SDN 编排市场 - 全球产业规模、份额、趋势、机会和预测，按组件、按部署模式、按最终用户、按地区和竞争进行细分，2020-2030 年预测

2024 年全球 SDN 编排市场价值为 245.8 亿美元，预计到 2030 年将达到 721.2 亿美元，预测期内复合年增长率为 19.47%。

市场概况
预测期	2026-2030
2024年市场规模	245.8亿美元
2030年市场规模	721.2亿美元
2025-2030年复合年增长率	19.47%
成长最快的领域	本地部署
最大的市场	北美洲

软体定义网路编排市场是数位基础设施领域中一个快速发展的细分领域，专注于透过集中式编排平台简化、自动化和优化复杂网​​路环境的管理。透过将控制平面与资料平面分离，软体定义网路编排在帮助企业实现网路营运的敏捷性、可扩展性和成本效益方面发挥着至关重要的作用，从而使管理员能够更轻鬆地跨不同网路架构动态分配资源、配置策略和管理流量。

云端运算、边缘运算和虚拟化技术的日益普及，显着加速了对软体定义网路编排解决方案的需求，因为企业和服务供应商需要高效的工具来管理分散式和混合网络，同时确保无缝连接。此外，5G 网路的扩展、物联网部署的不断增长以及对资料密集型应用的日益依赖，也加剧了对能够处理大量流量、降低延迟并提升整体服务品质的自动化编排平台的需求。

随着各行各业日益转向数位转型，企业纷纷力求实现IT基础设施的现代化，以支持面向未来的应用，这也推动了市场的发展。此外，网路功能虚拟化的采用与软体定义网路编排技术形成了强大的协同效应，因为这两种技术共同为传统的以硬体为中心的网路系统提供了灵活、可编程且经济高效的替代方案。

网路安全是推动其采用的另一个关键因素，因为编排工具可以增强网路可见性，并支援主动威胁侦测和策略实施。展望未来，由于对多域编排、跨异质网路互通性以及人工智慧和机器学习整合以提供预测分析和智慧自动化的需求不断增长，预计市场将大幅增长。随着企业持续拥抱数位生态系统，软体定义网路编排市场将在推动全球网路基础设施的效率、创新和弹性方面发挥关键作用。

关键市场驱动因素

云端和多云端部署的加速

主要市场挑战

与传统基础设施整合的复杂性

主要市场趋势

人工智慧与机器学习的融合日益加深，实现智慧网路自动化

目录

第 1 章：产品概述

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：全球SDN编排市场展望

• 市场规模和预测
  • 按价值
• 市场占有率和预测
  • 按组件（解决方案、服务）
  • 依部署模式（云端、本机）
  • 按最终用户（资讯科技和电信、银行、金融服务和保险、政府和公共部门、医疗保健、零售和电子商务、其他）
  • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
• 按公司分类（2024 年）
• 市场地图

第六章：北美SDN编排市场展望

• 市场规模和预测
• 市场占有率和预测
• 北美：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲SDN编排市场展望

• 市场规模和预测
• 市场占有率和预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第 8 章：亚太地区 SDN 编排市场展望

• 市场规模和预测
• 市场占有率和预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲SDN编排市场展望

• 市场规模和预测
• 市场占有率和预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第 10 章：南美洲 SDN 编排市场展望

• 市场规模和预测
• 市场占有率和预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第 11 章：市场动态

• 驱动程式
• 挑战

第 12 章：市场趋势与发展

• 合併与收购（如有）
• 产品发布（如有）
• 最新动态

第十三章：公司简介

• Cisco Systems, Incorporated
• Juniper Networks, Incorporated
• Nokia Corporation
• Hewlett Packard Enterprise Development LP
• Arista Networks, Incorporated
• VMware, Incorporated
• Ciena Corporation
• Huawei Technologies Co., Ltd.
• NEC Corporation
• Ericsson AB

第 14 章：策略建议

第15章调查会社について・免责事项

Global SDN Orchestration Market was valued at USD 24.58 billion in 2024 and is expected to reach USD 72.12 billion by 2030 with a CAGR of 19.47% during the forecast period.

Market Overview
Forecast Period	2026-2030
Market Size 2024	USD 24.58 Billion
Market Size 2030	USD 72.12 Billion
CAGR 2025-2030	19.47%
Fastest Growing Segment	On-Premise
Largest Market	North America

The Software Defined Networking Orchestration market refers to a rapidly evolving segment of the digital infrastructure landscape that focuses on simplifying, automating, and optimizing the management of complex networking environments through centralized orchestration platforms. It plays a vital role in enabling organizations to achieve agility, scalability, and cost-efficiency in their networking operations by separating the control plane from the data plane, thereby allowing administrators to dynamically allocate resources, configure policies, and manage traffic across diverse network architectures with greater ease.

The rising adoption of cloud computing, edge computing, and virtualization technologies has significantly accelerated the demand for Software Defined Networking Orchestration solutions, as enterprises and service providers require efficient tools to manage distributed and hybrid networks while ensuring seamless connectivity. Furthermore, the expansion of 5G networks, growing Internet of Things deployments, and increasing reliance on data-intensive applications have intensified the need for automated orchestration platforms capable of handling massive traffic volumes, reducing latency, and improving overall quality of service.

The market is also being driven by the growing shift towards digital transformation initiatives across industries, as businesses aim to modernize their IT infrastructure to support future-ready applications. Additionally, the adoption of network function virtualization is creating strong synergies with Software Defined Networking Orchestration, as both technologies together provide flexible, programmable, and cost-effective alternatives to traditional hardware-centric networking systems.

Cybersecurity is another critical factor boosting adoption, as orchestration tools enhance network visibility and enable proactive threat detection and policy enforcement. Looking forward, the market is expected to rise significantly due to the growing demand for multi-domain orchestration, interoperability across heterogeneous networks, and the integration of artificial intelligence and machine learning to provide predictive analytics and intelligent automation. As organizations continue to embrace digital ecosystems, the Software Defined Networking Orchestration market will play a pivotal role in driving efficiency, innovation, and resilience in global networking infrastructure.

Key Market Drivers

Acceleration in Cloud and Multi-Cloud Deployments

In the SDN Orchestration Market, the acceleration in cloud and multi-cloud deployments emerges as a primary driver, as enterprises increasingly leverage hybrid environments to achieve greater scalability, flexibility, and cost-efficiency, necessitating advanced orchestration tools to seamlessly manage and automate network resources across disparate cloud platforms without compromising performance or security. This driver is fueled by the exponential growth in data volumes and the demand for real-time processing, where SDN orchestration enables centralized control over distributed networks, allowing organizations to dynamically allocate bandwidth, optimize traffic flows, and ensure consistent policy enforcement in multi-vendor cloud setups that traditional networking struggles to handle.

As businesses migrate mission-critical applications to the cloud, SDN solutions provide the agility to integrate legacy systems with modern cloud-native architectures, reducing deployment times from weeks to hours and minimizing downtime during transitions that could otherwise disrupt operations. Regulatory compliance and data sovereignty requirements further accelerate this trend, with SDN orchestration offering granular visibility and automated compliance checks to navigate complex multi-cloud governance landscapes. In the finance sector, multi-cloud strategies supported by SDN allow for secure, low-latency transactions across global data centers, enhancing fraud detection through real-time analytics.

Healthcare providers utilize SDN to orchestrate secure data sharing between on-premises electronic health records and cloud-based AI diagnostics, ensuring patient privacy while scaling telemedicine services. Manufacturing enterprises deploy SDN for edge-to-cloud integration, automating supply chain monitoring to predict disruptions and optimize just-in-time inventory. Retailers leverage it for omnichannel experiences, dynamically routing customer data between e-commerce platforms and in-store IoT devices for personalized promotions. Energy utilities manage smart grids via SDN orchestration, balancing load across renewable sources hosted in multiple clouds to prevent outages.

Public sector agencies use it to federate data across government clouds, improving inter-departmental collaboration without vendor lock-in. Entertainment companies stream content globally, with SDN ensuring quality of service by prioritizing bandwidth in multi-cloud CDNs. Agricultural firms connect IoT sensors in fields to cloud analytics, automating irrigation based on weather data from diverse providers. Educational institutions orchestrate virtual learning environments, scaling resources during peak enrollment across hybrid clouds. Financial services firms hedge risks by distributing workloads, using SDN to maintain high availability during market volatility.

Gaming developers host multiplayer sessions in multi-cloud setups, with orchestration minimizing latency for immersive experiences. Social media platforms handle user data surges, SDN automating scaling across clouds for uninterrupted service. E-learning providers manage content delivery, ensuring low-latency access to resources in distributed clouds. Telemedicine services secure patient data flows, SDN enforcing encryption policies across providers. Supply chain operators track assets in real-time, orchestration integrating IoT with multi-cloud analytics for visibility. Environmental monitoring networks aggregate sensor data, SDN optimizing paths to clouds for timely analysis.

Governments streamline citizen services, using SDN to interconnect agency clouds securely. Media companies produce content collaboratively, orchestration enabling seamless file sharing across clouds. Hospitality manages reservations, SDN ensuring data consistency across booking platforms. Insurance processes claims, automating data routing in multi-cloud environments for efficiency. Real estate optimizes property management, connecting IoT building systems to clouds.

Automotive designs vehicles, SDN facilitating simulation data sharing across collaborative clouds. Pharmaceuticals accelerate research, orchestrating data from labs to cloud-based modeling. Overall, the acceleration in cloud and multi-cloud deployments propels the SDN Orchestration Market by demanding intelligent, automated solutions that unify disparate environments, drive operational resilience, and unlock new efficiencies across all industries.

By 2025, approximately 94% of organizations utilize cloud infrastructure, storage, and software in some format, with 96% of companies using public cloud services and 84% employing private cloud solutions. Around 89% of enterprises have adopted multi-cloud strategies, rising to over 92% for large enterprises to enhance flexibility and mitigate vendor lock-in risks. Total global data volume is expected to reach 200 zettabytes by 2025, with 50% of data stored in the cloud, up from 25% in 2015, underscoring the surge in cloud reliance.

Key Market Challenges

Complexity of Integration with Legacy Infrastructure

One of the most significant challenges for the Software Defined Networking orchestration market is the complexity of integrating orchestration platforms with existing legacy infrastructure. Many enterprises and telecommunications providers have heavily invested in conventional networking systems that are often rigid, hardware-dependent, and incompatible with software-defined frameworks. The shift from these traditional architectures to programmable, software-defined, and automated systems demands substantial transformation in both hardware and software layers.

This process requires enterprises to adopt hybrid environments that combine legacy infrastructure with modern software-defined networking orchestration tools, which creates technical complexities. For instance, ensuring interoperability between different generations of equipment, diverse vendor ecosystems, and multiple communication protocols becomes a daunting task. In addition, the need for custom-built interfaces and middleware to enable seamless interaction between orchestration platforms and legacy systems increases implementation timelines and costs. The complexity of integration also extends to the human capital aspect, as organizations must train network engineers and administrators to transition from traditional command-line configurations to software-driven policy management.

This learning curve is steep and may slow down adoption across sectors. Moreover, the integration challenge is further intensified by the scale of deployment required in global enterprises that manage geographically distributed networks. Without proper orchestration, these networks face risks of inefficiency, downtime, and security vulnerabilities. Consequently, organizations may delay or avoid full-scale adoption of software-defined networking orchestration solutions, thereby hindering market growth. Addressing this challenge requires vendors to offer backward-compatible solutions, simplified integration frameworks, and strategic partnerships with legacy system providers to reduce operational disruptions and ensure a smoother migration path.

Key Market Trends

Increasing Integration of Artificial Intelligence and Machine Learning for Intelligent Network Automation

One of the most significant trends shaping the Software Defined Networking Orchestration Market is the growing integration of artificial intelligence and machine learning technologies to achieve intelligent network automation. As enterprises and service providers face increasingly complex networking environments, artificial intelligence and machine learning are being adopted to improve decision-making, predict network failures, and optimize traffic routing in real time. These technologies enable orchestration platforms to analyze massive amounts of data generated from network devices, identify patterns, and proactively address potential issues before they disrupt operations. For instance, artificial intelligence-driven orchestration can predict traffic congestion in advance and reconfigure network paths automatically to ensure uninterrupted service delivery.

This trend is particularly important for industries such as banking, healthcare, and e-commerce where even minimal downtime can result in significant financial and reputational losses. Moreover, the integration of artificial intelligence is helping organizations transition from reactive network management approaches to predictive and proactive models, which reduces operational costs and enhances efficiency. According to recent industry reports, over 60 percent of large-scale enterprises are planning to invest in artificial intelligence-based network orchestration tools within the next three years, highlighting the strong momentum behind this trend. As networks continue to evolve with increasing demands from edge computing, cloud adoption, and connected devices, the ability of software defined networking orchestration solutions to leverage artificial intelligence and machine learning for intelligent automation will be a key differentiator driving adoption and long-term market growth.

Key Market Players

• Cisco Systems, Incorporated
• Juniper Networks, Incorporated
• Nokia Corporation
• Hewlett Packard Enterprise Development LP
• Arista Networks, Incorporated
• VMware, Incorporated
• Ciena Corporation
• Huawei Technologies Co., Ltd.
• NEC Corporation
• Ericsson AB

Report Scope:

In this report, the Global SDN Orchestration Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

SDN Orchestration Market, By Component:

• Solution
• Services

SDN Orchestration Market, By Deployment Mode:

• Cloud
• On-Premise

SDN Orchestration Market, By End-User:

• Information Technology and Telecommunications
• Banking, Financial Services, and Insurance
• Government and Public Sector
• Healthcare
• Retail and E-commerce
• Others

SDN Orchestration Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global SDN Orchestration Market.

Available Customizations:

Global SDN Orchestration Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global SDN Orchestration Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Solution, Services)
  • 5.2.2. By Deployment Mode (Cloud, On-Premise)
  • 5.2.3. By End-User (Information Technology and Telecommunications, Banking, Financial Services, and Insurance, Government and Public Sector, Healthcare, Retail and E-commerce, Others)
  • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America SDN Orchestration Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Deployment Mode
  • 6.2.3. By End-User
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States SDN Orchestration Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Deployment Mode
      • 6.3.1.2.3. By End-User
  • 6.3.2. Canada SDN Orchestration Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Deployment Mode
      • 6.3.2.2.3. By End-User
  • 6.3.3. Mexico SDN Orchestration Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Deployment Mode
      • 6.3.3.2.3. By End-User

7. Europe SDN Orchestration Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Deployment Mode
  • 7.2.3. By End-User
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany SDN Orchestration Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Deployment Mode
      • 7.3.1.2.3. By End-User
  • 7.3.2. France SDN Orchestration Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Deployment Mode
      • 7.3.2.2.3. By End-User
  • 7.3.3. United Kingdom SDN Orchestration Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Deployment Mode
      • 7.3.3.2.3. By End-User
  • 7.3.4. Italy SDN Orchestration Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Deployment Mode
      • 7.3.4.2.3. By End-User
  • 7.3.5. Spain SDN Orchestration Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Deployment Mode
      • 7.3.5.2.3. By End-User

8. Asia Pacific SDN Orchestration Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Deployment Mode
  • 8.2.3. By End-User
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China SDN Orchestration Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Deployment Mode
      • 8.3.1.2.3. By End-User
  • 8.3.2. India SDN Orchestration Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Deployment Mode
      • 8.3.2.2.3. By End-User
  • 8.3.3. Japan SDN Orchestration Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Deployment Mode
      • 8.3.3.2.3. By End-User
  • 8.3.4. South Korea SDN Orchestration Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Deployment Mode
      • 8.3.4.2.3. By End-User
  • 8.3.5. Australia SDN Orchestration Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Deployment Mode
      • 8.3.5.2.3. By End-User

9. Middle East & Africa SDN Orchestration Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Deployment Mode
  • 9.2.3. By End-User
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia SDN Orchestration Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Deployment Mode
      • 9.3.1.2.3. By End-User
  • 9.3.2. UAE SDN Orchestration Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Deployment Mode
      • 9.3.2.2.3. By End-User
  • 9.3.3. South Africa SDN Orchestration Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Deployment Mode
      • 9.3.3.2.3. By End-User

10. South America SDN Orchestration Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Deployment Mode
  • 10.2.3. By End-User
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil SDN Orchestration Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Deployment Mode
      • 10.3.1.2.3. By End-User
  • 10.3.2. Colombia SDN Orchestration Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Deployment Mode
      • 10.3.2.2.3. By End-User
  • 10.3.3. Argentina SDN Orchestration Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Deployment Mode
      • 10.3.3.2.3. By End-User

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. Cisco Systems, Incorporated
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. Juniper Networks, Incorporated
• 13.3. Nokia Corporation
• 13.4. Hewlett Packard Enterprise Development LP
• 13.5. Arista Networks, Incorporated
• 13.6. VMware, Incorporated
• 13.7. Ciena Corporation
• 13.8. Huawei Technologies Co., Ltd.
• 13.9. NEC Corporation
• 13.10. Ericsson AB

14. Strategic Recommendations

15. About Us & Disclaimer