Market Insights Financial Wealth Management Digital Investment

Robo-Advisors - Saudi Arabia

Saudi Arabia

The Robo-Advisors market in Saudi Arabia is projected to see a significant increase in assets under management, reaching a staggering amount of US$3.74bn in 2024.
This growth is expected to continue with an annual growth rate (CAGR 2024-2027) of 8.67%, resulting in a projected total of US$4.80bn by 2027.
Furthermore, the number of users in the Robo-Advisors market is anticipated to reach 119.700k users by 2027.
This indicates a growing interest in utilizing these automated investment platforms.
In terms of average assets under management per user, it is projected to amount to US$32.50k in 2024.
This metric provides an insight into the average investment value per user in the Robo-Advisors market.
When comparing the global market, it is worth noting that in the United States leads with the highest assets under management, reaching an impressive US$1,459,000.00m in 2024.
This showcases the dominance of the US in this market segment.
Robo-Advisors are gaining traction in the Saudi Arabian market, as tech-savvy investors seek convenient and automated investment solutions.

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

Market

Region

Region comparison

Currency

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.