클라우드 모니터링 시장 : 시장 점유율 분석, 산업 동향, 통계, 성장 예측(2025-2030년)

The Cloud Monitoring Market size is estimated at USD 3.75 billion in 2025, and is expected to reach USD 9.30 billion by 2030, at a CAGR of 19.91% during the forecast period (2025-2030).

Accelerated multi-cloud adoption, AI workload visibility, FinOps accountability, and data-sovereignty mandates are reshaping vendor roadmaps. Enterprises are replacing point monitoring tools with unified platforms that ingest logs, metrics, traces, user experience, and cost signals in real time. OpenTelemetry's rapid standardization is lowering integration friction, while AI-driven anomaly detection shortens the mean time to resolution. Spending is shifting from pure infrastructure metrics toward full-stack intelligence that ties technical health to revenue impact. Competitive intensity remains moderate as hyperscale clouds embed native tooling, yet still partner with independent vendors to address hybrid estates.

Global Cloud Monitoring Market Trends and Insights

Accelerated Multi-Cloud and Hybrid-Cloud Adoption

Multi-cloud usage crossed a tipping point, with 43% of financial-services firms already distributing workloads across two or more hyperscalers in 2024. Each provider exports unique metrics, so operations teams face telemetry sprawl and blind spots. Unified platforms that normalise data across AWS, Azure, and Google Cloud are therefore replacing single-cloud monitors. Adoption of OpenTelemetry agents rose sharply because vendor-neutral instrumentation eases estate-wide coverage. Organisations also need correlated cost, performance, and compliance views when the same transaction spans on-premises and cloud nodes. These pressures elevate hybrid-cloud observability from optional to indispensable capability, pushing the cloud observability market toward deeper end-to-end context.

DevOps/SRE Culture and Real-Time Observability

Site Reliability Engineering is mainstreamed in large enterprises, cutting mean outage costs that exceed USD 1 million per hour. Teams now embed golden signals and service-level objectives into CI/CD pipelines so that defects surface before production rollouts. Full-stack insight lowers downtime by 79% versus siloed toolchains. AI-driven anomaly detection augments humans by surfacing precursors to incidents across logs and traces. Faster feedback loops also boost developer productivity, turning observability into a direct business enabler. The cloud observability market, therefore, benefits from budgets shifting left toward engineering teams rather than traditional IT operations.

Limited Visibility in Containerised, Serverless Stacks

Containers may live for seconds, while serverless functions spin up without agents, leaving gaps that legacy monitors cannot fill. Kubernetes adds torrent-level metadata, so brute-force collection inflates storage bills. Distributed tracing that stitches request paths across microservices, combined with eBPF-based low-overhead instrumentation, is emerging as the remedy. OpenTelemetry is pivotal yet still complex to deploy, explaining slower adoption among resource-constrained SMEs. Until turnkey instrumentation matures, observability gaps in ephemeral environments will drag on the cloud observability market CAGR.

Other drivers and restraints analyzed in the detailed report include:

1. AI/ML Workload Explosion Requiring GPU-Level Monitoring
2. FinOps Accountability and Cost-to-Value Optimisation Pressure
3. Rising TCO of Full-Stack Observability Platforms

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

Segment Analysis

SaaS platforms anchored 48% of 2024 revenue, underscoring demand for turnkey deployments that remove infrastructure overhead. PaaS solutions shape the fastest lane, growing 29.90% CAGR as users crave deeper code-level insight without managing collectors. IaaS tools retain relevance for hybrid estates that need on-premises collectors close to regulated data. The cloud observability market size for SaaS is forecast to widen by USD 2.7 billion between 2025 and 2030 as lagging industries migrate to managed services.

PaaS momentum reflects platform-engineering teams embedding observability into internal developer portals. Big-tech vendors integrate tracing, chaos testing, and KPI dashboards directly into build pipelines, reducing cognitive load. Combined with OpenTelemetry auto-instrumentation, this synergy accelerates time to value. Consequently, the cloud observability market records almost one-third of net-new bookings from PaaS deals targeting AI model observability and cost analytics.

Solution suites captured 62% revenue in 2024, covering data lakes, correlation engines, and UX analytics. Services consulting, onboarding, and managed observability grow 19.30% CAGR as enterprises struggle to hire observability engineers. Integrator demand is highest in regulated verticals where instrumentation must map to control frameworks.

Vendor roadmaps now bundle advisory hours, certified training, and quick-start packs that shorten proof-of-value cycles. LogicMonitor's USD 800 million funding earmarked for services expansion signals how professional expertise becomes a key moat. As frameworks evolve, recurring service contracts will comprise a larger slice of the overall cloud observability market revenue, deepening partner ecosystems.

The Cloud Monitoring Market Report is Segmented by Cloud Service Model (IaaS, Saas, Paas), Component (Solution and Services), Deployment Mode (Public Cloud, Private Cloud, and Hybrid/Multi-Cloud), Organization Size (SMEs and Large Enterprises), End-User Industry (BFSI, Retail and E-Commerce, IT and Telecommunications, Healthcare and Life Sciences, Government and Public Sector, Manufacturing, and Others), and Geography.

Geography Analysis

North America commanded 41% of 2024 revenue, reflecting decades-long DevOps maturity and heavy AI investment. Financial institutions cite median outage losses of USD 10.44 million per year, justifying premium tooling. Sovereign-cloud talk is muted, yet privacy laws still nudge data residency features. Growth moderates to low teens after 2027 as replacement cycles saturate, but AI observability upgrades sustain license expansion.

Asia Pacific is the fastest mover at 21.30% CAGR, propelled by cloud-first start-ups and government digital drives. India's public cloud outlay could reach USD 25.5 billion by 2028. Observability ROI tops 114% in Singapore and Indonesia, showcasing high payoff for downtime reduction. China's 6.192 trillion-yuan cloud sector, led by Alibaba Cloud's 43% hold, fuels local-language dashboards and in-country data lakes.

Europe records mid-teens CAGR as GDPR and upcoming AI Act cement data-protection demands. Accenture notes 37% of enterprises investing in sovereign cloud, with 44% planning more within two years. Vendors partner with regional hosts to ensure EU-located logging pipelines. Energy dashboards gain traction as climate reporting merges with performance metrics. These regional nuances collectively propel the cloud observability market toward diverse compliance-aware deployments.

1. AWS
2. Microsoft
3. Google Cloud
4. IBM
5. Oracle
6. Datadog
7. Dynatrace
8. New Relic
9. Broadcom (CA Tech/AppDynamics)
10. LogicMonitor
11. Splunk
12. SolarWinds
13. PagerDuty
14. Cisco ThousandEyes
15. Grafana Labs
16. Elastic
17. Zenoss
18. ScienceLogic
19. Idera

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 Accelerated multi-cloud and hybrid-cloud adoption
  • 4.2.2 DevOps/SRE culture and need for real-time observability
  • 4.2.3 AI/ML workload explosion requiring GPU-level monitoring
  • 4.2.4 FinOps accountability and cost-to-value optimisation pressure
  • 4.2.5 Sustainability dashboards for cloud-carbon reporting
  • 4.2.6 Sovereign-cloud and data-localisation mandates
• 4.3 Market Restraints
  • 4.3.1 Limited visibility in containerised, serverless stacks
  • 4.3.2 Rising TCO of full-stack observability platforms
  • 4.3.3 Skills gap for observability engineering
  • 4.3.4 Hyperscaler API-rate limits throttling deep telemetry
• 4.4 Value/Supply-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Bargaining Power of Buyers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry Intensity

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Cloud Service Model
  • 5.1.1 IaaS
  • 5.1.2 PaaS
  • 5.1.3 SaaS
• 5.2 By Component
  • 5.2.1 Solution
  • 5.2.2 Services
• 5.3 By Deployment Mode
  • 5.3.1 Public Cloud
  • 5.3.2 Private Cloud
  • 5.3.3 Hybrid/Multi-Cloud
• 5.4 By Organisation Size
  • 5.4.1 SMEs
  • 5.4.2 Large Enterprises
• 5.5 By End-User Industry
  • 5.5.1 BFSI
  • 5.5.2 Retail and e-Commerce
  • 5.5.3 IT and Telecommunications
  • 5.5.4 Healthcare and Life Sciences
  • 5.5.5 Government and Public Sector
  • 5.5.6 Manufacturing
  • 5.5.7 Others (Media, Energy, Education)
• 5.6 By Region
  • 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 Spain
    • 5.6.3.5 Russia
    • 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 Asia Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 United Arab Emirates
    • 5.6.5.2 Saudi Arabia
    • 5.6.5.3 South Africa
    • 5.6.5.4 Rest of Middle East and 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, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 AWS
  • 6.4.2 Microsoft
  • 6.4.3 Google Cloud
  • 6.4.4 IBM
  • 6.4.5 Oracle
  • 6.4.6 Datadog
  • 6.4.7 Dynatrace
  • 6.4.8 New Relic
  • 6.4.9 Broadcom (CA Tech/AppDynamics)
  • 6.4.10 LogicMonitor
  • 6.4.11 Splunk
  • 6.4.12 SolarWinds
  • 6.4.13 PagerDuty
  • 6.4.14 Cisco ThousandEyes
  • 6.4.15 Grafana Labs
  • 6.4.16 Elastic
  • 6.4.17 Zenoss
  • 6.4.18 ScienceLogic
  • 6.4.19 Idera

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-Need Assessment