Market Insights eCommerce Online Food Delivery

Meal Delivery - Angola

Angola

The Meal Delivery market in Angola is expected to reach a revenue of US$59.20m in 2024.
It is projected to grow at an annual rate of 12.67% (CAGR 2024-2029), resulting in a market volume of US$107.50m by 2029.
In the same year, the Restaurant Deliverymarket is estimated to have a market volume of US$29.80m.
When comparing globally, China is anticipated to generate the highest revenue, amounting to US$182,900.00m in 2024.
The average revenue per user (ARPU) in the Meal Delivery market is projected to be US$22.89 in 2024.
The number of users is expected to reach 4.4m users by 2029.
Additionally, the user penetration rate in the Meal Delivery market is predicted to be 6.8% in 2024.
Despite the growing popularity of meal delivery services in many countries, Angola still relies heavily on traditional home-cooked meals.

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Analyst Opinion

The demand for meal delivery services in Angola has been on the rise in recent years.

Customer preferences: Angolans have shown a growing preference for convenience and speed when it comes to food delivery. This trend is in line with global patterns as more people opt for on-demand services that offer quick and easy access to meals. Additionally, there is an increasing demand for healthier food options, and meal delivery services are responding to this by offering more nutritious meals.

Trends in the market: One of the major trends in the meal delivery market in Angola is the rise of tech-enabled food delivery platforms. These platforms are leveraging technology to improve the delivery experience for customers, from faster delivery times to real-time tracking of orders. Additionally, there has been an increase in the number of restaurants partnering with delivery platforms to expand their reach and increase sales.

Local special circumstances: The Angolan economy has been growing steadily in recent years, and this has led to an increase in disposable income among the population. As a result, more people are able to afford meal delivery services, which were previously considered a luxury. Additionally, the country's urbanization trend has led to a rise in demand for food delivery services in cities.

Underlying macroeconomic factors: The Angolan government has been implementing policies aimed at diversifying the economy and reducing its dependence on oil. This has led to increased investment in sectors such as agriculture, which has the potential to create more jobs and boost incomes. As the economy continues to grow, more people are likely to have disposable income to spend on meal delivery services. Additionally, there has been a rise in foreign investment in the country, which has led to the entry of international food delivery platforms.

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.