Online Food Delivery - Sweden

  • Sweden
  • The projected revenue for the Online Food Delivery market in Sweden is expected to reach US$2.97bn in 2024.
  • This is projected to grow at an annual growth rate (CAGR 2024-2029) of 9.47%, resulting in a projected market volume of US$4.67bn by 2029.
  • In the Grocery Delivery market, a revenue growth of 16.1% is expected in 2025.
  • The projected market volume for Grocery Delivery in Sweden is US$2.44bn in 2024.
  • When compared globally, China is expected to generate the highest revenue in the Online Food Delivery market, with US$448.90bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to be US$637.70 in 2024.
  • In the Meal Delivery market, the number of users is expected to reach 5.2m users by 2029.
  • The user penetration in the Meal Delivery market in Sweden will be at 43.1% in 2024.
  • Please note that these figures are specific to the Online Food Delivery market in Sweden.
  • Sweden's online food delivery market is thriving, with a strong emphasis on sustainable and organic options.
 
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Analyst Opinion

Sweden, known for its rich cultural heritage and innovative spirit, has been witnessing a rapid growth in the online food delivery market.

Customer preferences:
Swedish customers are increasingly opting for online food delivery services due to their busy lifestyles and convenience. The demand for healthy and organic food options is also on the rise, with customers preferring locally sourced ingredients and sustainable packaging. Additionally, the COVID-19 pandemic has accelerated the adoption of online food delivery services as people are staying indoors and avoiding crowded places.

Trends in the market:
The online food delivery market in Sweden is witnessing a surge in competition, with new players entering the market and existing players expanding their services. The market is also witnessing a shift towards cloud kitchens, which are delivery-only kitchens that operate without a physical restaurant. This allows for lower overhead costs and greater flexibility in meeting customer demands. Furthermore, there is an increasing focus on providing a seamless customer experience through the use of technology such as mobile apps and online ordering systems.

Local special circumstances:
Sweden's unique geography and climate present challenges for the online food delivery market. The country's long winters and short summers make it difficult to source fresh produce locally year-round, leading to a reliance on imports. Additionally, the country's sparsely populated areas make it difficult for online food delivery services to operate outside of major cities.

Underlying macroeconomic factors:
Sweden's strong economy and high disposable income levels have contributed to the growth of the online food delivery market. The country's progressive policies towards sustainability and healthy living have also encouraged the adoption of online food delivery services that offer organic and locally sourced options. However, the high cost of living in Sweden may limit the growth of the market among lower-income groups.

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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