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市场调查报告书
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1856958

全球资料可观测性市场：预测至 2032 年－按解决方案、服务、部署方法、资料管道类型、使用频率、最终使用者和地区进行分析

Data Observability Market Forecasts to 2032 - Global Analysis By Solution, Service, Deployment Mode, Data Pipeline Type, Usage Frequency, 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，预计 2025 年全球数据可观测性市场规模将达到 29 亿美元，到 2032 年将达到 73 亿美元，预测期内复合年增长率为 13.8%。

数据可观测性是指监控、理解并确保组织系统中资料的健康性、准确性和可靠性的能力。它透过追踪数据新鲜度、完整性、准确性和沿袭等指标，提供对数据管道的深入洞察。持续检测异常和资料品质问题，使组织能够在问题影响业务决策之前主动识别并解决问题。数据可观测性结合了自动化、监控和分析，以维护数据驱动流程的可靠性，并为企业提供一致、高品质和可靠的洞察。

数据量和复杂度不断增加

企业正从云端平台、物联网设备和即时应用程式产生大量资料集。传统的监控系统无法大规模追踪资料沿袭、新鲜度和模式漂移。数据可观测性平台能够帮助团队侦测异常情况，并确保整个数据管道的可靠性。与商业智慧和分析工具的整合可以提高决策的准确性。这些功能正在推动对可扩展、自动化数据健康解决方案的需求。

熟练专业人员短缺

许多公司难以招募到具备资料可靠性、管道调试和元资料管理方面专业知识的工程师。内部团队往往缺乏分散式系统和现代可观测性技术堆迭的经验。不同供应商和平台的培训项目和认证仍在不断发展中。资源限制会延缓实施进程，并降低早期采用者的投资报酬率。这些差距持续阻碍着公司的准备和营运成熟度。

数位转型与营运效率

企业正在对其基础设施进行现代化改造，以支援即时分析和云端原生工作流程。可观测性工具能够实现主动监控和快速解决资料事件。与管治和合规系统的整合提高了审核和可靠性。託管服务提供者提供可观测性即服务 (OaaS)，以降低复杂性和成本。这一趋势正在推动企业范围内的可观测性工具应用和平台标准化。

与旧有系统和异质环境整合的复杂性

企业必须将可观测性平台连接到各种资料来源，包括本地资料仓储、云端湖和第三方 API。元资料和模式格式缺乏标准化增加了配置开销。监控分散式管道需要进阶编配和即时诊断。供应商分散和工具氾滥使平台选择和互通性变得复杂。这些挑战持续阻碍混合架构的一致性和效能。

新冠疫情的影响：

疫情加速了人们对数据可观测性的关注，远端营运和数位化服务变得至关重要。企业面临着跨分散式团队和云端平台可靠数据日益增长的需求。可观测性工具可协助监控管道运作状况，并在基础设施迁移期间侦测异常。各行各业的云端迁移和自动化工作也随之加速推进。后疫情时代，可观测性已成为资料管治和韧性的核心组成部分。这种转变正在加速对数据可靠性基础设施的长期投资。

预计在预测期内，数据品质监控细分市场将是最大的。

由于资料品质监控在确保企业资料集的准确性、完整性和一致性方面发挥核心作用，预计在预测期内，资料品质监控领域将占据最大的市场份额。企业正在采用监控工具来即时追踪资料的新鲜度、重复性和模式变更。与 ETL 平台和资料目录的整合提供了更高的可见性和控制力。供应商提供可自订的仪表板和警报系统，以便主动解决问题。受监管行业和以分析主导的团队对自动化品质检查的需求正在不断增长。

预计在预测期内，託管服务板块的复合年增长率将最高。

预计在预测期内，託管服务领域将实现最高成长率，因为企业正在寻求可扩展且经济高效的可观测性解决方案。服务供应商正在为混合资料环境提供端到端的监控、诊断和支援。中型企业和数位化优先型企业（尤其是那些内部能力有限的企业）正在越来越多地采用此类解决方案。与云端原生工具和 DevOps 工作流程的整合正在提高敏捷性和回应速度。供应商正在推出针对特定产业需求量身定制的可观测性即服务 (NRaaS) 模型。

占比最高的地区：

由于北美拥有先进的数据基础设施、云端技术应用以及完善的供应商生态系统，预计在预测期内，北美将占据最大的市场份额。美国企业正在金融、医疗保健、零售和科技等行业部署可观测性工具。对主导的监控和元资料管理的投资正在推动平台的扩展。领先的软体供应商和开放原始码社群正在推动创新和标准化。法律规范和合规要求正在强化对可信任资料营运的需求。

复合年增长率最高的地区：

由于数位转型、云端迁移和託管服务的普及，预计亚太地区在预测期内将实现最高的复合年增长率。印度、中国、新加坡和澳洲等国家正在银行业、通讯和公共服务业中推广可观测平台。政府支持的专案和企业现代化倡议正在助力平台就绪。本地供应商正在推出针对该地区基础设施和合规性需求量身定制的可观测性工具。行动优先和分散式组织正在推动对即时分析和数据可靠性的需求。这些趋势正在推动整个亚太地区可观测性生态系统的成长。

免费客製化服务

订阅本报告的用户可从以下免费自订选项中选择一项：

  • 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

  • 介绍
  • 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. 全球数据可观测性市场（按解决方案划分）

  • 数据品质监控
  • 数据沿袭追踪
  • 异常检测
  • 警报和报告
  • 元资料管理

6. 全球数据可观测性市场（按服务划分）

  • 专业服务
  • 託管服务

7. 按部署方式分類的全球资料可观测性市场

  • 云端基础的
  • 本地部署

8. 全球资料可观测性市场（依资料管道类型划分）

  • 批量处理
  • 串流处理
  • 混合管道

9. 全球资料可观测性市场（依使用频率划分）

  • 即时监控
  • 定期报告

第十章 全球资料可观测性市场（依最终用户划分）

  • 银行、金融服务和保险（BFSI）
  • 医学与生命科​​学
  • 零售与电子商务
  • 通讯
  • 製造业
  • IT和云端服务
  • 政府/公共部门
  • 其他最终用户

第十一章 全球资料可观测性市场（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

第十二章：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

第十三章：公司简介

  • Monte Carlo Data, Inc.
  • Acceldata, Inc.
  • Bigeye, Inc.
  • Cribl, Inc.
  • Splunk Inc.
  • New Relic, Inc.
  • Dynatrace, Inc.
  • Datadog, Inc.
  • Honeycomb.io, Inc.
  • Uptrace, Inc.
  • Grafana Labs, Inc.
  • Mezmo, Inc.
  • Observe, Inc.
  • Lightup Data, Inc.
Product Code: SMRC31822

According to Stratistics MRC, the Global Data Observability Market is accounted for $2.9 billion in 2025 and is expected to reach $7.3 billion by 2032 growing at a CAGR of 13.8% during the forecast period. Data Observability refers to the ability to monitor, understand, and ensure the health, accuracy, and reliability of data across an organization's systems. It provides deep visibility into data pipelines by tracking metrics such as freshness, completeness, accuracy, and lineage. By continuously detecting anomalies and data quality issues, it enables proactive identification and resolution of problems before they impact business decisions. Data Observability combines automation, monitoring, and analytics to maintain trust in data-driven processes, ensuring consistent, high-quality, and reliable insights for enterprises.

Market Dynamics:

Driver:

Growing volume & complexity of data

Enterprises are generating massive datasets from cloud platforms, IoT devices, and real-time applications. Traditional monitoring systems are unable to track lineage, freshness, and schema drift at scale. Data observability platforms are helping teams detect anomalies and ensure reliability across pipelines. Integration with business intelligence and analytics tools is improving decision accuracy. These capabilities are propelling demand for scalable and automated data health solutions.

Restraint:

Lack of skilled professionals

Many organizations struggle to recruit engineers with expertise in data reliability, pipeline debugging, and metadata management. Internal teams often lack experience with distributed systems and modern observability stacks. Training programs and certifications are still evolving across vendors and platforms. Resource constraints slow implementation and reduce ROI for early adopters. These gaps continue to hinder enterprise readiness and operational maturity.

Opportunity:

Digital transformation & operational efficiency

Companies are modernizing infrastructure to support real-time analytics and cloud-native workflows. Observability tools are enabling proactive monitoring and faster resolution of data incidents. Integration with governance and compliance systems is improving auditability and trust. Managed service providers are offering observability-as-a-service to reduce complexity and cost. These developments are fostering enterprise-wide adoption and platform standardization.

Threat:

Integration complexity with legacy systems and heterogeneous environments

Organizations must connect observability platforms to diverse data sources including on-premise warehouses, cloud lakes, and third-party APIs. Lack of standardization in metadata and schema formats increases configuration overhead. Monitoring distributed pipelines requires advanced orchestration and real-time diagnostics. Vendor fragmentation and tool sprawl complicate platform selection and interoperability. These challenges continue to hamper consistency and performance across hybrid architectures

Covid-19 Impact:

The pandemic accelerated interest in data observability as remote operations and digital services became critical. Enterprises faced rising demand for reliable data across distributed teams and cloud platforms. Observability tools helped monitor pipeline health and detect anomalies during infrastructure shifts. Cloud migration and automation initiatives gained momentum across sectors. Post-pandemic strategies now include observability as a core pillar of data governance and resilience. These shifts are accelerating long-term investment in data reliability infrastructure.

The data quality monitoring segment is expected to be the largest during the forecast period

The data quality monitoring segment is expected to account for the largest market share during the forecast period due to its central role in ensuring accuracy, completeness, and consistency across enterprise datasets. Organizations are deploying monitoring tools to track freshness, duplication, and schema changes in real time. Integration with ETL platforms and data catalogs is improving visibility and control. Vendors are offering customizable dashboards and alerting systems for proactive issue resolution. Demand for automated quality checks is rising across regulated industries and analytics-driven teams.

The managed services segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the managed services segment is predicted to witness the highest growth rate as enterprises seek scalable and cost-effective observability solutions. Service providers are offering end-to-end monitoring, diagnostics, and support across hybrid data environments. Adoption is rising among mid-sized firms and digital-first organizations with limited internal capacity. Integration with cloud-native tools and DevOps workflows is improving agility and responsiveness. Vendors are launching observability-as-a-service models tailored to industry-specific needs.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its advanced data infrastructure, cloud adoption, and vendor ecosystem. U.S. enterprises are deploying observability tools across finance, healthcare, retail, and technology sectors. Investment in AI-driven monitoring and metadata management is supporting platform expansion. Presence of leading software vendors and open-source communities is driving innovation and standardization. Regulatory frameworks and compliance mandates are reinforcing demand for reliable data operations.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR as digital transformation, cloud migration, and managed service uptake converge. Countries like India, China, Singapore, and Australia are scaling observability platforms across banking, telecom, and public services. Government-backed programs and enterprise modernization initiatives are supporting platform readiness. Local vendors are launching observability tools tailored to regional infrastructure and compliance needs. Demand for real-time analytics and data reliability is rising across mobile-first and distributed organizations. These trends are accelerating regional growth across observability ecosystems.

Key players in the market

Some of the key players in Data Observability Market include Monte Carlo Data, Inc., Acceldata, Inc., Bigeye, Inc., Cribl, Inc., Splunk Inc., New Relic, Inc., Dynatrace, Inc., Datadog, Inc., Honeycomb.io, Inc., Uptrace, Inc., Grafana Labs, Inc., Mezmo, Inc., Observe, Inc. and Lightup Data, Inc.

Key Developments:

In March 2025, Monte Carlo deepened integrations with Snowflake and Databricks, enabling native observability across cloud data platforms. These partnerships support seamless deployment of Monte Carlo's tools for data lineage, anomaly detection, and reliability scoring. The move enhances interoperability and accelerates adoption among enterprise data teams managing distributed pipelines.

In January 2025, Acceldata expanded its ecosystem partnerships with cloud-native data platforms including Databricks, Snowflake, and AWS, enabling seamless observability across hybrid and multi-cloud environments. These integrations support real-time data quality monitoring, pipeline reliability, and cost governance-key pillars of enterprise-grade observability. The move strengthens Acceldata's positioning as a cross-platform observability layer.

Solutions Covered:

  • Data Quality Monitoring
  • Data Lineage Tracking
  • Anomaly Detection
  • Alerting & Reporting
  • Metadata Management

Services Covered:

  • Professional Services
  • Managed Services

Deployment Modes Covered:

  • Cloud-Based
  • On-Premise

Data Pipeline Types Covered:

  • Batch Processing
  • Stream Processing
  • Hybrid Pipelines

Usage Frequencies Covered:

  • Real-Time Monitoring
  • Periodic Reporting

End Users Covered:

  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare & Life Sciences
  • Retail & E-Commerce
  • Telecommunications
  • Manufacturing
  • IT & Cloud Services
  • Government & Public Sector
  • Other End Users

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 Data Observability Market, By Solutions

  • 5.1 Introduction
  • 5.2 Data Quality Monitoring
  • 5.3 Data Lineage Tracking
  • 5.4 Anomaly Detection
  • 5.5 Alerting & Reporting
  • 5.6 Metadata Management

6 Global Data Observability Market, By Service

  • 6.1 Introduction
  • 6.2 Professional Services
  • 6.3 Managed Services

7 Global Data Observability Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Cloud-Based
  • 7.3 On-Premise

8 Global Data Observability Market, By Data Pipeline Type

  • 8.1 Introduction
  • 8.2 Batch Processing
  • 8.3 Stream Processing
  • 8.4 Hybrid Pipelines

9 Global Data Observability Market, By Usage Frequency

  • 9.1 Introduction
  • 9.2 Real-Time Monitoring
  • 9.3 Periodic Reporting

10 Global Data Observability Market, By End User

  • 10.1 Introduction
  • 10.2 Banking, Financial Services & Insurance (BFSI)
  • 10.3 Healthcare & Life Sciences
  • 10.4 Retail & E-Commerce
  • 10.5 Telecommunications
  • 10.6 Manufacturing
  • 10.7 IT & Cloud Services
  • 10.8 Government & Public Sector
  • 10.9 Other End Users

11 Global Data Observability Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Monte Carlo Data, Inc.
  • 13.2 Acceldata, Inc.
  • 13.3 Bigeye, Inc.
  • 13.4 Cribl, Inc.
  • 13.5 Splunk Inc.
  • 13.6 New Relic, Inc.
  • 13.7 Dynatrace, Inc.
  • 13.8 Datadog, Inc.
  • 13.9 Honeycomb.io, Inc.
  • 13.10 Uptrace, Inc.
  • 13.11 Grafana Labs, Inc.
  • 13.12 Mezmo, Inc.
  • 13.13 Observe, Inc.
  • 13.14 Lightup Data, Inc.

List of Tables

  • Table 1 Global Data Observability Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Data Observability Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 3 Global Data Observability Market Outlook, By Data Quality Monitoring (2024-2032) ($MN)
  • Table 4 Global Data Observability Market Outlook, By Data Lineage Tracking (2024-2032) ($MN)
  • Table 5 Global Data Observability Market Outlook, By Anomaly Detection (2024-2032) ($MN)
  • Table 6 Global Data Observability Market Outlook, By Alerting & Reporting (2024-2032) ($MN)
  • Table 7 Global Data Observability Market Outlook, By Metadata Management (2024-2032) ($MN)
  • Table 8 Global Data Observability Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global Data Observability Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 10 Global Data Observability Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 11 Global Data Observability Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 12 Global Data Observability Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 13 Global Data Observability Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 14 Global Data Observability Market Outlook, By Data Pipeline Type (2024-2032) ($MN)
  • Table 15 Global Data Observability Market Outlook, By Batch Processing (2024-2032) ($MN)
  • Table 16 Global Data Observability Market Outlook, By Stream Processing (2024-2032) ($MN)
  • Table 17 Global Data Observability Market Outlook, By Hybrid Pipelines (2024-2032) ($MN)
  • Table 18 Global Data Observability Market Outlook, By Usage Frequency (2024-2032) ($MN)
  • Table 19 Global Data Observability Market Outlook, By Real-Time Monitoring (2024-2032) ($MN)
  • Table 20 Global Data Observability Market Outlook, By Periodic Reporting (2024-2032) ($MN)
  • Table 21 Global Data Observability Market Outlook, By End User (2024-2032) ($MN)
  • Table 22 Global Data Observability Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 23 Global Data Observability Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 24 Global Data Observability Market Outlook, By Retail & E-Commerce (2024-2032) ($MN)
  • Table 25 Global Data Observability Market Outlook, By Telecommunications (2024-2032) ($MN)
  • Table 26 Global Data Observability Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 27 Global Data Observability Market Outlook, By IT & Cloud Services (2024-2032) ($MN)
  • Table 28 Global Data Observability Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 29 Global Data Observability Market Outlook, By Other End Users (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.