Cruises - Tunisia

  • Tunisia
  • In 2024, the projected revenue in the Cruises market is estimated to reach US$5.39m.
  • By 2029, it is expected to grow at a Compound Annual Growth Rate (CAGR) of 8.19%, resulting in a market volume of US$7.99m.
  • The number of users in the same market is expected to reach 11.12k users by 2029.
  • As for user penetration, it is expected to increase from 0.06% in 2024 to 0.09% by 2029.
  • Additionally, the average revenue per user (ARPU) is expected to be US$0.68k.
  • It is worth mentioning that in the Cruises market, 20% of total revenue will be generated through online sales by 2029.
  • When compared globally, United States is expected to generate the most revenue in the Cruises market, with an estimated revenue of US$24,700m in 2024.
  • Tunisia's cruise market is growing due to its rich cultural heritage, beautiful landscapes, and strategic location in the Mediterranean.

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

 
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Analyst Opinion

The Cruises market in Tunisia has been showing promising signs of growth and development in recent years.

Customer preferences:
Travelers in Tunisia are increasingly drawn to the idea of exploring exotic destinations and experiencing different cultures, which has led to a rise in demand for cruise vacations. Many customers are seeking all-inclusive packages that offer convenience and value for money, making cruises an attractive option for holidaymakers in the region.

Trends in the market:
One noticeable trend in the Tunisian Cruises market is the expansion of cruise itineraries to include new and diverse ports of call. Cruise lines are introducing routes that cater to the preferences of local customers, such as stops at popular Mediterranean destinations and cultural hotspots. This trend is aimed at attracting more Tunisian travelers and enhancing their overall cruise experience.

Local special circumstances:
Tunisia's strategic location along the Mediterranean coast makes it a desirable starting point for cruise journeys in the region. The country's rich history, vibrant culture, and stunning landscapes also contribute to its appeal as a cruise destination. Moreover, the government's efforts to promote tourism and improve infrastructure have further boosted the growth of the Cruises market in Tunisia.

Underlying macroeconomic factors:
The improving economic conditions in Tunisia, coupled with rising disposable incomes among the middle class, have had a positive impact on the Cruises market. As more people have the financial means to afford luxury travel experiences, the demand for cruises has seen a steady increase. Additionally, the stability and security measures implemented in the country have helped attract foreign cruise operators and boost confidence among international travelers.

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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