Market Insights Technology Cybersecurity Security Services

Managed Services - Central Asia

Central Asia

The Managed Services market in Central Asia is expected to witness a significant growth in revenue, with projections reaching US$59.60m by 2024.
Moreover, the market is anticipated to display a steady annual growth rate (CAGR 2024-2029) of 4.82%, resulting in a substantial market volume of US$75.42m by 2029.
When it comes to the average Spend per Employee, the Managed Services market is estimated to reach US$1.85 in 2024, indicating a considerable investment in this sector.
In terms of global comparison, United States is set to dominate in revenue generation, with an impressive figure of US$10,260.0m projected for 2024.
This highlights the significant market share and influence of the United States within the Managed Services market industry.
In Central Asia, the demand for managed services is rapidly growing as businesses seek to outsource their IT infrastructure management for enhanced efficiency and cost savings.

Key regions: India, Germany, Canada, Europe, Belgium

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.