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Data Security - Uzbekistan

Uzbekistan

The Data Security market in Uzbekistan is expected to witness significant growth in the coming years.
According to projections, the revenue in this market is set to reach US$1.53m by 2024.
Furthermore, it is anticipated that there will be an annual growth rate (CAGR 2024-2029) of 17.38%, leading to a market volume of US$3.41m by 2029.
In terms of spending, the average Spend per Employee in the Data Security market is estimated to be US$0.11 in 2024.
This indicates the level of investment that companies in Uzbekistan are willing to make in order to ensure data security.
When compared globally, it is worth noting that United States is projected to generate the highest revenue in the Data Security market, with an estimated amount of US$2,891.0m in 2024.
This highlights the dominance of the United States in this particular market segment.
Uzbekistan's data security market is growing rapidly due to the government's focus on strengthening cybersecurity measures.

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

Market

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Currency

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.