Cloud Security - Worldwide

  • Worldwide
  • The Cloud Security market is expected to witness significant growth worldwide.
  • By 2024, the revenue in this market is projected to reach a staggering €1.88bn.
  • This growth is anticipated to continue at a compound annual growth rate (CAGR) of 26.17% from 2024 to 2029, resulting in a market volume of €6.01bn by 2029.
  • Furthermore, analyzing the average Spend per Employee in the Cloud Security market, it is estimated to reach €0.53 in 2024.
  • In terms of global comparison, the United States is expected to generate the highest revenue in the Cloud Security market.
  • By 2024, the revenue generated the United States alone is projected to be €797.7m.
  • This highlights the dominance of the United States in this market segment.
  • Worldwide, companies are increasingly adopting cloud security solutions to protect their data and ensure compliance with strict data protection regulations.

Key regions: Canada, Chile, Brazil, Spain, Germany

 
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.

Vue d’ensemble

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