We study the "percolation" of information of common interest through a large market as agents encounter and reveal information to each other over time. We provide an explicit solution for the dynamics of the cross-sectional distribution of posterior beliefs, and calculate its rate of convergence to a common posterior. We also study how market segmentation, learning through public signals, and endogenous search intensities affect information percolation.