Robo-Advisors - Switzerland

  • Switzerland
  • In 2024, the assets under management in the Robo-Advisors market in Switzerland are projected to reach €3,313.00m.
  • It is expected that these assets will show an annual growth rate (CAGR 2024-2027) of 7.16%, resulting in a projected total amount of €4,077.00m by 2027.
  • Additionally, the number of users in the Robo-Advisors market is expected to amount to 19.490k users by 2027.
  • The average assets under management per user in the Robo-Advisors market in Switzerland is projected to amount to €172.60k in 2024.
  • When comparing globally, it is worth noting that United States has the highest assets under management in the Robo-Advisors market, reaching €1,353,000.00m in 2024.
  • Switzerland's robust financial industry has propelled the adoption of robo-advisors, making it a leading market for digitally-managed investment services.

Key regions: Asia, Canada, Hong Kong, Singapore, Germany

 
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Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on transaction values / revenues / assets under management and user data of relevant services and products offered within the FinTech market.

Modeling approach / Market size:

Market sizes are determined through a combined top-down and bottom-up approach, building on a specific rationale for each market segment. As a basis for evaluating markets, we use annual financial reports of key players, industry reports, third-party reports, publicly available databases, and survey results from 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, consumer spending, population, internet penetration, smartphone penetration, credit card penetration, and online banking penetration. 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 are well suited for forecasting digital products and services due to the non-linear growth of technology adoption.

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 is considered at a country-specific level.

Visión general

  • Assets Under Management (AUM)
  • Revenue
  • Users
  • Methodology
  • Key Market Indicators
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