Cruises - Central Africa

  • Central Africa
  • By 2024, the projected revenue for the Cruises market in Central Africa is expected to reach US$12.52m.
  • Over the following four years, the market revenue is projected to experience an annual growth rate of 6.40%, resulting in a predicted market volume of US$17.07m by 2029.
  • In terms of user numbers, the Cruises market is expected to have 31.58k users users by 2029, with a user penetration of 0.03%, up from 0.02% in 2024.
  • The average revenue per user (ARPU) is expected to be US$0.61k.
  • Online sales are expected to generate 21% of the total revenue by 2029.
  • It is worth noting that United States will generate the highest revenue in comparison to other countries, amounting to US$24,700m by 2024.
  • Although Central Africa is not a popular destination for cruises, the Congo River is an increasingly popular attraction for adventurous travelers seeking an authentic African experience.

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

 
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Analyst Opinion

The Cruises market in Central Africa is showing promising signs of development, with an increasing number of travelers opting for cruise vacations in the region.

Customer preferences:
Travelers in Central Africa are increasingly seeking unique and experiential travel opportunities, leading to a growing interest in cruise vacations. The allure of exploring multiple destinations in one trip, coupled with the convenience and luxury offered by cruise ships, is appealing to a wide range of customers in the region.

Trends in the market:
One notable trend in the Central African Cruises market is the rise of themed cruises catering to specific interests such as wildlife, culture, and adventure. These themed cruises offer a more tailored experience for travelers looking to immerse themselves in a particular aspect of the region's offerings. Additionally, an increase in partnerships between cruise companies and local tour operators is enhancing the overall travel experience for customers by providing unique onshore excursions and cultural interactions.

Local special circumstances:
Central Africa's unique geographical features, such as its stunning coastlines, pristine beaches, and vibrant marine life, make it an attractive destination for cruise companies looking to expand their offerings. The region's rich cultural heritage and diverse landscapes provide a wealth of opportunities for cruise itineraries that showcase the best of Central Africa's natural and cultural attractions.

Underlying macroeconomic factors:
The growing stability and economic development in Central Africa are contributing to the rise of the Cruises market in the region. As disposable incomes increase and infrastructure improves, more travelers are able to afford and access cruise vacations, driving demand for cruise services in Central Africa. Additionally, government initiatives to promote tourism and investment in the region are further fueling the growth of the Cruises market.

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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