Market Insights Financial Wealth Management Digital Investment

Robo-Advisors - Tunisia

Tunisia

The Robo-Advisors market in Tunisia is projected to see its assets under management reach US$477.70m by 2024.
This represents a significant growth potential for the country.
Looking ahead, the market is expected to maintain a strong annual growth rate (CAGR 2024-2027) of 22.37%, resulting in a projected total amount of US$875.30m by 2027.
Furthermore, the number of users in the Robo-Advisors market in Tunisia is anticipated to reach 26.000k users by 2027.
This indicates a growing interest and adoption of this investment approach among Tunisian investors.
When examining the average assets under management per user in the Robo-Advisors market in Tunisia, it is estimated to amount to US$19.99k in 2024.
This metric provides insights into the level of wealth managed by each individual user.
In a global comparison, it is worth noting that United States currently leads the market in terms of assets under management, with a staggering US$1,459,000.00m expected by 2024.
This highlights the dominance of the US market in the Robo-Advisors market industry.
Tunisia's emerging market for robo-advisors is driven by its tech-savvy population and growing interest in digital financial services.

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.