Application Security - Italy

  • Italy
  • The Application Security market in Italy is expected to witness substantial growth in the coming years.
  • According to projections, the revenue in this market is set to reach €112.80m by 2024.
  • It is anticipated that there will be a steady annual growth rate (CAGR 2024-2029) of 10.80%, resulting in a market volume of €188.40m by 2029.
  • When it comes to spending per employee in the Application Security market, it is estimated to reach €4.35 in 2024.
  • This metric provides insights into the level of investment companies are making in securing their applications.
  • In terms of global comparison, it is worth mentioning that United States is anticipated to generate the highest revenue in the Application Security market, with a projected amount of €2,757.0m in 2024.
  • This highlights the significant market dominance of the United States in this sector.
  • Italy's growing focus on cybersecurity has led to an increased demand for application security solutions in the country.

Key regions: Spain, Belgium, Brazil, India, Chile

 
Mercado
 
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Comparación de regiones
 
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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.

Visión general

  • Revenue
  • Key Players
  • Global Comparison
  • Methodology
  • Key Market Indicators
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