The Robo-Advisors segment contains private asset management providers who offer automated online portfolios in which private investors can choose investment volumes depending on their scope and private appetite for risk. Providers such as Wealthfront, Schwab Intelligent Portfolios and Betterment allow private and/or institutional investors to invest their money (starting at very small amounts) in pre-existing portfolios, which are automatically managed by individually configured algorithms. The advantage of these services lies in the passive role of the investor, who may not want or cannot afford ongoing personal monitoring of their portfolio development. Such automated investment services also allow for attractive returns with low starting capital and without specific investment know-how, which is in contrast to classic investments offered by traditional banks. In the Robo-Advisors segment, financial figures show the assets under management of automated online portfolios.
Online brokers without automated and recommendation-based advisory functions are not included in this segment.
Automated online portfolio management of private assets
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.
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.
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.