Chaos Engineering Tools Market

Chaos Engineering Tools Market by Component (Tools and Services), Application, Deployment Mode (Public Cloud and Private Cloud), End User, Vertical (IT & ITeS, BFSI, Telecommunications, and Media & Entertainment) and Region - Global Forecast to 2028

Report Code: TC 8824 Oct, 2023, by marketsandmarkets.com

[206 Pages Report] The global Chaos Engineering Tools Market size as per revenue was surpassed $1.9 billion in 2023. It is anticipated to grow at a CAGR of 8.8% in between 2023 to 2028. The revenue forecast for 2028 is set for the valuation of $2.9 billion. The base year for estimation is 2022 and the market size available for the years from 2023 to 2028.

As chaos engineering became more prevalent, the late 2010s saw the emergence of commercial chaos engineering platforms. Companies like Gremlin and ChaosIQ recognized the potential and began offering more comprehensive tools with features and support for conducting controlled experiments. Chaos engineering started integrating closely with cloud computing, microservices, and DevOps practices. It became an integral part of the DevOps pipeline, ensuring the resilience of CI/CD processes. By the mid-2020s, automation became a focal point for chaos engineering tools. Advanced platforms offered automated chaos experiments, reducing the need for manual intervention and enabling organizations to conduct these tests more frequently and consistently.

Moreover, features like AI-driven analysis of experiment results, enhanced observability, and remediation suggestions became common, making chaos engineering even more effective. The chaos engineering ecosystem continues to grow by developing new tools, libraries, and best practices. It has established itself as a fundamental practice in reliability engineering, fostering a robust knowledge base and community resources, including books, workshops, and online communities. The evolution of chaos engineering tools underscores their critical role in helping organizations ensure the resilience of their increasingly complex digital systems in a world driven by advanced technologies and a need for unwavering service availability.

Global chaos engineering tools market trends

Chaos Engineering Tools Market

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Chaos Engineering Tools Market

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Recession Impact on the Chaos Engineering Tools Market

The global chaos engineering tools market has been subject to a complex interplay of factors in recent years, including the pandemic, recession, geopolitical tensions, inflation, and rising interest rates. While chaos engineering remains a critical practice for ensuring system resilience, these external challenges have had an impact. The pandemic accelerated digital transformation, prompting organizations to recognize the importance of chaos engineering for maintaining service availability and reliability. However, economic challenges such as recession, inflation, and rising interest rates have forced some organizations to reevaluate their spending priorities, potentially impacting investments in this domain. Geopolitical tensions, exemplified by the Russia-Ukraine war, have introduced uncertainties, affecting global supply chains and potentially leading to a greater focus on the reliability of digital systems. Despite these challenges, the chaos engineering tools market is expected to remain resilient as businesses understand that proactively addressing vulnerabilities and disruptions is crucial, especially in an environment marked by increasing complexity and uncertainty. The need for consistent service availability and system reliability remains paramount, further emphasizing the relevance of chaos engineering practices.

Chaos Engineering Tools Market Dynamics

Driver:  Need for observability tools for managing distributed systems

Observability tools drive the growth and adoption of the chaos engineering market by serving as the backbone for designing, executing, and extracting value from chaos experiments. Observability tools and practices offer organizations a holistic view of their complex, distributed systems, enabling them to monitor performance metrics, trace transactions, analyze logs, and gain real-time insights into system behavior. This level of visibility empowers chaos engineers to conduct more precise and impactful experiments, identify vulnerabilities, and measure the effects of injected failures with unprecedented accuracy. As businesses increasingly rely on digital infrastructure and applications, the need to ensure system resilience and reliability has grown exponentially. Observability facilitates the discovery of weaknesses and enables organizations to enhance their Mean Time To Detection (MTTD) of issues, quantify the business impact of failures, and make data-driven decisions to improve system robustness. The synergy between observability and chaos engineering has become so symbiotic that observability platforms now offer specialized features and integrations tailored to chaos engineering, further cementing their role in driving the growth of this essential practice in modern system engineering and operations.

Restraint: Privacy and security concerns

Privacy and security concerns can be significant barriers to the widespread adoption of chaos engineering tools. As chaos engineering involves intentionally injecting failures and disruptions into systems to identify weaknesses, it can raise valid apprehensions about data privacy and system security. Organizations may be reluctant to expose sensitive customer data or confidential information to potential risks associated with chaos experiments. Moreover, the chaos engineering process requires deep visibility into the system, which may inadvertently reveal vulnerabilities that malicious actors could exploit. This heightened exposure can understandably lead to resistance, especially in highly regulated industries like healthcare and finance, where data privacy and security compliance are paramount.

Opportunity: Integration with monitoring and observability tools

Integration with monitoring and observability tools creates significant opportunities in the chaos engineering tools market by bridging the gap between proactive resilience testing and real-time system monitoring. When chaos engineering tools seamlessly integrate with monitoring and observability solutions, organizations gain enhanced visibility into their system's behavior under simulated stress conditions. This integration enables quicker detection and response to issues, facilitating the identification of vulnerabilities and performance bottlenecks. It also empowers teams to make data-driven decisions for improving system resilience. Furthermore, the synergy between chaos engineering and observability helps organizations validate the effectiveness of their monitoring and alerting systems, ensuring they are robust and reliable. As businesses increasingly prioritize observability in modern, complex IT environments, chaos engineering tools offer this integration to provide holistic solutions, making them pivotal players in enhancing system reliability and performance.

Challenge: Risk of outages

The risk of outages poses a significant challenge for the chaos engineering tools market. While the primary purpose of chaos engineering is to uncover vulnerabilities and weaknesses in systems proactively, the very nature of injecting controlled failures and disruptions carries inherent risks. Unintended or poorly managed experiments can lead to production outages or performance degradation, causing financial losses and reputational damage for organizations. This risk aversion can deter some businesses from adopting chaos engineering practices altogether, inhibiting market growth. To address this challenge, organizations must approach chaos engineering with a meticulous and measured approach, ensuring that experiments are carefully scoped, safeguards are in place, and robust rollback procedures are established. Effective communication and education around the benefits and risks of chaos engineering can help organizations strike the right balance between improving system resilience and maintaining operational stability.

Chaos Engineering Tools Market Ecosystem

Chaos Engineering Tools Market

Based on components, the tools segment is projected to witness the highest market share during the forecast period.

Chaos engineering tools are increasingly essential in today's complex and dynamic software landscape. As systems grow in complexity and scale, proactively identifying and addressing potential weaknesses becomes paramount. These tools enable organizations to intentionally inject controlled chaos into their infrastructure, applications, and services to uncover vulnerabilities and resiliency issues before they lead to costly outages or security breaches. By simulating real-world disruptions, such as network failures, hardware glitches, or unexpected traffic spikes, chaos engineering tools help teams fine-tune their systems, build robustness, and enhance their incident response capabilities. In addition, embracing chaos engineering tools is an intelligent strategy to fortify digital operations and ensure that services remain dependable, even in the face of unforeseen challenges.

By Vertical, the media & entertainment segment is expected to grow at the highest CAGR during the forecast period.

Chaos engineering in the media & entertainment industry helps organizations proactively identify weaknesses, improve infrastructure, enhance user experiences, and ensure uninterrupted content delivery. By deliberately introducing controlled failures, companies can better prepare for real-world challenges and maintain high service quality for their audiences. Companies from the media and entertainment industry heavily rely on advertising revenue. Chaos engineering can be used to test the resilience of ad delivery systems. This includes assessing the impact of ad server failures or network disruptions on the delivery of advertisements. Chaos engineering helps media and entertainment companies to understand how users' experiences are affected by failures. By introducing controlled chaos into their systems, they can assess how performance issues or downtime impact user engagement and satisfaction. This data can guide improvements in user experience design and system reliability. Media and entertainment companies leverage chaos engineering tools to ensure their digital services remain reliable and resilient, even in unexpected disruptions and high-demand situations. For instance, Netflix, a leading online streaming platform, employed a tool called “Chaos Monkey” to randomly terminate production instances to test the resilience of their infrastructure. They shut down a group of servers in the middle of a stream to ensure their system can gracefully handle such disruptions without affecting user experience.

Based on Region, North America is expected to hold the largest market share during the forecast period.

North America is expected to hold the largest global chaos engineering tools market share. North America comprises the US and Canada. The adoption of chaos engineering tools in North America has witnessed a significant surge in recent years, reflecting the region's steadfast commitment to enhancing the reliability and resilience of complex software systems. North American businesses, particularly those in the tech, eCommerce, and finance sectors, have recognized the critical importance of robust digital infrastructure in delivering uninterrupted services and maintaining customer trust. In April 2021, Facebook experienced one of its most substantial data breaches, resulting in the unauthorized disclosure of personal information. This breach exposed the names, phone numbers, account usernames, and passwords of more than 530 million individuals to the public. Such incidents of high-profile software failures and outages, which can have crippling financial and reputational repercussions, have spurred this proactive approach to system reliability.

Further, the embrace of DevOps practices, prioritizing rapid software development and deployment, alongside the widespread adoption of microservices architecture, has created a pressing need to enhance system resilience and reliability. High-profile incidents, such as the 2017 AWS S3 outage, underscored the urgency of bolstering system robustness. Organizations across North America are increasingly integrating chaos engineering tools into their automated pipelines, a key component of the DevOps framework, to proactively test and fortify their systems against disruptions, ensuring continuous service availability and strengthening their position in the dynamic digital landscape.

Chaos Engineering Tools Market Size, and Share

Key Market Players

The chaos engineering tools market is dominated by a few globally established players such as Microsoft (US), AWS (US), OpenText (US), Virtusa (US), and Tricentis (US), among others, are the key vendors that secured chaos engineering tools contracts in last few years. These vendors can bring global processes and execution expertise to the table; the local players only have local expertise. Driven by increased disposable incomes, easy access to knowledge, and fast adoption of technological products, buyers are more willing to experiment/test new things in the chaos engineering tools market.

Scope of Report

Report Metrics

Details

Market size available for years

2018–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

Value (USD Million/Billion)

Segments Covered

Component, Application, Deployment Mode, End User, and Vertical

Regions covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

Microsoft (US), AWS (US), OpenText (Canada), Virtusa (US), Tricentis (US), Harness (US), Nagarro (Germany), PagerDuty (US), Cavission Systems (US), Gremlin (US), Steadybit (Germany), Reliably (UK), Speedscale (US), Verica (US), WireMock (US), Apica (Sweden), ChaosSearch (US), RapidSpike (UK), and DevCycle (Canada).

Chaos Engineering Tools Market Highlights

This research report categorizes the Chaos Engineering Tools Market to forecast revenues and analyze trends in each of the following submarkets:

Segment

Subsegment

Based on Component:

  • Tools
  • Services

Based on Application:

  • Fault Injection & Testing
  • Resilience Testing & Disaster Recovery
  • Security Resilience Testing
  • Performance & Scalability Testing
  • Other Applications

Based on Deployment Mode:

  • Public Cloud
  • Private Cloud

Based on Vertical:

  • BFSI
  • IT & ITeS
  • Telecommunications
  • Manufacturing
  • Retail & eCommerce
  • Media & Entertainment
  • Healthcare & Life Sciences
  • Other Verticals

Based on Region:

  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • Rest of Asia Pacific
  • Middle East & Africa
    • Kingdom of Saudi Arabia
    • Rest of Middle East & Africa
  • Latin America
    • Brazil
    • Rest of Latin America

Recent Developments:

  • In February 2023, Tricentis announced the launch of Testim Mobile, an expansion of Testim that brings advanced mobile testing capabilities to the platform. The newly introduced mobile features enhance connectivity and provide a superior testing experience for iOS and Android, covering native and web applications with easy-to-use solutions.
  • In March 2022, OpenText announced a partnership with Gremlin to develop new capabilities in LoadRunner Professional. With this release, the company enhanced its support for chaos engineering, offering benefits such as resilience testing, fault detection, introducing chaos, monitoring performance, and supporting multiple scenarios.
  • In March 2022, Harness acquired ChaosNative, a creator of LitmusChaos, to offer a scalable platform for chaos engineering in the cloud and on-premises. This integration allows customers to diminish downtime in distributed environments, monitor enhancements in reliability, decrease Mean Time to Resolution (MTTR), and enhance the overall end-user experience.
  • In November 2021, Microsoft announced the Azure Chaos Studio public preview to assist customers in monitoring, quantifying, and addressing faults through controlled chaos engineering, enhancing the robustness of their cloud applications.
  • In March 2021, AWS announced the general availability of the AWS Fault Injection Simulator to help users run application tests to detect system vulnerabilities.

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 31)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
    1.4 YEARS CONSIDERED 
    1.5 CURRENCY CONSIDERED 
           TABLE 1 USD EXCHANGE RATES, 2018–2022
    1.6 STAKEHOLDERS 
 
2 RESEARCH METHODOLOGY (Page No. - 36)
    2.1 RESEARCH DATA 
           FIGURE 1 CHAOS ENGINEERING TOOLS MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key insights from industry experts
    2.2 DATA TRIANGULATION 
           FIGURE 2 MARKET: DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
                    FIGURE 6 MARKET: RESEARCH FLOW
           2.3.3 MARKET ESTIMATION APPROACHES
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - SUPPLY SIDE: ILLUSTRATION OF VENDOR REVENUE ESTIMATION
                    FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY: SUPPLY-SIDE ANALYSIS
                    FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH FROM SUPPLY SIDE - COLLECTIVE REVENUE OF VENDORS
                    FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY - DEMAND-SIDE APPROACH: REVENUE GENERATED FROM DIFFERENT VERTICALS
                    FIGURE 11 MARKET SIZE ESTIMATION METHODOLOGY - DEMAND SIDE APPROACH: MARKET
    2.4 CHAOS ENGINEERING TOOLS MARKET FORECAST: FACTOR ANALYSIS 
           TABLE 2 FACTOR ANALYSIS
    2.5 RECESSION IMPACT AND RESEARCH ASSUMPTIONS 
           2.5.1 RECESSION IMPACT
           2.5.2 RESEARCH ASSUMPTIONS
    2.6 LIMITATIONS AND RISK ASSESSMENT 
 
3 EXECUTIVE SUMMARY (Page No. - 52)
    FIGURE 12 FASTEST-GROWING SEGMENTS IN CHAOS ENGINEERING TOOLS MARKET, 2023–2028 
    FIGURE 13 TOOLS SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE DURING FORECAST PERIOD 
    FIGURE 14 PUBLIC CLOUD SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE DURING FORECAST PERIOD 
    FIGURE 15 IT & ITES VERTICAL TO ACCOUNT FOR LARGEST MARKET SIZE DURING FORECAST PERIOD 
    FIGURE 16 CHAOS ENGINEERING TOOLS MARKET: REGIONAL SNAPSHOT 
 
4 PREMIUM INSIGHTS (Page No. - 57)
    4.1 OVERVIEW OF CHAOS ENGINEERING TOOLS MARKET 
           FIGURE 17 GROWING DEMAND FOR UNDERSTANDING FAILURE TYPES IN SOFTWARE APPLICATIONS
    4.2 MARKET, BY COMPONENT, 2023 VS. 2028 
           FIGURE 18 TOOLS SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD
    4.3 MARKET, BY DEPLOYMENT MODE, 2023 VS. 2028 
           FIGURE 19 PUBLIC CLOUD SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD
    4.4 MARKET, BY VERTICAL, 2023 VS. 2028 
           FIGURE 20 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
    4.5 MARKET: REGIONAL SCENARIO, 2023–2028 
           FIGURE 21 ASIA PACIFIC TO EMERGE AS BEST MARKET FOR INVESTMENT IN NEXT FIVE YEARS
 
5 CHAOS ENGINEERING TOOLS MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 60)
    5.1 INTRODUCTION 
           5.1.1 CHAOS ENGINEERING MATURITY MODEL
    5.2 MARKET DYNAMICS 
           FIGURE 22 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: CHAOS ENGINEERING TOOLS MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Need for observability tools for managing distributed systems
                               FIGURE 23 BENEFITS OF OBSERVABILITY TOOLS, 2023
                    5.2.1.2 Need for resilience and reliability in DevOps
                               FIGURE 24 STATE OF DEVOPS MATURITY
                    5.2.1.3 Growing adoption of cloud-native applications
           5.2.2 RESTRAINTS
                    5.2.2.1 Privacy and security concerns
                    5.2.2.2 Complexity and lack of expertise required for conducting experiments
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Integration with monitoring and observability tools
                    5.2.3.2 Growing adoption of hybrid and multi-cloud environments
           5.2.4 CHALLENGES
                    5.2.4.1 Risk of outages
                    5.2.4.2 Requirement of robust monitoring systems
    5.3 CASE STUDY ANALYSIS 
           5.3.1 CASE STUDY 1: GREMLIN HELPED NAB BUILD RESILIENCE USING CHAOS ENGINEERING TECHNOLOGY
           5.3.2 CASE STUDY 2: STEADYBIT'S INNOVATIVE CHAOS ENGINEERING SOLUTION ENABLED SALESFORCE TO ATTAIN UNPARALLELED SYSTEM RESILIENCE
           5.3.3 CASE STUDY 3: LEADING MANUFACTURER ACHIEVED BUSINESS CONTINUITY WITH NAGARRO’S RESILIENCE ENGINEERING
    5.4 SUPPLY CHAIN ANALYSIS 
           FIGURE 25 CHAOS ENGINEERING TOOLS MARKET: SUPPLY CHAIN ANALYSIS
    5.5 ECOSYSTEM 
           FIGURE 26 CHAOS ENGINEERING TOOLS MARKET: ECOSYSTEM
    5.6 TECHNOLOGICAL ANALYSIS 
           5.6.1 KEY TECHNOLOGIES
                    5.6.1.1 Containerization
                    5.6.1.2 Orchestration
                    5.6.1.3 Microservices
                    5.6.1.4 Cloud Computing
           5.6.2 COMPLEMENTARY TECHNOLOGIES
                    5.6.2.1 AI and ML
                    5.6.2.2 Service Mesh Technology
           5.6.3 ADJACENT TECHNOLOGIES
                    5.6.3.1 DevOps
                    5.6.3.2 SRE
                    5.6.3.3 Edge Computing
    5.7 INDICATIVE PRICING ANALYSIS 
           TABLE 3 RELIABLY: PRICING ANALYSIS IN CHAOS ENGINEERING TOOLS MARKET, BY TOOL
           TABLE 4 DEVCYCLE: PRICING ANALYSIS IN MARKET, BY TOOL
           TABLE 5 RAPIDSPIKE: PRICING ANALYSIS IN MARKET, BY TOOL
    5.8 BUSINESS MODEL ANALYSIS 
    5.9 PATENT ANALYSIS 
           FIGURE 27 NUMBER OF PATENTS PUBLISHED, 2012–2022
           FIGURE 28 TOP FIVE PATENT OWNERS (GLOBAL), 2022
           TABLE 6 TOP TEN PATENT APPLICANTS (US), 2022
    5.10 PORTER’S FIVE FORCES ANALYSIS 
           FIGURE 29 CHAOS ENGINEERING TOOLS MARKET: PORTER’S FIVE FORCES ANALYSIS
           TABLE 7 MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.10.1 THREAT OF NEW ENTRANTS
           5.10.2 THREAT OF SUBSTITUTES
           5.10.3 BARGAINING POWER OF SUPPLIERS
           5.10.4 BARGAINING POWER OF BUYERS
           5.10.5 INTENSITY OF COMPETITIVE RIVALRY
    5.11 KEY CONFERENCES AND EVENTS IN 2023 & 2024 
                    TABLE 8 CHAOS ENGINEERING TOOLS MARKET: KEY CONFERENCES AND EVENTS IN 2023 & 2024
    5.12 TARIFF AND REGULATORY LANDSCAPE 
           5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 9 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 10 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 11 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 12 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.12.2 REGULATIONS
           5.12.3 NORTH AMERICA
           5.12.4 EUROPE
           5.12.5 ASIA PACIFIC
           5.12.6 MIDDLE EAST & AFRICA
           5.12.7 LATIN AMERICA
    5.13 TRENDS/DISRUPTIONS IMPACTING BUYERS 
                    FIGURE 30 CHAOS ENGINEERING TOOLS MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS
    5.14 KEY STAKEHOLDERS & BUYING CRITERIA 
           5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 31 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR INDUSTRY VERTICALS
                    TABLE 13 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR INDUSTRY VERTICALS (%)
           5.14.2 BUYING CRITERIA
                    FIGURE 32 KEY BUYING CRITERIA FOR END USERS
                    TABLE 14 KEY BUYING CRITERIA FOR END USERS
 
6 CHAOS ENGINEERING TOOLS MARKET, BY COMPONENT (Page No. - 84)
    6.1 INTRODUCTION 
           FIGURE 33 STEPS TO UNDERSTAND CHAOS ENGINEERING TOOLS
           6.1.1 COMPONENT: MARKET DRIVERS
                    FIGURE 34 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 15 MARKET, BY COMPONENT, 2018–2022 (USD MILLION)
                    TABLE 16 MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
    6.2 TOOLS 
           6.2.1 NEED TO MAINTAIN SYSTEM RESILIENCE AND RELIABILITY TO DRIVE DEMAND FOR CHAOS ENGINEERING TOOLS
           6.2.2 TOOLS: CHAOS ENGINEERING TOOLS MARKET DRIVERS
                    TABLE 17 TOOLS: MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 18 TOOLS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.3 MONITORING & OBSERVABILITY TOOLS
    6.3 SERVICES 
           6.3.1 SERVICES: MARKET DRIVERS
                    TABLE 19 SERVICES: MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 20 SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.2 PROFESSIONAL SERVICES
                    6.3.2.1 Professional services to offer expertise and guidance
                    6.3.2.2 Integration & Implementation
                    6.3.2.3 Consulting & Advisory
                    6.3.2.4 Support & Maintenance
                               6.3.2.4.1 Community Support
                               6.3.2.4.2 Standard Support
                               6.3.2.4.3 Premium Support
                    6.3.2.5 Training & Documentation
                               6.3.2.5.1 Comprehensive Documentation
                               6.3.2.5.2 Online Training Courses
 
7 CHAOS ENGINEERING TOOLS MARKET, BY APPLICATION (QUALITATIVE ANALYSIS) (Page No. - 92)
    7.1 INTRODUCTION 
           7.1.1 APPLICATION: MARKET DRIVERS
    7.2 FAULT INJECTION & TESTING 
           7.2.1 FAULT INJECTION & TESTING TO IDENTIFY VULNERABILITIES, OPTIMIZE RECOVERY PROCESSES, AND ENHANCE SYSTEM RELIABILITY
    7.3 RESILIENCE TESTING & DISASTER RECOVERY 
           7.3.1 UNEXPECTED NETWORK FAILURES
    7.4 SECURITY RESILIENCE TESTING 
           7.4.1 NEED TO FORTIFY SYSTEMS AGAINST CYBER THREATS AND SAFEGUARD SENSITIVE INFORMATION MANAGING SECURITY TO DRIVE MARKET
    7.5 PERFORMANCE & SCALABILITY TESTING 
           7.5.1 NEED TO MAINTAIN USER SATISFACTION AND MEET CUSTOMER EXPECTATIONS FOR SEAMLESS EXPERIENCES TO DRIVE MARKET
    7.6 OTHER APPLICATIONS 
 
8 CHAOS ENGINEERING TOOLS MARKET, BY DEPLOYMENT MODE (Page No. - 95)
    8.1 INTRODUCTION 
           8.1.1 DEPLOYMENT MODE: MARKET DRIVERS
                    FIGURE 35 PUBLIC CLOUD SEGMENT TO ACCOUNT FOR LARGER MARKET DURING FORECAST PERIOD
                    TABLE 21 MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                    TABLE 22 MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
    8.2 PUBLIC CLOUD 
           8.2.1 NEED FOR COST-EFFECTIVENESS, SCALABILITY, AND EASE OF DEPLOYMENT TO FUEL DEMAND FOR PUBLIC CLOUD
                    TABLE 23 PUBLIC CLOUD: MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 24 PUBLIC CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.3 PRIVATE CLOUD 
           8.3.1 PRIVATE CLOUD TO ENHANCE CONTROL, ISOLATION FROM PUBLIC INTERNET, AND PREDICTABLE PERFORMANCE
                    TABLE 25 PRIVATE CLOUD: MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 26 PRIVATE CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 CHAOS ENGINEERING TOOLS MARKET, BY VERTICAL (Page No. - 100)
    9.1 INTRODUCTION 
           FIGURE 36 IT & ITES VERTICAL TO ACCOUNT FOR LARGEST MARKET SIZE IN 2023
           9.1.1 VERTICAL: MARKET DRIVERS
                    TABLE 27 MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
                    TABLE 28 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
    9.2 BFSI 
           9.2.1 CHAOS ENGINEERING TOOLS TO MANAGE INCREASING RISKS WITH DIGITALIZATION OF BANKING PROCESSES
                    TABLE 29 BFSI: MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 30 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.3 IT & ITES 
           9.3.1 CHAOS ENGINEERING TOOLS TO FORTIFY DIGITAL INFRASTRUCTURE AND IDENTIFY AND MITIGATE VULNERABILITIES BEFORE THEY ESCALATE
                    TABLE 31 IT & ITES: MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 32 IT & ITES: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.4 TELECOMMUNICATIONS 
           9.4.1 NEED TO ENHANCE PERFORMANCE AND RELIABILITY, IDENTIFY POTENTIAL VULNERABILITIES, AND OPTIMIZE INCIDENT RESPONSE STRATEGIES TO DRIVE MARKET
                    TABLE 33 TELECOMMUNICATIONS: CHAOS ENGINEERING TOOLS MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 34 TELECOMMUNICATIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.5 RETAIL & ECOMMERCE 
           9.5.1 CHAOS ENGINEERING TOOLS TO PREVENT RETAIL INDUSTRY FROM DATA BREACHES AND SECURITY INCIDENTS
                    TABLE 35 RETAIL & ECOMMERCE: MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 36 RETAIL & ECOMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.6 MEDIA & ENTERTAINMENT 
           9.6.1 NEED TO IDENTIFY WEAKNESSES, IMPROVE INFRASTRUCTURE, ENHANCE USER EXPERIENCES, AND ENSURE UNINTERRUPTED CONTENT DELIVERY TO DRIVE MARKET
                    TABLE 37 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 38 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.7 MANUFACTURING 
           9.7.1 ADOPTION OF INDUSTRY 4.0 AND IOT TO BOOST DEMAND FOR CHAOS ENGINEERING TOOLS IN MANUFACTURING INDUSTRY
                    TABLE 39 MANUFACTURING: CHAOS ENGINEERING TOOLS MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 40 MANUFACTURING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.8 HEALTHCARE & LIFE SCIENCES 
           9.8.1 GROWING COMPLEXITIES IN DATA MANAGEMENT AND NEED TO PREVENT DATA BREACHES AND SYSTEM RELIABILITY TO PROPEL MARKET
                    TABLE 41 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2018–2022 (USD MILLION)
                    TABLE 42 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.9 OTHER VERTICALS 
           TABLE 43 OTHER VERTICALS: MARKET, BY REGION, 2018–2022 (USD MILLION)
           TABLE 44 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
10 CHAOS ENGINEERING TOOLS MARKET, BY END USER (QUALITATIVE ANALYSIS) (Page No. - 111)
     10.1 INTRODUCTION 
             10.1.1 END USER: MARKET DRIVERS
     10.2 DEVELOPERS 
             10.2.1 NEED TO FINE-TUNE APPLICATIONS, IMPROVE SYSTEM RESILIENCE, AND ENHANCE OVERALL RELIABILITY TO DRIVE MARKET
     10.3 QA/TEST TEAMS 
             10.3.1 NEED TO IDENTIFY WEAKNESSES AND BOTTLENECKS AND IMPROVE COVERAGE AND QUALITY OF TESTING TO DRIVE MARKET
     10.4 OPERATIONS TEAMS 
             10.4.1 CHAOS ENGINEERING TOOLS TO STRENGTHEN SYSTEMS, REDUCE DOWNTIME, AND BOLSTER OVERALL OPERATIONAL EFFICIENCY
     10.5 SECURITY TEAMS 
             10.5.1 NEED TO ENABLE SECURITY PROFESSIONALS TO SIMULATE REAL-WORLD ATTACKS AND VULNERABILITIES TO PROPEL MARKET
 
11 CHAOS ENGINEERING TOOLS MARKET, BY REGION (Page No. - 113)
     11.1 INTRODUCTION 
               FIGURE 37 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SIZE BY 2028
               TABLE 45 MARKET, BY REGION, 2018–2022 (USD MILLION)
               TABLE 46 MARKET, BY REGION, 2023–2028 (USD MILLION)
             11.1.1 NORTH AMERICA
             11.1.2 NORTH AMERICA: CHAOS ENGINEERING TOOLS MARKET DRIVERS
             11.1.3 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 38 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 47 NORTH AMERICA: MARKET, BY COMPONENT, 2018–2022 (USD MILLION)
                       TABLE 48 NORTH AMERICA: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 49 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                       TABLE 50 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 51 NORTH AMERICA: MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
                       TABLE 52 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 53 NORTH AMERICA: MARKET, BY COUNTRY, 2018–2022 (USD MILLION)
                       TABLE 54 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.1.4 US
                       11.1.4.1 Convergence of advanced technologies and need to identify and address potential issues to drive market
                                   TABLE 55 US: CHAOS ENGINEERING TOOLS MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 56 US: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
             11.1.5 CANADA
                       11.1.5.1 Canadian financial institutions to embrace chaos engineering tools to modernize their infrastructure and enhance customer experiences
                                   TABLE 57 CANADA: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 58 CANADA: MARKET, BY DEPLOYMENT MODE DEPLOYMENT MODE, 2023–2028 (USD MILLION)
     11.2 EUROPE 
             11.2.1 EUROPE: CHAOS ENGINEERING TOOLS MARKET DRIVERS
             11.2.2 EUROPE: RECESSION IMPACT
                       TABLE 59 EUROPE: MARKET, BY COMPONENT, 2018–2022 (USD MILLION)
                       TABLE 60 EUROPE: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 61 EUROPE: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                       TABLE 62 EUROPE: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 63 EUROPE: MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
                       TABLE 64 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 65 EUROPE: MARKET, BY COUNTRY, 2018–2022 (USD MILLION)
                       TABLE 66 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.2.3 UK
                       11.2.3.1 Proliferation of microservices and DevOps and advanced IT infrastructure supporting digitalization to propel market
                                   TABLE 67 UK: CHAOS ENGINEERING TOOLS MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 68 UK: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
             11.2.4 GERMANY
                       11.2.4.1 Growing technological developments in automotive sector and need to increase production to drive market
                                   TABLE 69 GERMANY: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 70 GERMANY: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
             11.2.5 FRANCE
                       11.2.5.1 Rapid technological adoption and digitalization of industries to fuel demand for chaos engineering tools
                                   TABLE 71 FRANCE: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 72 FRANCE: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
             11.2.6 ITALY
                       11.2.6.1 Growing complexity of software applications with distributed architecture to propel market
                                   TABLE 73 ITALY: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 74 ITALY: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
             11.2.7 REST OF EUROPE
                       TABLE 75 REST OF EUROPE: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                       TABLE 76 REST OF EUROPE: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
     11.3 ASIA PACIFIC 
             11.3.1 ASIA PACIFIC: CHAOS ENGINEERING TOOLS MARKET DRIVERS
             11.3.2 ASIA PACIFIC: RECESSION IMPACT
                       FIGURE 39 ASIA PACIFIC: MARKET SNAPSHOT
                       TABLE 77 ASIA PACIFIC: MARKET, BY COMPONENT, 2018–2022 (USD MILLION)
                       TABLE 78 ASIA PACIFIC: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 79 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                       TABLE 80 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 81 ASIA PACIFIC: MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
                       TABLE 82 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 83 ASIA PACIFIC: MARKET, BY COUNTRY, 2018–2022 (USD MILLION)
                       TABLE 84 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.3.3 CHINA
                       11.3.3.1 Presence of major cloud providers and well-developed technological infrastructure to drive market
                                   TABLE 85 CHINA: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 86 CHINA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
             11.3.4 JAPAN
                       11.3.4.1 Growing technological innovation and rising cloud adoption rates to fuel demand for chaos engineering tools
                                   TABLE 87 JAPAN: CHAOS ENGINEERING TOOLS MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 88 JAPAN: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
             11.3.5 INDIA
                       11.3.5.1 Rising development in IT infrastructure and need to test and enhance resilience of complex systems to drive market
                                   TABLE 89 INDIA: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 90 INDIA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
             11.3.6 REST OF ASIA PACIFIC
                       TABLE 91 REST OF ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                       TABLE 92 REST OF ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
     11.4 MIDDLE EAST & AFRICA 
             11.4.1 MIDDLE EAST & AFRICA: CHAOS ENGINEERING TOOLS MARKET DRIVERS
             11.4.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
                       TABLE 93 MIDDLE EAST & AFRICA: MARKET, BY COMPONENT, 2018–2022 (USD MILLION)
                       TABLE 94 MIDDLE EAST & AFRICA: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 95 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                       TABLE 96 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 97 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
                       TABLE 98 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 99 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2018–2022 (USD MILLION)
                       TABLE 100 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.4.3 KSA
                       11.4.3.1 Rapid and transformative adoption of cloud computing and Saudi Vision 2030 initiative to propel market
                                   TABLE 101 KSA: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 102 KSA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
             11.4.4 REST OF MIDDLE EAST & AFRICA
                       TABLE 103 REST OF MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                       TABLE 104 REST OF MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
     11.5 LATIN AMERICA 
             11.5.1 LATIN AMERICA: CHAOS ENGINEERING TOOLS MARKET DRIVERS
             11.5.2 LATIN AMERICA: RECESSION IMPACT
                       TABLE 105 LATIN AMERICA: MARKET, BY COMPONENT, 2018–2022 (USD MILLION)
                       TABLE 106 LATIN AMERICA: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 107 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                       TABLE 108 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 109 LATIN AMERICA: MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
                       TABLE 110 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 111 LATIN AMERICA: MARKET, BY COUNTRY, 2018–2022 (USD MILLION)
                       TABLE 112 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.5.3 BRAZIL
                       11.5.3.1 Evolving ICT landscape, mobile connectivity, and a burgeoning tech startup ecosystem to propel market
                                   TABLE 113 BRAZIL: CHAOS ENGINEERING TOOLS MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                                   TABLE 114 BRAZIL: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
             11.5.4 REST OF LATIN AMERICA
                       TABLE 115 REST OF LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2018–2022 (USD MILLION)
                       TABLE 116 REST OF LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
 
12 COMPETITIVE LANDSCAPE (Page No. - 145)
     12.1 INTRODUCTION 
     12.2 KEY PLAYERS’ STRATEGIES/RIGHT TO WIN 
               TABLE 117 OVERVIEW OF STRATEGIES ADOPTED BY KEY CHAOS ENGINEERING TOOLS VENDORS
     12.3 CHAOS ENGINEERING TOOLS MARKET SHARE ANALYSIS 
               TABLE 118 MARKET SHARE OF KEY VENDORS IN 2022
               FIGURE 40 MARKET: MARKET SHARE ANALYSIS
     12.4 MARKET: VENDOR PRODUCTS/BRANDS - COMPARISON 
               TABLE 119 VENDOR PRODUCTS/BRANDS - COMPARISON
     12.5 REVENUE ANALYSIS OF TOP VENDORS 
               FIGURE 41 REVENUE ANALYSIS FOR KEY PLAYERS IN PAST FIVE YEARS
             12.5.1 MICROSOFT
             12.5.2 AWS
             12.5.3 OPENTEXT
     12.6 COMPANY EVALUATION MATRIX, 2022 
               FIGURE 42 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
             12.6.1 STARS
             12.6.2 EMERGING LEADERS
             12.6.3 PERVASIVE PLAYERS
             12.6.4 PARTICIPANTS
                       FIGURE 43 CHAOS ENGINEERING TOOLS MARKET (GLOBAL): COMPANY EVALUATION MATRIX, 2022
             12.6.5 COMPANY FOOTPRINT
                       TABLE 120 COMPANY REGIONAL FOOTPRINT
                       TABLE 121 COMPANY VERTICAL FOOTPRINT
                       TABLE 122 COMPANY COMPONENT FOOTPRINT
                       TABLE 123 OVERALL COMPANY FOOTPRINT
     12.7 COMPANY FINANCIAL METRICS 
               FIGURE 44 COMPANY FINANCIAL METRICS, 2022
     12.8 GLOBAL SNAPSHOT OF KEY MARKET PARTICIPANTS 
               FIGURE 45 CHAOS ENGINEERING TOOLS MARKET: GLOBAL SNAPSHOT OF KEY MARKET PARTICIPANTS, 2022
     12.9 COMPETITIVE SCENARIO AND TRENDS 
               TABLE 124 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, MARCH 2021–JANUARY 2023
               TABLE 125 MARKET: DEALS, MARCH 2022–JANUARY 2023
 
13 COMPANY PROFILES (Page No. - 161)
     13.1 INTRODUCTION 
     13.2 KEY PLAYERS 
(Business Overview, Products/Solutions/Services Offered, Recent Developments, MnM view (Key strengths/Right to win, Strategic choices made, Weakness/competitive threats)*
             13.2.1 MICROSOFT
                       TABLE 126 MICROSOFT: COMPANY OVERVIEW
                       FIGURE 46 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 127 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 128 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
             13.2.2 AWS
                       TABLE 129 AWS: COMPANY OVERVIEW
                       FIGURE 47 AWS: COMPANY SNAPSHOT
                       TABLE 130 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 131 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
             13.2.3 OPENTEXT (MICRO FOCUS)
                       TABLE 132 OPENTEXT: COMPANY OVERVIEW
                       FIGURE 48 OPENTEXT: COMPANY SNAPSHOT
                       TABLE 133 OPENTEXT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 134 OPENTEXT: DEALS
             13.2.4 VIRTUSA
                       TABLE 135 VIRTUSA: COMPANY OVERVIEW
                       TABLE 136 VIRTUSA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             13.2.5 TRICENTIS
                       TABLE 137 TRICENTIS: COMPANY OVERVIEW
                       TABLE 138 TRICENTIS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 139 TRICENTIS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 140 TRICENTIS: DEALS
             13.2.6 HARNESS
                       TABLE 141 HARNESS: COMPANY OVERVIEW
                       TABLE 142 HARNESS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 143 HARNESS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 144 HARNESS: DEALS
             13.2.7 NAGARRO
                       TABLE 145 NAGARRO: COMPANY OVERVIEW
                       FIGURE 49 NAGARRO: COMPANY SNAPSHOT
                       TABLE 146 NAGARRO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 147 NAGARRO: DEALS
                       TABLE 148 NAGARRO: OTHERS
             13.2.8 CAVISSON SYSTEMS
                       TABLE 149 CAVISSON SYSTEMS: COMPANY OVERVIEW
                       TABLE 150 CAVISSON SYSTEMS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             13.2.9 PAGERDUTY
                       TABLE 151 PAGERDUTY: COMPANY OVERVIEW
                       FIGURE 50 PAGERDUTY: COMPANY SNAPSHOT
                       TABLE 152 PAGERDUTY: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             13.2.10 GREMLIN
                                   TABLE 153 GREMLIN: COMPANY OVERVIEW
                                   TABLE 154 GREMLIN: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 155 GREMLIN: PRODUCT LAUNCHES AND ENHANCEMENTS
             13.2.11 STEADYBIT
             13.2.12 RELIABLY(CHAOSIQ)
             13.2.13 SPEEDSCALE
             13.2.14 VERICA
             13.2.15 WIREMOCK
             13.2.16 APICA
             13.2.17 CHAOSSEARCH
             13.2.18 RAPIDSPIKE
             13.2.19 DEVCYCLE
*Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, MnM view (Key strengths/Right to win, Strategic choices made, Weakness/competitive threats)* might not be captured in case of unlisted companies.
 
14 ADJACENT MARKETS (Page No. - 189)
     14.1 INTRODUCTION 
             14.1.1 RELATED MARKETS
     14.2 CLOUD NATIVE STORAGE MARKET 
               TABLE 156 CLOUD NATIVE STORAGE MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
               TABLE 157 CLOUD NATIVE STORAGE MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
               TABLE 158 CLOUD NATIVE STORAGE MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION)
               TABLE 159 CLOUD NATIVE STORAGE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
               TABLE 160 CLOUD NATIVE STORAGE MARKET, BY DEPLOYMENT TYPE, 2017–2021 (USD MILLION)
               TABLE 161 CLOUD NATIVE STORAGE MARKET, BY DEPLOYMENT TYPE, 2022–2027 (USD MILLION)
               TABLE 162 CLOUD NATIVE STORAGE MARKET, BY VERTICAL, 2017–2021 (USD MILLION)
               TABLE 163 CLOUD NATIVE STORAGE MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
               TABLE 164 CLOUD NATIVE STORAGE MARKET, BY REGION, 2017–2021 (USD MILLION)
               TABLE 165 CLOUD NATIVE STORAGE MARKET, BY REGION, 2022–2027 (USD MILLION)
     14.3 DEVOPS MARKET 
               TABLE 166 DEVOPS MARKET, BY TYPE, 2018–2022 (USD MILLION)
               TABLE 167 DEVOPS MARKET, BY ORGANIZATION SIZE, 2018–2022 (USD MILLION)
               TABLE 168 PUBLIC CLOUD: DEVOPS MARKET, BY REGION, 2023–2028 (USD MILLION)
               TABLE 169 DEVOPS MARKET, BY CLOUD DEPLOYMENT MODEL, 2018–2022 (USD MILLION)
               TABLE 170 DEVOPS MARKET, BY CLOUD DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
               TABLE 171 DEVOPS MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
               TABLE 172 DEVOPS MARKET, BY REGION, 2018–2022 (USD MILLION)
               TABLE 173 DEVOPS MARKET, BY REGION, 2023–2028 (USD MILLION)
               TABLE 174 DEVOPS MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
               TABLE 175 DEVOPS MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
               TABLE 176 DEVOPS MARKET, BY TYPE, 2023–2028 (USD MILLION)
     14.4 OBSERVABILITY TOOLS AND PLATFORMS MARKET 
               TABLE 177 OBSERVABILITY TOOLS AND PLATFORMS MARKET, BY COMPONENT, 2018–2022 (USD MILLION)
               TABLE 178 OBSERVABILITY TOOLS AND PLATFORMS MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
               TABLE 179 OBSERVABILITY TOOLS AND PLATFORMS MARKET, BY DEPLOYMENT TYPE, 2018–2022 (USD MILLION)
               TABLE 180 OBSERVABILITY TOOLS AND PLATFORMS MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
               TABLE 181 OBSERVABILITY TOOLS AND PLATFORMS MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
               TABLE 182 OBSERVABILITY TOOLS AND PLATFORMS MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
               TABLE 183 OBSERVABILITY TOOLS AND PLATFORMS MARKET, BY REGION, 2018–2022 (USD MILLION)
               TABLE 184 OBSERVABILITY TOOLS AND PLATFORMS MARKET, BY REGION, 2023–2028 (USD MILLION)
 
15 APPENDIX (Page No. - 199)
     15.1 DISCUSSION GUIDE 
     15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     15.3 CUSTOMIZATION OPTIONS 
     15.4 RELATED REPORTS 
     15.5 AUTHOR DETAILS 

The study involved four major activities in estimating the current chaos engineering tools market size. Extensive secondary research was done to collect information on the market, the competitive market, and the parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. After that, the market breakup and data triangulation procedures were used to estimate the size of the various segments in the chaos engineering tools market.

Secondary Research

This research study used extensive secondary sources, directories, and databases, such as D&B Hoovers, DiscoverOrg, Factiva, vendor data sheets, product demos, Cloud Computing Association (CCA), Vendor Surveys, Asia Cloud Computing Association, and The Software Alliance. All these sources were referred to for identifying and collecting valuable information for this technical, market-oriented, and commercial study of the chaos engineering tools market.

Primary Research

Primary sources were several industry experts from the core and related industries, preferred software providers, hardware manufacturers, distributors, service providers, technology developers, alliances, and organizations related to all segments of the industry’s value chain. In-depth interviews were conducted with various primary respondents, including key industry participants, subject-matter experts, C-level executives of key market players, and industry consultants, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Primary interviews were conducted to gather insights, such as market statistics, the latest trends disrupting the market, new use cases implemented, data on revenue collected from products and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various technology trends, segmentation types, industry trends, and regions. Demand-side stakeholders, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), and Chief Security Officers (CSOs); the installation teams of governments/end users using chaos engineering tools; and digital initiatives project teams, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current use of services, which would affect the overall chaos engineering tools market.

Chaos Engineering Tools Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and forecast the chaos engineering tools market and other dependent submarkets. The bottom-up procedure was deployed to arrive at the overall market size using the revenues and offerings of key companies in the market. With data triangulation methods and validation through primary interviews, this study determined and confirmed the exact value of the overall parent market size. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segments.

The top-down and bottom-up approaches were used to estimate and validate the size of the chaos engineering tools market and various other dependent subsegments.

The research methodology used to estimate the market size included the following details:

  • The key players in the market were identified through secondary research, and their revenue contributions in the respective countries were determined through primary and secondary research.
  • This procedure included studying top market players' annual and financial reports and extensive interviews for key insights from industry leaders, such as Chief Executive Officers (CEOs), VPs, directors, and marketing executives.
  • All percentage splits and breakups were determined using secondary sources and verified through primary sources.

All the possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. This data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.

Chaos engineering tools market: Top-down and bottom-up approaches

Chaos Engineering Tools Market Size, and Share

To know about the assumptions considered for the study, Request for Free Sample Report

Data Triangulation

After arriving at the overall market size, the market was split into several segments and subsegments—using the market size estimation processes as explained above. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The data was triangulated by studying several factors and trends from both the demand and supply sides in the chaos engineering tools market.

Market Definition

Chaos engineering tools are software applications and platforms designed to facilitate the practice of chaos engineering. Chaos engineering is a discipline that involves controlled, deliberate experiments on a system or application to identify weaknesses, vulnerabilities, and potential points of failure. The goal is to proactively improve the system's resilience, fault tolerance, and reliability. These tools typically provide the means to inject various forms of controlled chaos into a system, enabling engineers to simulate real-world scenarios and observe how the system responds under stress. The observations from these experiments help teams uncover vulnerabilities and shortcomings in their architecture, enabling them to make targeted improvements.

Key Stakeholders

  • IT Service Providers
  • Support Infrastructure Equipment Providers
  • Component Providers
  • Software Providers
  • System Integrators
  • Network Service Providers
  • Consulting Service Providers
  • Professional Service Providers
  • Distributors and Resellers
  • Cloud Providers
  • Colocation Providers
  • Enterprises
  • Government and Standardization Bodies
  • Telecom Operators
  • Healthcare Organizations
  • Financial Organizations
  • Datacenter Vendors
  • Technology partners
  • Technology providers

Report Objectives

  • To define, describe, and forecast the global chaos engineering tools market based on component, application, deployment, end user, vertical, and region
  • To forecast the market size of the five major regional segments: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To strategically analyze the market subsegments with respect to individual growth trends, prospects, and contributions to the total market
  • To provide detailed information related to the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze the macro and micromarkets1 with respect to growth trends, prospects, and their contributions to the overall market
  • To analyze the industry trends, patents and innovations, and pricing data related to the chaos engineering tools market.
  • To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for major players.
  • To profile the key players in the market and comprehensively analyze their market share/ranking and core competencies across segments and subsegments.
  • To track and analyze the competitive developments, such as mergers and acquisitions, product developments, and partnerships and collaborations in the market.

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • The product matrix provides a detailed comparison of the product portfolio of each company.

Geographic Analysis

  • Further breakup of the Asia Pacific market into countries contributing 75% to the regional market size
  • Further breakup of the North American market into countries contributing 75% to the regional market size
  • Further breakup of the Latin American market into countries contributing 75% to the regional market size
  • Further breakup of the Middle Eastern & African market into countries contributing 75% to the regional market size
  • Further breakup of the European market into countries contributing 75% to the regional market size

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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Report Code
TC 8824
Published ON
Oct, 2023
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