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AIOps Platform Market - Global Forecast 2025-2032

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    Report

  • 185 Pages
  • November 2025
  • Region: Global
  • 360iResearch™
  • ID: 5888349
UP TO OFF until Jan 01st 2026
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The AIOps platform market is entering a phase of accelerated transformation, driven by enterprise demands for operational agility and resilient IT infrastructure. Senior technology and business leaders are adopting AIOps solutions to manage growing complexity, optimize service delivery, and support robust digital transformation across sectors.

Market Snapshot: AIOps Platform Market Growth and Outlook

The AIOps platform market grew from USD 13.95 billion in 2024 to USD 17.04 billion in 2025. It is expected to continue growing at a CAGR of 22.97%, reaching USD 73.02 billion by 2032. Leading organizations are leveraging these platforms to shift from reactive IT monitoring to proactive, analytics-driven management. This growth trajectory highlights how rapidly enterprises are prioritizing automation and advanced analytics to keep pace with evolving business needs and digital ecosystems.

Scope & Segmentation

  • Component: Encompasses platforms offering analytics, automation workflows, and event correlation, as well as services like consulting, implementation, and system integration.
  • Organization Size: Addresses both large enterprises with complex multi-cloud environments and small and medium enterprises seeking modular, scalable solutions.
  • Application: Covers application performance analysis, infrastructure management, network and security management, and real-time analytics.
  • Vertical: Includes banking, financial services & insurance (BFSI), energy & utilities, government & defense, healthcare & life sciences, IT & telecom, media & entertainment, and retail & eCommerce.
  • Deployment: Spans cloud-based and on-premise models, offering options around data sovereignty, elasticity, and update cycles.
  • Geography: Analyzes major regions—including the Americas, EMEA, and Asia-Pacific—and their respective sub-regions to account for regulatory, economic, and technology readiness differences.
  • Technology Providers: Evaluates a broad ecosystem from established industry giants to pure-play software vendors, as well as specialist firms offering innovative features and services.

Key Takeaways for Senior Decision-Makers

  • AIOps adoption empowers IT teams to pivot from manual responses toward intelligent, automated workflows, enhancing system stability and business continuity.
  • Hybrid and multi-cloud support in AIOps tools enables organizations to manage distributed IT resources more efficiently, building cross-environment visibility and reliability.
  • Organizations are increasingly integrating AIOps with DevOps pipelines to embed predictive insights within continuous development, reducing deployment risk and accelerating remediation.
  • The emergence of flexible licensing and consumption-based models helps organizations address budget pressures and adapt to shifting business priorities.
  • Strategic investments in data quality and aggregation processes enhance AIOps efficacy, supporting the delivery of accurate, actionable insights that underpin operational excellence.
  • Regional dynamics, such as stringent regulatory environments or rapid digitalization trends, require tailored AIOps strategies matched to local market maturity and compliance requirements.

Tariff Impact on AIOps Adoption and Supply Chain Dynamics

Anticipated United States tariff adjustments in 2025 are expected to influence procurement costs for hardware components integral to AIOps deployments. Enterprises may need to recalibrate allocated budgets or shift toward cloud-based consumption to contain capital expenditures. Increased costs in professional services—should global travel or supply logistics be impacted—may further drive demand for localized delivery models and diversified vendor ecosystems. Modular, software-centric offerings could help mitigate volatility and support robust service continuity in diverse regulatory landscapes.

Methodology & Data Sources

This report is built on extensive secondary research across industry publications, standards, and regulatory directives, combined with primary interviews with IT leaders and practitioners. Data validation included cross-referencing proprietary datasets, survey responses, and the application of triangulation, SWOT analysis, and technology maturity models to provide structured, actionable insights.

AIOps Platform Market: Why This Report Matters

  • Enables executive teams to align operational investments with emerging AI and automation trends, maximizing long-term digital transformation outcomes.
  • Delivers actionable recommendations tailored to IT infrastructure leaders facing shifting supply chain, regulatory, and market pressures.
  • Equips organizations to benchmark vendor strategies and select solutions best suited to evolving business and compliance needs.

Conclusion

The AIOps platform market is reshaping operational models across sectors by merging automation, data science, and strategic risk management. Senior leaders equipped with these insights can accelerate transformation, strengthen organizational resilience, and enhance IT-driven business value.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Leveraging edge computing integrated with AIOps to deliver low-latency anomaly detection for IoT and industrial applications
5.2. Deployment of conversational AI agents integrated with DevOps pipelines to streamline automated remediation processes
5.3. Leveraging digital experience monitoring combined with AIOps to enhance end user performance and satisfaction at scale
5.4. Utilization of predictive analytics for capacity planning and root cause analysis in complex microservices architectures
5.5. Implementation of unified observability platforms leveraging machine learning for real-time performance monitoring
5.6. Adoption of AI-driven anomaly detection in hybrid cloud infrastructures for proactive fault remediation
5.7. Integration of generative AI models with IT service management workflows to automate cross-domain incident resolution
5.8. Applying reinforcement learning algorithms to optimize dynamic resource allocation in multi-cloud AIOps workflows
5.9. Implementing explainable AI frameworks within AIOps to improve transparency and trust in automated decision making
5.10. Developing event correlation engines enhanced by graph neural networks for faster incident detection and root cause pinpointing
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. AIOps Platform Market, by Component
8.1. Platform
8.2. Services
8.2.1. Consulting
8.2.2. Implementation
8.2.3. System Integration
9. AIOps Platform Market, by Organization Size
9.1. Large Enterprises
9.2. Small & Medium Enterprises
10. AIOps Platform Market, by Application
10.1. Application Performance Analysis
10.2. Infrastructure Management
10.3. Network & Security Management
10.4. Real-Time Analytics
11. AIOps Platform Market, by Vertical
11.1. Banking, Financial Services & Insurance (BFSI)
11.2. Energy & Utilities
11.3. Government & Defense
11.4. Healthcare & Life Sciences
11.5. IT & Telecom
11.6. Media & Entertainment
11.7. Retail & eCommerce
12. AIOps Platform Market, by Deployment
12.1. Cloud
12.2. On-Premise
13. AIOps Platform Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. AIOps Platform Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. AIOps Platform Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. Amazon Web Services, Inc.
16.3.2. BigPanda, Inc.
16.3.3. BMC Software, Inc.
16.3.4. Broadcom Inc.
16.3.5. Cisco Systems, Inc.
16.3.6. CloudFabrix Software Inc.
16.3.7. Cloudwise
16.3.8. Datadog, Inc.
16.3.9. Dell Inc.
16.3.10. Dynatrace, Inc.
16.3.11. Elasticsearch B.V.
16.3.12. GAVS Technologies
16.3.13. Google LLC by Alphabet Inc.
16.3.14. HCL Technologies Limited
16.3.15. Hewlett Packard Enterprise Company
16.3.16. Hexaware Technologies Limited
16.3.17. Infosys Ltd.
16.3.18. International Business Machines Corporation
16.3.19. LogicMonitor Inc.
16.3.20. LTIMindtree Limited
16.3.21. MeshIQ
16.3.22. Microsoft Corporation
16.3.23. Netreo, Inc.
16.3.24. New Relic, Inc.
16.3.25. OKESTRO Co., Ltd.
16.3.26. OpenText Corporation
16.3.27. Oracle Corporation
16.3.28. PagerDuty, Inc.
16.3.29. Prodapt Solutions Private Limited
16.3.30. ProphetStor Data Services, Inc.
16.3.31. ScienceLogic, Inc.
16.3.32. Selector Software, Inc.
16.3.33. ServiceNow, Inc.
16.3.34. Tata Consultancy Services Limited
16.3.35. Tech Mahindra Limited
16.3.36. VuNet Systems Private Limited
16.3.37. Wipro Limited
16.3.38. Zenoss Inc.
16.3.39. Zoho Corporation

Companies Mentioned

The companies profiled in this AIOps Platform market report include:
  • Amazon Web Services, Inc.
  • BigPanda, Inc.
  • BMC Software, Inc.
  • Broadcom Inc.
  • Cisco Systems, Inc.
  • CloudFabrix Software Inc.
  • Cloudwise
  • Datadog, Inc.
  • Dell Inc.
  • Dynatrace, Inc.
  • Elasticsearch B.V.
  • GAVS Technologies
  • Google LLC by Alphabet Inc.
  • HCL Technologies Limited
  • Hewlett Packard Enterprise Company
  • Hexaware Technologies Limited
  • Infosys Ltd.
  • International Business Machines Corporation
  • LogicMonitor Inc.
  • LTIMindtree Limited
  • MeshIQ
  • Microsoft Corporation
  • Netreo, Inc.
  • New Relic, Inc.
  • OKESTRO Co., Ltd.
  • OpenText Corporation
  • Oracle Corporation
  • PagerDuty, Inc.
  • Prodapt Solutions Private Limited
  • ProphetStor Data Services, Inc.
  • ScienceLogic, Inc.
  • Selector Software, Inc.
  • ServiceNow, Inc.
  • Tata Consultancy Services Limited
  • Tech Mahindra Limited
  • VuNet Systems Private Limited
  • Wipro Limited
  • Zenoss Inc.
  • Zoho Corporation

Table Information