Worldwide cloud service providers’ cloud data center strategies will affect the development of cloud equipment and hosting companies. For AWS (Amazon Web Services), Microsoft Azure, and GCP (Google Cloud Platform), cloud data centers are not only hardware equipment but also systems comprised of different kinds of network connections and data communications solutions. In the meantime, edge computing has been gradually introduced to innovative services associated with cloud data centers, leading to the emergence of solutions centered on the distributed cloud.
This report provides the development of three big cloud service providers - AWS, Microsoft, and Google, and includes their cloud data center plans at region level across the world; looks at their cloud data center policies and examines four topics observed in the cloud computing industry.
List of Topics
- Development of three major cloud service providers: Amazon, Microsoft, and Google, touching on the importance of their data center plans for AWS, Microsoft Azure, and GCP (Google Cloud Platform)
- Cloud data center strategies adopted by AWS, Microsoft, and GCP from three perspectives: global expansion, innovative services, and emerging policies, and includes the comparison between them
- Major topics of three leading cloud service providers
Table of Contents
1. Development of Three Major Cloud Service Providers
1.1 Importance of Data Center Strategies
1.2 Data Center Plans and Goals
1.2.1 AWS
1.2.2 Microsoft Azure
1.2.3 Google
2. Cloud Data Center Strategies of AWS, Microsoft Azure, and GCP
2.1 AWS
2.1.1 Global Expansion
2.1.2 Innovative Services
2.1.3 Emerging Policies
2.2 Microsoft Azure
2.2.1 Global Expansion
2.2.2 Azure’s Innovative Services
2.2.3 Emerging Policies
2.3 GCP
2.3.1 Global Expansion
2.3.2 Innovative Services
2.3.3 Emerging Policies
3. Comparison of Data Center Strategies of AWS, Microsoft, and Google
3.1 Comparison of Data Center Deployment
3.2 Comparison of Emerging Policies
4. Major Topics of Cloud Service Providers & Data Center Strategies
4.1 Topic 1: Data Locality and Territoriality Principle of Data Processing
4.2 Topic 2: Equipment and System Requirements for New Cloud Data Centers
4.3 Topic 3: Application of New Energy and Resources in Data Centers
4.4 Topic 4: Evolution towards Distributed Cloud and Horizontal and Micro Structure
5. Analyst Perspective
Appendix
List of Companies
List of Tables
Table 1 Attributes and Definition of Cloud Data Center Services
Table 2 Major Developments of AWS in 2020
Table 3 Major Developments of Microsoft Azure in 2020
Table 4 Major Developments of GCP in 2020
Table 5 Comparison of Data Center Deployment by AWS, Microsoft, and Google
List of Figures
Figure 1 Position of Cloud Data Centers in the Network
Figure 2 Geographic and Regional Connections of Cloud Data Centers
Figure 3. Comparison of Cloud Service Providers’ New Regional Data Center Plans
Samples
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Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- AWS
- Intesa Sanpaolo
- Microsoft
- TIM
Methodology
Primary research with a holistic, cross-domain approach
The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.
Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:
Method
- Component supplier interviews
- System supplier interviews
- User interviews
- Channel interviews
- IPO interviews
- Focus groups
- Consumer surveys
- Production databases
- Financial data
- Custom databases
Methodology
- Technology forecasting and assessment
- Product assessment and selection
- Product life cycles
- Added value analysis
- Market trends
- Scenario analysis
- Competitor analysis
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