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Top 39 AIOps Tools SaaS Companies in May 2026

As of May 2026, there are 39 SaaS companies in AIOps Tools. They have combined revenues of $338.3M and employ 2.1K people. They have raised $411.9M and serve 3.8K customers combined.

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
39
Revenue
$338.3M
Funding
$411.9M
Employees
2.1K

Filters

Sorting: Highest -> Lowest

Filters

Top AIOps Tools Companies

Showing 10 of 4 companies ranked by annual revenue.

1
ControlUp

Santa Clara, California, United States

VDI and server virtualization management solution

Revenue
$82.8M
Customers
1.5K
Year founded
2012
Funding
$140.2M
Team size
381
Growth
34.49%
2
Itential

Atlanta, GA, United States

Itential builds world-class automation and orchestration software that accelerates the shift to software-driven, agile network operations. Trusted by Fortune 500 Financial Services, Communications Service Providers, the US Federal Government, and enterprises worldwide, Itential Cloud empowers organizations to deliver services faster, streamline network and infrastructure management, and ensure security through standardized configuration and compliance across today’s hybrid cloud networks. Itential Cloud offers powerful services tailored to modern network needs. The Itential Automation Service standardizes automation execution across infrastructure, providing secure, self-service access to teams, improving operational efficiency, and reducing time to value. Additionally, Itential’s orchestration capabilities enable organizations to build integrated workflows across a diverse ecosystem of tools and services, enabling IT and application teams with self-service access to network services and transforming how organizations manage distributed infrastructure. To learn more about how Itential is transforming network operations, visit itential.com.

Revenue
$18.4M
Customers
-
Year founded
2014
Funding
-
Team size
167
Growth
-
3
Quali

Austin, Texas, United States

Quali provides platform engineering tools for AI-driven infrastructure automation and management, self-service provisioning, and continuous cloud governance. Technology and engineering teams use Quali's tools to simplify complexity, accelerate productivity, and improve efficiency in cloud operations.

Revenue
$15.2M
Customers
-
Year founded
2007
Funding
-
Team size
138
Growth
-
4
ElastiFlow

Oakland, California, United States

Developer of a network performance and security platform designed to offer comprehensive network traffic visibility and analysis. ElastiFlow provides network observability and security analytics solutions to enterprises.

Revenue
$10.3M
Customers
-
Year founded
2020
Funding
-
Team size
25
Growth
-

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