Online Food Delivery - Morocco

Morocco

In 2024, the Online Food Delivery market in Morocco is projected to reach a revenue of €422.80m.
It is expected to show an annual growth rate (CAGR 2024-2029) of 7.67%, resulting in a projected market volume of €611.70m by 2029.
The Grocery Delivery market in Morocco is also anticipated to experience revenue growth of 17.5% in 2025.
The projected market volume for the Grocery Delivery market in Morocco in 2024 is €321.30m.
In comparison to other countries, China is expected to generate the highest revenue in the Online Food Delivery market, amounting to €417.80bn in 2024.
The average revenue per user (ARPU) in the Grocery Delivery market in Morocco is projected to be €49.07 in 2024.
As for the Meal Delivery market in Morocco, the number of users is expected to reach 8.4m users by 2029.
The user penetration in the Meal Delivery market is projected to be at 17.1% in 2024.
These figures demonstrate the significant growth and potential of the Online Food Delivery market in Morocco.
"Morocco's online food delivery market is booming, with a growing number of local platforms catering to the country's diverse culinary preferences."

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Moroccan food culture is known for its unique blend of spices and flavors. In recent years, the country has witnessed a surge in the Online Food Delivery market, making it easier for customers to order their favorite meals from the comfort of their homes.

Customer preferences: Moroccan customers are increasingly turning to online food delivery platforms due to their convenience and ease of use. With the rise of smartphones and internet penetration, customers can now easily access online food delivery services and place orders from a wide range of restaurants. In addition, customers are attracted to the competitive pricing and promotional offers that are available on these platforms.

Trends in the market: One of the major trends in the Moroccan Online Food Delivery market is the emergence of new players in the market. Local startups are competing with international players, such as Uber Eats and Deliveroo, by offering unique services and partnering with local restaurants. Another trend is the integration of technology in the food delivery process. Companies are using data analytics and machine learning to optimize delivery routes and improve the customer experience.

Local special circumstances: Morocco has a unique food culture that is influenced by its history and geography. The country is known for its diverse cuisine, which includes dishes such as tagine, couscous, and pastilla. Moroccan customers are increasingly looking for online food delivery platforms that offer a wide range of local and international cuisine. In addition, the country has a large expat population, which is driving demand for international cuisine.

Underlying macroeconomic factors: Morocco has a growing middle class, which is driving demand for online food delivery services. The country has also witnessed a rise in urbanization, with more people moving to cities in search of better job opportunities. This has led to an increase in the number of people who are time-poor and looking for convenient food delivery options. Finally, the COVID-19 pandemic has accelerated the growth of the online food delivery market in Morocco, as customers are increasingly looking for contactless delivery options.

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.