Market Insights Digital Online Food Delivery Meal Delivery

Restaurant Delivery - G7

The Restaurant Delivery market in G7 is expected to witness significant growth in the coming years.
By 2024, the projected revenue is estimated to reach US$64.48bn.
This upward trend is anticipated to continue with a compound annual growth rate (CAGR) of 4.42% from 2024 to 2028.
As a result, the market volume is projected to reach US$76.67bn by 2028.
In terms of user base, the number of users in the Restaurant Delivery market is expected to reach 283.0m users by 2028.
This indicates a steady increase in user penetration, which is projected to be 15.9% in 2024 and is expected to reach 18.0% by 2028.
The average revenue per user (ARPU) is expected to be US$260.20, reflecting the potential for profitability in this market.
When compared globally, in the United States is expected to generate the highest revenue in the Restaurant Delivery market, with an estimated revenue of US$36,950.00m in 2024.
This highlights the dominance of the United States in this market.
Furthermore, when analyzing user penetration, in South Korea stands out with a projected rate of 53.5%, indicating the highest user penetration in the Restaurant Delivery market.
Overall, the Restaurant Delivery market in G7 is set to experience significant growth, fueled by increasing revenue, expanding user base, and higher user penetration rates.
In the United States, the restaurant delivery market is booming, with a wide range of options and convenient services available to consumers.

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

Market

Region

Region comparison

Currency

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.