Restaurant Delivery - Namibia

  • Namibia
  • The projected revenue in the Restaurant Delivery market in Namibia is expected to reach US$1.09m in 2024.
  • This is projected to show an annual growth rate (CAGR 2024-2029) of 4.68%, resulting in a projected market volume of US$1.37m by 2029.
  • Furthermore, the number of users in the Restaurant Delivery market in Namibia is expected to amount to 57.5k users by 2029.
  • The user penetration, which refers to the percentage of the population using the service, is projected to be 1.8% in 2024 and is expected to reach 2.0% by 2029.
  • Moreover, the average revenue per user (ARPU) in the Restaurant Delivery market in Namibia is expected to be US$23.03.
  • In global comparison, United States is projected to generate the highest revenue in the Restaurant Delivery market, reaching US$36,950.00m in 2024.
  • It is worth noting that South Korea is anticipated to have the highest user penetration rate in the Restaurant Delivery market, with a projected rate of 44.8%.
  • The restaurant delivery market in Namibia is experiencing a surge in demand due to the growing number of busy professionals seeking convenient and time-saving dining options.
 
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Analyst Opinion

The popularity of restaurant delivery services has been on the rise in Namibia, with an increasing number of consumers opting for the convenience of having their meals delivered to their doorstep.

Customer preferences:
Namibian consumers are increasingly looking for convenience and time-saving options, which has led to the growth of the restaurant delivery market. With the rise of e-commerce platforms and mobile apps, customers can now easily order food from their favorite restaurants with just a few clicks. Additionally, the COVID-19 pandemic has accelerated the adoption of restaurant delivery services as more people stay home and avoid crowded places.

Trends in the market:
One of the major trends in the Namibian restaurant delivery market is the emergence of third-party delivery platforms. These platforms act as intermediaries between restaurants and customers, offering a wider range of food options and providing delivery services on behalf of the restaurants. Another trend is the increasing popularity of fast-food chains, which are able to offer affordable and quick delivery options to customers.

Local special circumstances:
Namibia's restaurant delivery market is unique in that it is heavily influenced by the country's diverse cultural landscape. The country has a rich culinary heritage, with a variety of traditional dishes that are popular among locals. As a result, many restaurants offer a mix of traditional and international cuisine to cater to the diverse tastes of their customers.

Underlying macroeconomic factors:
Namibia's economy has been relatively stable in recent years, with a growing middle class and increasing urbanization. This has led to a rise in disposable income and an increasing demand for convenience and time-saving options. Additionally, the government has been investing in infrastructure development, which has led to improved logistics and transportation networks, making it easier for restaurants to offer delivery services.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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