Machine Data: Market and Analytics
With Giacomo Calzolari and Riccardo Rovatti
Conditionally accepted at Management ScienceThis study offers a theoretical analysis of the Machine Data (MD) market, emphasizing its growing importance over personal data. It examines challenges like data fragmentation, unclear property rights, and the public good nature of MD. The analysis focuses on machine users generating data and aggregators providing MD analytics, identifying key properties—Scale, Scope, and Synergy—that influence the value of MD. The study explores various market scenarios, uncovering inefficiencies and market failures, and suggests the need for targeted policy interventions.