As of November 2026, Latka tracks 1 service virtualization software companies with $10M–$100M in annual revenue. They have combined revenues of $39.3M and employ 286 people. They have raised $13.5M.
Every company below sells service virtualization software 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.
Service Virtualization Software allows organizations to simulate the behavior of software components that are not available during testing or development. This technology enables development and testing teams to work in parallel, significantly reducing the time taken to deliver applications. It is commonly used in DevOps and Agile environments to improve the efficiency of software development processes by allowing teams to conduct testing without reliance on the actual services or systems.
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Showing 1 of 1 companies ranked by annual revenue.
Monrovia, California, United States
Parasoft helps organizations deliver defect-free software efficiently through service virtualization, API testing, and development testing.
Latka tracks 1 service virtualization software companies with $10M–$100M in annual revenue. Together they generate $39.3M in annual revenue and employ 286 people.
Parasoft Corporation is the largest, with $39.3M in annual revenue, founded in 1987.
The average service virtualization software company in this list makes $39.3M a year, across 1 companies with reported revenue.
Ranked by annual revenue, the leaders are Parasoft Corporation.
The 1 service virtualization software companies with $10M–$100M in annual revenue tracked here have raised $13.5M in disclosed funding between them.
- Must provide capabilities to simulate unavailable or dependent services for development and testing. - Should support integration with various testing tools and frameworks. - Needs to enable parallel testing of services without impacting production environments. - Must allow for the mirroring of complex services to facilitate realistic testing scenarios. - Not just focused on API simulation; must also provide comprehensive analytics and reporting features.