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Robo-Advisors - Sri Lanka

Sri Lanka

The Robo-Advisors market in Sri Lanka is projected to witness a substantial growth in assets under management.
By 2024, the assets under management are expected to reach a significant amount of US$641.70m.
This growth trend is further anticipated to continue, with an estimated annual growth rate (CAGR 2024-2027) of 9.72%.
As a result, the total projected amount of assets under management in the Robo-Advisors market in Sri Lanka is expected to reach US$847.60m by 2027.
Furthermore, the number of users in the Robo-Advisors market is also expected to witness a substantial increase.
By 2027, it is estimated that the number of users in Sri Lanka will amount to 40.710k users.
This indicates a growing interest and adoption of Robo-Advisors market among investors in the country.
In terms of average assets under management per user, it is projected to amount to US$17.10k in 2024.
This metric provides insight into the amount of assets managed by Robo-Advisors market per individual user in Sri Lanka.
When considering the global perspective, it is noteworthy to highlight that the highest assets under management in the Robo-Advisors market are observed United States.
In 2024, [globalrevenue_currentlayer_yeartoday_maxcountrynameprep] is projected to have assets under management totaling US$1,459,000.00m.
This comparison showcases the significant scale of the Robo-Advisors market United States compared to in Sri Lanka.
Overall, these projections and comparisons demonstrate the potential and growth of the Robo-Advisors market in Sri Lanka, albeit with a smaller scale when compared to global leaders like United States.
Sri Lanka's growing middle class and increasing digital penetration are driving the adoption of robo-advisors in the local market.

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.