New Xyte Data Report Reveals Enterprise AV’s Next Leap: From Monitoring Devices to Understanding Context

Xyte has released its AV Cloud Data Report, Midyear 2026, highlighting how enterprise AV and IT teams are adapting to increasingly complex, multi-vendor environments. Based on industry polling and anonymized platform data, the report shows that while cloud-based device management is becoming standard, most organizations still struggle with siloed data that limits AI adoption. It also reveals that multi-brand AV deployments are now the norm, making better visibility across systems more important than ever.

The report emphasizes that the future of AV operations is about understanding context rather than simply monitoring devices. By connecting data across rooms, networks, cloud services, and devices, organizations can identify the root cause of issues faster, reduce alert overload, and improve operational efficiency. Xyte says this contextual approach will help enable AI-assisted workflows, smarter incident management, and more proactive AV service strategies.

Xyte, the AI-powered platform for managing connected workplace devices, today announced the release of its latest Xyte Labs report, AV Cloud Data Report, Midyear 2026: From Single Pane of Glass to Single Pane of Context. The report combines industry polling from the AV Cloud Summit Spring 2026 with anonymized Xyte platform telemetry to examine how enterprise AV and IT teams are managing increasingly complex, multi-vendor, multi-source environments.

The report identifies several signals shaping the next phase of enterprise AV operations, including:

• AV data is not yet AI-ready: Only 4% of respondents said their AV data is ready for AI workflows, while 68% described it as messy or siloed.
• Multi-vendor AV is now the norm at scale: Xyte platform data shows that 94% of managed devices now live in multi-brand tenants.
• Most “device-down” events are not isolated device failures: In a sample of more than 6,000 offline incidents, roughly two-thirds appeared in shared-dependency patterns, such as room-level drops, edge-path outages, cloud connector issues, or broader site events.
• Context changes the response: By correlating devices across rooms, sites, clouds, and connection paths, AV teams can compress alert storms into scoped incidents with clearer blast radius and likely cause.

Together, the findings point to a clear shift: enterprise AV teams are moving beyond basic cloud monitoring toward normalized, cross-vendor context that can support AI-assisted operations, guided remediation, and more proactive service models.

“Enterprise AI will only be as useful as the operational context it can access,” said Omer Brookstein, CEO and Co-founder of Xyte. “This report shows that the real opportunity is a single pane of context: one normalized layer that helps teams understand what changed, what broke, how far the impact spread, and what to do next.”

The report also explores how connected context can uncover operational patterns that would otherwise remain hidden, including alert noise, failure signatures, and energy waste. In one example, Xyte correlated occupancy and metered power data to show AV systems running on schedule rather than need, revealing a path to measurable energy savings.

“Raw alerts tell teams that something is offline. Context tells them whether the likely cause is the device, the room, the network, the connector, or something upstream,” said Johnny Bhonker, Director of Product at Xyte. “That distinction is critical for AI-assisted operations because it turns fragmented signals into explainable, actionable recommendations.”

Xyte Labs is Xyte’s innovation center, where the company transforms device data into the foundation for AI-powered operations, from unified orchestration and AI-assisted incident management to guided-healing workflows, environmental intelligence, CLI-driven operations, and agentic remediation.

The full AV Cloud Data Report, Midyear 2026 is available now from Xyte.