41 datasets found
  1. d

    Home Ownership Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
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    BatchService, Home Ownership Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchservice-home-ownership-data-us-87-million-property-o-batchservice
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    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    BatchService
    Area covered
    United States of America
    Description

    BatchData provides comprehensive home ownership data for 87 million owners of residential homes in the US. We specialize in providing accurate contact information for owners of specific properties, trusted by some of the largest real estate companies for our superior capabilities in accurately unmasking owners of properties that may be hidden behind LLCs and corporate veils.

    Our home ownership data is commonly used to fuel targeted marketing campaigns, generating real estate insights, powering websites/applications with real estate intelligence, and enriching sales and marketing databases with accurate homeowner contact information and surrounding intelligence to improve segmentation and targeting.

    Home ownership data that is linked to a given property includes: - Homeowner Name(s) - Homeowner Cell Phone Number - Homeowner Email Address - Homeowner Mailing Address - Addresses of Properties Owned - Homeowner Portfolio Equity - Total Number of Properties Owned - Property Characteristics of Properties Owned - Homeowner sales, loan, and mortgage information - Property Occupancy Status of Properties Owned - Property Valuation & ARV information of Properties Owned - Ownership Length - Ownership History - Homeowner Age - Homeowner Marital Status - Homeowner Income - and more!

    BatchService is both a data and technology company helping companies in and around the real estate ecosystem achieve faster growth. BatchService specializes in providing accurate B2B and B2C contact data for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, consolidate their data providers, and power their products and services.

  2. d

    Property Management and Real Estate Software Market Report | Global Forecast...

    • dataintelo.com
    csv
    Updated Jan 7, 2025
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    Dataintelo (2025). Property Management and Real Estate Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-property-management-and-real-estate-software-market
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    csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Property Management and Real Estate Software Market Outlook



    The global property management and real estate software market size is projected to grow from USD 15 billion in 2023 to USD 30 billion by 2032, reflecting a compound annual growth rate (CAGR) of approximately 8%. This remarkable growth is driven by several factors, including the increasing need for efficient property management solutions, the rapid urbanization trend, and the proliferation of smart technologies in the real estate sector. The integration of artificial intelligence and machine learning in software solutions is further enhancing the capabilities of property management, providing real-time data analytics and predictive maintenance insights, thereby fueling the marketÂ’s expansion.



    One significant growth factor is the digital transformation across the real estate industry. As real estate firms and property managers seek to improve operational efficiency, reduce costs, and enhance tenant satisfaction, they are increasingly adopting advanced software solutions. These systems streamline various processes, including lease management, billing, maintenance scheduling, and customer relationship management, leading to improved productivity and better resource allocation. Moreover, the integration of IoT devices with property management software is providing comprehensive insights into building operations, enabling predictive analytics and proactive management strategies.



    Another driving force behind the market growth is the escalating demand for cloud-based solutions. Cloud deployment offers substantial benefits, such as scalability, cost-effectiveness, and remote accessibility, making it an attractive option for both small-scale real estate agencies and large enterprises. With the growing emphasis on remote work and virtual collaboration, cloud-based property management solutions are becoming indispensable. The trend is further accelerated by the increasing penetration of the internet and the rising adoption of mobile devices, allowing property managers and tenants to access information and perform tasks seamlessly from any location.



    The growing awareness and investment in data security and compliance are also contributing to the market's growth. With the advent of regulations such as GDPR and increased concerns over data breaches, property management software providers are investing significantly in enhancing security features. This includes integrating encryption, multi-factor authentication, and real-time monitoring capabilities into their platforms. As a result, end-users are gaining increased confidence in adopting digital solutions, driving further growth in the market. Moreover, the ongoing advancements in cybersecurity technologies are expected to bolster the adoption of these software solutions in the coming years.



    In this evolving landscape, Real Estate Portfolio Management Solution has emerged as a vital tool for investors and property managers. These solutions provide a comprehensive overview of property assets, enabling stakeholders to make informed decisions based on real-time data and analytics. By integrating various aspects of property management, such as financial performance, risk assessment, and market trends, these solutions help in optimizing asset performance and maximizing returns. As the real estate market becomes increasingly complex, the demand for robust portfolio management solutions is expected to rise, offering significant advantages in strategic planning and investment management.



    Regionally, North America holds a dominant position in the property management and real estate software market, primarily due to the high adoption rate of technology and the presence of several key market players. The region is expected to maintain its lead, driven by continuous technological innovations and a well-established infrastructure. However, the Asia-Pacific region is anticipated to witness the fastest growth during the forecast period. Factors such as rapid urbanization, burgeoning real estate sector, and increasing disposable incomes are propelling the demand for property management solutions in countries like China and India. Furthermore, government initiatives supporting digital transformation in real estate are expected to create lucrative opportunities in this region.



    Component Analysis



    The property management and real estate software market is segmented by components into software and services. The software component encom

  3. U

    US Real Estate Industry Solutions Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 22, 2025
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    Market Report Analytics (2025). US Real Estate Industry Solutions Report [Dataset]. https://www.marketreportanalytics.com/reports/us-real-estate-industry-solutions-92031
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 22, 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 US real estate industry solutions market is experiencing robust growth, driven by increasing technological adoption, a burgeoning demand for property management tools, and the escalating need for data-driven decision-making within the sector. The period between 2019 and 2024 witnessed a significant expansion, laying a solid foundation for continued progress. While precise figures for market size aren't provided, considering the consistent growth in related tech sectors and the substantial investment in proptech, a conservative estimate places the 2025 market size at approximately $15 billion. This reflects the convergence of traditional real estate practices with innovative solutions across property search, valuation, mortgage processing, and property management. The market's expansion is fueled by a growing reliance on AI-powered tools for market analysis, automated valuation models (AVMs), and streamlined transaction management. This trend is anticipated to continue, driven by the increasing complexity of real estate transactions and the need for improved efficiency. Looking ahead to 2033, a Compound Annual Growth Rate (CAGR) needs to be estimated for accurate prediction. Considering the current technological advancements and ongoing digital transformation within the industry, a reasonable projection would be a CAGR of 8-10% for the forecast period (2025-2033). This translates to a significant market expansion, potentially reaching $30-35 billion by 2033. Factors contributing to this sustained growth include the rising adoption of cloud-based solutions, enhanced cybersecurity measures, and the integration of blockchain technology for secure and transparent transactions. The increasing focus on sustainable real estate practices and green building technologies further presents opportunities for specialized industry solutions. The market is segmented by solution type (property management software, CRM, analytics, etc.), deployment mode (cloud-based, on-premise), and end-user (brokerages, developers, investors). Recent developments include: January 2022: CBRE Group announced it acquired Buildingi, a leading provider of occupancy planning and technology services, to meet growing occupier demand for holistic occupancy management services. Buildingi will fully integrate with CBRE's Occupancy Management team and initially transition to Buildingi from CBRE. Buildingi provides space utilization data management and Computer-Aided Design (CAD) services that help to underpin CBRE's occupancy management offering., January 2022: Long & Foster Real Estate expanded its market-leading presence in Richmond, joining forces with local franchise Dew Realty. Founded in 1978 and currently led by Bob Flanagan, Trey Flanagan, Lou Flanagan, and Sharon Coleman, Dew Realty specializes in residential resale, new construction, land, relocation, and commercial sales throughout Central Virginia.. Notable trends are: Increase in Demand for Facility Management.

  4. Equity value of leading real estate data and software companies in the U.S....

    • statista.com
    Updated Dec 12, 2023
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    Statista (2023). Equity value of leading real estate data and software companies in the U.S. Q2 2022 [Dataset]. https://www.statista.com/statistics/1333427/equity-value-real-estate-data-software-companies-usa/
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    Dataset updated
    Dec 12, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Black Knight, Inc. was the real estate data and software company with the highest equity value in the United States as of the second quarter of 2022. At almost 10 billion U.S. dollars, the equity value of Black Knight was almost three times that of the third company in the ranking - AppFolio, Inc. Black Knight is an provider of integrated software, data, and analytics solutions.

  5. Leading real estate websites in the U.S. 2020-2024, by monthly visits

    • statista.com
    Updated Mar 4, 2025
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    Statista (2025). Leading real estate websites in the U.S. 2020-2024, by monthly visits [Dataset]. https://www.statista.com/statistics/381468/most-popular-real-estate-websites-by-monthly-visits-usa/
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    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Description

    Zillow reigns supreme in the U.S. real estate website landscape, attracting a staggering 365.8 million monthly visits in 2024. This figure dwarfs its closest competitor, Realtor.com, which garnered less than half of Zillow's traffic. Online platforms are extremely popular, with the majority of homebuyers using a mobile device during the buying process. The rise of Zillow Founded in 2006, the Seattle-headquartered proptech Zillow has steadily grown over the years, establishing itself as the most popular U.S. real estate website. In 2023, the listing platform recorded about 214 million unique monthly users across its mobile applications and website. Despite holding an undisputed position as a market leader, Zillow's revenue has decreased since 2021. A probable cause for the decline is the plummeting of housing transactions and the negative housing sentiment. Performance and trends in the proptech market The proptech market has shown remarkable performance, with companies like Opendoor and Redfin experiencing significant stock price increase in 2023. This growth is particularly notable in the residential brokerage segment. Meanwhile, major players in proptech fundraising, such as Fifth Wall and Hidden Hill Capital, have raised billions in direct investment, further fueling the sector's development. As technology continues to reshape the real estate industry, online platforms like Zillow are likely to play an increasingly crucial role in how people search for and purchase homes. (1477916, 1251604)

  6. Office vacancy rates in the U.S. 2017-2025, per quarter

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
    + more versions
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    Statista (2025). Office vacancy rates in the U.S. 2017-2025, per quarter [Dataset]. https://www.statista.com/statistics/194054/us-office-vacancy-rate-forecasts-from-2010/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Vacancy rates across the office real estate sector in the U.S. increased in the first quarter of 2025. This was in line with a general trend of rising vacancies that started in 2020 during the COVID-19 pandemic. In the *** quarter of 2025, about **** percent of office space across the country was vacant. In some major U.S. markets, vacancies exceeded ** percent. With a considerable part of the workforce working from home or following a hybrid working model, businesses are cautious when it comes to upscaling or renewing leases. Workplaces may never be the same again The COVID-19 pandemic has changed the way that companies operate, with working from home has becoming the new normal for many U.S. employees. The function of the office has evolved from the primary workplace to a space where employees collaborate, exchange ideas, and socialize. That has shifted occupiers’ attention toward spaces with modern designs that can accommodate the office of the future. Many businesses used the pandemic time to revisit their office guidelines, remodel or do a full or partial fit-out. With so much focus on quality, older buildings with poorer design or energy performance are likely to suffer lower demand, resulting in a two-speed market. What do higher vacancy rates mean for investors? Simply put, if landlords do not have tenants, their income stream is disrupted, and they cannot service their debts. April 2023 data shows that several U.S. metros had a significantly high share of distressed office real estate debt. In Charlotte-Gastonia-Concord, NC-SC, more than one-third of the commercial mortgage-backed securities for offices were delinquent, in special servicing, or a combination of both. As of March 2025. offices had the highest delinquency rate in the commercial property sector.

  7. US Current Real Estate Market Values | National Automated Valuation Model...

    • datarade.ai
    .csv, .xls, .txt
    Updated Jan 18, 2025
    + more versions
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    The Warren Group (2025). US Current Real Estate Market Values | National Automated Valuation Model (AVM) Data | Home Sale Prices, Market Trends, and Geographic Data [Dataset]. https://datarade.ai/data-products/us-national-automated-valuation-model-avm-data-current-ma-the-warren-group
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jan 18, 2025
    Dataset authored and provided by
    The Warren Group
    Area covered
    United States of America
    Description

    Our Bulk Automated Valuation Model (AVM) is a service that uses mathematical modeling to determine current market values. AVMs integrate vast amounts of data, including sales prices, market trends, and geographic information, to estimate real estate values with minimal human intervention – often referred to as “Desktop Valuations”. These models are designed to provide objective and uniform evaluations, helping to standardize property valuations across the board.

    What Does Our AVM Offer?

    Our Automated Valuation Model (AVM) leverages cutting-edge technologies, the most recent methodologies, and is supported by the foremost data provider with the largest datasets in the industry. This ensures a swift, exceptionally accurate AVM that delivers the comprehensive insights you need.

    AVM Data Details:

    • Property Address
    • FIPS
    • Property ID
    • APN
    • Final Value
    • High Value
    • Low Value
    • Confidence Score
    • Standard Deviation
    • Valuation Date
    • Recording Time Stamp
    • Recording Type
  8. T

    Business Property Tax Credit Distributions

    • mydata.iowa.gov
    • data.iowa.gov
    application/rdfxml +5
    Updated May 7, 2025
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    Iowa Department of Administrative Services, State Accounting Enterprise, I3 Data Warehouse (2025). Business Property Tax Credit Distributions [Dataset]. https://mydata.iowa.gov/State-Government-Finance/Business-Property-Tax-Credit-Distributions/ptu3-vnqh
    Explore at:
    csv, tsv, json, application/rssxml, xml, application/rdfxmlAvailable download formats
    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Iowa Department of Administrative Services, State Accounting Enterprise, I3 Data Warehouse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This data view contains local government payment transactions for the Business Property Tax Credit program as recorded in the State of Iowa’s central accounting system for the Executive Branch.

  9. G

    Geospatial Imagery Analytics Market Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Dec 24, 2024
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    Market Research Forecast (2024). Geospatial Imagery Analytics Market Report [Dataset]. https://www.marketresearchforecast.com/reports/geospatial-imagery-analytics-market-1816
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Dec 24, 2024
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The Geospatial Imagery Analytics Marketsize was valued at USD 11.88 USD Billion in 2023 and is projected to reach USD 83.39 USD Billion by 2032, exhibiting a CAGR of 32.1 % during the forecast period.Geospatial analytics gathers, manipulates, and displays geographic information system (GIS) data and imagery including GPS and satellite photographs. Geospatial data analytics rely on geographic coordinates and specific identifiers such as street address and zip code. geospatial visualization enables businesses to better understand complex information and make informed decisions. They can quickly see patterns and trends and assess the impact of different variables by visualizing data in a spatial context. The field encompasses several techniques and algorithms, such as spatial interpolation, spatial regression, spatial clustering, and spatial autocorrelation analysis, which help extract insights from various geospatial data sources. The growing adoption of location-based services in various industries, including agriculture, defense, and urban planning, is driving the demand for geospatial imagery analytics. Recent developments include: August 2023: onX, a digital navigation company, partnered with Planet Labs PBC, a satellite imagery provider, to introduce a new feature called ‘Recent Imagery’. This feature offers onX app users updated satellite imagery maps every two weeks, enhancing the user experience across onX Hunt, onX Offroad, and onX Backcountry apps. This frequent data update helps outdoor enthusiasts access real-time information for safer and more informed outdoor activities., August 2023: Quant Data & Analytics, a provider of data products and enterprise solutions for real estate and retail, partnered with Satellogic Inc. to utilize Satellogic’s high-resolution satellite imagery to enhance property technology in Saudi Arabia and the Gulf region., April 2023: Astraea, a spatiotemporal data and analytics platform, introduced a new ordering service that grants customers scalable access to top-tier commercial satellite imagery from providers such as Planet Labs PBC and others., May 2022: Satellogic Inc. established a partnership with UP42. This geospatial developer platform enables direct access to Satellogic’s satellite tasking capabilities, including high-resolution multispectral and wide-area hyperspectral imagery, through the UP42 API-based platform., April 2022: TomTom International BV, a geolocation tech company, broadened its partnership with Maxar Technologies, a space solution provider. This expansion involves integrating high-resolution global satellite imagery from Maxar’s Vivid imagery base maps into TomTom’s product lineup, enhancing their visualization solutions for customers.. Key drivers for this market are: Growing Demand for Location-based Insights across Diverse Industries to Fuel Market Growth. Potential restraints include: Complexity and Cost Associated with Data Acquisition and Processing May Hamper Market Growth. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

  10. US National Automated Valuation Model (AVM) Data | Current Property Market...

    • datarade.ai
    .csv, .xls, .txt
    Updated Jan 18, 2025
    + more versions
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    The Warren Group (2025). US National Automated Valuation Model (AVM) Data | Current Property Market Values | Home Sale Prices, Market Trends, and Geographic Data [Dataset]. https://datarade.ai/data-products/us-national-automated-valuation-model-avm-data-current-ma-the-warren-group-10a8
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jan 18, 2025
    Dataset authored and provided by
    The Warren Group
    Description

    Our Bulk Automated Valuation Model (AVM) is a service that uses mathematical modeling to determine current market values. AVMs integrate vast amounts of data, including sales prices, market trends, and geographic information, to estimate real estate values with minimal human intervention – often referred to as “Desktop Valuations”. These models are designed to provide objective and uniform evaluations, helping to standardize property valuations across the board.

    What Does Our AVM Offer?

    Our Automated Valuation Model (AVM) leverages cutting-edge technologies, the most recent methodologies, and is supported by the foremost data provider with the largest datasets in the industry. This ensures a swift, exceptionally accurate AVM that delivers the comprehensive insights you need.

    AVM Data Details:

    • Property Address
    • FIPS
    • Property ID
    • APN
    • Final Value
    • High Value
    • Low Value
    • Confidence Score
    • Standard Deviation
    • Valuation Date
    • Recording Time Stamp
    • Recording Type
  11. o

    Providers Place Cross Street Data in Elizabethtown, IN

    • ownerly.com
    Updated Dec 13, 2021
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    Ownerly (2021). Providers Place Cross Street Data in Elizabethtown, IN [Dataset]. https://www.ownerly.com/in/elizabethtown/providers-pl-home-details
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    Dataset updated
    Dec 13, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Providers Place, Elizabethtown
    Description

    This dataset provides information about the number of properties, residents, and average property values for Providers Place cross streets in Elizabethtown, IN.

  12. T

    Elderly & Disabled Property Tax Credit Distributions

    • mydata.iowa.gov
    • data.iowa.gov
    application/rdfxml +5
    Updated Jun 6, 2025
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    Iowa Department of Administrative Services, State Accounting Enterprise, I3 Data Warehouse (2025). Elderly & Disabled Property Tax Credit Distributions [Dataset]. https://mydata.iowa.gov/State-Government-Finance/Elderly-Disabled-Property-Tax-Credit-Distributions/rrux-d28c
    Explore at:
    csv, application/rdfxml, json, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Jun 6, 2025
    Authors
    Iowa Department of Administrative Services, State Accounting Enterprise, I3 Data Warehouse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This data view contains local government payment transactions for the Elderly & Disabled tax credit program as recorded in the State of Iowa’s central accounting system for the Executive Branch.

  13. Global Cloud Escrow Services Market Size By Deployment Model, By...

    • verifiedmarketresearch.com
    Updated Feb 12, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Cloud Escrow Services Market Size By Deployment Model, By Organisation Size, By Industry Vertical, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/cloud-escrow-services-market/
    Explore at:
    Dataset updated
    Feb 12, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Cloud Escrow Services Market size was valued at USD 8.2 Billion in 2023 and is projected to reach USD 18.4 Billion by 2030, growing at a CAGR of 12.4% during the forecast period 2024-2030.

    Global Cloud Escrow Services Market Drivers

    The growth and development of the Cloud Escrow Services Market is attributed to certain main market drivers. These factors have a big impact on how Cloud Escrow Services are demanded and adopted in different sectors. Several of the major market forces are as follows:

    Growing Adoption of Cloud Services: With more companies turning to cloud-based solutions, there is a greater need than ever for safe arrangements that guarantee data access and business continuity in the event of disruptions or service provider failures.

    Risk Mitigation and Business Continuity Planning: Cloud escrow services offer a risk mitigation approach that gives companies a safety net in the event that their cloud service providers experience bankruptcy, unstable finances, or other problems that could cause service interruptions.

    Regulatory Compliance Requirements: To preserve sensitive data and guarantee legal compliance, escrow arrangements and other contingency plans must frequently be put into place in order to comply with a variety of industry rules and data protection legislation.

    Intellectual Property Protection: Cloud service providers frequently use these platforms to handle and store confidential intellectual property. Cloud escrow services serve to safeguard this priceless information and guarantee access in case of unanticipated events.

  14. u

    View recent shipments of all real estate market trends suppliers | Ueedata

    • en.ueedata.com
    Updated May 22, 2025
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    Ueedata (2025). View recent shipments of all real estate market trends suppliers | Ueedata [Dataset]. https://en.ueedata.com/supplier/
    Explore at:
    Dataset updated
    May 22, 2025
    Authors
    Ueedata
    License

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

    Variables measured
    合作伙伴, 合作国家, 合作指数, 总交易量
    Description

    Global customs records show 246 suppliers of real estate market trends worldwide. View their latest shipment records.

  15. Lot boundaries

    • researchdata.edu.au
    • data.nsw.gov.au
    Updated May 29, 2025
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    data.nsw.gov.au (2025). Lot boundaries [Dataset]. https://researchdata.edu.au/lot-boundaries/3577206
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    Dataset updated
    May 29, 2025
    Dataset provided by
    Government of New South Waleshttp://nsw.gov.au/
    Description

    Content TitleLot Boundaries
    Content TypeHosted Feature Layer
    DescriptionNSW Land Parcel and Property Theme MultiCRS - Lot is a polygon feature that defines a parcel of land created on a survey plan. Parcel polygons are defined by a series of boundary lines that store recorded dimensions as attributes in the lines table. It visualises these boundaries of land parcels, often buildings on land, the parcel identifier, and basic topographic features.

    NSW Land Parcel and Property Theme provides the foundation fabric of land ownership. It consists of the digital cadastral database and associated parcel and property information.

    NSW Land Parcel and Property Theme Lot is made up of the following features within the NSW Land Parcel and Property Theme.

    Cadastral Fabric – Lot

    Lot - Depicts a parcel of land created on a survey plan. Each lot may be represented by standard lots, standard part lots, strata or stratum. Each lot has a lot number, section number, plan lot area, plan number, plan label, Integrated Titling System (ITS) title status, and stratum label.

    Land and property data underpins the economic, social and environmental fabric of NSW and is used, amongst other things, to:
    • Secure tenure for access to capital
    • Define allowable use of land
    • Manage native title, nature conservation, heritage, protection, defence, and disaster management
    • Improve infrastructure and property development planning
    • Inform water and carbon accounting programs
    Spatial Services continuously updates the Land Parcel and Property theme with information sourced from relevant stakeholders and custodians. The majority of updates to the datasets in this theme originate from subdivision, registration and gazettal activity.

    The data is up to date to within 10 working days from when a plan is lodged at NSW Land Registry Services. Data is also sourced from Crown Lands, the Office of Environment and Heritage, the Aboriginal Land Council, Local Land Services, the Electoral Commission and NSW Trade and Investment.

    The Cadastral upgrade program commenced in 2007 and is ongoing, improving the spatial accuracy of different feature classes. Upgrades are carried out in consultation with the relevant Local Government Authority and are further facilitated through the incorporation of data provided by external agencies. Upgrade positional accuracy varies across the state and generally ranges from less than 5m from true position in rural areas to less than 0.2m from true position in urban areas, dependent on the survey control available.

    Data quality for both Cadastral Maintenance and Cadastral Upgrade activities are assured through specification compliance and data topology rules. The client delivery database is automatically updated each evening with the changes that occurred that day in the maintenance environment.
    Initial Publication Date05/02/2020
    Data Currency01/01/3000
    Data Update FrequencyDaily
    Content SourceData provider files
    File TypeESRI File Geodatabase (*.gdb)
    Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.au
    Data Theme, Classification or Relationship to other DatasetsNSW Land Parcel Property Theme of the Foundation Spatial Data Framework (FSDF)
    AccuracyThe dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. This dataset was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. A program to upgrade the spatial location and accuracy of data is ongoing.
    Spatial Reference System (dataset)GDA94
    <font color='#000000'

  16. T

    Military Service Property Tax Credit Distributions

    • data.iowa.gov
    • mydata.iowa.gov
    application/rdfxml +5
    Updated Jun 6, 2025
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    Iowa Department of Administrative Services, State Accounting Enterprise, I3 Data Warehouse (2025). Military Service Property Tax Credit Distributions [Dataset]. https://data.iowa.gov/State-Government-Finance/Military-Service-Property-Tax-Credit-Distributions/gymy-wptx
    Explore at:
    csv, tsv, json, application/rdfxml, application/rssxml, xmlAvailable download formats
    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    Iowa Department of Administrative Services, State Accounting Enterprise, I3 Data Warehouse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This data view contains local government payment transactions for the Military Service tax credit program as recorded in the State of Iowa’s central accounting system for the Executive Branch.

  17. V

    U S Air Force Property Co Drs Import Shipments, Overseas Suppliers

    • volza.com
    csv
    Updated Jun 5, 2025
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    Volza FZ LLC (2025). U S Air Force Property Co Drs Import Shipments, Overseas Suppliers [Dataset]. https://www.volza.com/us-importers/u-s-air-force-property-co-drs-3777249.aspx
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    csvAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Count of import shipments
    Description

    Find out import shipments and details about U S Air Force Property Co Drs Import Data report along with address, suppliers, products and import shipments.

  18. w

    Global Commercial Real Estate Technology Market Research Report: By...

    • wiseguyreports.com
    Updated Aug 10, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Commercial Real Estate Technology Market Research Report: By Deployment Type (On-premise, Cloud), By Technology (Artificial Intelligence/Machine Learning, Blockchain, Internet of Things (IoT), Big Data Analytics, Virtual Reality/Augmented Reality), By Application (Property Management, Tenant Management, Space Planning, Facility Management, Transaction Management), By Property Type (Office, Retail, Residential, Industrial/Logistics, Mixed-Use), By Vertical (Real Estate Investment Trusts (REITs), Property Developers, Property Managers, Corporate Occupiers, Retailers, Healthcare Providers) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/cn/reports/commercial-real-estate-technology-market
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    Dataset updated
    Aug 10, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202315.82(USD Billion)
    MARKET SIZE 202418.65(USD Billion)
    MARKET SIZE 203269.4(USD Billion)
    SEGMENTS COVEREDDeployment Type ,Technology ,Application ,Property Type ,Vertical ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSGrowing demand for smart and connected buildings Increasing adoption of cloudbased solutions Emergence of artificial intelligence AI and machine learning ML Focus on sustainability and energy efficiency Government regulations and incentives
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDMicrosoft Corporation ,WiredScore ,VTS ,Amazon Web Services (AWS) ,JLL Technologies ,HqO ,CoStar Group ,IBM Corporation ,Google LLC ,Equiem ,MRI Software ,SAP SE ,Oracle Corporation ,Yardi Systems
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESData Analytics and Management Building Automation and IoT AIPowered Marketplaces PropTech for Sustainability Tenant Engagement Technologies
    COMPOUND ANNUAL GROWTH RATE (CAGR) 17.86% (2025 - 2032)
  19. Leading countries by number of data centers 2025

    • statista.com
    Updated Mar 21, 2025
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    Statista (2025). Leading countries by number of data centers 2025 [Dataset]. https://www.statista.com/statistics/1228433/data-centers-worldwide-by-country/
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Worldwide
    Description

    As of March 2025, there were a reported 5,426 data centers in the United States, the most of any country worldwide. A further 529 were located in Germany, while 523 were located in the United Kingdom. What is a data center? A data center is a network of computing and storage resources that enables the delivery of shared software applications and data. These facilities can house large amounts of critical and important data, and therefore are vital to the daily functions of companies and consumers alike. As a result, whether it is a cloud, colocation, or managed service, data center real estate will have increasing importance worldwide. Hyperscale data centers In the past, data centers were highly controlled physical infrastructures, but the cloud has since changed that model. A cloud data service is a remote version of a data center – located somewhere away from a company's physical premises. Cloud IT infrastructure spending has grown and is forecast to rise further in the coming years. The evolution of technology, along with the rapid growth in demand for data across the globe, is largely driven by the leading hyperscale data center providers.

  20. D

    Data Discovery Industry Report

    • marketreportanalytics.com
    ppt
    Updated Apr 25, 2025
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    Market Report Analytics (2025). Data Discovery Industry Report [Dataset]. https://www.marketreportanalytics.com/reports/data-discovery-industry-91304
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    pptAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Market Report Analytics
    Time period covered
    2025 - 2033
    Variables measured
    Market Size
    Description

    The data discovery market, projected at $XX million in 2025, is experiencing robust growth, fueled by a compound annual growth rate (CAGR) of 21%. This expansion is driven by several key factors. The increasing volume and complexity of data generated by businesses across diverse sectors necessitate efficient tools for data analysis and insights extraction. The rise of big data analytics and the growing adoption of cloud-based solutions are further propelling market growth. Businesses across industries, particularly Banking, Financial Services, and Insurance (BFSI), Telecommunications and IT, and Retail and E-commerce, are increasingly recognizing the value of data-driven decision-making, leading to higher adoption rates of data discovery platforms. The market is segmented by component (software and services), enterprise size (SMEs and large enterprises), and industry vertical, with each segment contributing uniquely to overall market dynamics. While the market faces challenges such as the need for skilled professionals and the complexity of integrating data from disparate sources, the overall trend suggests sustained growth, driven by the continuous rise in data generation and the expanding need for actionable insights. The competitive landscape is characterized by a mix of established players like Tableau, SAP, and Oracle, and emerging innovative companies. This competition fosters innovation and drives down costs, making data discovery solutions more accessible to a broader range of businesses. While North America currently holds a significant market share, regions like Asia Pacific are expected to witness rapid growth driven by increasing digitalization and adoption of advanced analytics. The forecast period (2025-2033) anticipates sustained growth, though the rate of expansion may gradually moderate as the market matures. The market's future trajectory will depend on factors such as technological advancements, regulatory changes, and the overall economic climate. Continued investment in research and development, coupled with strategic partnerships and acquisitions, will be key to success in this dynamic and rapidly evolving market. Recent developments include: August 2022: CoreLogic, a major global provider of analytics-driven and property data solutions, expanded its partnership with Google Cloud to assist in the introduction of its novel CoreLogic Discovery Platform. Discovery Platform, which is fully built on Google Cloud's safe and sustainable technology, offers a complete asset analytics platform and cloud-based data interchange for enterprises in a variety of industries., June 2022: Select Star established an official collaboration with dbt Labs. Dbt has been one of Select Star's most significant integrations, with over 15,000 models and 225,000 columns linked up to date. Select Star is intended to facilitate the data discovery required by companies in order to harness the potential of their data and generate effective outcomes. As a result, Select Star and Dbt Labs have a shared goal, to empower analytics engineers to convert information better and keep appropriate documentation so that business users and data analysts can trust their data., June 2022: TD SYNNEX's SNX Tech Data established a collaboration with Instructure INST, a Learning Management Systems ("LMS") company, to utilize advanced learning capabilities in India. TD SYNNEX earned a substantial advantage with this deal, in addition to developing its data, Internet of Things, and analytics products. By enabling end-to-end business analytics powered by self-service data discovery, corporate reporting, mobile apps, and embedded analytics, TD SYNNEX's partners were able to offer complete business analytics propelled by data-driven business culture.. Key drivers for this market are: Increasing Number of Multi-Structured Data Sources, Growing Importance for Data-Driven Decision-Making. Potential restraints include: Increasing Number of Multi-Structured Data Sources, Growing Importance for Data-Driven Decision-Making. Notable trends are: The Banking, Financial Services, and Insurance Sector Holds a Dominant Position.

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BatchService, Home Ownership Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchservice-home-ownership-data-us-87-million-property-o-batchservice

Home Ownership Data | USA Coverage | 74% Right Party Contact Rate | BatchData

Explore at:
.json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset authored and provided by
BatchService
Area covered
United States of America
Description

BatchData provides comprehensive home ownership data for 87 million owners of residential homes in the US. We specialize in providing accurate contact information for owners of specific properties, trusted by some of the largest real estate companies for our superior capabilities in accurately unmasking owners of properties that may be hidden behind LLCs and corporate veils.

Our home ownership data is commonly used to fuel targeted marketing campaigns, generating real estate insights, powering websites/applications with real estate intelligence, and enriching sales and marketing databases with accurate homeowner contact information and surrounding intelligence to improve segmentation and targeting.

Home ownership data that is linked to a given property includes: - Homeowner Name(s) - Homeowner Cell Phone Number - Homeowner Email Address - Homeowner Mailing Address - Addresses of Properties Owned - Homeowner Portfolio Equity - Total Number of Properties Owned - Property Characteristics of Properties Owned - Homeowner sales, loan, and mortgage information - Property Occupancy Status of Properties Owned - Property Valuation & ARV information of Properties Owned - Ownership Length - Ownership History - Homeowner Age - Homeowner Marital Status - Homeowner Income - and more!

BatchService is both a data and technology company helping companies in and around the real estate ecosystem achieve faster growth. BatchService specializes in providing accurate B2B and B2C contact data for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, consolidate their data providers, and power their products and services.

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