Vacation Rentals - Haiti

  • Haiti
  • Haiti is expected to witness a rise in the Vacation Rentals market revenue, which is projected to reach US$42.40m in 2024.
  • Furthermore, this revenue is anticipated to exhibit an annual growth rate (CAGR 2024-2028) of 5.68%, culminating in a projected market size of US$52.88m by 2028.
  • As for the number of users in the Vacation Rentals market of Haiti, it is predicted to be 0.94m users by 2028.
  • In 2024, user penetration is estimated to be 7.0%, and this figure is expected to climb to 7.6% by 2028.
  • The average revenue per user (ARPU) is likely to be around US$51.28 in the Vacation Rentals market of Haiti.
  • Online sales are expected to generate 41% of the total revenue in the Vacation Rentals market of Haiti by 2028.
  • In a global comparison, United States is expected to generate the highest revenue of US$19,770m in 2024 in the Vacation Rentals market.
  • Haiti's Vacation Rentals market is slowly gaining traction as more tourists seek unique cultural experiences in the country's vibrant cities and picturesque coastal towns.

Key regions: Vietnam, United States, United Kingdom, Indonesia, Malaysia

 
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Analyst Opinion

Amidst the vibrant cultural heritage and stunning natural landscapes of Haiti, the Vacation Rentals market is experiencing notable developments.

Customer preferences:
Travelers in Haiti are increasingly seeking unique and authentic experiences, opting for vacation rentals that offer a more personalized touch compared to traditional hotel stays. This shift in preferences is driven by a desire to immerse themselves in the local culture and lifestyle, contributing to the rising demand for vacation rental properties across the country.

Trends in the market:
One prominent trend in the Haitian Vacation Rentals market is the growing popularity of eco-friendly and sustainable accommodations. Travelers are showing a preference for properties that prioritize environmental conservation and promote responsible tourism practices. This trend aligns with global efforts towards sustainability and eco-tourism, reflecting a broader shift in consumer behavior.

Local special circumstances:
Haiti's unique blend of French, African, and Caribbean influences is reflected in the diverse range of vacation rental properties available throughout the country. From charming creole cottages to modern beachfront villas, travelers have a wide selection of accommodations to choose from, each offering a distinct experience tailored to their preferences. This cultural richness sets Haiti apart as a compelling destination for vacation rentals.

Underlying macroeconomic factors:
The Vacation Rentals market in Haiti is also influenced by macroeconomic factors such as infrastructure development and political stability. Improvements in infrastructure, including transportation networks and communication systems, have made it easier for travelers to access and book vacation rental properties in Haiti. Additionally, a stable political environment fosters confidence among tourists and investors, supporting the growth of the vacation rental market in the country.

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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