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Top 1 AIOps Tools Companies $100M+ Revenue (August 2026)

As of August 2026, Latka tracks 1 AIOps tools companies with $100M+ in annual revenue. They have combined revenues of $100.3M and employ 593 people. They have raised $235.2M and serve 1K customers combined.

Every company below sells AIOps tools to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What AIOps Tools Companies do

AIOps tools utilize artificial intelligence to enhance IT operations by automating and optimizing workflows. These tools analyze vast amounts of data from various IT systems to generate insights, enabling organizations to identify patterns, predict issues, and respond to incidents more effectively. Primary use cases include anomaly detection, performance monitoring, root cause analysis, and incident management, helping organizations to maintain optimal system performance and user experience. The typical features of AIOps tools include machine learning capabilities, data ingestion from multiple sources, real-time analytics, and advanced visualization. End-users of AIOps span various roles, predominantly within IT operations and DevOps teams, but also extend to IT management and business analysts who rely on insights for decision-making. As IT environments become increasingly complex, AIOps is becoming a critical component for organizations aiming to leverage data-driven approaches to manage their IT operations efficiently.

Companies
1
Revenue
$100.3M
Funding
$235.2M
Employees
593

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Top AIOps Tools Companies $100M+ Revenue

Showing 1 of 1 companies ranked by annual revenue.

1ScienceLogic logo
ScienceLogic

Reston, Virginia, United States

ScienceLogic is the global leader in hybrid IT service assurance. Over 50,000 global service providers, enterprises, and government organizations rely on ScienceLogic to significantly enhance IT efficiency, optimize operations, and ensure business continuity. ScienceLogic is the first monitoring solution to provide a comprehensive, real-time view of all IT components, whether they reside in a public cloud environment or on-premises. With hundreds of packaged management apps and custom automation capabilities, we deliver the global scale, resiliency, and automation needed to simplify the constantly evolving task of managing IT infrastructure, applications, and services.

Revenue
$100.3M
Customers
1K
Year founded
2003
Funding
$235.2M
Team size
593

Frequently asked questions about AIOps Tools Companies $100M+ Revenue

How many AIOps tools companies with $100M+ in annual revenue are there?

Latka tracks 1 AIOps tools companies with $100M+ in annual revenue. Together they generate $100.3M in annual revenue and employ 593 people.

Which AIOps tools company with $100M+ in annual revenue is the largest?

ScienceLogic is the largest, with $100.3M in annual revenue, founded in 2003.

How much revenue does a typical AIOps tools company with $100M+ in annual revenue make?

The average AIOps tools company in this list makes $100.3M a year, across 1 companies with reported revenue. They serve 1K customers combined.

Who are the leading AIOps tools vendors with $100M+ in annual revenue?

Ranked by annual revenue, the leaders are ScienceLogic.

How much funding have AIOps tools companies with $100M+ in annual revenue raised?

The 1 AIOps tools companies with $100M+ in annual revenue tracked here have raised $235.2M in disclosed funding between them.

Related IT Infrastructure Software categories

All IT Infrastructure Software SaaS categoriesEvery category we track inside IT Infrastructure Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from AIOps to everything else.

Inclusion Criteria

- Must leverage artificial intelligence and machine learning to analyze IT data - Should provide functionalities for anomaly detection and performance monitoring - Must integrate data from multiple sources to generate actionable insights - Should facilitate incident management through automated root cause analysis - Not just alerting; must also enable proactive problem solving and predictive maintenance - Must support real-time analytics to assist with immediate decision-making - Should offer visualization tools for better data representation and understanding