AIOps Market Set to Grow at 19.2% CAGR to USD 87.6 Billion by 2035 as Companies Adopt AI-First IT Operations

AIOps Platform Market to Reach USD 87.6 Billion by 2035, Driven by Autonomous Agents, Observability, and AI-First IT Operations
The global AIOps platform market is projected to grow from USD 12.7 billion in 2025 to USD 87.6 billion by 2035, expanding at a CAGR of 19.2%. Growth is being driven by enterprises' need to manage increasingly complex hybrid and multi-cloud environments, reduce downtime with predictive analytics, and automate operations through autonomous AI agents and deep observability.

North America is the most mature and attractive region, accounting for roughly 67.2% of the market (≈USD 8.5 billion in 2025), reflecting rapid adoption of AI-enabled IT operations across large enterprises and public sector initiatives.

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Recent developments shaping the market
Digitate - ignio on AWS Marketplace (May 2025): Digitate made its flagship AIOps solution ignio broadly available on AWS Marketplace, simplifying procurement and cloud-native deployment for enterprises and managed service providers.

Riverbed - observability + AIOps upgrades (April 2025): Riverbed expanded its observability platform with new AIOps capabilities and additional data-collection modules to close visibility gaps and accelerate automated remediation.

IBM - third-party AI agents & strategic AIOps push (May 2025): IBM announced plans to integrate third-party AI agents (from platforms like Salesforce, Workday, Adobe) into its AIOps offerings to enhance customization and operational efficiency at scale.

Emerging marketplace & agentization: Platforms such as SuperOps launched AI-powered marketplaces for autonomous agents that automate ticketing and alert resolution, while startups raising growth capital signal venture interest in agentic automation.

AIOps Market Forecast to 2035
The market is expected to create an incremental opportunity of USD 74.9 billion from 2025-2035. Key structural takeaways:

Infrastructure management is the largest application slice (~44%) in 2025, as organizations prioritize tools that ensure stability and performance across distributed IT stacks.

Top-tier concentration: The market is highly consolidated - the top five vendors account for >65% of market share in 2025 - though specialist vendors and platform plays are rapidly expanding feature footprints.

North America leadership: High enterprise IT spend, early AI adoption, and large MSP ecosystems cement North America's dominance; expect continued leadership through 2035.

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Key drivers, restraints, and opportunities
Driver - Complexity of modern IT environments

Hybrid clouds, microservices, containerization, and IoT dramatically increase telemetry volumes. AIOps platforms synthesize logs, traces, metrics, and events with ML to provide real-time insights, predictive alerts, and automated remediation, reducing MTTR and operational cost.

Restraint - Legacy integration & organizational friction

Integrating AIOps with monolithic legacy systems and fragmented toolchains creates technical and organizational friction; high upfront integration effort and data-quality needs slow deployments for some enterprises.

Opportunity - AIOps beyond IT operations

AIOps capabilities are migrating into cybersecurity, customer experience, and business-process automation - opening domain-specific product lines and cross-sell motions (e.g., autonomous security triage, automated CX incident correlation).

Key trend - Autonomous AI agents

Autonomous agents that act (not just advise) are changing the value proposition: automated root-cause remediation, self-healing workflows, and agent marketplaces reduce manual toil and scale operational expertise programmatically.

Segment & use-case highlights
Infrastructure management (44%) - primary use: predictive maintenance, capacity planning, incident suppression, and automated remediation.

Real-time analytics & observability - AIOps tightens with observability stacks to turn high-cardinality telemetry into actionable, prioritized incidents.

DevOps/CI-CD integration - platforms that mesh with CI/CD pipelines streamline incident-to-fix flows and accelerate mean-time-to-repair inside development lifecycles.

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Regional snapshot
North America: Market leader (≈67.2% share) with heavy enterprise adoption, public-sector pilots, and a dense MSP/SaaS ecosystem.

Europe: Strong demand driven by regulated sectors and digital infrastructure modernization; growing interest in on-prem and sovereign AIOps deployments.

Asia-Pacific: Fastest growth potential as digital transformation accelerates across telecom, financial services, and large webscale operators.

Competitive landscape
The AIOps market is highly consolidated with Tier-1 incumbents holding the majority share, while Tier-2 and niche players (observability, specialist automation vendors, and AI-agent startups) drive innovation. Vendor differentiation hinges on:

breadth and depth of telemetry ingestion,

quality of ML models and explainability,

automation/agent execution capabilities, and

ease of integration with enterprise toolchains (ITSM, SIEM, orchestration).

Future outlook
By 2035, AIOps platforms will be foundational to digital resilience: autonomous operations, continuous assurance, and proactive optimization will be embedded in enterprise IT fabric. Expect:

marketplaces of certified autonomous agents,

tighter fusion of observability + AIOps for end-to-end automation,

expansion into non-IT domains (security, CX, operations), and

strong demand for explainable, auditable AI to meet governance needs.

AIOps will transition from a specialized IT efficiency tool to a horizontal, mission-critical capability for business continuity and agility.

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This release was published on openPR.