Travel & Tourism - Kyrgyzstan

  • Kyrgyzstan
  • In Kyrgyzstan, the Travel & Tourism market is expected to reach a revenue of US$62.82m by 2024.
  • The projected annual growth rate (CAGR 2024-2029) of 5.18% is expected to result in a market volume of US$80.86m by 2029.
  • The Hotels market is projected to be the largest market, with a market volume of US$36.73m by 2024.
  • By 2029, the number of users is expected to reach 477.90k users.
  • In 2024, user penetration is projected to be 7.5% and is expected to increase to 10.1% by 2029.
  • The average revenue per user (ARPU) is expected to be US$123.00.
  • By 2029, 74% of the total revenue in the Travel & Tourism market will be generated through online sales.
  • In global comparison, United States is projected to generate the most revenue, with US$214bn in 2024.
  • Kyrgyzstan's unique blend of nomadic culture, stunning landscapes and affordable prices make it an emerging destination for adventure tourism.

Key regions: Malaysia, Europe, Singapore, Vietnam, United States

 
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Analyst Opinion

The Travel & Tourism market in Kyrgyzstan has been experiencing notable developments in recent years.

Customer preferences:
Travelers in Kyrgyzstan are increasingly seeking unique and authentic experiences, driving the demand for off-the-beaten-path destinations and cultural immersion. This trend aligns with the global shift towards experiential travel, where tourists look for meaningful interactions with local communities and nature.

Trends in the market:
One prominent trend in the Kyrgyzstan travel market is the growing popularity of eco-tourism and adventure travel. The country's stunning natural landscapes, including the Tien Shan mountains and Issyk-Kul Lake, attract outdoor enthusiasts and eco-conscious travelers. Additionally, the rise of digital nomadism has led to an increase in long-term stays by remote workers and freelancers, further boosting the tourism sector.

Local special circumstances:
Kyrgyzstan's unique nomadic heritage and traditional yurt accommodations offer visitors a glimpse into the country's rich cultural history. This emphasis on preserving and showcasing indigenous customs sets Kyrgyzstan apart as a distinctive travel destination. The country's warm hospitality and emphasis on community-based tourism also contribute to its appeal among travelers seeking authentic cultural experiences.

Underlying macroeconomic factors:
Kyrgyzstan's strategic location along the ancient Silk Road has positioned it as a key player in regional tourism. The government's efforts to promote the sector through infrastructure development and marketing campaigns have helped attract international visitors. Additionally, the country's visa liberalization policies and improved air connectivity have made it more accessible to tourists from around the world. Economic diversification and the growth of the middle class have also contributed to the expansion of the travel and tourism market in Kyrgyzstan.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of hotels, vacation rentals, cruises, package holidays, and camping.

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
  • Travel Behavior
  • Global Comparison
  • Methodology
  • Key Market Indicators
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