AIOps : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the AIOps market size stands at USD 18.95 billion in 2026 and is projected to reach USD 37.79 billion by 2031, reflecting a 14.8% CAGR.

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

Global AIOps Market Trends and Insights

AI-Driven Observability Demand Surge

Enterprises moved from 42% to 54% adoption of AI-powered monitoring between 2024 and 2025 as microservices generated tenfold more telemetry than monolithic stacks. Traditional rule-based alerts could not cope, producing storms that desensitized on-call teams. Machine-learning baselines now filter infrastructure noise and surface user-impacting incidents, shrinking triage queues. Datadog's LLM Observability, introduced in 2025, tracks token consumption and latency in generative AI workloads, a blind spot as customer-facing applications embed large language models. Finance leaders have doubled monitoring budgets because a single hour of downtime costs USD 2 million in lost transactions and compliance penalties. The magnitude of these losses explains why the AIOps market continues to accelerate.

Shift to Hybrid and Multi-Cloud Architectures

Hybrid and multi-cloud workloads climbed to 87% in 2025, up from 76% in 2023, as firms diversify suppliers and comply with data-residency rules. Every hyperscaler exposes a different telemetry model - AWS CloudWatch, Azure Monitor and Google Cloud Operations - forcing teams to normalize data before correlation. OpenTelemetry adoption reached 64% of cloud-native projects, but legacy systems still emit syslog and SNMP, prompting gateway translation. Cisco's post-acquisition fusion of AppDynamics and Splunk created a single pane for on-premise and cloud visibility. Sovereign-cloud regulations in the European Union and India require region-locked AIOps instances, fragmenting oversight while driving demand for federated analytics.

Tool Sprawl and ROI Uncertainty

Most enterprises still juggle multiple monitoring tools, fragmenting telemetry and inflating licensing overhead. Consolidation efforts intensified in 2025, yet integration complexity can postpone payback beyond eighteen months. Only a small subset of organizations achieved triple-digit return on investment inside the first year, while a quarter reported negative returns due to underused features. Overlaps among application, log and network monitoring create redundant alerts that drown operators in noise. Small and medium enterprises face sharper friction because many AIOps platforms assume 24/7 site reliability teams that these firms do not staff. Managed service providers help close gaps but often add margin, diluting ROI.

Other drivers and restraints analyzed in the detailed report include:

1. Need for Faster MTTR and SRE Adoption
2. Gen-AI Copilots for Ops Automation
3. Shortage of AIOps-Savvy Talent

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

Segment Analysis

Platform subscriptions captured 67.42% of 2025 spending, the largest slice of the AIOps market share for that year. The services segment, however, is projected to grow at a 16.04% CAGR to 2031 as organizations rely on external expertise to connect heterogeneous data feeds, tune baselines and automate remediation. This drift toward services underscores how black-box algorithms need context-specific calibration before they deliver value.

Professional services firms are embedding site reliability engineers inside client teams to accelerate adoption, while managed service providers offer follow-the-sun incident response priced on retainer. Vendor certification programs have become a parallel revenue stream and a way to expand the talent pool. Platform development is turning toward generative AI interfaces and edge inference, with DPUs and FPGAs driving sub-millisecond anomaly detection in industrial IoT environments. Environmental, social and governance metrics are also being woven into dashboards so that operational and sustainability priorities appear side by side.

On-premise implementations represented 56.66% of installed environments in 2025 as banks, hospitals and government agencies guarded sensitive telemetry within their own data centers. Cloud deployments are forecast to expand at a 15.66% CAGR through 2031 as hyperscalers embed native AIOps and offer sovereign regions that satisfy residency laws. The gradual shift is notable because cloud subscriptions eliminate capital outlays and scale elastically with workload growth, aligning cost with usage.

Hybrid architectures are emerging as a pragmatic compromise, retaining sensitive logs on-premise while allowing less-restricted data to flow into cloud-based analytics. Cloud-native vendors such as Datadog and New Relic enjoy outsized share among digital-first companies; Datadog's annual recurring revenue surpassed USD 2 billion in 2025. The European Union's GDPR fines and new sovereign clouds demonstrate how regulatory frameworks directly influence deployment choices. Over a five-year horizon, operating self-hosted stacks often costs considerably more than subscription services due to patching, scaling and hardware refresh cycles.

Complete Report Scope:

• By Component
  • Platform
  • Services
• By Deployment Mode
  • On-Premise
  • Cloud
• By Organization Size
  • Small and Medium Enterprises
  • Large Enterprises
• By End-User Industry
  • IT and Telecom
  • BFSI
  • Healthcare
  • Retail and E-Commerce
  • Media and Entertainment
  • Manufacturing
  • Government and Public Sector
  • Other End-User Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia Pacific
  • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Rest of Africa

Geography Analysis

North America commanded 42.54% of 2025 revenue, driven by mature IT operations capabilities and early-stage adoption of generative AI copilots. Financial institutions in the United States experience median outage costs of USD 2 million per hour, a figure that reinforces investment urgency. Vendor consolidation is most visible here, where large enterprises are standardizing on full-stack suites to satisfy audit and resilience mandates.

Asia Pacific is forecast to register the fastest 16.22% CAGR to 2031 as public-sector digitization programs and data-localization laws compel multinational firms to deploy region-specific observability stacks. India's Digital India initiative, China's 14th Five-Year Plan and Japan's Society 5.0 blueprint collectively pour billions into cloud infrastructure and IoT, generating new telemetry that requires automated correlation. Regional vendors such as Alibaba Cloud and Tencent Cloud embed AIOps in their services to cut reliance on Western software.

Europe remains a significant contributor, though growth is moderated by stringent privacy and AI governance regimes. The EU AI Act classifies AIOps applied to critical infrastructure as high risk, obliging transparency and human oversight. GDPR enforcement continues to impose hefty penalties when telemetry traverses borders without consent. Latin America, the Middle East and Africa are earlier in their adoption curve but are progressing through government modernization and telecom expansion projects that plant seeds for future uptake.

1. IBM Corporation
2. Cisco Systems, Inc. (AppDynamics, LLC)
3. Splunk LLC
4. Dynatrace, Inc.
5. Broadcom Inc. (including VMware, INC.: CA, Inc.)
6. BMC Software, Inc.
7. BigPanda, Inc.
8. Moogsoft, Inc.
9. Elastic N.V.
10. New Relic, Inc.
11. Datadog, Inc.
12. PagerDuty, inc.
13. ServiceNow, Inc. (Loom Systems, Inc.)
14. ExtraHop Networks, Inc.
15. StackState B.V.
16. OpsRamp, Inc. (a Hewlett Packard Enterprise company)
17. Juniper Networks, Inc. (Mist Systems, Inc.)
18. Microsoft Azure Monitor (Microsoft Corporation)
19. Amazon DevOps Guru (Amazon Web Services, Inc.)
20. Google Cloud AIOps (Operations Suite, Google LLC)
21. SolarWinds Worldwide, LLC
22. ScienceLogic, Inc.
23. LogicMonitor, 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 AI-Driven Observability Demand Surge
  • 4.2.2 Shift to Hybrid and Multi-Cloud Architectures
  • 4.2.3 Need for Faster MTTR and SRE Adoption
  • 4.2.4 Gen-AI Copilots for Ops Automation
  • 4.2.5 FPGA and DPU Acceleration at the Edge
  • 4.2.6 Rise of ESG-Linked "Green Ops" Compliance
• 4.3 Market Restraints
  • 4.3.1 Tool Sprawl and ROI Uncertainty
  • 4.3.2 Shortage of AIOps-Savvy Talent
  • 4.3.3 Data-Sovereignty and AI-Governance Hurdles
  • 4.3.4 Vendor Black-Box Algorithms and Lock-In Risk
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry
• 4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Platform
  • 5.1.2 Services
• 5.2 By Deployment Mode
  • 5.2.1 On-Premise
  • 5.2.2 Cloud
• 5.3 By Organization Size
  • 5.3.1 Small and Medium Enterprises
  • 5.3.2 Large Enterprises
• 5.4 By End-User Industry
  • 5.4.1 IT and Telecom
  • 5.4.2 BFSI
  • 5.4.3 Healthcare
  • 5.4.4 Retail and E-Commerce
  • 5.4.5 Media and Entertainment
  • 5.4.6 Manufacturing
  • 5.4.7 Government and Public Sector
  • 5.4.8 Other End-User Industries
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Rest of Europe
  • 5.5.4 Asia Pacific
    • 5.5.4.1 China
    • 5.5.4.2 India
    • 5.5.4.3 Japan
    • 5.5.4.4 South Korea
    • 5.5.4.5 Rest of Asia Pacific
  • 5.5.5 Middle East
    • 5.5.5.1 Saudi Arabia
    • 5.5.5.2 United Arab Emirates
    • 5.5.5.3 Rest of Middle East
  • 5.5.6 Africa
    • 5.5.6.1 South Africa
    • 5.5.6.2 Nigeria
    • 5.5.6.3 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 for Key Companies, Products & Services, and Recent Developments)
  • 6.4.1 IBM Corporation
  • 6.4.2 Cisco Systems, Inc. (AppDynamics, LLC)
  • 6.4.3 Splunk LLC
  • 6.4.4 Dynatrace, Inc.
  • 6.4.5 Broadcom Inc. (including VMware, INC.: CA, Inc.)
  • 6.4.6 BMC Software, Inc.
  • 6.4.7 BigPanda, Inc.
  • 6.4.8 Moogsoft, Inc.
  • 6.4.9 Elastic N.V.
  • 6.4.10 New Relic, Inc.
  • 6.4.11 Datadog, Inc.
  • 6.4.12 PagerDuty, inc.
  • 6.4.13 ServiceNow, Inc. (Loom Systems, Inc.)
  • 6.4.14 ExtraHop Networks, Inc.
  • 6.4.15 StackState B.V.
  • 6.4.16 OpsRamp, Inc. (a Hewlett Packard Enterprise company)
  • 6.4.17 Juniper Networks, Inc. (Mist Systems, Inc.)
  • 6.4.18 Microsoft Azure Monitor (Microsoft Corporation)
  • 6.4.19 Amazon DevOps Guru (Amazon Web Services, Inc.)
  • 6.4.20 Google Cloud AIOps (Operations Suite, Google LLC)
  • 6.4.21 SolarWinds Worldwide, LLC
  • 6.4.22 ScienceLogic, Inc.
  • 6.4.23 LogicMonitor, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment