Platform Delivery - Switzerland

Switzerland

Highlights

The revenue in the Platform Delivery market in Switzerland is projected to reach US$64.80m in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 3.41%, resulting in a projected market volume of US$76.62m by 2029.
Additionally, the number of users in the Platform Delivery market is expected to amount to 635.7k users by 2029.
The user penetration in Switzerland will be 6.5% in 2024 and is expected to hit 7.0% by 2029.
Moreover, the average revenue per user (ARPU) in Switzerland is expected to amount to US$112.60.
In global comparison, China is projected to generate the most revenue in the Platform Delivery market with US$166.80bn in 2024.
Furthermore, China will have the highest user penetration rate in the Platform Delivery market with a projected rate of 52.8%.
Switzerland's platform delivery market is thriving due to the country's efficient logistics infrastructure and high demand for online shopping.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Platform Delivery market in Switzerland has been experiencing a steady growth in recent years.

Customer preferences: Swiss customers have shown a growing preference for online shopping, which has led to an increase in demand for platform delivery services. The convenience of being able to order products online and have them delivered directly to their doorstep has become increasingly popular among Swiss consumers. Furthermore, the COVID-19 pandemic has accelerated the adoption of online shopping, leading to a surge in demand for platform delivery services.

Trends in the market: One of the major trends in the Platform Delivery market in Switzerland is the increasing use of drones for delivery. With the Swiss government's support for drone technology, several companies have started testing drone deliveries in the country. This has not only increased the speed of deliveries but has also reduced the cost of last-mile delivery. Another trend is the growing popularity of same-day delivery services, which has become a key differentiator for platform delivery companies.

Local special circumstances: Switzerland's unique geography and infrastructure have created some challenges for platform delivery companies. The country's mountainous terrain and scattered population centers have made it difficult for companies to offer fast and efficient delivery services. However, the use of drones and other innovative technologies is helping to overcome these challenges.

Underlying macroeconomic factors: Switzerland's strong economy and high standard of living have contributed to the growth of the Platform Delivery market. The country's stable political environment, well-developed infrastructure, and highly skilled workforce have made it an attractive destination for platform delivery companies. Additionally, the Swiss government's support for innovation and technology has helped to create a favorable environment for the growth of the Platform Delivery market.

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.