Market Insights Financial Wealth Management Digital Investment

Robo-Advisors - Oman

Oman

The Robo-Advisors market in Oman is projected to witness a significant growth in the coming years.
According to estimates, the assets under management in this market are expected to reach US$416.40m by 2024.
This projection indicates a positive trend, with an annual growth rate (CAGR 2024-2027) of 6.68%.
By 2027, the total assets under management in the Robo-Advisors market are projected to reach US$505.50m.
Furthermore, the number of users in the Robo-Advisors market is expected to increase steadily, reaching 9.740k users by 2027.
This growth in users is indicative of the increasing popularity and adoption of Robo-Advisors market in Oman.
In terms of average assets under management per user, the Robo-Advisors market in Oman is expected to see an average of US$46.15k in 2024.
This figure highlights the value and potential return on investment for individuals utilizing Robo-Advisors market in the country.
When compared globally, it is worth noting that in the United States leads the market with the highest assets under management, amounting to US$1,459,000.00m in 2024.
This serves as a benchmark for the growth and development of the Robo-Advisors market in Oman.
Robo-advisors are gaining popularity in Oman as investors seek automated, cost-effective solutions for managing their portfolios.

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

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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.