The United States Residential Real Estate Market is Segmented by Property Type (Apartments and Condominiums, and Villas and Landed Houses), by Price Band (Affordable, Mid-Market and Luxury), by Business Model (Sales and Rental), by Mode of Sale (Primary and Secondary), and by States (Texas, California, Florida, New York, Illinois and Rest of US). The Market Forecasts are Provided in Terms of Value (USD)

Artificial Intelligence (AI) In Real Estate Market analysis indicates the market was valued at USD 1.62 Billion in 2025 and is anticipated to reach USD 32.57 Billion by 2035 with a CAGR of 35% over the forecast timeline.

This dataset is part of our Data Structures (Machine Learning) course project at the French University in Armenia (UFAR) under the supervision of PhD Varazdat Avetisyan. The dataset was collected through web scraping and contains valuable insights into the Armenian real estate market, covering apartments, houses, and commercial properties.

👥 Contributors: • Vahe Mirzoyan • Arsen Martirosyan • Arman Nagdalyan

📌 Data Collection Process: • Scraping Tools Used: Selenium & BeautifulSoup in Google Colab • Source: Real estate website (Armenia) • Storage: Data was structured and stored in Google Sheets & CSV format

📊 Dataset Features:

The dataset includes the following columns: • ID – Unique identifier for each property • Address – Property location • Floors – Total number of floors • Rooms – Number of rooms • Area (sq.m) – Total square meters of the property • Bathrooms – Number of bathrooms • Building Type – Old or new construction • Price (USD) – Listed price of the property

Residential Real Estate Market is Segmented by Property Type (Apartments & Condominiums, and Landed Houses & Villas), by Price Band (Affordable, Mid-Market, and Luxury/Super-prime), by Business Model (Sales and Rental), by Mode of Sale (Primary and Secondary), and by Region (North America, South America, Europe, Asia-Pacific, and Middle East & Africa). The Market Forecasts are Provided in Terms of Value (USD).

The residential real estate market is an ever-evolving sector that plays a crucial role in the global economy, serving as a foundation for personal wealth and community stability. This market encompasses various types of properties, including single-family homes, multi-family units, condominiums, and townhouses, cat

BatchData is a premier data and technology solution helping businesses serving the real estate ecosystem achieve faster growth. BatchData specializes in providing accurate, granular B2C contact and property data for US property owners. Our Property Search API is the engine behind leading PropTech applications, predictive modeling engines, and high-volume sales operations.

With over 300+ unique search filters, we enable developers and data scientists to build highly specific "buy-boxes" and marketing audiences. Whether you are searching for high-equity homes in specific zip codes or identifying commercial properties based on zoning and lot size, BatchData delivers the "ground truth" you need. Visit www.batchdata.io to explore our documentation and start building.

The Power of Granular Search Unlike standard APIs that offer broad, surface-level data, BatchData allows you to query the US real estate market with surgical precision. Our API accepts complex boolean logic, allowing you to layer demographic profiles, mortgage history, and physical building characteristics to surface the exact properties that match your ideal customer profile (ICP).

Key Search Capabilities & Data Attributes Our API response leverages a massive schema of over 124 data points per property. You can search, filter, and retrieve data across these core categories:

1. Distressed Property & Motivated Seller Signals (Quick Lists) Identify off-market opportunities before they hit the MLS. Our API provides pre-calculated flags for immediate actionable intelligence:

Vacancy & Abandonment: Filter by USPS vacancy flags or properties where the mailing address differs from the situs address (Absentee Owners).

Financial Distress: Identify properties with active Notices of Default, Pre-Foreclosure filings, Tax Defaults (3+ years delinquent), or Involuntary Liens (HOA, mechanics, tax liens).

Ownership Fatigue: Target "Tired Landlords" (non-owner occupied, owned for 10+ years) or "Inherited" properties that are ripe for acquisition.

Equity Position: Search by calculated Equity Percentage or Loan-to-Value (LTV) ratios to find owners with high equity (Free & Clear) or low equity depending on your strategy.

1. Detailed Building & Lot Characteristics Go beyond bed/bath counts. Our physical property data is sourced from tax assessors and refined for accuracy:

Structural Details: Search by Construction Type (Masonry, Frame, etc.), Foundation Type, Roof Cover/Type (Gable, Hip, Flat), and Exterior Wall material.

Systems & Features: Filter properties by Air Conditioning Source (Central, Evaporative), Heating Fuel (Gas, Solar), and amenities like Pools, Patios, and Fireplaces.

Lot Intelligence: Access granular Zoning Codes, Topography, Lot Depth/Frontage, and Site Influence data to evaluate development potential.

1. Valuation & Market Analytics Power your underwriting models with our automated valuation metrics:

AVM (Automated Valuation Model): Access estimated market values with accompanying Confidence Scores and Standard Deviation metrics to assess reliability.

Investment Metrics: Utilize estimated Rent Amounts, Flip Profit history, and length of ownership to calculate potential ROI instantly.

1. Advanced Owner Demographics Understand the human element behind the property. Our demographic append allows you to segment properties based on the owner’s profile:

Financial Profile: Filter by Household Income, Net Worth, Discretionary Income, and Creditworthiness indicators.

Household Composition: Search by Marital Status, Presence of Children, Household Size, and Senior Owner status.

Lifestyle Indicators: Access data on interests such as Pet Ownership, Charitable Donations, and Investment activity (Stocks/Bonds, Real Estate).

1. Mortgage & Transaction History Trace the financial history of every rooftop:

Loan Details: Search by Loan Type (Conventional, FHA, VA, Reverse Mortgage), Interest Rate type (Fixed vs. Adjustable), and Lender Name.

Transaction Velocity: Analyze sales history including Prior Sale Price, Document Types (Deed, Quit Claim), and Distressed Transfer flags.

Use Cases for PropTech & Real Estate

For Real Estate Investors & Wholesalers: Automate your lead generation by programming the API to fetch new properties daily that meet your specific "Buy Box" (e.g., "Vacant Single Family Homes, 3+ Beds, Built after 1980, with >40% Equity"). Feed these leads directly into your CRM or cold-calling dialer.

For Home Services & Solar: Stop marketing to renters. Use the API to identify Owner-Occupied Single-Family Residences with specific roof types (e.g., Asphalt Shingle) and high discretionary income. Overlay this with "Old Roof" indicators (based on Year Built and Permit History) to target homeowners ready for replacement or solar upgrades.

For Financial Services & Lenders: Improve your risk models by integrating our Lien and Judgment data. Identify borrowers with "Free and Clear" properties for HELOC offers or target recent "Cash Buy...

The Information Technology (IT) sector in the real estate market has rapidly transformed how industry stakeholders conduct business, making it a critical area of focus for professionals and investors alike. IT solutions have streamlined property management, enhanced customer experience, and facilitated a more effici

Global Artificial Intelligence in Real Estate Market is segmented by Application (Real Estate Agents_ Property Managers_ Investors_ Homeowners), Type (Property Valuation_ Predictive Analytics_ Customer Relationship Management (CRM)_ Property Management_ Smart Homes), and Geography (North America_ LATAM_ West Europe_Central & Eastern Europe_ Northern Europe_ Southern Europe_ East Asia_ Southeast Asia_ South Asia_ Central Asia_ Oceania_ MEA)

ATTOM’s Vacancy Data provides a nationwide view of long-term residential vacancy, identifying properties across the United States that have been marked vacant for at least 90 days. Designed to support Real Estate Market Data, Rental Data, Residential Real Estate Data, and Property Data use cases, this dataset enables accurate identification of underutilized housing stock and vacancy-driven market dynamics.

Each record includes verified, standardized address information and ownership details, allowing organizations to analyze vacancy patterns, assess neighborhood turnover, and support targeted outreach or investment strategies. Monthly updates ensure the data reflects current market conditions while maintaining consistency across all U.S. counties.

With coverage spanning more than 159 million residential properties across 3,143 counties, ATTOM Vacancy Data serves as a foundational dataset for understanding vacancy trends, identifying distressed or idle assets, and improving market intelligence at national, state, and county levels.

This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.

📑 Column Descriptions

ATTOM’s Home Sales Trends dataset delivers reliable Real Estate Market Data by summarizing historical residential sales activity across the United States. Built from ATTOM’s proprietary database of verified deed transactions, it provides consistent House Price Data, Property Market Data, and Residential Real Estate Data across more than 2,700 counties.

What the Dataset Includes • Aggregated residential sales counts • Average sale prices • Median sale prices • Historical sales trends typically dating back to 2005 • Extended history to 2000 in select markets • Multi-level geographic aggregation from state to tract

How the Data Is Calculated • Derived from ATTOM’s verified property transaction database • Includes only arm’s-length residential transactions • Transaction types limited to: – Construction sales – Transfers and resales – Subdivision transfers • Residential property types only, including: – Single-family homes – Condo and townhome units • Sale price outliers removed to eliminate data errors

Why It Matters • Reflects true market-driven pricing and volume trends • Removes distressed and non-market transactions • Enables accurate comparison across markets and time periods • Supports consistent residential market analysis nationwide

Delivery & Cadence • Statistics typically delivered quarterly • Monthly or annual delivery available depending on use case

ATTOM’s Home Sales Trends dataset provides a clean, consistent, and historically rich foundation for analyzing residential market activity, price movement, and long-term housing trends across the U.S.

Real Estate Market Outlook 2026-2034

The global real estate market was valued at $4,892.6 billion in 2025 and is projected to reach $8,214.3 billion by 2034, expanding at a compound annual growth rate (CAGR) of 5.9% over the forecast period. This sustained expansion is underpinned by a convergence of structural forces including rapid urbanization across emerging economies, persistent housing undersupply in developed nations, institutional appetite for alternative assets, and the digital transformation of property transactions through PropTech platforms. In 2026 alone, cross-border real estate investment volumes are estimated to have recovered to pre-pandemic levels, with significant capital flows directed toward industrial logistics corridors, life sciences campuses, and mixed-use urban developments. The increasing formalization of rental markets, accelerated by post-pandemic hybrid work models and demographic shifts favoring flexibility, has added new dynamism to both residential and commercial sub-segments. Furthermore, governments across North America, Europe, and Asia Pacific have intensified their focus on affordable housing programs and infrastructure-led urban corridors, catalyzing additional private-sector investment into land development and large-scale residential projects. Environmental, social, and governance (ESG) criteria have become embedded in institutional investment mandates, boosting demand for green-certified buildings and sustainable retrofitting projects. The proliferation of real estate investment trusts (REITs) globally has also democratized access to property assets, broadening the investor base and deepening market liquidity. As mortgage markets stabilize amid central bank rate normalization cycles and construction activity rebounds across Southeast Asia, South Asia, and Sub-Saharan Africa, the global real estate industry is well-positioned to deliver robust compounded growth through 2034, presenting substantial opportunities for developers, investors, and service providers across the entire value chain.

ATTOM’s Points of Interest (POI) Data provides a comprehensive nationwide view of neighborhood amenities and business locations across the United States. Designed to support Real Estate Market Data, Demographic Data, Property Data, B2B Contact Data, and Urban Planning Data use cases, the dataset enables organizations to understand the local business landscape surrounding residential and commercial properties.

Covering 14 major business categories and 120 distinct lines of business, ATTOM POI Data offers valuable context for evaluating neighborhoods, supporting location-based analysis, and enhancing property-centric applications. Each point of interest includes standardized location details and contact information to support mapping, marketing, site selection, and risk assessment workflows.

What the Dataset Includes - 14 business categories spanning 120 lines of business - Business name and category classification - Physical address with latitude and longitude coordinates - Distance from a specified search location - Available business contact information

Business Categories Covered - Attractions & Recreation - Automotive Services - Banks & Financial Institutions - Eating & Drinking - Education - Farm & Ranch - Government & Public Services - Health Care Services - Hospitality - Organizations & Associations - Personal Services - Pet Services - Shopping - Travel

Coverage - Nationwide coverage across the United States - Quarterly updates to reflect changes in local business landscapes

How It’s Used - Real Estate Portals: Enhance property listings with nearby amenities and services - Marketing & Location-Based Advertising: Build targeted campaigns using neighborhood context - Mapping & Visualization: Populate user interfaces with relevant local landmarks and services - Site Selection & Market Expansion: Evaluate locations based on proximity to complementary businesses - Risk Modeling & Underwriting: Assess exposure to high-risk or high-impact nearby points of interest

ATTOM’s Points of Interest Data provides essential neighborhood-level context that strengthens real estate analysis, market intelligence, and location-based decision-making across industries.

The Artificial Intelligence (AI) in Real Estate market is rapidly transforming the landscape of property buying, selling, and management, utilizing advanced algorithms and data analytics to enhance decision-making processes and customer experiences. As of 2023, the estimated market size for AI in real esta...

The Information Technology (IT) sector in the real estate market has rapidly transformed how industry stakeholders conduct business, making it a critical area of focus for professionals and investors alike. IT solutions have streamlined property management, enhanced customer experience, and facilitated a m...

Global Connected Real Estate Market is segmented by Application (Property Management_ Smart Homes), Type (IoT_ Smart Technology), and Geography (North America_ LATAM_ West Europe_Central & Eastern Europe_ Northern Europe_ Southern Europe_ East Asia_ Southeast Asia_ South Asia_ Central Asia_ Oceania_ MEA)

Global luxury real estate market size was worth around USD 276 billion in 2024 and is predicted to grow to around USD 538 billion by 2034.(CAGR) of roughly 6.9%

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

Dataset

This dataset was created by Wen Li

Released under Apache 2.0

Contents

United States Real Estate Market valued at USD 3.53 Trillion in 2025, growing at 2.80% CAGR to USD 4.65 Trillion by 2035. Get size, share and forecast.