Energy & Sports Drinks - Mozambique

Revenue, at home (e.g., revenue generated in supermarkets and convenience stores) in the Energy & Sports Drinks market amounts to US$32.13m in 2024.
Revenue, out-of-home (e.g., revenue generated in restaurants and bars) amounts to US$2.20m in 2024.
Revenue, combined amounts to US$34.33m in 2024.
The revenue, at home is expected to grow annually by 5.37% (CAGR 2024-2029).
In global comparison, most revenue, at home is generated United States (US$40bn in 2024).
In relation to total population figures, the average revenue per capita, at home of US$0.92 are generated in 2024.
In the Energy & Sports Drinks market, volume, at home is expected to amount to 13.23m L by 2024.
Volume, out-of-home is expected to amount to 313.20k L in 2024.
Volume, combined is expected to amount to 13.54m L in 2024.
The Energy & Sports Drinks market is expected to show a volume growth, at home of 0.3% in 2025.0.
The average volume per person, at home in the Energy & Sports Drinks market is expected to amount to 0.38L in 2024.

Definition:

The Energy & Sports Drinks market includes energy drinks and sports drinks. Energy drinks are a type of beverage containing stimulant compounds, which are marketed as providing functional benefits such as mental and physical stimulation. The functionality of an energy drink is typically obtained from ingredients such as caffeine, taurine, and glucose. Coffee, tea, and other naturally caffeinated drinks, as well as caffeinated soft drinks such as cola, are not considered energy drinks. Sports drinks are functional beverages specifically designed to help athletes and other active people replace water, electrolytes, and energy before, during, and after exercise.

Additional information:

The market comprises revenue and average revenue per capita, volume and average volume per capita, price per liter, as well as sales channels. Per capita figures refer to a country’s or region’s whole population.

The at-home market covers retail sales via super- and hypermarkets, eCommerce, convenience stores, or similar sales channels. The out-of-home data encompasses all sales to hotels, restaurants, catering, cafés, bars, and similar hospitality service establishments. Combined numbers encompass both the at-home market and the out-of-home market. Both the at-home and the out-of-home market are valued at retail selling prices including all sales and consumption taxes.

Key players include Red Bull, Monster, and Rockstar.

Alcohol-free energy drinks
Sports drinks

Coffee, tea, and other naturally caffeinated drinks
Caffeinated soft drinks such as cola
Energy shots and energy gel
Powdered drink mixes (e.g., protein shakes)
Alcoholic energy drinks

Data coverage:

The data encompasses B2C enterprises. The at-home market covers retail sales via super- and hypermarkets, eCommerce, convenience stores, or similar sales channels. The out-of-home data encompasses all sales to hotels, restaurants, catering, cafés, bars, and similar hospitality service establishments. Combined numbers encompass both the at-home market and the out-of-home market. Both the at-home and the out-of-home market are valued at retail selling prices including all sales and consumption taxes.

Modeling approach:

Market sizes are determined through a Top-Down approach, building on specific predefined factors for each market segment. As a basis for evaluating markets, we use resources from the Statista platform as well as in-house market research, national statistical offices, international institutions, trade associations, companies, the trade press, and the experience of our analysts. In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, consumer spending (e.g. consumer spending on Non-Alcoholic Drinks, consumer spending at Hotels, Restaurants etc.), and price level index. 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 exponential trend smoothing is well suited for forecasting the Non-Alcoholic Drinks market with a projected steady growth. The main drivers are GDP per capita and consumer spending per capita.

Additional notes:

The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year.