Cruises - Mongolia

  • Mongolia
  • It is forecasted that in 2024, the revenue in the Cruises market will reach US$2.23m.
  • Moreover, the revenue is anticipated to exhibit an annual growth rate (CAGR 2024-2028) of 16.94%, culminating in a projected market volume of US$4.17m by 2028.
  • By 2028, the number of users in the Cruises market is predicted to be 5.12k users.
  • The user penetration in 2024 is 0.09% and it is expected to increase to 0.14% by 2028.
  • The average revenue per user (ARPU) is expected to reach US$0.71k.
  • Furthermore, it is estimated that 18% of the total revenue in the Cruises market will be generated through online sales by 2028.
  • It is noteworthy to mention that in global comparison, United States is projected to generate the most revenue (US$15,160m in 2024).
  • Despite being a landlocked country, Mongolia's growing middle class is showing increased interest in luxury river cruises on the Mekong and Irrawaddy rivers.

Key regions: Germany, Singapore, Indonesia, India, Vietnam

 
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Analyst Opinion

The Cruises market in Mongolia is experiencing a gradual but steady growth, reflecting a global trend towards experiential travel and exploration.

Customer preferences:
Travelers in Mongolia are increasingly seeking unique and immersive experiences, which has led to a rise in demand for cruise vacations. The opportunity to visit multiple destinations in one trip, combined with the convenience of unpacking only once, appeals to customers looking to maximize their travel experiences.

Trends in the market:
One notable trend in the Mongolian Cruises market is the increasing popularity of river cruises. Mongolia's stunning natural landscapes and the presence of rivers like the Orkhon River provide a picturesque backdrop for travelers seeking a different kind of cruise experience. River cruises offer a more intimate and serene journey, attracting travelers looking to explore off-the-beaten-path destinations.

Local special circumstances:
Mongolia's landlocked geography presents a unique challenge for the cruise industry, as traditional ocean cruises are not feasible. However, this has paved the way for innovative cruise offerings that cater to the local market, such as river cruises and expedition cruises that explore Mongolia's diverse landscapes and cultural heritage.

Underlying macroeconomic factors:
The growing disposable income and expanding middle class in Mongolia have contributed to the increasing demand for cruise vacations. As more Mongolians have the financial means to travel, the cruise industry is poised to benefit from this trend. Additionally, the government's efforts to promote tourism and infrastructure development have created a conducive environment for the growth of the Cruises market in Mongolia.

Methodology

Data coverage:

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

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
  • Key Players
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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