Neobrokers - Worldwide

  • Worldwide
  • Revenue in the Neobrokers market is projected to reach US$9.38bn in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.87% resulting in a projected total amount of US$10.29bn by 2029.
  • The average revenue per user in the Neobrokers market amounts to US$16.8 in 2024.
  • From a global comparison perspective it is shown that the highest revenue is reached 0 (0 in 2024).
  • Assets under management in the Neobrokers market are projected to reach US$989.10bn in 2024.
  • Assets under management are expected to show an annual growth rate (CAGR 2024-2029) of 1.74% resulting in a projected total amount of US$1,078.00bn by 2029.
  • The average assets under management per user in the Neobrokers market is expected to amount to US$1.8k in 2024.
  • From a global comparison perspective it is shown that the highest assets under management is reached in the United States (US$323,100.00m in 2024).
  • In the Neobrokers market, the number of users is expected to amount to 596.30m users by 2029.
  • User penetration will be 411.3% in 2024 and is expected to hit 408.7% by 2029.

Key regions: Canada, United Kingdom, United States, Europe, Switzerland

 
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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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