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Sumo Logic, Inc. Unclaimed

Data Analytics

www.sumologic.com

Sumo Logic is a cloud-native data analytics company offering AI-powered analytics for security, observability, and operations.

Sumo Logic, Inc. is a cloud-native data analytics company that provides a platform for security, observability, and operational intelligence. The company enables organizations to monitor, troubleshoot, and automate cloud-native applications and infrastructure. Through AI-powered analytics and machine-learning driven insights, Sumo Logic helps customers detect threats, investigate incidents, and improve compliance and governance across complex, distributed environments. The platform collects and analyzes machine data from logs, metrics, and traces to deliver real-time visibility, scalable dashboards, and proactive alerting. Sumo Logic serves IT, security, and development teams in industries such as finance, retail, and technology, helping them accelerate incident response, optimize performance, and ensure secure, reliable cloud operations. The company emphasizes ease of integration, end-to-end data coverage, and security-conscious operations, enabling teams to operate with confidence in modern, cloud-first architectures.

Sumo Logic’s mission is to empower organizations to monitor, secure, and optimize cloud-native operations through real-time analytics and automation.

What we offer

Dojo AI

Enhance security operations and cloud visibility with an advanced multi-agent AI platform.

www.sumologic.com/solutions/dojo-ai

SIEM

Enhanced threat detection and response for security operations.

www.sumologic.com/solutions/siem

Logs for Security

Enhances cloud security by providing comprehensive log visibility.

www.sumologic.com/solutions/logs-for-security

Intelligent Cloud Operations

Enhances operational efficiency through proactive monitoring and rapid troubleshooting in cloud environments.

www.sumologic.com/solutions/observability

Security Data Lake

Enhance threat detection and compliance with a unified security data repository.

www.sumologic.com/solutions/security-data-lake

Cloud SOAR

Automate Security Operations to Enhance Incident Response and Threat Management.

www.sumologic.com/solutions/cloud-soar

LLM Observability

Enhance monitoring and insights for large language model applications.

www.sumologic.com/solutions/llm-observability

Log Management

Enhance cloud security and operational visibility with Sumo Logic's comprehensive log management solution.

www.sumologic.com/solutions/log-management

Infrastructure Monitoring

Gain real-time visibility and insights across your infrastructure.

www.sumologic.com/solutions/infrastructure-monitoring

Application Observability

Enhance application performance and reliability through comprehensive observability solutions.

www.sumologic.com/solutions/application-monitoring

AWS Monitoring

Gain real-time visibility and optimize your AWS workloads with advanced analytics.

www.sumologic.com/solutions/aws-monitoring

Kubernetes Monitoring

Gain deep visibility into Kubernetes clusters for enhanced operational resilience and performance.

www.sumologic.com/solutions/kubernetes-monitoring

Market segments

Market size by segment

Growth potential (CAGR)

Observability and application performance monitoring

11 Billion USD12.5% CAGR

End-to-end visibility for applications and infrastructure using metrics, traces, and logs to troubleshoot microservices, reduce alert noise, and optimize performance.

Cloud-native infrastructure monitoring

11.5 Billion USD16.5% CAGR

Monitoring, topology mapping, and capacity insights for cloud, containers, orchestration, and on‑prem infrastructure to support autoscaling, cost governance, and cloud migrations.

Security information and event management

7.79 Billion USD10.3% CAGR

Capabilities for centralized threat detection, investigation, correlation, compliance reporting, and SOC analytics combining SIEM, UEBA, and automated response.

Security orchestration and automation

1.8 Billion USD15% CAGR

Orchestration of security workflows, automated remediation, multi-agent execution, and conversational/contextual security intelligence to accelerate response and reduce manual effort.

AI observability and monitoring

1.9 Billion USD15% CAGR

Monitoring, performance tracking, drift detection, logging, and alerting to maintain model reliability, data quality, and operational performance in production.

More information about our offering

Dojo AI

New multi-agent AI platform that monitors, troubleshoots, automates, and defends cloud-native environments. Powered by AI/ML with proprietary algorithms, machine learning, and generative AI.

  • Automate Cloud Operations
    This capability facilitates automation across various cloud operations, ensuring efficient resource management and threat mitigation.
  • Leverage Advanced Analytics
    Utilize cutting-edge machine learning technologies to enhance data analytics, improving overall operational efficiency and predictive accuracy.
  • Streamline Security Operations
    This feature enhances the management of security operations, enabling faster detection and response to threats.
  • Improve Threat Discovery
    Enhance security posture by integrating SIEM functions that allow for swift identification and response to threats.
  • Enhance Cloud Security
    Unlock powerful log visibility to strengthen cloud security measures and monitor anomalies effectively.

SIEM

Discover threats faster and respond smarter.

  • Accelerate Threat Detection
    Utilizes machine learning to identify suspicious activity and anomalies in real-time, ensuring faster detection of potential threats.
  • Enhance Incident Response
    Facilitates immediate action plans by providing context-rich alerts and automated workflows, enabling security teams to respond effectively.
  • Achieve Immediate Visibility
    Provides continuous monitoring and real-time insights to keep your deployments secure and compliant.
  • Optimize Log Analysis
    Enables comprehensive log collection and analysis for improved security visibility and compliance across distributed environments.
  • Leverage Third-Party Tools
    Supports extensive integrations with AWS, Azure, and Google Cloud platforms to enhance the security posture.

Logs for Security

Unlock cloud security with powerful log visibility.

  • Enhance Security Posture
    By offering detailed insights into cloud operations, Logs for Security facilitates immediate detection of anomalies and threats, helping organizations to maintain a robust security posture.
  • Detect Threats Quickly
    By providing real-time analysis, this feature allows organizations to promptly identify and respond to potential security threats as they occur.
  • Facilitate Continuous Monitoring
    This feature ensures that organizations can monitor log data from multiple cloud platforms easily, enhancing their operational security.
  • Improve Regulatory Compliance
    Logs for Security aids organizations in meeting compliance requirements by providing archived logs and detailed reporting capabilities.

Intelligent Cloud Operations

Monitoring and troubleshooting with log analytics to detect and resolve issues fast.

  • Detect Issues Fast
    Utilizes advanced log analytics to swiftly identify and address operational issues, ensuring minimal downtime.
  • Track System Performance
    Provides real-time monitoring capabilities that enhance visibility into system health and performance.
  • Resolve Issues Quickly
    Facilitates quick investigation and resolution of issues, minimizing disruption and enhancing productivity.
  • Integrate Seamlessly
    Offers robust integration with various platforms, enhancing versatility and ease of use.

Security Data Lake

The Security Data Lake provides a unified repository for ingesting, storing, and analyzing security data across multiple sources, enhancing threat detection and compliance efforts.

  • Streamline Security Data Management
    Facilitates comprehensive threat detection and incident response by integrating varied data formats into a single platform, ensuring consistent analysis and reporting.
  • Utilize AI-Driven Threat Detection
    Applies advanced algorithms to identify and prioritize threats more effectively, enabling faster response to potential security incidents.
  • Simplify Compliance Management
    Provides automated reporting and insights to ensure adherence to security standards and regulations, reducing the burden on security teams.

Cloud SOAR

Cloud SOAR automates security operations, enabling organizations to improve incident response and threat management efficiently.

  • Reduces Response Time
    Streamlines security operations to significantly lower the time taken to respond to emerging threats.
  • Improves Security Posture
    Utilizes advanced algorithms to detect threats before they impact the organization, enhancing overall security posture.
  • Enhances Tool Efficiency
    Ensures that users can leverage existing tools without disruptions, increasing overall operational effectiveness.
  • Supports Quick Decisions
    Real-time visibility into security metrics allows for informed decision-making and timely responses.

LLM Observability

LLM Observability use case for observability.

  • Enable Comprehensive Monitoring
    Provides deep insights and analytics into the performance and behavior of large language models, ensuring optimal functioning and troubleshooting capabilities.
  • Deliver Instant Insights
    Facilitates immediate access to analytics, allowing teams to respond proactively to performance issues and user behaviors.
  • Identify Problems Early
    Utilizes AI algorithms for early identification of incidents, minimizing downtime and enhancing user experience.
  • Visualize Performance Metrics
    Offers flexible dashboards that visualize relevant performance metrics for large language models, simplifying data interpretation.

Log Management

Unlock cloud security with powerful log visibility. Sumo Logic's Log Management provides robust tools for monitoring, troubleshooting, and automating the management of logs across security, observability, and operational intelligence. It offers real-time visibility and alerting over complex distributed systems, assisting teams in incident response, performance optimization, and governance.

  • Streamline Log Analysis
    Centralized log storage enables quick access to data, enhancing the efficiency of troubleshooting and operational insights.
  • Catch Anomalies Instantly
    Real-time monitoring allows teams to detect issues as they arise, ensuring proactive incident management.
  • Enhance Decision-making
    Automated analysis accelerates incident response by providing actionable insights based on historical data and patterns.
  • Simplify Audits
    Automated compliance reporting supports organizations in adhering to regulations, reducing the burden of audit preparation.

Infrastructure Monitoring

Infrastructure monitoring.

  • Detect Issues Quickly
    Real-time monitoring capabilities ensure that organizations can identify and address infrastructure issues swiftly, minimizing downtime and optimizing performance.
  • Generate Valuable Insights
    Leverage AI to analyze vast amounts of data and generate insights about the state and performance of infrastructure, enhancing decision-making and operational efficiency.
  • Receive Instant Alerts
    Stay ahead of potential issues with automated notifications that alert teams to anomalies and performance degradations in real-time.
  • Customize Your View
    Build and customize dashboards tailored to specific infrastructure metrics and KPIs, providing valuable insights at a glance.

Application Observability

Application observability enables organizations to monitor, troubleshoot, and optimize application performance and reliability across dynamic environments. With comprehensive insights from logs, metrics, and traces, users can detect issues, enhance performance, and ensure robust application functionality.

  • Ensure Instant Issue Detection
    Real-time monitoring enables immediate identification of performance bottlenecks and downtime, allowing proactive issue resolution.
  • Achieve Complete Insight
    Comprehensive visibility provides the necessary data to analyze trends, cut down response times, and improve service quality.
  • Enhance Predictive Analytics
    Machine learning enhances the ability to anticipate performance disruptions, allowing for timely interventions and strategic improvements.
  • Consolidate Data Sources
    Multi-source integration ensures that users gather relevant data across all application dimensions, enriching insights and enabling effective decision-making.

AWS Monitoring

Monitor and optimize your AWS workloads with advanced analytics, seamless integrations, and real-time insights. Sumo Logic’s AWS Monitoring solution provides comprehensive visibility into your cloud environment, enabling efficient troubleshooting and enhancing operational performance.

  • Ensure High Availability
    Continuously monitor AWS resources to ensure high availability and performance, enabling proactive management of cloud infrastructure.
  • Detect Anomalies Quickly
    Utilize powerful log analytics to detect anomalies and troubleshoot issues swiftly, enhancing overall operational efficiency.
  • Achieve Comprehensive Visibility
    Integrate with a variety of AWS services and third-party applications to achieve a more comprehensive and unified view of your cloud operations.

Kubernetes Monitoring

Kubernetes Monitoring provides real-time insights into the health and performance of Kubernetes clusters and workloads. It enables users to effectively troubleshoot issues and optimize their cloud-native applications.

  • Detect Issues Early
    Early detection and resolution of issues within Kubernetes clusters prevent downtime and enhance availability.
  • Optimize Application Performance
    Optimize workloads by analyzing resource utilization and performance metrics to improve application efficiency.
  • Enhance Debugging Capabilities
    Log analysis allows developers to quickly debug issues by correlating logs with performance metrics.
  • Stay Informed on System Health
    Receive timely alerts on cluster performance, enabling proactive management of potential issues.
  • Streamline Development Processes
    Integrate Kubernetes monitoring with your CI/CD pipelines to ensure the health of deployments through automated insights.

References

Methodology and sourcing behind the figures shown above.

Observability and application performance monitoring

Synthesis of multiple industry reports: 2024–2026 reported/estimates for the APM/observability space range from about $6.5B (2024) to $14.3B (2026), with vendor/research CAGRs spanning roughly 11%–15%. Taking a midpoint across these contemporaneous sources yields an estimated current market size of about $11B and a representative growth potential of ~12.5% CAGR.

Cloud-native infrastructure monitoring

Estimate reconciles multiple market reports in the provided results. IT infrastructure monitoring is ~US$6.9B (2025) while broader observability/platforms for cloud-native systems is ~US$28.5B (2025). Cloud-native software tooling is estimated at US$15.06B (2026) and cloud infrastructure services form a much larger $158.9B (2025) backdrop. Cloud-native infrastructure monitoring is a focused subset of observability and cloud-native software; weighting these sources (observability dominance for cloud-native monitoring, plus cloud share within IT monitoring) yields an estimated market size ~US$11.5B (mid-2020s) and a growth potential (CAGR) around 16.5%, between the higher-growth observability/cloud-native forecasts and more conservative IT-monitoring forecasts.

Security information and event management

Estimated current market size anchored to reported 2025 SIEM market figures (Market Research Future: $7.789B in 2025). Growth potential reflects published CAGR estimates across sources (MarketsandMarkets 10.3%, MRFR 13.0%, Zion 5.82%); I selected 10.3% as a representative mid-to-high growth expectation given consensus around strong cloud, AI, and managed-SOC drivers.

Security orchestration and automation

Synthesis of multiple market reports in the provided search results. KBV reports a 2024 market size of USD 1.80B with 16.1% CAGR; GM Insights and SNSInsider report 2023 sizes of USD 1.6B and USD 1.5B respectively with ~15%+ CAGRs to 2032; MarketResearchFuture gives a higher 2024 estimate ($2.75B) with a lower 10.5% CAGR. I selected USD 1.8B (2024) as a representative current-size estimate and a 15% CAGR as a consensus growth-rate (midpoint of the clustered 15–16% estimates, acknowledging one lower estimate).

AI observability and monitoring

Search results show varying estimates for closely related markets (data observability and AI-in-observability). Reported 2024–2025 market sizes range ~USD 1.1B–2.9B (data/AI observability definitions differ). I select ~USD 1.9B (circa 2024–2025) as a midpoint representative for the broader AI observability & monitoring segment. Reported CAGRs range from ~11.6% to 22.5%; a conservative midpoint CAGR of 15% reflects consensus between data-observability forecasts (~11–15%) and higher AI-observability projections (~22%). Estimates principally use the provided market reports and synthesize scope differences between “data observability” and broader “AI observability.”

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