Retail Delivery - Uruguay

Uruguay

Highlights

The projected revenue in the Reail Delivery market in Uruguay is estimated to reach US$39.99m by 2024.
It is expected to demonstrate a compound annual growth rate (CAGR 2024-2029) of 9.07%, resulting in a projected market volume of US$61.72m by 2029.
Furthermore, the number of users in the Reail Delivery market is anticipated to reach 693.1k users by 2029.
The user penetration rate is projected to be 14.5% in 2024 and is expected to increase to 20.2% by 2029.
The average revenue per user (ARPU) is estimated to be US$80.40.
In comparison to other countries, United States is projected to generate the most revenue in the Reail Delivery market, amounting to US$195.40bn in 2024.
Additionally, United States is expected to have the highest user penetration rate in the Reail Delivery market, with a projected rate of 30.4%.
Uruguay's retail delivery market is witnessing a surge in demand for contactless payment options, highlighting the country's emphasis on safety and convenience.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Uruguay, a small country in South America, has seen a significant shift in the Retail Delivery market in recent years.

Customer preferences: Uruguayans have traditionally preferred to shop at brick-and-mortar stores, but there has been a noticeable shift towards online shopping in recent years. This can be attributed to the increasing availability of internet access and the convenience of shopping from home. Additionally, younger generations are more likely to shop online, which has contributed to the growth of the online Retail Delivery market in Uruguay.

Trends in the market: The Retail Delivery market in Uruguay has seen significant growth in recent years, with more and more companies offering online shopping and home delivery services. This growth can be attributed to the increasing popularity of online shopping, as well as the convenience of having items delivered directly to one's home. Additionally, the COVID-19 pandemic has accelerated the growth of the online Retail Delivery market in Uruguay, as more people are avoiding going to physical stores.

Local special circumstances: Uruguay is a small country with a relatively small population, which has made it challenging for companies to establish a profitable Retail Delivery market. Additionally, the country's infrastructure has been a limiting factor, as many areas lack the necessary infrastructure to support home delivery services. However, companies have been working to overcome these challenges by investing in new technologies and expanding their delivery networks.

Underlying macroeconomic factors: Uruguay has a relatively stable economy, with a growing middle class that has more disposable income to spend on retail purchases. Additionally, the country has a high level of internet penetration, which has made it easier for companies to reach customers through online channels. However, the country's small size and limited infrastructure have made it challenging for companies to establish a profitable Retail Delivery market. Despite these challenges, the Retail Delivery market in Uruguay is expected to continue to grow in the coming years, driven by changing customer preferences and the increasing availability of online shopping options.

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.