100+ datasets found
  1. Global Real Estate Market Size By Residential, By Commercial, By Geographic...

    • verifiedmarketresearch.com
    Updated Apr 19, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    VERIFIED MARKET RESEARCH (2024). Global Real Estate Market Size By Residential, By Commercial, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/real-estate-market/
    Explore at:
    Dataset updated
    Apr 19, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

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

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Real Estate 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.

  2. C

    Housing Market Value Analysis 2021

    • data.wprdc.org
    • gimi9.com
    • +1more
    geojson, html, pdf +2
    Updated Jul 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Allegheny County (2025). Housing Market Value Analysis 2021 [Dataset]. https://data.wprdc.org/dataset/market-value-analysis-2021
    Explore at:
    html, geojson(10301172), zip(2039140), pdf(881980), xlsx(22669), pdf(28782887), zip(1996574)Available download formats
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Allegheny County
    License

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

    Description

    In 2021, Allegheny County Economic Development (ACED), in partnership with Urban Redevelopment Authority of Pittsburgh(URA), completed the a Market Value Analysis (MVA) for Allegheny County. This analysis services as both an update to previous MVA’s commissioned separately by ACED and the URA and combines the MVA for the whole of Allegheny County (inclusive of the City of Pittsburgh). The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies.

    This MVA utilized data that helps to define the local real estate market. The data used covers the 2017-2019 period, and data used in the analysis includes:

    • Residential Real Estate Sales
    • Mortgage Foreclosures
    • Residential Vacancy
    • Parcel Year Built
    • Parcel Condition
    • Building Violations
    • Owner Occupancy
    • Subsidized Housing Units

    The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources.

    Please refer to the presentation and executive summary for more information about the data, methodology, and findings.

  3. Real Estate Market Analysis APAC, North America, Europe, South America,...

    • technavio.com
    pdf
    Updated Feb 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Technavio (2025). Real Estate Market Analysis APAC, North America, Europe, South America, Middle East and Africa - US, China, Japan, India, South Korea, Australia, Canada, UK, Germany, Brazil - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/real-estate-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2025 - 2029
    Area covered
    United Kingdom, Canada, Germany, United States
    Description

    Snapshot img

    Real Estate Market Size 2025-2029

    The real estate market size is forecast to increase by USD 1,258.6 billion at a CAGR of 5.6% between 2024 and 2029.

    The market is experiencing significant shifts and innovations, with both residential and commercial sectors adapting to new trends and challenges. In the commercial realm, e-commerce growth is driving the demand for logistics and distribution centers, while virtual reality technology is revolutionizing property viewings. Europe's commercial real estate sector is witnessing a rise in smart city development, incorporating LED lighting and data centers to enhance sustainability and efficiency. In the residential sector, wellness real estate is gaining popularity, focusing on health and well-being. Real estate software and advertising services are essential tools for asset management, streamlining operations, and reaching potential buyers. Regulatory uncertainty remains a challenge, but innovation in construction technologies, such as generators and renewable energy solutions, is helping mitigate risks.
    

    What will be the Size of the Real Estate Market During the Forecast Period?

    Request Free Sample

    The market continues to exhibit strong activity, driven by rising population growth and increasing demand for personal household space. Both residential and commercial sectors have experienced a rebound in home sales and leasing activity. The trend towards live-streaming rooms and remote work has further fueled demand for housing and commercial real estate. Economic conditions and local market dynamics influence the direction of the market, with interest rates playing a significant role in investment decisions. Fully furnished, semi-furnished, and unfurnished properties, as well as rental properties, remain popular options for buyers and tenants. Offline transactions continue to dominate, but online transactions are gaining traction.
    The market encompasses a diverse range of assets, including land, improvements, buildings, fixtures, roads, structures, utility systems, and undeveloped property. Vacant land and undeveloped property present opportunities for investors, while the construction and development of new housing and commercial projects contribute to the market's overall growth.
    

    How is this Real Estate Industry segmented and which is the largest segment?

    The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Residential
      Commercial
      Industrial
    
    
    Business Segment
    
      Rental
      Sales
    
    
    Manufacturing Type
    
      New construction
      Renovation and redevelopment
      Land development
    
    
    Geography
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      South America
    
        Brazil
    
    
      Middle East and Africa
    

    By Type Insights

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

    The market encompasses the buying and selling of properties designed for dwelling purposes, including buildings, single-family homes, apartments, townhouses, and more. Factors fueling growth in this sector include the increasing homeownership rate among millennials and urbanization trends. The Asia Pacific region, specifically China, dominates the market due to escalating homeownership rates. In India, the demand for affordable housing is a major driver, with initiatives like Pradhan Mantri Awas Yojana (PMAY) spurring the development of affordable housing projects catering to the needs of lower and middle-income groups. The commercial real estate segment, consisting of office buildings, shopping malls, hotels, and other commercial properties, is also experiencing growth.

    Furthermore, economic and local market conditions, interest rates, and investment opportunities in fully furnished, semi-furnished, unfurnished properties, and rental properties influence the market dynamics. Technological integration, infrastructure development, and construction projects further shape the real estate landscape. Key sectors like transportation, logistics, agriculture, and the e-commerce sector also impact the market.

    Get a glance at the market report of share of various segments Request Free Sample

    The Residential segment was valued at USD 1440.30 billion in 2019 and showed a gradual increase during the forecast period.

    Regional Analysis

    APAC is estimated to contribute 64% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    The Asia Pacific region holds the largest share of The market, dr

  4. S

    Second-hand Housing Trading Platform Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Aug 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Insights Market (2025). Second-hand Housing Trading Platform Report [Dataset]. https://www.datainsightsmarket.com/reports/second-hand-housing-trading-platform-1968497
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Aug 13, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The global second-hand housing trading platform market is experiencing robust growth, driven by increasing urbanization, rising disposable incomes, and the growing preference for online real estate transactions. The market's expansion is fueled by technological advancements, such as improved mobile applications and advanced search functionalities, that enhance user experience and streamline the buying and selling process. Furthermore, the integration of virtual tours and 3D modeling provides potential buyers with immersive experiences, reducing the need for physical viewings and accelerating transaction times. Competition is fierce, with established players like Zillow, Rightmove, and Realtor.com vying for market share alongside emerging local and international platforms. The market is segmented geographically, with variations in growth rates influenced by factors such as local regulations, economic conditions, and technological adoption rates. While challenges exist, such as regulatory hurdles and the need for robust fraud prevention measures, the overall market outlook remains positive, projecting substantial growth over the forecast period. The success of individual platforms depends on several factors. These include the effectiveness of their marketing strategies, the breadth and accuracy of their property listings, the quality of their customer service, and the level of trust they build with users. The integration of innovative features, such as AI-powered property valuation tools and advanced data analytics, will be crucial for platforms aiming to gain a competitive edge. The market also shows potential for niche platforms targeting specific demographics or geographic areas. For example, platforms focusing on sustainable housing or catering to specific buyer needs (e.g., first-time homebuyers) could carve out significant market segments. Overall, strategic partnerships, technological innovation, and a strong focus on user experience will be key determinants of success within this dynamic and evolving market.

  5. C

    Housing Market Value Analysis - Allegheny County Economic Development

    • data.wprdc.org
    • catalog.data.gov
    csv, html, lyr, pdf +2
    Updated May 26, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Allegheny County (2023). Housing Market Value Analysis - Allegheny County Economic Development [Dataset]. https://data.wprdc.org/dataset/market-value-analysis-allegheny-county-economic-development
    Explore at:
    pdf(11534), zip, png, html, pdf(9358422), lyr, csvAvailable download formats
    Dataset updated
    May 26, 2023
    Dataset authored and provided by
    Allegheny County
    License

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

    Area covered
    Allegheny County
    Description

    In 2017, the County Department of Economic Development, in conjunction with Reinvestment Fund, completed the 2016 Market Value Analysis (MVA) for Allegheny County. A similar MVA was completed with the Pittsburgh Urban Redevelopment Authority in 2016. The Market Value Analysis (MVA) offers an approach for community revitalization; it recommends applying interventions not only to where there is a need for development but also in places where public investment can stimulate private market activity and capitalize on larger public investment activities. The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies.

    The 2016 Allegheny County MVA does not include the City of Pittsburgh, which was characterized at the same time in the fourth update of the City of Pittsburgh’s MVA. All calculations herein therefore do not include the City of Pittsburgh. While the methodology between the City and County MVA's are very similar, the classification of communities will differ, and so the data between the two should not be used interchangeably.

    Allegheny County's MVA utilized data that helps to define the local real estate market. Most data used covers the 2013-2016 period, and data used in the analysis includes:

    •Residential Real Estate Sales; • Mortgage Foreclosures; • Residential Vacancy; • Parcel Year Built; • Parcel Condition; • Owner Occupancy; and • Subsidized Housing Units.

    The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources.

    During the research process, staff from the County and Reinvestment Fund spent an extensive amount of effort ensuring the data and analysis was accurate. In addition to testing the data, staff physically examined different areas to verify the data sets being used were appropriate indicators and the resulting MVA categories accurately reflect the market.

    Please refer to the report (included here as a pdf) for more information about the data, methodology, and findings.

  6. D

    Luxury Real Estate Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Luxury Real Estate Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-luxury-real-estate-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Luxury Real Estate Market Outlook




    The global luxury real estate market size was valued at approximately USD 289.6 billion in 2023 and is projected to reach around USD 515.3 billion by 2032, growing at a CAGR of 6.5% from 2024 to 2032. The growth of this market is primarily driven by increasing urbanization, rising disposable incomes, and a growing number of high-net-worth individuals (HNWIs) worldwide.




    One of the primary growth factors contributing to the expansion of the luxury real estate market is the surge in the population of high-net-worth individuals. According to recent data, the number of millionaires and billionaires is increasing globally, especially in emerging economies. This demographic tends to invest heavily in luxury properties to diversify their asset portfolios and leverage real estate as a stable investment. Additionally, many of these HNWIs are inclined towards acquiring properties in prime locations, further fueling the demand for high-end real estate.




    Another significant factor driving the luxury real estate market is the growing trend of second homes and vacation properties. With the rise in global travel and tourism, affluent individuals are purchasing luxury vacation homes in exotic locations, such as beachfront properties, mountain retreats, and exclusive urban residences. This trend is particularly evident in regions like the Mediterranean, the Caribbean, and Southeast Asia. The availability of luxury amenities, coupled with the desire for privacy and exclusivity, makes these properties highly attractive investments.




    Technological advancements and the adoption of smart home technologies have also played a crucial role in the growth of the luxury real estate market. High-end properties are increasingly equipped with state-of-the-art home automation systems, energy-efficient solutions, and top-notch security features. These technological innovations not only enhance the living experience but also significantly boost the property's market value. Furthermore, the integration of eco-friendly and sustainable building practices in luxury properties is becoming a growing trend, appealing to environmentally conscious buyers.



    The concept of Property Franchise is gaining traction in the luxury real estate sector, offering a unique business model that combines the benefits of franchising with the lucrative potential of high-end properties. By leveraging established brand names and proven business systems, property franchises provide investors with a structured approach to entering the luxury market. This model allows franchisees to tap into the expertise and resources of a larger network, while maintaining the flexibility to cater to local market demands. As the luxury real estate market continues to expand, property franchises are becoming an attractive option for entrepreneurs seeking a foothold in this competitive industry. The ability to offer a consistent brand experience across various locations is a key advantage, appealing to both investors and clients looking for reliability and prestige in their property transactions.




    From a regional perspective, the Asia Pacific region is witnessing substantial growth in the luxury real estate market. Countries such as China, India, and Australia are experiencing rapid urbanization and economic growth, leading to an increasing demand for luxury properties. In North America, the United States and Canada continue to dominate the market, driven by strong economic fundamentals and high levels of disposable income. Europe remains a key player in the luxury real estate market, with cities like London, Paris, and Berlin attracting global investors due to their historical significance and robust real estate infrastructure. The Middle East and Africa region is also emerging as a significant market, particularly in cities like Dubai and Cape Town, renowned for their luxury real estate offerings.



    Property Type Analysis




    The luxury real estate market can be segmented by property type into residential, commercial, and industrial properties. The residential segment dominates the luxury real estate market, driven by the high demand for luxurious homes, villas, and apartments in prime locations. High-net-worth individuals and affluent families seek exclusive residential properties that offer privacy, security, and top-notch amenities. The trend of owning multiple residen

  7. d

    Real Estate Market Noise Level Data | 180+ Countries Coverage | Granular &...

    • datarade.ai
    Updated Apr 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Silencio Network (2025). Real Estate Market Noise Level Data | 180+ Countries Coverage | Granular & Hyper-local | 100% Opted-In Users | 100% Traceable Consent [Dataset]. https://datarade.ai/data-products/real-estate-market-noise-level-data-237-countries-coverage-silencio-network
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 9, 2025
    Dataset provided by
    Quickkonnect UG
    Authors
    Silencio Network
    Area covered
    Romania, Guernsey, Italy, Curaçao, Indonesia, Tokelau, Vietnam, Réunion, Tunisia, New Zealand
    Description

    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.

  8. R

    Residential Real Estate Industry Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). Residential Real Estate Industry Report [Dataset]. https://www.marketreportanalytics.com/reports/residential-real-estate-industry-91985
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 20, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The global residential real estate market, valued at $11.14 billion in 2025, is projected to experience robust growth, driven by several key factors. A compound annual growth rate (CAGR) of 6.07% from 2025 to 2033 indicates a significant expansion in market size over the forecast period. Rising urbanization, increasing disposable incomes in emerging economies, and shifting demographic trends, particularly the growth of millennial and Gen Z homebuyers, are major contributors to this growth. Further fueling the market is the ongoing demand for luxury properties and sustainable, eco-friendly housing options. The market is segmented by property type, encompassing apartments and condominiums, as well as landed houses and villas, each catering to distinct buyer preferences and price points. Competition among major players like Christie's International Real Estate, Coldwell Banker, and DLF Ltd, alongside regional and local developers, remains fierce, leading to innovation in property development and marketing strategies. While potential economic downturns and fluctuations in interest rates pose challenges, the long-term outlook for the residential real estate sector remains positive. However, the market's growth trajectory is not uniform across all regions. North America and Asia-Pacific are expected to be key growth drivers, fueled by strong economic performance and population growth in specific areas like major cities in the US and China. Conversely, regions facing economic instability or regulatory hurdles may experience slower growth. The increasing adoption of PropTech (property technology) solutions, including online property portals and virtual reality tours, is transforming the way properties are bought and sold, increasing efficiency and transparency. Sustainable building practices and government policies promoting affordable housing will also shape the market's future, influencing construction materials, design, and pricing strategies. Analyzing these factors is critical for investors and developers looking to navigate the complexities of this dynamic and lucrative market. Recent developments include: December 2023: The Ashwin Sheth group is planning to expand its residential and commercial portfolio in the MMR (Mumbai Metropolitan Area) region, India., November 2023: Tata Realty and Infrastructure, a wholly-owned subsidiary of Tata Sons, plans to grow its business with more than 50 projects in major cities in India, Sri Lanka and the Maldives. The projects have a development potential of more than 51 million square feet.. Key drivers for this market are: Rapid urbanization, Government initiatives. Potential restraints include: Rapid urbanization, Government initiatives. Notable trends are: Increased urbanization and homeownership by elderly.

  9. Housing Market Value Analysis - Urban Redevelopment Authority

    • catalog.data.gov
    • data.wprdc.org
    • +2more
    Updated Jan 24, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Urban Redevelopment Authority of Pittsburgh (2023). Housing Market Value Analysis - Urban Redevelopment Authority [Dataset]. https://catalog.data.gov/dataset/housing-market-value-analysis-urban-redevelopment-authority
    Explore at:
    Dataset updated
    Jan 24, 2023
    Dataset provided by
    Urban Redevelopment Authority of Pittsburghhttp://www.ura.org/
    Description

    In late 2016, the URA, in conjunction with Reinvestment Fund, completed the 2016 Market Value Analysis (MVA) for the City of Pittsburgh. The Market Value Analysis (MVA) offers an approach for community revitalization; it recommends applying interventions not only to where there is a need for development but also in places where public investment can stimulate private market activity and capitalize on larger public investment activities. The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional neighborhood boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. Pittsburgh’s 2016 MVA utilized data that helps to define the local real estate market between July, 2013 and June, 2016: • Median Sales Price • Variance of Sales Price • Percent Households Owner Occupied • Density of Residential Housing Units • Percent Rental with Subsidy • Foreclosures as a Percent of Sales • Permits as a Percent of Housing Units • Percent of Housing Units Built Before 1940 • Percent of Properties with Assessed Condition “Poor” or worse • Vacant Housing Units as a Percentage of Habitable Units The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. During the research process, staff from the URA and Reinvestment Fund spent an extensive amount of effort ensuring the data and analysis was accurate. In addition to testing the data, staff physically examined different areas to verify the data sets being used were appropriate indicators and the resulting MVA categories accurately reflect the market.

  10. US Residential Real Estate Market Analysis | Trends, Forecast, Size &...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jul 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mordor Intelligence (2025). US Residential Real Estate Market Analysis | Trends, Forecast, Size & Industry Growth Report 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/residential-real-estate-market-in-usa
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    United States
    Description

    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)

  11. s

    Real Estate Market Noise Level Data | 180+ Countries Coverage | Granular &...

    • storefront.silencio.network
    Updated Jun 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Silencio Network (2025). Real Estate Market Noise Level Data | 180+ Countries Coverage | Granular & Hyper-local | 100% Opted-In Users | 100% Traceable Consent [Dataset]. https://storefront.silencio.network/products/real-estate-market-noise-level-data-237-countries-coverage-silencio-network
    Explore at:
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Quickkonnect UG
    Authors
    Silencio Network
    Area covered
    France, United States
    Description

    Hyper-local street noise-level and noise-complaint data for real estate, covering over 180 countries. Built from 35B datapoints combining real measurements and AI interpolation. Ideal for property valuation, site selection, and neighborhood analysis. Fully anonymized and GDPR-compliant.

  12. R

    Residential Real Estate Market In Mexico Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 25, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). Residential Real Estate Market In Mexico Report [Dataset]. https://www.marketreportanalytics.com/reports/residential-real-estate-market-in-mexico-92227
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The Mexican residential real estate market, valued at $14.51 billion in 2025, exhibits a promising growth trajectory with a Compound Annual Growth Rate (CAGR) of 4.14% projected from 2025 to 2033. This robust expansion is fueled by several key drivers. A growing middle class with increasing disposable income is a significant factor, alongside government initiatives promoting affordable housing and infrastructure development. Urbanization continues to drive demand, particularly in major metropolitan areas like Mexico City, Guadalajara, and Monterrey. Furthermore, the tourism sector's influence on secondary housing markets in coastal and resort regions contributes significantly to the overall market dynamism. However, challenges exist; fluctuations in the Mexican Peso against the US dollar can affect investment sentiment, and interest rate changes impact mortgage accessibility. Regulatory hurdles and bureaucratic processes related to land ownership and construction permits sometimes impede development. The market is segmented by property type, with apartments and condominiums likely holding the largest share, followed by landed houses and villas, reflecting diverse consumer preferences and housing needs. Competition is intense, with a mix of both large national developers like Grupo Lar and Grupo Sordo Madaleno, alongside smaller regional players vying for market share. The market's future success depends on navigating these challenges effectively while capitalizing on the underlying growth opportunities. The projected market expansion will likely see a more pronounced increase in higher-value segments (landed houses and villas) as rising incomes fuel demand for luxury properties. Geographical variations are expected; while urban centers will experience sustained growth, resort areas might see more volatile fluctuations influenced by tourism trends. The market's resilience will be tested by its ability to adapt to potential economic shifts and effectively address regulatory constraints. Continuous investment in infrastructure and supportive government policies will be pivotal in fostering sustainable and inclusive growth across all market segments within the forecast period. The presence of both large and small players ensures a competitive landscape, promoting innovation and diversification within the industry. Recent developments include: June 2023: Habi, a prominent real estate technology platform, is set to receive a substantial financial boost of USD 15 million from IDB Invest. This funding, spread over four years, aims to fuel Habi's expansion plans in Mexico. While the structured loan has the potential to reach USD 50 million, its primary focus is to cater to Habi's working capital needs. IDB Invest's strategic move is not just about bolstering Habi's growth; it also aims to leverage technology to enhance liquidity and agility in Mexico's secondary real estate markets. By addressing the housing gap in Mexico, this funding initiative is poised to elevate market efficiency, bolster transparency, encourage local contractors for home renovations, and expand Habi's corridor network., June 2023: Celaya Tequila, a premium tequila brand crafted in small batches and co-founded by brothers Matt & Ryan Kalil, is forging a philanthropic alliance with New Story, a non-profit dedicated to eradicating global homelessness. In a groundbreaking move, Celaya Tequila pledges to contribute a percentage of sales from every bottle towards an affordable housing endeavor in Jalisco, Mexico. This endeavor aims to empower underprivileged families in Jalisco by enhancing their access to homes and land ownership.. Key drivers for this market are: 4., Increasing Residential Real Estate Demand by Young People4.; Increase in Average Housing Price in Mexico. Potential restraints include: 4., Increasing Residential Real Estate Demand by Young People4.; Increase in Average Housing Price in Mexico. Notable trends are: Demand for Residential Real Estate Witnessing Notable Surge, Primarily Driven by Young Homebuyers.

  13. State-by-state income generated from a typical home sale U.S. 2021

    • statista.com
    Updated Jul 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). State-by-state income generated from a typical home sale U.S. 2021 [Dataset]. https://www.statista.com/statistics/1117103/home-sale-economic-impact-usa/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, the typical home sale generated over ******* U.S. dollars for the local economy in Hawaii. That includes income generated from real estate industries, expenditures related to the home purchase, new home production and the economic effect of the income earned in other sectors re-circulating the local economy. During the same year, a home sale in Arkansas only generated about ****** U.S. dollars in income for the economy.

  14. d

    Real Estate Data | Property Listing, Sold Properties, Rankings, Agent...

    • datarade.ai
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Grepsr, Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment [Dataset]. https://datarade.ai/data-products/real-estate-property-data-grepsr-grepsr
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    Grepsr
    Area covered
    Holy See, Australia, South Sudan, Tonga, Malaysia, Kuwait, Congo (Democratic Republic of the), Iraq, Spain, Kazakhstan
    Description

    Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

    A. Usecase/Applications possible with the data:

    1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

    2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

    3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

    4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

    5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

    6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

    7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

    How does it work?

    • Analyze sample data
    • Customize parameters to suit your needs
    • Add to your projects
    • Contact support for further customization
  15. f

    Data from: APPROACHES AND TYPES OF HOUSING PRODUCTION AND LOCAL PRODUCTION...

    • scielo.figshare.com
    jpeg
    Updated Jun 5, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wagner Vinicius AMORIM (2023). APPROACHES AND TYPES OF HOUSING PRODUCTION AND LOCAL PRODUCTION AS COMMODITIES [Dataset]. http://doi.org/10.6084/m9.figshare.5734374.v1
    Explore at:
    jpegAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    SciELO journals
    Authors
    Wagner Vinicius AMORIM
    License

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

    Description

    RESUMO We propose a discussion of some approaches and concepts pertaining to the real estate market, real estate and, in more depth, "real estate production" and the idea of "places as commodities". These last two notions, supported a selected bibliography and a theoretical perspective, bring a broad concept that goes beyond the idea of the real estate market. We understand that the discussion and the elucidation of these notions and / or terms contribute to an understanding of one side of the large-scale production of urban space, as well as shedding light on recent processes relevant to the construction of the city. We demonstrate that perspective from the evolution of the number of establishments of Real Estate Activities, Construction of Buildings and Civil Engineering Works in the cities of Londrina/PR and Maringa/PR, using them as empirical examples and based on the data available from the Annual Relation of Social Information (RAIS), as well as from the evolution of the real estate activity and construction companies.

  16. f

    Yoursouthtampahome.com | Properties Data | Real Estate Data

    • datastore.forage.ai
    Updated Sep 22, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Yoursouthtampahome.com | Properties Data | Real Estate Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Property%20Listings
    Explore at:
    Dataset updated
    Sep 22, 2024
    Description

    Yoursouthtampahome.com is a real estate company specializing in property listings and information for the South Tampa area. With a focus on providing detailed and up-to-date data, the company aims to help individuals and families find their dream homes. Their website is a valuable resource for anyone looking to buy, sell, or rent a property in South Tampa, offering a comprehensive view of the local real estate market.

    Yoursouthtampahome.com is a trusted source of information for property seekers, with a vast database of listings, sales data, and market trends. By providing easy access to this critical information, the company helps individuals make informed decisions in their home buying or selling journey.

  17. F

    Housing Inventory: Active Listing Count in Columbus, OH (CBSA)

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Housing Inventory: Active Listing Count in Columbus, OH (CBSA) [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOU18140
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Ohio, Columbus
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in Columbus, OH (CBSA) (ACTLISCOU18140) from Jul 2016 to Jul 2025 about Columbus, OH, active listing, listing, and USA.

  18. m

    Hedonic dataset of the four metropolitan housing market in South Korea

    • data.mendeley.com
    Updated Jan 17, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yena Song (2021). Hedonic dataset of the four metropolitan housing market in South Korea [Dataset]. http://doi.org/10.17632/d7grg846wv.3
    Explore at:
    Dataset updated
    Jan 17, 2021
    Authors
    Yena Song
    License

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

    Area covered
    South Korea
    Description

    This dataset was generated for analyzing the economic impacts of subway networks on housing prices in metropolitan areas. The provision of transit networks and accompanying improvement in accessibility induce various impacts and we focused on the economic impacts realized through housing prices. As a proxy of housing price, we consider the price of condominiums, the dominant housing type in South Korea. Although our focus is transit accessibility and housing prices, the presented dataset is applicable to other studies. In particular, it provides a wide range of variables closely related to housing price, including housing properties, local amenities, local demographic characteristics, and control variables for the seasonality. Many of these variables were scientifically generated by our research team. Various distance variables were constructed in a geographic information system environment based on public data and they are useful not only for exploring environmental impacts on housing prices, but also for other statistical analyses in regard to real estate and social science research. The four metropolitan areas covered by the data—Busan, Daegu, Daejeon, and Gwangju—are independent of the transit systems of Greater Seoul, providing accurate information on the metropolitan structure separate from the capital city.

  19. d

    Market Value Analysis Final Report 2018

    • catalog.data.gov
    • data.nola.gov
    • +4more
    Updated Sep 15, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.nola.gov (2023). Market Value Analysis Final Report 2018 [Dataset]. https://catalog.data.gov/dataset/market-value-analysis-final-report-2018
    Explore at:
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.nola.gov
    Description

    The Market Value Analysis (MVA) is a tool designed to assist the private market and government officials to identify and comprehend the various elements of local real estate markets. It is based fundamentally on local administrative data sources. By using an MVA, public sector officials and private market actors can more precisely craft intervention strategies in weak markets and support sustainable growth in stronger market segments.

  20. R

    Real Estate Brokerage Services Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Insights Market (2025). Real Estate Brokerage Services Report [Dataset]. https://www.datainsightsmarket.com/reports/real-estate-brokerage-services-1446658
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The real estate brokerage services market is experiencing robust growth, driven by several key factors. Technological advancements, such as the adoption of property management software (like those used by BrokerWOLF, RealtyAPX, and Dotloop) and online platforms, are streamlining transactions and increasing efficiency. The rise of iBuyers and proptech companies is also transforming the industry, creating new avenues for brokerage services and fostering competition. Increasing urbanization and a growing demand for housing, particularly in emerging markets, are fueling market expansion. While fluctuating interest rates and economic uncertainty can act as restraints, the overall long-term outlook remains positive due to the fundamental need for professional real estate guidance in navigating complex transactions. The market segmentation is likely diverse, encompassing residential, commercial, and specialized niche services (e.g., luxury properties, investment properties). Leading companies such as iBroker, Compass, and eXp Realty are driving innovation and consolidating market share, while smaller, regional firms like MRG Realty Partners and Spark Estate are thriving by catering to specific local market demands. The forecast period of 2025-2033 suggests a continuation of this growth trajectory, particularly as technology continues to integrate further into the industry. This growth is expected to be fueled by a number of factors, including increased demand for luxury properties in certain regions, growing adoption of PropTech solutions for enhanced efficiency and transparency in transactions, and a shift towards specialized brokerage services catering to niche markets. The competitive landscape, characterized by both established players and emerging proptech companies, will continue to evolve, leading to strategic mergers and acquisitions, technological innovation, and a focus on improving client experience. Regional variations in market performance are anticipated, reflecting differences in economic conditions, demographic trends, and regulatory environments. However, overall, the real estate brokerage market demonstrates significant potential for continued expansion and innovation throughout the forecast period, even amidst potential economic headwinds. The key to success for brokerage firms will be agility and adaptation to technological advancements, along with a focus on personalized client services.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
VERIFIED MARKET RESEARCH (2024). Global Real Estate Market Size By Residential, By Commercial, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/real-estate-market/
Organization logo

Global Real Estate Market Size By Residential, By Commercial, By Geographic Scope And Forecast

Explore at:
Dataset updated
Apr 19, 2024
Dataset provided by
Verified Market Researchhttps://www.verifiedmarketresearch.com/
Authors
VERIFIED MARKET RESEARCH
License

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

Time period covered
2024 - 2031
Area covered
Global
Description

Real Estate 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.

Search
Clear search
Close search
Google apps
Main menu