Gigamon is actively positioning itself to capitalize on the rapid growth of the network observability market, while simultaneously expanding its AI-focused product portfolio. According to insights from International Data Corporation, the market is projected to reach USD $4.39 billion by 2029, reflecting a steady rise in demand.
Notably, businesses are accelerating investments in AI, cloud computing, and cybersecurity initiatives across hybrid environments. As a result, Gigamon emphasized that while the overall market is expected to grow at a compound annual rate of 6.5%, segments linked to AI, cloud, and security will expand at two to three times that rate. This shift clearly highlights how organizations are prioritizing advanced observability tools to manage increasingly complex infrastructures.
Network observability solutions play a crucial role by providing IT and security teams with deep visibility into network traffic across enterprise ecosystems. As workloads continue to spread across data centers, virtual machines, public cloud platforms, and containerized environments, maintaining visibility has become significantly more challenging. Furthermore, the rise in encrypted traffic and lateral data movement within networks has added another layer of complexity.
Consequently, traditional monitoring tools often fall short, particularly when dealing with East-West traffic inside networks. To address this gap, Gigamon focuses on leveraging network-derived telemetry, including metadata, packets, and flows. This data is then integrated into security, cloud, and observability systems to deliver more comprehensive insights.
Market Shift and AI Influence
At the same time, IDC’s forecast signals a broader transformation in how enterprises approach observability. Instead of focusing solely on uptime and application monitoring, organizations now demand solutions that can simultaneously track performance, security, and cost across distributed infrastructures.
AI workloads, especially those involving generative AI, are further accelerating this transition. These technologies significantly increase network traffic while introducing operational complexity. Therefore, companies must gain deeper visibility into how AI systems interact with cloud infrastructure, internal applications, and security frameworks.
“Today’s network observability solutions must ensure cloud computing and networking services are afforded the same level of visibility and control as on-premises systems,” said Mark Leary, Research Director, Network Observability and Automation at IDC. “As AI-driven workloads accelerate and environments become more distributed, organizations require deeper access to network-derived telemetry to manage performance, security, and cost. Solutions that can deliver this comprehensive, end-to-end visibility across hybrid and multi-cloud environments will be critical to maintaining operational resilience and supporting successful digital transformation.”
This perspective aligns closely with Gigamon’s observation that organizations increasingly prioritize end-to-end visibility across employees, customers, partners, and connected devices. Additionally, cloud environments have become the primary domain where observability tools are deployed.
AI-Powered Product Expansion
In response to these evolving demands, Gigamon introduced two AI-driven solutions tailored for IT and security teams. The first, Gigamon AI Traffic Intelligence, enables visibility into generative AI and large language model traffic across more than 40 engines. Meanwhile, Gigamon Insights leverages agentic AI to help teams investigate incidents and accelerate response times in distributed environments.
Currently, AI Traffic Intelligence is generally available, whereas Gigamon Insights is offered in limited access to global customers. Both solutions operate within Gigamon’s Deep Observability Pipeline, which serves as its core platform for collecting and distributing network telemetry.
“AI is reshaping enterprise infrastructure and raising the stakes for network observability,” said Shane Buckley, President and Chief Executive Officer, Gigamon. “Organisations can no longer rely on traditional monitoring approaches and are demanding complete visibility across all their environments and workloads. Gigamon is uniquely positioned to lead this transformation, helping customers unlock the full potential of AI while reducing risk and complexity.”
Industry Outlook
With a customer base of over 4,000 organizations—including 83 of the Fortune 100—Gigamon continues to strengthen its position in the market. Importantly, as enterprises increasingly adopt hybrid and multi-cloud environments, spending is shifting toward solutions that provide deeper visibility into network activity.
Ultimately, the growing influence of AI, combined with evolving infrastructure demands, is reshaping enterprise IT priorities. As a result, vendors like Gigamon are well-positioned to capture opportunities in a market that is not only expanding steadily but also accelerating rapidly in AI-driven segments.
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