As of today, most companies in the world still use big data with big costs to account for all of their testing and production value. Companies like Amazon and Oracle rely on large datasets which while are sufficient, aren't able to be used as much after a few years due to changing standards in the world.
By utilizing artificially generated data, these companies would be able to mold their data so it can be adaptable with the next big trend. Thus, be applicable in years to come rather than have to continually spend a lot on R&D and production testing operations to yield very similar results to its synthetic data alternative.
Financial analytics, artificial intelligence, and machine learning are just a few of the benefits you may reap from switching over to a synthetic data alternative, and with the technological advances being made in our society, getting ahead of the curve is the key to being the next big thing in the industry.
When expanding out and scaling a company, expenses don't have to expand with you; minimizing costs on data and production testing is possible in several ways, but none better than making that switch to synthetic data.