Meal Delivery - Mozambique | Statista Market Forecast

The Meal Delivery market in Mozambique is expected to generate a revenue of US$3.26m in 2024.
This market is projected to exhibit an annual growth rate (CAGR 2024-2029) of 11.83%, resulting in a market volume of US$5.70m by 2029.
Furthermore, the Restaurant Deliverymarket in Mozambique is estimated to have a market volume of US$1.88m in 2024.
In terms of global comparison, the highest revenue in the Meal Delivery market is anticipated to be generated China, amounting to US$184.50bn by 2024.
The average revenue per user (ARPU) in the Meal Delivery market in Mozambique is projected to be US$10.08 in 2024.
Additionally, the number of users in this market is expected to reach 509.1k users by 2029.
The user penetration in the Meal Delivery market in Mozambique is forecasted to be at 0.9% in 2024.
Mozambique's meal delivery market is experiencing a surge in demand due to the growing urban population and busy lifestyles of its residents.

Definition:

Meal Delivery is the online ordering and delivery of prepared meals by a restaurant or a platform for direct consumption. Orders are typically placed in an app or on a website. The delivery is handled by the platform enterprise (e.g. Deliveroo) or directly by the restaurant (e.g. Domino’s).

Structure:

Meal Delivery contains the user and revenue development of two different delivery service solutions for prepared meals: (1) Restaurant Delivery and (2) Platform Delivery. The Restaurant Delivery market includes the delivery of meals carried out directly by the restaurants. The order may be made via platforms (e.g. Delivery Hero, Just Eat) or directly through a restaurant website (e.g. Domino's). The Platform Delivery market focuses on online delivery services that provide customers with meals from partner restaurants that do not necessarily have to offer food delivery themselves. In this case, the platform (e.g. Deliveroo) handles the delivery process.).

Additional Information:

Revenue includes the gross merchandise value (GMV), defined as the total sales dollar value for merchandise/food sold through the Online Food Delivery marketplace. User and revenue figures represent B2C services.

Meals ordered online which are directly delivered by the restaurant, no matter if ordered via a platform (e.g. Delivery Hero) or a restaurant website (e.g. Domino's)
Online meal order and delivery both carried out by a platform (e.g. Deliveroo)
Online orders that are picked up in the restaurant

Phone orders
Deliveries of non-processed or non-prepared food (e.g. HelloFresh)

Meal delivery services have become a popular trend in Mozambique, providing convenience and accessibility to consumers. The market has been growing steadily in recent years, with an increasing number of players entering the industry.

Customer preferences: Customers in Mozambique are increasingly turning to meal delivery services due to the convenience of having food delivered to their doorstep. With the rise of urbanization and busy lifestyles, consumers are looking for quick and easy meal options. Additionally, the COVID-19 pandemic has accelerated the adoption of meal delivery services as people have been staying at home more.

Trends in the market: One of the major trends in the meal delivery market in Mozambique is the growth of online ordering platforms. These platforms provide a convenient way for customers to browse menus, place orders, and make payments. Another trend is the emergence of healthy meal delivery services, catering to health-conscious consumers who are looking for nutritious meal options. Finally, there has been a rise in partnerships between meal delivery services and restaurants, allowing restaurants to expand their reach beyond their physical locations.

Local special circumstances: Mozambique's food culture is diverse, with influences from Portuguese, African, and Indian cuisines. This diversity is reflected in the meal delivery market, with a variety of cuisines available for delivery. Additionally, the high cost of living in urban areas has led to an increase in demand for affordable meal options, which has been met by the meal delivery industry.

Underlying macroeconomic factors: Mozambique's economy has been growing steadily in recent years, with a focus on developing the country's infrastructure and tourism industry. This growth has led to an increase in urbanization and a rise in disposable incomes, which has contributed to the growth of the meal delivery market. Additionally, the COVID-19 pandemic has highlighted the importance of digitalization and e-commerce, which has further accelerated the growth of the meal delivery market in Mozambique.

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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