Transforming Telecommunications and Managed Services: Network Infrastructure Virtualization (NFV)

Transforming Telecommunications and Managed Services: Network Infrastructure Virtualization (NFV)

Historically, telecom operators have looked to infrastructure providers, service bureau companies and traditional managed communication services companies for infrastructure and related services. A recent industry trend has been to outsource infrastructure as a service as a means of reducing Capital Expenditure (CapEx) and to use as negotiation leverage for improved pricing on next generation networks such as IP Multimedia Subsystem (IMS) and LTE infrastructure such as Voice over LTE (VoLTE).

Network Functions Virtualization (NFV) is a telecom led initiative that aims to utilize standard IT virtualization technology to consolidate many telco network equipment types onto industry standard high volume servers, switches and storage. NFV involves implementing network functions in software that can run on a range of industry standard server hardware, and that can be moved to, or instantiated in, various locations in the network as required, without the need to install new proprietary equipment.

This report evaluates the impact of virtualization on managed services including communications, applications, content, and commerce.

The report includes market outlook, forecasts 2014 – 2019, and specific recommendations for industry constituents.

Report Benefits:

  • Network Function Virtualization (NFV) Forecast 2014 – 2019
  • Understand telecom virtualization and NFV in mobile networks
  • Identify the NFV use cases and related business benefits for telecom
  • Understand virtualization principles and methods for cloud-based infrastructure
  • Recognize the threats and opportunities for carriers and infrastructure providers
  • Identify specific virtualization opportunities for managed telecom service providers
  • Understand the role and importance of Software Defined Networks (SDN) in virtualization
  • Understand the role of virtualization in each network functional plane: Transport, Control, and Services
Target Audience:
  • Datacenter providers
  • 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

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
2.0 Managed Services
2.1 Types Of Telecom Services
2.1.1 Technical Services
2.1.2 Professional Services
2.1.3 Managed Services
2.2 Managed Services Types
2.2.1 Managed Infrastructure Services
2.2.2 Managed Content Services
2.2.3 Managed Communication Services
2.2.4 Managed Application Services
2.2.5 Managed Data And Information
2.2.6 Managed Security
2.2.7 Managed Storage
3.0 Virtualization
3.1 Virtualization In Context
3.2 Virtualization And Software Defined Networks (Sdn)
3.3 Virtualization And Cloud Orchestration
3.4 Virtualization Drivers
3.5 Virtualization Challenges
3.6 Virtualization Configuration Management
4.0 Technical And Architectural Considerations
4.1 Network Issues
4.1.1 Connectivity
4.1.2 Protocol Interoperability
4.1.3 Access Authentication And Authorization
4.1.4 Address Mapping And Routing
4.2 Cloud Based Services
4.2.1 Cloud Based And Hybrid Data Centers
4.2.2 Virtualized Services: Communications, Apps, Content, And Commerce In The Cloud
4.3 Virtualization Of Network Infrastructure
4.3.1 Virtualization Of The Network Planes: Transport, Control, And Services
4.3.2 Network Evolution: Classic Hardware To Virtual Appliances
4.3.3 Network Function Virtualization (Nfv)
4.3.4 Nfv Use Cases: Architectural And Service-oriented
4.3.5 Operational Support Systems (Oss) And Billing Support Systems (Bss)
5.0 Impact Of Virtualization On Managed Services
5.1 Virtualization Is Not Synonymous With Cloud Computing But Is Important
5.2 The Virtualized Cloud Environment
5.3 Virtualization And Multitenant Architecture And Services Delivery
5.4 Virtualization And Telecom Network Functional Elements
5.5 Virtualization And Software Defined Networks (Sdn)
5.6 Virtualization In The Enterprise
5.7 Virtualization And Managed Services
6.0 Virtualization Threats And Opportunities
6.1 Managed Service Providers To Become Predator And Prey
6.1.1 Threats To Incumbent Providers
6.1.2 Opportunities For Alternative Providers
6.2 Specific Threats And Opportunities To Managed Infrastructure Providers
6.3 Opportunities For Network Operators
6.4 Opportunities For Managed Services Providers
6.4.1 Nfv Orchestration
6.4.2 Inter-cloud Interoperability (Ici)
6.5 Opportunities To Content And Application Providers
7.0 Network Function Virtualization Outlook And Forecasts 2014 - 2019
7.1 Revenue Opportunities In Nfv
7.2 Global Nfv Outlook And Revenue
7.3 Regional Nfv Revenue
7.3.1 Asia Pacific Region
7.3.2 Eastern Europe Region
7.3.3 Latin America Region
7.3.4 Middle East And Africa Region
7.3.5 North America Region
7.3.6 Western Europe Region
8.0 Conclusions And Recommendations
8.1 Virtualized Mobile Networks
8.2 Infrastructure And Managed Service Vendors
8.3 Mobile Network Operators
8.4 Managed Service Providers
List of Figures
Figure 1: Managed Services
Figure 2: Managed Telecom Services
Figure 3: Infrastructure Managed Services
Figure 4: Managed Network
Figure 5: Virtualization Savings
Figure 6: Routing Problem
Figure 7: Cloud-based Hybrid Datacenter
Figure 8: Virtualized Network Infrastructure
Figure 9: Managed Router Deployment with NFV
Figure 10: NFV Architectural Use Case
Figure 11: NFV Service-oriented Use Case
Figure 12: NFV and OSS/BSS
Figure 13: SDN and Cloud Infrastructure Datacenter Consolidation
Figure 14: NFV and SDN
Figure 15: NFV Management and Orchestration (MANO)
Figure 16: Inter-Cloud Interoperability and Federation
Figure 17: Revenue Opportunities in NFV
Figure 18: MANO Descriptor Files
Figure 19: NFV Sales Revenue: 2014 – 2019
Figure 20: NFV Sales Revenue by Region: 2014 – 2019
Figure 21: Asia Pacific Sales Revenue: 2014 – 2019
Figure 22: Eastern Europe Sales Revenue: 2014 – 2019
Figure 23: Latin America Sales Revenue: 2014 – 2019
Figure 24: Middle East and Africa Sales Revenue: 2014 – 2019
Figure 25: North America Sales Revenue: 2013 – 2019
Figure 26: Western Europe Revenue: 2014 – 2019
Figure 27: Standard EPC Configuration
Figure 28: Virtualized EPC Configuration

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