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Global Mega Data Center Market to reach USD 34.1 billion by the end of 2030

Global Mega Data Center Market Size study & Forecast, by Solutions (Server, Storage, Networking), by Support (Power, Cooling, Security), by Services (Professional, Monitoring, SI), by Users (Cloud, Colocation, Enterprises) and Regional Analysis, 2023-2030

Product Code: ICTICTI-53754769
Publish Date: 20-07-2023
Page: 200

Global Mega Data Center Market is valued at approximately USD 23.6 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 4.7 % over the forecast period 2023-2030. A Mega Data Center is a purpose-built facility designed to accommodate computer systems that can effectively handle large-scale data transfers, high computational capabilities, storage capacity, and bandwidth. The mega data center market is expanding because of factors such as increase in demand for data storage facilities and rising adoption of cloud computing.

According to the Statista in 2021, the worldwide expenditure on information technology (IT) devices, encompassing PCs, tablets, mobile phones, along with data center systems, enterprise software, and communications services, amounted to approximately USD 4.26 trillion. It is projected that global IT spending may rise to approximately USD 4.66 trillion by 2023. Cloud computing has had a profound influence on data centers, as it has facilitated the emergence of mega-scale data centers by commoditizing computing, storage, and network resources. According to Statista in 2023, the global market for cloud applications was valued at USD 133.6 billion in 2021 and is projected to reach USD 168.6 billion by 2025. The cloud applications software market is expected to exhibit a compound annual growth rate of 4.8% during the forecast period. In addition, increasing demand of cloud-based services and rising technological advancements in the mega data center would create lucrative growth opportunities. However, the high initial investment cost for implementing mega data centers and the low availability of resources stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Mega Data Center Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market during the forecast period owing to the increasing number of e-commerce platforms and extensive deployment of large-scale data centers. Asia Pacific is the fastest growing region during the forecast period, owing to rise in internet penetration and the increasing adoption of cloud services in the region.

Major market player included in this report are:
Juniper Networks, Inc.
Vertiv Group Corp.
International Business Machines Corporation
Schneider Electric, Pvt. Ltd.
NetApp, Inc.
Hewlett Packard Enterprise Development LP,
Cisco Systems Inc.
Dell Computer Corporation,
Fujitsu Ltd
Intel Corporation

Recent Developments in the Market:
Ø In November 2022, BDx Indonesia, in collaboration with PT Indosat Tbk and PT Aplikanusa Lintasarta, announced their joint venture to establish a cutting-edge data center campus that covered 12 acres of land. The land acquisition was made from PT Suryacipta Swadaya, which is part of the Suryainternusa Group. The newly developed campus featured an impressive capacity of 100MW.

Ø In May 2022, NTT Ltd. has declared the establishment of a fresh hyperscale data center site in Mumbai, India. With this addition, NTT now operates a total of 12 data center locations throughout the country, encompassing over 2.5 million square feet of space and providing a substantial facility power of 220 MW. This development further reinforces NTT’s dominant position as the leading player in the Indian data center industry.

Global Mega Data Center Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Solutions, Support, Services, Users, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Solutions:

By Support:

By Services:

By Users:

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Mega Data Center Market, by Region, 2020-2030 (USD Billion)
1.2.2. Mega Data Center Market, by Solutions, 2020-2030 (USD Billion)
1.2.3. Mega Data Center Market, by Support, 2020-2030 (USD Billion)
1.2.4. Mega Data Center Market, by Services, 2020-2030 (USD Billion)
1.2.5. Mega Data Center Market, by Users, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Mega Data Center Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Mega Data Center Market Dynamics Increase demand for data storage facilities Rising adoption of cloud computing
3.1.2. Market Challenges High initial investment cost Low availability of resources
3.1.3. Market Opportunities Increasing demand of cloud-based services Rising technological advancements in mega data center
Chapter 4. Global Mega Data Center Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Mega Data Center Market, by Solutions
5.1. Market Snapshot
5.2. Global Mega Data Center Market by Solutions, Performance – Potential Analysis
5.3. Global Mega Data Center Market Estimates & Forecasts by Solutions 2020-2030 (USD Billion)
5.4. Mega Data Center Market, Sub Segment Analysis
5.4.1. Server
5.4.2. Storage
5.4.3. Networking
Chapter 6. Global Mega Data Center Market, by Support
6.1. Market Snapshot
6.2. Global Mega Data Center Market by Support, Performance – Potential Analysis
6.3. Global Mega Data Center Market Estimates & Forecasts by Support 2020-2030 (USD Billion)
6.4. Mega Data Center Market, Sub Segment Analysis
6.4.1. Power
6.4.2. Cooling
6.4.3. Security
Chapter 7. Global Mega Data Center Market, by Services
7.1. Market Snapshot
7.2. Global Mega Data Center Market by Services, Performance – Potential Analysis
7.3. Global Mega Data Center Market Estimates & Forecasts by Services 2020-2030 (USD Billion)
7.4. Mega Data Center Market, Sub Segment Analysis
7.4.1. Professional
7.4.2. Monitoring
7.4.3. SI
Chapter 8. Global Mega Data Center Market, by Users
8.1. Market Snapshot
8.2. Global Mega Data Center Market by Users, Performance – Potential Analysis
8.3. Global Mega Data Center Market Estimates & Forecasts by Users 2020-2030 (USD Billion)
8.4. Mega Data Center Market, Sub Segment Analysis
8.4.1. Cloud
8.4.2. Colocation
8.4.3. Enterprises
Chapter 9. Global Mega Data Center Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Mega Data Center Market, Regional Market Snapshot
9.4. North America Mega Data Center Market
9.4.1. U.S. Mega Data Center Market Solutions breakdown estimates & forecasts, 2020-2030 Support breakdown estimates & forecasts, 2020-2030 Services breakdown estimates & forecasts, 2020-2030 Users breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Mega Data Center Market
9.5. Europe Mega Data Center Market Snapshot
9.5.1. U.K. Mega Data Center Market
9.5.2. Germany Mega Data Center Market
9.5.3. France Mega Data Center Market
9.5.4. Spain Mega Data Center Market
9.5.5. Italy Mega Data Center Market
9.5.6. Rest of Europe Mega Data Center Market
9.6. Asia-Pacific Mega Data Center Market Snapshot
9.6.1. China Mega Data Center Market
9.6.2. India Mega Data Center Market
9.6.3. Japan Mega Data Center Market
9.6.4. Australia Mega Data Center Market
9.6.5. South Korea Mega Data Center Market
9.6.6. Rest of Asia Pacific Mega Data Center Market
9.7. Latin America Mega Data Center Market Snapshot
9.7.1. Brazil Mega Data Center Market
9.7.2. Mexico Mega Data Center Market
9.8. Middle East & Africa Mega Data Center Market
9.8.1. Saudi Arabia Mega Data Center Market
9.8.2. South Africa Mega Data Center Market
9.8.3. Rest of Middle East & Africa Mega Data Center Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Juniper Networks, Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.3.2. Vertiv Group Corp.
10.3.3. International Business Machines Corporation
10.3.4. Schneider Electric, Pvt. Ltd.
10.3.5. NetApp, Inc.
10.3.6. Hewlett Packard Enterprise Development LP,
10.3.7. Cisco Systems Inc.
10.3.8. Dell Computer Corporation
10.3.9. Fujitsu Ltd
10.3.10. Intel Corporation
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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