Storage - Switzerland

Switzerland

Revenue in the Storage market is projected to reach US$0.49bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 6.77%, resulting in a market volume of US$0.68bn by 2029.
The average Spend per Employee in the Storage market is projected to reach US$96.60 in 2024.
In global comparison, most revenue will be generated in the United States (US$23,930m in 2024).

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

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Analyst Opinion

The Swiss Data Center Storage Market has seen a slight decline in growth, influenced by factors such as limited data center space and high costs. Despite this, the market is still driven by the growing demand for digital storage solutions and increasing reliance on data-driven technologies.

Customer preferences: The growing focus on data privacy and security has led to an increase in demand for storage solutions within the Data Center Market in Switzerland. With the rise of remote work and virtual events, individuals and businesses are relying on secure and reliable data storage options. Additionally, the shift towards cloud-based storage solutions is driven by the need for easier access to data and a more efficient way of managing large amounts of data.

Trends in the market: In Switzerland, the Storage Market within the Data Center Market is experiencing a shift towards cloud-based solutions, as companies seek to reduce costs and increase flexibility. Additionally, there is a growing trend of using artificial intelligence and machine learning in data storage and management, leading to improved efficiency and data security. This trend is significant as it allows for better scalability and accessibility of data, but also raises concerns around data privacy and potential job displacement. For industry stakeholders, staying ahead of these technological advancements is crucial for remaining competitive and meeting customer demands.

Local special circumstances: In Switzerland, the Storage Market within the Data Center Market is heavily influenced by the country's strict data privacy laws and regulations. This has resulted in a high demand for secure storage solutions, especially in the financial and healthcare sectors. Additionally, Switzerland's mountainous terrain and stable climate make it an ideal location for data center facilities, attracting investment from international companies. The country's strong reputation for data security and stability also plays a significant role in the growth of the storage market.

Underlying macroeconomic factors: The Storage Market within the Data Center Market in Switzerland is influenced by several macroeconomic factors. These include the country's stable and strong national economy, favorable business regulations, and high investments in technological advancements. Additionally, Switzerland's strategic location and political stability make it an ideal hub for data center operations, leading to increased demand for storage solutions. Furthermore, the country's focus on sustainability and energy efficiency in data center operations is driving the adoption of innovative storage technologies. These factors, combined with the growing digitalization of businesses and increasing data generation, are expected to drive the growth of the Storage Market within the Data Center Market in Switzerland.

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.