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Gigamon Leads Expanding Deep Observability Market With 52 Percent Market Share In 2025 - New Frost & Sullivan Research

Gigamon Leads Expanding Deep Observability Market With 52 Percent Market Share In 2025 - New Frost & Sullivan Research

Scoop3 days ago

Gigamon, a leader in deep observability, has been recognized as a leading vendor in the high-growth deep observability market, according to new research by Frost & Sullivan commissioned by Gigamon. Overall, the deep observability total addressable market (TAM) is estimated at $880 million in 2025, growing to $2.7 billion in 2029, representing a compound annual growth rate (CAGR) of 33 percent as organizations increasingly embrace hybrid cloud infrastructure, according to the study.
Amid today's evolving threat landscape, traditional log data from cloud, security, and observability tools is no longer sufficient in securing and managing complex hybrid cloud infrastructure. In the recently published Gigamon 2025 Hybrid Cloud Security Survey of more than 1,000 global Security and IT leaders, real-time threat monitoring and visibility across all data in motion was named as the top priority to optimize defense-in-depth strategies. As a result, nearly 9 in 10 (89 percent) Security and IT leaders agreed that deep observability is a foundational element of cloud security.
Deep Observability Delivers Complete Visibility, Cost Efficiencies for Hybrid Cloud Infrastructure
Frost & Sullivan defines deep observability as the ability to efficiently deliver network-derived telemetry to cloud, security, and observability tools. Emerging from the traditional observability market, the deep observability market has matured into a critical capability for organizations, according to the report. The ability to augment traditional log data with network-derived telemetry and insights enables Security and IT teams to gain complete visibility across hybrid cloud infrastructure, improving their overall security posture and optimizing network and application performance, according to the research.
'Over the past year we've seen organizations increasingly prioritize visibility into all data in motion, as they seek to secure their hybrid cloud environments against an accelerating threat landscape," stated Vinay Biradar, associate director, Cybersecurity Advisory at Frost & Sullivan. "The increasing complexity of dynamic and distributed workloads is driving a shift in security investments toward solutions that help deliver complete visibility and reduce risk. Our research once again highlights Gigamon as the industry leader, due to its Deep Observability Pipeline and vast ecosystem, as it delivers the rich network-derived telemetry that modern security tools need to effectively secure data and infrastructure from evolving cyberthreats.'
According to the research, the global deep observability market is significantly influenced by the increasing adoption rates among large enterprises (5,000+ employees) and US Federal Agencies, which have the highest adoption rate within the US Federal government due to regulations around Zero Trust implementation. Key findings on factors that drive deep observability adoption in the AI-era include:
Improving Security Posture
Zero-Trust Architecture Implementation
Operational Efficiency and Cost Reduction
Improving Compliance and Cloud Governance
Growing need for comprehensive network traffic insights
'AI is upping the ante for organizations, making complete visibility into all data in motion even more challenging across hybrid cloud infrastructure as organizations rapidly deploy new AI workloads," said Shane Buckley, president and CEO at Gigamon. "Increasingly, our customers are relying on the network-derived telemetry we deliver across their virtual machines, containers, cloud, and physical infrastructure, to help eliminate blind spots and vulnerabilities where threat actors could hide. The continued validation of deep observability as a rapidly growing market category underscores its significance in modern cybersecurity tech stacks.'

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Gigamon Launches AI Tools For Deep Observability
Gigamon Launches AI Tools For Deep Observability

Scoop

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Gigamon Launches AI Tools For Deep Observability

Multi-phase AI strategy delivers intelligent visibility and automation, sets a new standard for hybrid cloud security and management Gigamon, a leader in deep observability, today announced the first phase of its multi-year AI strategy, introducing foundational innovations designed to help organizations better secure and manage hybrid cloud infrastructure. The initial offerings include Gigamon AI Traffic Intelligence, which delivers real-time visibility into GenAI and LLM traffic across 17 leading engines to enable data-driven enforcement and policy governance, and GigaVUE Fabric Manager (FM) Copilot, a GenAI-powered assistant that simplifies onboarding, configuration, management, and troubleshooting of Gigamon deployments. By embedding AI into the Deep Observability Pipeline, Gigamon expands its value to customers by eliminating blind spots, strengthening governance, and enhancing operational efficiency across modern hybrid environments. We're embedding AI directly into the Deep Observability Pipeline to help customers strengthen cybersecurity with practical, easy-to-implement capabilities that keep pace with the speed and complexity of AI adoption. As GenAI workloads multiply, organizations face surging data volumes, expanding attack surfaces, and growing security risks. One of the most fundamental challenges is simply knowing which AI services are in use. In the 2025 Hybrid Cloud Security Survey of over 1,000 global Security and IT leaders, one in three reported that network traffic has more than doubled due to AI workloads, while 55 percent said their tools are failing to detect modern threats. In response, 88 percent now consider deep observability—combining network-derived telemetry with log data—essential for securing and scaling AI deployments across hybrid cloud infrastructure. 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Embedded directly within GigaVUE-FM, GigaVUE-FM Copilot enables Security and IT teams to reduce time to insight, simplify complex workflows, and improve productivity. Through a natural language interface, GigaVUE-FM Copilot securely connects users directly to the internal knowledge base and LLM contained within technical documentation, deployment guides, and release notes, delivering fast, context-aware answers. This capability empowers Security, IT, and DevOps teams to resolve issues independently, whether or not they are power users, and reduce reliance on Tier 3 support resources. With GigaVUE-FM Copilot, organizations can: Simplify configuration and management using GenAI-assisted support Accelerate onboarding and feature discovery to improve readiness Instantly search documentation to troubleshoot and apply best practices Reduce Tier 3 support escalations by enabling broader self-service Improve operational efficiency across teams and environments Availability and Roadmap The AI Traffic Intelligence capability is available now for all GigaVUE Cloud Suite customers. GigaVUE-FM Copilot is in early access for select customers, with general availability in 2H25. Additional AI-powered innovations are underway as part of the multi-phase strategy and will be spotlighted at the Gigamon Visualyze Bootcamp, the company's virtual customer conference taking place Sept. 9–11. For more information

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