Cruises - Gambia

  • Gambia
  • By 2024, revenue in the Cruises market in Gambia is projected to reach US$133.50k.
  • The revenue is expected to grow annually at a rate of 4.75%, resulting in a projected market volume of US$168.40k by 2029.
  • The projected number of users in the Cruises market is expected to amount to 362.80users by 2029.
  • The user penetration in 2024 is 0.01%, and it is expected to remain the same by 2029.
  • The ARPU is expected to be US$0.58k.
  • In the Cruises market in Gambia, online sales are expected to generate 19% of the total revenue by 2029.
  • It is interesting to note that in global comparison, United States is expected to generate the most revenue in the Cruises market, with a projected revenue of US$24,700m in 2024.
  • Despite being a small market, Gambia's cruise industry is growing rapidly due to its unique river and coastal routes.

Key regions: Indonesia, Singapore, United States, India, Vietnam

 
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Analyst Opinion

The Cruises market in Gambia has been experiencing a notable growth in recent years, attracting both domestic and international tourists to explore the beautiful coastlines and rivers of the country.

Customer preferences:
Tourists visiting Gambia have shown a growing interest in exploring the country through cruise experiences, seeking unique ways to enjoy the scenic beauty of the region. Many travelers are drawn to the idea of combining relaxation on luxury cruise ships with immersive cultural experiences on shore.

Trends in the market:
One of the key trends in the Cruises market in Gambia is the rise of small boutique cruise operators offering personalized and intimate experiences for travelers. These operators cater to niche markets and provide specialized services that appeal to tourists looking for exclusive and authentic travel experiences in the region. Additionally, there has been an increase in themed cruises focusing on wildlife, cultural heritage, and eco-tourism, aligning with the growing demand for sustainable travel options.

Local special circumstances:
Gambia's unique geographical location, with its diverse river systems and access to the Atlantic Ocean, presents a special opportunity for the development of the Cruises market. The country's rich cultural heritage, vibrant local markets, and abundant wildlife further enhance the appeal of cruise tourism in Gambia, offering visitors a well-rounded experience that combines relaxation, adventure, and cultural immersion.

Underlying macroeconomic factors:
The development of the Cruises market in Gambia is also influenced by macroeconomic factors such as government support for tourism development, infrastructure investments, and promotional efforts to attract more international visitors. As the tourism industry continues to grow in Gambia, the Cruises market stands to benefit from the overall increase in tourist arrivals and the diversification of the country's tourism offerings.

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