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2023-2032 年全球自我修復网络市场——按组件、部署、应用、最终用途划分的全球预测

市场调查报告书

商品编码

1245165

2023-2032 年全球自我修復网络市场——按组件、部署、应用、最终用途划分的全球预测

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个工作天内

价格

简介目录图表

全球自我修復网络市场将在 2023 年至 2032 年间显着增长，原因是大数据、视频数据、服务器虚拟化和云服务等技术创新的渗透率增加

随着 5G 的日益普及和物联网设备数量的指数级增长，网络规模正在显着增长，预计在未来几年内将达到 10 亿。自愈网络提供全面的评估，通过恢復过程中涉及的大量节点和恢復机制来分析网络对控制的影响。

通过使用网络自动化工具自动执行日常手动操作，您可以减少人为错误的可能性并优化网络功能。此外，这些工具通过最大限度地减少配置错误来帮助优化和扩展网络操作。

自愈网络行业按组件、部署、应用程序、最终用途和区域进行细分。

按组成部分来看，到 2032 年，服务业预计将有大量需求。该细分市场的增长归因于越来越多地采用自我修復网络服务，为运行和支持应用程序提供合适的平台。这些服务包括规划、设计、设备安装、培训、调试、测试、网络优化、维护、实施后支持和根本原因分析。

按部署部分划分，到 2032 年，本地部署部分的价值预计将超过 15 亿美元。从传统的修復网络方法到基于云计算服务（如 PaaS 和 SaaS）的自动化自我修復网络的不断转变将有利于行业前景。

从应用来看，网络流量管理领域有望显着增长。对网络流量分析解决方案不断增长的需求将减少安全专业人员在不知道隐私影响的情况下可以访问的解密技术的数量。除了不断变化的业务动态之外，数据安全已成为每个企业的重要因素，帮助最终用户分析威胁的网络分析将有利于细分市场的扩张。

在终端用途方面，IT 和 ITES 行业将在 2022 年占据 15% 的市场份额。自我修復网络监控 Internet 以检测故障并帮助 IT 自动化重新启动它们。最重要的是，自我修復网络有助于在无需干预的情况下立即快速地解决问题。

在区域方面，由于移动数据传输速度的提高、LTE 网络的推出以及未来 5G 网络的战略性激增，预计到 2032 年亚太地区的自愈网络行业将呈现强劲增长。该地区的业务增长也将受益于领先公司的日益增多，这些公司通过合作继续扩大其市场占有率。

内容

第 1 章研究方法和范围

第 2 章执行摘要

第 3 章自我修復网络的行业洞察

COVID-19 疫情的影响
俄乌战争影响分析
自愈网络的工业生态系统分析
技术和创新前景
- 人工智能/机器学习
- 物联网
- 网络自动化
监管状况
专利分析
主要举措和新闻
影响行业的因素
- 司机
  - 介绍与自愈进展相结合的自动化技术
  - 越来越需要控制和管理网络流量
  - 由于手动系统中的人为错误率突然增加而导致网络出现故障
  - 提供网络解决方案的初创公司增多
  - 越来越需要减少网络威胁和提高网络安全性
- 行业潜在的风险和挑战
  - 网络管理员意识不足
  - 增加网络中的安全威胁
增长分析
波特分析
PESTEL 分析

第 4 章竞争格局，2022 年

简介
每家公司的市场份额，2022 年
自我修復网络领先提供商的竞争分析（2022 年）
- 思科系统公司
- IBM 公司
- Forta, LLC
- ACT 光纤网络
- VMware
2022 年创新市场参与者的竞争分析
- 比戈
- 锡耶纳
- 康普
- 诺基亚公司
竞争对手定位矩阵
战略视角矩阵

第 5 章自我修復网络市场：按组件分类

主要趋势（按组件）
解决方案
服务内容

第 6 章自我修復网络市场：按部署

主要趋势（按部署）
本地
云
- 私人
- 公开
- 混合型
- 多云

第 7 章自愈网络市场：按应用分类

主要趋势（按应用）
网络配置和供应
分析根本原因
网络设备监控
网络流量管理
智能提醒
网络访问控制

第 8 章自我修復网络市场：按最终用途分类

最终用户的主要趋势
IT□ITES
电信
媒体和娱乐
BFSI
教育
国防部和政府
零售/消费品
其他

第 9 章自我修復网络市场：按地区

主要趋势（按地区）
北美

美国
加拿大

欧洲

英国
德国
法国
荷兰

亚太地区

中国
印度
日本
韩国
澳大利亚和新西兰

拉丁美洲

巴西
墨西哥
智利

多边环境协定

沙特阿拉伯
阿联酋
南非

第十章公司简介

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

简介目录图表

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