100+ 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
    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.

  2. R

    Real Estate Marketing Services Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 15, 2025
    + more versions
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    Archive Market Research (2025). Real Estate Marketing Services Report [Dataset]. https://www.archivemarketresearch.com/reports/real-estate-marketing-services-59211
    Explore at:
    doc, ppt, pdfAvailable 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 real estate marketing services market is experiencing robust growth, driven by increasing adoption of digital marketing strategies and a competitive landscape demanding innovative approaches to reach potential buyers and sellers. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant growth is fueled by several key factors. Firstly, the rising popularity of online property portals and social media platforms necessitates sophisticated digital marketing strategies. Secondly, the increasing use of data analytics and targeted advertising allows real estate professionals to reach specific demographics with tailored campaigns. Finally, the ongoing demand for reputation management services highlights the importance of building and maintaining a strong online presence. Segmentation analysis reveals that Media Advertising, Search Engine Optimization (SEO), and Reputation Management constitute major service types within the market. Application-wise, Realtors, Brokers, and Developers represent significant consumer segments. The competitive landscape comprises both established marketing agencies specializing in real estate and smaller, niche providers leveraging their individual expertise. This dynamic environment encourages continuous innovation in marketing tactics and fuels market expansion. This growth is not uniform across all segments. While SEO and reputation management maintain steady high demand, the media advertising segment shows a trend towards specialized, targeted campaigns rather than blanket advertising. The geographical distribution of the market reflects global trends in real estate activity, with North America and Europe currently dominating the market share, driven by robust economies and advanced digital infrastructure. However, Asia-Pacific and other emerging markets are expected to witness significant growth in the coming years due to expanding middle classes and increasing real estate investments. The market's evolution necessitates real estate professionals to adapt to changing consumer behaviour and adopt innovative strategies, fostering a constant pursuit of improved marketing techniques and technologies. This dynamic interplay between technological advancements, evolving consumer preferences, and competitive pressures will shape the future trajectory of the real estate marketing services market.

  3. d

    Real Estate Transaction Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
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    BatchService, Real Estate Transaction Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchservice-s-deed-history-real-estate-transaction-data-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's Deed Dataset - Real Estate Transaction Data + Property Transaction Data

    Unlock a wealth of historical real estate insights with BatchData's Deed Dataset. This premium offering provides detailed real estate transaction data, including comprehensive property transaction records with over 15 critical data points. Whether you're analyzing market trends, assessing investment opportunities, or conducting in-depth property research, this dataset delivers the granular information you need.

    Why Choose BatchData?

    At BatchData, we are committed to delivering the most accurate and comprehensive datasets in the industry. Our Deed Dataset exemplifies our dedication to quality and precision:

    • Comprehensive Datasets: As a single-vendor provider, we offer an extensive array of data including property, homeowner, mortgage, listing, valuation, permit, demographic, foreclosure, and contact information. All this is available from one reliable source, streamlining your data acquisition process.

    • Technical Excellence: Our dataset comes with clear documentation, purpose-built APIs, and extensive developer resources. Our technical teams are supported by robust engineering resources to ensure seamless integration and utilization.

    • Tailor-Fit Pricing and Packaging: We understand that different businesses have different needs. That’s why we offer flexible pricing models and practical API metering. You only pay for the data you need, making our solutions scalable and aligned with your business objectives.

    • Unmatched Contact Information Accuracy: We lead the industry with superior right-party contact rates, ensuring you get multiple accurate contact points, including highly reliable phone numbers.

    Choose BatchData for your real estate data needs and experience unparalleled accuracy and flexibility in data solutions.

  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. o

    Zillow Properties Listing Information Dataset

    • opendatabay.com
    .undefined
    Updated Jun 26, 2025
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    Bright Data (2025). Zillow Properties Listing Information Dataset [Dataset]. https://www.opendatabay.com/data/premium/0bdd01d7-1b5b-4005-bb73-345bc710c694
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    .undefinedAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Bright Data
    Area covered
    Urban Planning & Infrastructure
    Description

    Zillow Properties Listing dataset to access detailed real estate listings, including property prices, locations, and features. Popular use cases include market analysis, property valuation, and investment decision-making in the real estate sector.

    Use our Zillow Properties Listing Information dataset to access detailed real estate listings, including property features, pricing trends, and location insights. This dataset is perfect for real estate agents, investors, market analysts, and property developers looking to analyze housing markets, identify investment opportunities, and assess property values.

    Leverage this dataset to track pricing patterns, compare property features, and forecast market trends across different regions. Whether you're evaluating investment prospects or optimizing property listings, the Zillow Properties dataset offers essential information for making data-driven real estate decisions.

    Dataset Features

    • zpid: Unique property identifier assigned by Zillow.
    • city: The name of the city where the property is located.
    • state: The state in which the property is located.
    • homeStatus: Indicates the current status of the property
    • address: The full address of the property, including street, city, and state.
    • isListingClaimedByCurrentSignedInUser: This field shows if the current Zillow user has claimed ownership of the listing.
    • isCurrentSignedInAgentResponsible: This field indicates whether the currently signed-in real estate agent is responsible for the listing.
    • bedrooms: Number of bedrooms in the property.
    • bathrooms: Number of bathrooms in the property.
    • price: Current asking price of the property.
    • yearBuilt: The year the home was originally constructed.
    • streetAddress: Specific street address (usually excludes city/state/zip).
    • zipcode: The postal ZIP code of the property.
    • isCurrentSignedInUserVerifiedOwner: This field indicates if the signed-in user has verified ownership of the property on Zillow.
    • isVerifiedClaimedByCurrentSignedInUser: Indicates whether the user has claimed and verified the listing as the current owner.
    • listingDataSource: The original source of the listing. Important for data lineage and trustworthiness.
    • longitude: The longitudinal geographic coordinate of the property.
    • latitude: The latitudinal geographic coordinate of the property.
    • hasBadGeocode: This indicates whether the geolocation data is incorrect or problematic.
    • streetViewMetadataUrlMediaWallLatLong: A URL or reference to the Street View media wall based on latitude and longitude.
    • streetViewMetadataUrlMediaWallAddress: A similar URL reference to the Street View, but based on the property’s address.
    • streetViewServiceUrl: The base URL to Google Street View or similar services. Enables interactive visuals of the property’s surroundings.
    • livingArea: Total internal living area of the home, typically in square feet.
    • homeType: The category/type of the home.
    • lotSize: The size of the entire lot or land the home is situated on.
    • lotAreaValue: The numerical value representing the lot area is usually tied to a measurement unit.
    • lotAreaUnits: Units in which the lot area is measured (e.g., sqft, acres).
    • livingAreaValue: The numeric value of the property's interior living space.
    • livingAreaUnitsShort: Abbreviated unit for living area (e.g., sqft), useful for compact displays.
    • isUndisclosedAddress: Boolean indicating if the full property address is hidden, typically used for privacy reasons.
    • zestimate: Zillow’s estimated market value of the home, generated via its proprietary model.
    • rentZestimate: Zillow’s estimated rental price per month, is helpful for rental market analysis.
    • currency: Currency used for price, Zestimate, and rent estimate (e.g., USD).
    • hideZestimate: Indicates whether the Zestimate is hidden from public view.
    • dateSoldString: The date when the property was last sold, in string format (e.g., 2022-06-15).
    • taxAssessedValue: The most recent assessed value of the property for tax purposes.
    • taxAssessedYear: The year in which the property was last assessed.
    • country: The country where the property is located.
    • propertyTaxRate: The most recent tax rate.
    • photocount: This column provides a photo count of the property.
    • isPremierBuilder: Boolean indicating whether the builder is listed as a premier (trusted) builder on Zillow.
    • isZillowOwned: Indicates whether the property is owned or managed directly by Zillow.
    • ssid: A unique internal Zillow identifier for the listing (not to be confused with network SSID).
    • hdpUrl: URL to the home’s detail page on Zillow (Home Details Page).
    • tourViewCount: Number of times users have viewed the property tour.
    • hasPublicVideo: This
  6. b

    Real Estate Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Sep 11, 2022
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    Bright Data (2022). Real Estate Dataset [Dataset]. https://brightdata.com/products/datasets/real-estate
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Sep 11, 2022
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Real estate datasets from various websites cover all major real estate data points including: property type, size, location, price, bedrooms, baths, address, history, images, and much more. Popular use cases include: forecast housing demand, analyze price fluctuations, improve customer satisfaction, see past prices to monitor market trends, and more.

  7. f

    LiveOverture | Properties Data | Real Estate Data

    • datastore.forage.ai
    Updated Sep 22, 2024
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    (2024). LiveOverture | Properties Data | Real Estate Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Property%20Listings
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    Dataset updated
    Sep 22, 2024
    Description

    LiveOverture is a reputable property data solutions provider that offers a wealth of information on property listings, market trends, and real estate data. The company's online presence provides insights into the property market, featuring thousands of listings, property sales data, and market analysis.

    By leveraging LiveOverture's online resources, users can gain a deeper understanding of property values, trends, and market conditions, making it an invaluable resource for real estate professionals, investors, and individuals looking to buy, sell, or rent properties.

  8. Commercial Real Estate Data | Global Real Estate Professionals | Work...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-global-real-estate-professional-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Comoros, El Salvador, Burkina Faso, Hong Kong, Netherlands, Marshall Islands, Bolivia (Plurinational State of), Korea (Republic of), Guatemala, Sierra Leone
    Description

    Success.ai’s Commercial Real Estate Data and B2B Contact Data for Global Real Estate Professionals is a comprehensive dataset designed to connect businesses with industry leaders in real estate worldwide. With over 170M verified profiles, including work emails and direct phone numbers, this solution ensures precise outreach to agents, brokers, property developers, and key decision-makers in the real estate sector.

    Utilizing advanced AI-driven validation, our data is continuously updated to maintain 99% accuracy, offering actionable insights that empower targeted marketing, streamlined sales strategies, and efficient recruitment efforts. Whether you’re engaging with top real estate executives or sourcing local property experts, Success.ai provides reliable and compliant data tailored to your needs.

    Key Features of Success.ai’s Real Estate Professional Contact Data

    • Comprehensive Industry Coverage Gain direct access to verified profiles of real estate professionals across the globe, including:
    1. Real Estate Agents: Professionals facilitating property sales and purchases.
    2. Brokers: Key intermediaries managing transactions between buyers and sellers.
    3. Property Developers: Decision-makers shaping residential, commercial, and industrial projects.
    4. Real Estate Executives: Leaders overseeing multi-regional operations and business strategies.
    5. Architects & Consultants: Experts driving design and project feasibility.
    • Verified and Continuously Updated Data

    AI-Powered Validation: All profiles are verified using cutting-edge AI to ensure up-to-date accuracy. Real-Time Updates: Our database is refreshed continuously to reflect the most current information. Global Compliance: Fully aligned with GDPR, CCPA, and other regional regulations for ethical data use.

    • Customizable Data Delivery Tailor your data access to align with your operational goals:

    API Integration: Directly integrate data into your CRM or project management systems for seamless workflows. Custom Flat Files: Receive detailed datasets customized to your specifications, ready for immediate application.

    Why Choose Success.ai for Real Estate Contact Data?

    • Best Price Guarantee Enjoy competitive pricing that delivers exceptional value for verified, comprehensive contact data.

    • Precision Targeting for Real Estate Professionals Our dataset equips you to connect directly with real estate decision-makers, minimizing misdirected efforts and improving ROI.

    • Strategic Use Cases

      Lead Generation: Target qualified real estate agents and brokers to expand your network. Sales Outreach: Engage with property developers and executives to close high-value deals. Marketing Campaigns: Drive targeted campaigns tailored to real estate markets and demographics. Recruitment: Identify and attract top talent in real estate for your growing team. Market Research: Access firmographic and demographic data for in-depth industry analysis.

    • Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 30M Company Profiles 700M Global Professional Profiles

    • Powerful APIs for Enhanced Functionality

      Enrichment API Ensure your contact database remains relevant and up-to-date with real-time enrichment. Ideal for businesses seeking to maintain competitive agility in dynamic markets.

    Lead Generation API Boost your lead generation with verified contact details for real estate professionals, supporting up to 860,000 API calls per day for robust scalability.

    • Use Cases for Real Estate Contact Data
    1. Targeted Outreach for New Projects Connect with property developers and brokers to pitch your services or collaborate on upcoming projects.

    2. Real Estate Marketing Campaigns Execute personalized marketing campaigns targeting agents and clients in residential, commercial, or industrial sectors.

    3. Enhanced Sales Strategies Shorten sales cycles by directly engaging with decision-makers and key stakeholders.

    4. Recruitment and Talent Acquisition Access profiles of highly skilled professionals to strengthen your real estate team.

    5. Market Analysis and Intelligence Leverage firmographic and demographic insights to identify trends and optimize business strategies.

    • What Makes Us Stand Out? >> Unmatched Data Accuracy: Our AI-driven validation ensures 99% accuracy for all contact details. >> Comprehensive Global Reach: Covering professionals across diverse real estate markets worldwide. >> Flexible Delivery Options: Access data in formats that seamlessly fit your existing systems. >> Ethical and Compliant Data Practices: Adherence to global standards for secure and responsible data use.

    Success.ai’s B2B Contact Data for Global Real Estate Professionals delivers the tools you need to connect with the right people at the right time, driving efficiency and success in your business operations. From agents and brokers to property developers and executiv...

  9. b

    Property Owner Data | USA Coverage

    • data.bigdbm.com
    Updated Apr 17, 2023
    + more versions
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    BIGDBM (2023). Property Owner Data | USA Coverage [Dataset]. https://data.bigdbm.com/products/bigdbm-us-commercial-property-real-estate-data-bigdbm
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    Dataset updated
    Apr 17, 2023
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States
    Description

    The US Commercial Property/Real Estate file has 30 million+ non-residential properties which include property characteristics, site details, purchase details, tax details, and ownership information.

  10. Donuka: USA Nationwide Property Data (155M+ Properties)

    • datarade.ai
    Updated Dec 13, 2006
    + more versions
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    Donuka (2006). Donuka: USA Nationwide Property Data (155M+ Properties) [Dataset]. https://datarade.ai/data-products/donuka-usa-nationwide-property-data-155m-properties-donuka
    Explore at:
    .json, .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Dec 13, 2006
    Dataset authored and provided by
    Donuka
    Area covered
    United States
    Description

    Donuka offers a simple, reliable property data solution to power innovation and create seamless business solutions for companies of all sizes. Our data covers more than 155+ million properties spread out across the U.S. that can be accessed in bulk-file format or through our APIs.

    We offer access to data ONLY in selected states and counties

    DATA SOURCES:

    1. ONLY state sources (city/county/state administration, federal agencies, ministries, etc.). We DO NOT use unverified databases
    2. Over 2300 sources. We use even the smallest sources, because they contain valuable data. This allows us to provide our users with the most complete data

    DATA RELEVANCE:

    1. Our data is updated daily, weekly, monthly depending on the sources
    2. We collect, process and store all data, regardless of their relevance. Historical data is also valuable

    DATA TYPES:

    1. Specifications
    2. Owners
    3. Permits
    4. Sales
    5. Inspections
    6. Violations
    7. Assessed values
    8. Taxes
    9. Risks
    10. Foreclosures
    11. Property Tax Liens
    12. Deed Restrictions

    NUMBERS:

    1. 2300+ data sources in total
    2. 4 billion records (listed in the "data types" block above) in total
    3. 2 million new records every day

    DATA USAGE:

    1. Property check, investigation (even the smallest events are stored in our database)
    2. Prospecting (more than 100 parameters to find the required records)
    3. Tracking (our data allows us to track any changes)
  11. Global Real Estate CMA Software Market Size By Functionality, By Deployment...

    • verifiedmarketresearch.com
    Updated Apr 19, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Real Estate CMA Software Market Size By Functionality, By Deployment Model, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/real-estate-cma-software-market/
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    Dataset updated
    Apr 19, 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 - 2031
    Area covered
    Global
    Description

    Real Estate CMA Software Market size was valued at USD 5.1 Billion in 2024 and is projected to reach USD 8.62 Billion by 2031, growing at a CAGR of 7.1% during the forecasted period 2024 to 2031

    Global Real Estate CMA Software Market Drivers

    Growing Need for Data-driven Decision-Making: Real estate agents are depending more and more on analytics and data to help them make wise choices. With the use of CMA software, which offers thorough data analysis and insights into comparable sales, market trends, and property values, agents and brokers can more successfully negotiate transactions, set listing prices, and evaluate properties with accuracy.

    Requirement for a Competitive Advantage: In the current competitive real estate market, brokerages and agents look for solutions that set them apart from rivals and improve the value they offer to clients. Agents can dazzle customers and acquire more listings by using the sophisticated features of CMA software to create professional-looking comparative market assessments, customisable presentations, and interactive reports.

    Growing Significance of Engaging Clients: Gaining trust, cultivating relationships, and closing deals in the real estate sector depend on offering clients individualized and engaging experiences. Through visually appealing presentations, interactive maps, and dynamic charts that provide market data and property information in an engaging and understandable manner, agents may effectively engage clients with the help of CMA software.

    Simplifying the Listing Presentation Process: Real estate marketing and client acquisition heavily depend on the preparation and delivery of listing presentations. With the help of CMA software, agents can rapidly create professional-looking reports, add branding elements, and show prospective sellers the features, amenities, and market comparisons of their properties. The process of making bespoke listing presentations is also made more efficient and automated.

    Integration with Various Data Sources: To obtain thorough and current market data, CMA software integrates with a variety of data sources, such as MLS (Multiple Listing Service) databases, property tax records, public documents, and third-party data providers. The accuracy and reliability of CMAs are increased by this integration, which gives agents access to reliable property information, historical sales data, area demographics, and market statistics.

    Efficiency and Time Savings: CMA software saves agents time and effort while creating market studies by automating repetitive operations including data collecting, analysis, and report preparation. CMA software increases efficiency by optimizing workflow procedures and decreasing manual data input, freeing up agents to concentrate more on interacting with clients, generating leads, and completing sales.

    Use of sophisticated Technologies: The real estate sector is changing as a result of the use of sophisticated technologies including machine learning (ML), artificial intelligence (AI), and predictive analytics. CMA software helps agents predict market trends, pricing swings, and changes in property worth by using AI and ML algorithms to scan massive information, spot patterns, and produce predictive insights.

    Remote Work and Virtual Collaboration: The COVID-19 epidemic has hastened the trend toward remote work and virtual collaboration, which has raised demand for digital solutions that facilitate communication and cooperation from a distance. Agents can make virtual listing presentations, electronically communicate information with clients, and work in real-time team collaborations regardless of their physical locations thanks to CMA software.

    Accuracy and Regulatory Compliance: Real estate transactions must adhere to a number of rules and regulations, such as ethical norms, disclosure legislation, and fair housing laws. By offering precise and impartial market evaluations and assisting agents in avoiding the possible legal ramifications of overpricing or underpricing properties, CMA software helps them maintain compliance.

    Globalization and Market Expansion: The need for CMA software with international capabilities is driven by the growth of real estate brokerages into new geographic areas and the globalization of real estate markets. Agents can serve clients in a variety of global marketplaces thanks to multilingual support, currency conversion, and localization tools, which facilitate cross-border transactions and global expansion strategies.

  12. f

    LockStock | Properties Data | Real Estate Data

    • datastore.forage.ai
    Updated Sep 24, 2024
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    (2024). LockStock | Properties Data | Real Estate Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Financial%20Data
    Explore at:
    Dataset updated
    Sep 24, 2024
    Description

    LockStock is a financial services company that provides data on shares, commodities, and other market-related information. The company is known for its advanced algorithms that help investors make informed decisions about their portfolios.

    As the leading provider of financial data, LockStock aggregates information from various sources to offer a one-stop-shop for investors, analysts, and other financial professionals. The company's vast repository of data is meticulously curated to provide accurate and reliable insights on market trends, company performance, and global economic conditions.

  13. f

    TWT Property | Properties Data | Real Estate Data

    • datastore.forage.ai
    Updated Sep 22, 2024
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    (2024). TWT Property | Properties Data | Real Estate Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Property%20Listings
    Explore at:
    Dataset updated
    Sep 22, 2024
    Description

    TWT Property is a leading provider of real estate data and insights. As a renowned Australian property group, they have established themselves as a trusted source of information for the industry. Their vast database consists of property listings, market trends, and sales data, giving users a comprehensive view of the Australian real estate market.

    By tapping into TWT Property's data, users can gain valuable insights into the Australian real estate landscape. With a strong focus on providing accurate and up-to-date information, TWT Property's data is an essential tool for property developers, investors, and agents.

  14. T

    Technology in Real Estate Industry Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 1, 2025
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    Data Insights Market (2025). Technology in Real Estate Industry Report [Dataset]. https://www.datainsightsmarket.com/reports/technology-in-real-estate-industry-13094
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 1, 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 Technology in Real Estate (TRE) market, valued at $10.54 billion in 2025, is projected to experience robust growth, driven by increasing adoption of cloud-based solutions, the demand for enhanced data analytics for better decision-making, and the need for improved operational efficiency across the real estate lifecycle. The Compound Annual Growth Rate (CAGR) of 10.32% from 2025 to 2033 indicates a significant expansion, reaching an estimated market value exceeding $27 billion by 2033. Key market drivers include the rising adoption of proptech solutions such as property management software (PMS), customer relationship management (CRM) systems, and business intelligence (BI) tools. Furthermore, the increasing urbanization and the growing need for efficient property management in both residential and commercial sectors are fueling market expansion. While data privacy concerns and the initial cost of implementation might pose some restraints, the long-term benefits of increased productivity and reduced operational costs far outweigh these challenges. The market is segmented by deployment (on-premise, cloud), solution (documentation, accounting, compliance, BI, ERP, CRM, asset management, other), and end-user (residential, commercial). Cloud-based solutions are expected to dominate due to their scalability, accessibility, and cost-effectiveness. The North American market currently holds a significant share, followed by Europe and Asia Pacific, with the latter poised for rapid growth. Leading players like IBM, MRI Software, RealPage, Salesforce, and Yardi Systems are actively shaping the market landscape through continuous innovation and strategic acquisitions. The competitive intensity is high, with companies focusing on developing sophisticated solutions, forging strategic partnerships, and expanding their global presence. The integration of artificial intelligence (AI), machine learning (ML), and blockchain technology is also significantly impacting the market, enhancing automation, security, and transparency in real estate transactions and management. The increasing focus on sustainable and green building practices further fuels the demand for technology that supports environmental monitoring and efficiency optimization. The long-term outlook for the TRE market remains exceptionally positive, driven by technological advancements and the ongoing digital transformation within the real estate industry. Technology in Real Estate Industry: A Comprehensive Market Report (2019-2033) This comprehensive report provides an in-depth analysis of the rapidly evolving Technology in Real Estate Industry, projecting a market value exceeding $XXX million by 2033. The study covers the historical period (2019-2024), the base year (2025), and forecasts until 2033, offering crucial insights for investors, industry professionals, and technology providers. We analyze key market trends, segment performance, leading players, and emerging opportunities within this dynamic sector. Recent developments include: September 2022: HDFC Capital, the subsidiary of the Housing Development Finance Corporation (HDFC), and Invest India, the Indian government's arm to promote investment, jointly announced the launch of a proptech platform HDFC Real Estate Tech Innovators 2022. Launched under HDFC Capital's HDFC Affordable Real Estate and Technology (H@ART) platform, it will identify, recognize and award innovations in fintech, the sales tech, construction tech, and sustainability tech sectors., July 2022: The DMZ announced its partnership with GroundBreak Ventures to launch applications for a specialized PropTech incubator, fuelling the potential for startups to enhance the real estate sector and build advanced enterprises., March 2022: LaSalle Investment Management (LaSalle) announced that it selected RealBlocks to cover its USD 77 billion global real estate business. RealBlocks would handle investor onboarding, KYC/AML, and e-signing of documents to facilitate an easy, digital experience for subscription into all of LaSalle's institutional funds.. Key drivers for this market are: Technologically Transforming the Real Estate Sector and Increasing Demand to Manage Projects, Increasing Adoption of Cloud-based Solution. Potential restraints include: High Costs Associated with IT Solutions. Notable trends are: Cloud Type of Deployment is Expected to Account for a Significant Share.

  15. f

    LandSearch | Properties Data | Real Estate Data

    • datastore.forage.ai
    Updated Sep 22, 2024
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    (2024). LandSearch | Properties Data | Real Estate Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Property%20Listings
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    Dataset updated
    Sep 22, 2024
    Description

    LandSearch is a renowned organization specializing in property listings and real estate data. With its extensive database, the company provides a one-stop-shop for individuals seeking accurate and reliable information on properties for sale or rent. By aggregating data from various sources, LandSearch offers a vast array of listings, including residential, commercial, and industrial properties.

    As a leading provider of real estate information, LandSearch has established itself as a trusted source for property enthusiasts, investors, and professionals. The company's dedication to accuracy and quality has earned it a reputation for being a go-to destination for those seeking comprehensive property data. With its extensive reach and user-friendly interface, LandSearch has become an indispensable resource for those navigating the world of real estate.

  16. c

    Redfin usa properties dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 13, 2025
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    Crawl Feeds (2025). Redfin usa properties dataset [Dataset]. https://crawlfeeds.com/datasets/redfin-usa-properties-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Area covered
    United States
    Description

    Explore the Redfin USA Properties Dataset, available in CSV format. This extensive dataset provides valuable insights into the U.S. real estate market, including detailed property listings, prices, property types, and more across various states and cities. Perfect for those looking to conduct in-depth market analysis, real estate investment research, or financial forecasting.

    Key Features:

    • Comprehensive Property Data: Includes essential details such as listing prices, property types, square footage, and the number of bedrooms and bathrooms.
    • Geographic Coverage: Encompasses a wide range of U.S. states and cities, providing a broad view of the national real estate market.
    • Historical Trends: Analyze past market data to understand price movements, regional differences, and market trends over time.
    • Geo-Location Details: Enables spatial analysis and mapping by including precise geographical coordinates of properties.

    Who Can Benefit From This Dataset:

    • Real Estate Investors: Identify lucrative opportunities by analyzing property values, market trends, and regional price variations.
    • Market Analysts: Gain a deeper understanding of the U.S. housing market dynamics to inform research and reporting.
    • Data Scientists and Researchers: Leverage detailed real estate data for modeling, urban studies, or economic analysis.
    • Financial Analysts: Utilize the dataset for financial modeling, helping to predict market behavior and assess investment risks.

    Download the Redfin USA Properties Dataset to access essential information on the U.S. housing market, ideal for professionals in real estate, finance, and data analytics. Unlock key insights to make informed decisions in a dynamic market environment.

    Looking for deeper insights or a custom data pull from Redfin?
    Send a request with just one click and explore detailed property listings, price trends, and housing data.
    🔗 Request Redfin Real Estate Data

  17. c

    Redfin properties dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 13, 2025
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    Crawl Feeds (2025). Redfin properties dataset [Dataset]. https://crawlfeeds.com/datasets/redfin-properties-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Our dataset features comprehensive housing market data, extracted from 250,000 records sourced directly from Redfin USA. Our Crawl Feeds team utilized proprietary in-house tools to meticulously scrape and compile this valuable data.

    Key Benefits of Our Housing Market Data:

    • In-Depth Market Analysis: Gain insights into the real estate market with up-to-date data on recently sold properties.

    • Price Trend Identification: Track and analyze price trends across different cities.

    • Accurate Price Estimation: Estimate property values based on key factors such as area, number of beds and baths, square footage, and more.

    • Detailed Real Estate Statistics: Access detailed statistics segmented by zip code, area, and state.

    Unlock the Power of Redfin Data for Real Estate Professionals

    Leveraging our Redfin properties dataset allows real estate professionals to make data-driven decisions. With detailed insights into property listings, sales history, and pricing trends, agents and investors can identify opportunities in the market more effectively. The data is particularly useful for comparing neighborhood trends, understanding market demand, and making informed investment decisions.

    Enhance Your Real Estate Research with Custom Filters and Analysis

    Our Redfin dataset is not only extensive but also customizable, allowing users to apply filters based on specific criteria such as property type, listing status, and geographic location. This flexibility enables researchers and analysts to drill down into the data, uncovering patterns and insights that can guide strategic planning and market entry decisions. Whether you're tracking the performance of single-family homes or exploring multi-family property trends, this dataset offers the depth and accuracy needed for thorough analysis.

    Looking for deeper insights or a custom data pull from Redfin?
    Send a request with just one click and explore detailed property listings, price trends, and housing data.
    🔗 Request Redfin Real Estate Data

  18. s

    Real Estate Data Extract Billing 2020

    • data.stlouisco.com
    • hamhanding-dcdev.opendata.arcgis.com
    • +4more
    Updated Oct 23, 2020
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    Saint Louis County GIS Service Center (2020). Real Estate Data Extract Billing 2020 [Dataset]. https://data.stlouisco.com/datasets/ffbd816e3d3f423a80ebf6bd561c09de
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    Dataset updated
    Oct 23, 2020
    Dataset authored and provided by
    Saint Louis County GIS Service Center
    Description

     Primary Parcel file containing primary owner and land information; Addn file containing drawing vectors for dwelling records; Additional Address file containing any additional addresses that exist for a parcel; Assessment file containing assessed value-related data; Appraisal file containing appraised value-related data; Commercial file containing primary commercial data; Commercial Apt containing commercial apartment data; Commercial Interior Exterior data Dwelling file Entrance data containing data from appraisers' visits; Other Buildings and Yard Improvements Sales File Tax Rate File for the current billing cycle by taxing district authority and property class; and, Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included: Data Dictionary PDF; and, St Louis County Rate Book for the current tax billing cycle.

  19. c

    Real Estate Data

    • s.cnmilf.com
    • data.townofcary.org
    • +1more
    Updated May 17, 2025
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    Cary (2025). Real Estate Data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/real-estate-data
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    Dataset updated
    May 17, 2025
    Dataset provided by
    Cary
    Description

    This dataset is created by the Town of Cary GIS Group. It contains data from the western portion of Wake County, the eastern portion of Chatham County, and the southern portion of Durham County. It has been modified from the original sources to act as one layer for use by the Town of Cary.This file is updated once a month from the respective sources. Please refer to each Counties' data for the latest information: Wake County Durham County Chatham County

  20. Real Estate Services Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Real Estate Services Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-real-estate-services-market
    Explore at:
    csv, pdf, 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

    Real Estate Services Market Outlook



    The global real estate services market size is projected to reach approximately USD 15.2 trillion by 2032, growing at a compound annual growth rate (CAGR) of 5.1% from USD 9.5 trillion in 2023. This growth is driven by several factors, including increasing urbanization, rising disposable incomes, and growing demand for both residential and commercial properties. The market is benefiting significantly from technological advancements that streamline property management and investment processes, making them more accessible and efficient for a wider range of end-users.



    One of the primary growth factors for the real estate services market is the rapid urbanization occurring across the globe. As more people migrate to urban centers in search of better employment opportunities and enhanced quality of life, the demand for residential as well as commercial properties is increasing. This urban shift is not only limited to developed countries but is also highly pronounced in developing nations, where burgeoning middle-class populations are driving demand for modern housing and commercial spaces. Additionally, government initiatives focused on urban development and smart cities are further propelling the growth of the real estate services market.



    Rising disposable incomes and changing lifestyle preferences are also contributing to the growth of the real estate services market. As individuals and families attain higher income levels, their purchasing power increases, enabling them to invest in more luxurious and better-located properties. This trend is especially evident in emerging economies, where economic growth is opening up new opportunities for property investment. Furthermore, the increased availability of mortgage options and favorable interest rates are making it easier for people to invest in both residential and commercial real estate, thus driving market expansion.



    Technological advancements are another significant growth factor in the real estate services market. The integration of advanced technologies such as artificial intelligence, big data analytics, and blockchain in real estate transactions and property management is revolutionizing the industry. These technologies are enhancing the efficiency, transparency, and accessibility of real estate services. For instance, virtual tours and augmented reality are becoming popular tools for property viewing, making it easier for buyers and investors to make informed decisions. Additionally, online platforms are simplifying the property search and transaction process, thereby expanding the market's reach to a broader audience.



    The role of IT in Real Estate has become increasingly significant as the industry embraces digital transformation. IT solutions are being leveraged to enhance operational efficiency, improve customer experiences, and provide data-driven insights. For instance, property management software and customer relationship management (CRM) systems are streamlining processes and enabling real estate firms to manage their portfolios more effectively. Additionally, the use of data analytics is helping firms to better understand market trends, customer preferences, and investment opportunities. As technology continues to evolve, the integration of IT in Real Estate is expected to drive further innovation and growth in the sector.



    From a regional perspective, the Asia Pacific region is expected to witness substantial growth in the real estate services market. The region's rapid economic development, coupled with increasing urbanization and industrialization, is driving demand for both residential and commercial properties. Countries such as China, India, and Southeast Asian nations are experiencing significant investments in real estate, supported by favorable government policies and a thriving construction sector. North America and Europe are also key players in the market, with steady demand for real estate services driven by economic stability and robust real estate infrastructure.



    Service Type Analysis



    The real estate services market is broadly segmented into various service types, including property management, brokerage services, real estate investment, valuation services, and others. Property management services are crucial for maintaining and enhancing the value of real estate assets. These services encompass a range of activities such as rent collection, maintenance, tenant management, and compliance with regulations. The demand for p

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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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