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Neobrokers - BRICS

BRICS

The Neobrokers market in BRICS is projected to generate a revenue of US$2,861.00m by 2024.
It is anticipated that the revenue will experience an annual growth rate (CAGR 2024-2027) of 4.69%, resulting in a projected total amount of US$3,283.00m by 2027.
The average revenue per user in the Neobrokers market is estimated to be US$8.74 in 2024.
Comparatively, the highest revenue is achieved by 0 ([globalrevenue_currentlayer_yeartoday_maxcountrynameprep]) in 2024.
In terms of assets under management, the Neobrokers market in BRICS is expected to reach US$301.50bn by 2024.
The assets under management are projected to grow at an annual rate of 4.70% (CAGR 2024-2027), resulting in a projected total amount of US$346.00bn by 2027.
The average assets under management per user in the Neobrokers market is expected to be US$920.60 in 2024.
Among global comparisons, United States leads with assets under management amounting to US$323,100.00m in 2024.
Looking at user numbers, it is estimated that the Neobrokers market in BRICS will have approximately 350.50m users users by 2027.
The user penetration rate is expected to be 9.9% in 2024 and is projected to increase to 10.4% by 2027.
In Brazil, the neobroker market is experiencing rapid growth due to the country's large population and increasing interest in investing.

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.