Grocery Delivery - Uruguay

  • Uruguay
  • The Grocery Delivery market in Uruguay is expected to achieve a revenue of US$520.90m in 2024.
  • This projection indicates that the market is set to experience a steady annual growth rate of 20.91% from 2024 to 2029, resulting in a market volume of US$1,346.00m by 2029.
  • Simultaneously, the Retail Delivery market in Uruguay is projected to reach a market volume of US$496.50m in 2024.
  • It is worth noting that in a global context, China is anticipated to generate the highest revenue, amounting to US$266,000.00m in 2024.
  • Additionally, the average revenue per user (ARPU) in the Grocery Delivery market is projected to be US$576.90 in 2024.
  • Looking ahead, the number of users in this market is expected to increase to 1.2m users by 2029.
  • Furthermore, user penetration in the Grocery Delivery market is estimated to be 26.4% in 2024.
  • This indicates the proportion of the population that actively engages in Grocery Delivery market services in Uruguay.
  • Uruguay's grocery delivery market is booming, fueled by a growing demand for convenient and efficient shopping solutions.
 
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Analyst Opinion

Uruguay, a small country in South America, has been experiencing a growing trend in the Grocery Delivery market in recent years.

Customer preferences:
Uruguayans, like many other consumers worldwide, have been increasingly turning to online shopping for their grocery needs. The convenience of having groceries delivered to their doorstep has become a popular choice for many busy consumers. Additionally, the COVID-19 pandemic has further accelerated this trend as more people are opting to stay at home and avoid crowded places.

Trends in the market:
The Grocery Delivery market in Uruguay has seen an increase in competition, with both local and international players entering the market. This has led to a wider variety of options for consumers, including same-day delivery and subscription-based services. Moreover, the market has seen an increase in the availability of organic and locally sourced products, catering to the growing demand for healthier and more sustainable options.

Local special circumstances:
Uruguay has a relatively small population and a concentrated urban area, making it easier for grocery delivery services to operate efficiently. Additionally, the country has a high level of internet penetration and a tech-savvy population, making it easier for consumers to adopt online shopping. However, the country also has a strong culture of traditional shopping, with many consumers still preferring to visit physical stores to purchase their groceries.

Underlying macroeconomic factors:
Uruguay has a stable economy and a growing middle class, which has contributed to the growth of the Grocery Delivery market. Additionally, the country has a high level of smartphone usage, which has made it easier for consumers to access online shopping platforms. However, the country also faces challenges such as high inflation rates and a relatively low GDP per capita, which may affect consumer spending habits in the long run.

Methodology

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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