Robo-Advisors - Myanmar

  • Myanmar
  • The Robo-Advisors market in Myanmar is projected to witness substantial growth in the coming years.
  • By 2024, the assets under management in this market are expected to reach a significant amount of US$358.60m.
  • This growth is further expected to continue with an annual growth rate of 6.95% from 2024 to 2027, resulting in a projected total amount of US$438.70m by 2027.
  • In line with this growth, the number of users in the Robo-Advisors market in Myanmar is also expected to increase.
  • By 2027, it is estimated that the number of users will reach 101.400k users.
  • This indicates a growing interest in utilizing Robo-Advisors market services for investment purposes.
  • Furthermore, the average assets under management per user in the Robo-Advisors market in Myanmar is projected to amount to US$3.60k in 2024.
  • This figure provides insights into the average investment value managed by each user in this market segment.
  • When comparing the assets under management globally, it is worth noting that United States currently leads the market.
  • In 2024, United States is expected to reach an impressive amount of US$1,459,000.00m in assets under management in the Robo-Advisors market.
  • This showcases the dominance of the United States in this segment on a global scale.
  • Myanmar's nascent Robo-Advisor market is gaining traction, as the country embraces digital financial services and seeks to modernize its investment landscape.

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.

Overview

  • Assets Under Management (AUM)
  • Revenue
  • Users
  • Methodology
  • Key Market Indicators
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