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Robo-Advisors - Moldova

Moldova

The Moldovan Robo-Advisors market is expected to witness significant growth in the coming years.
By 2024, assets under management in this market are projected to reach US$169.00m.
This growth is expected to continue at an annual rate of 9.52% from 2024 to 2027.
As a result, the total assets under management in Moldova's Robo-Advisors market are projected to reach US$222.00m by 2027.
Furthermore, the number of users in Moldova's Robo-Advisors market is expected to reach 5.870k users by 2027.
This indicates a growing interest in automated investment services among investors in the country.
In terms of average assets under management per user, Moldova's Robo-Advisors market is expected to see an average of US$30.87k in 2024.
This metric indicates the amount of assets managed by Robo-Advisors market per individual user in the market.
When comparing Moldova's Robo-Advisors market to other countries globally, it is worth noting that in the United States currently holds the highest assets under management in this market.
In 2024, in the United States is projected to have assets under management amounting to US$1,459,000.00m.
This showcases the dominant position of the United States in the Robo-Advisors market on a global scale.
In Moldova, the Robo-Advisor market is experiencing steady growth, driven by increased interest from tech-savvy investors.

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.