Market Insights Digital Online Food Delivery Meal Delivery

Restaurant Delivery - Senegal

Senegal

The Restaurant Delivery market in Senegal is predicted to experience substantial growth in the coming years.
By 2024, the revenue is projected to reach €4.78m units.
This growth is expected to continue at an annual rate of 8.48% from 2024 to 2028, resulting in a projected market volume of €6.62m units by 2028.
Furthermore, the number of users in the Restaurant Delivery market is anticipated to reach 253.5k users by 2028.
In terms of user penetration, which refers to the percentage of the population that uses Restaurant Delivery market services, it is estimated to be 1.1% in 2024 and is projected to increase to 1.1% by 2028.
This indicates a gradual but steady adoption of Restaurant Delivery market services among the population of Senegal.
The average revenue per user (ARPU) is expected to amount to €22.95 units.
This figure represents the average amount of revenue generated per user in the Restaurant Delivery market.
It demonstrates the potential profitability of the market in Senegal.
When comparing the global market, in the United States is projected to generate the highest revenue in the Restaurant Delivery market, with an estimated revenue of €33,910.00m units in 2024.
This highlights the dominance of the United States in the global market.
In terms of user penetration, in South Korea is expected to have the highest rate of 53.5% in the Restaurant Delivery market.
This indicates a significant level of adoption and usage of Restaurant Delivery market services among the population of South Korea.
Overall, the Restaurant Delivery market in Senegal is poised for growth, with increasing revenue, user penetration, and average revenue per user.
This presents opportunities for both businesses and consumers in the country.
In Senegal, the restaurant delivery market is booming due to the increasing popularity of traditional Senegalese cuisine.

Key regions: Asia, Europe, South Korea, Germany, China

Mercado

Región

Comparación de regiones

Moneda

Analyst Opinion

The Restaurant Delivery model gained track fast, as it provided an easy solution for restaurants to switch from phone to online orders. Players like Just Eat, Delivery Hero or Takeaway.com strongly pushed the global markets in the recent decade, and global fast food chains like Domino's have adopted their digital strategies, too. The fierce competition resulted in thinner margins as companies poach customers from each other, so currently the market is in its consolidation phase with major M&A deals happening in all regions. Since adoption rates for this market are already high, it is likely towill likely grow slower in the next years and probably convergedelivery models.

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.