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市場調查報告書

SDN (軟體定義網路) 及NFV (網路功能虛擬化):創新的影響 2016-2021年

SDN and NFV: The Gamechanging Impact 2016-2021

出版商 Insight Research Corporation 商品編碼 372660
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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SDN (軟體定義網路) 及NFV (網路功能虛擬化):創新的影響 2016-2021年 SDN and NFV: The Gamechanging Impact 2016-2021
出版日期: 將在2017年04月30日 內容資訊: 英文

本報告已在2017年04月12日停止出版

簡介

軟體定義網路 (SDN) 及網路功能虛擬化 (NFV) ,改變了網路設計,工程,結構及管理的規則。NFV及SDN的相關企業數量已達三位數。

本報告涵括軟體定義網路 (SDN) 及網路功能虛擬化 (NFV) 市場,提供您SDN·NFV定義,實行方法,及案例研究,直接性·間接性商機,NFV·SDN市場規模,主要地區趨勢,及主要企業等相關分析。

第1章 摘要整理

第2章 SDN及NFV是什麼嗎?

  • SDN
    • 簡介·發展
    • 促進要素
    • 產業國際集團扮演的角色
    • SDN架構
    • SDN介面
  • NFV
    • 簡介·發展
    • 促進要素
    • 產業國際集團扮演的角色
    • NFV架構
  • 利用SDN及NFV的Telco (通訊業者)的要點
    • 快速的發展·引進
    • Capex·Opex的節約
    • 擁有功能豐富的服務

第3章 實行方法

  • 案例研究重要的理由
    • NFV·SDN的流動性定義
    • 用戶的期待·要點方面的不確定性
    • 將現有解決方案重塑為NFV和啟用SDN的可能性
    • SDN及NFV的互相依存範圍不一
    • 解決NFV及SDN的相關課題
  • 案例研究:Infinera
    • 企業的背景
    • 解決方案的規格
    • 要點
  • 案例研究:6Wind
  • 案例研究:Brocade
  • 案例研究:Adva
  • 案例研究:VMware
  • 案例研究:AT&T
  • 案例研究:Ericsson
  • 案例研究:Cumulus
  • 案例研究:Cisco

第4章 相關利益者的展望·簡介

  • Stakeholder perspectives and profiles
    • 概要
    • 相關利益者分類
      • Telcos
      • 網路設備供應商
      • 獨立軟體供應商
      • 管理服務供應商
    • 主要企業簡介
      • 6Wind
        • 簡介
        • 解決方案簡介·影響
      • Adva
      • Alcatel Lucent
      • AT&T
      • Blue Coat Systems
      • Brocade
      • Cavium
      • CenturyLink
      • Cenx
      • China Mobile
      • Chungwa Telecom
      • Ciena
      • Cisco
      • Citrix
      • CloudGenix
      • Corsa
      • Cumulus
      • CyRetix
      • Dell
      • Deutsche Telekom
      • Ericsson
      • Fiberhome Technologies
      • 富士通
      • HPE
      • Huawei
      • Infinera
      • Inventec
      • Juniper
      • Level 3
      • Mellanox
      • Mitel
      • NEC
      • Netberg
      • Nokia
      • NoviFlow
      • NTT komyunikeshonzu
      • Oracle
      • Orange
      • PCCW
      • Platina
      • RAD
      • Samsung
      • Sedona
      • SK Telecom
      • SM Optics
      • Sonus
      • Sprint
      • Swisscom
      • Tata Communications
      • Telefonica
      • Telus
      • Uberflow
      • Verizon
      • VmWare
      • Vodafone
      • Zeetta
      • ZTE

第5章 定量預測

  • 調查手法
  • 市場分類·摘要
  • SDN收益源
    • 含網路設備的硬體設備
    • SDN控制器
    • 軟體
    • 服務
  • NFV收益源
    • 含NFVi的硬體設備
    • NFV
    • 含MANO的其他硬體設備
    • 服務
  • Telco的降低成本
    • 採用SDN省下的Capex·Opex
    • 採用NFV省下的Capex·Opex
  • 企業的降低成本
    • 採用SDN省下的Capex·Opex
    • 採用NFV省下的Capex·Opex

圖表

目錄

Software-defined networking (SDN) and network function virtualization (NFV) promise to rewrite the rules of network design, engineering, configuration and management. Their impact is being felt across the stakeholder spectrum from OEMs to telecom operators. The number of companies associated with NFV and SDN is already in three digits.

What are SDN and NFV? At the risk of oversimplifying things, it can be said that SDN decouples the control and forwarding functions, and NFV heralds the advent of virtualization in the network equipment space. At individual vendor level, there is considerable heterogeneity about what SDN and NFV entail, and their interrelationship.

There are a few clear pointers though. Telcos are cautiously optimistic that NFV and SDN will facilitate their ascent into services and solutions with better profitability potential. NFV and SDN also democratize the network equipment manufacturing landscape to an extent, by opening the door wider for ISVs. Predictably, network equipment OEMs are proactively attempting to embellish their portfolios with NFV and SDN offerings.

This report will answer the following questions in the context of NFV and SDN:

  • 1. What are the real cost savings for telcos and enterprises?
  • 2. What are the direct and indirect revenue opportunities?
  • 3. How large is the NFV market? What are its hardware, software and service components?
  • 4. How large is the SDN market? What are its hardware, software and service components?
  • 5. What are the key geographical trends to look out for?
  • 6. Who are thought leaders? How do they influence implementation methodologies?
  • 7. Who are the key players? What are their initiatives and the implications of these initiatives?
  • 8. How similar are they, and how different? What are the motivations behind their development? Who are their principal champions? This report will answer these questions and also present a threadbare qualitative and quantitative implications of SDN and NFV for telecom products and services.

This report is a result of extensive primary and secondary research spanning a cross section of the industry. It will be an invaluable resource for telcos, OEMs, ODMs, ISVs, data centers, enterprises and investors with anything at stake in NFV and SDN.

Table of Contents

Chapter - I

  • Executive Summary

Chapter - II

  • What are SDN and NFV?
  • 2.1. SDN
    • 2.1.1. Introduction and evolution
    • 2.1.2. Drivers
      • 2.1.2.1. Service agility
      • 2.1.2.2. Centralized control
      • 2.1.2.3. Enhanced reliability
      • 2.1.2.4. Software-driven approach
    • 2.1.3. Role played by industry consortiums
    • 2.1.4. SDN architecture
      • 2.1.4.1. Application layer
      • 2.1.4.2. Control layer
      • 2.1.4.3. Infrastructure layer
    • 2.1.5. SDN interfaces
      • 2.1.5.1. Northbound interfaces
        • 2.1.5.1.1. REST
        • 2.1.5.1.2. Java
      • 2.1.5.2. Southbound interfaces
        • 2.1.5.2.1. OpenFlow
        • 2.1.5.2.1. API
        • 2.1.5.2.3. Overlay
        • 2.1.5.2.4. Others
  • 2.2. NFV
    • 2.2.1. Introduction and evolution
    • 2.2.2. Drivers
      • 2.2.2.1. Vendor neutral hardware
      • 2.2.2.2. Optimal utilization of resources
      • 2.2.2.3. Flexibility in network design
      • 2.2.2.4. Benign effect on capital and operating expenditure
    • 2.2.3. Role played by industry consortiums
    • 2.2.4. NFV architecture
      • 2.2.4.1. VNFI
      • 2.2.4.2. VNFs
      • 2.2.4.3. MANO
      • 2.2.4.4. Services and applications
      • 2.2.4.5. Parallels with server virtualization
  • 2.3. Takeaways for telcos from SDN and NFV
    • 2.3.1. Quicker roll-outs and deployment
    • 2.3.2. Capex and opex savings
    • 2.3.3. Ownership of feature-rich services

Chapter - III

  • Implementation methodologies
  • 3.1. Why are case studies important
    • 3.1.1. Fluid definitions of NFV and SDN
    • 3.1.2. Uncertainty about user expectations and takeaways
    • 3.1.3. Possibilities of rebranding existing solutions as NFV and SDN-enabled
    • 3.1.4. Non-agreement about the extent of mutual dependence of SDN and NFV
    • 3.1.5. Addressing challenges associated with NFV and SDN
  • 3.2. Case study - Infinera
    • 3.2.1. Background of the company
    • 3.2.2. Specifics of the solution
    • 3.2.3. Key takeaways
  • 3.3. Case study - 6Wind
    • 3.3.1. Background of the company
    • 3.3.2. Specifics of the solution
    • 3.3.3. Key takeaways
  • 3.4. Case study - Brocade
    • 3.4.1. Background of the company
    • 3.4.2. Specifics of the solution
    • 3.4.3. Key takeaways
  • 3.5. Case study - Adva
    • 3.5.1. Background of the company
    • 3.5.2. Specifics of the solution
    • 3.5.3. Key takeaways
  • 3.6. Case study - VMware
    • 3.6.1. Background of the company
    • 3.6.2. Specifics of the solution
    • 3.6.3. Key takeaways
  • 3.7. Case study - AT&T
    • 3.7.1. Background of the company
    • 3.7.2. Specifics of the solution
    • 3.7.3. Key takeaways
  • 3.8. Case study - Ericsson
    • 3.8.1. Background of the company
    • 3.8.2. Specifics of the solution
    • 3.8.3. Key takeaways
  • 3.9. Case study - Cumulus
    • 3.9.1. Background of the company
    • 3.9.2. Specifics of the solution
    • 3.9.3. Key takeaways
  • 3.10. Case study - Cisco
    • 3.10.1. Background of the company
    • 3.10.2. Specifics of the solution
    • 3.10.3. Key takeaways

Chapter - IV

  • Stakeholder perspectives and profiles
  • 4.1. Overview
  • 4.2. Stakeholder categories
    • 4.2.1. Telcos
      • 4.2.1.1. Outlook towards SDN
      • 4.2.1.2. Outlook towards NFV
      • 4.2.1.3. Inferences and implications
    • 4.2.2. Network equipment vendors
      • 4.2.2.1. Outlook towards SDN
      • 4.2.2.2. Outlook towards NFV
      • 4.2.2.3. Inferences and implications
    • 4.2.3. Independent software vendors
      • 4.2.3.1. Outlook towards SDN
      • 4.2.3.2. Outlook towards NFV
      • 4.2.3.3. Inferences and implications
    • 4.2.4. Managed service providers
      • 4.2.4.1. Outlook towards SDN
      • 4.2.4.2. Outlook towards NFV
      • 4.2.4.3. Inferences and implications
  • 4.3. Profile of key companies
  • 4.4. 6Wind
    • 4.4.1. Introduction
    • 4.4.2. Solution profile and implications
  • 4.5. Adva
    • 4.5.1. Introduction
    • 4.5.2. Solution profile and implications
  • 4.6. Alcatel Lucent
    • 4.6.1. Introduction
    • 4.6.2. Solution profile and implications
  • 4.7. AT&T
    • 4.7.1. Introduction
    • 4.7.2. Solution profile and implications
  • 4.8. Blue Coat Systems
    • 4.8.1. Introduction
    • 4.8.2. Solution profile and implications
  • 4.9. Brocade
    • 4.9.1. Introduction
    • 4.9.2. Solution profile and implications
  • 4.10. Cavium
    • 4.10.1. Introduction
    • 4.10.2. Solution profile and implications
  • 4.11. CenturyLink
    • 4.11.1. Introduction
    • 4.11.2. Solution profile and implications
  • 4.12. Cenx
    • 4.12.1. Introduction
    • 4.12.2. Solution profile and implications
  • 4.13. China Mobile
    • 4.13.1. Introduction
    • 4.13.2. Solution profile and implications
  • 4.14. Chungwa Telecom
    • 4.14.1. Introduction
    • 4.14.2. Solution profile and implications
  • 4.15. Ciena
    • 4.15.1. Introduction
    • 4.15.2. Solution profile and implications
  • 4.16. Cisco
    • 4.16.1. Introduction
    • 4.16.2. Solution profile and implications
  • 4.17. Citrix
    • 4.17.1. Introduction
    • 4.17.2. Solution profile and implications
  • 4.18. CloudGenix
    • 4.18.1. Introduction
    • 4.18.2. Solution profile and implications
  • 4.19. Corsa
    • 4.19.1. Introduction
    • 4.19.2. Solution profile and implications
  • 4.20. Cumulus
    • 4.20.1. Introduction
    • 4.20.2. Solution profile and implications
  • 4.21. CyRetix
    • 4.21.1. Introduction
    • 4.21.2. Solution profile and implications
  • 4.22. Dell
    • 4.22.1. Introduction
    • 4.22.2. Solution profile and implications
  • 4.23. Deutsche Telekom
    • 4.23.1. Introduction
    • 4.23.2. Solution profile and implications
  • 4.24. Ericsson
    • 4.24.1. Introduction
    • 4.24.2. Solution profile and implications
  • 4.25. Fiberhome Technologies
    • 4.25.1. Introduction
    • 4.25.2. Solution profile and implications
  • 4.26. Fujitsu
    • 4.26.1. Introduction
    • 4.26.2. Solution profile and implications
  • 4.27. HPE
    • 4.27.1. Introduction
    • 4.27.2. Solution profile and implications
  • 4.28. Huawei
    • 4.28.1. Introduction
    • 4.28.2. Solution profile and implications
  • 4.29. Infinera
    • 4.29.1. Introduction
    • 4.29.2. Solution profile and implications
  • 4.30. Inventec
    • 4.30.1. Introduction
    • 4.30.2. Solution profile and implications
  • 4.31. Juniper
    • 4.31.1. Introduction
    • 4.31.2. Solution profile and implications
  • 4.32. Level 3
    • 4.32.1. Introduction
    • 4.32.2. Solution profile and implications
  • 4.33. Mellanox
    • 4.33.1. Introduction
    • 4.33.2. Solution profile and implications
  • 4.34. Mitel
    • 4.34.1. Introduction
    • 4.34.2. Solution profile and implications
  • 4.35. NEC
    • 4.35.1. Introduction
    • 4.35.2. Solution profile and implications
  • 4.36. Netberg
    • 4.36.1. Introduction
    • 4.36.2. Solution profile and implications
  • 4.37. Nokia
    • 4.37.1. Introduction
    • 4.37.2. Solution profile and implications
  • 4.38. NoviFlow
    • 4.38.1. Introduction
    • 4.38.2. Solution profile and implications
  • 4.39. NTT Communications
    • 4.39.1. Introduction
    • 4.39.2. Solution profile and implications
  • 4.40. Oracle
    • 4.40.1. Introduction
    • 4.40.2. Solution profile and implications
  • 4.41. Orange
    • 4.41.1. Introduction
    • 4.41.2. Solution profile and implications
  • 4.42. PCCW
    • 4.42.1. Introduction
    • 4.42.2. Solution profile and implications
  • 4.43. Platina
    • 4.43.1. Introduction
    • 4.43.2. Solution profile and implications
  • 4.44. RAD
    • 4.44.1. Introduction
    • 4.44.2. Solution profile and implications
  • 4.45. Samsung
    • 4.45.1. Introduction
    • 4.45.2. Solution profile and implications
  • 4.46. Sedona
    • 4.46.1. Introduction
    • 4.46.2. Solution profile and implications
  • 4.47. SK Telecom
    • 4.47.1. Introduction
    • 4.47.2. Solution profile and implications
  • 4.48. SM Optics
    • 4.48.1. Introduction
    • 4.48.2. Solution profile and implications
  • 4.49. Sonus
    • 4.49.1. Introduction
    • 4.49.2. Solution profile and implications
  • 4.50. Sprint
    • 4.50.1. Introduction
    • 4.50.2. Solution profile and implications
  • 4.51. Swisscom
    • 4.51.1. Introduction
    • 4.51.2. Solution profile and implications
  • 4.52. Tata Communications
    • 4.52.1. Introduction
    • 4.52.2. Solution profile and implications
  • 4.53. Telefonica
    • 4.53.1. Introduction
    • 4.53.2. Solution profile and implications
  • 4.54. Telus
    • 4.54.1. Introduction
    • 4.54.2. Solution profile and implications
  • 4.55. Uberflow
    • 4.55.1. Introduction
    • 4.55.2. Solution profile and implications
  • 4.56. Verizon
    • 4.56.1. Introduction
    • 4.56.2. Solution profile and implications
  • 4.57. VmWare
    • 4.57.1. Introduction
    • 4.57.2. Solution profile and implications
  • 4.58. Vodafone
    • 4.58.1. Introduction
    • 4.58.2. Solution profile and implications
  • 4.59. Zeetta
    • 4.59.1. Introduction
    • 4.59.2. Solution profile and implications
  • 4.60. ZTE
    • 4.60.1. Introduction
    • 4.60.2. Solution profile and implications

Chapter - V

  • Quantitative forecasts
  • 5.1. Research methodology
  • 5.2. Market taxonomy and summary
  • 5.3. SDN revenue streams
    • 5.3.1. Hardware including network equipment
      • 5.3.1.1. Breakdown by customer type
      • 5.3.1.2. Breakdown by geographical region
    • 5.3.2. SDN controller
      • 5.3.2.1. Breakdown by customer type
      • 5.3.2.2. Breakdown by geographical region
    • 5.3.3. Software
      • 5.3.3.1. Breakdown by customer type
      • 5.3.3.2. Breakdown by geographical region
    • 5.3.4. Services
      • 5.3.4.1. Breakdown by customer type
      • 5.3.4.2. Breakdown by geographical region
  • 5.4. NFV revenue streams
    • 5.4.1. Hardware including NFVi
      • 5.4.1.1. Breakdown by customer type
      • 5.4.1.2. Breakdown by geographical region
    • 5.4.2. NFV
      • 5.4.2.1. Breakdown by customer type
      • 5.4.2.2. Breakdown by geographical region
    • 5.4.3. Other software including MANO
      • 5.4.3.1. Breakdown by customer type
      • 5.4.3.2. Breakdown by geographical region
    • 5.4.4. Services
      • 5.4.4.1. Breakdown by customer type
      • 5.4.4.2. Breakdown by geographical region
  • 5.5. Savings for telcos
    • 5.5.1. Capex and opex savings from SDN adoption
    • 5.5.2. Capex and opex savings from NFV adoption
  • 5.6. Savings for enterprises
    • 5.6.1. Capex and opex savings from SDN adoption
    • 5.6.2. Capex and opex savings from NFV adoption
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