Summary

Global Self-Healing Networks Market is valued at approximately USD 500 million in 2022 and is anticipated to grow with a healthy growth rate of more than 25% over the forecast period 2023-2030. Self-healing networks refer to network infrastructures equipped with automated mechanisms designed to detect, diagnose, and mitigate faults or disruptions without human intervention. These networks possess the capability to identify issues such as hardware failures, software errors, security breaches, congestion, or other performance degradation, and then autonomously implement corrective actions to restore normal operations. The Self-Healing Networks market is expanding because of factors such as the rising demand for network management systems in telecom industry and the increasing adoption of edge computing with information technology industry. As a result, the demand for Self-Healing Networks has progressively increased in the global market during the forecast period 2023-2030.

Network management systems collect vast amounts of data on network performance, traffic patterns, and device behavior. By leveraging data analytics and machine learning algorithms, these systems can detect anomalies and predict potential failures. Self-healing networks can then use this insight to autonomously initiate corrective actions, ensuring continuous operation and minimizing downtime. According to Statista, in 2022, the global network management systems market accounts for USD 9 billion and the market was forecast to reach up to USD 21 billion by the year 2032. Furthermore, efficient network management systems help organizations streamline operations and reduce operational costs associated with manual intervention and downtime. Another important factor that drives the Self-Healing Networks market is the increasing adoption of edge computing within information technology industry. Edge computing brings computational resources closer to data sources, reducing latency and improving response times. This proximity enables self-healing networks to detect and respond to issues more rapidly, enhancing network resilience and reliability. Moreover, supportive government initiatives toward network security and technological advancements associated with self-healing networks are anticipated to create a lucrative growth opportunity for the market over the forecast period. However, lack of awareness among network administrators and rising data breaches across network infrastructures is going to impede overall market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Self-Healing Networks Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the rising investments in digitalized IT infrastructure and stringent government policies towards network security in the region. Digitalized IT infrastructures often require high levels of uptime and performance to support critical business operations and services. Self-healing networks improve operational efficiency by minimizing downtime and reducing the need for manual intervention in troubleshooting and problem resolution. The region’s dominant performance is anticipated to propel the overall demand for Self-Healing Networks. Furthermore, Asia Pacific is expected to grow fastest during the forecast period, owing to factors such as rising adoption of cloud-based services and growing demand for high-speed networks in the region. Cloud-based services provide scalability and flexibility, allowing self-healing network solutions to adapt to changing demands and environments. As network infrastructures expand or evolve, cloud-based self-healing solutions can seamlessly scale up or down to accommodate these changes.


Major market players included in this report are:

Hewlett Packard Enterprise
Cisco Systems, Inc.
VMware, Inc
Elisa Polystar AB
International Business Machines Corporation
CommScope Holding Company, Inc.
Fortra Technologies, Inc.
SolarWinds Corporation
BMC Software, Inc.
Zoho Corporation

Recent Developments in the Market:
 In August 2023, Cisco Systems, Inc. and Nutanix, Inc., the leader in hybrid multicloud computing, announced a global strategic partnership to accelerate hybrid multicloud deployments by providing the industry's most comprehensive hyperconverged solution for IT modernization and business transformation. Since multi-cloud complexity expands, IT organisations face operational, sustainability, and security difficulties. This new collaboration solves these challenges by simplifying and speeding up infrastructure and application delivery on a global scale by leveraging best-in-class cloud operating models, unparalleled flexibility, and automated resiliency, all supported by industry-leading customer service.

Global Self-Healing Networks Market Report Scope:
 Historical Data – 2020 - 2021
 Base Year for Estimation – 2022
 Forecast period - 2023-2030
 Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
 Segments Covered - Component, Deployment, Application, End-use, Region
 Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
 Customization Scope - Free report customization (equivalent to up to 8 analysts’ working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define the market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters to detailed information about the crucial aspects such as driving factors & challenges that will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component
Solutions
Services

By Deployment
On-premises
Cloud

By Application
Network configuration and provisioning
Root cause analyze
Network equipment monitoring
Network traffic management
Smart alerting
Network access control
Others

By End-use
IT and ITES
Telecom
Media and entertainment
BFSI
Education
Government and defense
Retail and consumer goods
Others


By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

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Table of Contents

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Million)
1.2.1. Self-Healing Networks Market, by Region, 2020-2030 (USD Million)
1.2.2. Self-Healing Networks Market, by Component, 2020-2030 (USD Million)
1.2.3. Self-Healing Networks Market, by Deployment, 2020-2030 (USD Million)
1.2.4. Self-Healing Networks Market, by Application, 2020-2030 (USD Million)
1.2.5. Self-Healing Networks Market, by End-use, 2020-2030 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Self-Healing Networks Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Self-Healing Networks Market Dynamics
3.1. Self-Healing Networks Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Rising Demand of Network Management Systems
3.1.1.2. Increasing Adoption of Edge Computing
3.1.2. Market Challenges
3.1.2.1. Lack of Awareness among Network Administrators
3.1.2.2. Rising Incidences of Data Breaches across Network Infrastructures
3.1.3. Market Opportunities
3.1.3.1. Supportive Government Initiatives Towards Network Security

3.1.3.2. Technological Advancements Associated With Self-Healing Networks
Chapter 4. Global Self-Healing Networks Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Self-Healing Networks Market, by Component
5.1. Market Snapshot
5.2. Global Self-Healing Networks Market by Component, Performance - Potential Analysis
5.3. Global Self-Healing Networks Market Estimates & Forecasts by Component 2020-2030 (USD Million)
5.4. Self-Healing Networks Market, Sub Segment Analysis
5.4.1. Solutions
5.4.2. Services
Chapter 6. Global Self-Healing Networks Market, by Deployment
6.1. Market Snapshot
6.2. Global Self-Healing Networks Market by Deployment, Performance - Potential Analysis
6.3. Global Self-Healing Networks Market Estimates & Forecasts by Deployment 2020-2030 (USD Million)
6.4. Self-Healing Networks Market, Sub Segment Analysis
6.4.1. On-premises
6.4.2. Cloud
Chapter 7. Global Self-Healing Networks Market, by Application
7.1. Market Snapshot
7.2. Global Self-Healing Networks Market by Application, Performance - Potential Analysis
7.3. Global Self-Healing Networks Market Estimates & Forecasts by Application 2020-2030 (USD Million)
7.4. Self-Healing Networks Market, Sub Segment Analysis
7.4.1. Network configuration and provisioning
7.4.2. Root cause analyze
7.4.3. Network equipment monitoring
7.4.4. Network traffic management
7.4.5. Smart alerting
7.4.6. Network access control
7.4.7. Others
Chapter 8. Global Self-Healing Networks Market, by End-use
8.1. Market Snapshot
8.2. Global Self-Healing Networks Market by End-use, Performance - Potential Analysis
8.3. Global Self-Healing Networks Market Estimates & Forecasts by End-use 2020-2030 (USD Million)
8.4. Self-Healing Networks Market, Sub Segment Analysis
8.4.1. IT and ITES
8.4.2. Telecom
8.4.3. Media and entertainment
8.4.4. BFSI
8.4.5. Education
8.4.6. Government and defense
8.4.7. Retail and consumer goods
8.4.8. Others
Chapter 9. Global Self-Healing Networks Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Self-Healing Networks Market, Regional Market Snapshot
9.4. North America Self-Healing Networks Market
9.4.1. U.S. Self-Healing Networks Market
9.4.1.1. Component breakdown estimates & forecasts, 2020-2030
9.4.1.2. Deployment breakdown estimates & forecasts, 2020-2030
9.4.1.3. Application breakdown estimates & forecasts, 2020-2030
9.4.1.4. End-use breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Self-Healing Networks Market
9.5. Europe Self-Healing Networks Market Snapshot
9.5.1. U.K. Self-Healing Networks Market
9.5.2. Germany Self-Healing Networks Market
9.5.3. France Self-Healing Networks Market
9.5.4. Spain Self-Healing Networks Market
9.5.5. Italy Self-Healing Networks Market
9.5.6. Rest of Europe Self-Healing Networks Market
9.6. Asia-Pacific Self-Healing Networks Market Snapshot
9.6.1. China Self-Healing Networks Market
9.6.2. India Self-Healing Networks Market
9.6.3. Japan Self-Healing Networks Market
9.6.4. Australia Self-Healing Networks Market
9.6.5. South Korea Self-Healing Networks Market
9.6.6. Rest of Asia Pacific Self-Healing Networks Market
9.7. Latin America Self-Healing Networks Market Snapshot
9.7.1. Brazil Self-Healing Networks Market
9.7.2. Mexico Self-Healing Networks Market
9.8. Middle East & Africa Self-Healing Networks Market
9.8.1. Saudi Arabia Self-Healing Networks Market
9.8.2. South Africa Self-Healing Networks Market
9.8.3. Rest of Middle East & Africa Self-Healing Networks Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Hewlett Packard Enterprise
10.3.1.1. Key Information
10.3.1.2. Overview
10.3.1.3. Financial (Subject to Data Availability)
10.3.1.4. Product Summary
10.3.1.5. Recent Developments
10.3.2. Cisco Systems, Inc
10.3.3. VMware, Inc
10.3.4. Elisa Polystar AB
10.3.5. International Business Machines Corporation
10.3.6. CommScope Holding Company, Inc
10.3.7. Fortra Technologies, Inc
10.3.8. SolarWinds Corporation
10.3.9. BMC Software, Inc
10.3.10. Zoho Corporation
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption