Market Insights Financial Wealth Management Digital Investment

Robo-Advisors - Guyana

Guyana

The Robo-Advisors market in Guyana is projected to see assets under management reach US$68.03m by 2024.
This represents a significant growth potential for the industry.
Furthermore, it is expected that the assets under management will continue to grow at an annual rate of 13.09% from 2024 to 2027, resulting in a projected total amount of US$98.40m by 2027.
Looking at the number of users in the Robo-Advisors market, it is estimated that by 2027, there will be approximately 1,820.000users users.
This indicates a growing interest in this segment among investors in Guyana.
In terms of average assets under management per user in the Robo-Advisors market, it is projected to amount to US$46.19k in 2024.
This metric provides insights into the average investment size per user, highlighting the potential value individuals in Guyana are willing to entrust to these digital investment platforms.
When compared globally, it is interesting to note that United States leads the market with the highest assets under management.
In 2024, United States is projected to reach an impressive US$1,459,000.00m in assets under management, further demonstrating the maturity and scale of the industry in that country.
Despite the growing popularity of robo-advisors in global markets, the use of such services is still relatively limited in Guyana due to a lack of awareness and trust in digital investment platforms.

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.