Restaurant Delivery - Chile

Chile

Highlights

The Restaurant Delivery market in Chile is projected to reach a revenue of US$295.00m in 2024.
It is expected to experience an annual growth rate (CAGR 2024-2029) of 2.42%, resulting in a projected market volume of US$332.50m by 2029.
By 2029, the number of users in the Restaurant Delivery market is expected to reach 6.2m users.
The user penetration rate is expected to be 28.7% in 2024 and is projected to increase to 31.2% by 2029.
The average revenue per user (ARPU) is expected to be US$52.20.
In comparison to other countries, United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36.95bn in 2024.
South Korea, on the other hand, is projected to have the highest user penetration rate in the Restaurant Delivery market, with a rate of 44.8%.
Chile's restaurant delivery market is experiencing a surge in demand due to changing consumer preferences and the convenience of online ordering platforms.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The convenience of ordering food online has become increasingly popular in Chile, leading to the growth of the restaurant delivery market.

Customer preferences: Chilean customers are increasingly seeking convenience in their daily lives, and this trend has extended to their food choices. With the busy lifestyles of urban Chileans, restaurant delivery services have become a popular option for those who want to enjoy restaurant-quality food from the comfort of their own homes. Additionally, the COVID-19 pandemic has further accelerated the demand for delivery services, as customers are more hesitant to dine in at restaurants.

Trends in the market: The restaurant delivery market in Chile has seen a significant increase in competition in recent years, with both local and international players entering the market. This has led to an increase in innovation and differentiation among delivery services, such as the use of technology to improve the ordering process and the introduction of new delivery options. Additionally, there has been a rise in the popularity of healthy food delivery options, as customers become more health-conscious.

Local special circumstances: Chile has a strong food culture, with a diverse range of cuisines and a focus on fresh ingredients. This has led to the development of a vibrant restaurant scene, with many restaurants offering unique and high-quality dishes. The restaurant delivery market in Chile has therefore adapted to cater to this demand, with many delivery services offering a wide range of cuisines and partnering with popular local restaurants.

Underlying macroeconomic factors: Chile has a strong and stable economy, with a growing middle class and increasing disposable income. This has led to an increase in consumer spending on food, including on restaurant delivery services. Additionally, the growth of e-commerce in Chile has created a favorable environment for the restaurant delivery market, with customers becoming more comfortable with online ordering and payment.

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.