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Top 4 Service Mesh Tools SaaS Companies in May 2026

As of May 2026, there are 4 SaaS companies in Service Mesh Tools. They have combined revenues of $159M and employ 1K people. They have raised $384.3M and serve 150 customers combined.

Service Mesh Tools are specialized software solutions designed to manage the communication between microservices within distributed applications. They provide a dedicated infrastructure layer that enhances observability, security, and reliability across complex network interactions. By facilitating service discovery, load balancing, and traffic management, these tools are essential for organizations employing microservices architecture to improve application performance and resilience. Common use cases for service mesh tools include managing secure service-to-service communications, enabling consistent load balancing and routing mechanisms, and providing monitoring capabilities that help teams better understand their application behavior. The primary users of these tools are typically IT and DevOps teams seeking to enhance the functionality and stability of their microservices environments without incurring excessive overhead. As organizations increasingly adopt cloud-native technologies, the need for robust solutions to handle inter-service communication becomes critical.

Companies
4
Revenue
$159M
Funding
$384.3M
Employees
1K

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Sorting: Highest -> Lowest

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Top Service Mesh Tools Companies

Showing 10 of 1 companies ranked by annual revenue.

1
Kong Inc

San Francisco, California, United States

Cloud-native API Gateway and API Middleware

Revenue
$146.1M
Customers
130
Year founded
2009
Funding
$344.3M
Team size
879
Growth
46.09%

Inclusion Criteria

- The product must manage service-to-service communication within a microservices architecture. - It must provide features for traffic management, such as load balancing and routing. - The solution must support observability features, like logging and monitoring of service interactions. - It should include security features for protecting service communications, such as encryption and authentication. - The tool must integrate seamlessly with existing orchestration platforms, such as Kubernetes. - Not just focused on network management; must also enhance application resilience and observability.