Via EdgeIR.comA recent survey conducted by Zededa, a provider of edge management and orchestration software, revealed 86% of enterprises with active edge AI deployments are seeking agentic edge capabilities, including 15% that already include them in production for autonomous operations at the edge.

Edge AI has emerged as a significant component of IT and infrastructure budgets, with 30% of spending now funneled through these budgets as its role shifted from experiment to operational investment.

47% of enterprises adopt hybrid cloud-edge architectures, and AI inference is increasingly shifting to the edge for fast decision-making.

Top five use cases for edge AI are listed as customer experience improvement 45%, computer vision use in 45% of cases, real-time monitoring at (41%), energy optimization made at (40%) and predictive maintenance being utilized in (38%).

The challenges of scaling edge AI deployments include integration with current systems (34%), security concerns (32%) and lack of expertise (31%).

The sector is evolving from reactive monitoring to autonomous, goal-driven systems that adapt in real time at the edge.

Zededa’s open edge orchestration platform solves this by managing distributed AI workloads across hybrid environments with the right security and control.

The survey highlights the increasing importance of edge AI for organizations, with 83% of C-suite and IT executives saying its impact is critical to their business strategy.
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