Cloud Security - Australia & Oceania

  • Australia & Oceania
  • The Cloud Security market in Australia & Oceania is anticipated to witness substantial growth in the coming years.
  • According to projections, the revenue in this market is expected to reach US$52.39m in 2024.
  • Moreover, it is estimated that the market will experience a steady annual growth rate (CAGR 2024-2029) of 26.24%, resulting in a market volume of US$168.00m by 2029.
  • Furthermore, the average Spend per Employee in the Cloud Security market is projected to reach US$2.46 in 2024, indicating the level of investment and expenditure in this sector.
  • When considering the global landscape, United States is expected to generate the highest revenue in the Cloud Security market.
  • In 2024 alone, United States is projected to generate a substantial revenue of US$869.2m, solidifying its position as a dominant player in the industry.
  • With the rise of cyber threats in Australia, the demand for cloud security solutions has skyrocketed, prompting local businesses to invest heavily in protecting their digital assets.

Key regions: Canada, Chile, Brazil, Spain, Germany

 
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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