Restaurant Delivery - Zimbabwe

Zimbabwe

Highlights

The Restaurant Delivery market in Zimbabwe is projected to reach a revenue of US$2.99m by 2024.
It is expected to show an annual growth rate of 7.31% from 2024 to 2029, resulting in a projected market volume of US$4.26m by 2029.
In Zimbabwe's Restaurant Delivery market, the number of users is expected to reach 182.9k users by 2029.
The user penetration is estimated to be 0.9% in 2024 and is projected to increase to 1.0% by 2029.
The average revenue per user (ARPU) is expected to be US$20.59.
In global comparison, United States is anticipated to generate the highest revenue in the Restaurant Delivery market, with an estimated revenue of US$36.95bn in 2024.
On the other hand, South Korea is projected to have the highest user penetration rate of 44.8% in the Restaurant Delivery market.
Restaurant delivery services in Zimbabwe have experienced significant growth due to the increased demand for convenient and contactless dining options amidst the COVID-19 pandemic.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

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

Customer preferences: Zimbabweans have shown a growing preference for convenience, with many opting to order food online and have it delivered to their doorstep. This has been driven by the rise of technology and the increasing use of smartphones, which has made it easier for people to access these services. Additionally, the COVID-19 pandemic has further accelerated this trend, as more people are choosing to stay at home and avoid crowded places.

Trends in the market: The Restaurant Delivery market in Zimbabwe has seen significant growth in recent years, with more players entering the market and offering a wider variety of food options. This has led to increased competition, with companies offering discounts and promotions to attract customers. Additionally, there has been a shift towards healthier food options, with more restaurants offering vegetarian and vegan options to cater to changing consumer preferences.

Local special circumstances: Zimbabwe has a unique food culture, with traditional dishes such as Sadza and Nyama Choma being popular among locals. However, there has been a growing trend towards international cuisine, with more restaurants offering Chinese, Indian, and Italian food options. Additionally, the cost of living in Zimbabwe is relatively high, which has led to many people opting for Restaurant Delivery services as a more affordable option compared to eating out.

Underlying macroeconomic factors: Zimbabwe has been facing significant economic challenges in recent years, with high levels of inflation and a shortage of foreign currency. This has made it difficult for businesses to operate and has led to many restaurants closing down. However, the Restaurant Delivery market has been able to thrive despite these challenges, as it offers a more cost-effective and convenient option for consumers. Additionally, the rise of technology has made it easier for businesses to operate and reach a wider audience, which has contributed to the growth of the market.

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.