Robo-Advisors - Russia

  • Russia
  • In 2024, the Robo-Advisors market in Russia is projected to reach an impressive amount of US$11,400.00m in assets under management.
  • This indicates a significant growth potential for the country in this market segment.
  • Furthermore, it is expected that the assets under management will continue to grow at an annual growth rate of 8.17% from 2024 to 2027, resulting in a projected total amount of US$14,430.00m by 2027.
  • This demonstrates the positive trajectory and potential profitability of the Robo-Advisors market in Russia.
  • In terms of user base, the number of Robo-Advisors market users in Russia is anticipated to reach 228.400k users by 2027.
  • This highlights the increasing popularity and adoption of Robo-Advisory services among investors in the country.
  • Moreover, in 2024, the average assets under management per user in the Robo-Advisors market in Russia is expected to amount to US$51.16k.
  • This indicates the potential value and financial significance of each user within the market.
  • When comparing the global landscape, it is worth noting that in the United States currently leads the industry with the highest assets under management, reaching a staggering US$1,459,000.00m in 2024.
  • This showcases the dominant position and scale of the Robo-Advisors market in the United States.
  • Overall, the Robo-Advisors market in Russia is poised for significant growth and offers ample opportunities for investors and market participants.
  • Russia's growing tech-savvy middle class is fueling the rapid adoption of Robo-Advisors as a cost-effective and accessible investment solution.

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.

Overview

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