HolonIQ's bottom-up market sizing methodology is primarily driven by proprietary revenue estimates for education and training providers around the world.

We leverage machine learning to estimate the revenue of companies in each market based on a wide range of variables including but not limited to country headquarters, number and growth of employees, known revenue sizing points from public disclosures, web traffic, threshold roles and hiring, web technology spend and other proprietary signals useful in predicting an organisations revenue.

Each of the 11 Sub Sectors and 50 Clusters are then classified by industry concentration to estimate total revenue from the long the tail of un-identified companies (using the Herfindahl–Hirschman Index score and internal algorithms).

These two methods, individual company revenue estimates combined with industry concentration based 'tail revenue' estimates form our bottom-up methodology.