Network Security - Australia & Oceania

  • Australia & Oceania
  • In 2024, the projected revenue in the Network Security market in Australia & Oceania is estimated to reach US$290.00m.
  • Looking ahead, the market is expected to display an annual growth rate (CAGR 2024-2029) of 9.92%.
  • This growth trajectory will result in a market volume of US$465.30m by 2029.
  • Furthermore, the average Spend per Employee in the Network Security market in Australia & Oceania is projected to reach US$13.64 in 2024.
  • This indicates the amount of investment allocated per employee within the industry.
  • In terms of global comparison, United States is anticipated to generate the highest revenue in the Network Security market.
  • In 2024, the projected revenue United States is expected to reach US$10,830.0m.
  • This highlights the significant market presence and economic impact of the United States in this segment.
  • The demand for advanced network security solutions in Australia is surging due to increasing cyber threats and government regulations.

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.

Overview

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