100+ datasets found
  1. Largest deals for data center property sales in Europe 2023-2024

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Largest deals for data center property sales in Europe 2023-2024 [Dataset]. https://www.statista.com/statistics/1232893/largest-data-center-properties-sales-europe/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    In 2023 and the first half of 2024, the largest property sale in the data center real estate market in Europe was DATA4 Paris-Saclay in Paris. In April 2023, Brookfield bought the ****** square meter property from AXA for an undisclosed price. The most expensive sale was Digital Frankfurt I. The valuation of the site was *** million U.S. dollars and Digital Core REIT obtained **** percent from Digital Realty.

  2. Investors' purchases in residential real estate in the U.S. Q1 2000-Q1 2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Investors' purchases in residential real estate in the U.S. Q1 2000-Q1 2024 [Dataset]. https://www.statista.com/statistics/1468816/residential-real-estate-investor-purchase-us/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Since 2000, the number of homes bought by investors in the United States has fluctuated significantly. It experienced a decrease during the financial crises of 2008 hitting its bottom in the first quarter of 2009 with ****** purchases, and it slowly recovered the number of purchases in the following years, peaking in the third quarter of 2021 with ****** purchases. Due to inflation, current purchase numbers are similar to those of the pre-pandemic times.

  3. Recommendations to buy, hold or sell office real estate in the U.S. in 2025,...

    • ai-chatbox.pro
    • statista.com
    Updated Nov 19, 2024
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    Statista (2024). Recommendations to buy, hold or sell office real estate in the U.S. in 2025, by type [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1286763%2Foffice-real-estate-buy-hold-sell-recommendations-us%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    According to a survey among real estate experts, approximately 60 percent of respondents recommended buying medical offices in 2025. Meanwhile, about 47 percent of respondents recommended selling central city and suburban offices.

  4. n

    Production Value of Buying and Selling of Own Real Estate

    • nationmaster.com
    Updated Mar 14, 2021
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    NationMaster (2021). Production Value of Buying and Selling of Own Real Estate [Dataset]. https://www.nationmaster.com/nmx/ranking/production-value-of-buying-and-selling-of-own-real-estate
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    Dataset updated
    Mar 14, 2021
    Dataset authored and provided by
    NationMaster
    License

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

    Time period covered
    2008 - 2019
    Area covered
    Italy, Romania, Greece, France, Bosnia and Herzegovina, Bulgaria, Luxembourg, Portugal, Iceland, Serbia
    Description

    Germany rose 2.5% of Production Value of Buying and Selling of Own Real Estate in 2019, from a year earlier.

  5. B

    Brazil Loans: Real Estate Financing: Value: for Purchase: Residential...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Loans: Real Estate Financing: Value: for Purchase: Residential Building: SFH: North: Tocantins [Dataset]. https://www.ceicdata.com/en/brazil/loans-real-estate-financing-value-for-purchase-by-region-residential-building-housing-finance-system-sfh/loans-real-estate-financing-value-for-purchase-residential-building-sfh-north-tocantins
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2017 - Nov 1, 2018
    Area covered
    Brazil
    Variables measured
    Loans
    Description

    Brazil Loans: Real Estate Financing: Value: for Purchase: Residential Building: SFH: North: Tocantins data was reported at 9,761,484.000 BRL in Nov 2018. This records an increase from the previous number of 6,762,875.000 BRL for Oct 2018. Brazil Loans: Real Estate Financing: Value: for Purchase: Residential Building: SFH: North: Tocantins data is updated monthly, averaging 13,305,504.500 BRL from Dec 2009 (Median) to Nov 2018, with 108 observations. The data reached an all-time high of 40,417,993.000 BRL in Dec 2014 and a record low of 3,648,614.000 BRL in Sep 2017. Brazil Loans: Real Estate Financing: Value: for Purchase: Residential Building: SFH: North: Tocantins data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB063: Loans: Real Estate Financing: Value: for Purchase: by Region: Residential Building: Housing Finance System (SFH). The SFH uses the following features to provide credit to citizens: the Guarantee Fund for Time of Service - FGTS (eligible users are allowed the withdraw from FGTS for payment of Real Estate financing under SFH), the current account savings and loans raised in the country or abroad for the implementation of housing projects and mortgage bonds (debt securities) issued by financial agents. Under this scheme, funding can go up to 90% of property value, and cost effective maximum (which includes all charges and expenses incidental to the credit contracted or offered to individuals) may not exceed 12% per year, including interest, fees and other charges. O SFH utiliza os seguintes recursos para fornecer crédito aos cidadãos: o Fundo de Garantia por Tempo de Serviço - FGTS (é permitido o retirar do FGTS para o pagamento de financiamento imobiliário sob SFH), a poupança em conta corrente e empréstimos captados no país ou no exterior para a implementação de projetos de habitação e obrigações hipotecárias (títulos de dívida) emitidas pelos agentes financeiros. Ao abrigo deste regime, o financiamento pode ir até 90% do valor do imóvel, e o custo máximo efetivo (que inclui todos os encargos e despesas acessórias ao crédito contratado ou oferecido a pessoas físicas) não pode exceder 12% por ano, incluindo os juros, taxas e outras encargos.

  6. Forecast: Number of Enterprises of Buying and Selling of Own Real Estate in...

    • reportlinker.com
    Updated Apr 11, 2024
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    ReportLinker (2024). Forecast: Number of Enterprises of Buying and Selling of Own Real Estate in the UK 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/507ecb7653b36c499321de0f4517bd5fb288c833
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    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    United Kingdom
    Description

    Forecast: Number of Enterprises of Buying and Selling of Own Real Estate in the UK 2024 - 2028 Discover more data with ReportLinker!

  7. R

    Residential Real Estate Market in Latin America Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). Residential Real Estate Market in Latin America Report [Dataset]. https://www.datainsightsmarket.com/reports/residential-real-estate-market-in-latin-america-17295
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 7, 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
    Latin America, Americas
    Variables measured
    Market Size
    Description

    The Latin American residential real estate market, valued at $477.77 million in 2025, is projected to experience robust growth, driven by factors such as increasing urbanization, rising disposable incomes, and government initiatives promoting affordable housing. The market is segmented by property type (apartments & condominiums, landed houses & villas) and geography (Mexico, Brazil, Colombia, and Rest of Latin America). Brazil and Mexico, with their large populations and developing economies, are expected to dominate the market, contributing significantly to the Compound Annual Growth Rate (CAGR) of 8.32% projected from 2025 to 2033. Strong demand from millennials and growing tourism in key areas are also contributing factors. However, challenges remain, including economic volatility in some regions, fluctuating interest rates impacting mortgage affordability, and infrastructure limitations in certain areas. The competitive landscape includes both large national developers like Cyrela, MRV Engenharia, and Grupo Sadasi, along with international players like JLL and CBRE, creating a dynamic and evolving market. Significant growth opportunities exist within the affordable housing segment, catering to the expanding middle class. Further market expansion is anticipated through the development of sustainable and smart homes, reflecting growing environmental awareness and technological advancements. While regulatory hurdles and bureaucratic processes can present challenges, the long-term outlook for the Latin American residential real estate market remains positive, driven by the region's demographic trends and continued economic development. Strategic investments in infrastructure development and supportive government policies will be crucial in unlocking the market's full potential. Detailed analysis of specific countries within the region will reveal nuances in market performance, highlighting areas of exceptional opportunity or risk. This report provides a detailed analysis of the dynamic Residential Real Estate Market in Latin America, covering the period 2019-2033. With a base year of 2025 and a forecast period spanning 2025-2033, this in-depth study leverages historical data (2019-2024) to offer valuable insights into market trends, growth drivers, and challenges. Keywords: Latin America real estate market, residential real estate Latin America, Latin American housing market, Brazilian real estate, Mexican real estate, Colombian real estate, apartment market Latin America, condo market Latin America, real estate investment Latin America. Recent developments include: November 2023: CBRE, a prominent global consultancy and real estate services firm, unveiled its latest initiative, the Latam-Iberia platform. The platform's primary goal is to reinvigorate the real estate markets in Europe and Latin America while fostering investment ties between the two regions. By enhancing business collaborations and amplifying the visibility of real estate solutions, CBRE aims to catalyze growth in the sector., May 2023: CJ do Brasil, a subsidiary of multinational firm CJ Bio, completed its USD 57 million plant expansion in Piracicaba, 160 km from Brazil's capital. CJ Bio is renowned for its expertise in amino acid production. The expansion is projected to create 650 new job opportunities, and the investment also encompasses the establishment of residential, research, and development centers.. Key drivers for this market are: Increase in Population is Boosting the Residential Real Estate Market, Rapid Growth in Urbanization. Potential restraints include: Accelerated Increase in Construction Costs. Notable trends are: Increase in Urbanization Boosting Demand for Residential Real Estate.

  8. European Number of Enterprises of Buying and Selling of Own Real Estate...

    • reportlinker.com
    Updated Apr 9, 2024
    + more versions
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    ReportLinker (2024). European Number of Enterprises of Buying and Selling of Own Real Estate Share by Country (Units (Enterprises)), 2023 [Dataset]. https://www.reportlinker.com/dataset/77447c0113066f65b6e94f714d0287fb45656bbe
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    Europe
    Description

    European Number of Enterprises of Buying and Selling of Own Real Estate Share by Country (Units (Enterprises)), 2023 Discover more data with ReportLinker!

  9. Forecast: Turnover of Buying and Selling of Own Real Estate in the UK 2024 -...

    • reportlinker.com
    Updated Apr 11, 2024
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    ReportLinker (2024). Forecast: Turnover of Buying and Selling of Own Real Estate in the UK 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/75db9399f210e5682193d912266caf5d59dd99fc
    Explore at:
    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    United Kingdom
    Description

    Forecast: Turnover of Buying and Selling of Own Real Estate in the UK 2024 - 2028 Discover more data with ReportLinker!

  10. CoreLogic Smart Data Platform: Owner Transfer and Mortgage

    • redivis.com
    application/jsonl +7
    Updated Aug 1, 2024
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    Stanford University Libraries (2024). CoreLogic Smart Data Platform: Owner Transfer and Mortgage [Dataset]. http://doi.org/10.57761/8twx-xz17
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    parquet, application/jsonl, sas, avro, csv, spss, arrow, stataAvailable download formats
    Dataset updated
    Aug 1, 2024
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford University Libraries
    Description

    Abstract

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

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

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

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

    Methodology

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

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

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

    Usage

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

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

    For more information about included variables, please see:

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

    %3C!-- --%3E

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

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

    Bulk Data Access

    Data access is required to view this section.

  11. B

    Brazil Loans: Real Estate Financing: for Purchase: Value: Southeast: New...

    • ceicdata.com
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    CEICdata.com, Brazil Loans: Real Estate Financing: for Purchase: Value: Southeast: New Residential Building: Market Rate [Dataset]. https://www.ceicdata.com/en/brazil/loans-real-estate-financing-for-purchase-by-region
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2017 - Nov 1, 2018
    Area covered
    Brazil
    Variables measured
    Loans
    Description

    Loans: Real Estate Financing: for Purchase: Value: Southeast: New Residential Building: Market Rate data was reported at 300,199,238.000 BRL in Nov 2018. This records a decrease from the previous number of 430,860,188.000 BRL for Oct 2018. Loans: Real Estate Financing: for Purchase: Value: Southeast: New Residential Building: Market Rate data is updated monthly, averaging 466,304,946.500 BRL from Aug 2009 (Median) to Nov 2018, with 112 observations. The data reached an all-time high of 1,060,855,005.000 BRL in Aug 2013 and a record low of 150,969,022.000 BRL in Aug 2009. Loans: Real Estate Financing: for Purchase: Value: Southeast: New Residential Building: Market Rate data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB051: Loans: Real Estate Financing: for Purchase: by Region. The SFH uses the following features to provide credit to citizens: the Guarantee Fund for Time of Service - FGTS (eligible users are allowed the withdraw from FGTS for payment of Real Estate financing under SFH), the current account savings and loans raised in the country or abroad for the implementation of housing projects and mortgage bonds (debt securities) issued by financial agents. Under this scheme, funding can go up to 90% of property value, and cost effective maximum (which includes all charges and expenses incidental to the credit contracted or offered to individuals) may not exceed 12% per year, including interest, fees and other charges. O SFH utiliza os seguintes recursos para fornecer crédito aos cidadãos: o Fundo de Garantia por Tempo de Serviço - FGTS (é permitido o retirar do FGTS para o pagamento de financiamento imobiliário sob SFH), a poupança em conta corrente e empréstimos captados no país ou no exterior para a implementação de projetos de habitação e obrigações hipotecárias (títulos de dívida) emitidas pelos agentes financeiros. Ao abrigo deste regime, o financiamento pode ir até 90% do valor do imóvel, e o custo máximo efetivo (que inclui todos os encargos e despesas acessórias ao crédito contratado ou oferecido a pessoas físicas) não pode exceder 12% por ano, incluindo os juros, taxas e outras encargos.

  12. H

    Housing Rental Service Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Market Research Forecast (2025). Housing Rental Service Report [Dataset]. https://www.marketresearchforecast.com/reports/housing-rental-service-28618
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The global housing rental service market is experiencing robust growth, driven by factors such as increasing urbanization, a rise in the millennial and Gen Z populations preferring flexible living arrangements, and the expanding popularity of short-term rentals facilitated by platforms like Airbnb and VRBO. The market is segmented by rental type (short-term and long-term) and application (personal and commercial), reflecting diverse consumer needs and business models. While long-term leases remain a significant segment, the short-term rental market is exhibiting particularly rapid growth, fueled by the travel and tourism industry and the increasing demand for flexible accommodations. The market's expansion is further propelled by technological advancements, including property management software and online booking platforms that streamline the rental process for both landlords and tenants. Competition is intense, with established players like Invitation Homes and Tricon Residential alongside emerging tech-driven companies like Blueground and HousingAnywhere vying for market share. Regional variations exist, with North America and Europe currently dominating the market, but significant growth potential is observed in Asia-Pacific and other developing regions as incomes rise and urbanization accelerates. Challenges include regulatory hurdles in various jurisdictions concerning short-term rentals, fluctuating interest rates impacting investment in rental properties, and the ongoing need to address concerns about affordability and housing shortages in many urban areas. Continued expansion in the housing rental service market is projected through 2033, although the rate of growth may moderate slightly compared to recent years. Factors such as economic downturns, changes in government regulations, and shifts in demographic trends could influence market trajectory. Companies are likely to focus on innovation to maintain a competitive edge, including improving their technology platforms, expanding service offerings, and diversifying their property portfolios. The industry will likely see increased consolidation as larger companies acquire smaller players, furthering the drive towards efficiency and economies of scale. Sustainable practices are also expected to gain prominence as consumers become increasingly aware of environmental and social responsibilities, influencing the demand for eco-friendly rental properties and responsible property management practices.

  13. f

    LiveOverture | Properties Data | Real Estate Data

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

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

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

  14. g

    IMO Real Estate Quotations: Sale and purchase - Semester 2015/1 | gimi9.com

    • gimi9.com
    + more versions
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    IMO Real Estate Quotations: Sale and purchase - Semester 2015/1 | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_ds2037/
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    License

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

    Description

    The dataset shows the real estate price for the first half of 2015, recorded through the Real Estate Market Observatory (OMI) managed by the Revenue Agency, which specifically processes and analyses all the technical and economic data and information concerning the value of a property and the rental market recorded in the Municipality of Milan. The data shown in the Dataset are divided into: * The conservative state indicated by capital letters refers to the most frequent one of ZONE * The Market Value is expressed in Euro/sqm referring to the Net Area (N) or Gross Area (L) * The presence of the asterisk (*) next to the typology indicates that the relative Market or Rental Values have been corrected. * For the Box, Parking spaces and Garage types, the different appreciation of the market according to the conservation status is not significant * For the type Shops the judgment O / N / S is to be understood as referring to the commercial position and not to the conservation status of the real estate unit The IMO is to be considered as a full-fledged tool, through which the Revenue Agency ensures the transparency of the real estate market. The information provided shall be the sole property of the Agency. The customer is not allowed to sell, rent, rent, transfer, transfer the contents of the Database or assume some other obligations to third parties. The information contained in the database can be used by the customer, also for the purpose of their processing provided that, in the case of publication, the relevant source is cited. For any further contractual conditions and use it is possible to connect to the link https://www.agenziaentrate.gov.it/portale/web/guest/fiche/fabbricatiterreni/omi/banche-data/quotas-real estate/conditions-contractual-qi.

  15. U

    United States Real Estate Brokerage Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 8, 2025
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    Data Insights Market (2025). United States Real Estate Brokerage Market Report [Dataset]. https://www.datainsightsmarket.com/reports/united-states-real-estate-brokerage-market-20315
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 8, 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
    United States
    Variables measured
    Market Size
    Description

    The United States real estate brokerage market, valued at $197.33 billion in 2025, is projected to experience steady growth, exhibiting a Compound Annual Growth Rate (CAGR) of 2.10% from 2025 to 2033. This growth is driven by several key factors. A robust housing market, fueled by increasing population and urbanization, continues to generate significant demand for brokerage services. Technological advancements, such as improved online platforms and data analytics, are streamlining operations and enhancing efficiency for both brokers and consumers. The rise of iBuyers and proptech companies, while posing some competition, also contribute to market expansion by creating innovative solutions and attracting a broader customer base. Furthermore, a shift toward specialized services, catering to niche markets like luxury properties or commercial real estate, is expected to contribute to market diversification and growth. The market is segmented into residential and non-residential sectors, with sales and rental services further dividing each segment. Major players such as Keller Williams, RE/MAX, Coldwell Banker, and Berkshire Hathaway Home Services maintain significant market shares, competing through brand recognition, extensive networks, and technological capabilities. However, certain restraints are present. Interest rate fluctuations and economic uncertainty can impact buyer confidence and consequently, transaction volume. Increasing regulatory scrutiny and compliance costs also add operational challenges for brokerage firms. Competition from independent agents and disruptive technologies demands continuous adaptation and innovation to maintain market competitiveness. The residential segment is expected to remain the largest, driven by consistent demand, while the non-residential sector may show slightly slower growth given fluctuations in commercial investment and development cycles. The sales segment will likely maintain its predominance, although the rental market is anticipated to see growth, reflecting evolving consumer preferences and rental market trends. The ongoing evolution of the market will likely see greater consolidation among larger firms and an increased focus on technological solutions, enhancing transparency, customer experience, and overall market efficiency. This comprehensive report provides an in-depth analysis of the United States real estate brokerage market, covering the period from 2019 to 2033. It leverages extensive market research and data analysis to offer valuable insights into market trends, growth drivers, challenges, and key players. The report is essential for investors, industry professionals, and anyone seeking a comprehensive understanding of this dynamic sector. The base year for this analysis is 2025, with estimations for 2025 and forecasts extending to 2033, utilizing historical data from 2019-2024. Search terms optimized for maximum visibility include: real estate brokerage, US real estate market, real estate trends, residential real estate, commercial real estate, real estate agents, real estate investment, real estate technology, M&A real estate, and real estate market analysis. Recent developments include: May 2024: Compass Inc., the leading residential real estate brokerage by sales volume in the United States, acquired Parks Real Estate, Tennessee's top residential real estate firm that boasts over 1,500 agents. Known for its strategic acquisitions and organic growth, Compass's collaboration with Parks Real Estate not only enriches its agent pool but also grants these agents access to Compass's cutting-edge technology and a vast national referral network., April 2024: Compass has finalized its acquisition of Latter & Blum, a prominent brokerage firm based in New Orleans. Latter & Blum, known for its strong foothold in Louisiana and other Gulf Coast metros, has now become a part of Compass. This strategic move not only solidifies Compass' presence in the region but also propels it to a significant market share, estimated at around 15% in New Orleans.. Key drivers for this market are: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the market. Potential restraints include: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the market. Notable trends are: Industrial Sector Leads Real Estate Absorption, Retail Tightens Vacancy Rates.

  16. F

    Real Residential Property Prices for United States

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Real Residential Property Prices for United States [Dataset]. https://fred.stlouisfed.org/series/QUSR628BIS
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q1 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

  17. United States Real Estate Market Size, Share, Growth and Industry Report

    • imarcgroup.com
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    IMARC Group, United States Real Estate Market Size, Share, Growth and Industry Report [Dataset]. https://www.imarcgroup.com/united-states-real-estate-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset provided by
    Imarc Group
    Authors
    IMARC Group
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global, United States
    Description

    The United States real estate market size was valued at USD 1.71 Trillion in 2024. Looking forward, IMARC Group estimates the market to reach USD 2.32 Trillion by 2033, exhibiting a CAGR of 3.10% from 2025-2033. The market is primarily driven by increasingly adaptive reuse and office conversions, rapidly expanding single-family build-to-rent (BTR) communities, and the growing integration of artificial intelligence (AI), reshaping urban spaces, increasing rental housing options, and enhancing efficiency through AI-driven predictive analytics and automation.

    Report Attribute
    Key Statistics
    Base Year
    2024
    Forecast Years
    2025-2033
    Historical Years
    2019-2024
    Market Size in 2024USD 1.71 Trillion
    Market Forecast in 2033USD 2.32 Trillion
    Market Growth Rate (2025-2033)3.10%

    IMARC Group provides an analysis of the key trends in each segment of the United States real estate market, along with forecasts at the country and regional levels from 2025-2033. The market has been categorized based on property, business, and mode.

  18. Recommendations to buy, hold or sell hotel real estate in the U.S. in 2025,...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Recommendations to buy, hold or sell hotel real estate in the U.S. in 2025, by type [Dataset]. https://www.statista.com/statistics/1286768/hotel-real-estate-buy-hold-sell-recommendations-us/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    The recommendations to buy hotel real estate of different types in the United States in 2025 were significantly higher than to sell. Nearly ** percent of industry experts surveyed recommended buying upscale hotels in 2024, while ** percent recommended selling and ** percent recommended holding.

  19. B

    Brazil Loans: Real Estate Financing: for Purchase: Value: Southeast: São...

    • ceicdata.com
    Updated Apr 15, 2024
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    CEICdata.com (2024). Brazil Loans: Real Estate Financing: for Purchase: Value: Southeast: São Paulo [Dataset]. https://www.ceicdata.com/en/brazil/loans-real-estate-financing-for-purchase-by-state/loans-real-estate-financing-for-purchase-value-southeast-so-paulo
    Explore at:
    Dataset updated
    Apr 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2017 - Nov 1, 2018
    Area covered
    Brazil
    Variables measured
    Loans
    Description

    Brazil Loans: Real Estate Financing: for Purchase: Value: Southeast: São Paulo data was reported at 1,660,161,162.000 BRL in Nov 2018. This records an increase from the previous number of 1,388,692,109.000 BRL for Oct 2018. Brazil Loans: Real Estate Financing: for Purchase: Value: Southeast: São Paulo data is updated monthly, averaging 1,434,674,097.500 BRL from Aug 2009 (Median) to Nov 2018, with 112 observations. The data reached an all-time high of 3,092,621,334.000 BRL in Oct 2014 and a record low of 463,092,395.000 BRL in Apr 2016. Brazil Loans: Real Estate Financing: for Purchase: Value: Southeast: São Paulo data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB050: Loans: Real Estate Financing: for Purchase: by State. The SFH uses the following features to provide credit to citizens: the Guarantee Fund for Time of Service - FGTS (eligible users are allowed the withdraw from FGTS for payment of Real Estate financing under SFH), the current account savings and loans raised in the country or abroad for the implementation of housing projects and mortgage bonds (debt securities) issued by financial agents. Under this scheme, funding can go up to 90% of property value, and cost effective maximum (which includes all charges and expenses incidental to the credit contracted or offered to individuals) may not exceed 12% per year, including interest, fees and other charges. O SFH utiliza os seguintes recursos para fornecer crédito aos cidadãos: o Fundo de Garantia por Tempo de Serviço - FGTS (é permitido o retirar do FGTS para o pagamento de financiamento imobiliário sob SFH), a poupança em conta corrente e empréstimos captados no país ou no exterior para a implementação de projetos de habitação e obrigações hipotecárias (títulos de dívida) emitidas pelos agentes financeiros. Ao abrigo deste regime, o financiamento pode ir até 90% do valor do imóvel, e o custo máximo efetivo (que inclui todos os encargos e despesas acessórias ao crédito contratado ou oferecido a pessoas físicas) não pode exceder 12% por ano, incluindo os juros, taxas e outras encargos.

  20. European Number of Persons Employed of Buying and Selling of Own Real Estate...

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). European Number of Persons Employed of Buying and Selling of Own Real Estate by Country, 2023 [Dataset]. https://www.reportlinker.com/dataset/6c9172d463dced10b7ed9ca4a03a23afaf3253a8
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    Europe
    Description

    European Number of Persons Employed of Buying and Selling of Own Real Estate by Country, 2023 Discover more data with ReportLinker!

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Statista (2025). Largest deals for data center property sales in Europe 2023-2024 [Dataset]. https://www.statista.com/statistics/1232893/largest-data-center-properties-sales-europe/
Organization logo

Largest deals for data center property sales in Europe 2023-2024

Explore at:
Dataset updated
Jul 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Europe
Description

In 2023 and the first half of 2024, the largest property sale in the data center real estate market in Europe was DATA4 Paris-Saclay in Paris. In April 2023, Brookfield bought the ****** square meter property from AXA for an undisclosed price. The most expensive sale was Digital Frankfurt I. The valuation of the site was *** million U.S. dollars and Digital Core REIT obtained **** percent from Digital Realty.

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