Brazil, known for its vibrant culture and delicious cuisine, has seen significant growth in the restaurant delivery market in recent years.
Customer preferences: With the increasing popularity of online food ordering and delivery platforms, customers in Brazil have shown a growing preference for the convenience of having their favorite meals delivered to their doorstep. This trend has been further fueled by the COVID-19 pandemic, as more people opt for contactless delivery options.
Trends in the market: One of the key trends in the Brazilian restaurant delivery market is the rise of local and regional players. While global giants like Uber Eats and iFood continue to dominate the market, smaller players are gaining traction by focusing on specific regions or cuisines. Another trend is the emergence of dark kitchens, which are delivery-only restaurants that operate out of industrial spaces and cater exclusively to online orders.
Local special circumstances: Brazil's vast size and cultural diversity have led to a wide range of local specialties and cuisines, which are now easily accessible through restaurant delivery platforms. Additionally, the country's large urban population and high traffic congestion make delivery services an attractive option for busy city dwellers.
Underlying macroeconomic factors: Brazil's restaurant delivery market has been buoyed by a number of macroeconomic factors, including rising disposable incomes, a growing middle class, and increasing internet penetration. In addition, the country's relatively low labor costs and abundant supply of fresh ingredients have made it an attractive destination for food entrepreneurs. However, high levels of economic inequality and political instability remain major challenges for the industry.
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.
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