世界のSON (Self-Organizing Networks)市場:機会、課題、戦略、予測...市場調査レポートについてご紹介

【英文タイトル】The SON (Self-Organizing Networks) Ecosystem: 2015 – 2030 – Opportunities, Challenges, Strategies & Forecasts

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【レポートの概要(一部)】

1 Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Historical Revenue & 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: SON & Mobile Network Optimization Ecosystem
2.1 Conventional Mobile Network Optimization
2.1.1 Network Planning
2.1.2 Measurement Collection: Drive Tests, Probes and End User Data
2.1.3 Post-Processing, Optimization & Policy Enforcement
2.2 The SON (Self-Organizing Network) Concept
2.2.1 What is SON?
2.2.2 The Need for SON
2.3 Functional Areas of SON
2.3.1 Self-Configuration
2.3.2 Self-Optimization
2.3.3 Self-Healing
2.4 Market Drivers for SON Adoption
2.4.1 Continued Wireless Network Infrastructure Investments
2.4.2 Optimization in Multi-RAN & HetNet Environments
2.4.3 OpEx & CapEx Reduction: The Cost Saving Potential
2.4.4 Improving Subscriber Experience and Churn Reduction
2.4.5 Power Savings
2.4.6 Enabling Small Cell Deployments
2.4.7 Traffic Management
2.5 Market Barriers for SON Adoption
2.5.1 Complexity of Implementation
2.5.2 Reorganization & Changes to Standard Engineering Procedures
2.5.3 Lack of Trust in Automation
2.5.4 Lack of Operator Control: Proprietary SON Algorithms
2.5.5 Coordination between Distributed and Centralized SON
2.5.6 Network Security Concerns: New Interfaces and Lack of Monitoring

3 Chapter 3: SON Technology, Use Cases & Implementation Architectures
3.1 Where Does SON Sit Within a Mobile Network?
3.1.1 RAN
3.1.2 Mobile Core
3.1.3 Mobile Backhaul & Transport
3.1.4 Device-Assisted SON
3.2 SON Architecture
3.2.1 C-SON (Centralized SON)
3.2.2 D-SON (Distributed SON)
3.2.3 H-SON (Hybrid SON)
3.3 SON Use-Cases
3.3.1 Self-Configuration of Network Elements
3.3.2 Automatic Connectivity Management
3.3.3 Self-Testing of Network Elements
3.3.4 Self-Recovery of Network Elements/Software
3.3.5 Self-Healing of Board Faults
3.3.6 Automatic Inventory
3.3.7 ANR (Automatic Neighbor Relations)
3.3.8 PCI (Physical Cell ID) Configuration
3.3.9 CCO (Coverage & Capacity Optimization)
3.3.10 MRO (Mobility Robustness Optimization)
3.3.11 MLB (Mobile Load Balancing)
3.3.12 RACH (Random Access Channel) Optimization
3.3.13 ICIC (Inter-Cell Interference Coordination)
3.3.14 eICIC (Enhanced ICIC)
3.3.15 Energy Savings
3.3.16 Cell Outage Detection & Compensation
3.3.17 Self-Configuration & Optimization of Small Cells
3.3.18 Optimization of DAS (Distributed Antenna Systems)
3.3.19 RAN Aware Traffic Shaping
3.3.20 Traffic Steering in HetNets
3.3.21 Optimization of Virtualized Network Resources
3.3.22 Auto-Provisioning of Transport Links
3.3.23 Transport Network Bandwidth Optimization
3.3.24 Transport Network Interference Management
3.3.25 SON Coordination Management
3.3.26 Seamless Vendor Infrastructure Swap

4 Chapter 4: SON Standardization
4.1 NGNM (Next Generation Mobile Networks) Alliance
4.1.1 Conception of the SON Initiative
4.1.2 Functional Areas and Requirements
4.1.3 Implementation Approach
4.1.4 P-SmallCell (Project Small Cell)
4.1.5 Recommendations for Multi-Vendor SON Deployment
4.2 3GPP (Third Generation Partnership Project)
4.2.1 Release 8
4.2.2 Release 9
4.2.3 Release 10
4.2.4 Release 11
4.2.5 Release 12, 13 & Beyond
4.2.6 Implementation Approach

5 Chapter 5: SON Deployment Case Studies
5.1 AT&T Mobility
5.1.1 Vendor Selection & Contract Value
5.1.2 Implemented Use Cases
5.1.3 Results
5.2 Singtel
5.2.1 Vendor Selection & Contract Value
5.2.2 Implemented Use Cases
5.2.3 Results
5.3 TIM Brasil
5.3.1 Vendor Selection & Contract Value
5.3.2 Implemented Use Cases
5.3.3 Results
5.4 KDDI
5.4.1 Vendor Selection & Contract Value
5.4.2 Implemented Use Cases
5.4.3 Results
5.5 SK Telecom
5.5.1 Vendor Selection & Contract Value
5.5.2 Implemented Use Cases
5.5.3 Results
5.6 Globe Telecom
5.6.1 Vendor Selection & Contract Value
5.6.2 Implemented Use Cases
5.6.3 Results

6 Chapter 6: Industry Roadmap & Value Chain
6.1 Industry Roadmap
6.1.1 Large Scale Adoption of SON Technology: 2015 – 2020
6.1.2 Towards QoE/QoS Based End-to-End SON: 2020 – 2025
6.1.3 Continued Investments to Support 5G Rollouts: 2025 – 2030
6.2 Value Chain
6.3 Embedded Technology Ecosystem
6.3.1 Chipset Developers
6.3.2 Embedded Component/Software Providers
6.4 RAN Ecosystem
6.4.1 Macrocell RAN OEMs
6.4.2 Pure-Play and Specialist Small Cell OEMs
6.4.3 WiFi Access Point OEMs
6.4.4 DAS & Repeater Solution Providers
6.4.5 C-RAN Solution Providers
6.4.6 Other Technology & Network Component Providers/Enablers
6.5 Mobile Backhaul & Fronthaul Ecosystem
6.5.1 Backhaul & Fronthaul Solution Providers
6.6 Mobile Core Ecosystem
6.6.1 Core Network Infrastructure & Software Providers
6.7 Connectivity Ecosystem
6.7.1 2G, 3G & 4G Wireless Carriers
6.7.2 WiFi Connectivity Providers
6.7.3 SCaaS (Small Cells as a Service) Providers
6.8 SON & Mobile Network Optimization Ecosystem
6.8.1 SON Solution Providers
6.8.2 Mobile Network Optimization Solution Providers
6.9 SDN & NFV Ecosystem
6.9.1 SDN & NFV Providers

7 Chapter 7: Vendor Landscape
7.1 Accedian Networks
7.2 Accuver
7.3 AirHop Communications
7.4 Airspan Networks
7.5 Alcatel-Lucent
7.6 Amdocs
7.7 Anite
7.8 Arcadyan
7.9 Argela
7.10 Aricent
7.11 ARItel
7.12 Ascom
7.13 Astellia
7.14 ATDI
7.15 Avago Technologies
7.16 Avvasi
7.17 BLiNQ Networks
7.18 Cavium
7.19 CBNL (Cambridge Broadband Networks Limited)
7.20 CellMining
7.21 Cellwize
7.22 Celtro Communications
7.23 CENTRI
7.24 Cisco Systems
7.25 Citrix Systems
7.26 Comarch
7.27 CommAgility
7.28 Commsquare
7.29 Coriant
7.30 Datang Mobile
7.31 ECE (European Communications Engineering)
7.32 Ericsson
7.33 Flash Networks
7.34 Forsk
7.35 Fujitsu
7.36 Guavus
7.37 Hitachi
7.38 Huawei
7.39 InfoVista
7.40 Intel Corporation
7.41 InterDigital
7.42 ip.access
7.43 Lavastorm
7.44 Lemko Corporation
7.45 NEC Corporation
7.46 Nokia Networks
7.47 NXP Semiconductors
7.48 Optulink
7.49 P.I.Works
7.50 Plano Engineering
7.51 Qualcomm
7.52 RADCOM
7.53 Radisys Corporation
7.54 Reverb Networks
7.55 Rohde & Schwarz
7.56 Rorotika
7.57 Samsung Electronics
7.58 SEDICOM
7.59 Siklu Communication
7.60 SpiderCloud Wireless
7.61 Tarana Wireless
7.62 Tektronix Communications
7.63 TEOCO
7.64 Theta Networks
7.65 TI (Texas Instruments)
7.66 TTG International
7.67 Tulinx
7.68 Vasona Networks
7.69 Viavi Solutions
7.70 WebRadar
7.71 XCellAir
7.72 ZTE

8 Chapter 8: Market Analysis & Forecasts
8.1 SON & Mobile Network Optimization Revenue
8.2 SON Revenue
8.3 SON Revenue by Network Segment
8.3.1 SON in RAN
8.3.2 SON in Mobile Core
8.3.3 SON in Mobile Backhaul
8.4 SON Revenue by Architecture: Centralized vs. Distributed
8.4.1 C-SON
8.4.2 D-SON
8.5 SON Revenue by Wireless Network Generation: 2G/3G vs. 4G & Beyond
8.5.1 2G & 3G SON
8.5.2 4G & Beyond SON
8.6 SON Revenue by Region
8.7 Conventional Mobile Network Planning & Optimization Revenue
8.8 Conventional Mobile Network Planning & Optimization Revenue by Region
8.9 Asia Pacific
8.9.1 SON
8.9.2 Conventional Mobile Network Planning & Optimization
8.10 Eastern Europe
8.10.1 SON
8.10.2 Conventional Mobile Network Planning & Optimization
8.11 Latin & Central America
8.11.1 SON
8.11.2 Conventional Mobile Network Planning & Optimization
8.12 Middle East & Africa
8.12.1 SON
8.12.2 Conventional Mobile Network Planning & Optimization
8.13 North America
8.13.1 SON
8.13.2 Conventional Mobile Network Planning & Optimization
8.14 Western Europe
8.14.1 SON
8.14.2 Conventional Mobile Network Planning & Optimization
8.15 Top Country Markets
8.15.1 Australia
8.15.2 Brazil
8.15.3 Canada
8.15.4 China
8.15.5 France
8.15.6 Germany
8.15.7 India
8.15.8 Italy
8.15.9 Japan
8.15.10 Russia
8.15.11 South Korea
8.15.12 Spain
8.15.13 Taiwan
8.15.14 UK
8.15.15 USA

9 Chapter 9: Conclusion & Strategic Recommendations
9.1 Moving Towards QoE Based SON Platforms
9.2 Capitalizing on DPI (Deep Packet Inspection)
9.3 The Convergence of Big Data, Predictive Analytics & SON
9.4 Optimizing M2M & IoT Services
9.5 SON for NFV & SDN: The Push from Mobile Operators
9.6 Moving Towards Mobile Core and Transport Networks
9.7 Assessing the Impact of SON on Optimization & Field Engineers
9.8 SON Associated OpEx Savings: The Numbers
9.9 What SON Capabilities Will 5G Networks Entail?
9.10 The C-SON Versus D-SON Debate
9.11 Strategic Recommendations
9.11.1 SON & Conventional Mobile Network Optimization Solution Providers
9.11.2 Wireless Infrastructure OEMs
9.11.3 Mobile Operators


【レポート販売概要】

■ タイトル:世界のSON (Self-Organizing Networks)市場:機会、課題、戦略、予測
■ 英文:The SON (Self-Organizing Networks) Ecosystem: 2015 – 2030 – Opportunities, Challenges, Strategies & Forecasts
■ 発行日:2015年8月13日
■ 調査会社:Signals and Systems Telecom
■ 商品コード:SNST50903
■ 調査対象地域:グローバル
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