Market Insights Technology Cybersecurity Security Services

Managed Services - Sudan

Sudan

The Managed Services market in Sudan is projected to witness a significant revenue growth in the coming years.
By 2025, the revenue is estimated to reach US$3.31m units.
This growth is expected to continue at a steady pace, with an annual growth rate (CAGR 2025-2029) of 0.08%.
As a result, the market volume is projected to reach US$3.32m units by 2029.
In terms of average Spend per Employee, the Managed Services market in Sudan is expected to reach US$0.23 units in 2025.
This indicates the level of investment made by each employee in the market segment.
When compared to other countries globally, United States is anticipated to generate the highest revenue in the Managed Services market.
In 2025, the revenue United States is projected to reach a staggering US$10,600.0m units.
This highlights the dominant position of the United States in the global market.
Sudan's Managed Services market is experiencing significant growth as businesses seek to outsource their IT infrastructure management to specialized service providers.

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

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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.