Infrastructure as a Service (IaaS): Market and Forecast for Secure Multitenancy Platforms and Services 2014 – 2019
Our research indicates 2013 marked the year that Cloud computing officially crossed the milestone of casual experimentation and is now shifting into the stage of serious business strategy for most large organizations and soon will be the same for many SMB as well. More than simply a buzzword, the shift to Cloud-based solutions is driven by many factors including the following:
Global business operations is the norm with multiple locations
An increasingly large data load and administrative burden on enterprise
Significant growth in data-hungry and processing intensive business functions
This report evaluates the Infrastructure as a Service (IaaS) market with an emphasis on IaaS multitenant platform and services. IaaS is a core service of cloud computing based on virtualization techniques. IaaS providers install servers, data centers at various physical locations and provide virtual infrastructure via secure IP-based connectivity. IaaS is a service based on behind the curtain technology of virtualization, multitenancy and cloud computing. In cloud computing, “multitenancy” architecture represents a shared infrastructure and/or resources topology along with the advantages of virtualization and remote access to new business models and services.
Forecasts for IaaS including multitenancy through 2019
Understand drivers for IaaS and vendor strategies for success
Learn which new sectors will be targeted of IaaS through 2019
Understand the ecosystem and competitive landscape for IaaS services
Learn about the strategic initiatives and strategies for current market leaders
Identify preferences and trends for Cloud delivery models for both IaaS suppliers and clients
Identify key issues including features, scalability, adoptability, interoperability, security and functionality
Telecom service providers
API management companies
SDN and virtualization vendors
Telecom managed service providers
Wireless/mobile infrastructure providers
Cloud infrastructure and service providers
SMB and enterprise companies of all types
Regulatory bodies and governmental organizations
Investors: venture capital, private equity and hedge funds
Companies in Report:
Computer Science Corporation
Google Cloud Enterprise
Microsoft Windows Azure
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.
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.