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2023-2032 年全球自我修復網絡市場——按組件、部署、應用、最終用途劃分的全球預測

市場調查報告書

商品編碼

1245165

2023-2032 年全球自我修復網絡市場——按組件、部署、應用、最終用途劃分的全球預測

Self-Healing Networks Market - By Component, By Deployment, By Application, By End-Use & Global Forecast, 2023 - 2032

出版日期: 2023年03月21日 | 出版商:

Global Market Insights Inc. | 英文 300 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

全球自我修復網絡市場將在 2023 年至 2032 年間顯著增長，原因是大數據、視頻數據、服務器虛擬化和雲服務等技術創新的滲透率增加

隨著 5G 的日益普及和物聯網設備數量的指數級增長，網絡規模正在顯著增長，預計在未來幾年內將達到 10 億。自愈網絡提供全面的評估，通過恢復過程中涉及的大量節點和恢復機制來分析網絡對控制的影響。

通過使用網絡自動化工具自動執行日常手動操作，您可以減少人為錯誤的可能性並優化網絡功能。此外，這些工具通過最大限度地減少配置錯誤來幫助優化和擴展網絡操作。

自愈網絡行業按組件、部署、應用程序、最終用途和區域進行細分。

按組成部分來看，到 2032 年，服務業預計將有大量需求。該細分市場的增長歸因於越來越多地採用自我修復網絡服務，為運行和支持應用程序提供合適的平台。這些服務包括規劃、設計、設備安裝、培訓、調試、測試、網絡優化、維護、實施後支持和根本原因分析。

按部署部分劃分，到 2032 年，本地部署部分的價值預計將超過 15 億美元。從傳統的修復網絡方法到基於雲計算服務（如 PaaS 和 SaaS）的自動化自我修復網絡的不斷轉變將有利於行業前景。

從應用來看，網絡流量管理領域有望顯著增長。對網絡流量分析解決方案不斷增長的需求將減少安全專業人員在不知道隱私影響的情況下可以訪問的解密技術的數量。除了不斷變化的業務動態之外，數據安全已成為每個企業的重要因素，幫助最終用戶分析威脅的網絡分析將有利於細分市場的擴張。

在終端用途方面，IT 和 ITES 行業將在 2022 年佔據 15% 的市場份額。自我修復網絡監控 Internet 以檢測故障並幫助 IT 自動化重新啟動它們。最重要的是，自我修復網絡有助於在無需干預的情況下立即快速地解決問題。

在區域方面，由於移動數據傳輸速度的提高、LTE 網絡的推出以及未來 5G 網絡的戰略性激增，預計到 2032 年亞太地區的自愈網絡行業將呈現強勁增長。該地區的業務增長也將受益於領先公司的日益增多，這些公司通過合作繼續擴大其市場佔有率。

內容

第 1 章研究方法和範圍

第 2 章執行摘要

第 3 章自我修復網絡的行業洞察

COVID-19 疫情的影響
俄烏戰爭影響分析
自愈網絡的工業生態系統分析
技術和創新前景
- 人工智能/機器學習
- 物聯網
- 網絡自動化
監管狀況
專利分析
主要舉措和新聞
影響行業的因素
- 司機
  - 介紹與自愈進展相結合的自動化技術
  - 越來越需要控制和管理網絡流量
  - 由於手動系統中的人為錯誤率突然增加而導致網絡出現故障
  - 提供網絡解決方案的初創公司增多
  - 越來越需要減少網絡威脅和提高網絡安全性
- 行業潛在的風險和挑戰
  - 網絡管理員意識不足
  - 增加網絡中的安全威脅
增長分析
波特分析
PESTEL 分析

第 4 章競爭格局，2022 年

簡介
每家公司的市場份額，2022 年
自我修復網絡領先提供商的競爭分析（2022 年）
- 思科系統公司
- IBM 公司
- Forta, LLC
- ACT 光纖網絡
- VMware
2022 年創新市場參與者的競爭分析
- 比戈
- 錫耶納
- 康普
- 諾基亞公司
競爭對手定位矩陣
戰略視角矩陣

第 5 章自我修復網絡市場：按組件分類

主要趨勢（按組件）
解決方案
服務內容

第 6 章自我修復網絡市場：按部署

主要趨勢（按部署）
本地
雲
- 私人
- 公開
- 混合型
- 多雲

第 7 章自愈網絡市場：按應用分類

主要趨勢（按應用）
網絡配置和供應
分析根本原因
網絡設備監控
網絡流量管理
智能提醒
網絡訪問控制

第 8 章自我修復網絡市場：按最終用途分類

最終用戶的主要趨勢
IT□ITES
電信
媒體和娛樂
BFSI
教育
國防部和政府
零售/消費品
其他

第 9 章自我修復網絡市場：按地區

主要趨勢（按地區）
北美

美國
加拿大

歐洲

英國
德國
法國
荷蘭

亞太地區

中國
印度
日本
韓國
澳大利亞和新西蘭

拉丁美洲

巴西
墨西哥
智利

多邊環境協定

沙特阿拉伯
阿聯酋
南非

第十章公司簡介

ACT Fibernet
Beegol
BlueCat Networks
BMC Software
Ciena
Cisco Systems, Inc.
CommScope
Ericsson
Forta, LLC
HCL Tech
Hitachi
Hewlett Packard Enterprise
Huawei
Huges Network Systems
IBM Corporation
Juniper Networks
Nokia Corporation
Parallel Networks LLC
Versa Networks
VMware

簡介目錄圖表

Product Code: 5496

Self-Healing Networks industry will depict noticeable growth during 2023-2032 owing to the increasing penetration of technological innovations such as big data, video on data, server virtualization, and cloud services. With the increasing adoption of 5G and surging number of IoT devices, the size of networks is growing significantly and is poised to reach a billion in the coming years. The self-healing network offers a comprehensive assessment to analyze the network's impact on control via a number of nodes involved in the recovery process and the recovery mechanism.

Automating routine manual operations with network automation tools helps lower the potential for human error and optimize network functionality. Additionally, these tools also assist in optimizing and extending network operations by minimizing configuration errors.

Overall, the self-healing networks industry is segmented in terms of component, deployment, application, end-use and region.

Based on component, the services segment will be in huge demand by 2032. The segmental growth can be credited to the mounting adoption of self-healing network services to offer a suitable platform to run and support their applications. These services include planning, design, equipment installation, training, commissioning, testing, network optimization, maintenance, post-implementation support, and root cause analysis.

By deployment, the on-premises deployment segment is anticipated to be valued at over USD 1.5 billion by 2032. The increasing shift of companies from the traditional approach of the healing network to automated self-healing networks based purely on cloud computing services such as PaaS and SaaS will positively favor the industry outlook.

Considering the application, the network traffic management segment is slated to grow considerably. Mounting demand for network traffic analysis solutions reduces the number of decryption methods that security professionals can access without knowing the privacy implications. In addition to changing business dynamics, data security has become a critical part of every business and network analytics helping end users analyze threats will positively favor segment expansion.

In terms of end-use, the IT and ITES industry held 15% market share in 2022. A self-healing network helps monitor the internet to detect failures and IT automation to restart it. Most importantly, self-healing networks help resolve the problem immediately and quickly without any intervention.

Regionally, the Asia Pacific self-healing network industry will showcase sturdy growth through 2032 owing to the increasing penetration of higher mobile data transfer rates and the strategic surge in LTE network deployments and upcoming 5G networks. Besides, growing presence of prominent players that are constantly expanding the market presence through collaborations will favor the business growth in the region.

Chapter 1 Methodology & Scope

1.1 Market definition
1.2 Base estimates & forecast
1.3 Forecast calculations
1.4 Data Sources
- 1.4.1 Secondary
- 1.4.2 Primary

Chapter 2 Executive Summary

2.1 Self-healing networks industry 360 degree synopsis, 2018 - 2032
2.2 Business trends
- 2.2.1 Total addressable market (TAM) trends, 2023 - 2032
2.3 Regional trends
2.4 Component trends
2.5 Deployment trends
2.6 Application trends
2.7 End-use trends

Chapter 3 Self-Healing Networks Industry Insights

3.1 Impact of COVID-19 outbreak
3.2 Impact analysis of Russia-Ukraine war
3.3 Self-healing networks industry ecosystem analysis
3.4 Technology & innovation landscape
- 3.4.1 AI/Machine learning
- 3.4.2 IoT
- 3.4.3 Network automation
3.5 Regulatory landscape
3.6 Patent analysis
3.7 Key initiatives & news
3.8 Industry impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increasing adoption of automation technologies integrated with self-healing
  - 3.8.1.2 Rising need to control and manage network traffic
  - 3.8.1.3 Surge in human error rates in manual systems causing network downtime.
  - 3.8.1.4 Increasing number of startups to offer networking solutions
  - 3.8.1.5 Rising need of improving network security by mitigating cyber threats
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 Lack of awareness among network administrators
  - 3.8.2.2 Rising security threats across networks
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major self-healing networks providers, 2022
- 4.3.1 Cisco Systems, Inc.
- 4.3.2 IBM Corporation
- 4.3.3 Forta, LLC
- 4.3.4 ACT Fibernet
- 4.3.5 VMware
4.4 Competitive analysis of innovative market players, 2022
- 4.4.1 Beegol
- 4.4.2 Ciena
- 4.4.3 CommScope
- 4.4.4 Nokia Corporation
4.5 Competitive positioning matrix
4.6 Strategic outlook matrix

Chapter 5 Self-Healing Networks Market, By Component

5.1 Key trends, by component
5.2 Solutions
- 5.2.1 Market estimates and forecast, 2018 - 2032
5.3 Services
- 5.3.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Self-Healing Networks Market, By Deployment

6.1 Key trends, by deployment
6.2 On-premises
- 6.2.1 Market estimates and forecast, 2018 - 2032
6.3 Cloud
- 6.3.1 Market estimates and forecast, 2018-2032
- 6.3.2 Private
  - 6.3.2.1 Market estimates and forecast, 2018-2032
- 6.3.3 Public
  - 6.3.3.1 Market estimates and forecast, 2018-2032
- 6.3.4 Hybrid
  - 6.3.4.1 Market estimates and forecast, 2018-2032
- 6.3.5 Multi-cloud
  - 6.3.5.1 Market estimates and forecast, 2018-2032

Chapter 7 Self-Healing Networks Market, By Application

7.1 Key trends, by application
7.2 Network configuration and provisioning
- 7.2.1 Market estimates and forecast, 2018 - 2032
7.3 Root cause analyze
- 7.3.1 Market estimates and forecast, 2018 - 2032
7.4 Network equipment monitoring
- 7.4.1 Market estimates and forecast, 2018 - 2032
7.5 Network traffic management
- 7.5.1 Market estimates and forecast, 2018 - 2032
7.6 Smart alerting
- 7.6.1 Market estimates and forecast, 2018 - 2032
7.7 Network access control
- 7.7.1 Market estimates and forecast, 2018 - 2032