Enterprise Network Infrastructure - D-A-CH

  • D-A-CH
  • Revenue in the Enterprise Network Infrastructure market is projected to reach US$3.97bn in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 9.89%, resulting in a market volume of US$5.79bn by 2028.
  • The average Spend per Employee in the Enterprise Network Infrastructure market is projected to reach US$75.08 in 2024.
  • In global comparison, most revenue will be generated in the United States (US$13,060m in 2024).

Key regions: United States, Japan, China, Italy, Indonesia

 
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Analyst Opinion

The Enterprise Network Infrastructure market in D-A-CH has been experiencing steady growth in recent years.

Customer preferences:
Customers in the D-A-CH region have shown a strong preference for reliable and secure network infrastructure solutions. With the increasing reliance on digital technologies for business operations, companies in D-A-CH are prioritizing network infrastructure that can support their growing data needs and ensure uninterrupted connectivity. Additionally, customers in this region value scalability and flexibility in their network infrastructure solutions, as they need to adapt to changing business requirements and accommodate future growth.

Trends in the market:
One of the key trends in the Enterprise Network Infrastructure market in D-A-CH is the adoption of cloud-based solutions. Companies are increasingly moving their data and applications to the cloud, which requires robust network infrastructure to support the seamless flow of data between the cloud and their on-premises systems. This trend is driven by the need for greater agility, scalability, and cost efficiency. Another trend in the market is the growing demand for software-defined networking (SDN) solutions. SDN allows for centralized control and management of network infrastructure, enabling companies to automate and streamline their network operations. This trend is driven by the need for greater network agility, improved security, and simplified management.

Local special circumstances:
The D-A-CH region, consisting of Germany, Austria, and Switzerland, has a strong industrial base and is home to many large manufacturing companies. These companies have specific network infrastructure requirements, such as high availability and low latency, to support their production processes. As a result, there is a high demand for robust and reliable network infrastructure solutions in the region.

Underlying macroeconomic factors:
The strong economy in the D-A-CH region has contributed to the growth of the Enterprise Network Infrastructure market. Germany, Austria, and Switzerland are known for their stable economies and high levels of innovation. Companies in these countries are investing in digital transformation initiatives, which require modern and efficient network infrastructure. Additionally, the region's focus on research and development drives the adoption of cutting-edge network technologies. In conclusion, the Enterprise Network Infrastructure market in D-A-CH is witnessing growth due to customer preferences for reliable and secure solutions, as well as the adoption of cloud-based and software-defined networking solutions. The region's strong industrial base and stable economies also contribute to the market's development.

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.

Overview

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