表紙
市場調查報告書

按技術,基礎設施,解決方案,服務分類的自組織網絡(SON)市場(2020-2025)

Self Organizing Network Market by Technology, Infrastructure, Solutions, and Services 2020 - 2025

出版商 Mind Commerce 商品編碼 954097
出版日期 內容資訊 英文 133 Pages
商品交期: 最快1-2個工作天內
價格
按技術,基礎設施,解決方案,服務分類的自組織網絡(SON)市場(2020-2025) Self Organizing Network Market by Technology, Infrastructure, Solutions, and Services 2020 - 2025
出版日期: 2020年08月10日內容資訊: 英文 133 Pages
簡介

全球多廠商自組織網絡(SON)平台市場預計到2025年將達到72.8億美元,而SON安全解決方案和更新市場預計到2025年將達到90.9億美元。預計將達到10,000美元。 SON被用作位置信息分析,作為智能手機GPS的基於網絡的補充,並且越來越多地用於包括業務數據分析在內的非網絡功能。此外,5G網絡的複雜性要求改進操作和OSS,並且自組織網絡(SON)作為網絡框架的一部分被引入,以改善LTE和5G系統的OSS。

該報告調查了自組織網絡(SON)市場,並按類型/區域,競爭格局和主要趨勢評估了SON部署和運營,技術概述,市場預測,業務挑戰和機遇的收益。我們提供諸如公司簡介之類的信息。

目錄

第1章執行摘要

第2章SON技術概述

  • 向異構網絡演進
  • 3GPP Release 11 SON
    • 版本8、9和10的標準化
    • 3GPP版本8
    • 3GPP版本9
    • 3GPP版本10
    • 3GPP版本11
  • 自組織網絡概述
  • 自組織網絡的優勢
    • 網絡自動化
    • 節能
    • 降低設備成本
    • 分佈式/自組織(DSO)
    • 帶有SON的協調繼電器(CR)
    • SON反饋開銷
    • 基於密碼本的預編碼SON
    • SON反饋延遲

第3章SON用例和市場情況

  • 應用
    • 自我配置
    • 自我優化
    • 自我修復
    • 自我修復問題
  • 實施和操作選項
    • 集中
    • 難以置信
    • 本地化
    • 混種
  • SON發佈
  • 自動鄰接關係(ANR)
  • SON負載平衡
  • 移動魯棒性優化(MRO)
  • SON分佈式集群
  • 操作用例
  • 加強ICIC
  • 城市自組織網絡
    • 住宅/房屋
    • 企業
    • 地鐵/公共場所
    • 地區
    • SON和小細胞擴增

第4章SON和智能天線

  • 電動傾斜
  • 機械傾斜
  • SON/SON相關技術/解決方案
  • 天線傾斜度和參數設置
  • 天線傾斜功能和ROI
    • 克服特定DAS覆蓋區域中的性能問題
    • 節能

第5章SON業務銷售

  • NGMN用例
  • 運營商的優點
  • 運營商銷售
    • 經濟利潤
    • SON實施支出(IMPEX)
    • SON的資本支出(CAPEX)
    • SON運營費用(OPEX)
    • 更智能的自組織網絡
  • 對運營商部署LTE的建議

第6章SON供應商情況

  • Airhop Communications
  • Airspan
  • Amdocs
  • Ascom Holding AG
  • BLiNQ Networks
  • Bwtech
  • Casa Systems
  • Ccs (Cambridge Communication Systems) Ltd.
  • Cellwize Wireless Technologies Pte ltd.
  • Cisco
  • Comarch
  • Commscope
  • Ericsson
  • Huawei Technologies Co., Ltd.
  • Mera
  • NEC
  • Nokia
  • P.I. Works
  • Qualcomm
  • RadiSys Corporation
  • Reverb Networks
  • Rohde & Schwarz
  • Siemens AG
  • Teoco Corporation
  • Verizon
  • Viavi Solutions
  • ZTE Corporation

第7章市場分析與預測(2020-2025)

  • 世界市場
  • 平台類型
  • 架構類型
  • 接入網技術類型
  • 網段類型
  • 基礎設施
  • 應用
  • 服務類型
    • 專業服務類型
    • 託管服務類型
  • 常規移動網絡規劃和優化
  • 按地區劃分的傳統移動網絡規劃和優化
  • 按地區劃分的利潤
    • 北美
    • 南美洲
    • 歐洲
    • 亞太地區
    • 中東/非洲
目錄

Overview

This research evaluates Self Organizing Network (SON) capabilities and solutions. It analyzes the function of SON and evaluates the benefits of deployment and operation. The report includes forecasts from 2020 through 2025. The report is a balance between technical assessment of SON in terms of implementation, operations, optimization, and future issues with business issues. The business issues and opportunities sections provide critical analysis of the impact of SON from a cost savings and network efficiency perspective. Wireless carrier business operations groups will want to pay particular attention to the issues evaluated in this research to better understand the post-SON network.

LTE and 5G provide substantial benefits to wireless carriers including greater capacity for wireless applications and services. This greater supply of bandwidth will stimulate the development, implementation and operation of many new applications, each with very unique quality of service, bandwidth, and performance needs. 5G networks in particular will be much more complex and this will facilitate a need for improved operations and OSS. A key driver for improving OSS for LTE and 5G systems, the Self Organizing Network (SON) has been introduced as part of the network framework. Mind Commerce sees SON having a dramatically positive effect on network operations and OSS.

SON is largely a software-only solution today. In other words, SON is not a physical solution (such as Remote Electrical Tilt solutions). Mobile optimization comes in many forms ranging from RF to QoS for data management and applications. SON and related technologies/solutions fill a key role as it provides the ability to provide both static and near real-time information. It is important to note that smart antennas, DAS, and cloud RAN are all in the same family of optimizing operations, but not considered all part of SON.

It is also important to recognize that smart antennas, DAS, and cloud RAN are all in the same family of optimizing operations, and while related (in the network optimization family), are not considered part of SON in the strictest sense. Working hand-in-hand with SON to optimize wireless networks, smart antennas provide simultaneous and efficient coverage for 2G, 3G, and LTE. This translates into higher throughput and improved coverage for when and where customers need it. While this is helpful in terms of pre-5G optimization, it will arguably become critical for support of 5G network optimization and support for true 5G mobility with continuous connection within a given coverage area.

Target Audience:

  • ICT infrastructure providers
  • RF performance optimization vendors
  • NGOs and government R&D organizations
  • Managed communication services vendors

Select Report Findings:

  • The global multi-vendor SON platform market will reach $7.28B USD by 2025
  • The global market for SON security solutions and updates will reach $9.09B by 2025
  • SON will increasingly be used for non-network functions including business data analytics
  • SON will be relied upon for location analytics as a network-based complement to smartphone GPS

Companies in Report:

  • Airhop Communications
  • Airspan
  • Amdocs
  • Ascom Holding AG
  • BLiNQ Networks
  • Bwtech
  • Casa Systems
  • Ccs (Cambridge Communication Systems) Ltd.
  • Cellwize Wireless Technologies Pte ltd.
  • Cisco
  • Comarch
  • Commscope
  • Ericsson
  • Huawei Technologies Co., Ltd.
  • Mera
  • NEC
  • Nokia
  • P.I. Works
  • Qualcomm
  • RadiSys Corporation
  • Reverb Networks
  • Rohde & Schwarz
  • Siemens AG
  • Teoco Corporation
  • Verizon
  • Viavi Solutions
  • ZTE Corporation

Table of Contents

1.0. Executive Summary

2.0. SON Technology Overview

  • 2.1. The Evolution towards Heterogeneous Networks
  • 2.2. SON in 3GPP Release 11
    • 2.2.1. Releases 8, 9 and 10 Standardization
    • 2.2.2. 3GPP Release 8
    • 2.2.3. 3GPP Release 9
    • 2.2.4. 3GPP release 10
    • 2.2.5. 3GPP Release 11
  • 2.3. Self-Organizing Networks Overview
  • 2.4. Self-Organizing Networks Benefits
    • 2.4.1. Network Automation
    • 2.4.2. Energy Saving
    • 2.4.3. Lower Equipment Costs
    • 2.4.4. Distributed/Self-Organizing (DSO)
    • 2.4.5. Cooperative Relaying (CR) in SON
    • 2.4.6. SON Feedback Overhead
    • 2.4.7. Codebook-based Pre-coding SON
    • 2.4.8. SON Feedback Delays

3.0. SON Use Cases and Market Status

  • 3.1. SON Applications
    • 3.1.1. Self-Configuration
    • 3.1.2. Self-Optimization
    • 3.1.3. Self-Healing
    • 3.1.4. Problems with Self-Healing
  • 3.2. Implementation and Operations Options
    • 3.2.1. Centralized SON
    • 3.2.2. Distrusted SON
    • 3.2.3. Localized SON
    • 3.2.4. Hybrid SON
  • 3.3. SON Releases
  • 3.4. Automatic Neighbor Relation (ANR)
  • 3.5. SON Load Balancing
  • 3.6. Mobility Robustness Optimization (MRO)
  • 3.7. Distributed Clustering in SON
  • 3.8. Operational Use Cases
  • 3.9. ICIC Enhancement
  • 3.10. Urban Self-Organizing Networks
    • 3.10.1. Home/Residential Deployments:
    • 3.10.2. Enterprise Deployments:
    • 3.10.3. Metro and Public Space Deployments:
    • 3.10.4. Rural Deployments:
    • 3.10.5. SON and Small Cell Deployments

4.0. SON and Smart Antennas

  • 4.1. Electrical Tilt
  • 4.2. Mechanical Tilt
  • 4.3. SON vs. SON-related Technologies/Solutions
  • 4.4. Installing Antenna Tilt and its Parameters
  • 4.5. Antenna Tilt Features and ROI
    • 4.5.1. Overcoming Performance Issues in a Specific DAS Coverage Area
    • 4.5.2. Energy Savings

5.0. SON Business Value

  • 5.1. NGMN Use Case
  • 5.2. Operators Benefits
  • 5.3. Values of the SON to Operators
    • 5.3.1. Economic Benefits
    • 5.3.2. SON Implementation Expenditures (IMPEX)
    • 5.3.3. SON Capital Expenditures (CAPEX)
    • 5.3.4. SON Operational Expenditures (OPEX)
    • 5.3.5. Smarter Self Organizing Networks
  • 5.4. Recommendations for Operators to Deploy LTE

6.0. SON Vendor Landscape

  • 6.1. Airhop Communications
  • 6.2. Airspan
  • 6.3. Amdocs
  • 6.4. Ascom Holding AG
  • 6.5. BLiNQ Networks
  • 6.6. Bwtech
  • 6.7. Casa Systems
  • 6.8. Ccs (Cambridge Communication Systems) Ltd.
  • 6.9. Cellwize Wireless Technologies Pte ltd.
  • 6.10. Cisco
  • 6.11. Comarch
  • 6.12. Commscope
  • 6.13. Ericsson
  • 6.14. Huawei Technologies Co., Ltd.
  • 6.15. Mera
  • 6.16. NEC
  • 6.17. Nokia
  • 6.18. P.I. Works
  • 6.19. Qualcomm
  • 6.20. RadiSys Corporation
  • 6.21. Reverb Networks
  • 6.22. Rohde & Schwarz
  • 6.23. Siemens AG
  • 6.24. Teoco Corporation
  • 6.25. Verizon
  • 6.26. Viavi Solutions
  • 6.27. ZTE Corporation

7.0. Self Organizing Network Market Analysis and Forecasts

  • 7.1. Global SON Market 2020-2025
  • 7.2. SON Revenue by Platform Type 2020-2025
  • 7.3. SON Revenue by Architecture Type 2020-2025
  • 7.4. SON Revenue by Access Network Technology Type 2020-2025
  • 7.5. SON Revenue by Network Segment Type 2020-2025
  • 7.6. SON Revenue for RAN Optimization by Infrastructure 2020-2025
  • 7.7. SON Revenue for Applications 2020-2025
  • 7.8. SON Revenue by Service Type 2020-2025
    • 7.8.1. SON Revenue by Professional Service Type 2020-2025
    • 7.8.2. SON Revenue by Managed Service Type 2020-2025
  • 7.9. Conventional Mobile Network Planning and Optimization Revenue 2020-2025
  • 7.10. Conventional Mobile Network Planning and Optimization Revenue by Region 2020-2025
  • 7.11. SON Revenue by Region 2020-2025
    • 7.11.1. North America SON Revenue by Country 2020-2025
    • 7.11.2. South America SON Revenue by Country 2020-2025
    • 7.11.3. Europe SON Revenue by Country 2020-2025
    • 7.11.4. APAC SON Revenue by Country 2020-2025
    • 7.11.1. MEA SON Revenue by Country 2020-2025

Figures

  • Figure 1: HetNet Network Topology
  • Figure 2: SON Use Cases
  • Figure 3: LTE SON Releases
  • Figure 4: Centralized, Distributed and Localized SON Comparison
  • Figure 5: SON Operational Use Cases
  • Figure 6: Self Organizing Networks and Small Cells
  • Figure 7: Antenna Tilt
  • Figure 8: Electrical Tilt
  • Figure 9: Mechanical Tilt
  • Figure 10: SON Operational Efficiency
  • Figure 11: Fundamental SON Capabilities
  • Figure 12: Strategic Requirements and Business Drivers for SON
  • Figure 13: SON Architecture Configurations
  • Figure 14: Global SON Market 2020 - 2025
  • Figure 15: SON Revenue by Platform Type 2020 - 2025
  • Figure 16: SON Revenue by Architecture Type 2020 - 2025
  • Figure 17: SON Revenue by Access Network Technology Type 2020 - 2025
  • Figure 18: SON Revenue by Network Segment Type 2020 - 2025
  • Figure 19: SON Revenue for RAN Optimization by Infrastructure 2020 - 2025
  • Figure 20: SON Revenue for Applications 2020 - 2025
  • Figure 21: SON Revenue by Service Type 2020 - 2025
  • Figure 22: SON Revenue by Professional Service Type 2020 - 2025
  • Figure 23: SON Revenue by Managed Service Type 2020 - 2025
  • Figure 24: Conventional Mobile Network Planning & Optimization Revenue 2020 - 2025
  • Figure 25: Conventional Mobile Network Planning & Optimization Revenue by Region 2020 - 2025
  • Figure 26: SON Revenue by Region 2020 - 2025
  • Figure 27: North America SON Revenue by Country 2020 - 2025
  • Figure 28: South America SON Revenue by Country 2020 - 2025
  • Figure 29: Europe SON Revenue by Country 2020 - 2025
  • Figure 30: APAC SON Revenue by Country 2020 - 2025
  • Figure 31: MEA SON Revenue by Country 2020 - 2025

Tables

  • Table 1: Global SDM Market 2020 - 2025
  • Table 2: SON Revenue by Platform Type 2020 - 2025
  • Table 3: SON Revenue by Architecture Type 2020 - 2025
  • Table 4: SON Revenue by Access Network Technology Type 2020 - 2025
  • Table 5: SON Revenue by Network Segment Type 2020 - 2025
  • Table 6: SON Revenue for RAN Optimization by Infrastructure 2020 - 2025
  • Table 7: SON Revenue for Applications 2020 - 2025
  • Table 8: SON Revenue by Service Type 2020 - 2025
  • Table 9: SON Revenue by Professional Service Type 2020 - 2025
  • Table 10: SON Revenue by Managed Service Type 2020 - 2025
  • Table 11: Conventional Mobile Network Planning and Optimization Revenue 2020 - 2025
  • Table 12: Conventional Mobile Network Planning & Optimization Revenue by Region 2020 - 2025
  • Table 13: SON Revenue by Region 2020 - 2025
  • Table 14: North America SON Revenue by Country 2020 - 2025
  • Table 15: South America SON Revenue by Country 2020 - 2025
  • Table 16: Europe SON Revenue by Country 2020 - 2025
  • Table 17: APAC SON Revenue by Country 2020 - 2025
  • Table 18: MEA SON Revenue by Country 2020 - 2025