Restaurant Delivery - Niger

Niger

Highlights

Revenue in the Restaurant Delivery market in Niger is projected to reach US$2.19m in 2024.
The market is expected to show an annual growth rate (CAGR 2024-2029) of 14.42%, resulting in a projected market volume of US$4.30m by 2029.
By 2029, the number of users in the Restaurant Delivery market is expected to amount to 189.5k users.
The user penetration is projected to be 0.5% in 2024 and is expected to increase to 0.6% by 2029.
The average revenue per user (ARPU) is expected to amount to US$17.03.
In global comparison, United States is expected to generate the most revenue in the Restaurant Delivery market, with an estimated revenue of US$36.95bn in 2024.
South Korea has the highest projected user penetration rate in the Restaurant Delivery market, with a rate of 44.8%.
Despite limited infrastructure and challenges in logistics, the restaurant delivery market in Niger is experiencing steady growth due to increasing urbanization and changing consumer preferences.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The popularity of Restaurant Delivery services in Niger has been on the rise in recent years.

Customer preferences: The convenience of having food delivered to their doorstep is the primary reason why customers in Niger are increasingly opting for Restaurant Delivery services. With the busy lifestyles of modern-day Nigerians, many people are finding it difficult to make time to cook their meals. As a result, they are turning to food delivery services to save time and effort. Additionally, the variety of cuisines available for delivery is a major factor driving the growth of the market.

Trends in the market: One of the trends in the Restaurant Delivery market in Niger is the growing number of food delivery apps. These apps offer a seamless and efficient way for customers to order food from their favorite restaurants. They also provide customers with a wide range of options to choose from, including different cuisines and price points. Another trend is the emergence of cloud kitchens, which are delivery-only restaurants that operate from a central kitchen and do not have a physical dining space.

Local special circumstances: The Restaurant Delivery market in Niger is unique due to the country's diverse cultural and culinary landscape. Niger is home to a wide range of ethnic groups, each with its own distinct cuisine. As a result, the food delivery market in Niger is highly fragmented, with many small players catering to specific regional cuisines. This presents a challenge for larger players who are looking to expand their operations in the country.

Underlying macroeconomic factors: The growth of the Restaurant Delivery market in Niger is being driven by several macroeconomic factors. One of the key factors is the country's growing middle class, which has more disposable income and is willing to spend on convenience. Additionally, the rise of e-commerce and digital payments has made it easier for customers to order food online and pay for it electronically. Finally, the COVID-19 pandemic has accelerated the adoption of food delivery services as more people are staying at home and avoiding crowded public places.

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.