Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
The Rental Market Trends Dataset contains records of rental properties, providing a comprehensive overview of various factors influencing rental prices and occupancy rates in urban areas. This dataset is ideal for data analysis, machine learning, and predictive modeling related to real estate and rental markets.
Facebook
Twitterhttps://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
Discover the booming rental housing market! Explore key trends, drivers, and challenges impacting this multi-trillion dollar industry. Learn about top players like Airbnb and Zillow, regional market share, and future growth projections to 2033. Get insights to inform your investment or business strategy.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset provides monthly rental price statistics for apartments across urban neighborhoods, including average, median, minimum, and maximum rents by apartment type and location. It enables detailed market trend analysis, investment strategy development, and urban planning by offering granular insights into rental dynamics over time. The dataset is ideal for real estate professionals, investors, and researchers seeking to understand rental market fluctuations.
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.
| Column Name | Description |
|---|---|
Country | The country where the housing market data is recorded 🌍 |
Year | The year of observation 📅 |
Average House Price ($) | The average price of houses in USD 💰 |
Median Rental Price ($) | The median monthly rent for properties in USD 🏠 |
Mortgage Interest Rate (%) | The average mortgage interest rate percentage 📉 |
Household Income ($) | The average annual household income in USD 🏡 |
Population Growth (%) | The percentage increase in population over the year 👥 |
Urbanization Rate (%) | Percentage of the population living in urban areas 🏙️ |
Homeownership Rate (%) | The percentage of people who own their homes 🔑 |
GDP Growth Rate (%) | The annual GDP growth percentage 📈 |
Unemployment Rate (%) | The percentage of unemployed individuals in the labor force 💼 |
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Median monthly rental prices for the private rental market in England by bedroom category, region and administrative area, calculated using data from the Valuation Office Agency and Office for National Statistics.
Facebook
Twitterhttps://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice
Vacation Rental Market Size 2025-2029
The vacation rental market size is valued to increase USD 22 billion, at a CAGR of 4.1% from 2024 to 2029. Growing tourism industry and increasing popularity of short-term vacation rental properties will drive the vacation rental market.
Major Market Trends & Insights
Europe dominated the market and accounted for a 32% growth during the forecast period.
By Management - Managed by owners segment was valued at USD 48.50 billion in 2023
By Method - Offline segment accounted for the largest market revenue share in 2023
Market Size & Forecast
Market Opportunities: USD 68.07 billion
Market Future Opportunities: USD 22.00 billion
CAGR : 4.1%
Europe: Largest market in 2023
Market Summary
The market encompasses the provision of short-term stays in residential properties, including houses, apartments, and homestays. This market is experiencing significant growth due to the expanding tourism industry and the increasing popularity of flexible accommodation options. According to recent data, the vacation rental sector is projected to account for over 20% of the global accommodations market share by 2025. Core technologies, such as instant booking features and digital payment systems, are revolutionizing the vacation rental industry, making it more accessible and convenient for travelers.
However, challenges persist, including the risks associated with fraudulent listings and the need for robust regulatory frameworks to ensure consumer protection. As the market continues to evolve, it presents numerous opportunities for innovation, particularly in the areas of personalized services and sustainable tourism practices.
What will be the Size of the Vacation Rental Market during the forecast period?
Get Key Insights on Market Forecast (PDF) Request Free Sample
How is the Vacation Rental Market Segmented and what are the key trends of market segmentation?
The vacation rental 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.
Management
Managed by owners
Professionally managed
Method
Offline
Online
Type
Home
Apartments
Resort/Condominium
Others
Geography
North America
US
Canada
Europe
France
Italy
UK
APAC
China
India
Japan
South America
Brazil
Rest of World (ROW)
By Management Insights
The managed by owners segment is estimated to witness significant growth during the forecast period.
The markets witness significant trends shaping their operations and growth. Automated check-in and check-out systems streamline the guest experience, reducing manual labor and increasing efficiency. Social media marketing plays a crucial role in attracting and engaging potential renters, with 55% of travelers using social media to plan their trips. Legal compliance requirements are essential for vacation rental businesses, with occupancy rate optimization and access control systems ensuring adherence to regulations. Property valuation methods and smart home technology enhance the value proposition for renters, while energy management systems contribute to cost savings and sustainability. Keyless entry systems and guest review management tools facilitate seamless communication and improve the guest experience.
Customer service automation, cleaning service scheduling, revenue management strategies, and property management software enable owners to optimize their operations and maximize revenue. Rental agreement templates, digital marketing strategies, online booking systems, maintenance request systems, booking calendar software, dynamic pricing models, and channel management platforms are essential tools for vacation rental businesses. Guest experience platforms, yield management techniques, rental income projections, search engine optimization, payment gateway integration, tax calculation software, guest data analytics, customer relationship management, fraud prevention measures, accounting software integration, housekeeping management systems, guest communication tools, pricing optimization algorithms, insurance policy management, security system integration, and performance tracking metrics are all integral components of the evolving the market.
Request Free Sample
The Managed by owners segment was valued at USD 48.50 billion in 2019 and showed a gradual increase during the forecast period.
Industry growth is expected to be robust, with 32% of travelers expressing interest in vacation rentals as an alternative to hotels. Additionally, the adoption of technology in vacation rental businesses is projected to increase by 37% in the next five years (Source: Market Research). These trends underscore the import
Facebook
TwitterThe median monthly rent for all apartment types in the U.S. has stabilized since 2022, despite some seasonal fluctuations. In August 2025, the monthly rent for a two-bedroom apartment amounted to ***** U.S. dollars. That was an increase from ***** U.S. dollars in January 2021, but a decline from the peak value of ***** U.S. dollars in August 2022. Where are the most expensive apartments in the U.S.? Apartment rents vary widely from state to state. To afford a two-bedroom apartment in California, for example, a renter needed to earn an average hourly wage of nearly ** U.S. dollars. This was approximately double the average wage in North Carolina and three times as much as the average wage in Arkansas. In fact, rental costs were considerably higher than the hourly minimum wage in all U.S. states. How did rents change in different states in the U.S.? In 2025, some of the most expensive states to rent an apartment only saw a moderate increase in rental prices. Nevertheless, rents increased in most states as of August 2025. In West Virginia, the annual rental growth was the highest, at ***** percent.
Facebook
TwitterAs of January 2025, the rent for a two-bedroom apartment in Hawaii was about 120 U.S. dollars higher than in California. The states of Hawaii and California ranked as the most expensive within the United States for apartment renters. Conversely, an apartment in Arkansas was almost three times more affordable than one in Hawaii.In 2025, the average monthly rent in the U.S. declined slightly. Nevertheless, in rents increased in most states, with West Virginia registering the highest growth.
Facebook
Twitterhttps://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
Vacation Rental Market is Segmented by by Property Type (Homes, Apartments, Resort / Condominium, and More), Booking Mode (Online Platforms, Direct-To-Owner Websites, and More), by Rental Duration (Short-Term (<7 Nights), and More), Traveller Type, Families, Couples, and More), Price Tier (Budget, Mid-Scale, and Luxury / Premium), and Geography. The Market Forecasts are Provided in Terms of Value (USD).
Facebook
Twitterhttps://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The size of the Online Clothing Rental Market market was valued at USD 1.77 Million in 2023 and is projected to reach USD 2.80 Million by 2032, with an expected CAGR of 6.79% during the forecast period. Recent developments include: July 2022: Rent the Runway joined forces with Saks Off 5th, integrating a dedicated "pre-owned" section on its website, enabling customers to access pre-owned designer items., April 2022: David Jones extended its collaboration with the fashion rental platform GlamCorner through the introduction of Reloop. This innovative venture by GlamCorner empowers customers to engage in the circular economy while making conscious shopping choices., May 2022: Nuuly unveiled its newest ready-to-rent collection, building on its previous collaborations with designers such as Anna Sui. Additionally, following the launch of its resale platform the year before, Nuuly continues to expand its offerings.. Key drivers for this market are: Sustainable Fashion Trend, Strategic Expansion With Respect To E-commerce Subscription. Potential restraints include: High Cost of Rented Apparel Maintenance. Notable trends are: Adoption of Subscription-based Services.
Facebook
Twitterhttps://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy
The online home rental market is set to experience significant growth from 2025 to 2035, driven by increasing urbanization, rising digital adoption, and the growing demand for flexible living solutions. The market is expected to expand from USD 20.4 billion in 2025 to USD 82.5 billion by 2035, reflecting a CAGR of 14.2% during the forecast period.
| Metric | Value |
|---|---|
| Industry Size (2025E) | USD 20.4 billion |
| Industry Value (2035F) | USD 82.5 billion |
| CAGR (2025 to 2035) | 14.2% |
Global Online Home Rental Market - Country-Wise Per Capita Spending
| Country | United States |
|---|---|
| Population (millions) | 345.4 |
| Estimated Per Capita Spending (USD) | 145.20 |
| Country | United Kingdom |
|---|---|
| Population (millions) | 68.3 |
| Estimated Per Capita Spending (USD) | 132.50 |
| Country | Germany |
|---|---|
| Population (millions) | 83.2 |
| Estimated Per Capita Spending (USD) | 120.80 |
| Country | France |
|---|---|
| Population (millions) | 65.6 |
| Estimated Per Capita Spending (USD) | 110.30 |
| Country | Canada |
|---|---|
| Population (millions) | 39.2 |
| Estimated Per Capita Spending (USD) | 138.60 |
Country-Wise Outlook
| Country | CAGR (2025 to 2035) |
|---|---|
| United States | 6.8% |
| Country | CAGR (2025 to 2035) |
|---|---|
| United Kingdom | 6.5% |
| Country | CAGR (2025 to 2035) |
|---|---|
| Germany | 6.7% |
| Country | CAGR (2025 to 2035) |
|---|---|
| India | 7.5% |
| Country | CAGR (2025 to 2035) |
|---|---|
| China | 8.1% |
Competition Outlook
| Estimated Market Share (%), 2024 | |
|---|---|
| Airbnb | 20-25% |
| Zillow Rentals | 15 to 20% |
| Realtor.com | 12-16% |
| Apartments.com ( CoStar Group) | 10-14% |
| Other Companies (combined) | 35-45% |
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset contains detailed information about rental properties across various locations in the UK. The data was collected by scraping Rightmove, a popular real estate platform. Each entry in the dataset includes the property's address, subdistrict code, rental price, deposit amount, letting type, furnish type, council tax details, property type, number of bedrooms and bathrooms, size in square feet, average distance to the nearest train station, and the count of nearest stations.
Researchers and analysts interested in the UK rental market can utilize this dataset to explore rental trends, pricing variations based on location and property type, amenities preferences, and more. The dataset provides a valuable resource for machine learning models, statistical analysis, and market research in the real estate sector.
Metadata: Source: The data was collected by scraping the Rightmove real estate platform, a leading source for property listings in the UK. Date Range: The dataset covers rental property listings available during the scraping period. Geographical Coverage: Primarily focused on various locations across the UK, providing insights into regional rental markets. Data Fields: Address: The location of the rental property. Subdistrict Code: A code representing the subdistrict or area of the property. Rent: The monthly rental price in GBP (£) for the property. Deposit: The deposit amount required for renting the property. Let Type: Indicates whether the property is available for short-term or long-term rental. Furnish Type: Describes the furnishing status of the property (e.g., furnished, unfurnished, or flexible options). Council Tax: Information about the council tax associated with the property. Property Type: Specifies the type of property, such as apartment, flat, maisonette, etc. Bedrooms: The number of bedrooms in the property. Bathrooms: The number of bathrooms in the property. Size: The size of the property in square feet (sq ft). Average Distance to Nearest Station: The average distance (in miles) to the nearest train station from the property. Nearest Station Count: The count of nearest train stations within a certain distance from the property. Data Quality: The data may contain missing values or "Ask agent" placeholders, which require direct inquiry with agents or landlords for specific information. Potential Uses: The dataset can be used for market analysis, rental price prediction models, understanding property preferences, and exploring the impact of location and amenities on rental properties in the UK.
Facebook
Twitterhttps://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy
The size of the Vacation Rental Market was valued at USD 95.66 billion in 2023 and is projected to reach USD 123.36 billion by 2032, with an expected CAGR of 3.7 % during the forecast period. Recent developments include: In August 2022, Oravel Stays Private Limited bought Bornholmske Feriehuse, an operator of vacation rentals to expand its presence in Europe. The acquisition aimed to increase Oyo's presence in Croatia, where it had over 7,000 houses on its Traum Ferienwohnungen platform and close to 1,800 vacation homes on its Belvilla platform , In May 2023, in honor of Global Accessibility Awareness Day, Airbnb, Inc. stated that its agents had checked and verified the accuracy of approximately 300,000 accessible elements in residences globally. These accessibility features included step-free entrances, fixed grab bars, or bath or shower chairs .
Facebook
Twitterhttps://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
The Construction Equipment Rental Report is Segmented by Equipment Type (Earthmoving Equipment (Backhoe Loaders and More), and More), Drive Type (IC Engine and More), Application (Residential Construction and More), Rental Channel (Offline and Online), Service Type (Short-Term Rental, and More), and Geography (North America and More). The Market Forecasts are Provided in Terms of Value (USD) and Volume (Units).
Facebook
Twitterhttps://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy
The Furniture Rental Market size was valued at USD 54.91 billion in 2023 and is projected to reach USD 88.17 billion by 2032, exhibiting a CAGR of 7.0 % during the forecast period. Furniture Rental marketis a commercial enterprise that provides temporary usage of furnishings in residential or commercial areas. Staging, which is used most of the time during relocation, short-term occupancy, or the ones who are not planning to stay for a long time is very useful. It provides the flexibility of moving around without making a long-term commitment. The service involves several kinds of furniture, for example, residential, office, and event, which are rented according to the specifications. Usually, the items are sofas, tables, chairs, and decorative items which are available in different styles so that they can be used according to the preferences of the customers. Lately, there have been a lot of eco-friendly trends, such as the use of sustainable materials and the promotion of green practices, which are slowly but surely gaining ground. Furthermore, the mixing of online platforms cuts down the renting process, thus, making it more convenient and accessible.
Facebook
TwitterThe UK residential rental market is poised for significant growth, with forecasts indicating a cumulative increase of nearly **** percent by 2029. This surge is expected to be front-loaded, with a robust *****percent rise anticipated in 2025. 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.
Facebook
TwitterThe median monthly rent recorded between 1 April 2018 and 31 March 2019 in England was £695, from a sample of 504,970 rents.
This release provides statistics on the private rental market for England. The release presents the mean, median, lower quartile and upper quartile total monthly rent paid, for a number of bedroom/room categories. This covers each local authority in England, for the 12 months to the end of March 2019. Geographic (choropleth) maps have also been published as part of this release.
Facebook
Twitterhttps://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
The Online Clothing Rental Market is Segmented by Clothing Style (Ethnic Wear, Casual Wear, Formal Wear, Sports & Activewear, and More), by End User (Women, Men, and Kids & Teens), by Business Model (Subscription-Based and One-Time / Stand-Alone Rental), and by Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa). The Market Forecasts are Provided in Terms of Value (USD).
Facebook
Twitterhttps://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/
Luxury Rental Market size was valued at USD 19.5 Billion in 2023 and is projected to reach USD 30.11 Billion by 2031, growing at a CAGR of 6.4% during the forecast period 2024-2031.Global Luxury Rental Market DriversThe Luxury Rental Market is influenced by a variety of market drivers. Understanding these factors can provide insights into the dynamics of this sector. Here are some of the key drivers:Economic Conditions: The overall health of the economy plays a significant role. When the economy is strong, high-net-worth individuals (HNWIs) are more inclined to invest in luxury rental properties.Urbanization and Demographic Trends: Increasing urbanization, along with the influx of affluent individuals into major cities, drives demand for luxury rentals. Younger generations, including millennials and Gen Z, may prioritize flexible living arrangements.Global Luxury Rental Market RestraintsThe Luxury Rental Market is influenced by various factors that can act as market restraints. Some key market restraints include:Economic Conditions: Economic downturns or uncertainty can reduce disposable income and consumer confidence, leading to decreased demand for luxury rentals.High Competition: The Luxury Rental Market can become saturated with numerous options, making it challenging for property owners to differentiate their offerings and attract tenants.
Facebook
Twitterhttps://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy
Discover the booming luxury rental market! This report reveals a $15 billion market in 2025, projected to grow at a 15% CAGR through 2033, driven by sustainable consumption and the sharing economy. Learn about key players, trends, and regional growth potential in luxury clothing, jewelry, and handbag rentals.
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
The Rental Market Trends Dataset contains records of rental properties, providing a comprehensive overview of various factors influencing rental prices and occupancy rates in urban areas. This dataset is ideal for data analysis, machine learning, and predictive modeling related to real estate and rental markets.