Meal Delivery - Namibia

  • Namibia
  • The Meal Delivery market in Namibia is expected to generate a revenue of US$2.30m in 2024.
  • This projection indicates a steady growth rate of 8.45% annually from 2024 to 2029, resulting in a market volume of US$3.45m by 2029.
  • In terms of the Restaurant Deliverymarket, in Namibia is projected to reach a market volume of US$1.21m in 2024.
  • However, it is important to note that in a global comparison, China is anticipated to generate the highest revenue of US$184,500.00m in the same year.
  • The average revenue per user (ARPU) in the Meal Delivery market in Namibia is expected to be around US$23.65 in 2024.
  • Moreover, the number of users in the Meal Delivery market is projected to reach approximately 143.1k users by 2029.
  • Considering the market size, the user penetration in the Meal Delivery market is estimated to be at 3.7% in 2024.
  • "The meal delivery market in Namibia is experiencing a surge in demand due to the convenience and time-saving benefits it offers to busy urban professionals."
 
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Analyst Opinion

The popularity of meal delivery services has been on the rise in many countries, and Namibia is no exception.

Customer preferences:
Namibians have shown a growing interest in meal delivery services as they seek convenience and time-saving options. Busy work schedules and the desire to have healthy meals delivered to their doorstep have been the driving force behind the increasing demand for meal delivery services. Additionally, the COVID-19 pandemic has heightened the need for contactless delivery options, further boosting the demand for meal delivery services.

Trends in the market:
The meal delivery market in Namibia has seen a surge in the number of players offering services. This has led to increased competition, which has resulted in more affordable prices for consumers. The market is also experiencing a shift towards healthier meal options, with many providers offering vegetarian, vegan, and gluten-free options. Furthermore, there has been a growing trend towards locally sourced ingredients, which has resulted in partnerships between meal delivery providers and local farmers.

Local special circumstances:
Namibia has a diverse culinary culture, with influences from various ethnic groups. This has resulted in a wide array of dishes, which meal delivery providers have incorporated into their menus. Additionally, Namibia is a sparsely populated country, with a large portion of the population residing in rural areas. This has resulted in meal delivery providers having to tailor their services to cater to these areas.

Underlying macroeconomic factors:
Namibia's economy has been under pressure in recent years, with high unemployment rates and low GDP growth. However, the meal delivery market has shown resilience in the face of these challenges, with providers offering affordable meal options that cater to different income groups. Additionally, the government has implemented policies aimed at promoting entrepreneurship and small business growth, which has resulted in more individuals starting meal delivery businesses.

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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