2026年IT领导者可观测性与AI展望：自主IT时代即将到来

Autonomous IT is Closer Than You Think Based on survey data from 100 VP+ IT decision-makers withobservability budget authority, conducted in mid-2025. EXECUTIVE SUMMARY IT operations have outgrown the Enterprises now monitor tens of thousands of metrics, ingestterabytes of logs, and generate thousands of alerts daily, allwhile managing increasingly complex infrastructures that Yet despite all this telemetry, too many teams still learn aboutoutages from customers before they see them in their tools. Recent high-profile outages at CrowdStrike, Cloudflare, andothers have demonstrated just how quickly a small issuecan ripple across industries, interrupt daily life, and cost The next phase of AI-firstobservability requires It must extend beyond the data center and cloud. It mustencompass the Internet itself, where applications, identity,payments, APIs, and user experience actually live. This is Leaders need to The answer is not another tool or more humans chasing alerts.The real shift requires a new operating model that moves ITfrom reacting to predicting and from patching to self-healing. Unified data allows AI to work. AI delivers autonomouscapabilities that reduce incidents and justify continuedinvestment. This cycle is already forming inside the highest- The companies that recognize this pattern and act decisivelywill transition from reactive to predictive, and ultimately, toautonomous operations. Those who treat these trends as Survey data from 100 VP+ IT decision-makers revealsfive forcesconverging to accelerate this shift. Each onereinforces the others (figure 1). We explore each of these drives consolidation. Five Forces Converging TowardAutonomous IT 1Observability budgets are protected infrastructure Cost pressure is real. Organizations are being asked to do more with less. Yet observability budgets aren’t followingthe typical pattern. 96% of IT leaders expect observability spending to hold steady or grow over the next 12-24 months, This isn’t immunity from budget scrutiny; it’s evidencethat observability has become foundational, strategicinfrastructure that leaders protect. Every company now As enterprises adopt distributed architectures andAI-powered services, observability now extends frominternal systems to the Internet and customer-facinglayers. This makes comprehensive visibility critical— Which IT initiative is currently receiving the highest level of strategicfocus and attention within your organization (e.g., top priority initiatives, of IT leaders expectobservability budgets tohold steady or growthrough 2026.96% While AI initiatives command the highest share of strategicfocus (cited by 63% of leaders as a top priority), costsavings are coming from other areas, not the systems thatkeep infrastructure visible and operational. Tool sprawland rising telemetry costs create pressure to optimize. Yet, Protected budgets don’t mean static spending. Organizationsare actively reallocating spending toward outcomes rather 2Consolidation is the optimization strategy 84% of organizations are pursuing or considering tool consolidation. 41% are actively consolidating, while another 43% areevaluating it. Leaders now view consolidation as the most effective way to reduce cost, improve service delivery, and unlockthe unified data foundation that AI requires. Consolidation is no longer just a cost-saving measure. It is a strategic accelerator. The math is straightforward. Organizations running 2-3observability platforms (66% of respondents) or 4-5platforms (18%) pay for overlapping capabilities, duplicatedata pipelines, integration maintenance, plus bear the 84% Two-thirdsof organizationsuse 2–3 tools, while just10% The gap between the current state and the desired stateis massive. 74% indicate openness to a single platform if itmeets requirements—a remarkable willingness to consolidate operate from asingle platform today. During production incidents, engineers context-switchbetween platforms, manually correlate data across systems,and waste critical minutes assembling the complete picture.The cost of tool fragmentation goes beyond redundantlicensing and consumption fees. When incidents do occur—whether from faulty updates, misconfigurations, or system Forward-looking organizations are collapsing separatedomains (e.g., APM, NPM, IPM, and DEM) into unified platformsthat offer full-path visibility from user to code. This reduces The consolidation wave creates two outcomes that enableautonomous IT: it generates budget savings that can bereinvested in AI capabilities, and it establishes the unified Satisfaction with cost-effectiveness andactionable insightstrails Platform loyalty is giving way to agility 67% of IT leaders say their organization is likely to switch observability platforms within 1-2 years. This represents afundamental shift in enterprise software buying behavior. Platform decisions that once took years to revisit are now being The likelihood of switching breaks do