Hotels - Central Asia

  • Central Asia
  • Central Asia can expect the revenue in its Hotels market to reach US$0.85bn by 2024.
  • This market is projected to grow with an annual growth rate (CAGR 2024-2029) of 7.32%, resulting in a market volume of US$1.21bn by 2029.
  • In 2029, the number of users in the Hotels market is expected to reach 12.11m users.
  • The user penetration rate is expected to increase from 7.9% in 2024 to 14.3% by 2029.
  • The average revenue per user (ARPU) is expected to be US$135.60.
  • By 2029, online sales are projected to account for 86% of the total revenue in the Hotels market.
  • It is worth noting that in global comparison, United States is expected to generate the most revenue in the Hotels market, with US$110,600m in 2024.
  • Central Asian hotels are increasingly incorporating traditional cultural elements into their designs to provide a unique guest experience.

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

 
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Analyst Opinion

The Hotels market in Central Asia is experiencing significant growth and development, driven by various factors influencing consumer behavior and market dynamics.

Customer preferences:
Travelers in Central Asia are increasingly seeking unique and authentic experiences, leading to a rising demand for boutique and luxury hotels that offer personalized services and cultural immersion. Additionally, there is a growing preference for eco-friendly and sustainable accommodation options among environmentally conscious travelers in the region.

Trends in the market:
In Kazakhstan, there is a trend towards the development of upscale hotels in major cities like Almaty and Nur-Sultan to cater to the increasing number of business travelers and tourists. Uzbekistan is witnessing a surge in tourism following recent reforms, leading to a rise in hotel construction and renovation projects to meet the growing demand. Kyrgyzstan is also experiencing a boost in its Hotels market, with a focus on promoting mountain and adventure tourism, driving the development of hotels in scenic locations.

Local special circumstances:
Central Asia's unique geographical position as a crossroads between Europe and Asia makes it a culturally diverse region with rich historical heritage, attracting a wide range of international visitors. The Silk Road legacy has also contributed to the region's appeal, prompting investments in heritage hotels and themed accommodations that reflect its historical significance.

Underlying macroeconomic factors:
The improving infrastructure and connectivity in Central Asia, coupled with government initiatives to boost tourism, are key drivers of the Hotels market growth in the region. Economic stability and increasing disposable incomes among the population are also fueling domestic travel and creating opportunities for hoteliers to expand their offerings to cater to diverse consumer segments. Additionally, the growing presence of international hotel chains and investment in hospitality training programs are enhancing the overall quality of accommodations in Central Asia.

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
  • Hotel Star Rating
  • Methodology
  • Key Market Indicators
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