Cruises - Zimbabwe

  • Zimbabwe
  • By 2024, the projected revenue for the Cruises market is expected to reach US$0.80m.
  • The revenue is forecasted to achieve an annual growth rate (CAGR 2024-2029) of 11.52%, resulting in a projected market volume of US$1.38m by 2029.
  • In Zimbabwe, the number of users in the Cruises market is expected to reach 19.72k users by 2029.
  • The user penetration is anticipated to remain at 0.01% from 2024 to 2029.
  • Moreover, the average revenue per user (ARPU) in the market is projected to be US$350.30.
  • Furthermore, online sales in the Cruises market sector are expected to contribute 18% of the total revenue by 2029.
  • Lastly, in global comparison, United States is anticipated to generate the highest revenue in the Cruises market, amounting to US$24,700m by 2024.
  • Despite Zimbabwe's landlocked location, the country's tourism industry is seeing growth in river cruises along the Zambezi River.

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

 
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Analyst Opinion

The Cruises market in Zimbabwe has been experiencing a notable growth in recent years, reflecting a global trend towards experiential travel and the increasing popularity of cruise vacations among travelers worldwide.

Customer preferences:
Travelers in Zimbabwe are increasingly seeking unique and immersive experiences, driving the demand for cruise vacations. The allure of exploring different destinations in a single trip, combined with the convenience and luxury offered by cruise ships, has made cruising an attractive option for many Zimbabwean tourists.

Trends in the market:
One of the key trends in the Cruises market in Zimbabwe is the rise of themed cruises catering to specific interests such as wildlife, culture, or adventure. These specialized cruises appeal to niche markets within Zimbabwe, offering tailored experiences that resonate with the preferences of local travelers.

Local special circumstances:
Zimbabwe's proximity to popular cruise destinations such as South Africa and the Indian Ocean islands has contributed to the growth of the Cruises market in the country. The availability of cruise itineraries that include stops in neighboring countries has made cruising more accessible to Zimbabwean tourists, further fueling the market's expansion.

Underlying macroeconomic factors:
The improving economic conditions in Zimbabwe have also played a role in the development of the Cruises market. As disposable incomes rise and consumer confidence increases, more Zimbabweans are able to afford cruise vacations, leading to a higher demand for such travel experiences in the country. Additionally, the government's efforts to promote tourism and improve infrastructure have helped create a favorable environment for the growth of the Cruises market in Zimbabwe.

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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