Restaurant Delivery - Sudan

Sudan

Highlights

The Restaurant Delivery market in Sudan is projected to reach a revenue of US$6.12m by 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 6.83%, resulting in a projected market volume of US$8.52m by 2029.
By 2029, the number of users in the Restaurant Delivery market is expected to amount to 691.1k users.
The user penetration in Sudan is projected to be 1.1% in 2024 and is expected to hit 1.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$11.56.
In global comparison, United States is projected to generate the most revenue in the Restaurant Delivery market, with US$36.95bn in 2024.
South Korea, on the other hand, is expected to have the highest user penetration rate of 44.8%.
The restaurant delivery market in Sudan is experiencing a surge in demand due to the convenience and safety it offers amidst the ongoing pandemic.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The food delivery market in Sudan has been gaining traction in recent years as more consumers opt for the convenience of having their meals delivered to their doorstep.

Customer preferences: Sudanese consumers are increasingly embracing the idea of ordering food online and having it delivered to their homes or offices. This is partly due to the convenience that food delivery services offer, particularly for those with busy schedules. Additionally, the COVID-19 pandemic has accelerated the adoption of food delivery services as people look for ways to minimize their exposure to the virus.

Trends in the market: One of the key trends in the Sudanese food delivery market is the emergence of new players offering specialized services. For instance, there are now food delivery services that cater exclusively to healthy eating, vegan, and vegetarian diets. This is in response to the growing demand for healthier meal options among Sudanese consumers.Another trend is the use of technology to enhance the food delivery experience. Many food delivery services now have mobile apps that allow customers to place orders and track their deliveries in real-time. Some services also use AI-powered chatbots to provide personalized recommendations to customers based on their previous orders.

Local special circumstances: The Sudanese food delivery market is unique in that it is heavily influenced by local cuisine and culture. This means that food delivery services need to be familiar with the local food scene and offer a wide range of options that cater to local tastes and preferences. For instance, Sudanese cuisine is known for its use of spices and herbs, and food delivery services need to ensure that these flavors are well represented in their menus.

Underlying macroeconomic factors: The food delivery market in Sudan is also influenced by macroeconomic factors such as the availability of reliable internet connectivity and the level of disposable income among consumers. Sudan is still a developing country, and many consumers may not have access to high-speed internet or the financial means to order food delivery regularly. However, as the country continues to develop and more people gain access to these services, the food delivery market is expected to grow even further.

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.