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

What Does Our AVM Offer?

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

AVM Data Details:

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

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 Region (Northeast, Midwest, Southeast, West and Southwest). The Market Forecasts are Provided in Terms of Value (USD)

Our Automated Valuation Model (AVM) Data is a service that uses mathematical modeling to determine current market values. AVM data includes sales prices, property characteristics, market trends, and geographic information, to estimate real estate values with minimal human intervention.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

The United States real estate market was valued at USD 3.43 Trillion in 2024. The industry is expected to grow at a CAGR of 2.80% during the forecast period of 2025-2034 to reach a value of USD 4.52 Trillion by 2034. The market growth is mainly driven by the rising corporate investment, particularly in addressing the nation’s affordable housing shortage.

Major corporations are actively investing to integrate housing stability with social responsibility, supporting both new construction and the preservation of existing homes. In September 2024, UnitedHealth Group surpassed USD 1 billion in investments for affordable and mixed-income housing through direct capital and tax credits. These projects span 31 states and have delivered over 25,000 homes, simultaneously improved community health and providing secure housing for low- and moderate-income households.

Such corporate involvements are reshaping trends in United States real estate market by expanding the supply of affordable housing, reducing barriers for renters and homeowners, and stimulating development in high-demand urban and suburban areas. By aligning financial resources with strategic planning, corporations are enabling scalable solutions that meet social and economic objectives while enhancing overall market efficiency.

The Property Valuation Data Listing offered by BatchData delivers an extensive and detailed dataset designed to provide unparalleled insight into real estate market trends, property values, and investment opportunities. This dataset includes over 9 critical data points that offer a comprehensive view of property valuations across various geographic regions and market conditions. Below is an in-depth description of the data points and their implications for users in the real estate industry.

The Property Valuation Data Listing by BatchData is categorized into four primary sections, each offering detailed insights into different aspects of property valuation. Here’s an in-depth look at each category:

1. Current Valuation AVM Value as of Specific Date: The Automated Valuation Model (AVM) estimate of the property’s current market value, calculated as of a specified date. This value reflects the most recent assessment based on available data. Use Case: Provides an up-to-date valuation, essential for making current investment decisions, setting sale prices, or conducting market analysis. Valuation Confidence Score: A measure indicating the confidence level of the AVM value. This score reflects the reliability of the valuation based on data quality, volume, and model accuracy. Use Case: Helps users gauge the reliability of the valuation estimate. Higher confidence scores suggest more reliable values, while lower scores may indicate uncertainty or data limitations.

2. Valuation Range Price Range Minimum: The lowest estimated market value for the property within the given range. This figure represents the lower bound of the valuation spectrum. Use Case: Useful for understanding the potential minimum value of the property, helping in scenarios like setting a reserve price in auctions or evaluating downside risk. Price Range Maximum: The highest estimated market value for the property within the given range. This figure represents the upper bound of the valuation spectrum. Use Case: Provides insight into the potential maximum value, aiding in price setting, investment analysis, and comparative market assessments. AVM Value Standard Deviation: A statistical measure of the variability or dispersion of the AVM value estimates. It indicates how much the estimated values deviate from the average AVM value. Use Case: Assists in understanding the variability of the valuation and assessing the stability of the estimated value. A higher standard deviation suggests more variability and potential uncertainty.

3. LTV (Loan to Value Ratio) Current Loan to Value Ratio: The ratio of the outstanding loan balance to the current market value of the property, expressed as a percentage. This ratio helps assess the risk associated with the loan relative to the property’s value. Use Case: Crucial for lenders and investors to evaluate the financial risk of a property. A higher LTV ratio indicates higher risk, as the property value is lower compared to the loan amount.

4. Valuation Equity Calculated Total Equity: based upon estimate amortized balances for all open liens and AVM value Use Case: Provides insight into the net worth of the property for the owner. Useful for evaluating the financial health of the property, planning for refinancing, or understanding the owner’s potential gain or loss in case of sale.

This structured breakdown of data points offers a comprehensive view of property valuations, allowing users to make well-informed decisions based on current market conditions, valuation accuracy, financial risk, and equity potential.

This information can be particularly useful for: - Automated Valuation Models (AVMs) - Fuel Risk Management Solutions - Property Valuation Tools - ARV, rental data, building condition and more - Listing/offer Price Determination

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.

Differences within the value of listed real estate among European countries were significant as of December 2024. Listed real estate refers to real estate companies that are quoted on stock exchanges. They receive income from real estate assets. The United Kingdom was in the lead with listed real estate valued at ** billion U.S. dollars, whereas the value of listed real estate in Portugal, Italy, and Ireland was a lot lower. Overall, the value of the commercial real estate sector in Europe, Middle East, and Africa (EMEA) region was approximately ** trillion U.S. dollars.

The property listings dataset contains information about real estate properties available for sale or rent in Brazil. It includes details such as property type (apartment, house, commercial property), location (city, neighborhood), size (square footage, number of rooms), price, amenities, and contact information for the property owner or real estate agent. This dataset can be used for market analysis, property valuation, and identifying trends in the real estate market.

Sales and Rental Prices Dataset: The sales and rental prices dataset provides information about the prices of real estate properties in Brazil. It includes data on property transactions, including sale prices and rental prices per square meter or per month. This dataset can be used to analyze price trends, compare property prices across different regions, and identify areas with high or low real estate market demand.

Property Characteristics Dataset: The property characteristics dataset contains detailed information about the features and attributes of real estate properties. It includes data such as the number of bedrooms, bathrooms, parking spaces, floor plan, construction year, building amenities, and property condition. This dataset can be used for property classification, identifying popular property features, and evaluating property quality.

Geographical Data: Geographical data includes information about the location and spatial features of real estate properties in Brazil. It can include data such as latitude and longitude coordinates, zoning information, proximity to amenities (schools, hospitals, parks), and neighborhood demographics. This dataset can be used for spatial analysis, identifying hotspots or desirable locations, and understanding the neighborhood characteristics.

Property Market Trends Dataset: The property market trends dataset provides information about market conditions and trends in the real estate sector in Brazil. It includes data such as the number of property listings, average time on the market, price fluctuations, mortgage interest rates, and economic indicators that impact the real estate market. This dataset can be used for market forecasting, understanding market dynamics, and making informed investment decisions.

Real Estate Regulatory Data: Real estate regulatory data includes information about legal and regulatory aspects of the real estate sector in Brazil. It can include data on property ownership, property taxes, zoning regulations, building permits, and legal restrictions on property transactions. This dataset can be used for legal compliance, understanding property ownership rights, and assessing the legal framework for real estate transactions.

Historical Data: Historical real estate data includes past records and trends of property prices, market conditions, and sales volumes in Brazil. This dataset can span several years and can be used to analyze long-term market trends, compare current market conditions with historical data, and assess the performance of the real estate market over time.

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).

In 2024, Chile was the country with the highest inflation-adjusted increase in house prices since 2010 among the countries under observation. In the fourth quarter of the year, the real house price index in Chile hit 202.57 index points. This means that, adjusted for inflation, house prices grew by 102.57 percent since 2010, the baseline year when the index value was set to 100. According to the nominal house price index, which does not adjust for the effects of inflation, the price increase was higher.

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

In 2023, the U.S. Real Estate Market reached a value of USD 3156.7 million, and it is projected to surge to USD 3778.0 million by 2030.

Real Estate Market Outlook

The global real estate market size was valued at approximately USD 10 trillion in 2023 and is projected to reach around USD 15 trillion by 2032, growing at a compound annual growth rate (CAGR) of 4.5%. The primary growth factor driving this market is the increasing urbanization and the growing need for residential and commercial spaces. Rapid urbanization, economic development, and increasing investments in infrastructure are contributing to this growth.

Urbanization is a key driver for the real estate market. As urban areas expand, there is a heightened demand for residential, commercial, and industrial properties. This trend is particularly noticeable in emerging economies where migration from rural to urban areas is accelerating. In addition to providing housing, urbanization necessitates the development of commercial and industrial spaces to support economic activities and provide employment opportunities. This cycle of development and demand continues to fuel the real estate market globally.

Furthermore, economic development plays a crucial role in the growth of the real estate market. As countries develop economically, there is an increase in disposable incomes, which in turn drives demand for better housing and commercial facilities. This economic growth often leads to increased investments from both domestic and international investors, further boosting the real estate market. The development of infrastructure such as roads, bridges, and public facilities also supports the growth of the real estate sector by making locations more accessible and attractive for development.

The growth of the real estate market is also supported by government initiatives and policies aimed at promoting housing and infrastructure development. Many governments around the world offer incentives such as tax benefits, subsidies, and relaxed regulations to encourage investment in the real estate sector. These policies not only stimulate the construction of new properties but also help in the renovation and improvement of existing structures. Additionally, the introduction of smart cities and sustainable development projects is creating new opportunities within the real estate market.

Real Estate Services play a pivotal role in the expansion and management of the real estate market. These services encompass a wide range of activities including property management, brokerage, appraisal, and consulting. They are essential for facilitating transactions, ensuring compliance with regulations, and maximizing the value of real estate assets. As the market grows, the demand for specialized real estate services increases, providing opportunities for companies to offer tailored solutions that meet the diverse needs of property owners, investors, and tenants. The integration of technology into real estate services is also transforming the industry, enabling more efficient and transparent processes.

Regionally, the real estate market is experiencing varied growth patterns. For instance, Asia Pacific is witnessing rapid growth due to its expanding population and increasing urbanization. North America and Europe, on the other hand, are seeing steady growth driven by economic stability and significant investments in technology and sustainability. Meanwhile, regions like Latin America and the Middle East & Africa are slowly catching up, with increasing investments in infrastructure and real estate developments. These regional dynamics play a crucial role in shaping the overall growth trajectory of the global real estate market.

Property Type Analysis

The real estate market is segmented by property type into residential, commercial, industrial, and land. The residential segment is one of the most significant contributors to the market, driven by the increasing population and the growing need for housing. With urbanization on the rise, there is a continuous demand for new residential properties. This segment includes single-family homes, multi-family units, condominiums, and apartments. The trend towards nuclear families and the demand for better living standards are also contributing to the growth of the residential real estate segment.

Commercial real estate is another critical segment within the market, encompassing office spaces, retail centers, hotels, and other commercial establishments. The growth of the commercial real estate segment is closely linked to economic development, as businesses requir

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

The global real estate valuation services market is experiencing robust growth, driven by factors such as increasing real estate transactions, stricter regulatory compliance needs, and the rising demand for accurate property assessments for investment decisions. The market, currently estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% between 2025 and 2033, reaching approximately $85 billion by 2033. This growth is fueled by a surge in construction activity, particularly in emerging economies, and a growing need for professional valuations in mortgage lending, portfolio management, and tax assessments. Key trends include the increasing adoption of technology like AI and machine learning for automated valuation models (AVMs) and the growing importance of data analytics in enhancing valuation accuracy and efficiency. However, market restraints include economic downturns affecting real estate activity and the potential for inaccuracies arising from rapid market fluctuations and data limitations. The market is segmented by service type (residential, commercial, industrial), valuation method (income, cost, sales comparison), and client type (financial institutions, government agencies, private investors). Leading players include established firms like CBRE, Deloitte, and Savills, alongside specialized valuation companies and regional players. The competitive landscape is characterized by both established multinational corporations and smaller, specialized firms catering to niche markets. The integration of PropTech solutions and data analytics is transforming the industry, enhancing efficiency and improving valuation accuracy. Regional variations in market growth reflect differences in real estate market dynamics and regulatory environments. North America and Europe are currently leading regions, driven by robust economic activity and mature real estate markets. However, the Asia-Pacific region is anticipated to witness significant growth, fuelled by increasing urbanization and infrastructure development. The continued development of sophisticated valuation models, coupled with improved data accessibility, will be critical in driving future growth and improving transparency and accuracy within the market.

The US Commercial Real Estate Market Report is Segmented by Property Type (Offices, Retail, Logistics, Others), by Business Model (Sales, Rental), by End-User (Individuals/Households, Corporates & SMEs, Others), and by Geography (Texas, California, Florida, New York, Illinois, Rest of US). The Market Forecasts are Provided in Terms of Value (USD).

Real Estate Market was valued at USD 9.8 trillion in 2023, and is slated to reach USD 14.54 trillion by 2030, due to the growing urbanization worldwide.

The global real estate and property valuation services market is experiencing robust growth, driven by increasing construction activities, a surge in real estate transactions, and the expanding need for accurate property assessments across residential, commercial, and other sectors. The market's segmentation, encompassing various application areas (residential, commercial, and others) and valuation types (buying/selling, divorce settlements, estate settlements, tax assessments, and others), reflects its diverse client base and wide-ranging applications. Factors such as stringent government regulations concerning property valuation, the growing adoption of advanced technologies like AI and machine learning for more efficient and accurate valuations, and the rising demand for specialized services in niche areas like green building assessments contribute significantly to market expansion. While economic fluctuations and regional disparities in real estate markets could potentially pose challenges, the long-term outlook for the industry remains positive, fueled by consistent growth in the construction and real estate sectors globally. The competitive landscape is marked by the presence of both large multinational corporations (like Kroll, CBRE, Cushman & Wakefield, and Savills) and specialized regional firms. These companies are engaged in a continuous battle for market share through strategic acquisitions, technological advancements, and the expansion of their service offerings. The industry shows strong regional variations, with North America and Europe currently dominating the market share due to their mature real estate markets and high levels of regulatory compliance. However, the Asia-Pacific region, particularly countries like China and India, are emerging as high-growth areas with considerable potential for future expansion. This surge is primarily driven by rapid urbanization, robust infrastructure development, and a burgeoning middle class with increased disposable income. To maintain a competitive edge, firms are increasingly investing in innovative valuation methodologies and technologies, expanding their service portfolios to cater to a broader client base, and establishing a stronger global presence.

Silencio’s Street Noise-Level Dataset provides unmatched value for the real estate industry, delivering highly granular noise data to property professionals, developers, and investors. Built from over 35 billion datapoints collected globally via our mobile app and refined through AI-driven interpolation, this dataset offers hyper-local average noise levels (dBA) covering streets, neighborhoods, and venues across more than 180 countries.

Our data helps assess the environmental quality of any location, supporting residential and commercial property valuations, site selection, and urban development. By integrating real-world noise measurements with AI-powered models, we enable real estate professionals to evaluate how noise exposure impacts property value, livability, and buyer perception — factors often overlooked by traditional market analyses.

Silencio also operates the largest global database of noise complaints, providing additional context for understanding neighborhood soundscapes from both objective measurements and subjective community feedback.

We offer on-demand visual delivery for mapped cities, regions, or even specific streets and districts, allowing clients to access exactly the data they need. Data is available both as historical and up-to-date records, ready to be integrated into valuation models, investment reports, and location intelligence platforms. Delivery options include CSV exports, S3 buckets, PDF, PNG, JPEG, and we are currently developing a full-featured API, with flexibility to adapt to client needs. We are open to discussion for API early access, custom projects, or unique delivery formats.

Fully anonymized and fully GDPR-compliant, Silencio’s data ensures ethical sourcing while providing real estate professionals with actionable insights for smarter, more transparent valuations.