Vacation Rentals - Central Asia

  • Central Asia
  • Central Asia is expected to witness a rise in revenue in the Vacation Rentals market in the coming years.
  • The revenue in this market is expected to reach US$248.60m by 2024, with an anticipated annual growth rate (CAGR 2024-2029) of 5.99%, resulting in a projected market volume of US$332.50m by 2029.
  • Moreover, the number of users in this market is expected to reach 6.53m users by 2029, with a user penetration rate of 5.8% in 2024, which is projected to increase to 7.7% by 2029.
  • The average revenue per user (ARPU) is expected to be US$54.42.
  • It is worth mentioning that 83% of the total revenue in the Vacation Rentals market is expected to be generated through online sales by 2029.
  • Finally, it is worth noting that in the global comparison, United States is projected to generate the most revenue, with an expected revenue of US$20,270m in 2024.
  • Central Asian Vacation Rentals market is experiencing a rise in demand from adventure-seeking travelers looking to explore the region's natural beauty.

Key regions: India, Vietnam, Saudi Arabia, Singapore, Germany

 
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Analyst Opinion

The Vacation Rentals market in Central Asia is experiencing a surge in popularity, driven by changing customer preferences and unique local circumstances.

Customer preferences:
Travelers in Central Asia are increasingly seeking unique and authentic experiences, opting for vacation rentals over traditional hotels. The desire to immerse themselves in local culture and live like a resident is driving the demand for vacation rental properties. Additionally, the flexibility and cost-effectiveness of vacation rentals appeal to budget-conscious travelers looking for affordable accommodation options.

Trends in the market:
In countries like Kazakhstan and Uzbekistan, there is a growing trend of property owners capitalizing on the tourism boom by converting their homes into vacation rentals. This trend not only expands the accommodation options for travelers but also boosts the local economy by encouraging entrepreneurship in the hospitality sector. Moreover, the rise of online platforms and apps facilitating easy booking and payment processes has made vacation rentals more accessible to a wider audience.

Local special circumstances:
Central Asia's rich cultural heritage and diverse landscapes make it an attractive destination for travelers seeking off-the-beaten-path experiences. Countries like Kyrgyzstan with its stunning mountain ranges and Turkmenistan with its historical sites are witnessing an increase in demand for vacation rentals in unique locations. The region's warm hospitality and welcoming locals also contribute to the growing popularity of vacation rentals as visitors look for authentic interactions and personalized service.

Underlying macroeconomic factors:
The improving infrastructure and connectivity in Central Asia, coupled with government initiatives to promote tourism, are driving the growth of the vacation rentals market. As the region opens up to international visitors and invests in tourism development, the demand for alternative accommodation options like vacation rentals is expected to continue rising. Additionally, the economic benefits of hosting tourists in vacation rental properties are incentivizing property owners to participate in the market, further fueling its expansion.

Methodology

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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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