Imagine you wake up one day and go to your office, only to discover everything from monitoring network performance and detecting anomalies to incident remediation and root cause analysis happening automatically and more seamlessly than ever.
Sounds like a dream? This is indeed the dream of every IT professional. Fortunately, you can transform this dream into reality with AIOps.
The right AIOps platform can help you monitor your entire IT infrastructure, identify potential issues before they do any damage, and implement automated incident management. These benefits can substantially improve your IT operations.
No wonder the AIOps market is estimated to reach 99.07 billion by 2030.
But to experience the above benefits and be a part of this growth, you need a reliable AIOps solution. And this article is there to help.
If you’re wondering whether AIOps tools are even necessary, the global AIOps platform market is expected to reach $32.4 Billion by 2028, growing at a rate of 22.7% from 2023-2028.
Nevertheless, let’s start with the basics by understanding AIOps.
In its most basic sense, AIOps is IT Operations powered by Artificial Intelligence (AI) capabilities such as machine learning models and natural language processing for automating, streamlining, and ultimately optimizing IT operations.
AIOps is believed to be the future of IT operations management. And for the right reasons. AIOps helps IT teams respond quickly to slowdowns and outages, and even proactively in some cases, with end-to-end visibility and context.
AIOps platforms consume, aggregate, and normalize massive volumes of data created continuously by multiple sources, including IT components, applications, servers, logs, ticketing platforms, and performance monitoring tools in a tech stack.
This makes it easy for the IT department to analyze data, enabling them to easily identify patterns, detect anomalies, correlate events in log and performance data, and perform reliable root cause analysis.
AIOps platforms analyze all your ITOps data, filter out the noise, and highlight the most critical or abnormal alerts. They identify clear patterns and anomalies in data and alert you about the issues that actually matter, saving you from getting unnecessarily overwhelmed by every single event.
With AIOps platforms, you can analyze vast amounts of historical data and weird data points within a set of data. These outliers or weird data points help IT teams identify and predict damaging events like data breaches and avoid the expensive consequences.
Additionally, AIOps platforms help you trace the source of an issue (a network outage, for example), enabling you to tackle the issue immediately and take the necessary steps to ensure the same problem doesn’t occur again.
By leveraging techniques like data mining, machine learning, statistical modeling, and historical data, AIOps platforms can help you make accurate predictions about future outcomes. This can help IT teams find patterns and identify risks (before they do any damage) and potential opportunities.
AIOps solutions can forecast IT problems before they occur via predictive analytics, as stated above, when fed the right data.
And guess what? AIOps tools can also automate remediation to address these almost instantly, which reduces unplanned downtime.
With unplanned downtime costs reaching $125,000 per hour, this is a must-have for every organization.
Here are the top 10 AIOps tools you must consider in 2025:
Via Moogsoft
Moogsoft has an impressive AIOps platform to help your organization achieve operational excellence. This cloud-based AIOps platform focuses on incident resolution through IT noise reduction and anomaly detection and is powered by machine learning algorithms.
With over 72+ patents, Moogsoft is one of the most innovative solutions that helps you deal with challenges associated with microservice architecture. You can identify issues early, resolve them confidently, save time, and innovate to improve operational performance.
Key Features
Noise Reduction: Moogsoft leverages techniques like adaptive thresholding (dynamically adapts to changing conditions) and alert duplication (merging or removing multiple alerts that refer to the same event) to reduce noise and ensure only the most actionable alerts reach you.
Early Incident Detection: Machine learning and anomaly detection help you detect incidents as they evolve. This allows IT teams to detect incidents before they impact your customers.
Root Cause Identification: Moogsoft automatically links time-series metrics and events with the discovered service details to help you identify the root cause of the issue and which customer or service is impacted.
Automated incident Response: Create automated workflows and route, remediate, and auto-close incidents in 3rd party systems and ensure a clean system of record.
A Single System of Engagement: Bring together all your observability data and integrate all tools in your stack into a single dashboard for the entire incident lifecycle.
Pricing
Pricing is available upon request.
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Splunk Information Technology Service Intelligence (ITSI) is an AIOps platform that brings incident prediction, detection, and resolution, everything into one place.
You can use visual dashboards to continuously track KPIs such as response times, system uptime, error rates, and business metrics and ensure all your SLAs are met. Splunk ITSI allows you to boost the time required to resolve incidents with its event correlation, incident prioritization, and the ability to integrate with ITSM tools.
Additionally, you can leverage advanced analytics like adaptive thresholding and anomaly detection to predict and tackle issues before they impact the operations.
Key Features
Service-Oriented Dashboards: Monitor the most important KPIs and track service availability with performance dashboards for better visibility.
Service Deep Dives: Analyze multiple service metrics in swim lanes and dive deep into raw data with complete accuracy to identify the root cause of the problem.
Predictive Alerting: Leverage ML and historical data to predict potential service degradations. Track every data point to point out unusual events or anomalies instead of relying on averages.
Automated Event Aggregation: Thanks to its out-of-the-box machine learning policies, you can aggregate events from multiple sources into a single framework and trigger alerts as the data enters the system.
KPI-Driven Triage View: Prioritize incidents based on the severity of their impact on your organization.
ITSM Integrations: Trigger on-call response or automated playbooks and service ticketing from your incident review.
Via: BigPanda
BigPanda is an AIOps platform that helps you with AI-powered incident management and event management.
Using BigPanda, IT managers can detect situations proactively and evaluate & prioritize them quickly by transforming noise into relevant information using context. Moreover, you can convert siloed data into situational awareness for quicker investigation and remediation of issues and improve service reliability.
Key Features
AI-Powered Event Management: Transform noise into relevant insights. Lower your costs, boost the speed and productivity of your ITOps teams, and reduce expensive escalations.
AI-Powered Incident Management: Improve the speed of incident response, boost service reliability, and prevent revenue loss.
Event Correlation: AI-powered event correlation to help you reduce alert noise by at least 80%. This way, you get actionable insights to resolve incidents before they turn into a disaster.
Automated Incident Triage: substantially shorten and simplify incident triage with actionable business context for every incident.
Root Cause Analysis: find the root cause of the incident faster with advanced AI and reduce MTTR (mean time to repair) by up to 50%.
Workflow Automation: automate and accelerate incident investigation and resolution. Mobilize teams and experts rapidly with automated ticketing and notifications.
Pricing:
You need to contact the sales team for pricing.
Reviews:
Via Datadog
Datadog offers an AIOps solution for smaller organizations and enterprises that leverages machine learning and generative AI to reduce noise, derive key insights from your data, and automate incident responses. This enables IT managers to detect, diagnose, and resolve incidents quickly.
You can supplement your troubleshooting workflow with contextual insights, accelerate issue remediation with tag-based insights, and identify the exact components within your system linked to a disproportionate number of errors.
Modern Application Performance Monitoring: monitor, troubleshoot, and improve application performance. Enjoy AI-powered code-level distributed tracing from mobile apps and browsers to backend services and databases.
Proactive Issue Detection: detect drops, spikes, and anomalies in your tech stack and forecast trends across important KPIs.
Contextual Insights: Get tag-based insights to identify the exact component that is associated with a large number of errors.
Automated Root Cause Analysis: Get in-depth diagnostics to identify the root cause of issues, analyze their impact on your users and business, and achieve faster triaging and remediation.
Pricing
Free Trial is Available
Pro at $15 Per Host Per Month
Enterprise at $23 Per Host Per Month
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LogicMonitor is an AI-powered hybrid observability platform that uses SaaS-based monitoring to help you proactively improve IT and prevent issues. It’s easy to deploy and offers advanced observability features for infrastructure, apps, and business services.
LogicMonitor offers an AIOps solution: agentic AIOps, which helps you solve problems faster and allows you to focus more on strategy and innovation. Agentic AIOps is better than legacy AIOps because it doesn’t wait for a failure to trigger the response. It anticipates, acts, and adapts before the issues escalate.
Key Features
Agentic AI: Agentic AIOps work independently, learn continuously, and adapt to changing environments. This helps it make real-time and contextual decisions and resolve issues without manual intervention, saving you time.
Cross-Domain Observability: Agentic AIOps unifies unstructured and structured data and supplement it with metadata for a contextual and real-time view of IT systems.
Generative AI: It enables a natural and conversational interface and leverages Retrieval Augmented Generation (RAG) to translate complex system data into clear and actionable insights. You can perform real-time troubleshooting, root cause analysis, and more using these insights.
End-to-End Automation: LogicMonitor allows you to automate the entire incident lifecycle from detection and correlation to remediation. This helps reduce resolution time and minimize overhead.
Pricing
14-Day Free Trial is Available
Infrastructure Monitoring Starts at $22 per Resource per Month
Cloud IaaS Monitoring Starts at $22 per Resource per Month
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Via New Relic
New Relic is a cloud-based observability platform offering an AIOps tool, New Relic AIOps. This tool allows IT managers to leverage machine learning and advanced logic to reduce redundant alerts, quickly prioritize real issues, and immediately identify the root causes.
Key Features
Instant Anomaly Detection: reduce mean time to detect (MTTD) with automated issue detection
Incident Correlation: connect similar incidents into a single issue for easier troubleshooting. Customize automatic incident correlation with New Relic’s decision engine to identify affected services and take action immediately.
Root Cause Analysis: Automatically see why each incident happened and which systems were impacted. Kick guesswork out of the picture and connect deployments, error logs, and more. Create detailed incident reports with root cause and response history.
Collaboration: Collaborate with different teams in real-time via contextual notifications for easier and faster response and resolution.
Pricing
A Free Trial is Available
Other Plans Include Standard, Pro, and Enterprise (you can request the pricing here)
Ratings
Via PagerDuty
PagerDuty has an AIOps platform allows you to automate redundant workflows, reduce noise, accelerate triage, boost visibility, and effectively perform root cause analysis.
Using PagerDuty, IT teams can reduce the number of incidents, resolve the incidents faster, and boost productivity. You can auto-pause incidents that typically resolve themselves.
PagerDuty makes incident management super easy. When an incident occurs, you can get a holistic view of how the incident was previously resolved.
Key Features
Reduce Noisy Incidents: Click a button to reduce incident noise using built-in ML models or your own logic. You can achieve a 98% alert reduction.
Accelerate Triage Time: Discover the service at fault immediately after an incident occurs. You can also determine if the incident had previously occurred and if the change you made is the reason behind the recent incident.
Automate Redundant Tasks: Automate repetitive tasks by creating complex logic within or across services. Leverage event-driven end-to-end automation for faster incident resolution.
Auto Remediation: Resolve well-understood issues automatically, save team capacity, and mitigate risks.
Visualize What Matters: Create a customized dashboard that comprehensively views your operations across services. This helps you transform unorganized data into actionable information.
Pricing:
The AIOps Plan Starts at $699 a Month
Add-On (PagerDuty Advance for Incident Management) Costs $415 a Month
For this Add-On (Workflow Automation), You Need to Request Pricing
Rating:
Via Dynatrace
Dynatrace is a unified observability and security platform that helps you monitor and secure your entire tech stack on a single platform.
Dynatrace’s AIOps platform is powered by the Davis® AI engine that continuously looks for issues and offers precise root cause analysis. This helps IT managers resolve issues before they lead to downtimes and expensive problems.
Key Features
Full-stack Observability: Dynatrace offers you a holistic view of your IT environment, from the infrastructure to the application layer, to enable informed decision-making and seamless issue resolution.
Precise Root Cause Analysis: Dynatrace’s AI engine helps you continuously evaluate billions of dependencies, automatically identify problems, and perform root cause analysis. This helps you identify all issues related to a single root cause, enabling you to fix problems before they impact customer experience.
Log Analytics: Analyze log data (troubleshooting to business processes) with Dynatrace and drive intuitive and intelligent insights for informed decision-making.
Application Security: Dynatrace helps you discover, prioritize, and protect from unknown vulnerabilities in real time.
Business Analytics: Leverage customizable analytics and make better business decisions in real-time.
Pricing
15 Day Free Trial is Available
Pay-As-You-Go Pricing Model (pay only for the service you use)
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Via BMC
BMC is a comprehensive platform that can help you with service management, operations management, workflow orchestration, and mainframe transformation. It offers BMC Helix for AIOps and Observability, enabling you to identify trends and anomalies, prevent future issues, and automate remediation across environments.
BMC Helix allows IT teams to collect and analyze data from multiple sources (events, metrics, logs, tickets, topology, and more), offering you a bird's eye view of the health of the entire infrastructure.
Powered by casual AI, BMC Helix AIOps lets you identify the root cause faster, improve incident analysis, and accelerate resolution with the best action recommendations.
Additionally, you can automate remediation, reducing manual intervention and saving you time.
Key Features
Root Cause Analysis: BMC Helix leverages AI, machine learning, and deep domain knowledge to isolate root causes quickly, enabling IT teams to resolve issues faster.
Intelligent Event Clustering: Helps IT teams cut through noise and focus on critical issues that matter the most.
Best Action Recommendation (BAR): BMC Helix’s patented process automatically suggests optimal resolution steps, boosting the troubleshooting speed.
Comprehensive Integrations: Extensive integrations for seamless data ingestion, allowing IT teams to access valuable insights faster.
Optimize Service Assurance: BMC Helix helps you proactively forecast resource saturation, enabling you to prevent outages before they occur.
Pricing
Contact the Sales Team To Request Pricing
Rating
Via ScienceLogic
The ScienceLogic AI platform is one of the best solutions for easily navigating modern IT complexitieseasily . It evolves with your business, offering intelligent oversight that converts unorganized data into actionable insights.
Key Features
Hybrid Cloud Monitoring: Monitor everything from cloud to on-premise infrastructure. Use relationship mapping to contextualize data and act on it with workflow automation.
Configuration Management: Automate critical tasks across different vendor infrastructures and boost security, compliance, and availability.
AI-powered automated Root Cause Analysis: No more searching through log files. ScienceLogic’s AI-powered automated RCA helps you diagnose issues up to 10X faster, enabling you to act before anything major happens.
IT Workflow Automation: Stop wasting time on mundane manual operations. Automate workflows with AI to improve business agility and reduce mean time to repair (MTTR).
Business Service Management: Align IT processes to strategic business goals, identify business service impact, and reduce risk.
Pricing
Standard Plan Includes Monitoring, Services, and Integration and Costs $5 Per Device Per Month.
Adding IT Workflow Automation Would Cost $6 Per Device Per Month
Automated Root Cause Analysis Costs $6000 Per Month (150GB/Day)
For Skylar Analytics, Contact the Sales Team
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Consider these pointers to make an informed decision:
Assess Your IT Needs
Are you a small, medium, or enterprise-level business? What volume of data do you need to process? What specific compliance requirements or regulations do you follow?
Answering these questions will help you assess your IT needs and choose the tool that meets them. After all, an AIOps tool that works for a small organization may not be suitable for an enterprise with massive data streams.
Check for Core Capabilities
While each AIOps solution has its unique features, every tool must have certain core capabilities, including AI-driven alert management, anomaly detection, workflow automation, and predictive analytics. These core features are essential for automating tasks like root cause analysis and proactively preventing potential outages or downtimes.
Evaluate Integration & Compatibility
Look for an AIOps solution that connects seamlessly with your existing ITSM and monitoring tools. This is essential if you want to avoid data silos and get a unified view of your entire infrastructure.
Scalability & Cost Considerations
Go for an AIOps platform that can scale with your business. It should have no problem handling increased data volumes and expanded infrastructure. Additionally, the solution should drive a positive ROI for your business.
What is it you want to achieve? Do you wish to reduce mean-time-to-repair (MTTR) or improve system resilience?
Answering these questions will help you identify the KPIs you must track, such as mean-time-to-repair (MTTR), mean-time-to-detect (MTTD), system uptime, cost reduction, etc.
With clear objectives in mind, you can choose the right tool.
Say your goal is to improve MTTR. Now, you’ll look for an AIOps tool that specializes in or at least includes the necessary features to track and improve MTTR.
Assess your existing infrastructure and decide to identify the areas that need improvement.
Example:
During your assessment, you find that the data is coming from multiple sources, such as server logs, network devices, and performance metrics, and is not normalized. This fragmentation is causing delays in detecting and diagnosing issues, leading to higher MTTR.
Now, you know which area of your IT infrastructure needs to be optimized, bringing clarity to the equation.
Consider multiple factors, including budget, business needs, scalability, workflow alignment, core features, and customer reviews, to choose and deploy the right AIOps tool.
Create a feedback loop wherein you use end-user feedback or incident tagging by engineers to inform and refine your AIOps platforms.
Say a user reports that a certain alert is consistently irrelevant. Or your engineers tag specific incidents with detailed context. The system can use this feedback to adjust its anomaly detection rules to filter out such noise and send alerts for issues that truly matter.
Over time, the system will become more accurate and send precise alerts, resulting in faster root cause analysis and directly improving IT performance.
You cannot just deploy an AIOps solution and expect results. A successful AIOps deployment requires continuous monitoring and improvement.
Therefore, closely monitor the performance of your AIOps solution, track the KPIs (aligned with your goal), and document what you have learned.
Continuously review and update the system’s rules and algorithms based on the latest data, ever-changing business needs, and feedback from IT managers.
Following this iterative approach is necessary to help you optimize your system’s performance with time.
According to Forrester, tech leaders in 2025 are expected to triple the adoption of AI for IT Operations (AIOPs) platforms for delivering contextually aware data to:
Enhance human judgement
Automatically remediate incidents
Improve Business Outcomes
Not adopting a reliable AIOps solution will force you to face the consequences of the rising technical debt, including but not limited to higher maintenance costs, reduced agility, increased risk of downtimes, security vulnerabilities, and whatnot.
Therefore, review the AIOps solutions in this article and compare your options using our quick guide. Choose the right AIOps solution and stay ahead of the current and upcoming IT challenges.
Short on time? Here’s our hand-picked AIOps tools for 2025:
Dynatrace: It has a strong AI engine and offers unified observability, making it a leader in automated incident resolution. The comprehensive nature of the tool allows for an in-depth analysis of IT infrastructure.
Datadog AIOps: perfect solution for smaller organizations and enterprises looking for robust monitoring and observability capabilities with AI-powered insights.
BigPanda: Powerful AI-powered incident management features highly effective in improving incident response and reducing alert noise.
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