Market Insights Financial Wealth Management Digital Investment

Robo-Advisors - Lebanon

Lebanon

The Robo-Advisors market in Lebanon is expected to see a significant increase in assets under management, with projections indicating that it will reach US$405.40m by 2024.
This growth is attributed to an estimated annual growth rate of 7.07% between 2024 and 2027, resulting in a projected total amount of US$497.60m by 2027.
Furthermore, the number of users in the Robo-Advisors market is projected to reach 13.140k users by 2027.
This indicates a growing interest and adoption of this investment approach among individuals in Lebanon.
In terms of average assets under management per user, it is anticipated that each user in the Robo-Advisors market will have approximately US$31.12k worth of assets under management in 2024.
When compared globally, it is worth noting that in the United States currently holds the highest assets under management in the Robo-Advisors market, with a staggering US$1,459,000.00m expected in 2024.
This highlights the significant scale and potential of this market segment on a global scale.
Lebanon's Robo-Advisor market is witnessing a steady growth, driven by increasing demand for automated investment services among tech-savvy Lebanese investors.

Key regions: Singapore, Asia, Germany, Canada, Europe

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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.