Market Insights Technology Cybersecurity Cyber Solutions

Data Security - Brazil

Brazil

The Data Security market in Brazil is expected to witness a significant growth in the coming years.
By 2025, the projected revenue is estimated to reach €80.59m.
Furthermore, it is anticipated that the market will experience an annual growth rate of 11.78%, resulting in a market volume of €125.80m by 2029.
In terms of the average Spend per Employee, it is projected to reach €0.73 in 2025.
This indicates the amount of money spent on Data Security market per employee in Brazil.
When compared globally, it is evident that United States will generate the highest revenue in the Data Security market.
In 2025, the projected revenue United States is estimated to be €2,960.0m.
This demonstrates the dominance of the United States in this market segment.
Brazil is experiencing a surge in demand for data security solutions, driven by increasing cyber threats and the need to protect sensitive information in the country's rapidly growing digital economy.

Key regions: Brazil, Saudi Arabia, Chile, Germany, Belgium

Marché

Région

Comparaison de régions

Monnaie

Methodology

Data coverage:

Data encompasses B2C, B2B and B2G enterprises. Figures are based on security spending excluding VAT and the number of cyberattacks.

Modeling approach / Market size:

Market sizes are determined by a combined top-down and bottom-up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use annual financial statements of the market-leading companies and industry associations, national statistical offices, and specific countries’ security organizations (e.g., German Cyber Security Council, Canadian Centre for Cyber Security). Furthermore, we use relevant key market indicators and data from country-specific associations, such as GDP and internet penetration. This data helps us to 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 particular market. Possible techniques are, for example, exponential trend smoothing and the autoregressive integrated moving average (ARIMA) forecasting algorithm. The main drivers are GDP, internet users, level of digitization, and consumer attitude towards data and IT security.

Additional notes:

Data is modeled using current exchange rates. The market is updated twice per year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level.