Best AIOps Platforms Software of 2026

As an IT professional, you work with dozens of tools that generate huge volumes of complex data in the form of logs, metrics, event records, and more.

With traditional IT operation monitoring techniques, it can take too long for your team to inspect the data from various systems and tools (in hybrid, diversified environments) to identify the root cause of issues. This will eventually affect service delivery and customer user experience.

AIOps is the application of artificial intelligence (AI) for IT operations. It helps IT Ops, DevOps, NetOps, and SecOps teams detect digital service issues faster and resolve them quickly, before it affects business operations and customers. This helps prevent outages, maintain uptime, and provide optimal service delivery.

This software can integrate with IT service management software, issue tracking, IT management software, and application performance management software to aggregate and summarize data from multiple sources in order to improve visibility across business services and applications within the IT infrastructure.

Given the many options available on the market, deciding which software to choose can be confusing. In this buyers guide, we’ve provided all the information you need to make the right purchase decision for your IT needs.

Here’s what we'll cover:

• What is AIOps platform software?

• Common features of AIOps platforms software

• What type of buyer are you?

• Benefits of AIOps platforms

• Key considerations

• Market trends to understand

What is AIOps platform software?

AIOps platforms, known as artificial intelligence for IT operations, is an application that automates and streamlines IT operations by applying artificial intelligence, machine learning, and analytics to big data. AIOps platforms collect massive amounts of IT data (big data) from various tools and devices, correlate data in a contextual form, and identify root causes of problems and recurring issues.

The insights from AIOps platform software can be turned into intelligent actions performed automatically, allowing IT professionals to make decisions faster and more accurately. Such platforms can alert SecOps, NetOps, DevOps and other IT teams of problems and opportunities which they can collectively observe, engage, and act on. This results in continuous improvements and fixes in core IT functions of an organization, which help avoid downtime and improve customer satisfaction.

Reporting/analytics in Splunk Enterprise (Source)

Common features of AIOps platform software

What type of buyer are you?

Before evaluating AIOps platforms, you should assess what kind of buyer you are. The majority of buyers in this market belong to one of these categories:

• IT service providers: IT organizations work on thousands of events that come from siloed systems in order to find issues that are the root cause of their client’s business service failure. Such organizations using legacy IT operations tools and manual processes can take hours to figure out the actual causes. This can result in service degradation, which will ultimately harm their clients who are dependent on their IT resources. AIOps solutions can help IT service providers proactively identify potential issues with the services and technology they deliver and correct them before they become major problems.

• Such buyers should opt for an AIOps platform that provides flexible deployment, third-party integrations, and event and incident management capabilities. These capabilities will allow service providers to understand and predict business performance degradations and manage service level agreements (SLAs) related to business service availability and performance.

• Business with existing IT teams: Buyers in this category belong to large organizations that have dedicated in-house IT teams for service management, performance management, and automation. Such companies often have their data siloed in multiple cloud environments and on-premise data centers. Due to this, the IT teams are often stuck in a loop of incidents and fixes. Using an AIOps platform will help the IT operations team improve risk management, deliver new services faster, and gain actionable reporting.

• These users should look for a fully featured AIOps platform along with monitoring capabilities, automated problem detection, and data ingestion and storage capabilities. The tool should be able to handle multiple data sources such as log data, wire data, text data, metrics, and APIs. These capabilities will help in cost and capacity planning, increase end-to-end visibility of IT operations, and make these teams more efficient.

Benefits of AIOps platforms

Below is a list of benefits you can expect from implementing AIOps platforms:

• Faster digital transformation: AIOps platforms use self-learning algorithms backed by machine learning to identify and remediate any possible incidents in real-time via behavioral and historical data analysis. This provides you with greater control over your IT infrastructure and business applications. By allowing you to make better use of data, AIOps solutions will accelerate the digital transformation of your organization by enabling automation across areas of IT. As a result, it will help you innovate new products and services faster, reduce risks, and increase agility and resilience.

• Time and cost savings: Your IT teams spend a lot of time managing mundane tasks and repetitive incidents that could be automated. Investing in an AIOps platform will help your IT operations teams detect and resolve problems faster, prioritize issues, and improve overall business performance. AI can automatically analyze volumes of data and network to find patterns in order to identify problems, and predict and prevent future ones. This not only saves a huge amount of time but also saves the cost by avoiding downtime and critical IT incidents.

• Data-driven decision-making: AIOps help your organization correlate data from diverse sources and visualize key performance indicators and issues in a dashboard, providing a holistic view of your IT infrastructure. It leverages machine learning techniques in your IT operations for pattern matching, predictive analysis, and historical data analysis. As a result, it delivers data-driven automated responses to incidents, which eliminates human error. This allows your staff to focus more on solving the issues rather than detecting them.

Key considerations

Breadth of functionalities

Some AIOps tools work with any type of data, known as data-agnostic tools, while other AIOps tools work only with certain types of data in specific use cases. These are known as domain-specific tools. It is important to know your business needs before purchasing a software tool.

If your organization has a dedicated IT team for monitoring and developing applications, and your employees work with a variety of data types, it is advisable to purchase a data-agnostic AIOps tool. Such tools can be applied in a wide variety of use cases such as application performance monitoring, maintenance and upgrades of network infrastructure, and analysis of business or marketing data.

But, if your team operates within a specific domain with finite needs, then a data-agnostic AIOps platform might not offer all the dedicated features and functionalities required for your specific domain. You should go for a domain-specific tool that caters to your specific need, such as a tool focused on application performance monitoring, security operations, cloud capacity management, or network infrastructure.

When buying AIOps tools, expect to pay more for platforms that offer more than just the basic features. Tools that only offer domain-specific features will cost less than those of data-agnostic AIOps tools which provide more advanced functionalities.

Market trends to understand

• AIOps solutions are integrating with observability platforms: Observability platforms help examine the internal state of a system by examining the outputs. These tools collect data in the form of logs, metrics, and traces, and connect the dots between them to determine insights. Integrating AIOps with observability platforms will reduce the time to predict and fix problems by automating the analysis of streams of data aggregated by observability tools in real-time, and turning them into actionable insights. By enabling better diagnostics, the technology empowers IT teams to have a deeper understanding of an organization’s operational data and system. Together, they provide insights required for automated issue remediation and zero-disruption operations, which helps DevOps teams to properly focus on the customer experience.

Note: The application selected in this article is an example to show a feature in context and is not intended as an endorsement or recommendation. It has been obtained from sources believed to be reliable at the time of publication.