Software Defined Networking (SDN) Solutions, Market Opportunities and Forecast 2014 - 2019
Software Defined Networking (SDN) is a technology and architectural approach that is continuing to form and mature. The development of SDN has largely spawned from the need to separate Control and Data planes as a means of optimizing networks via software control and reduced dependency on specific hardware configurations and vendors.
A major goal of SDN is to both simplify and consolidate network functions, replacing specialized hardware with commodity switches, servers, etc. It enables vertical integration with application control over the network through SDN APIs. SDN solutions currently depend on the use of the OpenFlow protocol, which structures communication between the Control and Data planes of supported network devices via Southbound APIs and related protocols and communications.
This research evaluates the business drivers for SDN, its relationship to virtualization, specific market opportunities, leading vendors and solutions, issues involved in implementing SDN, and the market outlook and forecast for SDN for switching, controllers, and the software operation market. The report includes analysis of important topics such as Northbound APIs and their role in development of software defined services by third parties. This report is a must read for anyone involved in architecture strategy, application development, network planning, operations, and anyone with a vested interest in the future of service delivery, virtualization, and cloud-based market opportunities.
Purchasers of this report at the Team License or greater level will receive at no additional cost the following complementary report:
Network Infrastructure Virtualization: Transforming Telecommunications and Managed Services
Companies in Report:
- Network operators
- SDN solution providers
- Cloud-based service providers
- Virtualization solution providers
- Network infrastructure providers
- OSS/BSS and optimization companies
- Application developers and API companies
- Managed communications services companies
- Amazon Web Services
- Arista Networks
- Big Switch Networks
- Pluribus Networks
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.