Servers - Denmark

Denmark

Revenue in the Servers market is projected to reach €0.45bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 7.46%, resulting in a market volume of €0.60bn by 2028.
The average Spend per Employee in the Servers market is projected to reach €148.40 in 2024.
In global comparison, most revenue will be generated in the United States (€33,590m in 2024).

Key regions: Japan, Europe, Indonesia, United Kingdom, China

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Servers market in Denmark has been experiencing steady growth in recent years, driven by customer preferences for reliable and efficient computing solutions.

Customer preferences: Customers in Denmark place a high value on reliability and efficiency when it comes to their servers. They seek out servers that can handle their workload demands without experiencing downtime or performance issues. Additionally, customers are increasingly looking for servers that offer energy efficiency to reduce their carbon footprint and lower operating costs.

Trends in the market: One of the key trends in the Servers market in Denmark is the growing demand for cloud-based servers. Cloud computing has gained significant popularity in recent years due to its scalability and cost-effectiveness. Many businesses in Denmark are opting to migrate their servers to the cloud to take advantage of these benefits. This trend is expected to continue driving the growth of the cloud server segment in the country. Another trend in the market is the increasing adoption of virtualization technology. Virtualization allows businesses to maximize the use of their server resources by running multiple virtual machines on a single physical server. This technology helps reduce hardware costs and improves server efficiency. As businesses in Denmark look for ways to optimize their IT infrastructure, virtualization has become a popular solution.

Local special circumstances: Denmark has a strong focus on sustainability and renewable energy. The country is known for its commitment to green initiatives and has set ambitious goals for reducing carbon emissions. This focus on sustainability extends to the Servers market, where there is a growing demand for energy-efficient servers. Vendors that can offer servers with low power consumption and environmentally friendly features have a competitive advantage in the Danish market.

Underlying macroeconomic factors: Denmark has a stable and prosperous economy, which has contributed to the growth of the Servers market. The country has a high level of digitalization and a strong IT infrastructure, creating a favorable environment for server deployments. Additionally, Denmark has a well-educated workforce and a culture that values innovation and technology. These factors have attracted foreign investment and encouraged the development of the IT sector, further driving the demand for servers. In conclusion, the Servers market in Denmark is experiencing growth due to customer preferences for reliable and efficient computing solutions. The demand for cloud-based servers and virtualization technology is driving the market, while the country's focus on sustainability and strong economy provide favorable conditions for server deployments.

Methodology

Data coverage:

The data encompasses B2B enterprises. Figures are based on hardware-related expenses of businesses for setting up and maintaining an IT infrastructure.

Modeling approach / Market size:

Market sizes are determined through a top-down approach, building on a specific rationale for each market segment. As a basis for evaluating markets, we use annual financial reports and national statistical offices. In addition, we use relevant key market indicators and data from country-specific associations, such as GDP and level of digitization. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques, such as exponential trend smoothing and the S-curve function, is based on the behavior of the relevant market.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war is considered at a country-specific level.