Vacation Rentals - United Kingdom

United Kingdom

Highlights

The United Kingdom is expected to see a rise in its Vacation Rentals market revenue as it is projected to hit US$4.69bn by 2024.
The market is also anticipated to exhibit a Compound Annual Growth Rate (CAGR) of 2.25% from 2024-2029, leading to a market volume of US$5.24bn by 2029.
Moreover, the number of users in the United Kingdom's Vacation Rentals market is predicted to rise to 18.97m users by 2029.
In 2024, user penetration is estimated to be 24.9% and is projected to decrease to 27.5% by 2029.
The Average Revenue Per User (ARPU) by 2029 is expected to be US$277.30.
It is also worth noting that 79% of the total revenue in the Vacation Rentals market is projected to be generated through online sales in the United Kingdom by 2029.
In a global comparison, the highest revenue in the market will be generated by United States, amounting to US$20bn by 2024.
The Vacation Rentals market in the United Kingdom is experiencing a rise in demand for rural properties as travelers seek to escape the city and reconnect with nature.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Vacation Rentals market in United Kingdom has been experiencing significant growth and evolution in recent years.

Customer preferences: Travelers in the United Kingdom are increasingly seeking unique and personalized accommodation options, driving the demand for vacation rentals over traditional hotels. The desire for more space, privacy, and amenities that mimic a home environment has become a key preference among tourists.

Trends in the market: One notable trend in the United Kingdom's Vacation Rentals market is the rise of online platforms that connect property owners with potential renters, offering a wide range of options to suit different preferences and budgets. Additionally, the increasing popularity of staycations and domestic travel has boosted the demand for vacation rentals in picturesque countryside and coastal locations across the country.

Local special circumstances: The United Kingdom's diverse landscape and rich cultural heritage make it a prime destination for both domestic and international travelers. This diversity has led to the development of a wide variety of vacation rental options, ranging from cozy cottages in the countryside to modern apartments in bustling urban centers like London and Edinburgh.

Underlying macroeconomic factors: Factors such as economic stability, favorable exchange rates, and government initiatives to promote tourism have all contributed to the growth of the Vacation Rentals market in the United Kingdom. Additionally, the increasing popularity of online booking platforms and the sharing economy has made it easier for property owners to list their spaces and for travelers to find accommodation that suits their needs.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of vacation rentals.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, the Global Consumer Survey, third-party studies and reports, data from industry associations (e.g., UNWTO), and price data of major players in respective markets. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as country-related GDP, demographic data (e.g., population), tourism spending, consumer spending, internet penetration, and device penetration. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, and exponential trend smoothing methods are applied. A k-means cluster analysis allows for the estimation of similar countries. The main drivers are tourism GDP per capita and respective price indices.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.