Online Food Delivery - Peru

Peru

The projected revenue in the Online Food Delivery market in Peru is expected to reach US$1,608.00m in 2024.
It is also anticipated to demonstrate a Compound Annual Growth Rate (CAGR 2024-2029) of 13.12%, resulting in a projected market volume of US$2,979.00m by 2029.
Furthermore, the Grocery Delivery market in Peru is expected to exhibit a revenue growth of 23.2% in 2025, with a projected market volume of US$1,485.00m in 2024.
In comparison to other countries, China is projected to generate the highest revenue in the Online Food Delivery market, amounting to US$448.90bn in 2024.
Moreover, the average revenue per user (ARPU) in the Grocery Delivery market in Peru is projected to amount to US$237.70 in 2024.
Additionally, in the Grocery Delivery market, the number of users is expected to reach 8.5m users by 2029, while the user penetration in the Grocery Delivery market is estimated to be 18.0% in 2024.
The online food delivery market in Peru is experiencing rapid growth due to the increasing demand for convenient and time-saving meal options.

Market

Region

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Currency

Analyst Opinion

Peru, a country known for its diverse cuisine, has seen a surge in the Online Food Delivery market in recent years.

Customer preferences: Peruvian customers are increasingly turning to online food delivery platforms due to their convenience and ease of use. With busy work schedules and long commutes, customers prefer the option of ordering food online and having it delivered directly to their doorstep. Additionally, the COVID-19 pandemic has accelerated the adoption of online food delivery as customers prioritize safety and social distancing measures.

Trends in the market: One trend in the Online Food Delivery market in Peru is the rise of local and regional food delivery platforms. These platforms focus on providing customers with access to traditional Peruvian cuisine from small, local restaurants. This trend is in line with the overall shift towards supporting local businesses and promoting cultural heritage.Another trend is the increasing popularity of healthy food options on online food delivery platforms. Customers are becoming more health-conscious and are looking for options that cater to their dietary needs and preferences. This trend is also in line with the global shift towards healthier eating habits.

Local special circumstances: Peru's unique cuisine and diverse food culture have contributed to the growth of the Online Food Delivery market. Customers are able to explore a variety of traditional Peruvian dishes and flavors through online food delivery platforms, which has contributed to the growth of the market.

Underlying macroeconomic factors: Peru's growing economy and increasing urbanization have contributed to the growth of the Online Food Delivery market. As more people move to urban areas and have busier work schedules, the demand for convenient food delivery options has increased. Additionally, the COVID-19 pandemic has accelerated the adoption of online food delivery as customers prioritize safety and social distancing measures.

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.