Market Insights Technology Data Center Network Infrastructure

Enterprise Network Infrastructure - Hungary

Hungary

Revenue in the Enterprise Network Infrastructure market is projected to reach €92.88m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 9.47%, resulting in a market volume of €133.40m by 2028.
The average Spend per Employee in the Enterprise Network Infrastructure market is projected to reach €20.18 in 2024.
In global comparison, most revenue will be generated in the United States (€12,110m in 2024).

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

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Analyst Opinion

The Enterprise Network Infrastructure market in Hungary is experiencing significant growth and development.

Customer preferences: Hungarian businesses are increasingly prioritizing the adoption of advanced network infrastructure solutions to support their digital transformation efforts. This is driven by the need for faster and more reliable connectivity, as well as the growing demand for cloud-based services and applications. Businesses in Hungary are also recognizing the importance of network security and are investing in robust infrastructure to protect their data and systems.

Trends in the market: One of the key trends in the Enterprise Network Infrastructure market in Hungary is the adoption of software-defined networking (SDN) solutions. SDN allows businesses to centrally manage and control their network infrastructure, providing greater flexibility, scalability, and automation. This trend is driven by the need for agility and efficiency in network management, as well as the increasing complexity of modern networks. Another trend in the market is the growing demand for high-speed connectivity. With the increasing use of bandwidth-intensive applications and services, businesses in Hungary are seeking faster and more reliable network solutions. This includes the deployment of fiber-optic networks and the adoption of technologies such as 5G, which offer significantly higher speeds and lower latency.

Local special circumstances: Hungary's strategic location in Central Europe makes it an attractive market for international businesses looking to expand their operations in the region. This has led to increased investment in the country's network infrastructure, as businesses seek to establish reliable connectivity and communication channels. Additionally, Hungary's strong focus on innovation and technology has created a favorable environment for the growth of the Enterprise Network Infrastructure market.

Underlying macroeconomic factors: The growth of the Enterprise Network Infrastructure market in Hungary is also influenced by several macroeconomic factors. The country's stable economic growth, favorable business environment, and government initiatives to promote digitalization and innovation are driving the demand for advanced network infrastructure solutions. Furthermore, the increasing digitalization of various sectors, such as finance, healthcare, and manufacturing, is creating a need for robust and scalable network infrastructure to support the digital transformation efforts of businesses in Hungary. In conclusion, the Enterprise Network Infrastructure market in Hungary is witnessing significant growth and development, driven by customer preferences for advanced network solutions, trends such as the adoption of SDN and high-speed connectivity, local special circumstances including Hungary's strategic location and focus on innovation, and underlying macroeconomic factors such as stable economic growth and government initiatives.

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.