Market Insights Financial Wealth Management Digital Investment

Robo-Advisors - Netherlands

Netherlands

The market segment of Robo-Advisors market in the Netherlands is projected to see a significant increase in assets under management.
It is estimated that by 2024, the total assets under management will reach US$4,445.00m.
Furthermore, it is expected that the assets under management will continue to grow at an annual growth rate of 7.03% from 2024 to 2027, resulting in a projected total amount of US$5,450.00m by 2027.
In terms of user numbers, it is anticipated that the Robo-Advisors market in the Netherlands will have approximately 42.680k users users by 2027.
When considering the average assets under management per user in the Robo-Advisors market in the Netherlands, it is projected to be US$105.30k in 2024.
This indicates the amount of assets managed by each individual user within the market.
In a global comparison, it is noteworthy that in the United States leads in terms of assets under management in the Robo-Advisors market.
In 2024, in the United States is projected to have the highest assets under management, reaching a total of US$1,459,000.00m.
This demonstrates the significant scale of the market in the United States compared to other countries, including in the Netherlands.
The Netherlands is experiencing a growing trend in the adoption of Robo-Advisors, as investors seek efficient and tech-driven solutions for their financial needs.

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.