Xyte officially 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 and multi-source environments.

The company said that the report identifies signals shaping the next phase of enterprise AV operations. The responses indicated that AV data is not yet AI-ready, as 4% said their AV data is ready for AI workflows, while 68% described it as messy or siloed. The results also suggested that multi-vendor AV is now normal at scale, as 94% of managed devices now live in multi-brand tenants.

Xyte also said that in a sample of more than 6,000 offline incidents, roughly two-thirds appeared in shared dependency patterns, suggesting that most “device-down” events are not isolated device failures. The company also said that context changes the response, as correlating devices across rooms, sites, clouds and connection paths allows AV teams to compress alert storms into scoped incidents with clearer blast radius and likely cause.

Xyte said that the findings point to a shift, as 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 explored how connected context can reveal operational patterns, such as alert noise, failure signatures and energy waste. In one instance, 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.”

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