Fragmented monitoring and rising costs push UK organisations toward AI-driven observability
LONDON, March 26, 2026–(BUSINESS WIRE)–LogicMonitor®, the AI-first platform for Autonomous IT, today released new research showing UK IT leaders are reaching a critical inflection point in how they manage observability. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organisations to rethink their operational strategies and consolidate tools.
Investment is accelerating. 91% of UK IT leaders plan to increase observability spending over the next 12-24 months, and 86% plan to invest more in monitoring tools. At the same time, more than one in five are still evaluating or planning new observability deployments within the year, underscoring how rapidly operational demands are evolving.
Key findings:
97% of UK IT leaders would consider consolidating into a single observability platform if it met their needs
22% are evaluating or planning new observability or monitoring implementations in the next 12 months
46% cite cost as the biggest challenge with existing monitoring tools
The top drivers for AI-driven observability are cost and resource optimisation (49%), enhanced predictive analytics (36%) and automated remediation (34%)
AI (49%), observability (47%), and cybersecurity (45%) rank as the top IT investment priorities
Expectations of observability are shifting. Rather than responding to outages after they occur, organisations are placing greater emphasis on earlier detection, predictive insight and faster resolution. The move reflects a broader transition from reactive monitoring toward more proactive and resilient IT operations.
However, AI observability adoption and maturity is splintered across Europe. In the UK, 44% of senior IT decision makers say their organisations are fully leveraging AI compared with 14% in France, 22% in DACH and 24% in Benelux. Despite these differences, the same structural challenges persist across markets. This creates a growing divide between AI ambition and operational readiness, with many organisations lacking the unified data foundations required to scale AI-driven resilience.
Senior IT leaders report using an average of three observability or monitoring tools simultaneously, while only around one in ten rely on a single source of operational truth. Fragmented tooling continues to limit the full potential of AI-driven operations. Catchpoint’s SRE Report 2025 found similar supporting data, with 25% of businesses operating with six to ten monitoring tools.
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