Restaurant Delivery - South Africa

  • South Africa
  • The Restaurant Delivery market in South Africa is expected to witness significant growth in the coming years.
  • According to projections, the market's revenue is set to reach €0.76bn in 2024.
  • This upward trend is expected to continue, with an annual growth rate (CAGR 2024-2028) of 6.29%.
  • By 2028, the market volume is projected to reach €0.97bn.
  • In terms of user base, the Restaurant Delivery market is anticipated to have around 21.1m users users by 2028.
  • This indicates a steady increase in user penetration, which is expected to rise from 27.1% in 2024 to 32.6% by 2028.
  • The average revenue per user (ARPU) is expected to be around €45.10, indicating the revenue generated per individual user in South Africa's Restaurant Delivery market.
  • When comparing the global market, it is worth noting that in the United States is projected to generate the highest revenue, amounting to €33,780.00m in 2024.
  • This demonstrates the significant market potential in the United States.
  • Furthermore, in South Korea is expected to have the highest user penetration rate in the Restaurant Delivery market, with a projected rate of 53.5%.
  • This showcases the popularity and widespread adoption of restaurant delivery services in South Korea.
  • The restaurant delivery market in South Africa is experiencing a surge in demand as more consumers opt for convenient and contactless dining options.

Key regions: Asia, Europe, South Korea, Germany, China

 
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Analyst Opinion

The Restaurant Delivery model gained track fast, as it provided an easy solution for restaurants to switch from phone to online orders. Players like Just Eat, Delivery Hero or Takeaway.com strongly pushed the global markets in the recent decade, and global fast food chains like Domino's have adopted their digital strategies, too. The fierce competition resulted in thinner margins as companies poach customers from each other, so currently the market is in its consolidation phase with major M&A deals happening in all regions. Since adoption rates for this market are already high, it is likely towill likely grow slower in the next years and probably convergedelivery models.

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.

Vue d’ensemble

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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