Market Insights Financial Wealth Management Digital Investment

Robo-Advisors - Malawi

Malawi

By 2024, it is projected that the assets under management in the Robo-Advisors market in Malawi will reach US$113.00m.
This market segment is expected to demonstrate a compound annual growth rate (CAGR) of 12.80% between 2024 and 2027, resulting in a projected total amount of US$162.20m by 2027.
In terms of the number of users, it is anticipated that the Robo-Advisors market in Malawi will have 16.340k users users by 2027.
Furthermore, the average assets under management per user in this market segment is projected to be US$8.23k in 2024.
When comparing in Malawi to other countries globally, it is worth noting that United States is expected to have the highest assets under management in the Robo-Advisors market, reaching US$1,459,000.00m in 2024.
Despite the growing popularity of robo-advisors globally, the adoption of such services in Malawi remains relatively low due to limited access to internet and financial literacy.

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.