Package Holidays - Turkmenistan

  • Turkmenistan
  • By 2024, the Package Holidays market in Turkmenistan is projected to reach a revenue of US$35.48m.
  • Moreover, there is an expected annual growth rate (CAGR 2024-2029) of 7.37%, which is expected to result in a market volume of US$50.62m by 2029.
  • In Turkmenistan, the number of users in the Package Holidays market is expected to amount to 195.40k users by 2029.
  • The user penetration rate is expected to increase from 2.3% in 2024 to 2.8% by 2029.
  • The average revenue per user (ARPU) is expected to be US$230.80.
  • Furthermore, it is projected that 61% of the total revenue in the Package Holidays market will be generated through online sales by 2029.
  • In a global comparison, it is noteworthy that the highest revenue in this market is expected to be generated China, projected to be US$49,250m in 2024.
  • Despite a lack of tourism infrastructure and limited options, Turkmenistan offers unique package holiday experiences for adventurous travelers.

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

 
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Analyst Opinion

Over the past few years, the Package Holidays market in Turkmenistan has been experiencing a steady growth trajectory, driven by several key factors.

Customer preferences:
In Turkmenistan, customers are increasingly looking for hassle-free travel experiences, opting for package holidays that offer convenience, affordability, and a wide range of services bundled together. This trend is in line with global consumer preferences, where travelers seek all-inclusive options that cater to their needs without the stress of planning each aspect of the trip individually.

Trends in the market:
One notable trend in the Package Holidays market in Turkmenistan is the rise of domestic tourism. As more locals look to explore their own country and discover hidden gems within Turkmenistan, there is a growing demand for package holidays that showcase the country's cultural heritage, natural beauty, and unique attractions. This trend is also fueled by the government's efforts to promote tourism domestically, leading to an increase in domestic travel packages.

Local special circumstances:
Turkmenistan's unique cultural heritage and historical sites make it an attractive destination for both domestic and international tourists. The country's rich history, diverse landscapes, and traditional crafts appeal to travelers looking for authentic experiences. Additionally, Turkmenistan's strategic location along the Silk Road route adds to its appeal as a cultural and historical tourism destination, further driving the demand for package holidays that highlight these aspects.

Underlying macroeconomic factors:
The growing economy in Turkmenistan has led to an increase in disposable income among the population, allowing more people to afford travel packages. Additionally, the government's focus on developing the tourism sector as part of its economic diversification strategy has led to investments in infrastructure, accommodation, and tourism services, further boosting the Package Holidays market. Overall, the combination of improving economic conditions, government support for the tourism sector, and the country's unique attractions is driving the growth of the Package Holidays market in Turkmenistan.

Methodology

Data coverage:

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

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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