Robo-Advisors - Luxembourg

  • Luxembourg
  • The market segment of Robo-Advisors market in Luxembourg is projected to witness a significant growth in assets under management.
  • It is estimated that by 2024, the assets under management will reach US$294.50m.
  • This growth is expected to continue with an annual growth rate (CAGR 2024-2027) of 9.33%, resulting in a projected total amount of US$384.90m by 2027.
  • Furthermore, in the Robo-Advisors market in Luxembourg, the number of users is expected to increase to 1.420k users by 2027.
  • This indicates a growing interest in utilizing Robo-Advisors market for investment purposes.
  • When considering the average assets under management per user in the Robo-Advisors market in Luxembourg, it is anticipated to amount to US$221.10k in 2024.
  • This showcases the potential value that each user can expect to have under management.
  • In a global context, it is noteworthy to mention that United States leads the market with the highest assets under management.
  • In 2024, United States is projected to have assets under management of US$1,459,000.00m.
  • This demonstrates the dominance of the United States in the Robo-Advisors market.
  • Overall, Luxembourg's Robo-Advisors market is expected to experience substantial growth in assets under management, number of users, and average assets under management per user.
  • However, it is important to note that United States remains the market leader in terms of assets under management.
  • Luxembourg's robust regulatory framework and reputation for financial stability make it an attractive destination for robo-advisors seeking to tap into the European market.

Key regions: Asia, Canada, Hong Kong, Singapore, Germany

 
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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.

Overview

  • Assets Under Management (AUM)
  • Revenue
  • Users
  • Methodology
  • Key Market Indicators
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