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Robo-Advisors - South Korea

South Korea

The South Korean market for Robo-Advisors market is projected to see a significant increase in assets under management, with a projected amount of €5.59bn in 2024.
It is expected that the assets under management will continue to grow at an annual rate of 6.12% from 2024 to 2027, resulting in a total projected amount of €6.68bn by 2027.
In line with this growth, the number of users in the South Korean Robo-Advisors market is anticipated to reach 138.700k users by 2027.
In 2024, the average assets under management per user in the South Korean Robo-Advisors market is projected to be €42.51k.
This figure highlights the level of financial investment made by each user in the market.
When compared globally, United States leads in terms of assets under management in the Robo-Advisors market, with a projected amount of €1,353,000.00m in 2024.
This indicates the strong presence and dominance of the United States in this market segment.
The adoption of robo-advisors in South Korea is rapidly growing as tech-savvy investors seek cost-effective and convenient investment solutions.

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

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Comparaison de régions

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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.