Network Automation Market
By Component;
Solution-[Network Automation Tools and Intent-Based Networking] and Services-[Professional and Managed]By Network Type;
Physical Network, Virtual Network and Hybrid NetworkBy Deployment;
On-Premises and CloudBy Organization Size;
Large Enterprise and SMEsBy End User;
IT & Telecom, BFSI, Manufacturing, Energy & Utilities, Healthcare, Education and OthersBy Geography;
North America, Europe, Asia Pacific, Middle East & Africa and Latin America - Report Timeline (2021 - 2031)Network Automation Market Overview
Network Automation Market (USD Million)
Network Automation Market was valued at USD 6,628.56 million in the year 2024. The size of this market is expected to increase to USD 28,232.85 million by the year 2031, while growing at a Compounded Annual Growth Rate (CAGR) of 23.0%.
Network Automation Market
*Market size in USD million
CAGR 23.0 %
| Study Period | 2025 - 2031 |
|---|---|
| Base Year | 2024 |
| CAGR (%) | 23.0 % |
| Market Size (2024) | USD 6,628.56 Million |
| Market Size (2031) | USD 28,232.85 Million |
| Market Concentration | Low |
| Report Pages | 364 |
Major Players
- Cisco Systems, Inc.
- Juniper Networks, Inc.
- VMware, Inc.
- IBM Corporation
- Hewlett Packard Enterprise (HPE)
- Huawei Technologies Co., Ltd.
- BMC Software, Inc.
- NetBrain Technologies, Inc.
- Micro Focus International plc
- Arista Networks, Inc.
Market Concentration
Consolidated - Market dominated by 1 - 5 major players
Network Automation Market
Fragmented - Highly competitive market without dominant players
The Network Automation Market is growing rapidly as organizations shift toward intelligent solutions to manage increasingly complex IT infrastructures. More than 30% of enterprises have adopted automated networking to reduce downtime and improve operational efficiency. This transformation is driven by the rising demand for scalability, agility, and reduced manual intervention.
Technological Advancements
Breakthroughs in AI, machine learning, and software-defined networking (SDN) are accelerating adoption. Over 40% of automation platforms now integrate AI-driven analytics to support predictive maintenance and real-time troubleshooting. These advancements enable proactive management of networks while significantly lowering operational costs.
Operational Importance
Network automation is essential for optimizing performance, ensuring security, and reducing human error. Nearly 35% of network-related failures are attributed to manual misconfigurations, highlighting the need for automated systems. By streamlining routine processes, businesses enhance reliability and support uninterrupted digital operations.
Sustainability and Efficiency Trends
The market is experiencing strong momentum toward energy-efficient and cost-effective automation solutions. Around 45% of enterprises using automation tools report reduced resource consumption and improved infrastructure utilization. This reflects a broader commitment to both sustainability and business continuity.
Future Outlook
The future of the network automation market will be shaped by cloud-native technologies, intent-based networking, and AI-powered orchestration. With more than 50% of enterprises planning to increase investments in automation tools, the market is set for long-term growth, innovation, and stronger digital resilience.
Network Automation Market Key Takeaways
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The Network Automation market is experiencing strong growth as enterprises increasingly adopt AI-driven network management and orchestration tools to enhance operational efficiency and reduce downtime.
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Rising complexity of hybrid and multi-cloud environments is fueling demand for automated solutions that can manage dynamic network configurations and ensure security compliance.
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Integration of machine learning and intent-based networking (IBN) is enabling predictive maintenance, adaptive routing, and self-healing capabilities in next-generation networks.
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The telecom sector is a major adopter, leveraging automation to accelerate 5G deployment, edge computing, and software-defined networking (SDN) infrastructure.
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Leading vendors are focusing on open-source frameworks and API-driven architectures to enhance interoperability and scalability across diverse network ecosystems.
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North America dominates the market due to early adoption of cloud-native and DevOps-driven network solutions, while Asia-Pacific shows rapid expansion supported by digital transformation initiatives.
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Despite significant progress, security vulnerabilities, integration complexity, and skill shortages remain key challenges limiting full-scale automation adoption across global enterprises.
Network Automation Market Recent Developments
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In September 2023, dynamic automation platforms with multi-cloud compatibility gained significant momentum, driving greater operational agility across complex network environments. These solutions enable seamless integration, scalability, and efficiency, empowering organizations to optimize performance in hybrid and distributed infrastructures.
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In March 2022, AI-powered network automation tools were deployed to enhance network traffic optimization and improve fault detection across enterprise IT infrastructures. These intelligent solutions enabled real-time insights, predictive maintenance, and seamless performance management for complex digital ecosystems.
Network Automation Market Segment Analysis
In this report, the Network Automation Market has been segmented by Component, Network Type, Deployment, Organization Size, End User and Geography.
Network Automation Market, Segmentation by Component
The Component segmentation differentiates between Solutions and Services, reflecting how enterprises procure capabilities and expertise across modern hybrid infrastructures. Vendors increasingly bundle analytics-driven orchestration, policy-based automation, and closed-loop assurance in software, while services cover design, migration, and run operations. Buyers typically phase investments, adopting tools first to standardize processes and then layering service engagements for integration, governance, and operating model transformations.
Solution
Solution offerings focus on software platforms that deliver intent translation, workflow automation, and multi-domain orchestration. They help reduce configuration drift, accelerate change windows, and embed compliance checks directly into pipelines. As networks span physical, virtual, and cloud-native domains, solutions emphasize open APIs, model-driven interfaces, and integration with ITSM/CI/CD for scalable and auditable change management across distributed environments.
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Network Automation Tools
These platforms automate repetitive tasks like provisioning, configuration, and compliance remediation, while enabling low-code workflows and event-driven triggers. Toolchains typically integrate with source-of-truth systems and inventories, support version-controlled templates, and provide rollbacks and guardrails to reduce risk. Adoption is propelled by needs for operational efficiency, consistency, and security posture improvements across multi-vendor networks.
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Intent-Based Networking
Intent-based solutions translate business intent into network policies, verify configurations continuously, and enforce compliance through closed-loop automation. They maintain a near real-time model of the network to validate desired state and proactively identify drift. This approach supports zero-touch changes, accelerates service rollout, and enhances resilience, especially in complex environments where manual operations cannot keep pace with application and user demands.
Services
Services provide the expertise to plan, deploy, and operate automation across heterogeneous estates. Providers align architectures with governance frameworks, integrate tools with ITSM/DevOps practices, and build reusable modules for scale. Engagements commonly include operating model design, skill development, and change management to ensure sustainable outcomes, especially where legacy processes and knowledge silos would otherwise slow transformation.
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Professional
Professional services cover assessment, architecture, integration, and automation blueprinting. Teams map current-state processes, define target operating models, and implement toolchains with robust security and compliance controls. They also establish data models, inventories, and pipelines that serve as the source-of-truth for scalable, policy-driven automation.
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Managed
Managed services deliver ongoing operational run, observability, and optimization under SLAs, often leveraging provider-owned platforms. Clients offload day-to-day changes, compliance reporting, and lifecycle management while retaining strategic control. This model helps organizations accelerate benefits, contain costs, and access scarce automation skills without expanding internal headcount.
Network Automation Market, Segmentation by Network Type
The Network Type dimension addresses how automation spans physical, virtual, and hybrid estates. Operators increasingly require consistent policy intent, shared inventories, and unified observability across domains. Platforms that normalize vendor diversity, abstract device specifics, and synchronize desired state across multiple planes position buyers to reduce outages, compress change windows, and align networking velocity with application teams.
Physical Network
In Physical Network environments, automation targets switches, routers, firewalls, and optical domains with model-driven configuration and compliance checks. Use cases include zero-touch provisioning, golden-config enforcement, and maintenance window orchestration. The emphasis is on risk reduction, consistent rollouts, and audit-ready changes across large device fleets.
Virtual Network
Virtual Network automation spans SDN overlays, NFV, and cloud-native constructs, orchestrating services dynamically based on workload needs. It integrates closely with cloud platforms, Kubernetes, and virtualized security to deliver rapid, policy-consistent changes. This layer enables elastic capacity, microsegmentation, and continuous verification at the speed of software.
Hybrid Network
Hybrid Network deployments unify policy and change management across on-premises and cloud domains. Automation ensures end-to-end intent from campus and data center to WAN and edge, with centralized governance and distributed execution. Organizations prioritize toolchains that bridge inventories, telemetry, and remediation across environments to deliver seamless user and application experiences.
Network Automation Market, Segmentation by Deployment
The Deployment split reflects where control planes and data processing reside, shaping integration, security, and operating cost profiles. Buyers balance data sovereignty, latency, and toolchain ecosystem alignment to choose the right fit. Vendors increasingly offer flexible consumption models so organizations can standardize policies while deploying in environments that meet regulatory and architectural requirements.
On-Premises
On-Premises deployments offer tighter control, data residency assurance, and integration with existing ITSM and identity stacks. They are favored in regulated sectors and where deep customization is needed. Automation platforms are often integrated with internal CMDBs and inventories to ensure deterministic change and auditability within enterprise boundaries.
Cloud
Cloud deployment emphasizes rapid time-to-value, elastic scale, and continuous feature delivery. It simplifies multi-site rollouts and enables collaborative operations across distributed teams. With secure connectors and role-based controls, cloud-delivered automation supports global governance while minimizing infrastructure management overhead.
Network Automation Market, Segmentation by Organization Size
Segmentation by Organization Size highlights distinct adoption patterns and operating constraints between Large Enterprises and SMEs. Larger firms orchestrate complex, multi-domain estates and demand deep integrations and compliance tooling, while smaller organizations prioritize ease of deployment, prebuilt workflows, and cost predictability. Vendors tailor packaging and services to align with these differing maturity profiles and resource levels.
Large Enterprise
Large Enterprise buyers require federated governance, multi-vendor normalization, and integration into DevSecOps pipelines. Programs typically include phased rollouts, center-of-excellence structures, and robust policy frameworks to enforce consistency at scale. Success metrics focus on risk reduction, change velocity, and service reliability across global operations.
SMEs
SMEs favor turnkey platforms with opinionated best practices, simplified interfaces, and guided workflows. They focus on automating high-frequency tasks—backup, compliance checks, and configuration pushes—to free scarce staff. Partners play a key role, offering packaged professional and managed services that deliver outcomes without heavy upfront customization.
Network Automation Market, Segmentation by End User
The End User view maps industry-specific priorities driving automation initiatives. Sectors with stringent compliance, availability, or scalability needs lead adoption, while others prioritize workforce productivity and digital service agility. Solution roadmaps increasingly embed domain-aligned policies, templates, and validations to shorten time to value and standardize operations across diverse environments.
IT & Telecom
IT & Telecom operators automate provisioning, slicing, and assurance to deliver reliable connectivity and rapid service activation. Integration with OSS/BSS and telemetry enables closed-loop operations that enhance customer experience and reduce mean time to repair. Multi-domain orchestration supports converged fixed, mobile, and edge scenarios.
BFSI
BFSI institutions emphasize security controls, segmentation, and change governance to meet regulatory mandates. Automation standardizes configurations, enforces policies at scale, and accelerates change windows for digital banking services while maintaining audit trails and resiliency.
Manufacturing
Manufacturing prioritizes deterministic connectivity for OT/IT convergence, robotics, and quality systems. Template-driven deployments and zero-touch provisioning across plants improve uptime and consistency. Vendors focus on ruggedized integrations, role-based access, and edge observability to support industrial use cases.
Energy & Utilities
Energy & Utilities require secure, resilient networks for grid, generation, and field operations. Automation enforces policy compliance, supports remote sites at scale, and integrates with event management to maintain service reliability. Solutions address legacy-asset coexistence and stringent safety and regulatory frameworks.
Healthcare
Healthcare organizations automate to enhance clinical uptime, protect sensitive data, and support telehealth and connected devices. Standardized policies and continuous verification reduce operational risk, while integrations with identity and asset systems streamline change approval and reporting.
Education
Education institutions focus on scalable, secure campus networks for digital learning, research, and administration. Automation simplifies onboarding, segmentation, and access policy enforcement across users and devices. Ease of use and cost efficiency are critical for resource-constrained teams.
Others
The Others category captures sectors with specialized requirements—ranging from retail to transportation—where consistent policy enforcement and rapid rollout of new services are priorities. Vendors address these with modular capabilities, predefined workflows, and partner-led services that adapt to unique environments and constraints.
Network Automation Market, Segmentation by Geography
In this report, the Network Automation Market has been segmented by Geography into five regions: North America, Europe, Asia Pacific, Middle East and Africa and Latin America.
Regions and Countries Analyzed in this Report
North America
North America shows mature adoption driven by cloud-first strategies, strong ecosystems, and regulatory attention to security and resilience. Enterprises prioritize policy-as-code, integration with DevOps toolchains, and multicloud governance. Service providers emphasize automation for service assurance and differentiated enterprise offerings across campus, data center, WAN, and edge.
Europe
Europe emphasizes data protection, sovereignty, and interoperability across multi-vendor estates. Buyers value open interfaces, model-driven operations, and verifiable compliance. Public sector and regulated industries accelerate adoption to meet operational efficiency goals while maintaining strict governance and transparent auditability.
Asia Pacific
Asia Pacific features fast-growing deployments aligned with digital transformation, 5G rollouts, and cloud expansion. Organizations balance greenfield opportunities with legacy modernization, seeking scalable automation that supports rapid service creation. Partner-led deployments and managed services play a significant role across diverse market maturities.
Middle East and Africa
Middle East and Africa invests in automation alongside national digital agendas, smart city initiatives, and new data center capacity. Buyers focus on secure-by-design architectures, streamlined operations, and skills enablement through partners. Greenfield projects and modernization programs create demand for standardized policies and repeatable blueprints.
Latin America
Latin America adoption is propelled by network modernization, cloud connectivity, and improved resiliency needs. Enterprises seek platforms that reduce operational complexity and support hybrid connectivity while partners deliver localized services. Cost efficiency and rapid time-to-value are central to project planning and vendor selection.
Network Automation Market Forces
This report provides an in depth analysis of various factors that impact the dynamics of Network Automation Market. These factors include; Market Drivers, Restraints and Opportunities Analysis.
Comprehensive Market Impact Matrix
This matrix outlines how core market forces Drivers, Restraints and Opportunities affect key business dimensions including Growth, Competition, Customer Behavior, Regulation and Innovation.
| Market Forces ↓ / Impact Areas → | Market Growth Rate | Competitive Landscape | Customer Behavior | Regulatory Influence | Innovation Potential |
|---|---|---|---|---|---|
| Drivers | High impact (e.g., tech adoption, rising demand) | Encourages new entrants and fosters expansion | Increases usage and enhances demand elasticity | Often aligns with progressive policy trends | Fuels R&D initiatives and product development |
| Restraints | Slows growth (e.g., high costs, supply chain issues) | Raises entry barriers and may drive market consolidation | Deters consumption due to friction or low awareness | Introduces compliance hurdles and regulatory risks | Limits innovation appetite and risk tolerance |
| Opportunities | Unlocks new segments or untapped geographies | Creates white space for innovation and M&A | Opens new use cases and shifts consumer preferences | Policy shifts may offer strategic advantages | Sparks disruptive innovation and strategic alliances |
Drivers, Restraints and Opportunity Analysis
Drivers:
- Increasing Complexity of Networking Environments
- Demand for Operational Efficiency
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Advancements in AI and ML Technologies-Advancements in artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the network automation market, offering unprecedented capabilities to streamline network management and operations. AI and ML algorithms enable network automation solutions to analyze vast amounts of data, identify patterns, and make intelligent decisions in real-time. This allows for proactive problem-solving, predictive maintenance, and optimization of network performance, leading to increased efficiency and reliability.
One significant advancement facilitated by AI and ML technologies in network automation is the ability to detect and respond to security threats more effectively. By continuously monitoring network traffic and user behavior patterns, AI-powered automation systems can identify anomalous activities indicative of cyber threats or attacks. ML algorithms can learn from past incidents and adapt to evolving threats, enabling automated responses such as threat mitigation, quarantine, and remediation, thereby enhancing network security posture.
AI and ML-driven network automation solutions contribute to optimizing network resources and improving user experience. These technologies enable dynamic network orchestration and traffic optimization based on real-time demands and performance metrics. ML algorithms can analyze historical data to predict traffic patterns and adjust network configurations accordingly, ensuring efficient utilization of bandwidth and minimizing latency. By harnessing AI and ML technologies, organizations can achieve greater agility, scalability, and cost-effectiveness in their network operations, paving the way for enhanced competitiveness and innovation in the digital era.
Restraints:
- Integration Challenges
- Security and Privacy Concerns
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Resistance to Change-Resistance to change stands as a significant barrier hindering the adoption of network automation solutions within organizations worldwide. Traditional networking practices have often relied on manual configurations and management, ingrained over years of operation. Consequently, transitioning to automated network processes requires a cultural shift and may encounter resistance from stakeholders accustomed to established methodologies. Resistance may stem from concerns about job security, fear of technology replacing human roles, or apprehension about learning new systems and processes.
Organizational inertia and legacy infrastructure can contribute to resistance to change in network automation initiatives. Many companies have invested heavily in their existing networking setups, making it challenging to justify the additional investment required to implement automation solutions. Furthermore, integrating automation into complex, heterogeneous network environments can be daunting, requiring significant planning, coordination, and potentially disruptive changes. As a result, organizations may hesitate to embark on automation projects, fearing potential disruptions to business operations and uncertainty about the return on investment.
Addressing resistance to change in the network automation market requires a multifaceted approach that encompasses leadership buy-in, employee training, and effective communication. Executive support and clear vision are essential in driving organizational change and fostering a culture of innovation and adaptation. Providing comprehensive training programs and support resources can help employees develop the skills and confidence needed to embrace automation technologies. Additionally, transparent communication about the benefits of network automation, such as improved efficiency, reliability, and agility, can help alleviate concerns and build consensus among stakeholders, ultimately paving the way for successful adoption and implementation.
Opportunities:
- Rise of Software-Defined Networking (SDN)
- Emerging Technologies such as 5G and IoT
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Growing Adoption of Cloud Computing-The growing adoption of cloud computing is serving as a significant catalyst for the expansion of the network automation market. Cloud computing has transformed the way organizations manage and operate their IT infrastructure, offering scalability, flexibility, and cost-effectiveness. As businesses increasingly migrate their workloads to the cloud, the need for efficient network automation solutions becomes paramount to manage the dynamic and complex networking requirements of cloud-based environments. Network automation allows organizations to provision, configure, and manage network resources seamlessly in the cloud, enabling them to adapt quickly to changing demands and optimize performance.
Tthe scalability and agility provided by cloud computing environments amplify the benefits of network automation. With cloud-based infrastructure, organizations can rapidly scale their network resources up or down in response to fluctuating workloads and user demands. Network automation streamlines this process by automating tasks such as provisioning virtual network elements, adjusting bandwidth allocation, and optimizing traffic routing. By automating these repetitive and time-consuming tasks, organizations can ensure optimal performance, resource utilization, and cost-efficiency in their cloud-based networks.
The convergence of network automation and cloud computing is driving innovation in areas such as DevOps and Infrastructure as Code (IaC). DevOps practices emphasize collaboration between development and operations teams to accelerate software delivery and improve deployment frequency. Network automation enables organizations to automate the configuration and management of network infrastructure as part of their DevOps workflows, facilitating seamless integration and deployment of applications in cloud environments. Similarly, IaC principles advocate for defining infrastructure components through code, enabling infrastructure provisioning and configuration to be automated and version-controlled. The synergy between network automation and cloud computing empowers organizations to adopt agile, scalable, and resilient networking architectures that support their digital transformation initiatives effectively.
Network Automation Market Competitive Landscape Analysis
Network Automation Market reflects a competitive environment where leading technology providers account for nearly 60% share through advanced strategies and comprehensive service offerings. Established firms strengthen their presence with collaboration, targeted merger initiatives, and digital partnerships, while smaller vendors emphasize innovation. This mix supports continuous growth and accelerates adoption across telecom, enterprise, and cloud networks.
Market Structure and Concentration
The sector demonstrates moderate concentration, with about 55% dominated by top-tier companies while regional players maintain competitiveness. Structural strength is reinforced by platform integration and infrastructure expansion. Mid-sized firms adopt specialized strategies to enhance positioning, ensuring balanced competition and consistent growth in the network automation landscape.
Brand and Channel Strategies
Brands secure nearly 65% market reach through enterprise contracts, reseller networks, and managed service models. Strong partnerships with telecom operators and cloud providers enhance reliability. Differentiation depends on strategies focused on scalability, compliance, and efficiency, enabling firms to sustain growth while supporting market expansion across digital infrastructure ecosystems.
Innovation Drivers and Technological Advancements
More than 70% of competitiveness is driven by technological advancements in AI, machine learning, and orchestration platforms. Companies prioritize R&D collaboration to accelerate software innovation and integration. These forward-focused strategies ensure sustainable growth and strengthen leadership in delivering next-generation automated networking solutions.
Regional Momentum and Expansion
Asia-Pacific secures nearly 40% share, supported by digitalization and infrastructure expansion. North America emphasizes technological advancements and cloud-driven strategies, while Europe enhances competitiveness through institutional partnerships and regulatory-driven modernization. Collectively, regional markets sustain balanced growth and strengthen adoption of automated network systems.
Future Outlook
The future outlook suggests that nearly 65% of companies will reinforce strategies through AI integration, intent-based networking, and cloud-native systems. Expanding merger activity and partnerships will accelerate transformation. Continued innovation, large-scale expansion, and rapid technological advancements are expected to ensure sustainable growth in the network automation market.
Key players in Network Automation Market include:
- Cisco Systems Inc.
- Juniper Networks Inc.
- IBM Corporation
- Hewlett Packard Enterprise (HPE)
- Arista Networks Inc.
- VMware Inc.
- SolarWinds Corporation
- BMC Software Inc.
- Extreme Networks Inc.
- NetBrain Technologies Inc.
- Forward Networks Inc.
- Nuage Networks (Nokia)
- Huawei Technologies Co. Ltd.
- Red Hat Inc.
- Fujitsu Limited
In this report, the profile of each market player provides following information:
- Market Share Analysis
- Company Overview and Product Portfolio
- Key Developments
- Financial Overview
- Strategies
- Company SWOT Analysis
- Introduction
- Research Objectives and Assumptions
- Research Methodology
- Abbreviations
- Market Definition & Study Scope
- Executive SummaryNetwork Automation Market Dynamics
- Market Snapshot, By Component
- Market Snapshot, By Network Type
- Market Snapshot, By Deployment
- Market Snapshot, By Organization Size
- Market Snapshot, By End User
- Market Snapshot, By Region
- Network Automation Market Dynamics
- Drivers, Restraints and Opportunities
- Drivers
- Increasing Complexity of Networking Environments
- Demand for Operational Efficiency
- Advancements in AI and ML Technologies
- Restraints
- Integration Challenges
- Security and Privacy Concerns
- Resistance to Change
- Opportunities
- Rise of Software-Defined Networking (SDN)
- Emerging Technologies such as 5G and IoT
- Growing Adoption of Cloud Computing
- Drivers
- PEST Analysis
- Political Analysis
- Economic Analysis
- Social Analysis
- Technological Analysis
- Porter's Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitutes
- Threat of New Entrants
- Competitive Rivalry
- Drivers, Restraints and Opportunities
- Market Segmentation
- Network Automation Market, By Component, 2021 - 2031 (USD Million)
- Solution
- Network Automation Tools
- Intent-Based Networking
- Services
- Professional
- Managed
- Solution
- Network Automation Market, By Network Type, 2021 - 2031 (USD Million)
- Physical Network
- Virtual Network
- Hybrid Network
- Network Automation Market, By Deployment, 2021 - 2031 (USD Million)
- On-Premises
- Cloud
- Network Automation Market, By Organization Size, 2021 - 2031 (USD Million)
- Large Enterprise
- SMEs
- Network Automation Market, By End User, 2021 - 2031 (USD Million)
- IT & Telecom
- BFSI
- Manufacturing
- Energy & Utilities
- Healthcare
- Education
- Others
- Network Automation Market, By Geography, 2021 - 2031 (USD Million)
- North America
- United States
- Canada
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
- Asia Pacific
- Japan
- China
- India
- Australia & New Zealand
- South Korea
- ASEAN (Association of South East Asian Countries)
- Rest of Asia Pacific
- Middle East & Africa
- GCC
- Israel
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- North America
- Network Automation Market, By Component, 2021 - 2031 (USD Million)
- Competitive Landscape
- Company Profiles
- Cisco Systems Inc.
- Juniper Networks Inc.
- IBM Corporation
- Hewlett Packard Enterprise (HPE)
- Arista Networks Inc.
- VMware Inc.
- SolarWinds Corporation
- BMC Software Inc.
- Extreme Networks Inc.
- NetBrain Technologies Inc.
- Forward Networks Inc.
- Nuage Networks (Nokia)
- Huawei Technologies Co. Ltd.
- Red Hat Inc.
- Fujitsu Limited
- Company Profiles
- Analyst Views
- Future Outlook of the Market

