Retail Delivery - Sweden

  • Sweden
  • Revenue in the Reail Delivery market in Sweden is projected to reach US$1.81bn SEK in 2024.
  • The market is expected to show an annual growth rate (CAGR 2024-2029) of 11.51%, resulting in a projected market volume of US$3.12bn SEK by 2029.
  • By 2029, the number of users in the Reail Delivery market is expected to amount to 3.2m users.
  • User penetration is projected to be 23.4% in 2024 and is expected to reach 29.3% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$0.72k SEK.
  • In the global comparison, the highest revenue in the Reail Delivery market is projected to be generated United States, with US$195,400.00m SEK in 2024.
  • The United States has the highest projected user penetration rate in the Reail Delivery market, with a rate of 30.4%.
  • The retail delivery market in Sweden is characterized by a strong emphasis on sustainability and eco-friendly practices, with a growing demand for electric and hybrid delivery vehicles.
 
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Analyst Opinion

Sweden, a country known for its innovative and tech-savvy population, has seen a significant development in its retail delivery market in recent years.

Customer preferences:
Swedish consumers are increasingly demanding faster and more convenient delivery options. With the rise of e-commerce, customers expect to receive their purchases quickly and with greater flexibility. The trend towards same-day or next-day delivery has become more prevalent in Sweden, with many retailers offering these options to meet customer demands.

Trends in the market:
One of the key trends in the Swedish retail delivery market is the growth of last-mile delivery services. Last-mile delivery refers to the final stage of the delivery process, from the distribution center to the customer's doorstep. As more consumers shop online, last-mile delivery has become a critical part of the supply chain, and many retailers are investing in this area to improve their delivery services.Another trend in the market is the rise of alternative delivery methods, such as click-and-collect or pick-up points. These options allow customers to collect their purchases from a designated location, such as a local store or locker, at a time that suits them. This provides greater flexibility for customers and can also reduce delivery costs for retailers.

Local special circumstances:
Sweden's geography and population density also play a role in the development of the retail delivery market. With a relatively small population spread out over a large area, delivery services need to be efficient and cost-effective to reach customers in remote locations. This has led to the development of innovative delivery solutions, such as drone or robot deliveries, which can reach customers in even the most remote areas.

Underlying macroeconomic factors:
Sweden's strong economy and high standard of living have also contributed to the growth of the retail delivery market. With a high level of disposable income, Swedish consumers are willing to pay for premium delivery services and are increasingly demanding faster and more convenient options. This has led to increased competition among retailers to provide the best delivery services possible, driving innovation and development in the market.

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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