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Robo-Advisors - Germany

Germany

By 2024, the projected assets under management in the Robo-Advisors market in Germany are expected to reach US$18.99bn.
This market segment is anticipated to exhibit an annual growth rate of 8.36% (CAGR 2024-2027), resulting in a projected total of US$24.16bn by 2027.
In Germany's Robo-Advisors market, the number of users is expected to reach 270.800k users by 2027.
Furthermore, the average assets under management per user in this market segment is projected to amount to US$73.35k in 2024.
When compared globally, in the United States leads with the highest assets under management, reaching US$1,459,000.00m in 2024.
Germany's robust regulatory framework and strong investor protection laws have contributed to the rapid growth of the robo-advisor market in the country.

Key regions: Singapore, Asia, Germany, Canada, Europe

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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.