Market Insights Financial Wealth Management Digital Investment

Robo-Advisors - Burundi

Burundi

The market segment of Robo-Advisors market in Burundi is projected to see a significant increase in assets under management.
By 2024, it is estimated that the assets under management in this market will reach US$35.14m.
Furthermore, these assets are expected to exhibit a compound annual growth rate (CAGR 2024-2027) of 12.62%, resulting in a projected total amount of US$50.20m by 2027.
In addition to the growth in assets under management, the number of users in the Robo-Advisors market is also expected to rise.
It is projected that by 2027, there will be approximately 8.840k users users in Burundi utilizing Robo-Advisors market.
When considering the average assets under management per user in the Robo-Advisors market, it is estimated that each user will have an average of US$5.09k in 2024.
In a global comparison, it is worth noting that United States currently holds the highest assets under management in the Robo-Advisors market.
In 2024, United States is projected to have assets under management amounting to US$1,459,000.00m.
Despite its growing economy, Burundi's lack of technological infrastructure hinders the adoption of robo-advisors in the country.

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.