Travel & Tourism - Dominican Republic

  • Dominican Republic
  • The Dominican Republic Travel & Tourism market is expected to experience significant growth in the coming years.
  • By 2024, the market's revenue is projected to reach US$591.60m, with an annual growth rate of 6.50% from 2024 to 2029.
  • This growth is expected to result in a market volume of US$810.50m by 2029.
  • The largest market is the Package Holidays market, which is projected to have a market volume of US$260.30m by 2024.
  • The number of users in this market is expected to reach 2,473.00k users by 2029, with a user penetration rate of 25.1% in 2024 and an expected increase to 31.7% by 2029.
  • The average revenue per user (ARPU) is forecasted to be US$206.20 in this market.
  • Moreover, it is expected that 80% of the total revenue in the Travel & Tourism market will be generated through online sales by 2029.
  • The United States is projected to generate the most revenue in global comparison, with US$214bn in 2024.
  • The Dominican Republic's tourism industry is rebounding, with a focus on sustainable ecotourism and all-inclusive resorts.

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

 
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Analyst Opinion

The Travel & Tourism market in Dominican Republic is experiencing significant growth and development.

Customer preferences:
Travelers in Dominican Republic are increasingly seeking unique and authentic experiences that allow them to immerse themselves in the local culture. They are drawn to eco-tourism activities, adventure travel, and opportunities to engage with the rich history and vibrant traditions of the country.

Trends in the market:
One notable trend in the Dominican Republic's Travel & Tourism market is the rise of sustainable tourism practices. As travelers become more environmentally conscious, there is a growing demand for eco-friendly accommodations, responsible tour operators, and conservation initiatives. Additionally, the country's diverse landscape, which includes stunning beaches, lush rainforests, and majestic mountains, continues to attract a wide range of visitors seeking different experiences.

Local special circumstances:
The Dominican Republic's strategic location in the Caribbean, coupled with its well-developed infrastructure and range of accommodation options, has positioned it as a popular destination for both leisure and business travelers. The country's warm climate, friendly locals, and vibrant music and dance scene also contribute to its appeal among tourists.

Underlying macroeconomic factors:
The Dominican Republic's stable economic growth, government investments in tourism infrastructure, and marketing efforts to promote the country as a premier travel destination have all played a role in driving the expansion of the Travel & Tourism market. Additionally, the government's commitment to enhancing safety and security for visitors has helped to build trust and confidence among travelers, further supporting the industry's growth.

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
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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