Self-healing Networks Market

Self-healing Networks Market by Component (Solutions, Services), Network Type (Public, Private, & Hybrid), Application (Network Provisioning, Network Traffic Management), Vertical (Telecom, Healthcare & Life Sciences) and Region - Global Forecast to 2027

Report Code: TC 8541 Jan, 2023, by marketsandmarkets.com

Self-Healing Networks Market - Industry Analysis, Demand & Size

The global Self-Healing Networks Market size was valued at USD 0.6 billion in 2022 and is expected to grow at a CAGR of 33.3% from 2022 to 2027. The revenue forecast for 2027 is projected to reach $2.4 billion. The base year for estimation is 2021, and the historical data spans from 2022 to 2027.

The global Self-healing Networks Market size was valued at $0.6 billion in 2022 and it is projected to reach $2.4 billion by the end of 2027, growing at a CAGR of 33.3%. Few of the factors such as rising investments in R&D and emerging self-healing technology coupled with increasing number of startups offering network automation solutions with self-healing capabilities would create immense potential opportunities for self-healing networks vendors across the globe.

Self-healing Networks Market

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Self-healing Networks Market Dynamics

Driver: Increasing adoption of automation technologies such as AI and ML integrated with self-healing

The growing complexity of network infrastructure, combined with the low latency and determinism associated with next-generation services, makes it difficult to deploy and manage networks based on traditional network management methods and static policies. Therefore, the importance and value of innovative technologies, such as AI and Machine Learning (ML), has increased. These disruptive technologies play a very crucial role in protecting highly data-driven, software-defined, and virtualized network components. AI technology is applied in the network to improve various operations, including closed-loop automation and encrypted traffic analytics. AI and ML technology innovations have made closed-loop automation possible with NFV, which is essential to the remote monitoring and management of various network edge locations and billions of connected devices. For instance, Cisco offers Cisco AI network analytics, which drives network intelligence and allows the easy management of all devices and services, prioritizes and resolves network issues, and ensures better user experience across the network. Hence the increasing advancements of such disruptive technologies such as AI and ML will drive the growth of self-healing networks in the market.

Restraints: Rising security threats across the networks

Ever-more complex cyberattacks involves malware, phishing, and cryptocurrency have placed the data and assets of corporations, governments and individuals at continual threat. Also, networks are the key enabler for the enterprise, they are also a source of complete hazard. However, increasing connected devices leads to greater risk which affectIoT networks more vulnerable to cyber attacks.. IoT devices which is controlled by hackers can be used to create disaster, overload networks and lock down essential equipment for financial gain. . According to the Cisco Annual Internet Report, 2018-2023, there were a total of 1,272 breaches, with a total of nearly 163 million records exposed as of November 2019. Further, not all network engineers are completely trained in defending these attacks due to which they may pose threats in securing networks and may restraints the self-healing market.

Opportunity: Rising investments in R&D and emerging self-healing technology

Networking companies are heavily investing in the R&D of networking solutions with self-healing capabilities, with a focus on long-term value creation. Based on the fluctuations in short-term business performance and financial results, leading networking companies have not reduced their investment for the innovation and testing of self-healing networks solutions. For instance, Forta offers Intermapper's network monitoring software helps users create a network map, giving the user a live view of what's happening on the network. This tool will be able to find and fix technology issues before users or customers are impacted. Networking companies are also coming up with “Ethernet fabrics.” Ethernet fabric is a network topology that enhances the performance, utilization, availability, and simplicity required to meet the networking requirement of modern virtual data centers. These continuous investments and positive outcomes are expected to further fuel the growth of the self-healing networks in the market.

Challenge: Lack of awareness among network administrators

Self-healing networks solutions, with varied features and functionalities, are being offered by numerous vendors across the globe. Network admins need to understand their requirements to manage the network infrastructure and chose the appropriate solution. In the world of convergence, technology has been changing rapidly in the business system. Most of the network administrators are reluctant to modify the SOPs and are hesitant in automating their networks and upgrade self-healing capabilities. Therefore, solution providers need to offer updated training and education services to network admins, so that they can gain more insights from unstructured network data. Many organizations, especially SMEs, do not have enough skilled workforce to manage the network infrastructure. Hence, the lack of awareness among network admins to distinguish between precise self-healing networks solutions pose a key challenge for the growth of the self-healing networks market.

Services segment to register the higher growth rate during the forecast period

Based on services, the self-healing networks market is segmented into managed and professional services. Increasing adoption of self-healing networks services by enterprises to help deploy a proper platform to run and support their applications rather than investing in the software leads to a higher demands for services. Managed services are completely provided by the third-party vendor and offer clients on-time conveyance.

Cloud segment to register the larger market size during the forecast period

Vendors in the self-healing networks market offer on-premises and cloud-based deployment mode. The deployment mode is primarily dependent on the financial stability and IT infrastructure of the organizations deploying self-healing networks solution. Cloud deployment mode to hold the larger market size in the market. Cloud as a service is not only enabling organizations to manage their costs but also support businesses in ensuring improved business agility. Cloud-based solutions enables fast and secure network configuration by leveraging cloud computing capabilities. Moreover, the cloud deployment model scales a solution’s capacity to handle enormous network application traffic.

North America to have the largest self-healing networks market size during the forecast period

The major countries covered in North America are the US and Canada. The North American region, being the primary adopter of self-healing networks technology, is the major revenue-generating region in the global self-healing networks market. Moreover, it is a well-established economy, witnessing large-scale investments in digitalized IT infrastructure. The North American region has been extremely open toward adopting new and innovative technologies and is expected to provide market growth opportunities to self-healing networks vendors, as it is expected to witness an exponential growth of IT and network device-based generated data and stringent laws and policies for safeguarding the network data. Investment in various technologies such as AI, IoT, ML and big data would boost the growth of the self-healing networks in the market.

Self-healing Networks Market Size, and Share

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Key Market Players

The self-healing networks solution and service providers have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Some major players in the Self-healing networks market include Fortra (US), VMWare (US), IBM (US), CommScope (US), SolarWinds (US), ManageEngine (US), BMC Software (US), Elisa Polystar (Sweden), HPE (US), Cisco (US), Ivanti (US), Easyvista (France), Huawei (China), ACT (India), Ericsson (Sweden), Nokia (US), Anuta Networks (US), Juniper (US), Bluecat (Canada), Park Place Technologies (US), Appnomic (India), Versa Networks (US), Parallel Wireless (US), Itential (US), Kentik (US), Domotz (US), and Beegol (Brazil).

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Scope of the Report

Report Metrics

Details

Market size value in 2022

USD 0.6 Billion

Revenue forecast by 2027

USD 2.4 Billion

Growth Rate (CAGR)

CAGR of 33.3% from 2022 to 2027

Market size available for years

2019-2027

Base year considered

2021

Forecast period

2022-2027

Forecast units

USD (Million/Billion)

Segments covered

Component, Network Type, Organization Size, Deployment Mode, Application, Vertical and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East and Africa, and Latin America

Companies covered

Fortra (US), VMWare (US), IBM (US), CommScope (US), SolarWinds (US), ManageEngine (US), BMC Software (US), Elisa Polystar (Sweden), HPE (US), Cisco (US), Ivanti (US), Easyvista (France), Huawei (China), ACT (India), Ericsson (Sweden), Nokia (US), Anuta Networks (US), Juniper (US), Bluecat (Canada), Park Place Technologies (US), Appnomic (India), Versa Networks (US), Parallel Wireless (US), Itential (US), Kentik (US), Domotz (US), and Beegol (Brazil).

This research report categorizes the self-healing networks market based on component, network type, organization size, deployment mode, application, vertical, and region.

By Component:
  • Solutions
    • Network Automation Software
    • Intent-based Networking Tools
    • Network Monitoring Tools
    • Other Solutions
  • Services
    • Professional Services
    • Managed Services
By Network Type:
  • Physical
  • Virtual
  • Hybrid
By Organization Size:
  • Large Enterprises
  • SMEs
By Deployment Mode:
  • On-premises
  • Cloud
By Applications:
  • Network Provisioning
  • Network Bandwidth Monitoring
  • Policy Management
  • Security Compliance Management
  • Root Cause Analysis
  • Network Traffic Management
  • Network Access Control
  • Other Applications
By Verticals:
  • IT and ITES
  • BFSI
  • Media and Entertainment
  • Healthcare and Life Sciences
  • Telecom
  • Retail and Consumer Goods
  • Education
  • Other Verticals
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • India
    • Japan
    • China
    • Rest of Asia Pacific
  • Middle East and Africa
    • United Arab Emirates (UAE)
    • Saudi Arabia
    • South Africa
    • Rest of Middle East and Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In November 2022, SolarWinds Corporation, a leading provider of simple, powerful, and secure IT management software, and DRYiCE, a division of HCL Software focused on humanizing enterprise application of AI, announced its intended expansion of their partnership aimed at revolutionizing IT operations for enterprises. The expanded partnership will focus on bringing together the best-in-class advanced AIOps, end-to-end observability, and service management platform from both companies.
  • In October 2022, IBM Cloud Pak for Network Automation, in collaboration with Pliant.io, helps organizations increase their efficiency, lower overall operational costs, normalize configuration and management across many vendors and ensure network stability and security. By tapping IBM Cloud Pak for Network Automation with Pliant’s workflow engine and API gateway capabilities, enterprises can improve service delivery speed, prevent vendor lock-in and extend and expand an organization's integration capability—all while ensuring network remains in its desired state.
  • In June 2022, Elisa Polystar acquires Cardinality Ltd, a UK-based supplier of cloud-native data management (DataOps), service assurance and customer experience analytics for communications service providers (CSPs) globally. By combining with Cardinality, Elisa Polystar will have stronger data management, AI-driven analytics and automation portfolio with comprehensive data ingestion and cloud-native capabilities enabling simultaneous top-and bottom-line improvements for network operators.
  • In January 2021, Fortra acquired FileCatalyst, a leader in enterprise file transfer acceleration to continue expansion of Cybersecurity and Automation Portfolio. FileCatalyst enables organizations working with extremely large files to optimize and transfer information swiftly and securely across global networks. This can be particularly beneficial in industries such as broadcast media and live sports.
  • In October 2020, VMware announced its acquisition of SaltStack, a pioneer in building intelligent, event-driven automation software, that helps customers to automate ITOps, DevOps, NetOps or SecOps functions. With the acquisition of SaltStack, VMware has broadened its automation capabilities including software configuration management, network automation, and infrastructure automation.
  • In July 2020, HPE announced its acquisition of Silver Peak, a software-defined wide area network (SD-WAN) platform provider, which got incorporated into its Aruba Networks subsidiary.

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 40)
    1.1 OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
    1.5 STAKEHOLDERS 
 
2 RESEARCH METHODOLOGY (Page No. - 45)
    2.1 RESEARCH DATA 
           FIGURE 1 SELF-HEALING NETWORKS MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Primary interviews
                    2.1.2.2 Breakup of primary profiles
                    2.1.2.3 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION 
           FIGURE 2 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 SELF-HEALING NETWORKS MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE FROM SOLUTIONS/SERVICES OF MARKET
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY- APPROACH 2, BOTTOM UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF MARKET
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF MARKET
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 4, BOTTOM UP (DEMAND SIDE): SHARE OF SELF-HEALING NETWORKS THROUGH OVERALL SELF-HEALING NETWORKS SPENDING
    2.4 MARKET FORECAST 
           TABLE 1 FACTOR ANALYSIS
    2.5 COMPANY EVALUATION MATRIX METHODOLOGY 
           FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY 
           FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.7 ASSUMPTIONS 
    2.8 LIMITATIONS 
 
3 EXECUTIVE SUMMARY (Page No. - 58)
    TABLE 2 GLOBAL SELF-HEALING NETWORKS MARKET AND GROWTH RATE, 2019–2021 (USD MILLION, Y-O-Y %) 
    TABLE 3 GLOBAL MARKET AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y %) 
    FIGURE 10 SOLUTIONS SEGMENT TO DOMINATE MARKET IN 2022 
    FIGURE 11 PROFESSIONAL SERVICES TO HOLD LARGER MARKET SHARE IN 2022 
    FIGURE 12 TRAINING & CONSULTING SEGMENT TO LEAD MARKET IN 2022 
    FIGURE 13 NETWORK AUTOMATION SOFTWARE SEGMENT TO HOLD LARGEST MARKET SHARE IN 2022 
    FIGURE 14 NETWORK PROVISIONING TO DOMINATE APPLICATION SEGMENT IN 2022 
    FIGURE 15 PHYSICAL NETWORK TYPE SEGMENT TO DOMINATE MARKET IN 2022 
    FIGURE 16 LARGE ENTERPRISES TO DOMINATE MARKET IN 2022 
    FIGURE 17 CLOUD SEGMENT TO HOLD LARGEST MARKET IN 2022 
    FIGURE 18 HEALTHCARE AND LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR IN 2022 
    FIGURE 19 NORTH AMERICA TO HOLD LARGEST MARKET SHARE AND ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST YEAR 
 
4 PREMIUM INSIGHTS (Page No. - 64)
    4.1 ATTRACTIVE OPPORTUNITIES IN SELF-HEALING NETWORKS MARKET 
           FIGURE 20 RISING NEED TO MANAGE NETWORK TRAFFIC TO REDUCE NETWORK DOWNTIME
    4.2 MARKET: TOP THREE APPLICATIONS 
           FIGURE 21 NETWORK TRAFFIC MANAGEMENT SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    4.3 NORTH AMERICA: MARKET, BY COMPONENT AND TOP THREE VERTICALS 
           FIGURE 22 SOLUTIONS SEGMENT AND TELECOM SEGMENT TO HOLD LARGEST MARKET SHARE IN NORTH AMERICA IN 2022
    4.4 MARKET: BY REGION 
           FIGURE 23 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2022
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 66)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 24 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: SELF-HEALING NETWORKS MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Rising need to control and manage network traffic
                    5.2.1.2 Increasing adoption of automation technologies such as AI and ML
                    5.2.1.3 Surge in human error rates in manual systems to cause network downtime
           5.2.2 RESTRAINTS
                    5.2.2.1 Rising security threats across networks
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Rising investments in R&D and emerging self-healing technologies
                    5.2.3.2 Increasing number of startups to offer networking solutions with self-healing capabilities
           5.2.4 CHALLENGES
                    5.2.4.1 Lack of awareness among network administrators
    5.3 EVOLUTION 
           FIGURE 25 EVOLUTION: SELF-HEALING NETWORKS MARKET
    5.4 MARKET: ECOSYSTEM 
           TABLE 4 MARKET: ECOSYSTEM
    5.5 CASE STUDY ANALYSIS 
           5.5.1 MEDIA AND ENTERTAINMENT
                    5.5.1.1 Juniper offers AI-driven proactive automation and self-healing capabilities to JoongAng
                    5.5.1.2 SolarWinds enables Springer Nature to unify monitoring solutions
           5.5.2 TELECOM
                    5.5.2.1 Anuta Networks helps Tata Communication Ltd. to improve self-service capabilities
                    5.5.2.2 Elisa Polystar enables Deri to automate operations for radio access network
           5.5.3 ENERGY AND UTILITY
                    5.5.3.1 IBM helps Austin Energy to develop Intelligent Utility Network
           5.5.4 MANUFACTURING
                    5.5.4.1 Entuity Analytics Network helps Grundfos Pumps to streamline and automate configuration management processes
           5.5.5 BFSI
                    5.5.5.1 BMC software helped Sichuan Rural Credit Union and Cooperative Bank to replace manual IT service management processes
           5.5.6 HEALTHCARE AND LIFE SCIENCES
                    5.5.6.1 VMware helps Northeast Georgia Health System to deliver prompt and effective patient care
    5.6 TECHNOLOGY ANALYSIS 
           5.6.1 SELF-HEALING NETWORKS AND 5G LAN
           5.6.2 SELF-HEALING NETWORKS, ARTIFICIAL INTELLIGENCE (AI), AND MACHINE LEARNING (ML)
           5.6.3 SELF-HEALING NETWORKS AND CLOUD COMPUTING
           5.6.4 SELF-HEALING NETWORKS AND BLOCKCHAIN
           5.6.5 SELF-HEALING NETWORKS AND INTERNET OF THINGS (IOT)
    5.7 PORTER’S FIVE FORCES ANALYSIS 
           FIGURE 26 SELF-HEALING NETWORKS: PORTER’S FIVE FORCES ANALYSIS
           TABLE 5 SELF-HEALING NETWORKS MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.7.1 THREAT OF NEW ENTRANTS
           5.7.2 THREAT OF SUBSTITUTES
           5.7.3 BARGAINING POWER OF SUPPLIERS
           5.7.4 BARGAINING POWER OF BUYERS
           5.7.5 INTENSITY OF COMPETITIVE RIVALRY
    5.8 REGULATORY LANDSCAPE 
           5.8.1 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT (HIPAA)
           5.8.2 GENERAL DATA PROTECTION REGULATION (GDPR)
           5.8.3 GRAMM–LEACH–BLILEY ACT (GLBA)
           5.8.4 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION STANDARD 27001
           5.8.5 HEALTH LEVEL SEVEN INTERNATIONAL (HL7)
           5.8.6 COMMUNICATIONS DECENCY ACT
    5.9 PRICING MODEL ANALYSIS 
           TABLE 6 PRICING ANALYSIS
    5.10 PATENT ANALYSIS 
           5.10.1 METHODOLOGY
           5.10.2 DOCUMENT TYPE
                    TABLE 7 PATENTS FILED, 2019–2021
           5.10.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 27 TOTAL NUMBER OF PATENTS GRANTED, 2019–2021
                    5.10.3.1 Top applicants
                               FIGURE 28 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2019–2021
                               TABLE 8 TOP 10 PATENT OWNERS (US) IN SELF-HEALING NETWORKS MARKET, 2019–2021
    5.11 KEY CONFERENCES AND EVENTS, 2022–2023 
                    TABLE 9 MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2022–2023
    5.12 TARIFF AND REGULATORY LANDSCAPE 
           5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 10 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 11 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 12 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 13 MIDDLE EAST AND AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 14 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    5.13 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF MARKET 
                    FIGURE 29 SELF-HEALING NETWORKS MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
    5.14 KEY STAKEHOLDERS & BUYING CRITERIA 
           5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 30 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
                    TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
           5.14.2 BUYING CRITERIA
                    FIGURE 31 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
                    TABLE 16 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
 
6 SELF-HEALING NETWORKS MARKET, BY COMPONENT (Page No. - 91)
    6.1 INTRODUCTION 
           6.1.1 COMPONENT: MARKET DRIVERS
                    FIGURE 32 SERVICES SEGMENT TO EXHIBIT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 17 MARKET, BY COMPONENT, 2019–2021 (USD MILLION)
                    TABLE 18 MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
    6.2 SOLUTIONS 
           FIGURE 33 NETWORK MONITORING TOOLS SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
           TABLE 19 MARKET, BY SOLUTION, 2019–2021 (USD MILLION)
           TABLE 20 MARKET, BY SOLUTION, 2022–2027 (USD MILLION)
           TABLE 21 SELF-HEALING NETWORKS SOLUTIONS MARKET, BY REGION, 2019–2021 (USD MILLION)
           TABLE 22 SELF-HEALING NETWORKS SOLUTIONS MARKET, BY REGION, 2022–2027 (USD MILLION)
           6.2.1 NETWORK MONITORING TOOLS
                    6.2.1.1 Tools to enable network administrators to monitor and diagnose problems
                               TABLE 23 NETWORK MONITORING TOOLS: SELF-HEALING NETWORKS MARKET, BY REGION, 2019–2021 (USD MILLION)
                               TABLE 24 NETWORK MONITORING TOOLS: MARKET, BY REGION, 2022–2027 (USD MILLION)
           6.2.2 NETWORK AUTOMATION SOFTWARE
                    6.2.2.1 Software to reduce cost of network maintenance
                               TABLE 25 NETWORK AUTOMATION SOFTWARE: MARKET, BY REGION, 2019–2021 (USD MILLION)
                               TABLE 26 NETWORK AUTOMATION SOFTWARE: MARKET, BY REGION, 2022–2027 (USD MILLION)
           6.2.3 INTENT-BASED NETWORKING SOFTWARE
                    6.2.3.1 Networking software to increase operational efficiency
                               TABLE 27 INTENT-BASED NETWORKING SOFTWARE: MARKET, BY REGION, 2019–2021 (USD MILLION)
                               TABLE 28 INTENT-BASED NETWORKING SOFTWARE: MARKET, BY REGION, 2022–2027 (USD MILLION)
           6.2.4 OTHER SOLUTIONS
                    TABLE 29 OTHER SOLUTIONS: MARKET, BY REGION, 2019–2021 (USD MILLION)
                    TABLE 30 OTHER SOLUTIONS: MARKET, BY REGION, 2022–2027 (USD MILLION)
    6.3 SERVICES 
           FIGURE 34 MANAGED SERVICES SEGMENT TO EXHIBIT HIGHER CAGR DURING FORECAST PERIOD
           TABLE 31 SELF-HEALING NETWORKS MARKET, BY SERVICE, 2019–2021 (USD MILLION)
           TABLE 32 MARKET, BY SERVICE, 2022–2027 (USD MILLION)
           TABLE 33 SELF-HEALING NETWORKS SERVICE MARKET, BY REGION, 2019–2021 (USD MILLION)
           TABLE 34 SELF-HEALING NETWORKS SERVICE MARKET, BY REGION, 2022–2027 (USD MILLION)
           6.3.1 PROFESSIONAL SERVICES
                    FIGURE 35 SYSTEM INTEGRATION & TESTING SERVICES SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 35 MARKET, BY PROFESSIONAL SERVICE, 2019–2021 (USD MILLION)
                    TABLE 36 MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                    TABLE 37 PROFESSIONAL SERVICE: MARKET, BY REGION, 2019–2021 (USD MILLION)
                    TABLE 38 PROFESSIONAL SERVICE: MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.3.1.1 Training and Consulting
                               6.3.1.1.1 Enhancement of network efficiency and performance
                               TABLE 39 TRAINING AND CONSULTING: MARKET, BY REGION, 2019–2021 (USD MILLION)
                               TABLE 40 TRAINING AND CONSULTING: MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.3.1.2 Support and Maintenance
                               6.3.1.2.1 Troubleshooting and upgrades to enable clients to update network ecosystem
                               TABLE 41 SUPPORT AND MAINTENANCE: MARKET, BY REGION, 2019–2021 (USD MILLION)
                               TABLE 42 SUPPORT AND MAINTENANCE: MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.3.1.3 System Integration and Testing
                               6.3.1.3.1 Avoid complexities involved while deploying self-healing networks solutions
                               TABLE 43 SYSTEM INTEGRATION AND TESTING: SELF-HEALING NETWORKS MARKET, BY REGION, 2019–2021 (USD MILLION)
                               TABLE 44 SYSTEM INTEGRATION AND TESTING: MARKET, BY REGION, 2022–2027 (USD MILLION)
           6.3.2 MANAGED SERVICES
                    6.3.2.1 Services to fulfill pre- and post-deployment needs
                               TABLE 45 MANAGED SERVICES: MARKET, BY REGION, 2019–2021 (USD MILLION)
                               TABLE 46 MANAGED SERVICES: MARKET, BY REGION, 2022–2027 (USD MILLION)
 
7 SELF-HEALING NETWORKS MARKET, BY NETWORK TYPE (Page No. - 108)
    7.1 INTRODUCTION 
           7.1.1 NETWORK TYPE: MARKET DRIVERS
                    FIGURE 36 VIRTUAL SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 47 MARKET, BY NETWORK TYPE, 2019–2021 (USD MILLION)
                    TABLE 48 MARKET, BY NETWORK TYPE, 2022–2027 (USD MILLION)
    7.2 PHYSICAL 
           7.2.1 PHYSICAL NETWORK TO PROVIDE ACCESS TO CENTRALIZED MODEL
                    TABLE 49 PHYSICAL: MARKET, BY REGION, 2019–2021 (USD MILLION)
                    TABLE 50 PHYSICAL: MARKET, BY REGION, 2022–2027 (USD MILLION)
    7.3 VIRTUAL 
           7.3.1 CLOUD-BASED SERVICES ENABLE BUSINESSES TO MANAGE AND CONFIGURE VIRTUAL NETWORKS
                    TABLE 51 VIRTUAL: MARKET, BY REGION, 2019–2021 (USD MILLION)
                    TABLE 52 VIRTUAL: MARKET, BY REGION, 2022–2027 (USD MILLION)
    7.4 HYBRID 
           7.4.1 HYBRID NETWORK TO COMBINE VIRTUAL AND PHYSICAL NETWORK INFRASTRUCTURE
                    TABLE 53 HYBRID: MARKET, BY REGION, 2019–2021 (USD MILLION)
                    TABLE 54 HYBRID: MARKET, BY REGION, 2022–2027 (USD MILLION)
 
8 SELF-HEALING NETWORKS MARKET, BY DEPLOYMENT MODE (Page No. - 114)
    8.1 INTRODUCTION 
           8.1.1 DEPLOYMENT MODE: MARKET DRIVERS
                    FIGURE 37 ON-PREMISES SEGMENT TO EXHIBIT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 55 MARKET, BY DEPLOYMENT MODE, 2019–2021 (USD MILLION)
                    TABLE 56 MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
    8.2 ON-PREMISES 
           8.2.1 BUSINESSES TO EMBRACE ON-PREMISES SELF-HEALING NETWORKS SOLUTIONS DUE TO SECURITY CONCERNS
                    TABLE 57 ON-PREMISES: MARKET, BY REGION, 2019–2021 (USD MILLION)
                    TABLE 58 ON-PREMISES: MARKET, BY REGION, 2022–2027 (USD MILLION)
    8.3 CLOUD 
           8.3.1 QUICK AND SECURE NETWORK CONFIGURATION TO OFFER BUSINESS AGILITY AND COST MANAGEMENT
                    TABLE 59 CLOUD: MARKET, BY REGION, 2019–2021 (USD MILLION)
                    TABLE 60 CLOUD: MARKET, BY REGION, 2022–2027 (USD MILLION)
 
9 SELF-HEALING NETWORKS MARKET, BY ORGANIZATION SIZE (Page No. - 119)
    9.1 INTRODUCTION 
           9.1.1 ORGANIZATION SIZE: SELF-HEALING NETWORKS SYSTEM MARKET DRIVERS
                    FIGURE 38 SMALL AND MEDIUM-SIZED ENTERPRISES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 61 MARKET, BY ORGANIZATION SIZE, 2019–2021 (USD MILLION)
                    TABLE 62 MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
    9.2 LARGE ENTERPRISES 
           9.2.1 BENEFITS OF NETWORK INFRASTRUCTURE OPTIMIZATION AND LOW OPERATIONAL COSTS
                    TABLE 63 MARKET, BY REGION, 2019–2021 (USD MILLION)
                    TABLE 64 MARKET, BY REGION, 2022–2027 (USD MILLION)
    9.3 SMALL AND MEDIUM-SIZED ENTERPRISES 
           9.3.1 INTEGRATION OF CUTTING-EDGE TECHNOLOGIES TO DRIVE ADOPTION OF SELF-HEALING NETWORKS
                    TABLE 65 SMALL AND MEDIUM-SIZED ENTERPRISES MARKET, BY REGION, 2019–2021 (USD MILLION)
                    TABLE 66 SMALL AND MEDIUM-SIZED ENTERPRISES MARKET, BY REGION, 2022–2027 (USD MILLION)
 
10 SELF-HEALING NETWORKS MARKET, BY APPLICATION (Page No. - 124)
     10.1 INTRODUCTION 
             10.1.1 APPLICATION: MARKET DRIVERS
                       FIGURE 39 NETWORK TRAFFIC MANAGEMENT SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 67 MARKET, BY APPLICATION, 2019–2021 (USD MILLION)
                       TABLE 68 MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
     10.2 NETWORK PROVISIONING 
             10.2.1 SELF-HEALING NETWORKS TOOLS TO MONITOR AND ENHANCE NETWORK OPTIMIZATION
                       TABLE 69 NETWORK PROVISIONING: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 70 NETWORK PROVISIONING: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.3 NETWORK BANDWIDTH MONITORING 
             10.3.1 BANDWIDTH MONITOR TO SUPPORT REAL-TIME BANDWIDTH ANALYSIS AND DATA COLLECTION
                       TABLE 71 NETWORK BANDWIDTH MONITORING: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 72 NETWORK BANDWIDTH MONITORING: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.4 POLICY MANAGEMENT 
             10.4.1 SELF-HEALING NETWORKS TO REDUCE SECURITY RISKS
                       TABLE 73 POLICY MANAGEMENT: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 74 POLICY MANAGEMENT: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.5 SECURITY COMPLIANCE MANAGEMENT 
             10.5.1 SELF-HEALING NETWORKS TO DETECT ANOMALOUS BEHAVIOR IN APPLICATION PERFORMANCE AND SECURITY
                       TABLE 75 SECURITY COMPLIANCE MANAGEMENT: SELF-HEALING NETWORKS MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 76 SECURITY COMPLIANCE MANAGEMENT: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.6 ROOT CAUSE ANALYSIS 
             10.6.1 SELF-HEALING NETWORKS TO MAXIMIZE RETURN ON INVESTMENT (ROI)
                       TABLE 77 ROOT CAUSE ANALYSIS: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 78 ROOT CAUSE ANALYSIS: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.7 NETWORK TRAFFIC MANAGEMENT 
             10.7.1 SELF-HEALING NETWORKS TO MONITOR TRAFFIC PATTERNS TO DETECT AND PREVENT BOTTLENECKS
                       TABLE 79 NETWORK TRAFFIC MANAGEMENT: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 80 NETWORK TRAFFIC MANAGEMENT: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.8 NETWORK ACCESS CONTROL 
             10.8.1 NETWORK ACCESS CONTROL TO PREVENT UNAUTHORIZED ACCESS TO DATA
                       TABLE 81 NETWORK ACCESS CONTROL: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 82 NETWORK ACCESS CONTROL: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.9 OTHER APPLICATIONS 
               TABLE 83 OTHER APPLICATIONS: MARKET, BY APPLICATION, 2019–2021 (USD MILLION)
               TABLE 84 OTHER APPLICATIONS: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
 
11 SELF-HEALING NETWORKS MARKET, BY VERTICAL (Page No. - 135)
     11.1 INTRODUCTION 
             11.1.1 VERTICAL: MARKET DRIVERS
                       FIGURE 40 HEALTHCARE AND LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 85 MARKET, BY VERTICAL, 2019–2021 (USD MILLION)
                       TABLE 86 MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
     11.2 IT AND ITES 
             11.2.1 SELF-HEALING CAPABILITIES MAKE IT ECOSYSTEMS MORE RELIABLE
                       TABLE 87 IT AND ITES: SELF-HEALING NETWORKS MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 88 IT AND ITES: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.3 BFSI 
             11.3.1 NEW GENERATION NETWORKS TO IMPROVE DIGITAL BUSINESS RESILIENCY
                       TABLE 89 BFSI: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 90 BFSI: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.4 HEALTHCARE AND LIFE SCIENCES 
             11.4.1 SELF-HEALING NETWORKS TO DELIVER ACCURATE AND LOGICAL DIAGNOSIS
                       TABLE 91 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 92 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.5 MEDIA AND ENTERTAINMENT 
             11.5.1 SELF-HEALING NETWORKS SOLUTION REDUCE OPEX AND INCREASE BANDWIDTH
                       TABLE 93 MEDIA AND ENTERTAINMENT: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 94 MEDIA AND ENTERTAINMENT: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.6 TELECOM 
             11.6.1 SELF-HEALING NETWORKS TO IDENTIFY AND RECTIFY POTENTIAL FAULTS
                       TABLE 95 TELECOM: SELF-HEALING NETWORKS MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 96 TELECOM: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.7 RETAIL AND CONSUMER GOODS 
             11.7.1 SELF-HEALING NETWORKS TO PROVIDE RETAILERS GREAT IN-STORE USER EXPERIENCE
                       TABLE 97 RETAIL AND CONSUMER GOODS: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 98 RETAIL AND CONSUMER GOODS: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.8 EDUCATION 
             11.8.1 SELF-HEALING NETWORKS TO ENHANCE ASSESSMENTS AND IMPROVE STUDENT ENGAGEMENT
                       TABLE 99 EDUCATION: MARKET, BY REGION, 2019–2021 (USD MILLION)
                       TABLE 100 EDUCATION: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.9 OTHER VERTICALS 
               TABLE 101 OTHER VERTICALS: MARKET, BY REGION, 2019–2021 (USD MILLION)
               TABLE 102 OTHER VERTICALS: MARKET, BY REGION, 2022–2027 (USD MILLION)
 
12 MARKET, BY REGION (Page No. - 147)
     12.1 INTRODUCTION 
               FIGURE 41 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               FIGURE 42 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 103 MARKET, BY REGION, 2019–2021 (USD MILLION)
               TABLE 104 MARKET, BY REGION, 2022–2027 (USD MILLION)
     12.2 NORTH AMERICA 
             12.2.1 NORTH AMERICA: RECESSION IMPACT
             12.2.2 NORTH AMERICA: SELF-HEALING NETWORKS MARKET DRIVERS
                       FIGURE 43 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 105 NORTH AMERICA: MARKET, BY COMPONENT, 2019–2021 (USD MILLION)
                       TABLE 106 NORTH AMERICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 107 NORTH AMERICA: MARKET, BY SERVICE, 2019–2021 (USD MILLION)
                       TABLE 108 NORTH AMERICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                       TABLE 109 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2021 (USD MILLION)
                       TABLE 110 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                       TABLE 111 NORTH AMERICA: MARKET, BY SOLUTION, 2019–2021 (USD MILLION)
                       TABLE 112 NORTH AMERICA: MARKET, BY SOLUTION, 2022–2027 (USD MILLION)
                       TABLE 113 NORTH SELF-HEALING NETWORKS AMERICA: MARKET, BY NETWORK TYPE, 2019–2021 (USD MILLION)
                       TABLE 114 NORTH AMERICA: MARKET, BY NETWORK TYPE, 2022–2027 (USD MILLION)
                       TABLE 115 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2021 (USD MILLION)
                       TABLE 116 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       TABLE 117 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2021 (USD MILLION)
                       TABLE 118 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       TABLE 119 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2021 (USD MILLION)
                       TABLE 120 NORTH AMERICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       TABLE 121 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2021 (USD MILLION)
                       TABLE 122 NORTH AMERICA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                       TABLE 123 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2021 (USD MILLION)
                       TABLE 124 NORTH AMERICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             12.2.3 US
                       12.2.3.1 Technological awareness and presence of several network providers to drive market
             12.2.4 CANADA
                       12.2.4.1 Threats against network infrastructure to drive adoption of self-healing networks
     12.3 EUROPE 
             12.3.1 EUROPE: RECESSION IMPACT
             12.3.2 EUROPE: MARKET DRIVERS
                       TABLE 125 EUROPE: SELF-HEALING NETWORKS MARKET, BY COMPONENT, 2019–2021 (USD MILLION)
                       TABLE 126 EUROPE: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 127 EUROPE: MARKET, BY SERVICE, 2019–2021 (USD MILLION)
                       TABLE 128 EUROPE: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                       TABLE 129 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2021 (USD MILLION)
                       TABLE 130 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                       TABLE 131 EUROPE: MARKET, BY SOLUTION, 2019–2021 (USD MILLION)
                       TABLE 132 EUROPE: MARKET, BY SOLUTION, 2022–2027 (USD MILLION)
                       TABLE 133 EUROPE: MARKET, BY NETWORK TYPE, 2019–2021 (USD MILLION)
                       TABLE 134 EUROPE: MARKET, BY NETWORK TYPE, 2022–2027 (USD MILLION)
                       TABLE 135 EUROPE: SELF-HEALING NETWORKS MARKET, BY DEPLOYMENT MODE, 2019–2021 (USD MILLION)
                       TABLE 136 EUROPE: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       TABLE 137 EUROPE: MARKET, BY ORGANIZATION SIZE, 2019–2021 (USD MILLION)
                       TABLE 138 EUROPE: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       TABLE 139 EUROPE: MARKET, BY VERTICAL, 2019–2021 (USD MILLION)
                       TABLE 140 EUROPE: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       TABLE 141 EUROPE: MARKET, BY APPLICATION, 2019–2021 (USD MILLION)
                       TABLE 142 EUROPE: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                       TABLE 143 EUROPE: MARKET, BY COUNTRY, 2019–2021 (USD MILLION)
                       TABLE 144 EUROPE: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             12.3.3 UK
                       12.3.3.1 Growing demand for comprehensive technologies to manage network infrastructure
             12.3.4 GERMANY
                       12.3.4.1 Positive business environment to boost adoption of self-healing networks
             12.3.5 FRANCE
                       12.3.5.1 Technically competent end consumers to utilize self-healing networks
             12.3.6 REST OF EUROPE
     12.4 ASIA PACIFIC 
             12.4.1 ASIA PACIFIC: RECESSION IMPACT
             12.4.2 ASIA PACIFIC: MARKET DRIVERS
                       FIGURE 44 ASIA PACIFIC: SELF-HEALING NETWORKS MARKET SNAPSHOT
                       TABLE 145 ASIA PACIFIC: MARKET, BY COMPONENT, 2019–2021 (USD MILLION)
                       TABLE 146 ASIA PACIFIC: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 147 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2021 (USD MILLION)
                       TABLE 148 ASIA PACIFIC: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                       TABLE 149 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2021 (USD MILLION)
                       TABLE 150 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                       TABLE 151 ASIA PACIFIC: MARKET, BY SOLUTION, 2019–2021 (USD MILLION)
                       TABLE 152 ASIA PACIFIC: MARKET, BY SOLUTION, 2022–2027 (USD MILLION)
                       TABLE 153 ASIA PACIFIC: MARKET, BY NETWORK TYPE, 2019–2021 (USD MILLION)
                       TABLE 154 ASIA PACIFIC: SELF-HEALING NETWORKS MARKET, BY NETWORK TYPE, 2022–2027 (USD MILLION)
                       TABLE 155 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2019–2021 (USD MILLION)
                       TABLE 156 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       TABLE 157 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2019–2021 (USD MILLION)
                       TABLE 158 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       TABLE 159 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2021 (USD MILLION)
                       TABLE 160 ASIA PACIFIC: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       TABLE 161 ASIA PACIFIC: MARKET, BY APPLICATION, 2019–2021 (USD MILLION)
                       TABLE 162 ASIA PACIFIC: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                       TABLE 163 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2021 (USD MILLION)
                       TABLE 164 ASIA PACIFIC: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             12.4.3 CHINA
                       12.4.3.1 Initiatives taken by government and private players to raise demand for self-healing networks
             12.4.4 JAPAN
                       12.4.4.1 Presence of highly efficient and competitive companies to drive demand for self-healing networks
             12.4.5 INDIA
                       12.4.5.1 Growing penetration of cutting-edge technologies to drive market growth
             12.4.6 REST OF ASIA PACIFIC
     12.5 MIDDLE EAST AND AFRICA 
             12.5.1 MIDDLE EAST AND AFRICA: RECESSION IMPACT
             12.5.2 MIDDLE EAST AND AFRICA: MARKET DRIVERS
                       TABLE 165 MIDDLE EAST AND AFRICA: SELF-HEALING NETWORKS MARKET, BY COMPONENT, 2019–2021 (USD MILLION)
                       TABLE 166 MIDDLE EAST AND AFRICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 167 MIDDLE EAST AND AFRICA: MARKET, BY SERVICE, 2019–2021 (USD MILLION)
                       TABLE 168 MIDDLE EAST AND AFRICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                       TABLE 169 MIDDLE EAST AND AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2021 (USD MILLION)
                       TABLE 170 MIDDLE EAST AND AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                       TABLE 171 MIDDLE EAST AND AFRICA: MARKET, BY SOLUTION, 2019–2021 (USD MILLION)
                       TABLE 172 MIDDLE EAST AND AFRICA: MARKET, BY SOLUTION, 2022–2027 (USD MILLION)
                       TABLE 173 MIDDLE EAST AND AFRICA: MARKET, BY NETWORK TYPE, 2019–2021 (USD MILLION)
                       TABLE 174 MIDDLE EAST AND AFRICA: SELF-HEALING NETWORKS MARKET, BY NETWORK TYPE, 2022–2027 (USD MILLION)
                       TABLE 175 MIDDLE EAST AND AFRICA: MARKET, BY DEPLOYMENT MODE, 2019–2021 (USD MILLION)
                       TABLE 176 MIDDLE EAST AND AFRICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       TABLE 177 MIDDLE EAST AND AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2021 (USD MILLION)
                       TABLE 178 MIDDLE EAST AND AFRICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       TABLE 179 MIDDLE EAST AND AFRICA: MARKET, BY VERTICAL, 2019–2021 (USD MILLION)
                       TABLE 180 MIDDLE EAST AND AFRICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       TABLE 181 MIDDLE EAST AND AFRICA: MARKET, BY APPLICATION, 2019–2021 (USD MILLION)
                       TABLE 182 MIDDLE EAST AND AFRICA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                       TABLE 183 MIDDLE EAST AND AFRICA: MARKET, BY COUNTRY, 2019–2021 (USD MILLION)
                       TABLE 184 MIDDLE EAST AND AFRICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             12.5.3 UAE
                       12.5.3.1 Adoption of cutting-edge technologies to drive adoption of self-healing networks
             12.5.4 SAUDI ARABIA
                       12.5.4.1 Government initiatives to fuel adoption of self-healing networks
             12.5.5 SOUTH AFRICA
                       12.5.5.1 Presence of global players and technological development to create opportunities
             12.5.6 REST OF MIDDLE EAST AND AFRICA
     12.6 LATIN AMERICA 
             12.6.1 LATIN AMERICA: RECESSION IMPACT
             12.6.2 LATIN AMERICA: MARKET DRIVERS
                       TABLE 185 LATIN AMERICA: SELF-HEALING NETWORKS MARKET, BY COMPONENT, 2019–2021 (USD MILLION)
                       TABLE 186 LATIN AMERICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 187 LATIN AMERICA: MARKET, BY SERVICE, 2019–2021 (USD MILLION)
                       TABLE 188 LATIN AMERICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                       TABLE 189 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2021 (USD MILLION)
                       TABLE 190 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                       TABLE 191 LATIN AMERICA: MARKET, BY SOLUTION, 2019–2021 (USD MILLION)
                       TABLE 192 LATIN AMERICA: MARKET, BY SOLUTION, 2022–2027 (USD MILLION)
                       TABLE 193 LATIN AMERICA: MARKET, BY NETWORK TYPE, 2019–2021 (USD MILLION)
                       TABLE 194 LATIN AMERICA: MARKET, BY NETWORK TYPE, 2022–2027 (USD MILLION)
                       TABLE 195 LATIN AMERICA: SELF-HEALING NETWORKS MARKET, BY DEPLOYMENT MODE, 2019–2021 (USD MILLION)
                       TABLE 196 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       TABLE 197 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2021 (USD MILLION)
                       TABLE 198 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       TABLE 199 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2021 (USD MILLION)
                       TABLE 200 LATIN AMERICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       TABLE 201 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2021 (USD MILLION)
                       TABLE 202 LATIN AMERICA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                       TABLE 203 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2021 (USD MILLION)
                       TABLE 204 LATIN AMERICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             12.6.3 BRAZIL
                       12.6.3.1 Investments by private players to drive market
             12.6.4 MEXICO
                       12.6.4.1 Growing integration of technologies to boost adoption of advanced network infrastructure
             12.6.5 REST OF LATIN AMERICA
 
13 COMPETITIVE LANDSCAPE (Page No. - 189)
     13.1 OVERVIEW 
     13.2 STRATEGIES ADOPTED BY KEY PLAYERS 
               TABLE 205 OVERVIEW OF STRATEGIES ADOPTED BY KEY SELF-HEALING NETWORKS VENDORS
     13.3 REVENUE ANALYSIS 
             13.3.1 HISTORICAL REVENUE ANALYSIS
                       FIGURE 45 HISTORICAL REVENUE ANALYSIS OF TOP FIVE LEADING PLAYERS, 2019–2021 (USD MILLION)
     13.4 MARKET SHARE ANALYSIS 
               FIGURE 46 SELF-HEALING NETWORKS MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2021
               TABLE 206 MARKET: DEGREE OF COMPETITION
     13.5 MARKET EVALUATION FRAMEWORK 
               FIGURE 47 MARKET EVALUATION FRAMEWORK: EXPANSIONS AND CONSOLIDATIONS IN MARKET BETWEEN 2019-2022
     13.6 COMPANY EVALUATION QUADRANT 
             13.6.1 STARS
             13.6.2 EMERGING LEADERS
             13.6.3 PERVASIVE PLAYERS
             13.6.4 PARTICIPANTS
                       FIGURE 48 KEY MARKET PLAYERS, COMPANY EVALUATION QUADRANT, 2022
     13.7 COMPETITIVE BENCHMARKING 
             13.7.1 COMPANY PRODUCT FOOTPRINT
                       FIGURE 49 PRODUCT PORTFOLIO ANALYSIS OF TOP PLAYERS
                       FIGURE 50 BUSINESS STRATEGY EXCELLENCE OF TOP PLAYERS
                       TABLE 207 SELF-HEALING NETWORKS MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS, 2021
     13.8 STARTUP/SME EVALUATION QUADRANT 
             13.8.1 PROGRESSIVE COMPANIES
             13.8.2 RESPONSIVE COMPANIES
             13.8.3 DYNAMIC COMPANIES
             13.8.4 STARTING BLOCKS
                       FIGURE 51 STARTUPS/SMES SELF-HEALING NETWORKS PLAYERS, COMPANY EVALUATION QUADRANT, 2022
     13.9 STARTUP/SME COMPETITIVE BENCHMARKING 
             13.9.1 COMPANY PRODUCT FOOTPRINT
                       FIGURE 52 PRODUCT PORTFOLIO ANALYSIS OF STARTUPS/SMES
                       FIGURE 53 BUSINESS STRATEGY EXCELLENCE OF STARTUPS/SMES
                       TABLE 208 MARKET: COMPETITIVE BENCHMARKING OF STARTUP/SMES
                       TABLE 209 SELF-HEALING NETWORKS MARKET: DETAILED LIST OF KEY STARTUP/SMES
     13.1 COMPETITIVE SCENARIO AND TRENDS 
             13.10.1 PRODUCT LAUNCHES
                       TABLE 210 SERVICE/PRODUCT LAUNCHES, 2019–2022
             13.10.2 DEALS
                       TABLE 211 DEALS, 2019–2022
 
14 COMPANY PROFILES (Page No. - 209)
     14.1 INTRODUCTION 
(Business Overview, Solutions/Services offered, Recent Developments, Deals, MnM view, Key strengths, Strategic choices, Weaknesses and competitive threats) *
     14.2 KEY PLAYERS 
             14.2.1 VMWARE
                       TABLE 212 VMWARE: BUSINESS OVERVIEW
                       FIGURE 54 VMWARE: COMPANY SNAPSHOT
                       TABLE 213 VMWARE: SOLUTIONS/SERVICES OFFERED
                       TABLE 214 VMWARE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 215 VMWARE: DEALS
             14.2.2 IBM
                       TABLE 216 IBM: BUSINESS OVERVIEW
                       FIGURE 55 IBM: COMPANY SNAPSHOT
                       TABLE 217 IBM: SOLUTIONS/SERVICES OFFERED
                       TABLE 218 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 219 IBM: DEALS
             14.2.3 COMMSCOPE
                       TABLE 220 COMMSCOPE: BUSINESS OVERVIEW
                       FIGURE 56 COMMSCOPE: COMPANY SNAPSHOT
                       TABLE 221 COMMSCOPE: SOLUTIONS/SERVICES OFFERED
                       TABLE 222 COMMSCOPE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 223 COMMSCOPE: DEALS
             14.2.4 BMC SOFTWARE
                       TABLE 224 BMC SOFTWARE: BUSINESS OVERVIEW
                       TABLE 225 BMC SOFTWARE: SOLUTIONS/SERVICES OFFERED
                       TABLE 226 BMC SOFTWARE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 227 BMC SOFTWARE: DEALS
             14.2.5 FORTRA
                       TABLE 228 FORTRA: BUSINESS OVERVIEW
                       TABLE 229 FORTRA: SOLUTIONS/SERVICES OFFERED
                       TABLE 230 FORTRA: DEALS
             14.2.6 SOLARWINDS
                       TABLE 231 SOLARWINDS: BUSINESS OVERVIEW
                       FIGURE 57 SOLARWINDS: COMPANY SNAPSHOT
                       TABLE 232 SOLARWINDS: SOLUTIONS/SERVICES OFFERED
                       TABLE 233 SOLARWINDS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 234 SOLARWINDS: DEALS
             14.2.7 MANAGEENGINE
                       TABLE 235 MANAGEENGINE: BUSINESS OVERVIEW
                       TABLE 236 MANAGEENGINE: SOLUTIONS/SERVICES OFFERED
                       TABLE 237 MANAGEENGINE: PRODUCT LAUNCHES AND ENHANCEMENTS
             14.2.8 ELISA POLYSTAR
                       TABLE 238 ELISA POLYSTAR: BUSINESS OVERVIEW
                       TABLE 239 ELISA POLYSTAR: SOLUTIONS/SERVICES OFFERED
                       TABLE 240 ELISA POLYSTAR: DEALS
             14.2.9 HPE
                       TABLE 241 HPE: BUSINESS OVERVIEW
                       FIGURE 58 HPE: COMPANY SNAPSHOT
                       TABLE 242 HPE: SOLUTIONS/SERVICES OFFERED
                       TABLE 243 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 244 HPE: DEALS
             14.2.10 CISCO
                       TABLE 245 CISCO: BUSINESS OVERVIEW
                       FIGURE 59 CISCO: COMPANY SNAPSHOT
                       TABLE 246 CISCO: SOLUTIONS/SERVICES OFFERED
                       TABLE 247 CISCO: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 248 CISCO: DEALS
     14.3 OTHER KEY PLAYERS 
             14.3.1 IVANTI
             14.3.2 EASYVISTA
             14.3.3 HUAWEI
             14.3.4 NOKIA
             14.3.5 ACT
             14.3.6 ERICSSON
             14.3.7 ANUTA NETWORKS
             14.3.8 JUNIPER
             14.3.9 BLUECAT
             14.3.10 PARK PLACE TECHNOLOGIES
             14.3.11 APPNOMIC
     14.4 STARTUP/SME PROFILES 
             14.4.1 PARALLEL WIRELESS
             14.4.2 ITENTIAL
             14.4.3 VERSA NETWORKS
             14.4.4 KENTIK
             14.4.5 DOMOTZ
             14.4.6 BEEGOL
*Details on Business Overview, Solutions/Services offered, Recent Developments, Deals, MnM view, Key strengths, Strategic choices, Weaknesses and competitive threats might not be captured in case of unlisted companies.
 
15 ADJACENT AND RELATED MARKETS (Page No. - 256)
     15.1 INTRODUCTION 
     15.2 NETWORK MANAGEMENT SYSTEM MARKET - GLOBAL FORECAST TO 2027 
             15.2.1 MARKET DEFINITION
             15.2.2 MARKET OVERVIEW
                       15.2.2.1 Network management system market, by component
                                   TABLE 249 NETWORK MANAGEMENT SYSTEM MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                                   TABLE 250 NETWORK MANAGEMENT SYSTEM MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       15.2.2.2 Network management system market, by deployment type
                                   TABLE 251 NETWORK MANAGEMENT SYSTEM MARKET, BY DEPLOYMENT TYPE, 2016–2021 (USD MILLION)
                                   TABLE 252 NETWORK MANAGEMENT SYSTEM MARKET, BY DEPLOYMENT TYPE, 2022–2027 (USD MILLION)
                       15.2.2.3 Network management system market, by organization size
                                   TABLE 253 NETWORK MANAGEMENT SYSTEM MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
                                   TABLE 254 NETWORK MANAGEMENT SYSTEM MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       15.2.2.4 Network management system market, by end user
                                   TABLE 255 NETWORK MANAGEMENT SYSTEM MARKET, BY END USER, 2016–2021 (USD MILLION)
                                   TABLE 256 NETWORK MANAGEMENT SYSTEM MARKET, BY END USER, 2022–2027 (USD MILLION)
                       15.2.2.5 Network management system market, by region
                                   TABLE 257 NETWORK MANAGEMENT SYSTEM MARKET, BY REGION, 2016–2021 (USD MILLION)
                                   TABLE 258 NETWORK MANAGEMENT SYSTEM MARKET, BY REGION, 2022–2027 (USD MILLION)
     15.3 IT OPERATIONS ANALYTICS MARKET - GLOBAL FORECAST TO 2026 
             15.3.1 MARKET DEFINITION
             15.3.2 MARKET OVERVIEW
                       15.3.2.1 IT Operations Analytics market, by component
                                   TABLE 259 IT OPERATIONS ANALYTICS MARKET, BY COMPONENT, 2014–2019 (USD MILLION)
                                   TABLE 260 IT OPERATIONS ANALYTICS MARKET, BY COMPONENT, 2019–2025 (USD MILLION)
                       15.3.2.2 IT Operations Analytics market, by deployment mode
                                   TABLE 261 IT OPERATIONS ANALYTICS MARKET, BY DEPLOYMENT MODE, 2014–2019 (USD MILLION)
                                   TABLE 262 IT OPERATIONS ANALYTICS MARKET, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
                       15.3.2.3 IT Operations Analytics market, by organization size
                                   TABLE 263 IT OPERATIONS ANALYTICS MARKET, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION)
                                   TABLE 264 IT OPERATIONS ANALYTICS MARKET, BY ORGANIZATION SIZE, 2019–2025 (USD MILLION)
                       15.3.2.4 IT Operations Analytics market, by end user
                                   TABLE 265 IT OPERATIONS ANALYTICS MARKET, BY END USER, 2014–2019 (USD MILLION)
                                   TABLE 266 IT OPERATIONS ANALYTICS MARKET, BY END USER, 2019–2025 (USD MILLION)
                       15.3.2.5 IT Operations Analytics market, by region
                                   TABLE 267 IT OPERATIONS ANALYTICS MARKET, BY REGION, 2014–2019 (USD MILLION)
                                   TABLE 268 IT OPERATIONS ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
 
16 APPENDIX (Page No. - 266)
     16.1 DISCUSSION GUIDE 
     16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     16.3 CUSTOMIZATION OPTIONS 
     16.4 RELATED REPORTS 
     16.5 AUTHOR DETAILS 

 

The research study for the self-healing networks market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred self-healing networks providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

The market size of companies offering self-healing networks solutions and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality. In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors websites. Additionally, self-healing networks spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to solutions, services, deployment modes, applications, network types, organization sizes, verticals, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and self-healing networks expertise; related key executives from self-healing networks solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to adjacent technologies, applications, deployment modes, network types, verticals and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using self-healing networks, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of self-healing networks solutions and services, which would impact the overall self-healing networks market.

The following is the breakup of primary profiles:

Self-healing Networks Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

For market estimation, key self-healing networks solutions and service vendors, such as Fortra (US), VMWare (US), IBM (US), CommScope (US), SolarWinds (US), ManageEngine (US), BMC Software (US), Elisa Polystar (Sweden), HPE (US), Cisco (US), Ivanti (US), Easyvista (France), Huawei (China), ACT (India), Ericsson (Sweden), Nokia (US), Anuta Networks (US), Juniper (US), Bluecat (Canada), Park Place Technologies (US), Appnomic (India), Versa Networks (US), Parallel Wireless (US), Itential (US), Kentik (US), Domotz (US), and Beegol (Brazil) were identified. These vendors contribute nearly 45%–55% to the global self-healing networks market.

The market is competitive due to the presence of several vendors. After confirming these companies through primary interviews with industry experts, their total revenue through annual reports, Securities and Exchange Commission (SEC) filings, and paid databases was estimated. The revenue pertaining to Business Units (BUs) that offer self-healing networks solutions was identified through similar sources. Then, through primaries, the data of revenue generated from specific self-healing networks solutions was collected. The collective revenue of key companies that offer self-healing networks solutions comprises 40%–50% of the market, which was again confirmed through primary interviews with industry experts.

  • The pricing trend is assumed to vary over time.
  • All the forecasts are made with the standard assumption that the accepted currency is USD.
  • For converting various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency, the USD, remains constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors in the market.

Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on self-healing networks based on some of the key use cases. These factors for the self-healing networks industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, start-up ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the self-healing networks market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major self-healing networks providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall self-healing networks market size and segments’ size were determined and confirmed using the study.

Report Objectives

  • To define, describe, and predict the self-healing networks market in terms of component (solutions and services), deployment mode, network type, application, organization size, vertical, and region.
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the self-healing networks market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East and Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the self-healing networks market
  • To analyze the impact of the recession across all the regions in the self-healing networks market.

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American self-healing networks market
  • Further breakup of the European self-healing networks market
  • Further breakup of the Asia Pacific self-healing networks market
  • Further breakup of the Middle East and Africa self-healing networks market
  • Further breakup of the Latin America self-healing networks market

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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Report Code
TC 8541
Published ON
Jan, 2023
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