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Neobrokers - Germany

Germany

The Neobrokers market in Germany is projected to reach a revenue of US$335.40m in 2024.
It is expected to show an annual growth rate (CAGR 2024-2027) of 1.38%, resulting in a projected total revenue of US$349.50m by 2027.
The average revenue per user in the Neobrokers market is estimated to be US$42.65 in 2024.
When compared globally, it is evident that the highest revenue is achieved in other countries, with in Germany ranking 0 in 2024.
Furthermore, the assets under management in the Neobrokers market in Germany are projected to reach US$35.35bn in 2024.
It is expected to show an annual growth rate (CAGR 2024-2027) of 1.39%, resulting in a projected total amount of US$36.84bn by 2027.
The average assets under management per user in the Neobrokers market is expected to amount to US$4.50k in 2024.
When compared globally, it is shown that the highest assets under management are reached in the United States, with in Germany ranking second with US$323,100.00m in 2024.
In the Neobrokers market in Germany, the number of users is expected to reach 8.11m users by 2027.
User penetration, defined as the percentage of users in the total population, will be 9.4% in 2024 and is expected to rise to 9.7% by 2027.
Germany's neobroker market is experiencing rapid growth, fueled by a tech-savvy population and increasing demand for user-friendly investment platforms.

Key regions: Canada, Switzerland, United States, Germany, United Kingdom

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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.