Restaurant Delivery - Tanzania

  • Tanzania
  • The Restaurant Delivery market in Tanzania is projected to reach a revenue of US$5.21m by 2024.
  • It is expected to exhibit an annual growth rate (CAGR 2024-2029) of 10.52%, resulting in a projected market volume of US$8.59m by 2029.
  • The number of users in the Restaurant Delivery market is anticipated to reach 0.9m users by 2029.
  • The user penetration is projected to be 0.9% in 2024 and is expected to increase to 1.2% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$8.05.
  • In a global comparison, United States is expected to generate the highest revenue in the Restaurant Delivery market, amounting to US$36,950.00m in 2024.
  • South Korea is projected to have the highest user penetration rate of 44.8%.
  • The restaurant delivery market in Tanzania is experiencing a surge in demand due to the growing urban population and busy lifestyles.
 
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Analyst Opinion

The restaurant delivery market in Tanzania has been experiencing significant growth in recent years.

Customer preferences:
Customers in Tanzania are increasingly embracing the convenience of ordering food online and having it delivered to their doorsteps. This trend is particularly popular among urban dwellers who have busy lifestyles and limited time to prepare meals at home. Additionally, the COVID-19 pandemic has accelerated the adoption of food delivery services, as many people are now avoiding crowded places such as restaurants.

Trends in the market:
One of the key trends in the restaurant delivery market in Tanzania is the rise of online food ordering platforms. These platforms offer a wide range of food options from various restaurants, making it easy for customers to find and order their favorite meals. Another trend is the emergence of food delivery startups that are leveraging technology to streamline the delivery process and improve the customer experience.

Local special circumstances:
Tanzania's restaurant delivery market is unique in that it is dominated by informal food vendors, commonly known as "mamalishe." These vendors offer a variety of local dishes at affordable prices, making them popular among low-income earners. While the rise of online food ordering platforms has disrupted the traditional food delivery market, many of these vendors have adapted and are now partnering with these platforms to reach a wider customer base.

Underlying macroeconomic factors:
Tanzania's economy has been growing steadily over the past decade, with a focus on infrastructure development, tourism, and agriculture. This growth has led to an increase in disposable income, which has in turn fueled the demand for restaurant delivery services. Additionally, Tanzania's young and tech-savvy population is driving the adoption of online food ordering platforms, which are seen as convenient and efficient. However, challenges such as poor infrastructure and limited access to technology in some areas of the country may hinder the growth of the restaurant delivery market in Tanzania.

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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