IT Management Platforms Shift Toward AI-Driven Autonomy, ISG Research Shows
Enterprises are moving IT management platforms from reactive systems to autonomous operations powered by AI, according to new research from Information Services Group. The shift reflects growing pressure to manage complex IT environments and control costs as AI adoption accelerates.
ISG evaluated 83 software providers across seven categories of IT management tools. The research found that platforms have evolved into what the firm calls "operational control planes" - systems that coordinate people, processes, assets and technology across distributed environments spanning on-premises infrastructure, cloud services, SaaS applications and outsourced operations.
AI Moves from Workflow Tracking to Decision-Making
The key change: platforms are no longer just recording work. They're doing the work. AI systems now interpret context, generate actions and adapt workflows in real time rather than simply executing predefined steps.
Organizations already use machine learning and generative AI to summarize incidents, recommend fixes, generate automation scripts and speed up service delivery. The next phase involves what ISG calls "agentic AI" - systems that coordinate across multiple platforms with minimal human intervention.
ISG expects 50 percent of enterprises to adopt IT service management software with agentic AI by 2027 for proactive issue detection and incident resolution.
Visibility and Integration Become Critical
As platforms take on more autonomous functions, accurate data matters more. Security, compliance, cost control and system resilience all depend on clear visibility into assets, configurations, dependencies and service relationships.
IT management platforms are becoming the connective layer between observability tools, AIOps systems, cost management (FinOps), security operations and asset management. This integration provides the context needed to automate decisions across different domains.
Asset management itself is becoming more specialized. Organizations now evaluate software and hardware asset management separately, reflecting the complexity of SaaS licensing, cloud subscriptions and regulatory requirements.
What Managers Should Prioritize
Organizations evaluating new platforms should focus on strong workflow capabilities with broad ecosystem integration and high-quality operational data. A credible roadmap toward AI-enabled autonomy matters.
Governance and human oversight remain essential as enterprises delegate more decisions to AI systems. Transparency and operational safeguards will continue to be critical as platforms execute routine operations independently.
Learn more about AI Agents & Automation or explore an AI Learning Path for IT Managers to understand how these technologies apply to your operations.
Top Performers Across Categories
ServiceNow ranked as the top overall leader in IT service management, IT asset management, enterprise service management, AIOps and IT observability platforms. Dynatrace, Datadog, Microsoft and BMC also received top rankings across multiple categories.
ISG rated additional providers as exemplary or innovative based on product experience, capability, platform strength and customer experience. The complete rankings are available through ISG's Buyers Guides for IT Management.
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