Online Food Delivery - Zimbabwe

  • Zimbabwe
  • The Online Food Delivery market in Zimbabwe is projected to reach a revenue of US$194.40m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 6.64%, resulting in a projected market volume of US$268.10m by 2029.
  • In 2025, the Meal Delivery market is expected to show a revenue growth of 10.4%.
  • The projected market volume for the Meal Delivery market in Zimbabwe is US$189.90m in 2024.
  • When compared globally, China is expected to generate the highest revenue in the Online Food Delivery market with US$450.50bn in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Zimbabwe is projected to amount to US$139.60 in 2024.
  • In the Grocery Delivery market, the number of users is expected to reach 2.1m users by 2029.
  • User penetration in the Grocery Delivery market in Zimbabwe will be at 8.0% in 2024.
  • In Zimbabwe, the online food delivery market is rapidly growing as consumers embrace the convenience and safety of ordering meals from the comfort of their homes.
 
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Analyst Opinion

Zimbabwe, a country known for its diverse cultural heritage and natural beauty, has seen a rapid growth in the Online Food Delivery market in recent years.

Customer preferences:
The convenience of ordering food from the comfort of one's own home has been a major factor in the growth of the online food delivery market in Zimbabwe. Customers are increasingly relying on online platforms to order food due to the ease of use and the wide variety of options available. Additionally, the COVID-19 pandemic has further accelerated the adoption of online food delivery services as people are encouraged to stay home and avoid crowded places.

Trends in the market:
One of the major trends in the Zimbabwean online food delivery market is the rise of local food delivery startups. These startups are leveraging technology to create innovative solutions that cater to the unique needs of the Zimbabwean market. Another trend is the increasing popularity of healthy food options, which has led to a rise in the number of restaurants offering healthy food choices on their online menus.

Local special circumstances:
Zimbabwe has a unique food culture that is heavily influenced by its diverse ethnic groups. This has led to a wide variety of food options being available on online delivery platforms. Additionally, the country has a large population of young people who are tech-savvy and comfortable with using online platforms to order food.

Underlying macroeconomic factors:
Zimbabwe has experienced economic challenges in recent years, which has led to a rise in unemployment and a decline in purchasing power. As a result, people are increasingly looking for affordable food options, which has led to the growth of the online food delivery market. Additionally, the country has a high mobile phone penetration rate, which has made it easier for people to access online food 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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