Software Defined Networking (SDN) Solutions, Market Opportunities and Forecast 2014 - 2019

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

Target Audience:

  • 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
Companies in Report:
  • Alcatel-Lucent
  • Amazon Web Services
  • Arista Networks
  • AT&T
  • Avaya
  • Big Switch Networks
  • Brocade
  • Cariden
  • Ciena
  • Cisco
  • ConteXtream
  • Contrail
  • Cyan
  • Dell
  • eBay
  • Ericsson
  • Google
  • Hitachi
  • Huawei
  • IBM
  • Intel
  • Juniper
  • Midokura
  • Nicira
  • Oracle
  • Pica8
  • Plexxi
  • Pluribus Networks
  • Rackspace
  • vCider
  • Verizon
  • 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 Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Key Questions Answered
1.4 Target Audience
1.5 Companies in Report
2 Software-Defined Networks Technology
2.1 SDN Overview
2.2 SDN Benefits
2.3 SDN Models
2.4 SDN Tools and Techniques
2.4.1 OpenFlow
2.4.2 SDN Controller
2.4.3 Virtual Networking
2.4.4 Virtual Storage
2.4.5 Aggregation and Pooling Solutions
2.4.6 Data Center Consolidation and SDN
3 Network Virtualization
3.1 SDN versus Virtualization
3.2 Network and Server Virtualization
3.2.1 External Network Virtualization
3.2.2 Internal Network Virtualization
3.2.3 Hybrid Network Virtualization
3.2.4 Platform Virtualization
3.3 Network Function Virtualization
3.3.1 Infrastructure and Managed Services Consolidation
3.3.2 Network Virtualization Challenges
3.3.3 Evolved Packet Core (EPC) and IP Multimedia Subsystem (IMS)
3.4 Virtualization Architecture
3.4.1 Hosted Architecture
3.4.2 Bare-Metal Architecture
4 Software-Defined Everything
4.1 Software Defined Data Center
4.2 Software-Defined Storage
4.3 Software-Defined Telecom Networks
4.4 Software-Defined Machines: The Internet of Things
5 SDN Impact on Network Operators
5.1 SDN, Carriers, and Virtualization
5.2 The Business Drivers for Network Operators
5.3 Carrier SDN Challenges and Opportunities
5.4 SDN and Virtualized Carrier Architecture
5.5 Migration to SDN
5.5.1 APIs in Software Defined Networks
5.5.2 Southbound and Northbound APIs
6 Leading SDN Drivers and Opportunities
6.1 Application Policy
6.1.1 Cisco Application Policy Infrastructure Controller
6.1.2 Why Application Policy is Important
6.2 App Development and Northbound APIs
6.2.1 Application Use Cases
6.2.2 Open vs. Proprietary Northbound APIs
7 SDN Ecosystem and Value Chain
7.1 Ecosystem
7.1.1 Industry Groups ETSI OpenDaylight Open Networking Foundation
7.1.2 Network Operators
7.1.3 SDN Vendors
7.2 Value Chain
7.2.1 Data Plane
7.2.2 Controller Solutions
7.2.3 Management
7.2.4 Fabric
8 SDN Vendors and Solutions
8.1 Vendors
8.1.1 Alcatel-Lucent (Nuage Networks)
8.1.2 Arista Networks
8.1.3 Avaya
8.1.4 Big Switch Networks
8.1.5 Brocade/Vyatta
8.1.6 Ciena
8.1.7 Cisco
8.1.8 ConteXtream
8.1.9 Cyan
8.1.10 Dell
8.1.11 Ericsson
8.1.12 Hitachi
8.1.13 Huawei
8.1.14 HP
8.1.15 IBM
8.1.16 Intel
8.1.17 Juniper
8.1.18 Oracle
8.1.19 Plexxi
8.1.20 Pluribus
8.1.21 VMware
8.2 Comparative Analysis
9 Implementing SDN
9.1 Implementation Considerations
9.1.1 Architecture Issues
9.1.2 API Management
9.1.3 SDN Security
10 SDN Market Forecasts 2014-2019
10.1 Market Outlook
10.2 Global SDN Market Analysis
10.3 Global Market 2014 - 2019
10.4 SDN Market by Segment
10.4.1 SDN Switching
10.4.2 SDN Controllers
10.4.3 SDN Software Operation Market
10.4.4 Cloud Service Provider Segments
List of Figures
Figure 1: Virtual vs. Physical Network
Figure 2: Virtual Storage
Figure 3: Data Centers and Cloud Switching Fabric
Figure 4: Relationship between NFV and SDN
Figure 5: Network and Server Virtualization
Figure 6: Hosted Virtual Structure
Figure 7: Bare Metal Virtualization Structure
Figure 8: NFV Solution Sales Revenue: 2014 – 2019 ($ Million)
Figure 9: CloudNFV Open Framework
Figure 10: The Future of IoT and SDN APIs
Figure 11: LTE E-UTRAN Infrastructure Network Elements
Figure 12: Network Virtualization Archtiture
Figure 13: NFV and SDN
Figure 14: SDN APIs
Figure 15: NB and SB SDN APIs
Figure 16: SDN Drivers and Opportunities
Figure 17: Orchestration and Policy Coordination
Figure 18: Northbound API Functions
Figure 19: SDN Ecosystem
Figure 20: Cisco SDN Solution Arch
Figure 21: SDN Global Revenue 2014 - 2019
Figure 22: SDN Global Market 2014 - 2019
Figure 23: SDN Switching Revenue 2014 - 2019
Figure 24: SDN Switching Market 2014 - 2019
Figure 25: SDN Controllers Revenue 2014 - 2019
Figure 26: SDN Controllers Market 2014 - 2019
Figure 27: SDN Software Operation Revenue 2014 - 2019
Figure 28: SDN Software Operation Market 2014 - 2019
Figure 29: SDN Cloud Service Revenue 2014 - 2019
Figure 30: Cloud Service Providers Market 2014 - 2019

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