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市场调查报告书
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1857037

全球云端原生可观测性工具市场：预测至 2032 年 - 按组件、部署方式、组织规模、最终用户和地区进行分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球云端原生可观测工具市场预计到 2025 年将达到 33 亿美元，到 2032 年将达到 95 亿美元，预测期内复合年增长率为 16%。

云端原生可观测性工具收集、关联和分析远端检测指标、日誌和追踪数据，从而提供跨容器、微服务和无伺服器架构的端到端可视性。这些工具可协助 DevOps 和 SRE 团队在高度动态的环境中快速侦测事件并分析根本原因。云端的成长动力源自于向云端的迁移、微服务的采用以及管理复杂混合环境的需求。

根据云端原生运算基金会 (CNCF) 的数据，2022 年至 2024 年间，云端原生可观测性工具的采用率将成长超过 45%，这将使企业能够更好地大规模监控其基础设施和应用程式。

微服务复杂性需要全端可视性

微服务的兴起导致了应用架构的碎片化，从而推动了对日誌、指标、追踪和事件的端到端可视性的需求。统一遥测资料的可观测性平台使工程师能够查看请求流程、识别级联故障，并将基础设施讯号与使用者影响关联起来。 DevOps 和 SRE 团队依靠情境追踪和即时指标来缩短平均故障解决时间、维持服务等级目标并支援渐进式交付。此外，全面的可观测性有助于容量规划和事后学习，因此企业必须采用一套整合套件，以简化在高度动态的云端环境中进行除错。

工具扩散和整合面临的挑战

各种独立解决方案和厂商特定代理商的激增，导致工具种类繁多，使得大规模可观测性变得复杂。多重远端检测管道、不一致的资料模型和薄弱的整合造成了维运开销和盲点，延长了调查时间并推高了成本。企业在努力协调高基数资料集、维护统一的模式和高效能储存的同时，也要避免厂商锁定，这令企业举步维艰。由于团队需要权衡整合风险和整体拥有成本，这些限制因素阻碍了技术的普及应用。

整合AIOps实现自动化异常检测

随着团队寻求自动化事件检测并减少警报疲劳，可观测性与 AIOps 的整合带来了巨大的成长机会。将机器学习应用于关联的追踪、指标和日誌，可以发现异常模式、预测效能下降，并对高影响事件进行优先排序以便进行分类处理。将可观测讯号转化为可执行的剧本、自动化修復和智慧路由的集成，能够提高营运效率并减少停机时间。此外，AIOps主导的洞察能够实现主动容量规划和持续可靠性改进，使可观测性平台对工程组织更具战略意义，并对寻求自动化的企业买家更具吸引力。

资料安全和合规性问题

资料安全和合规性是可观测性平檯面临的主要威胁，因为这类平台会收集敏感的应用程式和使用者遥测资料。日誌、追踪资料或元资料若保护不当，可能会洩露个人识别资讯、智慧财产权或系统内部讯息，造成法律和声誉风险。 GDPR、HIPAA 等严格标准以及特定产业要求都强制要求供应商和买家采用加密、存取控制和稳健的资料保留策略。此外，多租户云端环境和第三方整合扩大了攻击面，迫使企业在资料可见性和最大限度降低风险之间寻求平衡。

新冠疫情的影响：

疫情加速了云端运算和远距办公的普及，随着团队转向分散式办公室和微服务架构，对云端原生可观测性的需求也随之成长。短期内，企业争相部署服务侦测和SaaS监控，以支援远端故障排除和维护执行时间。随着时间的推移，这促使企业持续投资于支援混合架构、远端事件响应和分散式SRE实践的集中式可观测性平台。这项转变也凸显了工具和技能方面的不足，促使供应商更加重视易于部署、可扩展储存以及支援分散式工程团队的整合。

预计在预测期内，解决方案板块将成为最大的板块。

预计在预测期内，解决方案领域将占据最大的市场份额，因为它直接满足从数据收集到洞察的整个可观测性需求。成熟的解决方案供应商提供模组化架构、开放式遥测支援以及企业级安全、存取控制和合规性功能，以满足采购需求。长期合约、託管服务和企业级支援能够带来稳定的收入来源，而整合解决方案则透过整合资料管道和分析功能来降低整体拥有成本。因此，机构投资者正在采用能够简化跨各种应用程式的操作并加快事件响应速度的解决方案套件。

预计在预测期内，云端基础的细分市场将以最高的复合年增长率成长。

预计在预测期内，云端基础领域将呈现最高的成长率。快速的数位转型和容器化配置正在推动对託管式可观测性的广泛需求，这种可观测性能够适应短暂的工作负载和多样化的遥测资料量。云端基础供应商不断提升资料摄取吞吐量，提供分层保留策略，并能轻鬆整合到 CI/CD 管线和编配系统中。这种模式支援需要低延迟全球存取的分散式团队，并减少了平台工程所需的时间。随着企业将敏捷性和营运效率置于优先地位，基于订阅的託管储存和分析可观测性正成为首选方案，加速了云端采用和市场成长。

区域份额

预计北美将在预测期内占据最大的市场份额。北美的主导地位得益于其成熟的云端基础设施、早期采用者以及强大的超大规模云端服务和可观测性供应商。拥有复杂微服务架构的大型科技、金融数位原民企业正在推动对高级可观测性解决方案和託管服务的巨大需求。此外，高额的研发预算、强大的专业服务生态系统以及对新兴企业的有利资金筹措，正在促进持续创新和产品的快速普及。该地区的企业优先考虑可靠性、安全性和合规性，并支援提供企业级功能和长期合约的供应商产品。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于快速的云端迁移、强劲的开发者成长以及平台工程投资的不断增加，这些因素正在加速可观测性技术的普及应用。数位原民企业的兴起、区域云端服务供应商的扩张以及行动优先应用的广泛应用，都推动了对可扩展远端检测和分散式追踪的需求。本地供应商和全球参与企业正在透过高效的资料收集和储存模型，为注重成本的客户量身定制产品和服务。此外，大型企业和政府现代化计划对数位化韧性的日益重视，也推动了亚太市场采购週期的加速和年增速的提升。

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  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争基准化分析
    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

5. 全球云端原生可观测工具市场（按组件划分）

  • 解决方案
    • 应用效能监控 (APM)
    • 日誌管理
    • 指标监控
    • 分散式追踪
    • AIOps平台
  • 服务
    • 咨询
    • 整合与实施
    • 支援与维护

6. 全球云端原生可观测性工具市场（以部署方式划分）

  • 云端基础的
  • 本地部署
  • 杂交种

7. 全球云端原生可观测工具市场（依组织规模划分）

  • 小型企业
  • 大公司

8. 全球云端原生可观测性工具市场（依最终用户划分）

  • 资讯科技（IT）/通讯
  • 银行、金融服务和保险（BFSI）
  • 医疗保健
  • 零售与电子商务
  • 製造业
  • 能源与公用事业
  • 政府/公共部门

9. 全球云端原生可观测工具市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十一章：公司简介

  • 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.