Convenience Food - Brazil | Statista Market Forecast

Revenue in the Convenience Food Market is projected to reach US$154.90m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 8.77%, resulting in a projected market volume of US$235.80m by 2029.
With a projected market volume of US$27.03bn in 2024, most revenue is generated China.
In the Convenience Food Market, the number of users is expected to amount to 27.6m users by 2029.
User penetration will be 11.2% in 2024 and is expected to hit 12.7% by 2029.
The average revenue per user (ARPU) is expected to amount to US$7.51.

Definition:

The eCommerce market Convenience Food covers digital sales of a very narrowly defined range of goods, such as ready-to-eat meals and soups. However, it does not include products such as frozen vegetables, freshly prepared salads, and cut fruit.

Structure:

The eCommerce market for Convenience Food consists of two different markets:

The Ready-to-Eat Meals market includes prepared food and meals that can be eaten as is or after minimal preparation. These meals do not require cooking and are typically consumed after heating. These meals may also include disposable eating utensils. Classic frozen foods include meat, fish, vegetables, filled pasta, and frozen pizzas.
The Soups market contains any type of soup that is ready for consumption immediately after purchase or after heating. These soups require minimal preparation by the consumer and included instant soups that typically come in powdered form and broth or liquid soups that are purchased in prepared form such as tinned soups.

Additional Information:

Convenience Food comprises revenues, users, average revenue per user, and penetration rates. Revenues are derived from annual filings, national statistical offices, Google- and Alibaba-Trends and industry knowledge. Sales Channels show online and offline revenue shares, as well as, desktop and mobile sales distribution. Revenues are including VAT. The market only displays B2C revenues and users for the above-mentioned markets, hence C2C, B2B and reCommerce is not included. Additional definitions can be found on each respective market page.

Key players in the market are companies like Amazon, Tmall, JD, Taobao, Pinduoduo and Walmart.

Market numbers for the total market sizes (online + offline) can also be found on the respective pages of the Consumer Market Insights.

Ready-to-eat meals such as Lean Cuisine
Soups such as Campbells

Fresh cut salad such as Fresh Express

Data coverage:

Data refers to B2C enterprises. Figures are based on the sale of physical goods via a digital channel to a private end consumer. This definition encompasses purchases via desktop computers (including notebooks and laptops) as well as purchases via mobile devices (e.g., smartphones and tablets). The following are not included in the eCommerce market: digitally distributed services (see instead: eServices), digital media downloads or streams, digitally distributed goods in B2B markets, and the digital purchase or resale of used, defective, or repaired goods (reCommerce and C2C). All monetary figures refer to the annual gross revenue and do not factor in shipping costs.

Modeling approach / Market size:

Market sizes are determined by a combined top-down and bottom-up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., Statista Global Consumer Survey), data on shopping behavior (e.g., Google Trends, Alibaba Trends), and performance factors (e.g., user penetration, price/product). Furthermore, we use relevant key market indicators and data from country-specific associations such as GDP, consumer spending, internet penetration, and population. 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 particular market. For example, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP per capita, consumer spending per capita, internet penetration, and population.

Additional Notes:

The market is updated twice per year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level. The impact of the Russia/Ukraine war is considered at a country-specific level.

This report presents a comprehensive analysis and additional information on the Ecommerce market, in a PDF format.