Grocery Delivery - Netherlands

  • Netherlands
  • The projected revenue in the Grocery Delivery market in the Netherlands is set to reach US$4.69bn in 2024.
  • This indicates an anticipated annual growth rate (CAGR 2024-2029) of 10.31%, resulting in a projected market volume of US$7.66bn by 2029.
  • In comparison, the Retail Delivery market is expected to have a market volume of US$3.59bn in 2024.
  • Among all countries worldwide, China is projected to generate the highest revenue in the Grocery Delivery market, with US$266.00bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market in the Netherlands is projected to be US$0.75k in 2024.
  • Additionally, the number of users in the Grocery Delivery market is expected to reach 8.2m users by 2029.
  • The user penetration rate in the Grocery Delivery market in the Netherlands is estimated to be at 35.6% in 2024.
  • The Netherlands has seen a surge in demand for grocery delivery services due to the convenience and time-saving benefits it offers to busy urban dwellers.
 
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Analyst Opinion

The Netherlands is known for its love of cycling, and this may be one reason why the Grocery Delivery market in the country is growing rapidly.

Customer preferences:
Dutch consumers are increasingly opting for online grocery shopping and delivery services due to their busy lifestyles. The convenience of having groceries delivered to their doorstep is a major factor in their decision-making. Additionally, the COVID-19 pandemic has accelerated the adoption of online grocery shopping as people try to avoid crowded supermarkets.

Trends in the market:
The Grocery Delivery market in the Netherlands is expected to continue its growth trajectory in the coming years. Major players in the market are investing in technology to improve their services and expand their reach. For example, some companies are using electric cargo bikes to make deliveries in urban areas where it can be difficult to navigate with a car. Others are using AI and machine learning to optimize delivery routes and reduce delivery times.

Local special circumstances:
The Netherlands is a densely populated country with a high percentage of people living in urban areas. This makes it an ideal market for grocery delivery services, as it can be difficult and time-consuming to travel to a supermarket, especially during rush hour. Additionally, the country has a high level of internet penetration, which makes it easy for consumers to order groceries online.

Underlying macroeconomic factors:
The Netherlands has a strong economy with a high GDP per capita, which means that consumers have more disposable income to spend on convenience services like grocery delivery. Additionally, the country has a well-developed logistics infrastructure, which makes it easier for companies to offer fast and efficient delivery services. Finally, the Dutch government is supportive of innovation and technology, which has created a favorable environment for companies to invest in new technologies to improve their services.

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
  • Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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