Market Insights Technology Cybersecurity Cyber Solutions

Network Security - Eastern Asia

Eastern Asia

The Eastern Asian Network Security market is expected to see a significant increase in revenue, with projections indicating that it will reach US$1.22bn in 2024.
Furthermore, the market is set to experience a steady growth rate of 9.83% annually from 2024 to 2029, resulting in a market volume of US$1.95bn by 2029.
Looking at the spending patterns within the market, the average Spend per Employee is estimated to reach US$1.34 in 2024.
In terms of global comparison, it is noteworthy that United States is projected to generate the highest revenue in the Network Security market, with an estimated amount of US$10,830.0m in 2024.
In Eastern Asia, the network security market is rapidly growing due to the increasing digitalization and cyber threat concerns in countries like China, Japan, and South Korea.

Key regions: United States, Germany, Saudi Arabia, Brazil, Chile

Market

Region

Region comparison

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.