As per Intent Market Research, the Network Automation Market was valued at USD 4.5 Billion in 2024-e and will surpass USD 20.6 Billion by 2030; growing at a CAGR of 28.7% during 2025-2030.
The Network Automation Market is experiencing rapid growth, driven by the increasing demand for seamless connectivity, enhanced security, and reduced operational costs. Organizations across industries are adopting automation to manage complex networks efficiently, improve service delivery, and optimize resource utilization. The integration of artificial intelligence (AI) and machine learning (ML) into network automation solutions has further accelerated market expansion, enabling predictive analytics and self-healing networks.
Solutions Segment is the Largest Owing to Advanced AI-Driven Automation
Within the component segment, solutions hold the largest market share, as enterprises increasingly deploy network automation platforms to streamline operations. These solutions include Software-Defined Networking (SDN), Intent-Based Networking (IBN), and AI-driven automation tools that provide end-to-end network visibility, optimization, and security. Organizations prefer automation solutions over traditional manual configurations, as they reduce human errors and enhance scalability.
Additionally, the adoption of cloud computing, edge computing, and 5G has intensified the demand for network automation solutions. Companies such as Cisco, Juniper Networks, and Arista Networks are continuously enhancing their automation software, integrating AI-powered analytics and security features to provide next-generation network management capabilities.
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Cloud Deployment Mode is the Fastest Growing Due to Scalability and Cost Efficiency
The cloud deployment segment is witnessing the highest growth due to its flexibility, cost-effectiveness, and scalability. Enterprises are increasingly migrating their network operations to the cloud to reduce infrastructure costs, improve accessibility, and enable real-time network management. The shift toward cloud-native applications and SD-WAN (Software-Defined Wide Area Network) solutions has further propelled the demand for cloud-based network automation.
With major cloud service providers such as AWS, Microsoft Azure, and Google Cloud supporting network automation frameworks, businesses can now deploy AI-driven automation tools without significant on-premises investment. This trend is particularly strong in industries such as IT & telecommunications, BFSI, and healthcare, where real-time network monitoring and security are critical.
Hybrid Network Segment is the Largest Owing to Growing Multi-Cloud Adoption
Among network types, the hybrid network segment is the largest, as enterprises balance between on-premises infrastructure and cloud solutions. Hybrid networks offer the best of both worlds by combining security and control from physical networks with the flexibility and scalability of virtualized environments.
As organizations continue to expand their cloud infrastructure while maintaining on-premises data centers for sensitive operations, hybrid networks have become essential. Network automation plays a crucial role in managing complex hybrid environments, enabling seamless connectivity and interoperability between legacy systems and modern cloud architectures.
Large Enterprises Segment is the Largest Owing to High Adoption of AI-Driven Networking
In terms of organization size, large enterprises dominate the market, as they invest heavily in AI-powered network automation solutions. These organizations operate vast and complex IT infrastructures, requiring automation to enhance network performance, security, and cost efficiency.
With the increasing focus on digital transformation, enterprises are implementing AI-driven network automation to reduce downtime, enhance cybersecurity, and support multi-cloud strategies. Large companies across BFSI, IT & telecom, and manufacturing are deploying intent-based networking to streamline operations and ensure real-time network adaptability.
IT & Telecommunications Segment is the Largest Due to High Demand for 5G and SDN
Among end-user industries, IT & telecommunications is the largest segment, driven by the rising adoption of 5G networks, SDN, and NFV (Network Functions Virtualization). Telecommunication providers are leveraging network automation to manage high bandwidth demands, improve service delivery, and enhance network security.
With 5G rollouts gaining momentum worldwide, network automation has become a necessity for telecom operators to optimize network performance and minimize latency. Companies such as Nokia, Cisco, and Huawei are heavily investing in automation solutions to support dynamic network configurations and improve customer experience.
Healthcare Segment is the Fastest Growing Owing to Increasing Demand for Secure and Reliable Networks
The healthcare industry is the fastest-growing sector in network automation, fueled by the increasing adoption of telemedicine, connected medical devices, and electronic health records (EHRs). With patient data security being a top priority, automated networks ensure compliance with healthcare regulations while enabling seamless data transmission across hospitals, clinics, and research institutions.
AI-driven automation in healthcare networks enhances cybersecurity by detecting anomalies, mitigating risks, and ensuring uninterrupted connectivity for critical medical applications. As digital healthcare expands, demand for automated networking solutions is set to surge in the coming years.
North America is the Largest Region Owing to High Adoption of AI-Powered Networking
Geographically, North America dominates the network automation market due to its strong technological infrastructure, high adoption of AI-driven networking, and presence of leading players such as Cisco, IBM, and VMware. The U.S. is at the forefront of 5G deployment, SDN adoption, and cloud computing, driving network automation investments.
Enterprises across sectors, from BFSI to government, are implementing automation to enhance security and efficiency. Additionally, regulatory initiatives promoting cybersecurity and data privacy have further accelerated market growth in the region.
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Competitive Landscape: Strong Presence of Key Players Driving Innovation
The network automation market is highly competitive, with key players continuously innovating to enhance automation capabilities. Cisco, Juniper Networks, IBM, VMware, and Arista Networks are among the top players investing in AI, ML, and intent-based networking to stay ahead. Mergers, acquisitions, and partnerships are common strategies for market expansion, as seen with Juniper’s acquisition of Apstra and HPE’s collaboration with VMware.
List of Leading Companies:
- Cisco Systems, Inc.
- Juniper Networks, Inc.
- IBM Corporation
- Hewlett Packard Enterprise (HPE)
- Nokia Corporation
- VMware, Inc.
- Arista Networks, Inc.
- Extreme Networks, Inc.
- SolarWinds Corporation
- BlueCat Networks
- Forward Networks, Inc.
- NetBrain Technologies, Inc.
- Apstra (Acquired by Juniper Networks)
- Big Switch Networks (Acquired by Arista)
- Anuta Networks
Recent Developments:
- Cisco launched AI-powered automation tools to enhance network visibility, security, and predictive analytics, helping enterprises manage complex IT environments
- Juniper Networks completed the acquisition of Apstra, strengthening its position in the intent-based networking market for data centers and cloud environments
- IBM unveiled AI-driven network automation solutions tailored for hybrid cloud environments, helping enterprises accelerate digital transformation
- Hewlett Packard Enterprise (HPE) and VMware announced a strategic partnership to develop advanced network automation tools for multi-cloud deployments
- Arista Networks launched new cloud-native automation solutions aimed at simplifying network management for enterprises and service providers.
Report Scope:
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Report Features |
Description |
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Market Size (2024-e) |
USD 4.5 Billion |
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Forecasted Value (2030) |
USD 20.6 Billion |
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CAGR (2025 – 2030) |
28.7% |
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Base Year for Estimation |
2024-e |
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Historic Year |
2023 |
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Forecast Period |
2025 – 2030 |
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Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
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Segments Covered |
Network Automation Market By Component (Solutions, Services), By Deployment Mode (On-Premises, Cloud), By Network Type (Physical Network, Virtual Network, Hybrid Network), By Organization Size (Small & Medium Enterprises, Large Enterprises), By End-User Industry (IT & Telecommunications, BFSI, Healthcare, Manufacturing, Energy & Utilities, Government & Defense, Retail & E-Commerce) |
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Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa) |
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Major Companies |
Cisco Systems, Inc., Juniper Networks, Inc., IBM Corporation, Hewlett Packard Enterprise (HPE), Nokia Corporation, VMware, Inc., Arista Networks, Inc., Extreme Networks, Inc., SolarWinds Corporation, BlueCat Networks, Forward Networks, Inc., NetBrain Technologies, Inc., Apstra (Acquired by Juniper Networks), Big Switch Networks (Acquired by Arista), Anuta Networks |
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Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
Frequently Asked Questions
The Network Automation Market was valued at USD 4.5 Billion in 2024-e and is expected to grow at a CAGR of over 28.7% from 2025 to 2030
Integration complexity, legacy infrastructure compatibility, and cybersecurity risks are major challenges organizations face when adopting network automation.
AI and machine learning enhance network automation by enabling predictive analytics, self-healing networks, and real-time threat detection.
The Asia-Pacific region is anticipated to witness the highest growth, driven by increasing investments in 5G, cloud services, and digital transformation.
Intent-based networking (IBN) automates network operations by translating business policies into network configurations, ensuring real-time optimization and security.
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1. Introduction |
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1.1. Market Definition |
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1.2. Scope of the Study |
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1.3. Research Assumptions |
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1.4. Study Limitations |
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2. Research Methodology |
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2.1. Research Approach |
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2.1.1. Top-Down Method |
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2.1.2. Bottom-Up Method |
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2.1.3. Factor Impact Analysis |
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2.2. Insights & Data Collection Process |
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2.2.1. Secondary Research |
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2.2.2. Primary Research |
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2.3. Data Mining Process |
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2.3.1. Data Analysis |
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2.3.2. Data Validation and Revalidation |
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2.3.3. Data Triangulation |
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3. Executive Summary |
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3.1. Major Markets & Segments |
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3.2. Highest Growing Regions and Respective Countries |
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3.3. Impact of Growth Drivers & Inhibitors |
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3.4. Regulatory Overview by Country |
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4. Network Automation Market, by Component (Market Size & Forecast: USD Million, 2023 – 2030) |
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4.1. Solutions |
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4.2. Services |
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5. Network Automation Market, by Deployment Mode (Market Size & Forecast: USD Million, 2023 – 2030) |
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5.1. On-Premises |
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5.2. Cloud |
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6. Network Automation Market, by Network Type (Market Size & Forecast: USD Million, 2023 – 2030) |
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6.1. Physical Network |
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6.2. Virtual Network |
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6.3. Hybrid Network |
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7. Network Automation Market, by Organization Size (Market Size & Forecast: USD Million, 2023 – 2030) |
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7.1. Small & Medium Enterprises (SMEs) |
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7.2. Large Enterprises |
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8. Network Automation Market, by End-User Industry (Market Size & Forecast: USD Million, 2023 – 2030) |
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8.1. IT & Telecommunications |
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8.2. BFSI (Banking, Financial Services, and Insurance) |
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8.3. Healthcare |
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8.4. Manufacturing |
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8.5. Energy & Utilities |
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8.6. Government & Defense |
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8.7. Retail & E-Commerce |
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8.8. Others |
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9. Regional Analysis (Market Size & Forecast: USD Million, 2023 – 2030) |
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9.1. Regional Overview |
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9.2. North America |
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9.2.1. Regional Trends & Growth Drivers |
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9.2.2. Barriers & Challenges |
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9.2.3. Opportunities |
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9.2.4. Factor Impact Analysis |
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9.2.5. Technology Trends |
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9.2.6. North America Network Automation Market, by Component |
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9.2.7. North America Network Automation Market, by Deployment Mode |
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9.2.8. North America Network Automation Market, by Network Type |
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9.2.9. North America Network Automation Market, by Organization Size |
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9.2.10. North America Network Automation Market, by End-User Industry |
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9.2.11. By Country |
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9.2.11.1. US |
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9.2.11.1.1. US Network Automation Market, by Component |
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9.2.11.1.2. US Network Automation Market, by Deployment Mode |
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9.2.11.1.3. US Network Automation Market, by Network Type |
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9.2.11.1.4. US Network Automation Market, by Organization Size |
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9.2.11.1.5. US Network Automation Market, by End-User Industry |
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9.2.11.2. Canada |
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9.2.11.3. Mexico |
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*Similar segmentation will be provided for each region and country |
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9.3. Europe |
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9.4. Asia-Pacific |
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9.5. Latin America |
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9.6. Middle East & Africa |
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10. Competitive Landscape |
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10.1. Overview of the Key Players |
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10.2. Competitive Ecosystem |
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10.2.1. Level of Fragmentation |
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10.2.2. Market Consolidation |
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10.2.3. Product Innovation |
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10.3. Company Share Analysis |
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10.4. Company Benchmarking Matrix |
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10.4.1. Strategic Overview |
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10.4.2. Product Innovations |
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10.5. Start-up Ecosystem |
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10.6. Strategic Competitive Insights/ Customer Imperatives |
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10.7. ESG Matrix/ Sustainability Matrix |
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10.8. Manufacturing Network |
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10.8.1. Locations |
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10.8.2. Supply Chain and Logistics |
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10.8.3. Product Flexibility/Customization |
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10.8.4. Digital Transformation and Connectivity |
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10.8.5. Environmental and Regulatory Compliance |
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10.9. Technology Readiness Level Matrix |
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10.10. Technology Maturity Curve |
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10.11. Buying Criteria |
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11. Company Profiles |
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11.1. Cisco Systems, Inc. |
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11.1.1. Company Overview |
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11.1.2. Company Financials |
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11.1.3. Product/Service Portfolio |
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11.1.4. Recent Developments |
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11.1.5. IMR Analysis |
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*Similar information will be provided for other companies |
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11.2. Juniper Networks, Inc. |
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11.3. IBM Corporation |
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11.4. Hewlett Packard Enterprise (HPE) |
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11.5. Nokia Corporation |
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11.6. VMware, Inc. |
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11.7. Arista Networks, Inc. |
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11.8. Extreme Networks, Inc. |
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11.9. SolarWinds Corporation |
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11.10. BlueCat Networks |
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11.11. Forward Networks, Inc. |
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11.12. NetBrain Technologies, Inc. |
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11.13. Apstra (Acquired by Juniper Networks) |
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11.14. Big Switch Networks (Acquired by Arista) |
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11.15. Anuta Networks |
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12. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Network Automation Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Network Automation Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
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Secondary Research
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary Research
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the E-Waste Management ecosystem. The primary research objectives included:
- Validating findings and assumptions derived from secondary research
- Gathering qualitative and quantitative data on market trends, drivers, and challenges
- Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
- Assessing the supply-side landscape, including technological advancements and recent developments
Market Size Assessment
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Network Automation Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
- Identification of key industry players and relevant revenues through extensive secondary research
- Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
- Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources
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Data Triangulation
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.