Market Insights Technology Data Center Network Infrastructure

Enterprise Network Infrastructure - United States

United States

Revenue in the Enterprise Network Infrastructure market is projected to reach €15.03bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 8.22%, resulting in a market volume of €22.31bn by 2029.
The average Spend per Employee in the Enterprise Network Infrastructure market is projected to reach €86.75 in 2024.
In global comparison, most revenue will be generated in China (€16,880m in 2024).

Key regions: China, Indonesia, United Kingdom, United States, India

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Analyst Opinion

The Enterprise Network Infrastructure market in the US is experiencing mild growth, influenced by factors such as increasing demand for digital solutions, growing awareness of network infrastructure benefits, and the convenience of online services. This trend is expected to continue as businesses prioritize digital transformation and invest in advanced network infrastructure for their data centers.

Customer preferences: With the rise of remote work and virtual collaboration, there has been a growing demand for cloud-based networking solutions in the enterprise sector. Companies are looking for reliable and scalable network infrastructure to support their remote workforce and ensure seamless communication and data transfer. This has led to a shift towards software-defined networking (SDN) and network function virtualization (NFV) technologies, allowing for greater flexibility and agility in managing network resources. Additionally, there is a growing focus on security and data privacy, with businesses prioritizing secure remote access and secure cloud connectivity in their network infrastructure solutions.

Trends in the market: In the Enterprise Network Infrastructure Market of the Network Infrastructure Market within the Data Center Market in the United States, there is a growing trend towards software-defined networking (SDN) and network function virtualization (NFV). This shift towards virtualization and automation is driven by the need for more agile and flexible networks to support the increasing demands of cloud computing, IoT, and big data. This trend is expected to continue, with SDN and NFV technologies becoming more mainstream and essential for efficient network management. Industry stakeholders must keep up with these developments to stay competitive and meet the evolving needs of their customers.

Local special circumstances: In the United States, the Enterprise Network Infrastructure Market within the Data Center Market is heavily influenced by the country's advanced technological landscape and high demand for data storage and management. The market is also shaped by strict data privacy regulations and the dominance of large corporations in the technology sector. Additionally, the country's strong economy and high adoption of cloud computing services contribute to the growth of network infrastructure in data centers.

Underlying macroeconomic factors: The Enterprise Network Infrastructure Market within the Data Center Market in the United States is influenced by various macroeconomic factors, including technological advancements, government policies, and investment in digital infrastructure. With a strong economy and favorable regulatory environment, the US market is expected to experience steady growth. Additionally, the rising adoption of cloud computing and the increasing demand for data storage and processing are driving the need for robust network infrastructure, further fueling market growth.

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.