Meal Delivery - Zimbabwe

  • Zimbabwe
  • The Meal Delivery market in Zimbabwe is projected to reach a revenue of US$4.49m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 9.16%, resulting in a projected market volume of US$6.96m by 2029.
  • In Zimbabwe, the Platform Deliverymarket is projected to have a market volume of US$2.99m in 2024.
  • In global comparison, China is expected to generate the most revenue in the Meal Delivery market, with US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Zimbabwe is projected to amount to US$21.11 in 2024.
  • By 2029, the number of users in Zimbabwe's Meal Delivery market is expected to reach 302.5k users.
  • The user penetration rate in the Meal Delivery market in Zimbabwe will be at 1.2% in 2024.
  • Meal delivery services in Zimbabwe have experienced a surge in demand as consumers seek convenient and safe options amidst the COVID-19 pandemic.
 
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Analyst Opinion

Meal delivery services have become increasingly popular in Zimbabwe in recent years. With the rise of digital platforms and the convenience they offer, more and more consumers are turning to food delivery services to meet their daily needs.

Customer preferences:
Zimbabwean consumers are increasingly looking for convenience and speed when it comes to their food options. Meal delivery services offer an easy and efficient way for consumers to get the food they want, without the hassle of cooking or going out to eat. Additionally, many consumers are looking for healthy and nutritious options, and meal delivery services are often able to offer a wider range of healthy choices than traditional restaurants.

Trends in the market:
One of the biggest trends in the Zimbabwean meal delivery market is the rise of digital platforms. Many meal delivery services now offer online ordering and payment options, making it easier than ever for consumers to get the food they want. Additionally, many services are now offering delivery options outside of traditional meal times, such as breakfast and late-night snacks.Another trend in the market is the increasing popularity of local and regional cuisine. Many meal delivery services are now offering traditional Zimbabwean dishes, which are becoming more popular among consumers. This trend is also reflected in the growing number of food festivals and events that are focused on local cuisine.

Local special circumstances:
One of the unique challenges facing the Zimbabwean meal delivery market is the country's unreliable infrastructure. Power outages and poor road conditions can make it difficult for delivery drivers to get food to customers in a timely manner. Additionally, the country's high unemployment rate means that many people are unable to afford meal delivery services, which can be relatively expensive compared to cooking at home.

Underlying macroeconomic factors:
Zimbabwe's economy has been struggling in recent years, with high inflation and a shortage of foreign currency making it difficult for businesses to operate. Despite these challenges, the meal delivery market has continued to grow, as consumers seek out convenient and affordable food options. Additionally, the country's young and tech-savvy population has been a driving force behind the rise of digital platforms in the meal delivery market.

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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