The UK residential rental market is poised for significant growth, with forecasts indicating a cumulative increase of nearly 18 percent by 2029. This surge is expected to be front-loaded, with a robust eight percent rise anticipated in 2024. Rental growth has accelerated notably since 2021, with August 2024 experiencing a decade-high annual percentage growth. The trend reflects the complex interplay between housing affordability, mortgage rates, and supply of rental homes, as the UK housing market navigates a period of transition.

According to a report published by Future Market Insights, the online home rental market is poised to expand to a valuation of US$ 18.24 billion in 2023 and is anticipated to exhibit a CAGR of 14% from 2023 to 2033 and reach US$ 77.09 billion in 2033.

The apartment rental market in the United States has been stagnating since 2019, after increasing year-on-year for several years. In 2022, the estimated market size of apartment rental was 253.4 billion U.S. dollars, down from 255.3 billion U.S. dollars in 2021. In 2023, the market is forecast to further contract by one percent, reaching 251.1 billion U.S. dollars.

Explore the Real Estate Rental Market trends! Covers key players, growth rate 7.4% CAGR, market size $3877.45 Billion, and forecasts to 2034. Get insights now!

Google was the most popular website for online reviews of multifamily rental properties as of the fourth quarter of 2023, concentrating 37 percent of all reviews. Usually, a property was reviewed on more than one website. Though Google had the most reviews, the properties reviewed on Modern Message had higher rating.

The global housing rental service market is experiencing robust growth, driven by factors such as increasing urbanization, a preference for flexible living arrangements, and the rise of the sharing economy. The market size in 2025 is estimated at $1.5 trillion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This significant growth is fueled by several key trends, including the expanding adoption of online rental platforms, the increasing availability of short-term rental options catering to both personal and commercial needs, and the growing demand for professionally managed rental properties. The market segmentation reveals strong demand across both short-term and long-term rental sectors, with personal rentals currently dominating but the commercial segment exhibiting high growth potential. Key players like Invitation Homes and Blueground are shaping the market landscape through innovative property management strategies and technological advancements. Geographic variations exist, with North America and Europe currently leading the market due to established infrastructure and higher disposable incomes. However, emerging markets in Asia Pacific are poised for rapid expansion driven by increasing urbanization and a burgeoning middle class. Geographic expansion and technological advancements are primary drivers contributing to market expansion. Restraints include regulatory hurdles related to short-term rentals in specific regions and fluctuations in interest rates that can impact rental affordability. The increasing adoption of proptech solutions, including smart home technologies and data-driven property management, is expected to further streamline operations and enhance the overall rental experience. The diversification of rental options, ranging from fully furnished apartments to co-living spaces, underscores the evolving needs of the contemporary renter and signifies future market growth opportunities. The continued refinement of property management services combined with the broader accessibility of online rental platforms will solidify the housing rental service market’s position as a vital sector within the global real estate landscape.

VITAL SIGNS INDICATOR List Rents (EC9)

FULL MEASURE NAME List Rents

LAST UPDATED October 2016

DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.

DATA SOURCE real Answers (1994 – 2015) no link

Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.

Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.

Inflation-adjusted data are presented to illustrate how rents have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.

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?

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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.

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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.

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

In 2023, there were approximately 45 million housing units occupied by renters in the United States. This number has been gradually increasing since 2010 as part of a long-term upward swing since 1975. Meanwhile, the number of unoccupied rental housing units has followed a downward trend, suggesting a growing demand and supply failing to catch up. Why are rental homes in such high demand?This high demand for rental homes is related to the shortage of affordable housing. Climbing the property ladder for renters is not always easy, as it requires prospective homebuyers to save up for a down payment and qualify for a mortgage. In many metros, the median household income is insufficient to qualify for the median-priced home. How many owner occupied homes are there in the U.S.? In 2023, there were over 86 million owner occupied homes. Owner occupied housing is when the person who owns a property – either outright or through a mortgage – also resides in the property. Excluded are therefore rental properties, employer-provided housing and social housing.

The $20.29 billion India Rental Housing Market, covering urbanization trends, rental demand, major players and investment opportunities in the sector.

Fair Market RentsThis National Geospatial Data Asset (NGDA) dataset, shared as a Department of Housing and Urban Development (HUD) feature layer, displays fair market rents (FMR) in the United States. According to HUD, "Fair Market Rents (FMRs) represent the estimated amount (base rent + essential utilities) that a property in a given area typically rents for. The data are primarily used to determine payment standard amounts for the Housing Choice Voucher program. However, FMRs are also used to determine initial renewal rents for expiring project-based Section 8 contracts, determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), rent ceilings for rental units in both the HOME Investment Partnerships program and the Emergency Solution Grants (ESG) program, calculate of maximum award amounts for Continuum of Care recipients and the maximum amount of rent a recipient may pay for property leased with Continuum of Care funds, and calculate flat rent amounts in Public Housing Units."Milwaukee-Waukesha-West Allis, WI Metropolitan Statistical Area (MSA)Data currency: current Federal service (Fair Market Rents)NGDAID: 122 (Fair Market Rents (Fair Market Rents For The Section 8 Housing Assistance Payments Program) - National Geospatial Data Asset (NGDA))For more information, please visit: Fair Market RentsSupport documentation: Fair Market Rents (FMRs)For feedback, please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

The report covers Residential Real Estate Market in USA and is Segmented by Property Type (Apartments and Condominiums, Landed Houses and Villas). The report offers market size and forecasts for the residential real estate market in the United States in value (USD billion) for all the above segments.

The size and share of the market is categorized based on Type (Hotel, Apartment, Civil Accommodation) and Application (Long-term Lease, Tourist Short-term Rental) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Vital statistics related to Ottawa’s rental housing inventory, including cost of rental housing of different sizes and locations.

Accuracy: No know issues. For a detailed description of the methodology and sources used to compile this data set, please refer to the Rental Market Analysis. Update Frequency: One-time dataset

Contact: Emergency and Protective Services – Public Policy Development Branch

Statistics Norway carries out the rental market survey every year in order to prepare statistics on rental prices for different types of housing in different parts of the country.

The survey is called Housing and Living Conditions (BOB) when we contact tenants. The name Housing and housing conditions are used to simplify the communication about the survey as tenants must report on their own housing and not on the rental market in general.

The population in BOB is all rental housing resident of private households in Norway. Since there is no complete register of rental housing, one must use a combination of various central administrative registers in Statistics Norway as a basis for establishing a sample framework with the largest possible proportion of rental housing. The sample in 2018 was established by drawing 37,000 addresses from the established drawing frame of assumed rental housing. The selection unit is the address of the assumed rental property, and the response unit is the person who lives at the address.

BOB is carried out as a pure web survey. The survey was conducted in 2018 over three weeks, starting on October 1.

Vacation Rental Market Report is Segmented by Booking Type (Home, Apartments, Resort/Condominium, Others), Booking Mode (Online and Offline), and Geography (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The Market Sizes and Forecasts Regarding Value (USD) for all the Above Segments are Provided.

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.

Market Analysis The global Rental Property Management Software market is projected to reach $X million by 2033, expanding at a CAGR of XX% from 2025 to 2033. The growing need for efficient property management, coupled with increasing urbanization and the rise of the rental market, is driving market expansion. Furthermore, technological advancements, such as cloud-based solutions and automation, are spurring adoption. Key Trends and Drivers Key trends shaping the market include the rising popularity of cloud and mobile-based software, offering flexibility and accessibility. SaaS and Web-based solutions are gaining traction, enabling seamless property management from multiple devices. Additionally, the integration of artificial intelligence and machine learning technologies is enhancing software capabilities, automating tasks, and providing predictive insights. Growing competition among vendors is fueling innovation, with companies offering customized solutions to meet the unique needs of property managers. The increasing awareness of data privacy and security concerns within the real estate industry is also driving the demand for secure and compliant software.

Rental Apps for Real Estate Market is estimated to reach USD 38.4 Bn By 2034, Riding on a Strong 12.3% CAGR throughout the forecast period.

Fair Market Rents (FMRs) represent the estimated amount (base rent + essential utilities) that a property in a given area typically rents for. The data is primarily used to determine payment standard amounts for the Housing Choice Voucher program; however, FMRs are also used to:

Determine initial renewal rents for expiring project-based Section 8 contracts;

Determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), rent ceilings for rental units in both the HOME Investment Partnerships program and the Emergency Solution Grants (ESG) program;

Calculate of maximum award amounts for Continuum of Care recipients and the maximum amount of rent a recipient may pay for property leased with Continuum of Care funds, and;

Calculate flat rent amounts in Public Housing Units.

Data is updated annualy in accordance with 42 USC 1437f which requires FMRs be posted at least 30 days before they are effective and that they are effective at the start of the federal fiscal year, October 1st.In order to calculate rents for units with more than four bedrooms, an extra 15% cost is added to the four bedroom unit value. The formula is to multiply the four bedroom rent by 1.15. For example, in FY21 the rent for a four bedroom unit in the El Centro, California Micropolitan Statistical Area is $1,444. The rent for a five bedroom unit would be $1,444 * 1.15 or $1,661. Each subsequent bedroom is an additional 15%. A six bedroom unit would be $1,444 * 1.3 or $1,877. These values are not included in the feature service.

To learn more about Fair Market Rents visit: https://www.huduser.gov/portal/datasets/fmr.html/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Fair Market Rents

Date of Coverage: FY2024 : Oct. 1 - Sept. 30