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1476417

全球Docker監控市場預測（~2030年）：按組件、部署類型、組織規模、監控、使用情況和區域的分析

Docker Monitoring Market Forecasts to 2030 - Global Analysis By Component (Solution, Service and Other Components), Deployment Type, Organization Size, Monitoring, Application 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

2023年，全球Docker監控市場規模為6.469億美元，預計預測期內年複合成長率為19.8%，到2030年將達到22.911億美元。 Docker監控是指監控容器化應用程式的效能、資源使用情況和健康狀況。

它包括追蹤 CPU 使用率、記憶體消費量、網路活動和容器狀態等指標。 Prometheus、Grafana 和 Docker 的內建監控功能等工具可以收集和分析這些指標，提供對容器效能的深入了解並協助進行故障排除。監控 Docker 容器使操作員能夠確保最佳效能、及早發現潛在問題並維護容器化環境的整體健康和穩定性。

即時可見性和效能最佳化的需求

即時可見性和效能最佳化在微服務和分散式架構中非常重要，其中許多互連組件動態互動。 Docker 監控解決方案透過提供對各個容器、服務和相依性的精細可見性來解決這些環境問題，使企業能夠找出效能瓶頸並指導資源分配即時最佳化。此外，這些解決方案透過提供儀表板、警報和分析來推動市場成長，使管理員能夠即時監控 Docker 效能指標，促進主動故障排除和最佳化。

分散式系統監控的複雜性

容器化環境的動態特性為維護和管理監控解決方案帶來了挑戰。當容器擴展或縮小、在主機之間移動或狀態變更時，必須經常更新監控配置以確保準確可靠的監控。這增加了組織的維護開銷，並從成本和資源角度降低了 Docker 監控解決方案的吸引力。因此，組織可能會猶豫是否實施會帶來巨大效能開銷的監控解決方案，尤其是在高吞吐量或延遲敏感的環境中。

機器學習和分析整合

機器學習演算法可以自動偵測Docker監控資料中的異常情況，例如異常的資源使用模式、異常的容器行為和安全威脅。透過持續分析大量監控資料，基於 ML 的 Docker 監控解決方案可以快速識別與預期規範的偏差，並觸發警報或自動補救措施，以防止事件，縮短回應時間並降低服務中斷的風險。透過動態調整資源分配以回應不斷變化的需求，基於 ML 的 Docker 監控解決方案可協助組織最大限度地提高資源利用率、最大限度地降低成本並提高整個容器化環境的效能，確保最佳效能。

監控工具的安全問題

Docker 監控工具中的安全漏洞可能會使組織面臨資料外洩和外洩的風險。攻擊者可以利用監控工具中的漏洞來未授權存取敏感資訊、破壞容器化應用程式並竊取有價值的資料。這種違規行為對組織的聲譽、客戶信任和財務穩定性的潛在影響是巨大的，使得組織對於採用 Docker 監控解決方案猶豫不決。

COVID-19 的影響

Docker 使用的激增導致 Docker 監控解決方案的需求增加，以確保效能、安全性和可靠性。隨著團隊變得更加分散並且更加依賴雲端基礎設施，監控工具對於維持營運連續性和最佳化資源利用率變得非常重要。此外，疫情凸顯了可擴展性和彈性的重要性，而 Docker 監控市場也越來越重視可擴展性監控，因為組織在面對不確定和不斷變化的業務條件時優先考慮適應性。

服務業務預計將在預測期內成為最大的業務

隨著 Docker 和容器化在軟體開發和配置中的普及，服務領域預計將出現良好的成長，增加對有效監控解決方案的需求。支援 Docker 監控的服務透過提供針對容器化環境客製化的專業知識和工具來推動此需求。這推動了具有不同需求的各種組織採用 Docker 監控工具。

可擴展性監控領域預計在預測期內年複合成長率最高

由於可擴展性監控領域的快速擴展和處理動態工作負載的能力，預計在預測期內將以最高的年複合成長率成長。 Docker 生態系統中的可擴展性、監控和監控解決方案致力於追蹤容器執行個體的效能指標、資源利用率和整體系統運作狀況，因為它們會根據提出的不斷變化的需求進行擴展或縮減。這種對彈性的重視與 Docker 的核心原則是一致的，也是利用容器化的組織的關鍵要求。

佔有率最大的地區

預計亞太地區在預測期內將佔據最大的市場佔有率。這是由於亞太地區對雲端運算的接受度不斷提高，組織擴大容器編排管理來跨多重雲端和混合雲端環境部署和管理容器化工作負載，而Docker 容器在利用該平台時獲得動力。隨著對資料隱私和安全性的日益關注，亞太地區的企業尋找能夠提供強大安全功能（例如漏洞掃描、存取控制和敏感資料加密）的 Docker 監控解決方案。

年複合成長率最高的地區：

由於 Docker 容器在企業環境中的廣泛採用，預計北美在預測期內將出現最高的年複合成長率。 Docker 容器在開發人員和 IT 專業人員中越來越受歡迎，因為它們提供了一種輕量級且高效的方式來包裝、部署和管理應用程式。然而，隨著 Docker 容器的採用不斷增加，對強大的監控解決方案以確保容器化應用程式的最佳效能、可用性和安全性的需求變得非常重要。

提供免費客製化：

訂閱此報告的客戶將收到以下免費自訂選項之一：

  • 公司簡介
    • 其他市場公司的綜合分析（最多3家公司）
    • 主要企業SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈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 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 新興市場
  • COVID-19 的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球 Docker 監控市場：依組件分類

  • 解決方案
  • 服務
    • 整合與實施
    • 諮詢
    • 培訓和支持
  • 其他組件

第6章 全球 Docker 監控市場：依部署類型

  • 雲端基礎
  • 本地

第7章 全球Docker 監控市場：依組織規模

  • 中小企業
  • 主要企業

第8章 全球Docker 監控市場：透過監控

  • 效能監控
  • 安全監控
  • 可擴充性監控
  • 編配監控
  • 合規監控
  • 其他監控

第9章 全球Docker 監控市場：依應用分類

  • 資訊科技/通訊
  • 衛生保健
  • 銀行、金融服務和保險
  • 零售與電子商務
  • 政府和國防
  • 其他用途

第10章 全球Docker監控市場：依地區

  • 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
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東、非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東、非洲

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • IBM
  • AppDynamics
  • BMC Software
  • Broadcom
  • Datadog
  • Dynatrace
  • Instana Centreon
  • Manage Engine
  • Micro Focus
  • Microsoft
  • Oracle
  • ScienceLogic
  • Solarwinds
  • Splunk
  • Sumo Logic
  • Sysdig
  • Wavefront
  • Riverbed Technology
Product Code: SMRC25963

According to Stratistics MRC, the Global Docker Monitoring Market is accounted for $646.9 million in 2023 and is expected to reach $2291.1 million by 2030 growing at a CAGR of 19.8% during the forecast period. Docker monitoring is the practice of overseeing containerized applications for performance, resource utilization, and health. It involves tracking metrics like CPU usage, memory consumption, network activity, and container status. Tools such as Prometheus, Grafana, and Docker's built-in monitoring capabilities collect and analyze these metrics, providing insights into container performance and aiding in troubleshooting. By monitoring Docker containers, operators can ensure optimal performance, identify potential issues early, and maintain the overall health and stability of their containerized environments.

Market Dynamics:

Driver:

Need for real-time visibility and performance optimization

Real-time visibility and performance optimization are critical in microservices and distributed architectures where numerous interconnected components interact dynamically. Docker monitoring solutions cater to these environments by providing granular visibility into individual containers, services, and dependencies, enabling organizations to pinpoint performance bottlenecks and optimize resource allocation in real-time. Moreover these solutions offer dashboards, alerts, and analytics that enable administrators to monitor Docker performance metrics in real-time, facilitating proactive troubleshooting and optimization drives the growth of the market.

Restraint:

Complexity of monitoring distributed systems

The dynamic nature of containerized environments introduces challenges in maintaining and managing monitoring solutions. As containers scale up or down, move between hosts, or change states, monitoring configurations may need frequent updates to ensure accurate and reliable monitoring. This can increase maintenance overheads for organizations, making Docker monitoring solutions less appealing from a cost and resource perspective. Thus organizations may hesitate to deploy monitoring solutions that introduce significant performance overheads, especially in high-throughput or latency-sensitive environments.

Opportunity:

Integration of machine learning and analytics

Machine learning algorithms can automatically detect anomalies in Docker monitoring data, such as unusual resource utilization patterns, abnormal container behavior, or security threats. By continuously analyzing vast amounts of monitoring data, ML-powered Docker monitoring solutions can rapidly identify deviations from expected norms and trigger alerts or automated remediation actions, improving incident response times and reducing the risk of service disruptions. By dynamically adjusting resource allocation in response to changing demand, ML-powered Docker monitoring solutions help organizations maximize resource utilization, minimize costs, and ensure optimal performance across containerized environments.

Threat:

Security concerns around monitoring tools

Security vulnerabilities in Docker monitoring tools can expose organizations to the risk of data breaches or leakage. Attackers may exploit vulnerabilities in monitoring tools to gain unauthorized access to sensitive information, compromise containerized applications, or exfiltrate valuable data. The potential impact of such breaches on organizational reputation, customer trust, and financial stability can be significant, leading organizations to hesitate in adopting Docker monitoring solutions.

Covid-19 Impact

Surge in Docker usage consequently drove increased demand for Docker monitoring solutions to ensure performance, security, and reliability. With teams distributed and reliance on cloud infrastructure heightened, monitoring tools became essential for maintaining operational continuity and optimizing resource utilization. Moreover, the pandemic underscored the importance of scalability and resilience, leading to a greater emphasis on scalability monitoring within the Docker monitoring market as organizations prioritized adaptability in the face of uncertain and evolving business conditions.

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

The service segment is estimated to have a lucrative growth, as Docker and containerization become more prevalent in software development and deployment, the need for effective monitoring solutions has grown. Services catering to Docker monitoring have fueled this demand by offering specialized expertise and tools tailored to containerized environments. This has facilitated the adoption of Docker monitoring tools by a broader range of organizations with diverse requirements.

The scalability monitoring segment is expected to have the highest CAGR during the forecast period

The scalability monitoring segment is anticipated to witness the highest CAGR growth during the forecast period, owing to their ability to scale rapidly and handle dynamic workloads. Scalability monitoring solutions in the Docker ecosystem focus on tracking container instances' performance metrics, resource utilization, and overall system health as they scale up or down in response to changing demand. This emphasis on elasticity aligns with Docker's core principles and has become a critical requirement for organizations leveraging containerization.

Region with largest share:

Asia Pacific is projected to hold the largest market share during the forecast period owing the increasing acceptance of cloud computing in the region is fueling the adoption of Docker containers, as organizations leverage container orchestration platforms like Kubernetes for deploying and managing containerized workloads across multi-cloud and hybrid cloud environments. With growing concerns about data privacy and security, organizations in Asia Pacific are looking for Docker monitoring solutions that offer robust security features, including vulnerability scanning, access controls, and encryption of sensitive data.

Region with highest CAGR:

North America is projected to have the highest CAGR over the forecast period, due to the widespread adoption of docker containers in enterprise environments. Docker containers provide a lightweight and efficient way to package, deploy, and manage applications, making them increasingly popular among developers and IT professionals. However, as the adoption of Docker containers continues to rise, the need for robust monitoring solutions becomes paramount to ensure optimal performance, availability, and security of containerized applications.

Key players in the market

Some of the key players in the Docker Monitoring Market include IBM, AppDynamics, BMC Software, Broadcom, Datadog, Dynatrace, Instana Centreon, Manage Engine, Micro Focus, Microsoft, Oracle, ScienceLogic, Solarwinds, Splunk, Sumo Logic, Sysdig, Wavefront and Riverbed Technology

Key Developments:

In April 2024, IBM Offers Meta's Llama 3 Open Models on Watsonx, Expands Portfolio of Next Generation Enterprise-Ready Models. This expands IBM's watsonx.ai model library to help enterprises innovate with its in-house Granite series of models, as well as those from leading model providers like Meta.

In January 2024, Fortinet and IBM Cloud Collaborate to Help Clients Protect Their Workloads from Increased Cybersecurity Threats. With clients reporting that they are facing new network and application threats, it's critical to have the right ecosystem of technology partners that can unite around a shared mission of protecting their clients from risk.

In January 2024, Cisco launches the Smart Agent for Cisco AppDynamics. It enables agent lifecycle management, significantly simplifies application instrumentation for full-stack observability through intelligent agent automation and management, and helps customers introduce new applications faster.

Components Covered:

  • Solution
  • Service
  • Other Components

Deployment Types Covered:

  • Cloud Based
  • On Premises

Organization Sizes Covered:

  • Small & Medium Sized Enterprises
  • Large Enterprises

Monitorings Covered:

  • Performance Monitoring
  • Security Monitoring
  • Scalability Monitoring
  • Orchestration Monitoring
  • Compliance Monitoring
  • Other Monitorings

Applications Covered:

  • IT & Telecommunications
  • Healthcare
  • Banking, Financial Services, and Insurance
  • Retail & eCommerce
  • Government & Defense
  • Other Applications

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 2021, 2022, 2023, 2026, and 2030
  • 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 Application 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 Docker Monitoring Market, By Component

  • 5.1 Introduction
  • 5.2 Solution
  • 5.3 Service
    • 5.3.1 Integartion & Implementation
    • 5.3.2 Consulting
    • 5.3.3 Training & Support
  • 5.4 Other Components

6 Global Docker Monitoring Market, By Deployment Type

  • 6.1 Introduction
  • 6.2 Cloud Based
  • 6.3 On Premises

7 Global Docker Monitoring Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small & Medium Sized Enterprises
  • 7.3 Large Enterprises

8 Global Docker Monitoring Market, By Monitoring

  • 8.1 Introduction
  • 8.2 Performance Monitoring
  • 8.3 Security Monitoring
  • 8.4 Scalability Monitoring
  • 8.5 Orchestration Monitoring
  • 8.6 Compliance Monitoring
  • 8.7 Other Monitorings

9 Global Docker Monitoring Market, By Application

  • 9.1 Introduction
  • 9.2 IT & Telecommunications
  • 9.3 Healthcare
  • 9.4 Banking, Financial Services, and Insurance
  • 9.5 Retail & eCommerce
  • 9.6 Government & Defense
  • 9.7 Other Applications

10 Global Docker Monitoring Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 IBM
  • 12.2 AppDynamics
  • 12.3 BMC Software
  • 12.4 Broadcom
  • 12.5 Datadog
  • 12.6 Dynatrace
  • 12.7 Instana Centreon
  • 12.8 Manage Engine
  • 12.9 Micro Focus
  • 12.10 Microsoft
  • 12.11 Oracle
  • 12.12 ScienceLogic
  • 12.13 Solarwinds
  • 12.14 Splunk
  • 12.15 Sumo Logic
  • 12.16 Sysdig
  • 12.17 Wavefront
  • 12.18 Riverbed Technology

List of Tables

  • Table 1 Global Docker Monitoring Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Docker Monitoring Market Outlook, By Component (2021-2030) ($MN)
  • Table 3 Global Docker Monitoring Market Outlook, By Solution (2021-2030) ($MN)
  • Table 4 Global Docker Monitoring Market Outlook, By Service (2021-2030) ($MN)
  • Table 5 Global Docker Monitoring Market Outlook, By Integartion & Implementation (2021-2030) ($MN)
  • Table 6 Global Docker Monitoring Market Outlook, By Consulting (2021-2030) ($MN)
  • Table 7 Global Docker Monitoring Market Outlook, By Training & Support (2021-2030) ($MN)
  • Table 8 Global Docker Monitoring Market Outlook, By Other Components (2021-2030) ($MN)
  • Table 9 Global Docker Monitoring Market Outlook, By Deployment Type (2021-2030) ($MN)
  • Table 10 Global Docker Monitoring Market Outlook, By Cloud Based (2021-2030) ($MN)
  • Table 11 Global Docker Monitoring Market Outlook, By On Premises (2021-2030) ($MN)
  • Table 12 Global Docker Monitoring Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 13 Global Docker Monitoring Market Outlook, By Small & Medium Sized Enterprises (2021-2030) ($MN)
  • Table 14 Global Docker Monitoring Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 15 Global Docker Monitoring Market Outlook, By Monitoring (2021-2030) ($MN)
  • Table 16 Global Docker Monitoring Market Outlook, By Performance Monitoring (2021-2030) ($MN)
  • Table 17 Global Docker Monitoring Market Outlook, By Security Monitoring (2021-2030) ($MN)
  • Table 18 Global Docker Monitoring Market Outlook, By Scalability Monitoring (2021-2030) ($MN)
  • Table 19 Global Docker Monitoring Market Outlook, By Orchestration Monitoring (2021-2030) ($MN)
  • Table 20 Global Docker Monitoring Market Outlook, By Compliance Monitoring (2021-2030) ($MN)
  • Table 21 Global Docker Monitoring Market Outlook, By Other Monitorings (2021-2030) ($MN)
  • Table 22 Global Docker Monitoring Market Outlook, By Application (2021-2030) ($MN)
  • Table 23 Global Docker Monitoring Market Outlook, By IT & Telecommunications (2021-2030) ($MN)
  • Table 24 Global Docker Monitoring Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 25 Global Docker Monitoring Market Outlook, By Banking, Financial Services, and Insurance (2021-2030) ($MN)
  • Table 26 Global Docker Monitoring Market Outlook, By Retail & eCommerce (2021-2030) ($MN)
  • Table 27 Global Docker Monitoring Market Outlook, By Government & Defense (2021-2030) ($MN)
  • Table 28 Global Docker Monitoring Market Outlook, By Other Applications (2021-2030) ($MN)

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