Market Insights Financial Wealth Management Digital Investment

Robo-Advisors - Sweden

Sweden

In 2024, the assets under management in the Robo-Advisors market in Sweden are projected to reach US$2,927.00m.
It is expected that these assets will show an annual growth rate of 7.68% from 2024 to 2027, resulting in a projected total amount of US$3,654.00m by 2027.
By 2027, the number of users in the Robo-Advisors market in Sweden is expected to amount to 26.970k users.
This indicates that the average assets under management per user in the Robo-Advisors market in Sweden is projected to amount to US$111.90k in 2024.
In terms of global comparison, it is worth noting that in the United States has the highest assets under management in the Robo-Advisors market.
In 2024, the assets under management in the United States are projected to reach US$1,459,000.00m.
Sweden is experiencing a surge in the adoption of robo-advisors, driven by its tech-savvy population and a strong culture of financial innovation.

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.