Vacation Rentals - Tunisia

  • Tunisia
  • Tunisia is projected to reach a revenue of US$65.97m in the Vacation Rentals market by 2024.
  • The market is expected to grow annually at a rate of 7.05% between 2024 and 2029, resulting in a projected market volume of US$92.76m by 2029.
  • The number of users is expected to reach 1.42m users by 2029, with a user penetration of 9.0% in 2024 and an expected increase to 10.9% by 2029.
  • The average revenue per user (ARPU) is expected to be US$58.59.
  • By 2029, 73% of total revenue in the Vacation Rentals market is expected to be generated through online sales.
  • In terms of global comparison, United States is projected to generate the most revenue in the Vacation Rentals market with US$20,270m in 2024.
  • Tunisia's Vacation Rentals market has seen an increase in demand for properties located near its stunning Mediterranean beaches.

Key regions: India, Vietnam, Saudi Arabia, Singapore, Germany

 
Market
 
Region
 
Region comparison
 
Currency
 

Analyst Opinion

The Vacation Rentals market in Tunisia is experiencing a significant growth trajectory driven by various factors.

Customer preferences:
Travelers in Tunisia are increasingly seeking unique and authentic experiences, leading to a rise in demand for vacation rentals over traditional hotel accommodations. Visitors are looking for more spacious and private accommodations that offer a home-like environment during their stay.

Trends in the market:
One notable trend in the Tunisian vacation rental market is the increasing popularity of coastal properties, particularly in cities like Hammamet and Sousse. These beachfront rentals are in high demand among both domestic and international tourists, driving growth in this segment. Additionally, the rise of digital platforms and online booking services has made it easier for property owners to list their rentals and for travelers to find and book accommodations, contributing to the overall market expansion.

Local special circumstances:
Tunisia's diverse landscape, which includes beautiful beaches, historical sites, and vibrant cities, offers a wide range of vacation rental options to cater to different preferences. The country's rich cultural heritage and warm hospitality also attract visitors looking for immersive travel experiences, further fueling the demand for vacation rentals.

Underlying macroeconomic factors:
The Tunisian government's efforts to promote tourism and improve infrastructure have played a crucial role in boosting the vacation rental market. Investments in transportation, hospitality, and tourism facilities have enhanced the overall travel experience in the country, making it a more attractive destination for both leisure and business travelers. Additionally, favorable exchange rates and competitive pricing compared to other Mediterranean destinations have made Tunisia a cost-effective option for travelers, driving demand for vacation rentals.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of vacation rentals.

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
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Ayana Mizuno
Ayana Mizuno
Junior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)