Restaurant Delivery - Peru

Peru

Highlights

The Restaurant Delivery market in Peru is projected to reach a revenue of US$86.88m in 2024.
This is expected to show an annual growth rate (CAGR 2024-2029) of 6.26%, resulting in a projected market volume of US$117.70m by 2029.
By that year, the number of users in the Restaurant Delivery market in Peru is expected to amount to 3.7m users.
The user penetration rate, which is currently at 8.2% in 2024, is projected to increase to 10.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$30.69.
In global comparison, United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36.95bn in 2024.
However, it is worth noting that the user penetration rate in the Restaurant Delivery market is projected to be highest South Korea, with a rate of 44.8%.
Peru's restaurant delivery market is experiencing a surge in demand as consumers seek convenient and safe options amidst the pandemic.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Peru, a country known for its diverse cuisine and rich culinary traditions, has seen a significant growth in the restaurant delivery market in recent years.

Customer preferences: Peruvian consumers are increasingly turning to restaurant delivery services due to their busy lifestyles and the convenience of having food delivered directly to their doorstep. Additionally, the COVID-19 pandemic has accelerated this trend, as more people are staying home and avoiding crowded public spaces.

Trends in the market: One of the key trends in the restaurant delivery market in Peru is the rise of online food delivery platforms, such as Rappi and Uber Eats. These platforms offer a wide range of food options from various restaurants, making it easier for consumers to find and order their favorite meals. Another trend is the growing popularity of healthy food options, as more consumers are becoming health-conscious and looking for nutritious meal options.

Local special circumstances: Peru's unique culinary traditions and diverse cuisine have contributed to the growth of the restaurant delivery market. From traditional Peruvian dishes such as ceviche and lomo saltado to international cuisines like Chinese and Italian, there is a wide range of food options available for delivery. Additionally, the country's large urban centers, such as Lima and Arequipa, have a high concentration of restaurants and a large consumer base, making it an attractive market for restaurant delivery services.

Underlying macroeconomic factors: Peru's growing middle class and increasing urbanization have contributed to the growth of the restaurant delivery market. As more people move to cities and have busier lifestyles, the demand for convenient food delivery services has increased. Additionally, the country's strong economic growth and stable political environment have created a favorable business environment for restaurant delivery companies to operate and expand their services.

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.