInformation Group yyyy