Intelligent Network

Intelligent Network Market Outlook

The global intelligent network market is projected to reach approximately USD 100 billion by 2035, exhibiting a robust compound annual growth rate (CAGR) of around 15% from 2025 to 2035. This growth is primarily driven by the increasing demand for efficient network solutions that enhance connectivity and performance across various sectors. As organizations continue to transition towards digital transformation, the need for intelligent networks has become paramount to ensure optimal operational efficiency, improved security measures, and enhanced service delivery. Additionally, the rapid proliferation of IoT devices and the exponential growth of data traffic have necessitated innovative networking solutions that can adapt to changing demands and provide real-time analytics. The rise in cybersecurity threats also plays a crucial role, as organizations seek reliable network security services to protect sensitive information and maintain consumer trust.

Growth Factor of the Market

The intelligent network market is thriving due to several growth factors that underscore its importance in today's digital landscape. One of the primary drivers is the increasing adoption of cloud-based services, which necessitate robust and scalable networking solutions. As businesses migrate their operations to the cloud, they require intelligent networks to manage data traffic efficiently and ensure seamless connectivity. Furthermore, the surge in remote work practices has heightened the demand for secure and reliable network solutions that facilitate collaboration and communication among geographically dispersed teams. Additionally, advancements in artificial intelligence and machine learning are driving the development of intelligent networking systems that can automatically adapt to changing network conditions, enhancing overall performance and user experience. The growing emphasis on data analytics and real-time monitoring also contributes to market growth, as organizations seek to leverage actionable insights to optimize their network operations and reduce downtime.

Key Highlights of the Market

• Projected global market size of USD 100 billion by 2035.
• Significant CAGR of around 15% from 2025 to 2035.
• Increased demand for secure and scalable cloud-based networking solutions.
• Advancements in AI and machine learning driving intelligent network development.
• Growing emphasis on real-time data analytics and network monitoring.

By Service Type

Virtual Private Network:

Virtual Private Network (VPN) services are integral to the intelligent network market, providing secure and private connections over public networks. VPNs are increasingly adopted by organizations to protect sensitive data, particularly as remote work becomes more prevalent. The ability to encrypt internet traffic and mask users' IP addresses is vital for safeguarding corporate data against unauthorized access and cyber threats. As businesses globally prioritize data security, the demand for VPN solutions is expected to rise sharply, fostering market growth. Furthermore, the evolution of VPN technology, including enhanced protocols and increased bandwidth capacity, is attracting more users, adding to its growth trajectory.

Data Center Networking:

Data center networking is another critical service type in the intelligent network market, focusing on the architecture and management of data centers. As businesses increasingly rely on data centers to store and manage vast amounts of information, efficient networking solutions are essential for optimizing performance and ensuring reliability. Organizations are investing in advanced networking technologies that allow for better scalability, faster data transfer rates, and improved resource allocation. The integration of intelligent networking systems facilitates seamless communication between multiple data center locations, enhancing operational efficiency and responsiveness to changing demands.

Network Security:

Network security services play a vital role in the intelligent network landscape, as organizations face an ever-increasing array of cyber threats. The rise in sophisticated cyber-attacks has led companies to invest heavily in robust security measures to protect their networks. Intelligent network security solutions utilize advanced technologies such as machine learning and behavior analytics to identify vulnerabilities and respond to threats in real time. This proactive approach to network security not only safeguards sensitive data but also helps organizations comply with regulatory requirements, thus driving up demand for innovative security services within the intelligent network market.

Network Automation:

Network automation is gaining traction as organizations seek to streamline their network operations and reduce reliance on manual processes. Automation tools enable IT teams to manage network configurations, monitor performance, and respond to incidents with minimal human intervention, resulting in improved efficiency and reduced operational costs. The integration of intelligent networking solutions allows for greater agility in addressing network changes and optimizing resources. As businesses continue to embrace digital transformation, the demand for network automation services is projected to see significant growth, further propelling the intelligent network market.

Network Analytics:

Network analytics services provide organizations with valuable insights into their network performance and usage patterns. By leveraging advanced analytics tools, companies can monitor traffic, diagnose issues, and optimize network resources in real time. The growing complexity of network environments necessitates the use of data-driven decision-making to enhance performance and reliability. As organizations strive to improve their overall network efficiency, the adoption of network analytics solutions is expected to rise, contributing to the overall expansion of the intelligent network market.

By Application

Telecommunication:

The telecommunication sector is one of the primary applications of intelligent networking solutions. As telecom operators face increasing data demands from consumers and businesses, they must invest in advanced networking technologies to deliver reliable and high-speed services. Intelligent networks enable telecom providers to optimize their infrastructure, improve service quality, and minimize downtime, thereby enhancing customer satisfaction. The integration of AI and machine learning into telecommunication networks facilitates proactive management and troubleshooting, which are essential for maintaining competitive advantage in this rapidly evolving market.

BFSI:

The Banking, Financial Services, and Insurance (BFSI) sector heavily relies on intelligent networking solutions to ensure secure transactions and protect sensitive financial data. With the rise of digital banking and online transactions, the demand for robust network security and reliability is paramount. Intelligent networks provide the necessary infrastructure to handle high volumes of transactions while ensuring compliance with regulatory standards. Additionally, the use of advanced analytics and monitoring tools allows BFSI organizations to detect and respond to potential cyber threats swiftly, thereby safeguarding their assets and customer information.

Healthcare:

The healthcare industry is increasingly adopting intelligent network solutions to improve patient care and streamline operations. With the rise of telemedicine and electronic health records (EHR), healthcare organizations require reliable and secure networking capabilities to facilitate communication between providers and patients. Intelligent networks enable real-time data sharing, which is essential for delivering timely and accurate healthcare services. Moreover, the integration of network analytics allows healthcare organizations to monitor performance, optimize resource allocation, and enhance overall patient outcomes, driving further adoption of intelligent networking solutions in this sector.

IT & Telecom:

The IT and telecom sector is a major adopter of intelligent networking technologies, leveraging them to improve service delivery and operational efficiency. As organizations continue to shift towards cloud-based solutions, the demand for intelligent networks that can support the underlying infrastructure is increasing. By employing advanced networking technologies, IT and telecom companies can enhance their service offerings, reduce latency, and improve customer experience. Furthermore, the use of network automation and analytics tools allows these organizations to optimize their operations and proactively address performance issues, ensuring a competitive edge in the market.

Government:

Government agencies are increasingly recognizing the need for intelligent network solutions to enhance data management and improve service delivery. Intelligent networks provide the necessary infrastructure to support various government initiatives, including e-governance, smart cities, and public safety programs. As governments face growing demands for transparency and efficiency, the adoption of intelligent networking technologies is essential to streamline operations and manage public resources effectively. Furthermore, the emphasis on cybersecurity in government operations has led to increased investment in secure networking solutions, boosting the demand for intelligent networks in the public sector.

By Technology

Software-Defined Networking:

Software-Defined Networking (SDN) is a transformative technology that has a significant impact on the intelligent network market. By decoupling the control plane from the data plane, SDN allows for centralized management of network resources, providing enhanced flexibility and programmability. This technology enables organizations to dynamically adjust their network configurations in response to changing demands, improving overall efficiency and performance. As businesses increasingly adopt cloud services and virtualization, the demand for SDN solutions is expected to grow, driving the intelligent network market forward.

Network Function Virtualization:

Network Function Virtualization (NFV) is another crucial technology in the intelligent network landscape, facilitating the virtualization of network services that traditionally relied on proprietary hardware. By leveraging NFV, organizations can deploy and manage network functions as software applications on standard hardware, resulting in reduced costs and increased scalability. This technology enhances the agility of network operations and allows for rapid deployment of new services. As businesses seek to optimize their network infrastructure and reduce capital expenditures, the adoption of NFV solutions is set to accelerate, further contributing to the growth of the intelligent network market.

Artificial Intelligence:

Artificial Intelligence (AI) plays a pivotal role in advancing intelligent networks by enabling automation and data-driven decision-making. AI technologies can analyze vast amounts of network data to identify patterns, predict performance issues, and optimize resource allocation. This capability not only enhances operational efficiency but also significantly improves network security by detecting anomalies in real-time. The increasing integration of AI in networking solutions is driving the demand for intelligent networks, as organizations recognize the value of leveraging AI to enhance their network capabilities and user experiences.

Machine Learning:

Machine Learning (ML) is a subset of AI that is making significant strides in the intelligent network market. By utilizing algorithms that learn from data and improve over time, ML technologies enable networks to become more adaptive and responsive to changing conditions. Organizations are increasingly utilizing ML to enhance network performance, automate troubleshooting processes, and improve security measures. The growing recognition of the benefits of ML in networking applications is expected to further fuel market growth, as businesses strive to achieve greater agility and efficiency in their network operations.

Internet of Things:

The Internet of Things (IoT) is a rapidly expanding technology that relies heavily on intelligent networking solutions to manage the vast array of connected devices. With the proliferation of IoT devices across various sectors, organizations require robust and scalable networks to handle the increased data traffic and ensure seamless connectivity. Intelligent networks facilitate the efficient management of IoT ecosystems by providing real-time monitoring, data analytics, and automated responses to network conditions. As IoT adoption continues to rise, the demand for intelligent networking solutions capable of supporting this technology is expected to grow significantly, further propelling market expansion.

By End User

Enterprises:

Enterprises are significant end users of intelligent networking solutions, as they seek to enhance operational efficiency and improve communication across their organizations. The need for reliable and secure networking capabilities is paramount for enterprises, especially as they adopt digital transformation initiatives and cloud-based services. Intelligent networks enable enterprises to optimize their resource allocation, streamline workflows, and ensure seamless connectivity among teams. Moreover, the integration of advanced analytics and automation tools allows enterprises to proactively manage their networks, reducing downtime and improving overall productivity.

Service Providers:

Service providers are critical players in the intelligent network market, as they are tasked with delivering reliable and high-quality services to their customers. To meet the growing demand for data and connectivity, service providers are increasingly investing in intelligent networking solutions that enhance their infrastructure and service offerings. Intelligent networks allow service providers to optimize their operations, improve service quality, and reduce operational costs. Additionally, the incorporation of AI and machine learning technologies enables service providers to proactively manage their networks and respond to customer needs effectively, further driving market growth.

Cloud Providers:

Cloud providers are key end users in the intelligent network landscape, relying on advanced networking solutions to support their cloud services. As organizations increasingly migrate to cloud environments, the demand for robust and scalable networking capabilities is paramount. Intelligent networks facilitate seamless communication between cloud applications and users, ensuring optimal performance and reliability. Additionally, cloud providers leverage intelligent networking solutions to enhance security, manage data traffic, and improve resource allocation. The continued growth of cloud computing is set to boost the adoption of intelligent networking technologies among cloud providers, propelling market expansion.

Data Centers:

Data centers are essential end users of intelligent networking solutions, as they require efficient and reliable networking capabilities to manage large volumes of data. The growing complexity of data center operations necessitates the adoption of intelligent networking technologies that can optimize performance and enhance resource management. Intelligent networks allow data centers to streamline their operations, improve data transfer rates, and minimize latency. Moreover, the integration of advanced analytics tools enables data centers to monitor performance, diagnose issues, and proactively address potential bottlenecks, further driving the demand for intelligent networking solutions.

Government Organizations:

Government organizations are significant adopters of intelligent networking solutions, leveraging these technologies to enhance public services and improve operational efficiency. Intelligent networks provide the necessary infrastructure to support various government initiatives, including e-government services and public safety programs. As governments increasingly embrace digital transformation, the demand for secure and reliable networking capabilities is paramount. Intelligent networking solutions enable government agencies to streamline their operations, improve data sharing and communication, and ensure compliance with regulatory standards. The growing emphasis on transparency and efficiency in government operations is expected to boost the adoption of intelligent networking technologies in the public sector.

By Region

North America is poised to dominate the intelligent network market, accounting for a substantial share due to the presence of major technology companies and advanced infrastructure. The region's emphasis on innovation, coupled with significant investment in digital transformation initiatives, fuels the demand for intelligent networking solutions. The North American market is projected to grow at a CAGR of approximately 16% during the forecast period, driven by the increasing adoption of AI, machine learning, and cloud services across various industries. Additionally, the rise in cybersecurity threats and the need for enhanced network security further bolster the demand for intelligent networking solutions within this region.

Europe is expected to be another key region in the intelligent network market, as organizations across the continent increasingly prioritize digitalization and cloud adoption. The European market is witnessing significant investments in advanced networking technologies, driven by the need for improved connectivity and operational efficiency. The market is projected to exhibit a CAGR of around 14% during the forecast period, fueled by the growing emphasis on data protection and compliance with stringent regulations, such as GDPR. Furthermore, the rise of smart cities and IoT initiatives across Europe is anticipated to enhance the demand for intelligent networking solutions in the region.

Opportunities

The intelligent network market presents numerous opportunities for growth and innovation, particularly in the realm of emerging technologies. As organizations increasingly adopt AI and machine learning, intelligent networking solutions that incorporate these technologies can deliver enhanced performance and security. This trend creates opportunities for vendors to develop and offer advanced solutions that leverage AI-driven analytics, enabling organizations to optimize their network operations and improve decision-making processes. Moreover, the rise of IoT devices presents a significant market opportunity, as organizations seek intelligent networking solutions to manage the complexities associated with connecting and maintaining these devices. The growing demand for smart cities and connected infrastructure is expected to further drive the need for intelligent networking technologies, providing ample opportunities for market players to capitalize on.

Additionally, the global push towards digital transformation and cloud adoption is set to create new avenues for growth in the intelligent network market. As enterprises increasingly migrate their operations to the cloud, they require robust and scalable networking solutions to ensure seamless connectivity and data management. This transition offers opportunities for service providers and vendors to develop innovative networking technologies that cater to the specific needs of cloud environments. Furthermore, the growing emphasis on cybersecurity in light of rising cyber threats presents opportunities for intelligent networking companies to develop advanced security solutions that protect organizations from vulnerabilities and ensure compliance with regulatory standards. By addressing these evolving market needs, players in the intelligent network market can position themselves for sustained growth and success.

Threats

Despite the promising growth prospects in the intelligent network market, several threats could hinder its expansion. One of the primary challenges is the increasing sophistication of cyber threats, which poses a constant risk to network security and integrity. As organizations adopt more complex network solutions, they become vulnerable to various cyber-attacks, including ransomware and data breaches, which can result in significant financial losses and damage to reputation. The evolving nature of cyber threats necessitates continuous investment in advanced security measures, placing pressure on organizations to keep pace with emerging threats. Additionally, the competitive landscape in the intelligent network market is becoming increasingly crowded, with numerous vendors entering the space. This saturation can lead to price competition, potentially impacting profit margins for existing players and forcing companies to innovate continuously to differentiate their offerings.

Another threat to the intelligent network market is the potential for regulatory changes that could impact the adoption of networking technologies. As governments worldwide implement stricter data protection and privacy regulations, organizations may face challenges in compliance, which could slow the uptake of intelligent networking solutions. Additionally, the complexity of integrating new networking technologies with existing infrastructure can pose significant obstacles for organizations, particularly those with legacy systems. This complexity may lead to delays in implementation and increased costs, ultimately affecting the overall market growth. To navigate these threats, organizations must proactively invest in advanced security measures and strive for compliance with evolving regulations while ensuring seamless integration of intelligent networking technologies.

Competitor Outlook

• Cisco Systems, Inc.
• Juniper Networks, Inc.
• Arista Networks, Inc.
• Hewlett Packard Enterprise (HPE)
• Nokia Corporation
• Extreme Networks, Inc.
• VMware, Inc.
• Verizon Communications Inc.
• IBM Corporation
• Huawei Technologies Co., Ltd.
• Ericsson
• Netgear, Inc.
• Palo Alto Networks, Inc.
• MikroTik
• Fortinet, Inc.

The competitive landscape of the intelligent network market is characterized by the presence of several key players focusing on innovation and technological advancement. Major companies such as Cisco Systems, Inc. and Juniper Networks, Inc. are at the forefront of the market, continuously developing advanced networking solutions that cater to the evolving needs of organizations. These companies invest heavily in research and development initiatives to enhance their product offerings and maintain a competitive edge. Furthermore, partnerships and collaborations between technology vendors and service providers are common in the market, as companies seek to leverage each other’s strengths to enhance their solutions and address customer needs more effectively.

One of the leading companies in the intelligent network space, Cisco Systems, Inc., is known for its extensive portfolio of networking and security solutions. The company has been a pioneer in the development of software-defined networking and network security technologies, positioning itself as a trusted partner for organizations seeking to optimize their network operations. Cisco's emphasis on innovation, coupled with its commitment to providing comprehensive support and services, has solidified its position as a market leader. Additionally, the company is actively expanding its presence in emerging markets, further driving growth and diversification.

Juniper Networks, Inc. is another key player in the intelligent network market, renowned for its focus on network automation and artificial intelligence-driven solutions. The company's commitment to simplifying network management and enhancing security has made it a preferred choice for enterprises and service providers alike. Juniper's innovative approach to network function virtualization and software-defined networking has positioned it favorably in a competitive landscape. The company continues to invest in expanding its technological capabilities and developing partnerships to enhance its offerings and respond to evolving market demands.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 Ericsson
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 MikroTik
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 VMware, Inc.
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Netgear, Inc.
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 Fortinet, Inc.
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 IBM Corporation
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 Nokia Corporation
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 Cisco Systems, Inc.
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Arista Networks, Inc.
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Extreme Networks, Inc.
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 Juniper Networks, Inc.
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 Palo Alto Networks, Inc.
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 Verizon Communications Inc.
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 Huawei Technologies Co., Ltd.
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis
  • 5.15 Hewlett Packard Enterprise (HPE)
    • 5.15.1 Business Overview
    • 5.15.2 Products & Services
    • 5.15.3 Financials
    • 5.15.4 Recent Developments
    • 5.15.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Intelligent Network Market, By End User
    • 6.1.1 Enterprises
    • 6.1.2 Service Providers
    • 6.1.3 Cloud Providers
    • 6.1.4 Data Centers
    • 6.1.5 Government Organizations
  • 6.2 Intelligent Network Market, By Technology
    • 6.2.1 Software-Defined Networking
    • 6.2.2 Network Function Virtualization
    • 6.2.3 Artificial Intelligence
    • 6.2.4 Machine Learning
    • 6.2.5 Internet of Things
  • 6.3 Intelligent Network Market, By Application
    • 6.3.1 Telecommunication
    • 6.3.2 BFSI
    • 6.3.3 Healthcare
    • 6.3.4 IT & Telecom
    • 6.3.5 Government
  • 6.4 Intelligent Network Market, By Service Type
    • 6.4.1 Virtual Private Network
    • 6.4.2 Data Center Networking
    • 6.4.3 Network Security
    • 6.4.4 Network Automation
    • 6.4.5 Network Analytics

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 Intelligent Network Market by Region
  • 10.6 Middle East & Africa - Market Analysis
    • 10.6.1 By Country
      • 10.6.1.1 Middle East
      • 10.6.1.2 Africa

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global Intelligent Network market is categorized based on

By Service Type

• Virtual Private Network
• Data Center Networking
• Network Security
• Network Automation
• Network Analytics

By Application

• Telecommunication
• BFSI
• Healthcare
• IT & Telecom
• Government

By Technology

• Software-Defined Networking
• Network Function Virtualization
• Artificial Intelligence
• Machine Learning
• Internet of Things

By End User

• Enterprises
• Service Providers
• Cloud Providers
• Data Centers
• Government Organizations

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• Cisco Systems, Inc.
• Juniper Networks, Inc.
• Arista Networks, Inc.
• Hewlett Packard Enterprise (HPE)
• Nokia Corporation
• Extreme Networks, Inc.
• VMware, Inc.
• Verizon Communications Inc.
• IBM Corporation
• Huawei Technologies Co., Ltd.
• Ericsson
• Netgear, Inc.
• Palo Alto Networks, Inc.
• MikroTik
• Fortinet, Inc.