Servers - ASEAN

  • ASEAN
  • Revenue in the Servers market is projected to reach US$2.38bn in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 9.28%, resulting in a market volume of US$3.71bn by 2029.
  • The average Spend per Employee in the Servers market is projected to reach US$6.87 in 2024.
  • In global comparison, most revenue will be generated in the United States (US$47,260m in 2024).

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

 
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Analyst Opinion

The Servers Market in ASEAN nan is witnessing slow growth due to factors such as limited IT infrastructure, lack of skilled workforce, and high costs of data center operations. However, growing demand for cloud computing and data analytics is expected to drive market growth in the coming years.

Customer preferences:
The growing demand for cloud-based solutions in the ASEAN region is driving the adoption of servers in data centers. This is due to the increasing use of digital tools and platforms in various industries, such as e-commerce, finance, and healthcare. Additionally, the rise of remote work and virtual events has further accelerated the need for robust server infrastructure to support seamless online interactions and collaborations. As a result, there has been a shift towards more advanced and efficient servers, with a focus on scalability, reliability, and security.

Trends in the market:
In ASEAN, the Servers Market within the Data Center Market is experiencing a shift towards hyperconverged infrastructure, where computing, storage, and networking are integrated into a single system. This trend is driven by the need for greater agility, scalability, and cost-efficiency in data center operations. Additionally, there is a growing demand for edge computing solutions, as more companies require real-time data processing and analysis. These trends have significant implications for data center providers, as they need to adapt their offerings to meet the changing needs of their customers. Industry stakeholders must also keep up with these developments to remain competitive in the market.

Local special circumstances:
In ASEAN, the Servers Market within the Data Center Market is influenced by the region's diverse cultural and regulatory landscape. For example, countries like Singapore and Malaysia have well-established data center infrastructure, while emerging markets like Vietnam and Indonesia are rapidly expanding due to increased internet penetration. Additionally, strict data privacy laws in countries like Thailand and the Philippines may impact the adoption of cloud-based services. These factors contribute to a dynamic and evolving market for servers and data centers in ASEAN.

Underlying macroeconomic factors:
The Servers Market within the Data Center Market in ASEAN is influenced by macroeconomic factors such as technological advancements, government investments in digital infrastructure, and the overall economic health of the region. Countries with strong digital infrastructure and government support for technology adoption are experiencing higher growth in the market compared to those with limited resources and regulatory challenges. Moreover, the rising demand for data storage and management solutions due to the increasing volume of digital data and the growing adoption of cloud computing is also driving the market growth in ASEAN.

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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