Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. We have a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. 

Global Hyperscale Cloud Market to reach USD 2239.64 billion by the end of 2030.

Global Hyperscale Cloud Market Size Study & Forecast, by Enterprise Type (Small & Medium Enterprises, Large Enterprises), By Application (IoT Applications, Cloud Computing, Big Data Analytics, Others), By Industry (Manufacturing, Energy & Utilities, BFSI, Healthcare, E-Commerce & Retail, IT & Telecom, Automotive, Others), and Regional Analysis, 2023-2030

Product Code: ICTBC-84331661
Publish Date: 30-10-2023
Page: 200

Global Hyperscale Cloud Market is valued at approximately USD 172.26 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 37.8% over the forecast period 2023-2030. Hyperscale cloud refers to a specific type of cloud computing architecture that is built to offer immense scalability, high performance, and flexibility to handle extremely high workloads and data volumes. The term is associated with significant public cloud service providers, such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and others. The increasing penetration of mobile and IoT devices, rising usage of cloud computing by various businesses, increasing availability of high-speed internet, and growing focus on disaster recovery and business continuity are the key factors bolstering the market demand across the globe.

Additionally, the growing adoption of 5G and escalating edge computing is providing various growth prospects for market expansion during the estimated period. 5G networks offer significantly faster data speeds and lower latency compared to previous generations. This enables the development of more advanced mobile applications and Internet of Things (IoT) solutions by combining with hyperscale cloud resources. Network operators currently are eager to capitalize on their 5G investment with software-defined infrastructure. According to the 5G Americas- an industry trade organization reported that approximately 1.9 billion of 5G connections were recorded, which is projected to rise and is likely to reach 5.9 billion 5G connections by 2027. With the hyperscale ecosystem facing increasing difficulties with issues related to memory, storage, bandwidth, computing power, and speed, 5G technologies are pushing more intelligence to the edge and presenting operators with previous options. 5G networks provide lower latency and higher data transfers, facilitating smoother real-time applications including online gaming, video gaming, and augmented reality/virtual reality. Thus, these aforementioned factors are propelling the growth of the Hyperscale Cloud Market. Moreover, the rise of artificial intelligence (AI) and machine learning (ML), as well as growing investment in technological advancements by the key market players present various lucrative opportunities over the forecast years. However, the increasing concerns regarding security breaches, along with the high cost of building and maintaining hyperscale cloud facilities are hampering the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Hyperscale Cloud Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the rising popularity of AI and ML among various businesses in a variety of industries, as well as the rising focus on processing large volumes of digital data. Additionally, the presence of significant hyperscalers such as AWS, Microsoft, Google, and others is further attributing to the regional market growth. The AAG (an IT technology company) estimated in July 2023 that Google, Microsoft, and Amazon are likely to dominate 66% of the cloud industry. Also, the report noted that in the United States, cloud computing in healthcare is predicted to increase by 40% between 2020 and 2025, Whereas, Asia Pacific is expected as the fastest growing region over the forecast years. The rising adoption of SaaS solutions, growing urbanization, coupled with the increasing utilization of digital technologies are the leading factors that are contributing towards the market demand across the region. Major regional companies are also concentrating on enhancing and growing their cloud infrastructure in order to build strong networks. For instance, in August 2022, Google intended to establish three additional cloud regions in Thailand, Malaysia, and Zealand to satisfy the rising demand for cloud services.

Major market players included in this report are:
Alibaba Group (China)
Google LLC (Alphabet, Inc.) (U.S.)
Amazon Web Services, Inc. (U.S.)
Hewlett-Packard Enterprise Development LP (U.S.)
Fujitsu Limited (Japan)
IBM Corporation (U.S.)
Microsoft Corporation (U.S.)
Oracle Corporation (U.S.)
Salesforce, Inc. (U.S.)
VMware, Inc. (U.S.)

Recent Developments in the Market:
Ø In June 2023, Informatica partnered with major hyperscalers including Microsoft, Amazon Web Services (AWS), and Google Cloud to broaden its offering in Australia and New Zealand. The partnership facilitated Informatica’s network expansion and local market growth.
Ø In March 2023, Amazon Web Services, Inc. and NVIDIA collaborated to create artificial intelligence (AI) infrastructure for generating generative AI software and machine learning (ML) models. The development comprises novel supercomputing hyperscale clusters named EC2 UltraClusters.
Ø In February 2023. MongoDB launched a hyperscale cloud region in New Zealand. The company made use of its hyperscale capabilities by collaborating with significant hyperscalers including AWS, Microsoft Azure, and Google Cloud Platform.

Global Hyperscale Cloud 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 – Enterprise Type, Application, Industry, 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 Enterprise Type:
Small & Medium Enterprises
Large Enterprises

By Application:
IoT Applications
Cloud Computing
Big Data Analytics

By Industry:
Energy & Utilities
E-Commerce & Retail
IT & Telecom

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. Hyperscale Cloud Market, by region, 2020-2030 (USD Billion)
1.2.2. Hyperscale Cloud Market, by Enterprise Type, 2020-2030 (USD Billion)
1.2.3. Hyperscale Cloud Market, by Application, 2020-2030 (USD Billion)
1.2.4. Hyperscale Cloud Market, by Industry, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Hyperscale Cloud 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 Hyperscale Cloud Market Dynamics
3.1. Hyperscale Cloud Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising usage of cloud computing by various businesses Increase in the adoption of 5G and escalating edge computing
3.1.2. Market Challenges Increasing concerns regarding security breaches High cost of building and maintaining hyperscale cloud facilities
3.1.3. Market Opportunities Rise of artificial intelligence (AI) and machine learning (ML) Growing investment in the technological advancements by the key market players
Chapter 4. Global Hyperscale Cloud 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. Economic
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 Hyperscale Cloud Market, by Enterprise Type
5.1. Market Snapshot
5.2. Global Hyperscale Cloud Market by Enterprise Type, Performance – Potential Analysis
5.3. Global Hyperscale Cloud Market Estimates & Forecasts by Enterprise Type 2020-2030 (USD Billion)
5.4. Hyperscale Cloud Market, Sub Segment Analysis
5.4.1. Small & Medium Enterprises
5.4.2. Large Enterprises
Chapter 6. Global Hyperscale Cloud Market, by Application
6.1. Market Snapshot
6.2. Global Hyperscale Cloud Market by Application, Performance – Potential Analysis
6.3. Global Hyperscale Cloud Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
6.4. Hyperscale Cloud Market, Sub Segment Analysis
6.4.1. IoT Applications
6.4.2. Cloud Computing
6.4.3. Big Data Analytics
6.4.4. Others
Chapter 7. Global Hyperscale Cloud Market, by Industry
7.1. Market Snapshot
7.2. Global Hyperscale Cloud Market by Industry, Performance – Potential Analysis
7.3. Global Hyperscale Cloud Market Estimates & Forecasts by Industry 2020-2030 (USD Billion)
7.4. Hyperscale Cloud Market, Sub Segment Analysis
7.4.1. Manufacturing
7.4.2. Energy & Utilities
7.4.3. BFSI
7.4.4. Healthcare
7.4.5. E-Commerce & Retail
7.4.6. IT & Telecom
7.4.7. Automotive
7.4.8. Others
Chapter 8. Global Hyperscale Cloud Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Hyperscale Cloud Market, Regional Market Snapshot
8.4. North America Hyperscale Cloud Market
8.4.1. U.S. Hyperscale Cloud Market Enterprise Type breakdown estimates & forecasts, 2020-2030 Application breakdown estimates & forecasts, 2020-2030 Industry breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Hyperscale Cloud Market
8.5. Europe Hyperscale Cloud Market Snapshot
8.5.1. U.K. Hyperscale Cloud Market
8.5.2. Germany Hyperscale Cloud Market
8.5.3. France Hyperscale Cloud Market
8.5.4. Spain Hyperscale Cloud Market
8.5.5. Italy Hyperscale Cloud Market
8.5.6. Rest of Europe Hyperscale Cloud Market
8.6. Asia-Pacific Hyperscale Cloud Market Snapshot
8.6.1. China Hyperscale Cloud Market
8.6.2. India Hyperscale Cloud Market
8.6.3. Japan Hyperscale Cloud Market
8.6.4. Australia Hyperscale Cloud Market
8.6.5. South Korea Hyperscale Cloud Market
8.6.6. Rest of Asia Pacific Hyperscale Cloud Market
8.7. Latin America Hyperscale Cloud Market Snapshot
8.7.1. Brazil Hyperscale Cloud Market
8.7.2. Mexico Hyperscale Cloud Market
8.8. Middle East & Africa Hyperscale Cloud Market
8.8.1. Saudi Arabia Hyperscale Cloud Market
8.8.2. South Africa Hyperscale Cloud Market
8.8.3. Rest of Middle East & Africa Hyperscale Cloud Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Alibaba Group (China) Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Google LLC (Alphabet, Inc.) (U.S.)
9.3.3. Amazon Web Services, Inc. (U.S.)
9.3.4. Hewlett-Packard Enterprise Development LP (U.S.)
9.3.5. Fujitsu Limited (Japan)
9.3.6. IBM Corporation (U.S.)
9.3.7. Microsoft Corporation (U.S.)
9.3.8. Oracle Corporation (U.S.)
9.3.9. Salesforce, Inc. (U.S.)
9.3.10. VMware, Inc. (U.S.)
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. 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.

Need Assistance

Contact Person -
Krishant Mennon
Call us @
+ 91 99931 15879
Email: sales@bizwitresearch.com


Why Choose Us?

Quality over Quantity

Backed by 60+ paid data sources our reports deliver crisp insights with no compromise quality.

Analyst Support

24x7 Chat Support plus
free analyst hours with every purchase

Flawless Methodology

Our 360-degree approach of market study, our research methods leave stones unturned.
Enquiry Now