Vacation Rentals - Ukraine

Ukraine

Highlights

The Vacation Rentals market in Ukraine is expected to witness a tremendous growth in the coming years.
According to the projections, the revenue of this market is expected to reach US$226.20m by 2024, with an annual growth rate of 7.17% between 2024 and 2029.
This growth is expected to result in a market volume of US$319.90m by 2029.
Furthermore, the number of users in the Vacation Rentals market is expected to increase to 4.63m users by 2029.
The user penetration rate, which is currently at 9.4% in 2024, is projected to increase to 12.0% by 2029.
Additionally, the average revenue per user (ARPU) is expected to be around US$63.45.
By 2029, 80% of the total revenue of the Vacation Rentals market in Ukraine is expected to be generated through online sales.
It is worth noting that in the global comparison, United States is expected to generate the most revenue in this market, with a projected revenue of US$20bn in 2024.
Ukraine's Vacation Rentals market is experiencing growth as more tourists seek affordable accommodations and authentic cultural experiences.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Vacation Rentals market in Ukraine has been experiencing significant growth in recent years, reflecting the changing preferences of travelers and the evolving tourism landscape in the country.

Customer preferences: Travelers in Ukraine are increasingly seeking unique and authentic experiences, driving the demand for vacation rentals over traditional accommodation options. The desire to immerse oneself in the local culture and lifestyle has led to a surge in bookings for vacation rental properties across the country.

Trends in the market: One notable trend in the Ukrainian vacation rental market is the increasing popularity of rural and countryside properties. Tourists are drawn to the serene and picturesque settings offered by these accommodations, providing a peaceful retreat from the hustle and bustle of city life. Additionally, the rise of digital platforms and online booking services has made it easier for property owners to list their rentals and for travelers to discover and book them.

Local special circumstances: Ukraine's rich cultural heritage and diverse landscapes offer a wide range of vacation rental opportunities, from cozy cottages in the Carpathian Mountains to charming apartments in historic cities like Lviv and Kyiv. The affordability of vacation rentals compared to traditional hotels also makes them an attractive option for budget-conscious travelers looking for comfortable and unique lodging options.

Underlying macroeconomic factors: The growing middle class in Ukraine, coupled with increasing disposable incomes, has fueled domestic tourism and the demand for alternative accommodation choices like vacation rentals. Additionally, the country's efforts to promote tourism and improve infrastructure have made it more accessible and appealing to both domestic and international travelers, further driving the growth of the vacation rental market.

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.