Travel & Tourism - Tunisia

  • Tunisia
  • The Travel & Tourism market in Tunisia is expected to experience significant growth in the coming years.
  • By 2024, revenue is projected to reach US$370.60m, with an annual growth rate of 7.36% from 2024 to 2029.
  • This growth is expected to result in a market volume of US$528.70m by 2029.
  • The Package Holidays market is anticipated to be the largest market, with a projected market volume of US$167.10m in 2024.
  • Furthermore, the number of users is expected to increase to 1,449.00k users by 2029, with a user penetration of 16.0% in 2024 and an expected increase to 19.4% by 2029.
  • The average revenue per user (ARPU) is expected to be US$184.00.
  • Additionally, online sales are expected to generate 77% of total revenue in the Travel & Tourism market in Tunisia by 2029.
  • It is worth noting that United States is projected to generate the most revenue (US$214bn in 2024) in the global Travel & Tourism market.
  • Tunisia's Travel & Tourism market is rebounding after a period of decline, with an emphasis on cultural and eco-tourism experiences.

Key regions: Malaysia, Europe, Singapore, Vietnam, United States

 
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Analyst Opinion

The Travel & Tourism market in Tunisia has been experiencing notable developments in recent years.

Customer preferences:
Tourists visiting Tunisia are increasingly seeking authentic cultural experiences, including exploring historical sites, traditional markets, and local cuisine. Additionally, there is a growing demand for eco-friendly and sustainable tourism practices, with travelers showing interest in responsible travel options.

Trends in the market:
One significant trend in the Tunisian Travel & Tourism market is the rise of digital platforms and online booking services, making it easier for tourists to plan and customize their trips. Moreover, the government's efforts to promote the country as a safe and welcoming destination have contributed to an increase in international arrivals. The expansion of hotel chains and accommodation options also caters to the diverse needs of travelers.

Local special circumstances:
Tunisia's unique geographical location along the Mediterranean coast, coupled with its rich history and cultural heritage, sets it apart as a desirable destination for travelers. The country's diverse landscapes, from sandy beaches to ancient ruins, offer a wide range of experiences for tourists. Additionally, Tunisia's warm climate and welcoming locals create a hospitable environment for visitors.

Underlying macroeconomic factors:
The Tunisian government's focus on infrastructure development and investment in the tourism sector has played a crucial role in driving growth. Economic stability, coupled with strategic marketing campaigns to attract international tourists, has bolstered the Travel & Tourism market in Tunisia. Furthermore, partnerships with airlines and tour operators have increased accessibility to the country, contributing to the overall expansion of the market.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of hotels, vacation rentals, cruises, package holidays, and camping.

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
  • Travel Behavior
  • Global Comparison
  • Methodology
  • Key Market Indicators
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