Application Security - Qatar

  • Qatar
  • The Application Security market in Qatar is expected to witness a significant growth in revenue, with projections indicating that it will reach €2.48m QAR by 2024.
  • Furthermore, the market is expected to exhibit a steady annual growth rate of 13.05% from 2024 to 2029, resulting in a market volume of €4.58m QAR by the end of 2029.
  • When it comes to the spending patterns in this market segment, the average Spend per Employee is projected to reach €1.19 QAR in 2024.
  • This metric provides insights into the investment made by companies to ensure the security of their applications.
  • In a global context, United States is anticipated to generate the highest revenue in the Application Security market, with an estimated €2,757.0m QAR in 2024.
  • This highlights the significance of the US market and its leading role in this sector.
  • "Qatar's growing focus on cybersecurity has led to a surge in demand for application security solutions."

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

 
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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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