2026自主IT元年：化自动化为行动的五大IT运维趋势研究报告

Autonomous IT is Closer Than You Think Based on survey data from 100 VP+ IT decision-makers withobservability budget authority, conducted in mid-2025. IT operations have outgrown themodel they were built on. Enterprises now monitor tens of thousands of metrics, ingestterabytes of logs, and generate thousands of alerts daily, allwhile managing increasingly complex infrastructures thatspan on-prem data centers, multiple cloud environments, andemerging AI workloads. Yet despite all this telemetry, too many teams still learn aboutoutages from customers before they see them in their tools.That visibility gap is no longer acceptable. Recent high-profile outages at CrowdStrike, Cloudflare, andothers have demonstrated just how quickly a small issuecan ripple across industries, interrupt daily life, and costcompanies billions. The next phase of AI-firstobservability requiressomething bigger. 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 iswhere business resilience is won or lost. This convergenceof hybrid infrastructure observability, Internet PerformanceMonitoring, and Digital Experience Monitoring is the realbeginning of autonomous IT. Leaders need tothink bigger. 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.This is autonomous IT, and it’s no longer theoretical. Unified data allows AI to work. AI delivers autonomouscapabilities that reduce incidents and justify continuedinvestment. This cycle is already forming inside the highest-performing organizations. Survey data from 100 VP+ IT decision-makers revealsfive forcesconverging to accelerate this shift. Each onereinforces the others (figure 1). We explore each of theseforces in further detail in the following sections. The companies that recognize this pattern and act decisivelywill transition from reactive to predictive, and ultimately, toautonomous operations. Those who treat these trends asisolated projects will fall behind as the gap between reactiveand autonomous operations widens–quickly. Cost pressuredrives consolidation.Consolidation createsunified data. Five Forces Converging TowardAutonomous IT Observability 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,with 62% anticipating increases. This isn’t immunity from budget scrutiny; it’s evidencethat observability has become foundational, strategicinfrastructure that leaders protect. Every company nowhas IT at its operational core—whether retail, banking,healthcare, or manufacturing—and protecting uptime hasbecome non-negotiable for business delivery. As enterprises adopt distributed architectures andAI-powered services, observability now extends frominternal systems to the Internet and customer-facinglayers. This makes comprehensive visibility critical—performance issues at any point directly impact revenue,customer retention, and service delivery. Investmentsincreasingly cover Internet performance and end-usermonitoring, beyond core infrastructure. Which IT initiative is currently receiving the highest level of strategicfocus and attention within your organization (e.g., top priority initiatives,executive attention, resource allocation? (up to 3) 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,observability spending remains stable or grows because itunderpins everything else: application performance, userexperience, security monitoring, and increasingly, the AIinitiatives receiving all that executive attention. 96% of IT leaders expectobservability budgets tohold steady or growthrough 2026. Protected budgets don’t mean static spending. Organizationsare actively reallocating spending toward outcomes ratherthan tools. The next trend shows where that redirection leads. Consolidation 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 m