100+ datasets found
  1. Most effective link building strategy worldwide 2023

    • statista.com
    Updated May 23, 2024
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    Statista (2024). Most effective link building strategy worldwide 2023 [Dataset]. https://www.statista.com/statistics/1468522/eeo-link-building-strategies/
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    Dataset updated
    May 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    During a 2023 survey conducted among search engine optimization (SEO) professionals worldwide, approximately 17.2 percent of respondents identified social media as the most effective link building strategy, utilizing it for promotion and encouraging linking. Alternative media strategies, including infographics, videos, and tools, ranked second, cited by 15.7 percent of respondents.

  2. L

    Link Building Statistics

    • smarty.marketing
    Updated Jan 18, 2024
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    Smarty Marketing (2024). Link Building Statistics [Dataset]. https://www.smarty.marketing/the-state-of-link-building-industry-2023/
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    Dataset updated
    Jan 18, 2024
    Dataset authored and provided by
    Smarty Marketing
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Survey results collected from 300+ US-based marketing agencies on what they do to acquire backlinks for their clients and what kind of results they observe from those efforts

  3. s

    Most Popular Link Building Tools And Metrics

    • searchlogistics.com
    Updated Mar 28, 2025
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    (2025). Most Popular Link Building Tools And Metrics [Dataset]. https://www.searchlogistics.com/learn/statistics/link-building-statistics/
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    Dataset updated
    Mar 28, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These are the most popular link building and tracking tools ranked by SEOs today.

  4. s

    Key Link Building Statistics

    • searchlogistics.com
    Updated Mar 28, 2025
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    (2025). Key Link Building Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/link-building-statistics/
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    Dataset updated
    Mar 28, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These are the key link building statistics that you need to know.

  5. C

    Link Building Statistics By Tactics, Tools, Automation, Effectiveness,...

    • coolest-gadgets.com
    Updated Apr 11, 2025
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    Coolest Gadgets (2025). Link Building Statistics By Tactics, Tools, Automation, Effectiveness, Impact, Opportunities And Trends [Dataset]. https://www.coolest-gadgets.com/link-building-statistics/
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    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    Coolest Gadgets
    License

    https://www.coolest-gadgets.com/privacy-policyhttps://www.coolest-gadgets.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Link Building Statistics: In today’s fast-changing digital world, keeping up with the newest link-building trends is very important to staying ahead of the competition and maximizing your SEO efforts. A solid backlink plan is key to SEO success, whether you use professional link-building services or manage it yourself.

    Recent stats reveal that 82% of SEO professionals depend on backlink checker tools like Ahrefs and Semrush. This shows how valuable it is to understand your competitors’ link strategies. This article will review the latest Link link-building statistics and trends for 2025.

  6. s

    Most Used Link Building Strategies

    • searchlogistics.com
    Updated Mar 28, 2025
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    (2025). Most Used Link Building Strategies [Dataset]. https://www.searchlogistics.com/learn/statistics/link-building-statistics/
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    Dataset updated
    Mar 28, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    If you know anything about link building, you’ll know that content is still the best way to attract high-quality backlinks. Long-form content gets an average of 77.2% more links than shorter articles.

  7. C

    Connected Building Solution Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 17, 2025
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    Data Insights Market (2025). Connected Building Solution Report [Dataset]. https://www.datainsightsmarket.com/reports/connected-building-solution-1814481
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global connected building solutions market size was valued at USD 86,940 million in 2023 and is projected to expand at a compound annual growth rate (CAGR) of 9.4% from 2023 to 2033. Increasing demand for energy-efficient and sustainable buildings, advancements in IoT and cloud technologies, and government initiatives to promote smart city development are driving the market growth. The market is segmented by application into residential, commercial, government, and others. The commercial segment held the largest market share in 2023 due to the rising construction of smart offices and commercial buildings. The residential segment is expected to witness significant growth over the forecast period, driven by growing consumer demand for smart home technologies. By type, the market is divided into software and hardware. The software segment accounted for a larger market share in 2023 and is projected to maintain its dominance throughout the forecast period.

  8. Link Building Tool Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Link Building Tool Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/link-building-tool-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Link Building Tool Market Outlook




    The global link building tool market size was valued at approximately USD 500 million in 2023 and is projected to reach around USD 1.5 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.5% during the forecast period. The market growth is primarily driven by the increasing importance of search engine optimization (SEO) in enhancing online visibility and driving web traffic for businesses across various industries.




    One of the primary growth factors for the link building tool market is the escalating demand for digital marketing solutions. With more businesses shifting their operations online, the need for robust SEO strategies has become paramount. Link building tools help in acquiring high-quality backlinks, which are crucial for improving search engine rankings. This demand is further amplified by the competitive nature of the online marketplace, where companies strive to achieve higher visibility and attract more potential customers. Consequently, the adoption of link building tools is expected to surge as businesses aim to enhance their online presence and outpace their competitors.




    Another significant growth driver is the technological advancements in SEO tools. Innovations such as artificial intelligence (AI) and machine learning (ML) are being integrated into link building tools to provide more accurate and efficient solutions. These technologies enable the tools to analyze vast amounts of data, identify valuable link opportunities, and automate various processes, thereby saving time and resources for users. The continuous development of more sophisticated and user-friendly tools is likely to attract a broader user base, including SEO agencies, enterprises, and freelancers, further propelling market growth.




    The increasing awareness about the benefits of link building is also contributing to the market expansion. As businesses recognize the impact of high-quality backlinks on their website's authority and search engine ranking, they are more likely to invest in link building tools. Educational initiatives and industry conferences focusing on SEO strategies and tools are playing a crucial role in spreading this awareness. Additionally, the rise of e-commerce and the need for robust digital marketing strategies are encouraging businesses to adopt comprehensive link building practices, thereby driving the demand for specialized tools.




    The regional outlook for the link building tool market indicates significant growth potential across various geographies. North America holds a substantial market share due to the presence of numerous SEO service providers and technologically advanced infrastructure. Europe is also witnessing considerable growth, driven by the increasing adoption of digital marketing solutions among small and medium enterprises (SMEs). The Asia Pacific region is expected to experience the highest growth rate, owing to the rapid digitalization and rising number of online businesses in countries like China and India. Latin America and the Middle East & Africa are emerging markets with growing awareness and adoption of SEO practices, presenting lucrative opportunities for market players.



    Keyword Research Tools are indispensable for any SEO strategy, as they provide insights into the search terms that potential customers are using. These tools help businesses identify high-value keywords that can drive targeted traffic to their websites. By understanding which keywords are most relevant to their audience, companies can create content that resonates with users and attracts valuable backlinks. This not only improves search engine rankings but also enhances the overall effectiveness of digital marketing campaigns. As the digital landscape continues to evolve, the demand for sophisticated keyword research tools is expected to grow, further driving the expansion of this segment within the link building tool market.



    Type Analysis




    The link building tool market can be segmented by type into backlink analysis, keyword research, competitor analysis, rank tracking, and others. Each of these segments offers unique functionalities that cater to specific aspects of the link building process. Backlink analysis tools are essential for evaluating the quality and quantity of backlinks pointing to a website. These tools provide insights into which backlinks are

  9. San Francisco, California - Aerial imagery object identification dataset for...

    • figshare.com
    tiff
    Updated Jun 1, 2023
    + more versions
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    Kyle Bradbury; Benjamin Brigman; Leslie Collins; Timothy Johnson; Sebastian Lin; Richard Newell; Sophia Park; Sunith Suresh; Hoel Wiesner; Yue Xi (2023). San Francisco, California - Aerial imagery object identification dataset for building and road detection, and building height estimation [Dataset]. http://doi.org/10.6084/m9.figshare.3504350.v1
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    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Kyle Bradbury; Benjamin Brigman; Leslie Collins; Timothy Johnson; Sebastian Lin; Richard Newell; Sophia Park; Sunith Suresh; Hoel Wiesner; Yue Xi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    San Francisco, California
    Description

    This dataset is part of the larger data collection, “Aerial imagery object identification dataset for building and road detection, and building height estimation”, linked to in the references below and can be accessed here: https://dx.doi.org/10.6084/m9.figshare.c.3290519. For a full description of the data, please see the metadata: https://dx.doi.org/10.6084/m9.figshare.3504413.

    Imagery data from the United States Geological Survey (USGS); building and road shapefiles are from OpenStreetMaps (OSM) (these OSM data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/); and the Lidar data are from U.S. National Oceanic and Atmospheric Administration (NOAA), the Texas Natural Resources Information System (TNRIS).

  10. C

    Connected Building Solution Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 2, 2025
    + more versions
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    Market Report Analytics (2025). Connected Building Solution Report [Dataset]. https://www.marketreportanalytics.com/reports/connected-building-solution-52649
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Connected Building Solutions market, valued at $86.94 billion in 2025, is poised for robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 9.4% from 2025 to 2033. This expansion is fueled by several key drivers. Increasing urbanization and the need for enhanced building efficiency are major catalysts. Smart building technologies offer significant cost savings through optimized energy consumption, improved security, and streamlined operations. The rising adoption of IoT devices, advanced analytics, and cloud-based solutions further accelerates market penetration. Government initiatives promoting sustainable infrastructure and smart city development also contribute significantly to market growth. The market segmentation reveals strong demand across residential, commercial, and government sectors, with software solutions currently holding a larger market share than hardware, although hardware is expected to see significant growth driven by the increasing adoption of smart building devices. North America and Europe currently dominate the market, but rapid technological advancements and rising infrastructure investments in the Asia-Pacific region suggest significant future growth potential in this area. The market's growth trajectory is expected to remain positive throughout the forecast period (2025-2033), primarily driven by ongoing technological innovations. The integration of artificial intelligence (AI) and machine learning (ML) into connected building solutions is anticipated to improve energy optimization, predictive maintenance, and enhance overall building management. Furthermore, the increasing focus on data security and cyber resilience within connected building systems will drive investments in robust security solutions. However, the high initial investment costs associated with implementing connected building solutions and concerns around data privacy may act as potential restraints on market growth. Despite these challenges, the long-term benefits of increased efficiency, reduced operational costs, and enhanced occupant experience will ensure continuous market expansion.

  11. F

    Producer Price Index by Industry: Engineering Services: Non-Building Related...

    • fred.stlouisfed.org
    json
    Updated May 15, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Engineering Services: Non-Building Related Engineering Projects [Dataset]. https://fred.stlouisfed.org/series/PCU5413305413302
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    jsonAvailable download formats
    Dataset updated
    May 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: Engineering Services: Non-Building Related Engineering Projects (PCU5413305413302) from Dec 1996 to Apr 2025 about engineering, services, PPI, industry, inflation, price index, indexes, price, and USA.

  12. C

    Connected Building Solution Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 15, 2025
    + more versions
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    Archive Market Research (2025). Connected Building Solution Report [Dataset]. https://www.archivemarketresearch.com/reports/connected-building-solution-58522
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Connected Building Solutions market is experiencing robust growth, driven by the increasing adoption of smart technologies in commercial and residential spaces. The market, valued at approximately $25 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated market value of $75 billion by 2033. This significant expansion is fueled by several key factors. Firstly, the rising demand for energy efficiency and operational cost reduction is pushing building owners and managers to embrace connected building solutions that optimize energy consumption and improve building performance. Secondly, advancements in Internet of Things (IoT) technologies, cloud computing, and artificial intelligence (AI) are enabling the development of more sophisticated and integrated building management systems. These systems offer enhanced security, improved occupant comfort, and real-time data analytics for informed decision-making. The cloud-based segment is expected to dominate the market due to its scalability, flexibility, and cost-effectiveness. Geographically, North America and Europe currently hold substantial market share, but the Asia-Pacific region is projected to witness the fastest growth in the coming years, driven by rapid urbanization and increasing infrastructure development in countries like China and India. Significant market segments include residential, commercial, government, industrial, and manufacturing sectors. The commercial segment currently leads, driven by the need for improved operational efficiency in large buildings. However, the residential segment shows significant growth potential, driven by increasing adoption of smart home technologies. Challenges remain, such as the high initial investment costs associated with implementing connected building solutions, cybersecurity concerns, and the need for skilled professionals to manage and maintain these systems. However, these challenges are being mitigated by falling hardware costs, enhanced cybersecurity protocols, and the growing availability of specialized training and educational resources. The competitive landscape is marked by the presence of major players such as ABB, Siemens AG, and Honeywell International, as well as several innovative technology providers. The market's future is bright, propelled by continuous technological advancements and the growing awareness of the benefits of smart buildings.

  13. m

    Connected Building Solution Market Size and Projections

    • marketresearchintellect.com
    Updated Jan 19, 2024
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    Market Research Intellect (2024). Connected Building Solution Market Size and Projections [Dataset]. https://www.marketresearchintellect.com/product/connected-building-solution-market/
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    Dataset updated
    Jan 19, 2024
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    The size and share of the market is categorized based on Type (Cloud-based, On-premise) and Application (Residential, Commercial, Government, Industrial, Manufacturing, Others) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

  14. s

    Link Building Cost Statistics

    • searchlogistics.com
    Updated Mar 28, 2025
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    (2025). Link Building Cost Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/link-building-statistics/
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    Dataset updated
    Mar 28, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Here’s how much the average link costs from a quality link building service.

  15. End-Use Load Profiles for the U.S. Building Stock

    • data.openei.org
    • gimi9.com
    • +2more
    data, image_document +1
    Updated Oct 14, 2021
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    Eric Wilson; Andrew Parker; Anthony Fontanini; Elaina Present; Janet Reyna; Rajendra Adhikari; Carlo Bianchi; Christopher CaraDonna; Matthew Dahlhausen; Janghyun Kim; Amy LeBar; Lixi Liu; Marlena Praprost; Philip White; Liang Zhang; Peter DeWitt; Noel Merket; Andrew Speake; Tianzhen Hong; Han Li; Natalie Mims Frick; Zhe Wang; Aileen Blair; Henry Horsey; David Roberts; Kim Trenbath; Oluwatobi Adekanye; Eric Bonnema; Rawad El Kontar; Jonathan Gonzalez; Scott Horowitz; Dalton Jones; Ralph Muehleisen; Siby Platthotam; Matthew Reynolds; Joseph Robertson; Kevin Sayers; Qu Li; Eric Wilson; Andrew Parker; Anthony Fontanini; Elaina Present; Janet Reyna; Rajendra Adhikari; Carlo Bianchi; Christopher CaraDonna; Matthew Dahlhausen; Janghyun Kim; Amy LeBar; Lixi Liu; Marlena Praprost; Philip White; Liang Zhang; Peter DeWitt; Noel Merket; Andrew Speake; Tianzhen Hong; Han Li; Natalie Mims Frick; Zhe Wang; Aileen Blair; Henry Horsey; David Roberts; Kim Trenbath; Oluwatobi Adekanye; Eric Bonnema; Rawad El Kontar; Jonathan Gonzalez; Scott Horowitz; Dalton Jones; Ralph Muehleisen; Siby Platthotam; Matthew Reynolds; Joseph Robertson; Kevin Sayers; Qu Li (2021). End-Use Load Profiles for the U.S. Building Stock [Dataset]. http://doi.org/10.25984/1876417
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    data, website, image_documentAvailable download formats
    Dataset updated
    Oct 14, 2021
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Open Energy Data Initiative (OEDI)
    National Renewable Energy Laboratory (NREL)
    Authors
    Eric Wilson; Andrew Parker; Anthony Fontanini; Elaina Present; Janet Reyna; Rajendra Adhikari; Carlo Bianchi; Christopher CaraDonna; Matthew Dahlhausen; Janghyun Kim; Amy LeBar; Lixi Liu; Marlena Praprost; Philip White; Liang Zhang; Peter DeWitt; Noel Merket; Andrew Speake; Tianzhen Hong; Han Li; Natalie Mims Frick; Zhe Wang; Aileen Blair; Henry Horsey; David Roberts; Kim Trenbath; Oluwatobi Adekanye; Eric Bonnema; Rawad El Kontar; Jonathan Gonzalez; Scott Horowitz; Dalton Jones; Ralph Muehleisen; Siby Platthotam; Matthew Reynolds; Joseph Robertson; Kevin Sayers; Qu Li; Eric Wilson; Andrew Parker; Anthony Fontanini; Elaina Present; Janet Reyna; Rajendra Adhikari; Carlo Bianchi; Christopher CaraDonna; Matthew Dahlhausen; Janghyun Kim; Amy LeBar; Lixi Liu; Marlena Praprost; Philip White; Liang Zhang; Peter DeWitt; Noel Merket; Andrew Speake; Tianzhen Hong; Han Li; Natalie Mims Frick; Zhe Wang; Aileen Blair; Henry Horsey; David Roberts; Kim Trenbath; Oluwatobi Adekanye; Eric Bonnema; Rawad El Kontar; Jonathan Gonzalez; Scott Horowitz; Dalton Jones; Ralph Muehleisen; Siby Platthotam; Matthew Reynolds; Joseph Robertson; Kevin Sayers; Qu Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The United States is embarking on an ambitious transition to a 100% clean energy economy by 2050, which will require improving the flexibility of electric grids. One way to achieve grid flexibility is to shed or shift demand to align with changing grid needs. To facilitate this, it is critical to understand how and when energy is used. High quality end-use load profiles (EULPs) provide this information, and can help cities, states, and utilities understand the time-sensitive value of energy efficiency, demand response, and distributed energy resources. Publicly available EULPs have traditionally had limited application because of age and incomplete geographic representation. To help fill this gap, the U.S. Department of Energy (DOE) funded a three-year project, End-Use Load Profiles for the U.S. Building Stock, that culminated in this publicly available dataset of calibrated and validated 15-minute resolution load profiles for all major residential and commercial building types and end uses, across all climate regions in the United States. These EULPs were created by calibrating the ResStock and ComStock physics-based building stock models using many different measured datasets, as described in the "Technical Report Documenting Methodology" linked in the submission.

  16. Hong Kong SAR, China GDP: SNA93: 2007p: Chain Linked : GFCF: Building &...

    • ceicdata.com
    + more versions
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    CEICdata.com, Hong Kong SAR, China GDP: SNA93: 2007p: Chain Linked : GFCF: Building & Construction (BC) [Dataset]. https://www.ceicdata.com/en/hong-kong/gdp-gross-fixed-capital-formation-2007-price-chain-linked/gdp-sna93-2007p-chain-linked--gfcf-building--construction-bc
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2007 - Dec 1, 2009
    Area covered
    Hong Kong
    Variables measured
    Gross Domestic Product
    Description

    Hong Kong GDP: SNA93: 2007p: Chain Linked : GFCF: Building & Construction (BC) data was reported at 30,517.000 HKD mn in Dec 2009. This records an increase from the previous number of 28,932.000 HKD mn for Sep 2009. Hong Kong GDP: SNA93: 2007p: Chain Linked : GFCF: Building & Construction (BC) data is updated quarterly, averaging 31,167.500 HKD mn from Mar 1973 (Median) to Dec 2009, with 148 observations. The data reached an all-time high of 57,467.000 HKD mn in Mar 1998 and a record low of 11,572.000 HKD mn in Sep 1973. Hong Kong GDP: SNA93: 2007p: Chain Linked : GFCF: Building & Construction (BC) data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.A096: SNA 1993: GDP: Gross Fixed Capital Formation: 2007 Price: Chain Linked.

  17. D

    Linked RDF graphs of an architectural and structural representation of a...

    • darus.uni-stuttgart.de
    Updated May 12, 2025
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    Diellza Elshani; Alessio Lombardi; Daniel Hernández; Steffen Staab; Al Fisher; Thomas Wortmann (2025). Linked RDF graphs of an architectural and structural representation of a timber structure [Dataset]. http://doi.org/10.18419/DARUS-4360
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 12, 2025
    Dataset provided by
    DaRUS
    Authors
    Diellza Elshani; Alessio Lombardi; Daniel Hernández; Steffen Staab; Al Fisher; Thomas Wortmann
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Dataset funded by
    DFG
    Description

    This dataset provides a collection of semantically enriched RDF graphs representing both architectural and structural aspects of a timber structure. The data is organized into modular Turtle (.ttl) files and one RIF rule definition (.txt) for reasoning purposes. Included in the dataset: Architectural Graph.ttl: Captures the spatial and material characteristics of the architectural model, defined using standard RDF vocabularies. Structural Graph.ttl: Encodes structural elements and their relationships, including support systems and load-bearing components, structured for semantic querying. Neutral Building Model (Architectural + Structural).ttl: A consolidated RDF representation integrating architectural and structural elements. All proprietary references (e.g., BHoM) have been removed to ensure vendor neutrality and interoperability. Architectural columns are linked to structural bars, and architectural floors to structural panels. The model is fully queryable using SPARQL and adheres to open-access, GDPR-compliant standards. RDF_RIF_Rule.pie.txt: A rule expressed in RDF/RIF Core syntax that demonstrates reasoning capabilities on the dataset. This dataset supports the findings of a related journal paper (currently under submission) and is complemented by a GitHub repository containing the scripts and tools used to generate the RDF data. It is intended for researchers and professionals working on Linked Building Data, semantic modeling, ontology design, and integrated architectural/structural workflows in BIM. All files are formatted using open standards (RDF, Turtle, RIF) and designed for use in FAIR-compliant, interdisciplinary design environments.

  18. ETHOS.BUILDA: Residential Building TABULA Archetype Dataset Germany

    • zenodo.org
    csv
    Updated Jun 24, 2024
    + more versions
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    Kristina Dabrock; Kristina Dabrock; Jens Ulken; Noah Pflugradt; Noah Pflugradt; Jann Michael Weinand; Jann Michael Weinand; Detlef Stolten; Detlef Stolten; Jens Ulken (2024). ETHOS.BUILDA: Residential Building TABULA Archetype Dataset Germany [Dataset]. http://doi.org/10.5281/zenodo.12069755
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    csvAvailable download formats
    Dataset updated
    Jun 24, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kristina Dabrock; Kristina Dabrock; Jens Ulken; Noah Pflugradt; Noah Pflugradt; Jann Michael Weinand; Jann Michael Weinand; Detlef Stolten; Detlef Stolten; Jens Ulken
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Germany
    Description

    Introduction

    This dataset contains all residential buildings in Germany with their construction year, size class, refurbishment state, and TABULA archetype. It is a partial dump of the ETHOS.BUILDA database (version v7_20240429). ETHOS.BUILDA is a database containing building-level data for the German building stock. It is based on various data sources that are combined and enriched with machine learning approaches to generate one consistent and complete building dataset.

    ETHOS.BUILDA is made available under the Open Database License (ODbL). The licenses of the contents of the database depend on the data source. The sources of the building attributes and information on the type of processing that was done to assign the information from the raw data to the building in ETHOS.BUILDA are provided for each individual data point.

    Data structure and file overview

    Building data is provided per federal state, the files are named according to the NUTS-1 region names. The building data has the following fields:

    field namedescription
    IDunique identifier of the building
    positionlocation of building centroid in WKT-format, EPSG:3035
    construction_year

    value: construction year,

    source: source of the construction year data,

    lineage: construction year assignment method

    size_class

    value: size class of the building,

    source: source of the size class data,

    lineage: size class assignment method

    refurbishment_state

    value: refurbishment state of the building,

    source: source of the refurbishment state data,

    lineage: refurbishment state assignment method

    tabula_type

    value: TABULA type of the building,

    source: source of the TABULA data,

    lineage: TABULA type assignment method

    A mapping of the abbreviations of "source" and "lineage" of individual data points to the descriptions is provided in sources.csv and lineages.csv. There is no entry for the source "v3_model.json", as it refers to the internally trained machine learning model for the respective attribute and not to an external data source.

    The full footprint polygons from which the centroids are derived and the sources of the footprints are found in the related dataset linked as "is supplemented by".

    Acknowledgements

    This work was supported by the Helmholtz Association under the program "Energy System Design".

  19. NZ Building Outlines (All Sources)

    • data.linz.govt.nz
    csv, dwg, geodatabase +6
    Updated May 8, 2019
    + more versions
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    Land Information New Zealand (2019). NZ Building Outlines (All Sources) [Dataset]. https://data.linz.govt.nz/layer/101292-nz-building-outlines-all-sources/
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    dwg, pdf, mapinfo mif, csv, kml, geopackage / sqlite, geodatabase, shapefile, mapinfo tabAvailable download formats
    Dataset updated
    May 8, 2019
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

    https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    This dataset provides building outlines within mainland New Zealand extracted from multiple years of aerial imagery, allowing you to see change over time, or restrict the dataset to building outlines that match a specific aerial imagery source.

    A building outline is a 2D representation of the roof outline of a building which has been classified from LINZ aerial imagery using a combination of automated and manual processes to extract and refine a building roof outline.

    Building roof outlines observed in aerial imagery larger than or equal to 10 square meters are captured in this dataset, and may include structures such as garages and large sheds.

    Data vintage

    This dataset contains all building outlines which have been extracted from multiple years of aerial imagery available in each region of the country, including the most recent imagery. This dataset includes the dates for which each building existed in the aerial imagery.

    Current coverage includes nearly all regions of New Zealand, except parts of the Southern Alps, as well as Fiordland, Stewart Island and the Chatham Islands. This dataset will be updated and expanded as new aerial imagery becomes available.

    Please refer to the NZ Building Outlines Data Dictionary for detailed metadata and information about this dataset.

    Related building outlines data

    NZ Building Outlines - provides current building outlines only, derived from the latest LINZ aerial imagery.

    Note: The NZ Building Outlines Lifecycle table is no longer being updated past January 2025. NZ Building Outlines Lifecycle – stores the relationship between building outlines when one building is split into two or more building outlines, or when multiple building outlines are merged into a single outline. Use this in conjunction with the NZ Building Outlines (All Sources) dataset.

  20. Connected Building Solution Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Connected Building Solution Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/connected-building-solution-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Connected Building Solution Market Outlook




    The global connected building solution market size was valued at approximately USD 30 billion in 2023 and is expected to reach around USD 70 billion by 2032, growing at a CAGR of 9.5% during the forecast period. This robust growth is propelled by increasing urbanization, advancements in IoT technology, and growing demand for energy-efficient solutions in both residential and commercial buildings.




    A significant growth factor for the connected building solution market is the rising need for energy-efficient buildings. With increasing environmental concerns and stringent government regulations aimed at reducing carbon emissions, there is a growing emphasis on constructing smart buildings that optimize energy usage. Connected buildings employ IoT sensors and smart meters to monitor and manage energy consumption in real-time, leading to substantial cost savings and reduced environmental impact. Moreover, advancements in AI and machine learning are enabling more sophisticated energy management systems, further driving market growth.




    Another key driver is the increasing adoption of smart technologies in commercial and residential buildings. The integration of smart lighting, HVAC systems, and security systems into building infrastructure enhances operational efficiency and occupant comfort. For instance, smart lighting systems can adjust brightness based on natural light availability and occupancy, thereby reducing energy wastage. The proliferation of smart home devices and their increasing compatibility with connected building solutions are also contributing to market expansion. The convenience and enhanced security offered by these technologies are attracting a growing number of consumers, particularly in urban areas.



    The concept of Smart Home and Smart Building is becoming increasingly relevant as technology continues to advance. These systems integrate various smart devices and technologies to create an interconnected environment that enhances the functionality and efficiency of buildings. In smart homes, devices such as smart thermostats, lighting systems, and security cameras can be controlled remotely, providing homeowners with convenience and energy savings. Similarly, smart buildings utilize IoT sensors and automation systems to optimize energy usage, improve security, and enhance occupant comfort. As the demand for intelligent and sustainable living spaces grows, the integration of smart home and smart building technologies is expected to play a pivotal role in shaping the future of residential and commercial properties.




    The demand for connected building solutions is also fueled by the rapid growth of urbanization and the expansion of smart cities. Governments and private organizations are investing heavily in smart city projects, which aim to utilize advanced technologies to improve infrastructure, reduce energy consumption, and enhance the quality of life for residents. Connected building solutions play a crucial role in these projects by providing the necessary infrastructure to support smart city initiatives. As urban areas continue to expand, the adoption of connected building solutions is expected to rise, further driving market growth.




    From a regional perspective, North America currently holds the largest share of the connected building solution market, owing to the early adoption of smart technologies and significant investments in smart city projects. The Asia Pacific region is anticipated to exhibit the highest growth rate during the forecast period, driven by rapid urbanization, increasing disposable incomes, and supportive government initiatives promoting smart infrastructure development. Europe also presents a lucrative market, with strict regulations on energy efficiency and sustainability pushing the adoption of connected building solutions.



    Component Analysis




    The connected building solution market is segmented by components into hardware, software, and services. Hardware components include sensors, smart meters, and other IoT devices that are integral to the functioning of connected buildings. The hardware segment is poised for significant growth as the demand for these devices continues to rise. The increasing installation of smart meters and sensors for real-time monitoring and management of building operations is a key driver for this se

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Statista (2024). Most effective link building strategy worldwide 2023 [Dataset]. https://www.statista.com/statistics/1468522/eeo-link-building-strategies/
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Most effective link building strategy worldwide 2023

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Dataset updated
May 23, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

During a 2023 survey conducted among search engine optimization (SEO) professionals worldwide, approximately 17.2 percent of respondents identified social media as the most effective link building strategy, utilizing it for promotion and encouraging linking. Alternative media strategies, including infographics, videos, and tools, ranked second, cited by 15.7 percent of respondents.

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