Hotels - Haiti

  • Haiti
  • The projection for revenue in Haiti's Hotels market indicates an increase to US$116.10m by 2024.
  • The anticipated annual growth rate (CAGR 2024-2029) of 8.70% is expected to drive the revenue to US$176.20m by 2029.
  • Additionally, the number of users in the Hotels market is predicted to reach 1.24m users by 2029.
  • The current user penetration of 9.8% is expected to rise to 9.9% by 2029.
  • The average revenue per user (ARPU) is expected to be US$99.85.
  • Furthermore, it is projected that 48% of the total revenue in Haiti's Hotels market will be generated through online sales by 2029.
  • In a global comparison, United States is expected to generate the highest revenue, amounting to US$110,600m in 2024.
  • Haiti's Hotel market is slowly recovering from the devastating 2010 earthquake, with new luxury and boutique hotels opening up to serve the country's growing tourism industry.

Key regions: Vietnam, Indonesia, United Kingdom, Malaysia, Saudi Arabia

 
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Analyst Opinion

The Hotels market in Haiti has been experiencing significant growth and development in recent years.

Customer preferences:
Travelers in Haiti are increasingly seeking unique and authentic experiences, leading to a rise in demand for boutique hotels and eco-friendly accommodations. Tourists are also showing a preference for hotels that offer cultural immersion and local experiences, reflecting a global trend towards experiential travel.

Trends in the market:
One of the notable trends in the Haitian Hotels market is the increasing investment in luxury hotels and resorts, catering to high-end travelers looking for luxury amenities and personalized services. Additionally, there is a growing trend towards sustainable tourism practices, with many hotels in Haiti implementing eco-friendly initiatives to attract environmentally conscious guests.

Local special circumstances:
Haiti's unique cultural heritage and natural beauty make it a popular destination for tourists seeking off-the-beaten-path experiences. The country's rich history, vibrant art scene, and stunning landscapes contribute to its appeal as a travel destination. Hotels in Haiti often incorporate local art, music, and cuisine into their offerings to provide guests with an authentic Haitian experience.

Underlying macroeconomic factors:
The growth of the Hotels market in Haiti can be attributed to several macroeconomic factors, including government initiatives to promote tourism, improvements in infrastructure, and a growing economy. The government's focus on developing the tourism sector as a key driver of economic growth has led to increased investment in the hospitality industry, spurring the development of new hotels and resorts across the country. Additionally, ongoing efforts to improve transportation networks and enhance overall safety and security have helped to attract more visitors to Haiti, further fueling the growth of the Hotels market.

Methodology

Data coverage:

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

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
  • Hotel Star Rating
  • Methodology
  • Key Market Indicators
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