Market Insights Digital Online Food Delivery Meal Delivery

Restaurant Delivery - Netherlands

Netherlands

The Netherlands is projected to witness a significant growth in its Restaurant Delivery market, with revenue reaching US$2.43bn by 2024.
This growth is expected to continue, showing an annual growth rate (CAGR 2024-2028) of 5.32%.
As a result, the market volume is projected to reach US$2.99bn by 2028.
In terms of user base, the Restaurant Delivery market in the Netherlands is expected to have a substantial number of users, amounting to 9.6m users by 2028.
The user penetration, which indicates the percentage of the population using restaurant delivery services, is projected to increase from 49.0% in 2024 to 55.4% by 2028.
The average revenue per user (ARPU) in the Netherlands' Restaurant Delivery market is estimated to be US$286.10.
This metric reflects the average amount of money spent by each user on restaurant delivery services.
When compared globally, in the United States is anticipated to generate the highest revenue in the Restaurant Delivery market, reaching a staggering US$36,950.00m by 2024.
This signifies the strong presence and market potential of the United States in this industry.
In terms of user penetration, in South Korea is projected to have the highest rate in the Restaurant Delivery market, with a projected rate of 53.5%.
This indicates a significant portion of the population in South Korea utilizing restaurant delivery services.
Overall, in the Netherlands is expected to experience substantial growth in its Restaurant Delivery market, both in terms of revenue and user base.
With the increasing popularity and convenience of restaurant delivery services, this market is poised for significant expansion in the coming years.
The Netherlands has seen a surge in demand for restaurant delivery services, driven by a combination of busy lifestyles and the desire for convenience.

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.