Vacation Rentals - Tajikistan

  • Tajikistan
  • In Tajikistan, the projected revenue for the Vacation Rentals market in 2024 is US$7.58m.
  • It is expected to grow annually at a rate of 5.36%, resulting in a projected market volume of US$9.84m by 2029.
  • Additionally, the number of users in this market is expected to reach 454.70k users by 2029.
  • In 2024, the user penetration rate is projected to be 2.8% and is expected to increase to 4.0% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$26.43.
  • By 2029, around 64% of the total revenue in the Vacation Rentals market will be generated through online sales.
  • It is noteworthy that in global comparison, United States is expected to generate the most revenue in this market, with a projected revenue of US$20,270m in 2024.
  • Despite its untapped potential, the Vacation Rentals market in Tajikistan remains underdeveloped due to limited infrastructure and lack of government support.

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

 
Market
 
Region
 
Region comparison
 
Currency
 

Analyst Opinion

The Vacation Rentals market in Tajikistan has been experiencing a notable growth in recent years.

Customer preferences:
Travelers in Tajikistan are increasingly opting for vacation rentals over traditional hotel stays due to the flexibility, affordability, and authenticity they offer. The demand for unique and local experiences has been driving customers towards vacation rentals, where they can immerse themselves in the culture and lifestyle of the destination.

Trends in the market:
One of the prominent trends in the Vacation Rentals market in Tajikistan is the rise of online platforms connecting property owners with travelers. This trend has significantly expanded the options available to customers, allowing them to choose from a wide range of accommodations across the country. Additionally, the growing popularity of eco-tourism and sustainable travel practices has led to an increase in eco-friendly vacation rentals in Tajikistan.

Local special circumstances:
Tajikistan's unique geographical features, such as its stunning mountain landscapes and rich cultural heritage, have positioned it as an attractive destination for travelers seeking adventure and authenticity. This has contributed to the growth of the Vacation Rentals market in the country, with many properties offering panoramic views and proximity to outdoor activities.

Underlying macroeconomic factors:
The improving economic conditions in Tajikistan, coupled with government initiatives to promote tourism, have played a significant role in driving the growth of the Vacation Rentals market. As disposable incomes rise and infrastructure development continues, more travelers are able to explore Tajikistan, leading to an increased demand for vacation rental accommodations. Additionally, the country's strategic location along the Silk Road route has made it a key player in the regional tourism industry, further boosting the Vacation Rentals market.

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
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Ayana Mizuno
Ayana Mizuno
Junior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)