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1857037

全球雲端原生可觀測性工具市場：預測至 2032 年 - 按組件、部署方式、組織規模、最終用戶和地區進行分析

Cloud-Native Observability Tools Market Forecasts to 2032 - Global Analysis By Component, Deployment Model, Organization Size (Small and Medium Enterprises, and Large Enterprises), End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球雲端原生可觀測工具市場預計到 2025 年將達到 33 億美元，到 2032 年將達到 95 億美元，預測期內複合年成長率為 16%。

雲端原生可觀測性工具收集、關聯和分析遠端檢測指標、日誌和追蹤數據，從而提供跨容器、微服務和無伺服器架構的端到端可視性。這些工具可協助 DevOps 和 SRE 團隊在高度動態的環境中快速偵測事件並分析根本原因。雲端的成長動力源自於向雲端的遷移、微服務的採用以及管理複雜混合環境的需求。

根據雲端原生運算基金會 (CNCF) 的數據，2022 年至 2024 年間，雲端原生可觀測性工具的採用率將成長超過 45%，這將使企業能夠更好地大規模監控其基礎設施和應用程式。

微服務複雜性需要全端可視性

微服務的興起導致了應用架構的碎片化，從而推動了對日誌、指標、追蹤和事件的端到端可視性的需求。統一遙測資料的可觀測性平台使工程師能夠查看請求流程、識別級聯故障，並將基礎設施訊號與使用者影響關聯起來。 DevOps 和 SRE 團隊依靠情境追蹤和即時指標來縮短平均故障解決時間、維持服務等級目標並支援漸進式交付。此外，全面的可觀測性有助於容量規劃和事後學習，因此企業必須採用一套整合套件，以簡化在高度動態的雲端環境中進行除錯。

工具擴散和整合面臨的挑戰

各種獨立解決方案和廠商特定代理商的激增，導致工具種類繁多，使得大規模可觀測性變得複雜。多重遠端檢測管道、不一致的資料模型和薄弱的整合造成了維運開銷和盲點，延長了調查時間並推高了成本。企業在努力協調高基數資料集、維護統一的模式和高效能儲存的同時，也要避免廠商鎖定，這令企業舉步維艱。由於團隊需要權衡整合風險和整體擁有成本，這些限制因素阻礙了技術的普及應用。

整合AIOps實現自動化異常檢測

隨著團隊尋求自動化事件檢測並減少警報疲勞，可觀測性與 AIOps 的整合帶來了巨大的成長機會。將機器學習應用於關聯的追蹤、指標和日誌，可以發現異常模式、預測效能下降，並對高影響事件進行優先排序以便進行分類處理。將可觀測訊號轉化為可執行的劇本、自動化修復和智慧路由的整合，能夠提高營運效率並減少停機時間。此外，AIOps主導的洞察能夠實現主動容量規劃和持續可靠性改進，使可觀測性平台對工程組織更具戰略意義，並對尋求自動化的企業買家更具吸引力。

資料安全和合規性問題

資料安全和合規性是可觀測性平檯面臨的主要威脅，因為這類平台會收集敏感的應用程式和使用者遙測資料。日誌、追蹤資料或元資料若保護不當，可能會洩露個人識別資訊、智慧財產權或系統內部訊息，造成法律和聲譽風險。 GDPR、HIPAA 等嚴格標準以及特定產業要求都強制要求供應商和買家採用加密、存取控制和穩健的資料保留策略。此外，多租戶雲端環境和第三方整合擴大了攻擊面，迫使企業在資料可見性和最大限度降低風險之間尋求平衡。

新冠疫情的影響：

疫情加速了雲端運算和遠距辦公的普及，隨著團隊轉向分散式辦公室和微服務架構，對雲端原生可觀測性的需求也隨之成長。短期內，企業爭相部署服務偵測和SaaS監控，以支援遠端故障排除和維護執行時間。隨著時間的推移，這促使企業持續投資於支援混合架構、遠端事件回應和分散式SRE實踐的集中式可觀測性平台。這項轉變也凸顯了工具和技能方面的不足，促使供應商更加重視易於部署、可擴展儲存以及支援分散式工程團隊的整合。

預計在預測期內，解決方案板塊將成為最大的板塊。

預計在預測期內，解決方案領域將佔據最大的市場佔有率，因為它直接滿足從數據收集到洞察的整個可觀測性需求。成熟的解決方案供應商提供模組化架構、開放式遙測支援以及企業級安全、存取控制和合規性功能，以滿足採購需求。長期合約、託管服務和企業級支援能夠帶來穩定的收入來源，而整合解決方案則透過整合資料管道和分析功能來降低整體擁有成本。因此，機構投資者正在採用能夠簡化跨各種應用程式的操作並加快事件回應速度的解決方案套件。

預計在預測期內，雲端基礎的細分市場將以最高的複合年成長率成長。

預計在預測期內，雲端基礎領域將呈現最高的成長率。快速的數位轉型和容器化配置正在推動對託管式可觀測性的廣泛需求，這種可觀測性能夠適應短暫的工作負載和多樣化的遙測資料量。雲端基礎供應商不斷提升資料攝取吞吐量，提供分層保留策略，並能輕鬆整合到 CI/CD 管線和編配系統中。這種模式支援需要低延遲全球存取的分散式團隊，並減少了平台工程所需的時間。隨著企業將敏捷性和營運效率置於優先地位，基於訂閱的託管儲存和分析可觀測性正成為首選方案，加速了雲端採用和市場成長。

區域佔有率

預計北美將在預測期內佔據最大的市場佔有率。北美的主導地位得益於其成熟的雲端基礎設施、早期採用者以及強大的超大規模雲端服務和可觀測性供應商。擁有複雜微服務架構的大型科技、金融數位原民企業正在推動對高級可觀測性解決方案和託管服務的巨大需求。此外，高額的研發預算、強大的專業服務生態系統以及對新興企業的有利資金籌措，正在促進持續創新和產品的快速普及。該地區的企業優先考慮可靠性、安全性和合規性，並支援提供企業級功能和長期合約的供應商產品。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於快速的雲端遷移、強勁的開發者成長以及平台工程投資的不斷增加，這些因素正在加速可觀測性技術的普及應用。數位原民企業的興起、區域雲端服務供應商的擴張以及行動優先應用的廣泛應用，都推動了對可擴展遠端檢測和分散式追蹤的需求。本地供應商和全球參與企業正在透過高效的資料收集和儲存模型，為注重成本的客戶量身定做產品和服務。此外，大型企業和政府現代化計劃對數位化韌性的日益重視，也推動了亞太市場採購週期的加速和年增速的提升。

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訂閱本報告的用戶可從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他公司進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
  • 競爭基準化分析
    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球雲端原生可觀測工具市場（按組件分類）

  • 解決方案
    • 應用效能監控 (APM)
    • 日誌管理
    • 指標監控
    • 分散式追蹤
    • AIOps平台
  • 服務
    • 諮詢
    • 整合與實施
    • 支援與維護

6. 全球雲端原生可觀測性工具市場（以部署方式分類）

  • 雲端基礎的
  • 本地部署
  • 混合

7. 全球雲端原生可觀測工具市場（依組織規模分類）

  • 小型企業
  • 主要企業

8. 全球雲端原生可觀測性工具市場（依最終用戶分類）

  • 資訊科技（IT）/通訊
  • 銀行、金融服務和保險（BFSI）
  • 醫療保健
  • 零售與電子商務
  • 製造業
  • 能源與公用事業
  • 政府/公共部門

9. 全球雲端原生可觀測工具市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第11章：公司簡介

  • Amazon Web Services, Inc.
  • AppDynamics（Cisco Systems, Inc.）
  • Acceldata
  • Cloudflare
  • Coralogix
  • Datadog, Inc.
  • Dynatrace LLC
  • Elastic NV
  • Grafana Labs
  • Google
  • IBM Corporation
  • Instana（an IBM Company）
  • LogicMonitor Inc.
  • Microsoft Corporation
  • Monte Carlo
  • New Relic, Inc.
  • Riverbed Technology
  • ScienceLogic
  • ServiceNow（Lightstep）
  • Splunk Inc.
Product Code: SMRC31902

According to Stratistics MRC, the Global Cloud-Native Observability Tools Market is accounted for $3.3 billion in 2025 and is expected to reach $9.5 billion by 2032 growing at a CAGR of 16% during the forecast period. Cloud-native observability tools collect, correlate, and analyze telemetry metrics, logs, and traces to deliver end-to-end visibility across containers, microservices, and serverless architectures. They help DevOps and SRE teams perform rapid incident detection and root-cause analysis in highly dynamic environments. Growth follows cloud migration, microservices adoption, and the need to manage complex hybrid estates.

According to CNCF (Cloud Native Computing Foundation), adoption of cloud-native observability tools grew by more than 45% between 2022 and 2024, enhancing infrastructure and application monitoring for enterprises operating at scale.

Market Dynamics:

Driver:

Micro services complexity requiring full-stack visibility

The rise of microservices has fragmented application architectures and elevated the need for end-to-end visibility across logs, metrics, traces, and events. Observability platforms that unify telemetry enable engineers to see request flows, identify cascading failures, and correlate infrastructure signals with user impact. DevOps and SRE teams depend on contextual tracing and real-time metrics to reduce mean time to resolution, preserve service-level objectives, and support progressive delivery. Furthermore, comprehensive observability informs capacity planning and post-incident learning, prompting organizations to adopt integrated suites that simplify debugging in highly dynamic clouds.

Restraint:

Tool sprawl and integration challenges

A proliferation of point solutions and vendor-specific agents has produced tool sprawl that complicates observability at scale. Multiple telemetry pipelines, inconsistent data models, and fragile integrations create operational overhead and blind spots that lengthen investigations and raise costs. Organisations struggle to reconcile high-cardinality datasets, unify schemas, and maintain performant storage while avoiding vendor lock-in. This restraint slows adoption, as teams weigh total cost of ownership and integration risk.

Opportunity:

AIOps integration for automated anomaly detection

The convergence of observability with AIOps represents a major growth opportunity as teams seek to automate incident detection and reduce alert fatigue. Machine learning applied to correlated traces, metrics, and logs can surface anomalous patterns, predict degradations, and prioritize high-impact incidents for triage. Integrations that translate observability signals into actionable playbooks, automated remediation, and intelligent routing increase operational efficiency and shorten downtime. Additionally, AIOps-driven insights enable proactive capacity planning and continuous reliability improvements, making observability platforms more strategic to engineering organisations and attractive to enterprise buyers pursuing automation.

Threat:

Data security and compliance concerns

As observability platforms ingest sensitive application and user telemetry, data security and regulatory compliance have become significant threats. Improperly protected logs, traces, or metadata can expose personally identifiable information, intellectual property, or system internals, creating legal and reputational risks. Strict standards such as GDPR, HIPAA, and industry-specific requirements compel vendors and buyers to adopt encryption, access controls, and robust retention policies. Moreover, multi-tenant cloud environments and third-party integrations amplify attack surfaces, forcing organisations to balance visibility with minimised data exposure.

Covid-19 Impact:

The pandemic accelerated cloud adoption and remote operations, increasing demand for cloud-native observability as teams transitioned to distributed work and microservices. Short-term, organisations rushed to instrument services and deploy SaaS monitoring to support remote troubleshooting and maintain uptime. Over time, this led to sustained investment in centralized observability platforms that support hybrid architectures, remote incident response, and distributed SRE practices. The shift also highlighted gaps in tooling and skills, prompting vendors to focus on ease of deployment, scalable storage, and integrations that support dispersed engineering teams.

The solutions segment is expected to be the largest during the forecast period

The solutions segment is expected to account for the largest market share during the forecast period because they directly address observability requirements from ingestion to insight. Mature solution vendors offer modular architectures, support for open telemetry, and enterprise features security, access control, and compliance that align with procurement needs. Long-term contracts, managed services, and enterprise support drive stable revenue streams, while integrated solutions reduce total cost of ownership by consolidating data pipelines and analytics. Consequently, institutional buyers tend to standardise on solution suites that simplify operations and accelerate incident response across diverse applications.

The cloud-based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate. Rapid digital transformation and containerized deployments are driving broad demand for hosted observability that can scale with ephemeral workloads and diverse telemetry volumes. Cloud-based vendors continuously enhance ingestion throughput, offer tiered retention policies, and integrate easily with CI/CD pipelines and orchestration systems. This model supports distributed teams requiring low-latency global access and reduces time spent on platform engineering. As companies prioritize agility and operational efficiency, subscription-based observability with managed storage and analytics becomes the preferred choice, accelerating cloud adoption and market growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. North America's mature cloud infrastructure, early adopter enterprises, and strong presence of hyperscalers and observability vendors underpin its leading market position. Large technology, financial, and digital-native companies with complex microservices architectures drive significant demand for advanced observability solutions and managed services. Additionally, high R&D budgets, robust professional services ecosystems, and favourable funding for startups foster continuous innovation and rapid product adoption. Enterprises in the region prioritise reliability, security, and compliance, supporting vendor offerings that deliver enterprise-grade features and long-term contracts.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to rapid cloud migration, strong developer growth, and rising investment in platform engineering, which together fuel accelerated observability adoption. Growing numbers of digital-native firms, regional cloud provider expansion, and the proliferation of mobile-first applications increase the need for scalable telemetry and distributed tracing. Local vendors and global entrants are tailoring offerings to cost-sensitive customers with efficient ingestion and storage models. Furthermore, increased focus on digital resilience by large enterprises and government modernization projects is prompting faster procurement cycles and higher year-on-year growth across APAC markets.

Key players in the market

Some of the key players in Cloud-Native Observability Tools Market include Amazon Web Services, Inc., AppDynamics (Cisco Systems, Inc.), Acceldata, Cloudflare, Coralogix, Datadog, Inc., Dynatrace LLC, Elastic N.V., Grafana Labs, Google, IBM Corporation, Instana (an IBM Company), LogicMonitor Inc., Microsoft Corporation, Monte Carlo, New Relic, Inc., Riverbed Technology, ScienceLogic, ServiceNow (Lightstep), and Splunk Inc.

Key Developments:

In May 2024, AWS announced the general availability of Amazon CloudWatch Logs data protection and a new natural language query generation feature for CloudWatch Logs Insights, enhancing data security and simplifying log analysis for cloud-native environments.

In May 2024, Grafana Labs announced the general availability of Grafana Alloy, a vendor-neutral, open source distribution of the OpenTelemetry Collector, providing a flexible and powerful way to collect and ship observability data from cloud-native environments.

In May 2024, IBM announced the launch of IBM Watsonx Code Assistant for Z, which, while mainframe-focused, is part of a broader portfolio update emphasizing AI-powered automation that integrates with IBM's observability tools for hybrid cloud.

In March 2024, Cisco announced new AI-assist features for the AppDynamics Cloud observability platform, designed to help teams automatically identify performance anomalies, uncover root causes, and optimize cloud-native applications.

Components Covered:

  • Solutions
  • Services

Deployment Models Covered:

  • Cloud-Based
  • On-Premises
  • Hybrid

Organization Sizes Covered:

  • Small and Medium Enterprises (SMEs)
  • Large Enterprises

End Users Covered:

  • Information Technology and Telecommunications
  • Banking, Financial Services, and Insurance (BFSI)
  • Healthcare
  • Retail and E-Commerce
  • Manufacturing
  • Energy and Utilities
  • Government and Public Sector

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Cloud-Native Observability Tools Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Application Performance Monitoring (APM)
    • 5.2.2 Log Management
    • 5.2.3 Metrics Monitoring
    • 5.2.4 Distributed Tracing
    • 5.2.5 AIOps Platforms
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Integration and Implementation
    • 5.3.3 Support and Maintenance

6 Global Cloud-Native Observability Tools Market, By Deployment Model

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premises
  • 6.4 Hybrid

7 Global Cloud-Native Observability Tools Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small and Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Cloud-Native Observability Tools Market, By End User

  • 8.1 Introduction
  • 8.2 Information Technology and Telecommunications
  • 8.3 Banking, Financial Services, and Insurance (BFSI)
  • 8.4 Healthcare
  • 8.5 Retail and E-Commerce
  • 8.6 Manufacturing
  • 8.7 Energy and Utilities
  • 8.8 Government and Public Sector

9 Global Cloud-Native Observability Tools Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Amazon Web Services, Inc.
  • 11.2 AppDynamics (Cisco Systems, Inc.)
  • 11.3 Acceldata
  • 11.4 Cloudflare
  • 11.5 Coralogix
  • 11.6 Datadog, Inc.
  • 11.7 Dynatrace LLC
  • 11.8 Elastic N.V.
  • 11.9 Grafana Labs
  • 11.10 Google
  • 11.11 IBM Corporation
  • 11.12 Instana (an IBM Company)
  • 11.13 LogicMonitor Inc.
  • 11.14 Microsoft Corporation
  • 11.15 Monte Carlo
  • 11.16 New Relic, Inc.
  • 11.17 Riverbed Technology
  • 11.18 ScienceLogic
  • 11.19 ServiceNow (Lightstep)
  • 11.20 Splunk Inc.

List of Tables

  • Table 1 Global Cloud-Native Observability Tools Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Cloud-Native Observability Tools Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Cloud-Native Observability Tools Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global Cloud-Native Observability Tools Market Outlook, By Application Performance Monitoring (APM) (2024-2032) ($MN)
  • Table 5 Global Cloud-Native Observability Tools Market Outlook, By Log Management (2024-2032) ($MN)
  • Table 6 Global Cloud-Native Observability Tools Market Outlook, By Metrics Monitoring (2024-2032) ($MN)
  • Table 7 Global Cloud-Native Observability Tools Market Outlook, By Distributed Tracing (2024-2032) ($MN)
  • Table 8 Global Cloud-Native Observability Tools Market Outlook, By AIOps Platforms (2024-2032) ($MN)
  • Table 9 Global Cloud-Native Observability Tools Market Outlook, By Services (2024-2032) ($MN)
  • Table 10 Global Cloud-Native Observability Tools Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 11 Global Cloud-Native Observability Tools Market Outlook, By Integration and Implementation (2024-2032) ($MN)
  • Table 12 Global Cloud-Native Observability Tools Market Outlook, By Support and Maintenance (2024-2032) ($MN)
  • Table 13 Global Cloud-Native Observability Tools Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 14 Global Cloud-Native Observability Tools Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 15 Global Cloud-Native Observability Tools Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 16 Global Cloud-Native Observability Tools Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 17 Global Cloud-Native Observability Tools Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 18 Global Cloud-Native Observability Tools Market Outlook, By Small and Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 19 Global Cloud-Native Observability Tools Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 20 Global Cloud-Native Observability Tools Market Outlook, By End User (2024-2032) ($MN)
  • Table 21 Global Cloud-Native Observability Tools Market Outlook, By Information Technology and Telecommunications (2024-2032) ($MN)
  • Table 22 Global Cloud-Native Observability Tools Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
  • Table 23 Global Cloud-Native Observability Tools Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 24 Global Cloud-Native Observability Tools Market Outlook, By Retail and E-Commerce (2024-2032) ($MN)
  • Table 25 Global Cloud-Native Observability Tools Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 26 Global Cloud-Native Observability Tools Market Outlook, By Energy and Utilities (2024-2032) ($MN)
  • Table 27 Global Cloud-Native Observability Tools Market Outlook, By Government and Public Sector (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.