Docker Monitoring Market

Docker Monitoring Market

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

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4.9 (82 reviews)
Published: 2024 ID: SMRC25963

This report covers the impact of COVID-19 on this global market

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: 


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.


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.


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.


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 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
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan        
o China        
o India        
o Australia  
o New Zealand
o South Korea
o Rest of Asia Pacific    
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa 
o Saudi Arabia
o Qatar
o South Africa
o 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
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o 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          
1 Global Docker Monitoring Market Outlook, By Region (2021-2030) ($MN)    
2 Global Docker Monitoring Market Outlook, By Component (2021-2030) ($MN)   
3 Global Docker Monitoring Market Outlook, By Solution (2021-2030) ($MN)   
4 Global Docker Monitoring Market Outlook, By Service (2021-2030) ($MN)   
5 Global Docker Monitoring Market Outlook, By Integartion & Implementation (2021-2030) ($MN) 
6 Global Docker Monitoring Market Outlook, By Consulting (2021-2030) ($MN)   
7 Global Docker Monitoring Market Outlook, By Training & Support (2021-2030) ($MN)  
8 Global Docker Monitoring Market Outlook, By Other Components (2021-2030) ($MN)  
9 Global Docker Monitoring Market Outlook, By Deployment Type (2021-2030) ($MN)  
10 Global Docker Monitoring Market Outlook, By Cloud Based (2021-2030) ($MN)   
11 Global Docker Monitoring Market Outlook, By On Premises (2021-2030) ($MN)   
12 Global Docker Monitoring Market Outlook, By Organization Size (2021-2030) ($MN)   
13 Global Docker Monitoring Market Outlook, By Small & Medium Sized Enterprises (2021-2030) ($MN) 
14 Global Docker Monitoring Market Outlook, By Large Enterprises (2021-2030) ($MN)   
15 Global Docker Monitoring Market Outlook, By Monitoring (2021-2030) ($MN)   
16 Global Docker Monitoring Market Outlook, By Performance Monitoring (2021-2030) ($MN)  
17 Global Docker Monitoring Market Outlook, By Security Monitoring (2021-2030) ($MN)  
18 Global Docker Monitoring Market Outlook, By Scalability Monitoring (2021-2030) ($MN)  
19 Global Docker Monitoring Market Outlook, By Orchestration Monitoring (2021-2030) ($MN)  
20 Global Docker Monitoring Market Outlook, By Compliance Monitoring (2021-2030) ($MN)  
21 Global Docker Monitoring Market Outlook, By Other Monitorings (2021-2030) ($MN)  
22 Global Docker Monitoring Market Outlook, By Application (2021-2030) ($MN)   
23 Global Docker Monitoring Market Outlook, By IT & Telecommunications (2021-2030) ($MN)  
24 Global Docker Monitoring Market Outlook, By Healthcare (2021-2030) ($MN)   
25 Global Docker Monitoring Market Outlook, By Banking, Financial Services, and Insurance (2021-2030) ($MN)
26 Global Docker Monitoring Market Outlook, By Retail & eCommerce (2021-2030) ($MN)  
27 Global Docker Monitoring Market Outlook, By Government & Defense (2021-2030) ($MN)  
28 Global Docker Monitoring Market Outlook, By Other Applications (2021-2030) ($MN)  
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.

Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.

For more details about research methodology, kindly write to us at

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