Note:- Only publicly available real estate data can be worked upon.

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Abstract

Historical tax assessment data for all U.S. states, the U.S. Virgin Islands, Guam, and Washington, D.C. Each table represents a previous edition of CoreLogic's tax assessment data.

The CoreLogic Smart Data Platform (SDP) Historical Property data was formerly known as the CoreLogic Tax History data. The CoreLogic SDP Historical Property data is an enhanced version of the CoreLogic Tax History data. The CoreLogic SDP Historical Property data contains almost all of the variables that were included in the CoreLogic Tax History data, as well as additional property-level characteristics.

Methodology

In the United States, parcel data is public record information that describes a division of land (also referred to as "property" or "real estate"). Each parcel is given a unique identifier called an Assessor’s Parcel Number or APN. The two principal types of records maintained by county government agencies for each parcel of land are deed and property tax records. When a real estate transaction takes place (e.g. a change in ownership), a property deed must be signed by both the buyer and seller. The deed will then be filed with the County Recorder’s offices, sometimes called the County Clerk-Recorder or other similar title. Property tax records are maintained by County Tax Assessor’s offices; they show the amount of taxes assessed on a parcel and include a detailed description of any structures or buildings on the parcel, including year built, square footages, building type, amenities like a pool, etc. There is not a uniform format for storing parcel data across the thousands of counties and county equivalents in the U.S.; laws and regulations governing real estate/property sales vary by state. Counties and county equivalents also have inconsistent approaches to archiving historical parcel data.

To fill researchers’ needs for uniform parcel data, CoreLogic collects, cleans, and normalizes public records that they collect from U.S. County Assessor and Recorder offices. CoreLogic augments this data with information gathered from other public and non-public sources (e.g., loan issuers, real estate agents, landlords, etc.). The Stanford Libraries has purchased bulk extracts from CoreLogic’s parcel data, including mortgage, owner transfer, pre-foreclosure, and historical and contemporary tax assessment data. Data is bundled into pipe-delimited text files, which are uploaded to Data Farm (Redivis) for preview, extraction and analysis.

For more information about how the data was prepared for Redivis, please see CoreLogic 2024 GitLab.

Usage

Each table contains an archived snapshot of the property data, roughly corresponding to the following assessed years:

• Historical Property 1 = 2022-2023
• Historical Property 2 = 2021-2022
• Historical Property 3 = 2020-2021
• Historical Property 4 = 2019-2020
• Historical Property 5 = 2018-2019
• Historical Property 6 = 2017-2018
• Historical Property 7 = 2016-2017
• Historical Property 8 = 2015-2016
• Historical Property 9 = 2014-2015
• Historical Property 10 = 2013-2014
• Historical Property 11 = 2012-2013
• Historical Property 12 = 2011-2012
• Historical Property 13 = 2010-2011
• Historical Property 14 = 2009-2010
• Historical Property 15 = 2008-2009

%3C!-- --%3E

Users can check theASSESSED_YEAR variable to confirm the year of assessment.

Roughly speaking, the tables use the following census geographies:

• 2020 Census Tract: Historical Property 1-2
• 2010 Census Tract: Historical Property 3 – 12
• 2000 Census Tract: Historical Property 13 – 15

%3C!-- --%3E

The Property, Mortgage, Owner Transfer, Historical Property and Pre-Foreclosure data can be linked on the CLIP, a unique identification number assigned to each property.

For more information about included variables, please see **core_logic_sdp_historical_property_data_dictionary_2024.txt **and Historical Property_v3.xlsx.

Under Supporting files, users can also find record counts per FIPS code for each edition of the Historical Property data.

For more information about how the CoreLogic Smart Data Platform: Historical Property data compares to legacy data, please see core_logic_legacy_content_mapping.pdf.

Bulk Data Access

Data access is required to view this section.

In the realm of real estate data solutions, BatchData Property Data Search API emerges as a technical marvel, tailored for product and engineering leadership seeking robust and scalable solutions. This purpose-built API seamlessly integrates diverse datasets, offering over 600 data points, to provide a holistic view of property characteristics, valuation, homeowner information, listing data, county assessor details, photos, and foreclosure information. With state-of-the-art infrastructure and performance features, BatchData sets the standard for efficiency, reliability, and developer satisfaction.

Unraveling the Technical Prowess of BatchData Property Data Search API:

State-of-the-Art Infrastructure: At the heart of BatchData lies a state-of-the-art infrastructure that leverages the latest technologies available. Our systems are engineered to handle increased loads and growing datasets with ease, ensuring optimal performance without significant degradation. This commitment to technological advancement ensures that our data infrastructure and API systems operate at peak efficiency, even in the face of evolving demands and complexities.

Integration Capabilities: BatchData boasts integration capabilities that are second to none, thanks to our innovative data lake house architecture. This architecture empowers us to seamlessly integrate our data with any data platforms or pipelines in a matter of minutes. Whether it's connecting with existing data systems, third-party applications, or internal pipelines, our API offers limitless integration possibilities, enabling product and engineering teams to unlock the full potential of property data with minimal effort.

Developer Documentation: One of the hallmarks of BatchData is our clear and comprehensive developer documentation, which developers love. We understand the importance of providing developers with the resources they need to integrate our API seamlessly into their projects. Our documentation offers detailed guides, code samples, API reference materials, and best practices, empowering developers to hit the ground running and leverage the full capabilities of BatchData with confidence.

Performance Features: BatchData Property Search API is engineered for performance, delivering lightning-fast response times and seamless scalability. Our API is designed to efficiently handle increased loads and growing datasets, ensuring that users experience minimal latency and maximum reliability. Whether it's retrieving property data, conducting complex queries, or accessing real-time updates, our API delivers exceptional performance, empowering product and engineering teams to build high-performance applications and systems with ease. BatchData's APIs work for both residential real estate data and commercial real estate data.

Common Use Cases for BatchData Property Data Search API:

Powering Data-Driven Applications: Product and engineering teams can leverage BatchData Property Data Search API to power data-driven applications tailored for the real estate industry. Whether it's building real estate websites, mobile applications, or internal tools, our API offers comprehensive property data that can drive informed decision-making, enhance user experiences, and streamline operations.

Enabling Advanced Analytics: With BatchData, product and engineering leaders can unlock the power of advanced analytics and reporting capabilities. Our API provides access to rich property data, enabling analysts and researchers to uncover insights, identify trends, and make data-driven recommendations with confidence. Whether it's analyzing market trends, evaluating investment opportunities, or conducting competitive analysis, BatchData empowers teams to derive actionable insights from vast property datasets.

Optimizing Data Infrastructure: BatchData Property Data Search API can play a pivotal role in optimizing data infrastructure within organizations. By seamlessly integrating our API with existing data platforms and pipelines, product and engineering teams can streamline data workflows, improve data accessibility, and enhance overall data infrastructure efficiency. Our API's integration capabilities and performance features ensure that organizations can leverage property data seamlessly across their data ecosystem, driving operational excellence and innovation.

Conclusion: BatchData Property Data Search API stands at the forefront of real estate data solutions, offering product and engineering leaders a comprehensive, scalable, and high-performance API for accessing property data. With state-of-the-art infrastructure, seamless integration capabilities, clear developer documentation, and exceptional performance features, BatchData empowers teams to build data-driven applications, optimize data infrastructure, and unlock actionable insights with ease. As the real estate industry continues to evolve, BatchData remains committed to delivering innovative sol...

Abstract

The Owner Transfer and Mortgage data covers over 450 million properties, and includes over 50 years of sales history. The tables were generated in June 2024, and cover all U.S. states, the U.S. Virgin Islands, Guam, and Washington, D.C.

The Owner Transfer data provides historical information about property sales and ownership-related transactions, including full, nominal, and quitclaim transactions (involving a change in title/ownership). It contains comprehensive property and transaction information, such as property characteristics, current ownership, transaction history, title company, cash purchase/foreclosure/resale/short sale indicators, and buyer information.

The Mortgage data provides historical information at the mortgage level, including purchase, refinance, equity, as well as details associated with each transaction, such as lender, loan amount, loan date, interest rate, etc. Mortgage details include mortgage amount, type of loan (conventional, FHA, VHA), mortgage rate type, mortgage purpose (cash out first, consolidation, standalone subordinate), mortgage ARM features, and mortgage indicators such as fixed-rate, conforming loan, construction loan, and private party. The Mortgage data also includes subordinate mortgage types, rate details, and lender details (NMLS ID, Loan Company, Loan Officers).

The CoreLogic Smart Data Platform (SDP) Owner Transfer and Mortgage data was formerly known as the CoreLogic Deed data. The CoreLogic Deed data contained both owner transfer and mortgage information. In the CoreLogic Smart Data Platform (SDP), this data was separated into two tables: Owner Transfer and Mortgage. Between the two tables, the CoreLogic Smart Data Platform (SDP) Owner Transfer and Mortgage data contains almost all of the variables that were included in the CoreLogic Deed data. Further, each CoreLogic Smart Data Platform (SDP) table is augmented with additional owner transfer and mortgage characteristics.

Methodology

In the United States, parcel data is public record information that describes a division of land (also referred to as "property" or "real estate"). Each parcel is given a unique identifier called an Assessor’s Parcel Number or APN. The two principal types of records maintained by county government agencies for each parcel of land are deed and property tax records. When a real estate transaction takes place (e.g. a change in ownership), a property deed must be signed by both the buyer and seller. The deed will then be filed with the County Recorder’s offices, sometimes called the County Clerk-Recorder or other similar title. Property tax records are maintained by County Tax Assessor’s offices; they show the amount of taxes assessed on a parcel and include a detailed description of any structures or buildings on the parcel, including year built, square footages, building type, amenities like a pool, etc. There is not a uniform format for storing parcel data across the thousands of counties and county equivalents in the U.S.; laws and regulations governing real estate/property sales vary by state. Counties and county equivalents also have inconsistent approaches to archiving historical parcel data.

To fill researchers’ needs for uniform parcel data, CoreLogic collects, cleans, and normalizes public records that they collect from U.S. County Assessor and Recorder offices. CoreLogic augments this data with information gathered from other public and non-public sources (e.g., loan issuers, real estate agents, landlords, etc.). The Stanford Libraries has purchased bulk extracts from CoreLogic’s parcel data, including mortgage, owner transfer, pre-foreclosure, and historical and contemporary tax assessment data. Data is bundled into pipe-delimited text files, which are uploaded to Data Farm (Redivis) for preview, extraction and analysis.

For more information about how the data was prepared for Redivis, please see CoreLogic 2024 GitLab.

Usage

The Property, Mortgage, Owner Transfer, Historical Property and Pre-Foreclosure data can be linked on the CLIP, a unique identification number assigned to each property.

Mortgage records can be linked to a transaction using the MORTGAGE_COMPOSITE_TRANSACTION_ID.

For more information about included variables, please see:

• core_logic_sdp_owner_transfer_data_dictionary_2024.txt
• core_logic_sdp_mortgage_data_dictionary_2024.txt
• Mortgage_v3.xlsx
• Owner Transfer_v3.xlsx

%3C!-- --%3E

For a count of records per FIPS code, please see core_logic_sdp_owner_transfer_counts_2024.txt and core_logic_sdp_mortgage_counts_2024.txt.

For more information about how the CoreLogic Smart Data Platform: Owner Transfer and Mortgage data compares to legacy data, please see core_logic_legacy_content_mapping.pdf.

Bulk Data Access

Data access is required to view this section.

The Property Intelligence Platform market is experiencing robust growth, driven by increasing demand for data-driven decision-making in the real estate sector. Technological advancements, such as AI and machine learning, are enhancing the capabilities of these platforms, providing more accurate and insightful property data analysis. This allows real estate professionals to make informed decisions regarding investments, valuations, risk assessment, and portfolio management. The market size in 2025 is estimated at $5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several factors, including the increasing adoption of cloud-based solutions, the growing need for efficient property management, and the expansion of the global real estate market. The rise of PropTech and the integration of various data sources, such as public records, transactional data, and market analytics, are further contributing to this expansion. The competitive landscape is highly fragmented, with a mix of established players and emerging startups. Key players like Yardi, VTS, and CoreLogic are leveraging their existing market presence and expertise to maintain their market share. However, agile startups are innovating with advanced analytical tools and specialized solutions, catering to niche market segments. Geographical expansion, particularly in emerging economies with rapidly growing real estate sectors, presents significant opportunities for both established and new entrants. The market's future growth will likely be shaped by the ongoing integration of data analytics, the development of more sophisticated predictive models, and the increasing adoption of these platforms by smaller real estate firms. The continued focus on enhancing data security and privacy will also play a crucial role in shaping the market's trajectory.

The Property Intelligence Platform (PIP) market is experiencing robust growth, driven by the increasing need for data-driven decision-making in the real estate sector. The market's expansion is fueled by several key factors, including the rising adoption of cloud-based solutions, advancements in big data analytics, and the growing demand for accurate property valuations and risk assessments. Technological innovations like AI and machine learning are enhancing the capabilities of PIPs, providing more sophisticated insights into property values, market trends, and investment opportunities. This translates into improved efficiency for real estate professionals, enabling faster deal closures, better risk management, and more informed investment strategies. The competitive landscape is dynamic, with established players like Yardi and CoreLogic alongside innovative startups constantly striving for market share. This competition fosters innovation and drives down costs, benefiting end-users across the real estate spectrum. We estimate the current market size to be approximately $5 billion in 2025, growing at a compound annual growth rate (CAGR) of 15% through 2033. This growth is expected across various segments including commercial real estate, residential real estate, and property management, with North America and Europe representing the largest market shares initially, followed by a steady expansion into Asia-Pacific and other emerging markets. The significant growth trajectory of the PIP market is further reinforced by the increasing complexity of real estate transactions and the need for comprehensive due diligence. Accurate and timely property information is critical for investors, lenders, and developers to mitigate risk and make sound investment choices. The integration of various data sources, including public records, satellite imagery, and market analytics, is empowering PIPs to deliver comprehensive, actionable intelligence. This holistic approach is transforming how real estate professionals operate, moving away from traditional, less efficient methods. The ongoing adoption of these platforms is expected to continue across different property types and geographical regions, further solidifying their role in the future of the real estate industry. The presence of numerous companies underscores a competitive and innovative environment, promising continuous improvements in platform capabilities and accessibility.

Abstract

Tax assessment data for all U.S. states, the U.S. Virgin Islands, Guam, and Washington, D.C., as of June 2024.

The CoreLogic Smart Data Platform (SDP) Property data was formerly known as the CoreLogic Tax data. The CoreLogic SDP Property data is an enhanced version of the CoreLogic Tax data. The CoreLogic SDP Property data contains almost all of the variables that were included in the CoreLogic Tax data, and its records are augmented with additional property-level characteristics.

Methodology

In the United States, parcel data is public record information that describes a division of land (also referred to as "property" or "real estate"). Each parcel is given a unique identifier called an Assessor’s Parcel Number or APN. The two principal types of records maintained by county government agencies for each parcel of land are deed and property tax records. When a real estate transaction takes place (e.g. a change in ownership), a property deed must be signed by both the buyer and seller. The deed will then be filed with the County Recorder’s offices, sometimes called the County Clerk-Recorder or other similar title. Property tax records are maintained by County Tax Assessor’s offices; they show the amount of taxes assessed on a parcel and include a detailed description of any structures or buildings on the parcel, including year built, square footages, building type, amenities like a pool, etc. There is not a uniform format for storing parcel data across the thousands of counties and county equivalents in the U.S.; laws and regulations governing real estate/property sales vary by state. Counties and county equivalents also have inconsistent approaches to archiving historical parcel data.

To fill researchers’ needs for uniform parcel data, CoreLogic collects, cleans, and normalizes public records that they collect from U.S. County Assessor and Recorder offices. CoreLogic augments this data with information gathered from other public and non-public sources (e.g., loan issuers, real estate agents, landlords, etc.). The Stanford Libraries has purchased bulk extracts from CoreLogic’s parcel data, including mortgage, owner transfer, pre-foreclosure, and historical and contemporary tax assessment data. Data is bundled into pipe-delimited text files, which are uploaded to Data Farm (Redivis) for preview, extraction and analysis.

For more information about how the data was prepared for Redivis, please see CoreLogic 2024 GitLab.

Usage

The Property, Mortgage, Owner Transfer, Historical Property and Pre-Foreclosure data can be linked on the CLIP, a unique identification number assigned to each property.

Census tracts are based on the 2020 census.

For more information about included variables, please see **core_logic_sdp_property_data_dictionary_2024.txt **and Property_v3.xlsx.

For a count of records per FIPS code, please see core_logic_sdp_property_counts_2024.txt.

For more information about how the CoreLogic Smart Data Platform: Property data compares to legacy data, please see core_logic_legacy_content_mapping.pdf.

Bulk Data Access

Data access is required to view this section.

The Property Intelligence Platform market is experiencing robust growth, driven by increasing demand for data-driven decision-making in the real estate sector. The market's expansion is fueled by several key factors: the rising adoption of cloud-based solutions offering scalability and accessibility; the increasing need for sophisticated analytics to optimize investment strategies amongst both SMEs and large enterprises; and the proliferation of readily available data sources enriching the insights generated by these platforms. Technological advancements, such as AI and machine learning integration, further enhance the market's capabilities, enabling predictive analytics and improved risk assessment. While the on-premises segment still holds a significant market share, the cloud-based segment is witnessing faster growth, driven by its flexibility and cost-effectiveness. Competition is fierce, with established players like Yardi and VTS vying for market share alongside numerous innovative startups offering specialized solutions. Geographic expansion continues, with North America currently dominating the market, followed by Europe and Asia-Pacific regions exhibiting promising growth potential. However, challenges such as data security concerns, high implementation costs, and the need for skilled professionals to effectively utilize these platforms can act as potential restraints to market expansion. Looking forward, the market is projected to maintain a strong growth trajectory, with a Compound Annual Growth Rate (CAGR) estimated at 15% between 2025 and 2033. This continued expansion will be driven by increased adoption in emerging markets, further technological innovation, and the ongoing integration of these platforms into core real estate business processes. The focus will increasingly shift towards providing more comprehensive and integrated solutions, encompassing not only property-level data but also market trends, economic indicators, and regulatory information. This evolution will lead to a more sophisticated and holistic approach to real estate investment and management, further solidifying the importance of property intelligence platforms in the industry. The competitive landscape is anticipated to become even more dynamic, with mergers and acquisitions likely to shape the market's consolidation.

The global real estate services market is experiencing robust growth, driven by factors such as increasing urbanization, rising disposable incomes, and the growing popularity of online real estate platforms. The market, currently valued at approximately $5 trillion in 2025, is projected to expand at a compound annual growth rate (CAGR) of 7% from 2025 to 2033, reaching an estimated value of $9 trillion by 2033. This growth is fueled by both the residential and commercial sectors, with significant contributions from various service types, including trading and rental services. The increasing demand for professional real estate services, particularly in emerging markets, further contributes to this expansion. Technological advancements, such as the integration of artificial intelligence and big data analytics, are transforming the industry, leading to increased efficiency and improved customer experiences. Key players are adopting innovative strategies like virtual tours and property management software to cater to the evolving needs of clients. Segmentation analysis reveals a significant share held by the residential sector within the application segment, while trading services constitute a larger portion of the overall service type segment. North America and Asia-Pacific currently dominate the market, but emerging economies in regions like South America and Africa are showing promising growth potential. The market's growth, however, is not without its challenges. Regulatory changes, economic fluctuations, and the cyclical nature of the real estate market pose potential restraints. Despite these challenges, the overall outlook for the real estate services market remains positive, with consistent growth projected throughout the forecast period. The increasing adoption of technology and the growing demand for specialized services across diverse geographical areas continue to drive market expansion. The industry is undergoing a transformation, and companies are adapting their strategies to remain competitive in this dynamic landscape. Successful businesses are effectively leveraging data analytics, enhancing customer engagement, and building strategic partnerships to capitalize on emerging opportunities and maintain a robust market position.

The US real estate industry solutions market is experiencing robust growth, driven by increasing demand for technology-driven solutions across all sectors of the industry. The period from 2019 to 2024 witnessed significant expansion, laying a solid foundation for continued growth through 2033. Factors contributing to this expansion include the rising adoption of property management software, the increasing need for data analytics and market intelligence to optimize investment strategies, and the growing preference for digital transactions and online platforms for property searching and purchasing. Furthermore, the integration of technologies like AI, blockchain, and IoT is revolutionizing various aspects of real estate, from property valuation and risk assessment to smart home automation and streamlined property management. This technological advancement is attracting substantial investments, further fueling market expansion. Looking ahead, the forecast period (2025-2033) projects continued growth, although the CAGR might fluctuate slightly due to macroeconomic factors. However, the underlying trends of digital transformation and increasing demand for efficiency and transparency within the real estate sector remain strong. The market's trajectory suggests a continued rise in the adoption of sophisticated software solutions and data-driven decision-making, ultimately enhancing the overall efficiency and profitability of real estate businesses. Specific sub-segments, such as proptech solutions and real estate investment platforms, are expected to witness particularly significant growth rates, attracting both large established players and innovative startups. This growth is likely to be geographically diverse, with major metropolitan areas and rapidly developing regions leading the adoption curve. This insightful report provides a detailed analysis of the US real estate industry solutions market, offering a comprehensive overview of its current state, future trends, and key players. Covering the period from 2019 to 2033, with a base year of 2025 and a forecast period extending to 2033, this study delves into the dynamics shaping this multi-billion dollar sector. We analyze market concentration, regulatory impacts, emerging technologies, and the competitive landscape, providing crucial insights for investors, industry professionals, and strategic decision-makers. This report uses data points from 2019-2024 for historical perspective and estimates for 2025 and forecasts for 2025-2033. High-search-volume keywords: US real estate market, real estate industry trends, commercial real estate, residential real estate, property management, real estate valuation, real estate investment, real estate technology, real estate market analysis, real estate market forecast. Key drivers for this market are: 4., Growth in Commercial Activities and Increased Competition4.; Increasing Demand for Affordable Housing Units. Potential restraints include: 4., Lack of Housing Spaces and Mortgage Regulation can Create Challenges. Notable trends are: Increase in Demand for Facility Management.

Snapshot img

US Real Estate Property Management Software Market Size 2025-2029

The us real estate property management software market size is forecast to increase by USD 447.3 million, at a CAGR of 6.1% between 2024 and 2029.

The Real Estate Property Management Software Market in the US is experiencing significant growth, driven by the increasing emphasis on customer-centric business processes. Property management companies are recognizing the value of streamlined operations and enhanced tenant experiences, leading to a surge in demand for advanced software solutions. Moreover, the adoption of big data analytics is transforming the industry, enabling data-driven decision-making and improved operational efficiency. However, the market faces challenges as well. The threat of open-source real estate property management software is growing, with some organizations opting for cost-effective alternatives. This trend could put pressure on established players to innovate and differentiate their offerings, ensuring they maintain a competitive edge. To capitalize on opportunities and navigate challenges effectively, companies must focus on delivering superior customer service, leveraging data insights, and continuously improving their technology offerings.

What will be the size of the US Real Estate Property Management Software Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The real estate property management market in the US is witnessing significant advancements, driven by the integration of smart home technologies and data backup solutions. Energy efficiency is a top priority, with regulatory compliance and property insurance companies encouraging the adoption of green building standards and sustainability certifications. Tenant screening services are utilizing background checks, credit history reports, and biometric authentication for thorough vetting processes. Artificial intelligence (AI) and machine learning are revolutionizing property management through predictive analytics, workflow optimization, and eviction prevention. Virtual tours and 3D modeling enable remote property inspections, while data visualization tools provide valuable insights for property investment analysis. Cloud security and mobile device management are essential for secure data access and management. Property risk management is a growing concern, with disaster recovery plans and property liability insurance playing crucial roles. Property management training and lease negotiation strategies are also key components in maintaining tenant retention. In summary, the US real estate property management market is undergoing a digital transformation, focusing on energy efficiency, regulatory compliance, tenant screening, and advanced technologies such as AI, data visualization, and predictive analytics. These trends are shaping the future of property management, offering increased efficiency, security, and profitability for businesses.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeIntegrated softwareStandalone softwareDeploymentCloud basedOn premisesApplicationResidentialCommercialIndustrialSectorLarge enterpriseSMEsIndividualsGeographyNorth AmericaUS

By Type Insights

The integrated software segment is estimated to witness significant growth during the forecast period.

Real estate property management software in the US integrates various applications to streamline operations for single-family homes, vacation rentals, student housing, and commercial properties. This software includes property marketing automation for tenant communication and listing platforms, occupancy management for rent collection and lease management, property accounting for financial reporting and automated payment processing, and property data analytics for value optimization and market trends. Compliance management ensures legal requirements, while property inspections and maintenance management maintain property conditions. API integration enables tenant screening and property investor collaboration. Cloud-based platforms offer accessibility and data security. Property portfolio management facilitates multifamily housing and building automation for energy efficiency. Insurance management and access control enhance security systems. Real estate agents and property managers can utilize these integrated features to effectively manage their property businesses.

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The Integrated software segment was valued at USD 659.20 million in 2019 and showed a gradual increase during the forecast period.

Market D

Comprehensive real estate data platform integrating MRI, Yardi, VTS, RealPage property management systems with public records, rental market data, and demographic insights for portfolio optimization across the United States.

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.

The FinTech in Real Estate market is experiencing robust growth, driven by increasing demand for digital solutions within the traditionally slow-moving real estate sector. Technological advancements, including AI-powered property valuations, blockchain for secure transactions, and innovative lending platforms, are revolutionizing the industry. The market's expansion is further fueled by the rising adoption of mobile technologies and the increasing preference for online property searches and transactions among younger generations. This shift towards digitalization is streamlining processes, improving efficiency, and enhancing transparency for both buyers and sellers. Major players like Zillow Group, Opendoor, and Roofstock are leading the charge, leveraging technology to disrupt traditional models and create new revenue streams. The integration of Big Data analytics enables better risk assessment and personalized financial solutions, attracting further investment and innovation into the sector. We estimate the market size in 2025 to be $150 billion based on reasonable estimations of industry growth. This figure projects considerable growth throughout the forecast period (2025-2033), fueled by the aforementioned factors. Despite the significant growth potential, challenges remain. Regulatory hurdles and concerns about data security and privacy could hinder market expansion. Furthermore, the integration of new technologies can be costly and complex, requiring significant investment from companies. Successfully navigating these challenges will require a strategic focus on regulatory compliance, robust cybersecurity measures, and user-friendly interfaces. However, the long-term outlook for the FinTech in Real Estate market remains positive, with considerable opportunities for growth and innovation across various segments, including property search, mortgage lending, investment, and property management. The continued development and adoption of innovative solutions will shape the future of real estate transactions and investment.

This essential dataset is tailored for real estate investors, home service providers, and Proptech companies, offering in-depth information that drives strategic decision-making and market analysis for Property Owner Data.

The dataset includes detailed address data, owner data, and mailing address data, providing a thorough understanding of each property’s profile. Real estate investors can leverage this data to identify high-potential investment opportunities and analyze market trends with greater accuracy. Home service providers can utilize the mailing address data to target specific properties and optimize their outreach efforts. For Proptech companies, this dataset enhances the development of innovative solutions and data-driven platforms.

Powered by BatchData, a leader in high-quality, up-to-date property information, this dataset ensures you receive the most accurate and current data available. Explore BatchService’s USA Property Owner Data to gain a competitive edge and make informed decisions in the dynamic real estate market.

Basic Property Data Includes: - Property ID - Address City - Address County - Address County FIPS Code - Address Hash - Address House Number - Address Latitude - Address Longitude - Address State - Address Street - Address Zip - Address Zip+4 Code - APN (Assessor's Parcel Number) - Property Owner Full Name - Property Owner First Name - Property Owner Middle Name - Property Owner Last Name - Property Owner Mailing Address City - Property Owner Mailing Address County - Property Owner Mailing Address State - Property Owner Mailing Address Street - Property Owner Mailing Address Zip - Property Owner Mailing Address Zip+4 code

BatchService also has 700+ additional datapoints available ranging from listing information, property characteristics, mortgage data, contact information and more.

Real Estate Investment Software Market Outlook

The global real estate investment software market size was valued at approximately USD 3.8 billion in 2023 and is projected to reach USD 8.5 billion by 2032, registering a compound annual growth rate (CAGR) of 9.2% during the forecast period. This growth is primarily driven by the increasing adoption of digital tools in real estate investment processes, which improves efficiency and decision-making capabilities.

One of the key growth factors propelling the real estate investment software market is the rising demand for property management solutions. As the real estate sector becomes more complex, investors and property managers are turning to advanced software solutions to streamline operations, manage portfolios, and optimize returns. These tools offer features like financial modeling, market analysis, and risk management, which are invaluable for making informed investment decisions. Furthermore, the integration of artificial intelligence (AI) and machine learning capabilities in these software solutions provides predictive analytics, enhancing the ability to forecast market trends and property values, thus driving market growth.

Another significant driver is the increasing globalization of real estate investments. As investors seek opportunities beyond their local markets, there is a growing need for software that can handle multi-regional compliance requirements, currency conversions, and diverse market analyses. Real estate investment software facilitates these needs by providing a unified platform for managing cross-border investments, thereby reducing the complexities involved. Moreover, the rise of real estate crowdfunding platforms has also bolstered the demand for such software, as it helps in managing investor relations and regulatory compliance efficiently.

The growing emphasis on sustainability and green buildings is also contributing to the expansion of the real estate investment software market. Investors are increasingly prioritizing properties that adhere to environmental regulations and sustainability standards. Software solutions that offer insights into the environmental impact of properties, energy consumption, and sustainability ratings are becoming essential tools for investors. These features not only assist in compliance but also enhance the attractiveness of properties to eco-conscious tenants and buyers, further stimulating market growth.

Real Estate is a dynamic and ever-evolving sector that plays a critical role in global economies. The integration of technology in real estate has transformed traditional practices, making processes more efficient and transparent. From property listings to virtual tours, technology has revolutionized how properties are bought, sold, and managed. This digital shift is not only enhancing the experience for buyers and sellers but also providing real estate professionals with powerful tools to analyze market trends and make data-driven decisions. As the industry continues to embrace technological advancements, the potential for innovation in real estate remains vast, offering new opportunities for growth and development.

Regionally, North America dominates the real estate investment software market, primarily due to the high adoption rate of advanced technologies and the presence of a large number of real estate firms. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid urbanization, economic growth, and increasing foreign investments in real estate in countries like China and India are significant factors driving the regional market. Moreover, the European market is also expected to grow steadily, supported by technological advancements and a strong focus on sustainable development.

Component Analysis

The real estate investment software market can be broadly categorized into two main components: software and services. The software segment is further divided into on-premises and cloud-based solutions. The software component holds the largest share in the market due to the increasing reliance on digital tools for property management and investment analysis. On-premises software solutions are preferred by large enterprises with robust IT infrastructure and a need for customizable solutions. These solutions offer greater control and security over data, making them suitable for firms that handle sensitive information.

Cloud-based software solu

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Real Estate Market size was valued at USD 79.7 Trillion in 2024 and is projected to reach USD 103.6 Trillion by 2031, growing at a CAGR of 5.1% during the forecasted period 2024 to 2031

Global Real Estate Market Drivers

Population Growth and Urbanization: In order to meet the demands of businesses, housing needs, and infrastructure development, there is a constant need for residential and commercial properties as populations and urban areas rise.

Low Interest Rates: By making borrowing more accessible, low interest rates encourage both individuals and businesses to make real estate investments. Reduced borrowing costs result in reduced mortgage rates, opening up homeownership and encouraging real estate investments and purchases.

Economic Growth: A thriving real estate market is a result of positive economic growth indicators like GDP growth, rising incomes, and low unemployment rates. Robust economies establish advantageous circumstances for real estate investment, growth, and customer assurance in the housing sector. Job growth and income increases: As more people look for rental or purchase close to their places of employment, housing demand is influenced by these factors. The housing market is driven by employment opportunities and rising salaries, which in turn drive home buying, renting, and property investment activity. Infrastructure Development: The demand and property values in the surrounding areas can be greatly impacted by investments made in infrastructure projects such as public facilities, utilities, and transportation networks. Accessibility, convenience, and beauty are all improved by improved infrastructure, which encourages real estate development and investment.

Government Policies and Incentives: Tax breaks, subsidies, and first-time homebuyer programs are a few examples of government policies and incentives that can boost the real estate market and homeownership. Market stability and growth are facilitated by regulatory actions that promote affordable housing, urban redevelopment, and real estate development.

Foreign Investment: Foreign capital can be used to stimulate demand, diversify property portfolios, and pump capital into the real estate market through direct property purchases or real estate investment funds. Foreign investors are drawn to the local real estate markets by favorable exchange rates, stable political environments, and appealing returns.

Demographic Trends: Shifting demographic trends affect housing preferences and demand for various property kinds. These trends include aging populations, household formation rates, and migration patterns. It is easier for real estate developers and investors to match supply with changing market demand when they are aware of demographic fluctuations.

Technological Innovations: New technologies that are revolutionizing the marketing, transactions, and management of properties include digital platforms, data analytics, and virtual reality applications. In the real estate industry, technology adoption increases market reach, boosts customer experiences, and increases operational efficiency.

Environmental Sustainability: Decisions about real estate development and investment are influenced by the growing knowledge of environmental sustainability and green building techniques. Market activity in environmentally aware real estate categories is driven by demand for eco-friendly neighborhoods, sustainable design elements, and energy-efficient buildings.