Quick Commerce - Northern Europe

  • Northern Europe
  • The Quick Commerce market in Northern Europe is anticipated to achieve a revenue of US$0.91bn by 2024.
  • This market is expected to exhibit a compound annual growth rate (CAGR 2024-2029) of 8.05%, resulting in a projected market volume of US$1.34bn by 2029.
  • By that year, the number of users in the Quick Commerce market is estimated to reach 5.9m users.
  • The user penetration rate is projected to be 11.9% in 2024 and is anticipated to increase to 17.2% by 2029.
  • The average revenue per user (ARPU) is expected to be US$225.50.
  • In terms of global comparison, China is predicted to generate the highest revenue in the Quick Commerce market, reaching US$80,840.00m in 2024.
  • China also holds the highest projected user penetration rate of 21.4% in this market.
  • In Northern Europe, quick commerce has experienced significant growth, with countries like Sweden leading the way in embracing on-demand delivery services.
 
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Analyst Opinion

The Quick Commerce market in Northern Europe has been rapidly developing in recent years, with several key trends and developments driving growth in the region.

Customer preferences:
Consumers in Northern Europe have shown a strong preference for convenience and speed when it comes to shopping, which has fueled the growth of Quick Commerce in the region. With busy lifestyles and a desire for instant gratification, many consumers are turning to on-demand delivery services that can provide them with the products they need quickly and efficiently.

Trends in the market:
One of the key trends in the Quick Commerce market in Northern Europe is the rise of local players. While global giants like Amazon and Uber Eats have a presence in the region, many consumers are opting for smaller, local providers that offer a more personalized and tailored service. These providers often have a better understanding of local consumer preferences and can offer more flexible delivery options.Another trend driving growth in the Quick Commerce market in Northern Europe is the increasing use of technology. Many providers are leveraging cutting-edge technology like artificial intelligence and machine learning to improve their operations and provide a more seamless customer experience. This has led to faster delivery times, more accurate order fulfillment, and a higher level of customer satisfaction.

Local special circumstances:
The Quick Commerce market in Northern Europe is also being shaped by local special circumstances. For example, the region's cold climate and long winters have led to a growing demand for online grocery delivery services, as consumers are less likely to want to venture out to the store in inclement weather. Additionally, the region's high population density and well-established transportation infrastructure make it an ideal market for on-demand delivery services.

Underlying macroeconomic factors:
Several macroeconomic factors are also driving growth in the Quick Commerce market in Northern Europe. For example, the region's strong economy and high standard of living have created a large and affluent consumer base that is willing to pay a premium for convenience and speed. Additionally, the region's well-developed e-commerce infrastructure and high levels of internet penetration have made it easier for Quick Commerce providers to reach consumers and fulfill orders efficiently. Finally, the region's progressive regulatory environment and focus on sustainability have created a favorable business climate for companies that prioritize environmental and social responsibility.

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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