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市場調查報告書

SDN,NFV及網路虛擬化的生態系統 - 機會·課題·策略·預測

The SDN, NFV & Network Virtualization Ecosystem: 2016 - 2030 - Opportunities, Challenges, Strategies & Forecasts

出版商 Signals and Systems Telecom 商品編碼 346261
出版日期 內容資訊 英文 447 Pages
商品交期: 最快1-2個工作天內
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SDN,NFV及網路虛擬化的生態系統 - 機會·課題·策略·預測 The SDN, NFV & Network Virtualization Ecosystem: 2016 - 2030 - Opportunities, Challenges, Strategies & Forecasts
出版日期: 2016年05月09日 內容資訊: 英文 447 Pages
簡介

手機業者及網際網路服務供應商已經開始在許多機能領域投資SDN及NFV。服務供應商的SDN & NFV投資預測在2016年到2020年間將以46%的年複合成長率擴大。由於服務供應商的目標是削減成本及網路虛擬化,預測投資規模到2020年末將超過180億美元。

本報告涵括SDN,NFV及網路虛擬化的生態系統,提供賦能技術,主要趨勢,市場推動成長因素,課題,利用案例,發展中的案例研究,法規環境,標準化,機會,未來發展藍圖,價值鏈,生態系統企業簡介及策略之詳細分析,並彙整基於10個子市場,2個用戶基礎分類,9個利用案例,6個地區及34個國家之市場規模預測,為您概述為以下內容。

第1章 簡介

第2章 SDN,NFV及網路虛擬化概要

  • 網路虛擬化是什麼?
  • SDN (軟體定義網路) 是什麼?
  • SDN通訊協定
  • SDN實行方法
  • NFV (網路功能虛擬化) 是什麼?
  • NFV賦能技術
  • NFV實行架構
  • SDN NFV 差異為何?
  • 市場成長的促進要素
  • 市場障礙

第3章 SDN & NFV 使用概況

  • 大企業,資料中心及一般的利用案例
  • 服務供應商的利用案例

第4章 SDN & NFV 發展的案例研究

  • 服務供應商發展的案例研究
  • 大企業 & 資料中心發展的案例研究

第5章 產業藍圖及價值鏈

  • SDN,NFV及網路虛擬化的價值鏈
  • SDN,NFV及網路虛擬化的產業藍圖

第6章 標準化團體 & 聯盟

第7章 企業簡介 (244公司)

第8章 市場分析·預測

  • 全球SDN,NFV及網路虛擬化的收益展望
  • 以用戶為準的區分
  • 次市場的區分
  • SDN子市場收益
  • NFV子市場收益
  • 服務供應商的SDN子市場收益
  • 大企業 & 資料中心的SDN子市場收益
  • 服務供應商發展的功能領域區分
  • 地區展望
  • 亞太地區的SDN,NFV及網路虛擬化收益
  • 東歐的SDN,NFV及網路虛擬化收益
  • 南美·中美的SDN,NFV及網路虛擬化收益
  • 中東·非洲的SDN,NFV及網路虛擬化收益
  • 北美的SDN,NFV及網路虛擬化收益
  • 西歐的SDN,NFV及網路虛擬化收益

第9章 結論·策略性建議

  • SDN & NFV是否會破壞網路基礎設施價值鏈?
  • 在SDN & NFV的生態系統中有領導者存在嗎?
  • SDN & NFV:行動雲端的建立
  • 預計買主將會繼續重視商務的敏捷性 & CapEx削減
  • 避開專利的圈套
  • 服務供應商是否會繼續利用專用的硬體設備平台?
  • 讓VoLTE商務案例發揮作用
  • vEPC平台的採用增加
  • 服務供應商利用SDN & NFV可節約多少CapEx?
  • SDN & NFV編配預測
  • 策略性建議

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目錄

While the advantages of SDN (Software Defined Networking) and network virtualization are well known in the enterprise IT and data center world, both technologies also bring a host of benefits to the telecommunications service provider community. Not only can these technologies help address the explosive capacity demand of mobile traffic, but they can also reduce the CapEx and OpEx burden faced by service providers to handle this demand by diminishing reliance on expensive proprietary hardware platforms. The recognition of these benefits has led to the emergence of the NFV (Network Functions Virtualization) concept that seeks to virtualize and effectively consolidate many service provider network elements onto multi-tenant industry-standard servers, switches and storage.

Mobile operators and internet service providers have already begun making SDN and NFV investments in a number of functional areas including but not limited to EPC/mobile core, IMS, policy control, CPE (Customer Premises Equipment), CDN (Content Delivery Network) and transport networks. SNS Research estimates that service provider SDN and NFV investments will grow at a CAGR of 46% between 2016 and 2020. As service providers seek to reduce costs and virtualize their networks, these investments will eventually account for over $18 Billion in revenue by the end of 2020.

The "SDN, NFV & Network Virtualization Ecosystem: 2016 - 2030 - Opportunities, Challenges, Strategies & Forecasts" report presents an in-depth assessment of the SDN, NFV and network virtualization ecosystem including enabling technologies, key trends, market drivers, challenges, use cases, deployment case studies, regulatory landscape, standardization, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents market size forecasts from 2016 till 2030. The forecasts are segmented for 10 submarkets, 2 user base categories, 9 use cases, 6 regions and 34 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Table of Contents

1 Chapter 1: Introduction

  • 1.1 Executive Summary
  • 1.2 Topics Covered
  • 1.3 Forecast Segmentation
  • 1.4 Key Questions Answered
  • 1.5 Key Findings
  • 1.6 Methodology
  • 1.7 Target Audience
  • 1.8 Companies & Organizations Mentioned

2 Chapter 2: An Overview of SDN, NFV & Network Virtualization

  • 2.1 What is Network Virtualization?
  • 2.2 What is SDN (Software Defined Networking)?
  • 2.3 SDN Protocols
    • 2.3.1 OpenFlow
    • 2.3.2 BGP-TE (Border Gateway Protocol - Traffic Engineering)
    • 2.3.3 PCEP (Path Computation Element Protocol)
    • 2.3.4 I2RS (Interface to the Routing System)
    • 2.3.5 VxLAN (Virtual Extensible LAN)
    • 2.3.6 ALTO (Application Layer Traffic Optimization)
    • 2.3.7 IETF Software Driven Networks
  • 2.4 SDN Implementation Approaches
    • 2.4.1 Network Virtualization Approach
    • 2.4.2 Evolutionary Approach
    • 2.4.3 The "Central Control" Approach
  • 2.5 What is NFV (Network Functions Virtualization)?
  • 2.6 NFV Enabling Technologies
    • 2.6.1 Cloud Computing and Network Virtualization
    • 2.6.2 Open Management and Control Protocols
    • 2.6.3 Industry Standard High-Volume Servers
  • 2.7 NFV Implementation Architecture
    • 2.7.1 NFVI (NFV Infrastructure)
    • 2.7.1.1 Hardware Resources
    • 2.7.1.2 Virtualized Resources
    • 2.7.2 VNFs (Virtualized Network Functions)
    • 2.7.3 NFV-MANO (NFV-Management and Orchestration)
    • 2.7.3.1 VIM (Virtualized Infrastructure Manager)
    • 2.7.3.2 Orchestrator
    • 2.7.3.3 VNF Manager
  • 2.8 How SDN and NFV Differ from Each Other?
    • 2.8.1 Similarities and Differences
    • 2.8.2 Can Both Technologies Complement Each Other?
    • 2.8.3 How Are Vendors Positioning their Solutions?
  • 2.9 Market Drivers
    • 2.9.1 Leveraging Generic Low-cost Hardware
    • 2.9.2 Multi-tenancy on Same Hardware
    • 2.9.3 Reduced Power Consumption
    • 2.9.4 Faster TTM (Time to Market)
    • 2.9.5 Improved Operational Efficiency & Performance
    • 2.9.6 Centralized Provisioning and Network Control
    • 2.9.7 Ability to Launch New Services & Virtual Networks Quickly
    • 2.9.8 Dynamic Scaling of Services
    • 2.9.9 Opening the Door to Multi-vendor Interoperability
    • 2.9.10 CapEx and OpEx Reduction
    • 2.9.11 Fast Troubleshooting and Improved Diagnostics
    • 2.9.12 Vendor Support
  • 2.10 Market Barriers
    • 2.10.1 Lack of Standardization & Technology Maturity
    • 2.10.2 Uncertain Cost-Benefits Tradeoffs
    • 2.10.3 NFV May Slow/Delay Traffic
    • 2.10.4 Will Multi-vendor Interoperability Really Work?
    • 2.10.5 Co-Existence with Legacy Networks: Integration Challenges

3 Chapter 3: SDN & NFV Use Case Scenarios

  • 3.1 Enterprise, Data Center & Generic Use Cases
    • 3.1.1 Network Virtualization
    • 3.1.2 Scalable Data Centers
    • 3.1.3 SD-WAN (Software Defined WAN)
    • 3.1.4 Tap Aggregation
    • 3.1.5 Dynamic WAN Re-Routing
    • 3.1.6 Network Exchange: Interconnecting Physical Networks
    • 3.1.7 Improved Traffic Engineering
    • 3.1.8 Converged Storage
  • 3.2 Service Provider Centric Use Cases
    • 3.2.1 RAN Virtualization
    • 3.2.2 C-RAN (Cloud RAN)
    • 3.2.3 Wireline Fixed Access Network Virtualization
    • 3.2.4 CPE & Home Network Environment Virtualization
    • 3.2.5 Mobile Backhaul Virtualization
    • 3.2.6 EPC/Mobile Core Virtualization
    • 3.2.7 IMS & VoLTE Virtualization
    • 3.2.8 DPI Virtualization
    • 3.2.9 Policy Functions Virtualization
    • 3.2.10 Virtual Routers
    • 3.2.11 Virtualization & Control of Security Functions
    • 3.2.12 Virtualization of CDNs
    • 3.2.13 Service Chaining
    • 3.2.14 Bandwidth on Demand
    • 3.2.15 Packet-Optical Integration
    • 3.2.16 SDN/NFV Iaas (Infrastructure as a Service)
    • 3.2.17 VNFaas (Virtual Network Function as a Service)
    • 3.2.18 VNPaaS (Virtual Network Platform as a Service)

4 Chapter 4: SDN & NFV Deployment Case Studies

  • 4.1 Service Provider Deployment Case Studies
    • 4.1.1 AT&T
    • 4.1.2 BT Group
    • 4.1.3 China Mobile
    • 4.1.4 DT (Deutsche Telekom)
    • 4.1.5 Etisalat
    • 4.1.6 IIJ (Internet Initiative Japan)
    • 4.1.7 KDDI Corporation
    • 4.1.8 KT Corporation
    • 4.1.9 LG Uplus
    • 4.1.10 NAKA Mobile
    • 4.1.11 NTT Communications
    • 4.1.12 NTT DoCoMo
    • 4.1.13 PT (Portugal Telecom) /Oi
    • 4.1.14 SingTel
    • 4.1.15 SK Telecom
    • 4.1.16 SoftBank
    • 4.1.17 Telekom Austria Group
    • 4.1.18 Telstra
    • 4.1.19 Telefónica
    • 4.1.20 Verizon
    • 4.1.21 Vodafone Group
  • 4.2 Enterprise & Data Center Deployment Case Studies
    • 4.2.1 Baidu
    • 4.2.2 Citigroup
    • 4.2.3 City of Avondale
    • 4.2.4 Equinix
    • 4.2.5 Fidelity Investments
    • 4.2.6 Google
    • 4.2.7 Kanazawa University Hospital
    • 4.2.8 Microsoft
    • 4.2.9 Nippon Express
    • 4.2.10 Paddy Power Betfair
    • 4.2.11 Produban
    • 4.2.12 Shutterfly
    • 4.2.13 U2 Cloud
    • 4.2.14 UBM Tech

5 Chapter 5: Industry Roadmap and Value Chain

  • 5.1 The SDN, NFV & Network Virtualization Value Chain
    • 5.1.1 Silicon & Server OEMs
    • 5.1.2 Pure-play SDN/NFV Specialists
    • 5.1.3 Network Infrastructure Vendors
    • 5.1.4 IT Industry Giants
    • 5.1.5 Mobile Infrastructure Vendors
    • 5.1.6 Policy, OSS, BSS & Other Software Vendors
    • 5.1.7 Enterprises
    • 5.1.8 Service Providers
    • 5.1.9 Data Center Operators
  • 5.2 The SDN, NFV & Network Virtualization Industry Roadmap: 2016 - 2030
    • 5.2.1 2016 - 2020: Moving Towards Network Wide Orchestration
    • 5.2.2 2020 - 2025: Large Scale Proliferation in Service Provider Networks
    • 5.2.3 2025 - 2030: Continued Investments with 5G Rollouts

6 Chapter 6: Standardization Bodies & Alliances

  • 6.1 3GPP (3rd Generation Partnership Project)
  • 6.2 ETSI (European Telecommunications Standards Institute)
  • 6.3 Cloud NFV
  • 6.4 IETF (Internet Engineering Task Force)
  • 6.5 IRTF (Internet Research Task Force)
  • 6.6 ITU (International Telecommunications Union)
  • 6.7 MEF (Metro Ethernet Forum)
  • 6.8 ONF (Open Networking Foundation)
  • 6.9 OpenDaylight
  • 6.10 OpenStack Foundation
  • 6.11 ONRC (Open Networking Research Center) and ON.Lab (Open Networking Lab)
  • 6.12 OPNFV (Open Platform for NFV)
  • 6.13 OVA (Open Virtualization Alliance)
  • 6.14 OMG (Object Management Group)
  • 6.15 TM Forum
  • 6.16 Vendor Led Initiatives & Ecosystem Programs
    • 6.16.1 Nokia CloudBand Ecosystem Program
    • 6.16.2 Ciena Blue Orbit Ecosystem
    • 6.16.3 HP OpenNFV Application Partner Program
    • 6.16.4 HP SDN Ecosystem Alliance
    • 6.16.5 NEC SDN Partner Space
    • 6.16.6 Intel Network Builders Program
    • 6.16.7 Titanium Cloud Partner Program
    • 6.16.8 Juniper Technology Partner Program
    • 6.16.9 Red Hat NFV Ecosystem
    • 6.16.10 Amdocs Network Cloud Ecosystem

7 Chapter 7: Company Profiles

  • 7.1 6WIND
  • 7.2 A10 Networks
  • 7.3 Accedian Networks
  • 7.4 Accton Technology Corporation
  • 7.5 Active Broadband Networks
  • 7.6 Actus Networks
  • 7.7 ADARA Networks
  • 7.8 Adax
  • 7.9 ADLINK Technology
  • 7.10 ADTRAN
  • 7.11 ADVA Optical Networking
  • 7.12 Affirmed Networks
  • 7.13 Agema Systems
  • 7.14 Akamai Technologies
  • 7.15 ALAXALA Networks Corporation
  • 7.16 Albis Technologies
  • 7.17 Allied Telesis
  • 7.18 Allot Communications
  • 7.19 Alpha Networks
  • 7.20 ALTEN Calsoft Labs
  • 7.21 Altiostar Networks
  • 7.22 Alvarion Technologies
  • 7.23 AMD (Advanced Micro Devices)
  • 7.24 Amdocs
  • 7.25 ANEVIA
  • 7.26 Argela
  • 7.27 Aricent
  • 7.28 Arista Networks
  • 7.29 Arkoon Netasq
  • 7.30 ARM Holdings
  • 7.31 ARRIS Group
  • 7.32 Artesyn Embedded Technologies
  • 7.33 ASOCS
  • 7.34 Astellia
  • 7.35 AudioCodes
  • 7.36 Avaya
  • 7.37 Barracuda Networks
  • 7.38 Big Switch Networks
  • 7.39 BlueCoat
  • 7.40 Brain4Net
  • 7.41 Broadcom
  • 7.42 Broadpeak
  • 7.43 BroadSoft
  • 7.44 Brocade
  • 7.45 BTI Systems
  • 7.46 Canoga Perkins
  • 7.47 Canonical
  • 7.48 Catbird Networks
  • 7.49 Cavium
  • 7.50 Cedexis
  • 7.51 Cellwize
  • 7.52 Centec Networks
  • 7.53 Ceragon Networks
  • 7.54 Certes Networks
  • 7.55 Check Point Software Technologies
  • 7.56 Ciena Corporation
  • 7.57 Cisco Systems
  • 7.58 Citrix Systems
  • 7.59 Clavister
  • 7.60 ClearPath Networks
  • 7.61 CloudWeaver
  • 7.62 Cobham Wireless
  • 7.63 Cohesive Networks
  • 7.64 Colt Technology Services Group
  • 7.65 Comodo Security Solutions
  • 7.66 Compass-EOS
  • 7.67 Comptel
  • 7.68 Concurrent
  • 7.69 Coriant
  • 7.70 Corsa Technology
  • 7.71 CSC (Computer Sciences Corporation)
  • 7.72 Cumulus Networks
  • 7.73 Dell
  • 7.74 Dialogic
  • 7.75 Docker
  • 7.76 Dorado Software
  • 7.77 ECI Telecom
  • 7.78 Edgeware
  • 7.79 Ekinops
  • 7.80 Elemental Technologies
  • 7.81 EMC Corporation
  • 7.82 EnterpriseWeb
  • 7.83 Ericsson
  • 7.84 EXFO
  • 7.85 Extreme Networks
  • 7.86 F5 Networks
  • 7.87 FibroLAN
  • 7.88 Flash Networks
  • 7.89 Flextronics International
  • 7.90 Fortinet
  • 7.91 FRAFOS
  • 7.92 Fujitsu
  • 7.93 GENBAND
  • 7.94 Gencore Systems
  • 7.95 Gigamon
  • 7.96 GigaSpaces Technologies
  • 7.97 Guavus
  • 7.98 H3C Technologies
  • 7.99 Harmonic
  • 7.100 Hitachi
  • 7.101 HP (Hewlett-Packard)
  • 7.102 Huawei
  • 7.103 HyTrust
  • 7.104 IBM
  • 7.105 Illumio
  • 7.106 Imagine Communications Corporation
  • 7.107 Infinera
  • 7.108 Infoblox
  • 7.109 Inocybe Technologies
  • 7.110 Intel Corporation
  • 7.111 Interface Masters Technologies
  • 7.112 Intracom Telecom
  • 7.113 Intune Networks
  • 7.114 IP Infusion
  • 7.115 IPgallery
  • 7.116 iPhotonix
  • 7.117 IPITEK
  • 7.118 Italtel
  • 7.119 iwNetworks
  • 7.120 Ixia
  • 7.121 Juniper
  • 7.122 KEMP Technologies
  • 7.123 Lemko Corporation
  • 7.124 Lenovo
  • 7.125 Lumeta Corporation
  • 7.126 Luxoft Holding
  • 7.127 Maipu Communication Technology
  • 7.128 Marvell Technology Group
  • 7.129 MatrixStream Technologies
  • 7.130 MediaTek
  • 7.131 Mellanox Technologies
  • 7.132 Metaswitch Networks
  • 7.133 Microsoft
  • 7.134 Midokura
  • 7.135 Mirantis
  • 7.136 Mitel Networks Corporation
  • 7.137 Mojatatu Networks
  • 7.138 MRV Communications
  • 7.139 Nakina Systems
  • 7.140 Napatech
  • 7.141 NCLC (NCL Communication)
  • 7.142 NEC Corporation
  • 7.143 NetCracker Technology
  • 7.144 NETGEAR
  • 7.145 Netronome
  • 7.146 Netrounds
  • 7.147 NetScout Systems
  • 7.148 NetYCE
  • 7.149 NFVWare
  • 7.150 Nokia Networks
  • 7.151 Nominum
  • 7.152 NoviFlow
  • 7.153 NTT Communications
  • 7.154 NXP Semiconductors
  • 7.155 Omnitron Systems
  • 7.156 Openet
  • 7.157 Openwave Mobility
  • 7.158 Opera Software
  • 7.159 Optelian
  • 7.160 Oracle Corporation
  • 7.161 Orchestral networks
  • 7.162 Overture Networks
  • 7.163 OX (Open-Xchange)
  • 7.164 Ozono Security
  • 7.165 Packet Ship Technologies
  • 7.166 Padtec
  • 7.167 Parallel Wireless
  • 7.168 Palo Alto Networks
  • 7.169 Panda Security
  • 7.170 Pantheon Technologies
  • 7.171 PeerApp
  • 7.172 Penguin
  • 7.173 Pertino
  • 7.174 Pica8
  • 7.175 Plexxi
  • 7.176 PLUMgrid
  • 7.177 Pluribus Networks
  • 7.178 Polatis
  • 7.179 Procera Networks
  • 7.180 Qosmos
  • 7.181 Qualcomm
  • 7.182 Quanta Computer
  • 7.183 Quortus
  • 7.184 Rackspace
  • 7.185 RAD Data Communications
  • 7.186 Radisys Corporation
  • 7.187 Radware
  • 7.188 Rapid7
  • 7.189 Realtek Semiconductor Corporation
  • 7.190 Red Hat
  • 7.191 Redknee
  • 7.192 RightScale
  • 7.193 Riverbed Technology
  • 7.194 Ruckus Wireless
  • 7.195 Saisei
  • 7.196 Samsung Electronics
  • 7.197 Sandvine
  • 7.198 Sansay
  • 7.199 Sencore
  • 7.200 SevOne
  • 7.201 Silver Peak Systems
  • 7.202 Sonus Networks
  • 7.203 Sophos
  • 7.204 Sorrento Networks
  • 7.205 SpiderCloud Wireless
  • 7.206 Spirent Communications
  • 7.207 StackIQ
  • 7.208 SunTec Business Solutions
  • 7.209 Supermicro (Super Micro Computer)
  • 7.210 Svarog Technology Group
  • 7.211 Symantec Corporation
  • 7.212 SysMaster
  • 7.213 Tango Telecom
  • 7.214 TE Connectivity
  • 7.215 Tejas Networks
  • 7.216 Telchemy
  • 7.217 Telco Systems
  • 7.218 Telcoware
  • 7.219 Telum
  • 7.220 Thomson Video Networks
  • 7.221 TI (Texas Instruments)
  • 7.222 Tieto
  • 7.223 TitanHQ
  • 7.224 Trend Micro
  • 7.225 UBIqube
  • 7.226 Ultra Electronics AEP
  • 7.227 UTStarcom
  • 7.228 vArmour
  • 7.229 Versa Networks
  • 7.230 Veryx Technologies
  • 7.231 Viavi Solutions
  • 7.232 VMware
  • 7.233 WatchGuard Technologies
  • 7.234 Wavenet
  • 7.235 WebNMS
  • 7.236 Wedge Networks
  • 7.237 Wipro
  • 7.238 Wowza Media Systems
  • 7.239 Xilinx
  • 7.240 XOR Media
  • 7.241 Xtera Communications
  • 7.242 Xura
  • 7.243 Zhone Technologies
  • 7.244 ZTE

8 Chapter 8: Market Analysis & Forecasts

  • 8.1 Global Outlook of SDN, NFV & Network Virtualization Revenue: 2016 - 2030
  • 8.2 User Base Segmentation
    • 8.2.1 Enterprises & Data Centers
    • 8.2.2 Service Providers
  • 8.3 Submarket Segmentation
    • 8.3.1 SDN Hardware & Software
    • 8.3.2 NFV Hardware & Software
    • 8.3.3 Other Network Virtualization Software
    • 8.3.4 Service Provider Submarket Segmentation
  • 8.4 SDN Submarket Revenue: 2016 - 2030
    • 8.4.1 User Base Segmentation
    • 8.4.2 Service Provider SDN
    • 8.4.3 Enterprise & Data Center SDN
  • 8.5 NFV Submarket Revenue: 2016 - 2030
    • 8.5.1 Hardware Appliances
    • 8.5.2 Orchestration & Management Software
    • 8.5.3 VNF Software
  • 8.6 Service Provider SDN Submarket Revenue: 2016 - 2030
    • 8.6.1 SDN-Enabled Hardware Appliances
    • 8.6.2 Orchestration & Management Software
    • 8.6.3 SDN Controller Software
    • 8.6.4 Network Applications Software
  • 8.7 Enterprise & Data Center SDN Submarket Revenue: 2016 - 2030
    • 8.7.1 SDN-Enabled Hardware Appliances
    • 8.7.2 SDN-Enabled Virtual Switches
    • 8.7.3 SDN Controller Software
  • 8.8 Functional Area Segmentation for Service Provider Deployments
    • 8.8.1 CDN
    • 8.8.2 CPE
    • 8.8.3 Data Center
    • 8.8.4 EPC/Mobile Core
    • 8.8.5 Fixed Access Networks
    • 8.8.6 IMS & VoLTE
    • 8.8.7 Policy, OSS & BSS
    • 8.8.8 RAN
    • 8.8.9 Transport & Backhaul
  • 8.9 Regional Outlook
  • 8.10 Asia Pacific SDN, NFV & Network Virtualization Revenue: 2016 - 2030
    • 8.10.1 Australia
    • 8.10.2 China
    • 8.10.3 India
    • 8.10.4 Japan
    • 8.10.5 South Korea
    • 8.10.6 Pakistan
    • 8.10.7 Thailand
    • 8.10.8 Indonesia
    • 8.10.9 Malaysia
    • 8.10.10 Taiwan
    • 8.10.11 Philippines
    • 8.10.12 Singapore
    • 8.10.13 Rest of Asia Pacific
  • 8.11 Eastern Europe SDN, NFV & Network Virtualization Revenue: 2016 - 2030
    • 8.11.1 Czech Republic
    • 8.11.2 Poland
    • 8.11.3 Russia
    • 8.11.4 Rest of Eastern Europe
  • 8.12 Latin & Central America SDN, NFV & Network Virtualization Revenue: 2016 - 2030
    • 8.12.1 Argentina
    • 8.12.2 Brazil
    • 8.12.3 Mexico
    • 8.12.4 Rest of Latin & Central America
  • 8.13 Middle East & Africa SDN, NFV & Network Virtualization Revenue: 2016 - 2030
    • 8.13.1 South Africa
    • 8.13.2 UAE
    • 8.13.3 Qatar
    • 8.13.4 Saudi Arabia
    • 8.13.5 Israel
    • 8.13.6 Rest of the Middle East & Africa
  • 8.14 North America SDN, NFV & Network Virtualization Revenue: 2016 - 2030
    • 8.14.1 USA
    • 8.14.2 Canada
  • 8.15 Western Europe SDN, NFV & Network Virtualization Revenue: 2016 - 2030
    • 8.15.1 Denmark
    • 8.15.2 Finland
    • 8.15.3 France
    • 8.15.4 Germany
    • 8.15.5 Italy
    • 8.15.6 Spain
    • 8.15.7 Sweden
    • 8.15.8 Norway
    • 8.15.9 UK
    • 8.15.10 Rest of Western Europe

9 Chapter 9: Conclusion & Strategic Recommendations

  • 9.1 Will SDN & NFV Disrupt the Network Infrastructure Value Chain?
  • 9.2 Is There a Ring Leader in the SDN & NFV Ecosystem?
  • 9.3 SDN & NFV: Building the Mobile Cloud
  • 9.4 Buyers Will Maintain Focus on Business Agility & CapEx Reduction
  • 9.5 Avoiding the Proprietary Trap
  • 9.6 Will Service Providers Continue to Utilize Proprietary Hardware Platforms?
  • 9.7 Making the VoLTE Business Case Work
  • 9.8 Growing Adoption of vEPC (Virtualized EPC) Platforms
  • 9.9 How Much CapEx Can Service Providers Save with SDN & NFV Investments?
  • 9.10 Prospects of SDN & NFV Orchestration
    • 9.10.1 Different Vendors, Different Approaches
    • 9.10.2 Future Prospects of Harmonization
  • 9.11 Strategic Recommendations
    • 9.11.1 Recommendations for Silicon & Server OEMs
    • 9.11.2 Recommendations for Network & Mobile Infrastructure Vendors & IT Giants
    • 9.11.3 Recommendations for Pure-play SDN/NFV Specialists
    • 9.11.4 Recommendations for Enterprises and Data Center Operators
    • 9.11.5 Recommendations for Service Providers

List of Figures

  • Figure 1: The NFV Concept
  • Figure 2: A Comparison of SDN and NFV
  • Figure 3: C-RAN Architecture
  • Figure 4: Virtualized and Non-Virtualized Mobile Core Networks
  • Figure 5: China Mobile's NovoNet NFV/SDN Program
  • Figure 6: SK Telecom's vRAN (Virtualized Radio Access Network) Vision
  • Figure 7: The SDN, NFV & Network Virtualization Value Chain
  • Figure 8: The SDN, NFV & Network Virtualization Industry Roadmap: 2016 - 2030
  • Figure 9: Global SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 10: Global SDN, NFV & Network Virtualization Revenue by User Base: 2016 - 2030 ($ Million)
  • Figure 11: Global Enterprise & Data Center SDN & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 12: Global Service Provider SDN & NFV Revenue by User Base: 2016 - 2030 ($ Million)
  • Figure 13: Global SDN, NFV & Network Virtualization Revenue by Submarket: 2016 - 2030 ($ Million)
  • Figure 14: Global SDN Hardware & Software Revenue: 2016 - 2030 ($ Million)
  • Figure 15: Global NFV Hardware & Software Revenue: 2016 - 2030 ($ Million)
  • Figure 16: Global Other Network Virtualization Software Revenue: 2016 - 2030 ($ Million)
  • Figure 17: Global Service Provider SDN & NFV Revenue by Submarket: 2016 - 2030 ($ Million)
  • Figure 18: Global SDN Revenue by User Base: 2016 - 2030 ($ Million)
  • Figure 19: Global Service Provider SDN Hardware & Software Revenue: 2016 - 2030 ($ Million)
  • Figure 20: Global Enterprise & Data Center SDN Revenue: 2016 - 2030 ($ Million)
  • Figure 21: Global NFV Revenue by Submarket: 2016 - 2030 ($ Million)
  • Figure 22: Global NFV Hardware Appliance Revenue: 2016 - 2030 ($ Million)
  • Figure 23: Global NFV Orchestration & Management Software Revenue: 2016 - 2030 ($ Million)
  • Figure 24: Global NFV VNF Software Revenue: 2016 - 2030 ($ Million)
  • Figure 25: Global Service Provider SDN Revenue by Submarket: 2016 - 2030 ($ Million)
  • Figure 26: Global Service Provider SDN-Enabled Hardware Appliance Revenue: 2016 - 2030 ($ Million)
  • Figure 27: Global Service Provider SDN Orchestration & Management Revenue: 2016 - 2030 ($ Million)
  • Figure 28: Global Service Provider SDN Controller Software Revenue: 2016 - 2030 ($ Million)
  • Figure 29: Global Service Provider SDN Network Applications Software Revenue: 2016 - 2030 ($ Million)
  • Figure 30: Global Enterprise & Data Center SDN Revenue by Submarket: 2016 - 2030 ($ Million)
  • Figure 31: Global Enterprise & Data Center SDN-Enabled Hardware Appliance Revenue: 2016 - 2030 ($ Million)
  • Figure 32: Global Enterprise & Data Center SDN-Enabled Virtual Switch Revenue: 2016 - 2030 ($ Million)
  • Figure 33: Global Enterprise & Data Center SDN Controller Software Revenue: 2016 - 2030 ($ Million)
  • Figure 34: Global Service Provider SDN & NFV Revenue by Functional Area: 2016 - 2030 ($ Million)
  • Figure 35: Global SDN & NFV Revenue in Service Provider CDNs: 2016 - 2030 ($ Million)
  • Figure 36: Global SDN & NFV Revenue in Service Provider CPE Deployments: 2016 - 2030 ($ Million)
  • Figure 37: Global SDN & NFV Revenue in Service Provider Data Centers: 2016 - 2030 ($ Million)
  • Figure 38: Global SDN & NFV Revenue in Service Provider EPC/Mobile Core Networks: 2016 - 2030 ($ Million)
  • Figure 39: Global SDN & NFV Revenue in Service Provider Fixed Access Networks: 2016 - 2030 ($ Million)
  • Figure 40: Global SDN & NFV Revenue in Service Provider IMS & VoLTE Networks: 2016 - 2030 ($ Million)
  • Figure 41: Global SDN & NFV Revenue in Service Provider Policy, OSS & BSS Systems: 2016 - 2030 ($ Million)
  • Figure 42: Global SDN & NFV Revenue in Service Provider RANs: 2016 - 2030 ($ Million)
  • Figure 43: Global SDN & NFV Revenue in Service Provider Transport & Backhaul Networks: 2016 - 2030 ($ Million)
  • Figure 44: SDN, NFV & Network Virtualization Revenue by Region: 2016 - 2030 ($ Million)
  • Figure 45: Asia Pacific SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 46: Australia SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 47: China SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 48: India SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 49: Japan SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 50: South Korea SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 51: Pakistan SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 52: Thailand SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 53: Indonesia SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 54: Malaysia SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 55: Taiwan SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 56: Philippines SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 57: Singapore SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 58: SDN, NFV & Network Virtualization Revenue in the Rest of Asia Pacific: 2016 - 2030 ($ Million)
  • Figure 59: Eastern Europe SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 60: Czech Republic SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 61: Poland SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 62: Russia SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 63: SDN, NFV & Network Virtualization Revenue in the Rest of Eastern Europe: 2016 - 2030 ($ Million)
  • Figure 64: Latin & Central America SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 65: Argentina SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 66: Brazil SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 67: Mexico SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 68: SDN, NFV & Network Virtualization Revenue in the Rest of Latin & Central America: 2016 - 2030 ($ Million)
  • Figure 69: Middle East & Africa SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 70: South Africa SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 71: UAE SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 72: Qatar SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 73: Saudi Arabia SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 74: Israel SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 75: SDN, NFV & Network Virtualization Revenue in the Rest of the Middle East & Africa: 2016 - 2030 ($ Million)
  • Figure 76: North America SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 77: USA SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 78: Canada SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 79: Western Europe SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 80: Denmark SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 81: Finland SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 82: France SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 83: Germany SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 84: Italy SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 85: Spain SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 86: Sweden SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 87: Norway SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 88: UK SDN, NFV & Network Virtualization Revenue: 2016 - 2030 ($ Million)
  • Figure 89: SDN, NFV & Network Virtualization Revenue in the Rest of Western Europe: 2016 - 2030 ($ Million)
  • Figure 90: Virtualized vs. Non-Virtualized EPC Investments: 2016 - 2030 ($ Million)
  • Figure 91: SDN & NFV Induced Service Provider CapEx Saving Potential by Region: 2016 - 2030 ($ Million)
  • Figure 92: Management & Orchestration Software Revenue by Submarket: 2016 - 2030 ($ Million)
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