Gigamonis strengthening its position in the observability market with new advancements in AI-driven deep observability, as enterprises accelerate adoption of artificial intelligence, cloud computing, and modern security frameworks. The company reports growing demand from organizations seeking greater visibility and control over increasingly complex hybrid infrastructure environments. As generative AI and agentic AI deployments expand, enterprises are facing heightened challenges related to network complexity, performance management, and security. In response, many are turning to Gigamon’s deep observability capabilities to gain clearer insights into their infrastructure and mitigate emerging risks.
According to industry projections from IDC, the global enterprise network observability market is expected to reach $4.39 billion by 2029, growing steadily over the coming years. Solutions that incorporate AI, cloud, and advanced security capabilities are anticipated to outpace the broader market, reflecting a shift toward more intelligent and automated observability approaches.
The rise of AI-driven workloads is significantly increasing the volume and speed of network traffic, particularly across distributed environments that include data centers, public cloud platforms, virtualized systems, and containerized applications. Traditional monitoring tools often struggle to provide adequate visibility in these environments, especially when dealing with encrypted traffic and internal network communications.
Gigamon addresses these challenges through its Deep Observability Pipeline, which delivers network-derived telemetry such as metadata, packet data, and flow information to security and observability tools. This approach enables organizations to identify blind spots, improve performance, and enhance security across hybrid and multi-cloud environments.
Mark Leary, Research Director at IDC, noted that modern observability solutions must deliver consistent visibility across both on-premises and cloud-based systems. He emphasized that as infrastructure becomes more distributed, access to comprehensive telemetry is essential for maintaining operational resilience and supporting digital transformation initiatives.
Shane Buckley, President and CEO of Gigamon, stated that AI is fundamentally reshaping enterprise infrastructure and raising expectations for observability. He added that organizations now require complete, end-to-end visibility across all workloads and environments to effectively manage risk and complexity.
The growing importance of observability is also being driven by the need to deliver consistent digital experiences across users, applications, and connected devices, as well as the continued shift toward cloud-first infrastructure models. To further enhance its platform, Gigamon has introduced new AI-driven capabilities. These include Gigamon Insights, an agentic AI application designed to assist security and IT teams with faster investigation and response, and Gigamon AI Traffic Intelligence, which provides real-time visibility into generative AI and large language model traffic across multiple platforms.
These innovations build on the company’s existing observability framework, combining high-quality network telemetry with AI-powered analytics to help organizations strengthen security, optimize performance, and reduce operational complexity in increasingly dynamic IT environments.
Recommended Cyber Technology News :
- Cloud.in Partners TrendAI to Boost AI Data Security
- Ivanti Sovereign Cloud Enhances EU Data Security Compliance
- Cloudflare Enhances Agent Cloud for Advanced AI Development
To participate in our interviews, please write to our CyberTech Media Room at info@intentamplify.com
