Market Insights eCommerce Online Food Delivery Meal Delivery

Platform Delivery - Brazil

Brazil

The Platform Delivery market in Brazil is projected to reach a revenue of €2.31bn in 2024.
This is expected to show an annual growth rate (CAGR 2024-2029) of 7.52%, resulting in a projected market volume of €3.32bn by 2029.
By 2029, the number of users in the Platform Delivery market is expected to amount to 24.9m users.
The user penetration in Brazil is forecasted to be 8.4% in 2024 and is expected to increase to 11.2% by 2029.
The average revenue per user (ARPU) is projected to be €125.60.
In global comparison, China is expected to generate the most revenue in the Platform Delivery market, with €154,700.00m in 2024.
Additionally, China has the highest user penetration rate in the Platform Delivery market at 52.8%.
The platform delivery market in Brazil is experiencing rapid growth as more consumers embrace online shopping and demand convenient and efficient delivery services.

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Platform Delivery market in Brazil has been experiencing significant growth in recent years.

Customer preferences: Customers in Brazil are increasingly looking for convenience and efficiency when it comes to delivery services. This has led to a rise in demand for platform delivery services that offer fast and reliable delivery options. Additionally, there has been a growing interest in eco-friendly delivery options, which has led to the emergence of companies that specialize in sustainable delivery practices.

Trends in the market: One of the key trends in the Platform Delivery market in Brazil is the increasing use of technology to improve delivery services. This includes the use of artificial intelligence and machine learning to optimize delivery routes and improve delivery times. Another trend is the rise of last-mile delivery services, which focus on delivering packages directly to customers' doorsteps. Additionally, there has been a growing interest in same-day delivery services, which has led to the emergence of companies that specialize in providing fast and efficient delivery options.

Local special circumstances: One of the unique challenges facing the Platform Delivery market in Brazil is the country's large size and diverse geography. This can make it difficult for companies to provide reliable and efficient delivery services across the entire country. Additionally, Brazil's complex tax system can make it difficult for companies to navigate the regulatory environment and operate efficiently.

Underlying macroeconomic factors: Brazil's growing middle class and increasing urbanization have been key drivers of growth in the Platform Delivery market. As more people move to cities and adopt digital technologies, the demand for fast and efficient delivery services is likely to continue to grow. Additionally, the rise of e-commerce in Brazil has created new opportunities for platform delivery companies, as more consumers turn to online shopping for their everyday needs. However, Brazil's economic and political instability can create challenges for companies operating in the country, and it is important for companies to remain agile and adaptable in the face of changing market conditions.

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.