Market Insights Financial Wealth Management Digital Investment

Neobrokers - Italy

Italy

Revenue in the Neobrokers market of Italy is projected to reach US$306.40m in 2024.
It is expected to show an annual growth rate (CAGR 2024-2027) of 1.84%, resulting in a projected total amount of US$323.60m by 2027.
The average revenue per user in the Neobrokers market of Italy amounts to US$50.84 in 2024.
From a global comparison perspective, it is shown that the highest revenue is reached by another country in 2024.
Assets under management in the Neobrokers market of Italy are projected to reach US$32.29bn in 2024.
They are expected to show an annual growth rate (CAGR 2024-2027) of 1.84%, resulting in a projected total amount of US$34.11bn by 2027.
The average assets under management per user in the Neobrokers market of Italy is expected to amount to US$5.36k in 2024.
From a global comparison perspective, it is shown that the highest assets under management are reached by United States in 2024.
In the Neobrokers market of Italy, the number of users is expected to amount to 6.28m users by 2027.
User penetration will be 10.0% in 2024 and is expected to hit 10.5% by 2027.
Italy's neobroker market is experiencing a surge in popularity as more Italians seek convenient and user-friendly platforms for their investment needs.

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.