Your Peers Are Already Deploying Edge AI. Here's What They Know

Most organisations have moved past the “should we do this?” conversation. 83% of IT and operations leaders we surveyed say edge AI is important to their core strategy, and deployment is well underway across everything from predictive maintenance to real-time anomaly detection.

But that doesn’t mean it’s easy.

Nearly half of respondents say managing AI workloads across distributed edge environments is a real challenge. Integration headaches, skills gaps, and security concerns are slowing progress for a lot of teams. Sound familiar?

This report gives you a clear, honest picture of where things stand, so you can benchmark your own progress and figure out your next move. 

Here’s a snapshot of what you’ll learn:

• 83% say edge AI is a strategic priority for their organisation over the next 12–24 months
• 86% of enterprises with active edge AI deployments are pursuing agentic edge capabilities
• 41% say managing AI workloads across distributed edge environments is genuinely challenging today
• 45% already have computer vision and customer experience optimisation live in production

Read the report to discover:

• What’s live right now: Production deployment rates across computer vision, predictive maintenance, real-time monitoring, autonomous systems, and more
• Where budgets are coming from: Whether it’s centralised IT spend, joint IT/business funding, or innovation budgets, and how that breaks down by company size
• The real blockers: Integration complexity, security and governance gaps, and lack of in-house expertise top the list – see how your challenges stack up
• How success gets measured: Operational efficiency, cost reduction, and safety improvements lead the way as the top AI success metrics
• The autonomous AI opportunity: Half of organisations are still exploring autonomous agents. Find out what the early movers are already doing differently
• US vs. Germany: The two markets differ more than you might expect on maturity, deployment confidence, and where they feel the most pain

Whether you’re deep into deployment or still figuring out your edge AI strategy, this report gives you the real-world context you need to move forward with confidence.