Market Insights Financial Wealth Management Digital Investment

Robo-Advisors - ASEAN

ASEAN

The Robo-Advisors market in ASEAN is projected to see its assets under management reach US$22.54bn by 2024.
This represents a substantial increase in the management of assets by Robo-Advisors market.
Furthermore, the assets under management are expected to exhibit an annual growth rate (CAGR 2024-2027) of 9.12%, resulting in a projected total amount of US$29.29bn by 2027.
In terms of user numbers, the Robo-Advisors market in ASEAN is expected to have approximately 1.650m users users by 2027.
This indicates a growing adoption of Robo-Advisors market among individuals seeking investment services.
When considering the average assets under management per user in the Robo-Advisors market, it is projected to amount to US$14.59k in 2024.
This metric provides insight into the size of investments made by individual users in the ASEAN region.
From a global perspective, it is noteworthy to mention that United States currently holds the highest assets under management in the Robo-Advisors market, with a staggering US$1,459,000.00m projected for 2024.
This highlights the dominance of the United States in terms of assets managed by Robo-Advisors market.
In Singapore, the robo-advisor market is thriving, with strong adoption rates and a competitive landscape of established players.

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.