Vacation Rentals - Gambia

  • Gambia
  • By 2024, revenue in Gambia's Vacation Rentals market sector is projected to reach US$1.93m, with an expected annual growth rate (CAGR 2024-2029) of 5.06%.
  • This growth is expected to result in a projected market volume of US$2.47m by 2029.
  • The number of users in this sector is expected to amount to 57.87k users by 2029, with user penetration of 1.5% in 2024 and a projected increase to 1.8% by 2029.
  • The average revenue per user (ARPU) is projected to amount to US$46.26.
  • Additionally, in Gambia's Vacation Rentals market, 54% of the total revenue is expected to be generated through online sales by 2029.
  • When compared globally, United States is projected to generate the most revenue in this sector, with US$20,270m expected in 2024.
  • Despite its beautiful beaches and sunny weather, Gambia's Vacation Rentals market is still in its infancy, with limited options and low occupancy rates.

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

 
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Analyst Opinion

The Vacation Rentals market in Gambia is experiencing significant growth and development driven by various factors.

Customer preferences:
Travelers in Gambia are increasingly seeking unique and authentic experiences, leading to a growing demand for vacation rentals over traditional accommodation options. Customers prefer the flexibility, privacy, and local immersion that vacation rentals offer, contributing to the popularity of this market segment.

Trends in the market:
One notable trend in the Gambia Vacation Rentals market is the rise of eco-friendly and sustainable properties. Travelers are showing a preference for environmentally conscious accommodation options, prompting property owners to invest in eco-friendly practices and amenities to attract more guests. Additionally, the increasing popularity of remote work is driving a trend of longer stays in vacation rentals, with visitors opting to combine work and leisure in picturesque settings.

Local special circumstances:
Gambia's reputation as a safe and welcoming destination for tourists plays a significant role in the growth of the Vacation Rentals market. The country's stable political environment and beautiful natural landscapes attract visitors seeking a peaceful retreat. Moreover, the cultural richness and vibrant local communities in Gambia contribute to the appeal of vacation rentals, offering guests an opportunity to engage with the authentic Gambian way of life.

Underlying macroeconomic factors:
The growing tourism sector in Gambia, supported by government initiatives and infrastructure development, is a key macroeconomic factor driving the expansion of the Vacation Rentals market. As the country invests in improving its tourism industry and promoting Gambia as a desirable destination, the demand for vacation rentals is expected to continue rising. Additionally, the affordability of vacation rentals compared to traditional hotels appeals to budget-conscious travelers, further fueling the market growth.

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
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