Self-Healing Networks Market - By Component (Solution, Service), By Deployment (On-premise, Cloud), By Application (Network Configuration and Provisioning, Root Cause Analyze, Smart Alerting, Network Access Control), By End-Use & Global Forecast, 2023-2032

Self-Healing Networks Market Size

Self-Healing Networks Market size was estimated to be more than USD 500 million in 2022 and is poised to observe over 25% CAGR from 2023 to 2032. Rapid adoption of automated technologies like network automation tools would augment industry development.
 

A self-healing network is used to resolve network issues without the involvement of humans. Advancements in technologies such as Artificial intelligence (AL)/Machine Learning (ML) have lured new innovations in self-healing networks. AI can help reduce complications of network infrastructure and improve close-down-loop automation and encrypted traffic analytics.
 

Companies are rolling out automated technologies as they are essential in protecting data-driven, software-defined, and virtualized network components. For instance, in June 2022, Elisa Polystar announced the acquisition of Cardinality Ltd. to provide AI-based programs and an automation portfolio with comprehensive data ingestion & cloud-native capabilities for network users.
 

Lack of awareness among network administrators may hinder self-healing networks market outlook

Insufficient knowledge among network administrators to distinguish the correct self-healing network solutions could become a key challenge for market growth. A myriad of self-healing network providers are offering solutions with different capabilities worldwide. Nonetheless, many organizations and SMEs lack the availability of skilled workers to manage their network infrastructure. To counter this, network administrators need to understand their network infrastructure management needs and choose the appropriate solution.
 

Self-Healing Networks Market Analysis

Self-healing networks market share from the solution component segment is anticipated to record over 25% CAGR between 2023 to 2032. A self-healing network solution is used to capture data and dependency information in snapshots. These solutions are implemented by distributed communication protocols that utilize redundant links to enhance the connectivity of network systems. It also allows network administrators to set configuration baselines and standards for continuous change tracking and detect configuration mismatches in network devices from various vendors.
 

Network configuration and provisioning application held over 15% share of the self-healing networks market in the year 2022. Self-healing networks are used in network deployment as it focuses on device and identity management as well as improve connectivity and security. The use of automated provisioning and control platform can reduce network complexity and integrate the complete provisioning process, including Dynamic Host Configuration Protocol, IP address allocation, and Domain Name System (DNS) configuration.
 

Self-healing network from the telecom end-use segment is forecasted to reach over USD 1 billion by 2032. Self-healing networks are largely used in the telecommunications sector to handle increased loads and exponential growth. Employees have shifted their patterns of work, rest, communication, and shopping into existing routines, resulting in severe strain on communication networks.
 

Companies in the telecom sector are using self-healing techniques to optimize their networks. For instance, in March 2023, HCLSoftware announced the expansion of its partnership with SolarWinds to build an end-to-end 5G network observability platform that uses the former’s Augmented Network Automation (HCL ANA) platform that automatically monitors real-time, cross-domain data to forecast, configure, and optimize hybrid networks using AI-based self-healing techniques.
 

North America self-healing market was valued at over USD 300 million in 2022 and is expected to grow during the forecast years 2023 to 2032. Prompt adoption of new and innovative technologies, exponential growth in data generated by IT & network equipment, and stringent laws and regulations regarding network data security are some of the factors that will facilitate regional market growth. Innate investments in technologies such as AI, IoT, ML, and big data should further bolster the development of self-healing networks in North America.
 

Self-Healing Networks Market Share

Global self-healing networks market contains some leading players like :

• HPE (US)
• Cisco (US)
• VMWare (US)
• Elisa Polystar (Sweden)
• IBM (US)
• CommScope (US)
• Fortra (US)
• SolarWinds (US)
• BMC Software (US)
• ManageEngine (US)
• and Ivanti.

These firms are utilizing various organic and inorganic growth strategies, such as partnerships, product launches, collaborations, and mergers and acquisitions, to expand their business presence. For instance, in October 2022, IBM Cloud Pak for Network Automation and Pliant.io announced that they will unitedly help enterprises to increase efficiency and reduce total cost of ownership. It also helps to normalize configuration and management across multiple vendors and improve network stability and security.
 

Impact of the COVID-19 pandemic

The COVID-19 pandemic changed networking sector as events like conferences & workshops moved to virtual spaces. With a focus on long-term value development, networking businesses are investing in the R&D of networking systems with self-healing capabilities. Leading networking firms have also targeted their investment for the development and testing of self-healing network solutions due to the variations in short-term business performance and financial outcomes.
 

The self-healing network market is expected to grow with the increasing adoption of artificial intelligence and machine learning, and the combination of self-technology and self-healing capabilities will create immense opportunities for self-healing network vendors worldwide.
 

The self-healing networks market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD from 2018 to 2032 for the following segments:

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By Component

• Solutions
• Services

By Deployment

• On-premises
• Cloud
  • Private
  • Public
  • Hybrid
  • Multi-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

The above information has been provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Netherlands
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • ANZ
• Latin America
  • Brazil
  • Mexico
  • Chile
• MEA
  • Saudi Arabia
  • UAE
  • South Africa