자율형 IT 운영 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the autonomous IT operations market size is expected to grow from USD 14.88 billion in 2025 to USD 17.28 billion in 2026 and is forecast to reach USD 38.34 billion by 2031 at 17.28% CAGR over 2026-2031.

This report is Segmented by Component (Platform, and Services (Advisory Services, and More)), Deployment Mode (On-Premise, Cloud, and Hybrid), Organization Size (Large Enterprises, and Small and Medium Enterprises), Application (Application Performance Management, and More), Industry Vertical (IT and Telecom, BFSI, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Autonomous IT Operations Market Trends and Insights

Explosion of IT Telemetry Volumes Driving AI Correlation

Cloud-native microservices generate thousands of events per transaction, creating petabyte-scale observability pipelines that overwhelm traditional rules-based monitoring systems. These pipelines produce an immense volume of data that is challenging to manage and analyze effectively using conventional methods. To address this, AI-driven correlation engines have emerged as a critical solution, capable of condensing this overwhelming data torrent into actionable root-cause insights within seconds. These advanced platforms are designed to process trillions of dependencies daily, ensuring rapid identification and resolution of issues. For instance, retail and e-commerce operators increasingly rely on these AI-powered engines to anticipate and mitigate latency spikes during high-demand periods, such as seasonal sales peaks. By transitioning from reactive alerting to predictive remediation, businesses can enhance operational efficiency, improve customer experiences, and maintain seamless service delivery during critical times.

Rising Adoption of Hybrid and Multi-Cloud Architectures

Workloads span on-premise data centers, public clouds, and edge locations, creating significant visibility gaps that manual runbooks and traditional monitoring tools cannot effectively bridge. These gaps arise from the complexity and diversity of modern IT environments, where workloads run across multiple platforms and infrastructures. Autonomous IT operations platforms address this challenge by federating telemetry across heterogeneous estates, enabling seamless, unified policy enforcement regardless of workload location. This capability ensures consistent management and compliance across all environments, whether on-premise, in the cloud, or at the edge. Additionally, sovereign-cloud initiatives in regions such as Europe and the Middle East are driving the adoption of autonomous edge operations. These initiatives prioritize data sovereignty and security, encouraging the implementation of edge solutions that minimize data egress while maintaining operational efficiency and compliance with regional regulations.

Integration Complexity with Legacy IT Stacks

Mainframes, proprietary databases, and custom middleware often lack modern instrumentation, which forces enterprises to deploy additional agents to enable monitoring and data collection. These agents, however, increase latency and add to maintenance costs, creating operational inefficiencies. In brownfield environments, where legacy systems dominate, adoption cycles for modern solutions can extend beyond a year. This delay occurs as teams work to retrofit telemetry connectors, integrate legacy systems, and normalize disparate data formats to ensure compatibility. Vendors offering hybrid discovery engines provide a solution to these challenges. These engines can map SNMP-based devices alongside Kubernetes clusters, streamlining the process by automating asset discovery and reducing manual effort during integration.

Other drivers and restraints analyzed in the detailed report include:

1. Need to Reduce Mean Time to Resolution and Downtime Costs
2. Generative AI Copilots Improving AIOps Usability
3. Shortage of AIOps-Skilled Professionals

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

The platform segment accounted for 73.12% of the autonomous IT operations market share in 2025, as organizations consolidated point tools into unified engines capable of ingesting logs, metrics, traces, and events. The services segment is gaining momentum, driven by advisory, integration, and managed-operations packages that simplify complex deployments. During 2026-2031, services are projected to outpace platforms at 18.28% CAGR as enterprises seek faster time-to-value through external expertise. Vendors increasingly bundle platform licenses with managed services, shortening procurement cycles and smoothing consumption spikes.

The growing demand for continuous optimization is reshaping maintenance contracts into proactive engagements in which vendors retune correlation algorithms based on seasonal traffic patterns. Cross-selling opportunities have multiplied since large infrastructure providers integrated AIOps into existing estates, reinforcing platform stickiness while boosting services revenue. Consultant-led telemetry design has become pivotal for brownfield manufacturers and public agencies looking to modernize without disrupting mission-critical workloads.

On-premises installations accounted for the majority of the autonomous IT operations market share, at 52.24%, in 2025, due to strict data-residency and compliance requirements in healthcare and financial services. These industries prioritize on-premises solutions to ensure sensitive data remains within controlled environments and to adhere to stringent regulatory frameworks. Cloud deployments, however, are forecast to expand at a compound annual growth rate (CAGR) of 17.88% through 2031, as small and medium-sized enterprises (SMEs) increasingly adopt subscription-based models that eliminate the need for significant upfront capital expenditure. This shift allows SMEs to access advanced IT operations capabilities without the financial burden of maintaining physical infrastructure. Hybrid topologies are emerging as a preferred solution, enabling organizations to keep sensitive correlation workloads on-premises while leveraging the scalability and cost-efficiency of public cloud platforms for burst analytics.

Edge computing introduces an additional layer to this ecosystem by embedding lightweight correlation engines within operational environments such as factories and retail stores, where ultra-low latency, often measured in milliseconds, is critical for real-time decision-making. Recent platform updates that incorporate tiered storage solutions, storing hot data locally for immediate access and warm data in cloud object stores for cost efficiency, are helping organizations optimize both performance and expenses. Furthermore, certification frameworks like ISO/IEC 27001 are increasingly expanding their coverage to encompass entire hybrid estates, encouraging businesses to adopt a unified security approach across on-premises, cloud, and edge environments. This holistic view ensures that organizations can maintain robust security standards while benefiting from the flexibility and scalability of hybrid and edge computing solutions.

Geography Analysis

North America accounted for 32.78% of the autonomous IT operations market share in 2025, driven by the region's high concentration of hyperscalers and a robust DevOps talent pool. The United States leads the market with its advanced IT infrastructure and widespread adoption of automation technologies. Meanwhile, Canada's focus on digital transformation and Mexico's growing reliance on cloud platforms for operational efficiency further bolsters the region's dominance. Despite this, the Asia-Pacific region is expected to be the fastest-growing region, with a projected CAGR of 19.21%. Countries like China, India, and those in Southeast Asia are bypassing legacy systems and adopting greenfield cloud builds. In China, stringent data-localization laws are pushing domestic vendors to develop solutions optimized for sovereign clouds, while India's IT services giants are integrating AIOps into their managed services portfolios to enhance operational efficiency.

Europe's growth in the autonomous IT operations market remains steady, supported by strict regulatory frameworks such as GDPR and the EU AI Act. These regulations require vendors to incorporate features such as model lineage and transparency, thereby ensuring compliance and fostering trust among enterprises. The Middle East is making significant investments in smart-city platforms, which rely heavily on autonomous IT operations to maintain stringent service-level objectives. Similarly, South America is witnessing modernization in its telecom networks, with AIOps being adopted to manage the complexities of 5G network slicing. These advancements are enabling the region to improve network efficiency and reduce operational costs.

Africa, while still in the early stages of adopting autonomous IT operations, has considerable growth potential. The region's mobile operators are increasingly automating their extensive tower estates, which often span remote and underserved areas, to minimize the need for on-site staff. This shift toward automation is expected to address operational challenges and improve service delivery in the region. As global demand for autonomous IT operations continues to rise, regionssuch ase Africa are likely to play a more significant role in the market's future growth.

1. International Business Machines Corporation
2. Dynatrace, Inc.
3. Splunk Inc.
4. Cisco Systems, Inc.
5. Datadog, Inc.
6. Broadcom Inc.
7. ServiceNow, Inc.
8. BMC Software, Inc.
9. Micro Focus International plc
10. Elastic N.V.
11. ScienceLogic, Inc.
12. Moogsoft, Inc.
13. BigPanda, Inc.
14. LogicMonitor, Inc.
15. SolarWinds Corporation
16. New Relic, Inc.
17. PagerDuty, Inc.
18. Aisera, Inc.
19. Resolve Systems, LLC
20. OpsRamp, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Explosion of IT Telemetry Volumes Driving AI Correlation
  • 4.2.2 Rising Adoption of Hybrid and Multi-Cloud Architectures
  • 4.2.3 Need to Reduce Mean Time to Resolution and Downtime Costs
  • 4.2.4 Generative AI Copilots Improving AIOps Usability
  • 4.2.5 Data-Sovereignty Rules Fueling Autonomous Edge Operations
  • 4.2.6 ESG-Linked Green Ops Mandates for Energy Optimisation
• 4.3 Market Restraints
  • 4.3.1 Integration Complexity with Legacy IT Stacks
  • 4.3.2 Shortage of AIOps-Skilled Professionals
  • 4.3.3 AI Model Auditability under Emerging Regulations
  • 4.3.4 Vendor Lock-In from Proprietary Correlation Engines
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Suppliers
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Platform
  • 5.1.2 Services
    • 5.1.2.1 Advisory Services
    • 5.1.2.2 Integration and Implementation Services
    • 5.1.2.3 Support and Maintenance Services
• 5.2 By Deployment Mode
  • 5.2.1 On-Premise
  • 5.2.2 Cloud
  • 5.2.3 Hybrid
• 5.3 By Organization Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium Enterprises
• 5.4 By Application
  • 5.4.1 Application Performance Management
  • 5.4.2 Infrastructure Management
  • 5.4.3 Network and Security Management
  • 5.4.4 Real-Time Analytics and Event Correlation
  • 5.4.5 IT Service Management Automation
• 5.5 By Industry Vertical
  • 5.5.1 IT and Telecom
  • 5.5.2 BFSI
  • 5.5.3 Healthcare and Life Sciences
  • 5.5.4 Retail and eCommerce
  • 5.5.5 Manufacturing
  • 5.5.6 Government and Public Sector
  • 5.5.7 Other Industry Verticals
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 United Kingdom
    • 5.6.3.2 Germany
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 United Arab Emirates
      • 5.6.5.1.2 Saudi Arabia
      • 5.6.5.1.3 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Egypt
      • 5.6.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 International Business Machines Corporation
  • 6.4.2 Dynatrace, Inc.
  • 6.4.3 Splunk Inc.
  • 6.4.4 Cisco Systems, Inc.
  • 6.4.5 Datadog, Inc.
  • 6.4.6 Broadcom Inc.
  • 6.4.7 ServiceNow, Inc.
  • 6.4.8 BMC Software, Inc.
  • 6.4.9 Micro Focus International plc
  • 6.4.10 Elastic N.V.
  • 6.4.11 ScienceLogic, Inc.
  • 6.4.12 Moogsoft, Inc.
  • 6.4.13 BigPanda, Inc.
  • 6.4.14 LogicMonitor, Inc.
  • 6.4.15 SolarWinds Corporation
  • 6.4.16 New Relic, Inc.
  • 6.4.17 PagerDuty, Inc.
  • 6.4.18 Aisera, Inc.
  • 6.4.19 Resolve Systems, LLC
  • 6.4.20 OpsRamp, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment