Retail Delivery - Dominican Republic

Dominican Republic

Highlights

The Reail Delivery market in the Dominican Republic is expected to reach a revenue of US$33.10m in 2024.
This projection suggests an annual growth rate (CAGR 2024-2029) of 13.97%, resulting in a projected market volume of US$63.66m by 2029.
Furthermore, the number of users in the Reail Delivery market is expected to reach 2.5m users by 2029.
In 2024, the user penetration is estimated to be 16.3%, and it is projected to increase to 21.4% by 2029.
The average revenue per user (ARPU) is expected to be US$17.72.
When compared globally, United States is anticipated to generate the highest revenue in the Reail Delivery market, amounting to US$195.40bn in 2024.
The United States, on the other hand, is projected to have the highest user penetration rate of 30.4%.
"The retail delivery market in the Dominican Republic is experiencing a surge in online ordering and home delivery services due to the current pandemic."

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Dominican Republic is a country known for its beautiful beaches, rich culture, and delicious cuisine. However, the country is also experiencing significant growth in its retail delivery market.

Customer preferences: Dominican customers are increasingly demanding convenience and speed when it comes to their shopping experience. This has led to a surge in demand for online shopping and home delivery services. Customers are also looking for more variety and quality in the products they purchase, which has led to an increase in international retailers entering the market.

Trends in the market: One of the biggest trends in the Dominican retail delivery market is the growth of e-commerce. Online shopping has become increasingly popular in recent years, with more and more customers opting to shop from the comfort of their own homes. This has led to a rise in demand for home delivery services, with companies like Amazon and Uber Eats entering the market.Another trend in the market is the increase in international retailers. Companies like Walmart, Ikea, and Zara have all opened stores in the Dominican Republic in recent years, offering customers a wider range of products and prices. This has led to increased competition among retailers, which has resulted in lower prices for consumers.

Local special circumstances: The Dominican Republic has a large population of young people who are tech-savvy and comfortable with online shopping. This has helped to drive the growth of e-commerce in the country. Additionally, the country has a growing middle class that is increasingly interested in purchasing high-quality products from international retailers.

Underlying macroeconomic factors: The Dominican Republic has experienced steady economic growth in recent years, which has helped to drive consumer spending. Additionally, the government has implemented policies to encourage foreign investment in the country, which has led to an increase in international retailers entering the market. The country's strategic location in the Caribbean also makes it an attractive market for companies looking to expand their operations in the region.

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.