Restaurant Delivery - Puerto Rico

Puerto Rico

Highlights

The Restaurant Delivery market in Puerto Rico is projected to reach a revenue of US$25.07m by 2024.
It is expected to show a compound annual growth rate (CAGR 2024-2029) of 2.34%, resulting in a projected market volume of US$28.15m by 2029.
By 2029, the number of users in the Restaurant Delivery market is expected to amount to 575.6k users.
The user penetration in Puerto Rico is projected to be 13.9% in 2024 and is expected to increase to 17.6% by 2029.
The average revenue per user (ARPU) is expected to be US$55.10.
In global comparison, United States is anticipated to generate the most revenue in the Restaurant Delivery market, with US$36.95bn in 2024.
South Korea has the highest projected user penetration rate in the market, with a rate of 44.8%.
Puerto Rico is experiencing a surge in restaurant delivery services, as consumers seek convenient and hassle-free dining options during the pandemic.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Puerto Rican food scene is a melting pot of different cultures, with influences from Spanish, African, and indigenous Taíno cuisine. This diversity is reflected in the restaurant delivery market, which has seen significant growth in recent years.

Customer preferences: Puerto Ricans have a strong preference for traditional dishes, such as mofongo (a mashed plantain dish) and arroz con gandules (rice with pigeon peas). However, there is also a growing demand for international cuisine, particularly from American fast-food chains. Convenience is also an important factor for customers, with many opting for delivery services to save time.

Trends in the market: One of the biggest trends in the Puerto Rican restaurant delivery market is the rise of online ordering platforms. These platforms allow customers to easily browse menus and place orders from a variety of restaurants. Another trend is the increasing popularity of healthy options, with many restaurants offering vegetarian and gluten-free dishes. The COVID-19 pandemic has also had a significant impact on the market, with more customers turning to delivery services as a safer alternative to dining in.

Local special circumstances: Puerto Rico is an unincorporated territory of the United States, which has led to a strong influence of American culture on the island. This is reflected in the restaurant delivery market, with many American fast-food chains dominating the market. However, there is also a strong demand for traditional Puerto Rican cuisine, particularly from tourists looking to experience the local culture.

Underlying macroeconomic factors: Puerto Rico has faced economic challenges in recent years, including a debt crisis and natural disasters such as Hurricane Maria. This has led to a decline in the overall restaurant industry, with many businesses struggling to stay afloat. However, the restaurant delivery market has been able to thrive despite these challenges, offering a convenient and accessible option for customers. Additionally, the COVID-19 pandemic has led to increased demand for delivery services, further boosting the market.

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. 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, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.