Gartner synthetic test data report

Synthetic test data improves software quality

Read the Gartner synthetic test data report tl learn all about synthetic data generation methods, best practices, strategies, and tools – and how to generate synthetic data for various use cases, such as software testing and generative AI (GenAI) model training.

Fill this out and we'll email you the report

Gartner synthetic test data report highlights:

Leading use cases for a test data generator
Mock data generation methods and techniques
Top AI data generation tools: K2view, Gretel, Mostly AI, Tonic.ai, IBM, Genrocket, Informatica, and more
When and how to create synthetic data to solve specific test data management challenges

Vital market research and analysis

Organizations developing net new software capabilities or restricted from using production data for testing and analytics struggle or are unable to run the complete set of validations in the lower development and testing environments. Avoid problems associated with using production data in development and testing environments by employing synthetic data generation technologies.

Get the Gartner Report

K2view Powers Innovative Companies

Platform
Solutions
Architecture
eBooks
Company
- About
- Contact
- Customers
- News
- Resources
- Partners
- Academy
- Careers
- Sign in
- Support