Data Security - Denmark

  • Denmark
  • Denmark is expected to witness a significant growth in revenue within the Data Security market.
  • By 2024, revenue is projected to reach €8.91m.
  • This growth is anticipated to continue with an annual growth rate (CAGR 2024-2029) of 10.47%, resulting in a market volume of €14.66m by 2029.
  • Furthermore, the average Spend per Employee in the Data Security market is estimated to reach €2.74 in 2024.
  • This indicates the level of investment and emphasis placed on data security within the country.
  • In terms of global comparison, it is worth noting that United States is expected to generate the highest revenue in the Data Security market.
  • In 2024, United States is projected to generate €2,653.0m in revenue.
  • This highlights the strong presence and dominance of the United States in this market segment.
  • Denmark's stringent data protection laws and advanced cybersecurity infrastructure have positioned it as a leading advocate for data security in the European market.

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

 
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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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