Retail Delivery - Switzerland

Switzerland

Highlights

The Reail Delivery market in Switzerland is projected to generate a revenue of CHF US$2.04bn by 2024.
This is expected to experience an annual growth rate of 9.34% from 2024 to 2029, resulting in a projected market volume of CHF US$3.19bn by 2029.
In terms of user base, the number of users in Switzerland's Reail Delivery market is expected to reach 2.6m users by 2029.
The user penetration rate, which measures the percentage of the population using Reail Delivery market services, is projected to increase from 22.9% in 2024 to 28.5% by 2029.
The average revenue per user (ARPU) is anticipated to be CHF US$1.00k.
When compared globally, United States is expected to generate the highest revenue in the Reail Delivery market, reaching CHF US$195.40bn in 2024.
On the other hand, United States is projected to have the highest user penetration rate of 30.4%.
Switzerland's retail delivery market is characterized by a strong focus on efficiency and precision, with a high demand for same-day delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Switzerland, a country known for its mountains, chocolates and watches, has a highly developed retail industry. The Retail Delivery market in Switzerland has been evolving, with new trends and developments shaping the industry.

Customer preferences: Swiss consumers are highly sophisticated and demand convenience and quality. They prefer online shopping due to its convenience and the ability to compare prices and products. Swiss consumers are also environmentally conscious and prefer eco-friendly packaging and delivery options.

Trends in the market: The Retail Delivery market in Switzerland has witnessed an increase in the number of online marketplaces and e-commerce platforms. The rise of these platforms has led to increased competition, with retailers competing on price, delivery speed and quality. Retailers are also investing in technology to improve their delivery services, such as using drones and robots for delivery.

Local special circumstances: Switzerland has a unique geography, with many remote and mountainous areas. This has led to challenges in delivering goods to these areas, leading to higher delivery costs. Swiss retailers have had to develop innovative solutions to overcome these challenges, such as using drones and helicopters for delivery.

Underlying macroeconomic factors: The Swiss economy is highly developed, with a high GDP per capita and low unemployment rates. This has led to high levels of disposable income and increased consumer spending. However, the Swiss retail industry is also facing challenges due to the strength of the Swiss franc, which has led to increased competition from foreign retailers. The Swiss government has also implemented strict regulations on the retail industry, such as restrictions on opening hours and pricing.In conclusion, the Retail Delivery market in Switzerland is evolving to meet the demands of highly sophisticated consumers. Retailers are investing in technology and innovative solutions to overcome the challenges posed by the country's unique geography. However, the industry is also facing challenges from increased competition and strict government regulations.

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.