Robo-Advisors - Worldwide

  • Worldwide
  • The worldwide Robo-Advisors market is projected to see a significant increase in assets under management, reaching a staggering US$1,802.00bn by the year 2024.
  • The market is expected to continue growing at an annual growth rate of 8.06% from 2024 to 2027, resulting in a projected total amount of US$2,274.00bn by the end of 2027.
  • Furthermore, the number of users in the Robo-Advisors market is expected to reach 34.020m users by 2027.
  • This showcases the growing popularity and adoption of Robo-Advisors market among investors worldwide.
  • In terms of the average assets under management per user, it is anticipated to be approximately US$55.16k in the year 2024.
  • This figure highlights the significant financial potential that Robo-Advisors market hold for individual investors.
  • When comparing the global market, in the United States takes the lead with the highest assets under management, projected to reach US$1,459,000.00m by 2024.
  • This showcases the robustness and dominance of the US market in the Robo-Advisors market.
  • Overall, the Robo-Advisors market is witnessing remarkable growth worldwide, with substantial assets under management and an increasing number of users.
  • The United States stands out as a key player in this market segment.
  • Robo-advisors are gaining popularity worldwide as investors in countries like the United States, United Kingdom, and Germany seek automated and cost-effective investment solutions.

Key regions: Singapore, Asia, Germany, Canada, Europe

Region comparison


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.


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.


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