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Virtualized Datacenter: Hardware and Software Markets: 2014 - 2019

Virtualized Datacenter: Hardware and Software Markets: 2014 - 2019

Datacenter virtualization represents a flexible, elastic and cost effective alternative physical datacenter operations. Datacenter virtualization is achieved through two methods. The first is virtualization of computing infrastructure, storage networks, and associated security and management components. Server virtualization, followed by storage, and then network are the precursors leading virtualization on a broader scale. Another aspect of virtual datacenters is through a layer of software above virtualized hardware termed as software defined datacenter.

This Mind Commerce research evaluates the market for datacenter virtualization with an emphasis on hardware and software components. This report assesses the market opportunities for vendors, solution providers, and cloud service providers including IaaS, PaaS, and SaaS. The report includes forecasts for all key areas: overall virtualization market, integrated virtualized datacenters, and virtualized components including hardware, software, and software control.

All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Report Benefits:

  • Identify the drivers for H/W and S/W virtualization
  • Key market predictions for datacenter virtualization
  • Identify leading solutions for datacenter virtualization
  • Understand the steps involved in datacenter virtualization
  • Understand the impact of datacenter virtualization on enterprise
  • Identify leading companies and emerging players in virtualization
Target Audience:
  • Network operators
  • Datacenter operators
  • Infrastructure providers
  • Managed service providers
  • Cloud and virtualization companies
  • Associations and technology groups
  • Corporate and institutional investors
Companies in Report:
  • AMD
  • Amazon
  • Avaya
  • BMC Software Inc.
  • Calient Technologies
  • Cisco System Inc.
  • Citrix Systems Inc.
  • Dell Inc.
  • EMC Corporation
  • Google
  • HP
  • IBM
  • Intel
  • Microsoft Corporation
  • NEC Corp
  • NetApp
  • Nicira
  • Nimbox
  • OpenStack
  • Oracle Inc.
  • Palo Alto Corp.
  • Piston Cloud Computing Inc.
  • Rackspace
  • RedHat
  • SAP SE
  • VMware


General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.


1.0 Executive Summary
1.1 Global Markets For Virtual Datacenter
1.2 Key Predictions For Virtual Datacenter Market
2.0 Introduction
2.1 Definition: Virtual Datacenter
2.1.1 Types Of Virtual Datacenter
2.1.1.1 Hardware Virtualized Datacenter
2.1.1.2 Software Defined Datacenter (Sdcc)
2.1.1 Key Benefits Of Virtualized Datacenter
2.1.1.1 Enhanced Use Of Available Infrastructure With Increased Operational Efficiency
2.1.1.2 Better Architecture And Improved Performance
2.1.1.3 Reduction In Overall Costs
2.1.1.4 Easier Backup And Redeployment
2.1.1.5 Environment Friendly
2.2 Applications Of Virtualized Datacenter
2.2.1 Foundation For Iaas And Paas
2.2.2 Cloud Ready Infrastructure For Telecom Companies
2.2.3 Virtual Datacenters For Enterprise
2.3 Drivers For Virtual Data Center
2.3.1 It Teams Are Forced To Optimize It Infrastructure In Reduced Budget
2.3.2 Virtual Infrastructure Computing Reaches High Enterprise Adoption
2.3.3 Cloud Computing Enables Resource Sharing Within Enterprise
2.3.4 Infrastructure As A Service (Iaas) An Option To Physical Infrastructure
2.4 Market Barriers For Virtual Datacenter
2.4.1 Virtual Datacenter Not Yet Ready To Perform At Fullest
3.0 Virtual Datacenter Technology
3.1 Key Elements Of Traditional Datacenter
3.1.1 Server
3.1.2 Storage
3.1.2.1 Storage System Technologies
3.1.3 Network
3.2 Virtualization
3.2.1 Virtualization Software
3.2.2 Virtualized Hardware
3.2.2.1 Server Virtualization
3.2.2.2 Storage Virtualization
3.2.2.2.1 Block Level Virtualization
3.2.2.2.2 File Level Virtualization
3.2.2.3 Network Virtualization
3.3 Steps To Build Virtualized Datacenter
3.3.1.1 Assessment
3.3.1.2 Design Architecture
3.3.1.3 Implementation
3.3.1.4 Management
3.4 Hardware Virtualized Datacenter
3.5 Software Defined Datacenter (Sdcc)
3.5.1 Sdcc Architecture And Key Components
3.5.1.1 Software Defined Computing
3.5.1.2 Software Defined Networking (Sdn)
3.5.1.3 Software Defined Storage
3.5.1.4 Datacenter Management And Automation Software
3.6 Sdcc Features
3.6.1 Reduction In Capital And Operational Costs
3.6.2 Increased Business Agility And Control
3.6.3 Flexibility To Leverage Datacenter Into Cloud Infrastructure
4.0 Companies And Solutions
4.1 Vendor Landscape: Virtual Datacenter
4.2 Key Hardware Virtualized Datacenter Vendors
4.2.1 Cisco Systems Inc.
4.2.1.1 Cisco Unified Datacenter
4.2.1.1.1 Cisco Virtualized Multiservice Datacenter Framework
4.2.1.1.2 Cisco Udc Strategy
4.2.1 Dell, Inc.
4.2.1.1 Dell Converged Blade Datacenter
4.2.1.1.1 Dell Strategy With Converged Blade Datacenter
4.2.2 Hp
4.2.2.1 Hp Converged System
4.2.1 Microsoft Corporation
4.2.1.1 Microsoft In Datacenter Virtualization
4.2.1.1.1 Windows Server 2012 R2
4.3 Key Datacenter Virtualization Software Vendors
4.3.1 Bmc Software Inc.
4.3.2 Citrix Systems, Inc.
4.3.3 Oracle Inc.
4.3.3.1 Oracle Virtual Datacenter
4.4 Key Software Defined Datacenter And Other Software Defined Component Vendors
4.4.1 Calient Technologies
4.4.1.1 Software Defined Packet Optical Datacenter Networks
4.4.1.2 Calient Optical Switch Strategy
4.4.2 Hp Moonshot System
4.4.2.1.1 Hp Strategies In Virtualized Datacenter
4.4.3 Ibm
4.4.3.1 Ibm Software Defined Environment
4.4.3.2 Ibm Strategy With Sde
4.4.4 Vmware Inc.
4.4.4.1 Vmware Software Defined Datacenter
4.4.4.2 Acquisition Of Nicira Strengthen Sdcc Portfolio Of Vmware
4.4.4.3 Vmware Sdcc Strategies 2014 And Beyond
4.4.4.4 Vmware Vsphere Enterprise Plus
4.5 Emerging Players In The Market
4.5.1 Nimboxx
4.5.2 Openstack
4.5.2.1 Avaya Software Defined Data Center Framework
4.5.2.2 Piston Openstack 3.0
5.0 Markets For Virtualized Datacenters
5.1 Global It Spending
5.2 Traditional Datacenter Market Size
5.3 Global Market For Virtualized Datacenter Components: H/W And S/W
5.3.1 Global Markets For Integrated Virtualized Datacenter
5.3.2 Global Market For Software Defined Components
5.4 Global Buyer Market For Virtual Datacenters
6.0 Summary And Conclusions
List of Figures
Figure 1: Global IT Spending
Figure 2: Global Traditional Datacenter Market Size
Figure 3: Global Markets for Virtualized Datacenter Components: H/W and S/W
Figure 4: Global Markets for Integrated Virtualized Datacenters
Figure 5: Global Markets for Software Defined Components
Figure 6: Global Buyer Market for Virtual Datacenter
List of Tables
Table 1: Types of Server Virtualization
Table 2: Hardware Virtualized Datacenter Vendors
Table 3: Datacenter Virtualization Software Vendors
Table 4: Software Defined Datacenter Vendors
Table 5: Global IT Spending
Table 6: Traditional Datacenter Market Center
Table 7: Global Markets for Virtual Datacenter Components: H/W and S/W
Table 8: Global Market for Integrated Virtualized Datacenter
Table 9: Global Markets for Software Defined Components
Table 10: Global Buyer Market for Virtual Datacenters
Summary Table 1: Global Markets for Virtual Datacenter H/W and S/W
Summary Table 2: Global Markets for Virtual Datacenter
Summary Table 3: Global Markets for Software Defined Components
Summary Table 4: Global Buyer Market for Virtual Datacenter

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