Hotels - Turkmenistan

  • Turkmenistan
  • By 2024, the Hotels market in Turkmenistan is projected to witness a revenue of US$6.94m.
  • This revenue is anticipated to exhibit an annual growth rate (CAGR 2024-2029) of 7.28%, which will result in a projected market volume of US$9.86m by 2029.
  • Furthermore, it is expected that the number of users in this market will reach 82.96k users by 2029.
  • The user penetration rate, which is 1.0% in 2024, is predicted to increase to 1.2% by 2029.
  • The average revenue per user (ARPU) is expected to be US$109.10.
  • Additionally, it is projected that 78% of the total revenue in the Hotels market will be generated through online sales by 2029.
  • In terms of global comparison, United States is expected to generate the highest revenue in the Hotels market, which is projected to be US$110,600m in 2024.
  • Turkmenistan's hotel market is growing, with new luxury hotels being built to accommodate increasing tourism.

Key regions: Vietnam, Indonesia, United Kingdom, Malaysia, Saudi Arabia

 
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Analyst Opinion

The Hotels market in Turkmenistan is experiencing a notable shift in recent years, driven by various factors influencing the industry.

Customer preferences:
Travelers in Turkmenistan are increasingly seeking unique and authentic experiences when choosing accommodations. This has led to a rise in demand for boutique hotels and eco-friendly lodgings that offer a more personalized and sustainable stay. Additionally, there is a growing interest in hotels that cater to wellness tourism, providing facilities such as spas, yoga classes, and healthy dining options.

Trends in the market:
One prominent trend in the Turkmenistan Hotels market is the government's focus on developing tourism infrastructure to attract more international visitors. This includes investments in luxury hotels and resorts to accommodate the rising number of tourists. Furthermore, there is a noticeable trend towards digitalization in the hotel industry, with many establishments adopting online booking platforms and digital concierge services to enhance the guest experience.

Local special circumstances:
Turkmenistan's unique cultural heritage and natural attractions play a significant role in shaping the Hotels market. Many hotels in the country emphasize traditional Turkmen architecture and design elements to showcase the local culture and heritage. Moreover, the government's promotion of Turkmenistan as a tourist destination has led to an increase in international hotel chains entering the market, bringing with them global standards of hospitality and service.

Underlying macroeconomic factors:
The Hotels market in Turkmenistan is also influenced by macroeconomic factors such as government policies, exchange rates, and global economic trends. The stability of the local currency, government incentives for tourism development, and fluctuations in international travel patterns all impact the performance of hotels in the country. Additionally, Turkmenistan's geopolitical position and diplomatic relations with other countries can affect tourist arrivals and overall demand for hotel accommodations.

Methodology

Data coverage:

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

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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