Restaurant Delivery - South America

  • South America
  • The Restaurant Delivery market in South America is projected to reach a revenue of US$8.40bn by 2024.
  • This is expected to show an annual growth rate of 2.53% (CAGR 2024-2029), resulting in a projected market volume of US$9.52bn by 2029.
  • The number of users in the Restaurant Delivery market is expected to reach 115.2m users by 2029.
  • User penetration, which measures the percentage of the population using the service, is projected to be 25.1% in 2024 and is expected to increase to 27.1% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$80.94.
  • In comparison to other countries, United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36,950.00m in 2024.
  • On the other hand, South Korea is projected to have the highest user penetration rate of 44.8% in the Restaurant Delivery market.
  • In South America, the restaurant delivery market is experiencing a surge in demand due to the convenience and safety it offers in the midst of the COVID-19 pandemic.
 
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Analyst Opinion

The demand for restaurant delivery services in South America has been steadily increasing in recent years.

Customer preferences:
One of the main reasons for this trend is the changing customer preferences. With the rise of technology, customers are becoming more accustomed to convenience and instant gratification. They want to be able to order food from their favorite restaurants with just a few clicks on their smartphones. Additionally, the COVID-19 pandemic has accelerated the adoption of restaurant delivery services as people are avoiding crowded places and opting for contactless delivery options.

Trends in the market:
Brazil is the largest market for restaurant delivery services in South America. The country has a large population and a thriving food culture, which has led to the growth of several food delivery startups. These startups are leveraging technology to offer better services to customers, such as faster delivery times and a wider range of restaurant options. Another trend in the market is the rise of cloud kitchens, which are commercial kitchens that only serve delivery orders. These kitchens are becoming popular in urban areas where the cost of real estate is high.

Local special circumstances:
In Argentina, the restaurant delivery market is dominated by traditional pizza delivery services. Pizza is a popular food in the country, and many restaurants specialize in pizza delivery. In Colombia, the market is more diverse, with a mix of local and international food delivery options. The country has a large population of young people who are tech-savvy and prefer to order food online.

Underlying macroeconomic factors:
The growth of the restaurant delivery market in South America is also driven by underlying macroeconomic factors. The region has a large population of young people who are entering the workforce and have disposable income. Additionally, the rise of the middle class in many countries has led to an increase in demand for restaurant delivery services. The region also has a growing urban population, which has led to an increase in the number of restaurants and food delivery startups.

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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