Online Food Delivery - Angola

  • Angola
  • The projected revenue for the Online Food Delivery market in Angola is set to reach US$109.30m in 2024.
  • It is expected to exhibit a compound annual growth rate (CAGR 2024-2029) of 11.73%, resulting in a projected market volume of US$190.30m by 2029.
  • The Meal Delivery market in Angola is anticipated to witness a revenue growth of 15.1% in 2025.
  • With a projected market volume of US$60.22m in 2024, in Angola will see a substantial contribution to the global market.
  • In comparison, China is expected to generate the highest revenue, reaching US$450.50bn in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Angola is projected to be US$24.20 in 2024.
  • Additionally, the Grocery Delivery market in Angola is expected to witness a significant increase in the number of users, reaching 5.8m users by 2029.
  • The user penetration in the Grocery Delivery market is estimated to be 9.6% in 2024.
  • Angola's online food delivery market is experiencing rapid growth due to increasing urbanization and the convenience it offers in a fast-paced society.
 
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Analyst Opinion

The convenience of ordering food online has become increasingly popular in Angola, leading to the growth of the Online Food Delivery market in the country.

Customer preferences:
Angolan customers are increasingly turning to online food delivery services due to the convenience it provides. With the rise of technology, customers can now easily order food from their favorite restaurants with just a few clicks on their smartphones. Additionally, the COVID-19 pandemic has accelerated the adoption of online food delivery services, as customers prefer to stay at home and avoid crowded places.

Trends in the market:
The Online Food Delivery market in Angola is still in its early stages, but it is growing rapidly. Local and international players are entering the market, offering a wide range of options to customers. The market is becoming more competitive, with companies offering discounts and promotions to attract and retain customers. Furthermore, the market is expected to continue to grow as more customers become aware of the convenience of online food delivery services.

Local special circumstances:
Angola has a youthful population, with a high percentage of people under the age of 25. This demographic is more likely to use technology and adopt new trends quickly, making them a prime target for online food delivery services. Additionally, Angola has a growing middle class, with an increasing disposable income, making them more likely to spend money on convenience services such as online food delivery.

Underlying macroeconomic factors:
The Angolan economy has been recovering from a recession, with GDP growth projected to increase in the coming years. This growth is expected to drive consumer spending, including spending on online food delivery services. Additionally, Angola has a high urbanization rate, with a significant portion of the population living in cities. This urbanization is expected to drive the growth of the Online Food Delivery market, as customers in urban areas are more likely to use these services due to the convenience it provides.

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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