Mesoscale convective systems (MCSs) can sometimes occur in clustered form as they develop close in time and space. Our previous study over the United States found that these clustered MCSs can collectively produce substantial amounts of precipitation over contiguous regions within a short time and therefore can cause severe flooding. Their significant hydrologic and socioeconomic impacts motivate us to extend the analysis over the globe using a global MCS dataset. We first identify seven land hotspots for clustered MCSs over the globe: central US, Amazon, Argentina, Sahel, Congo, India and Maritime Continents. Focusing on these seven land hotspots, we find that clustered MCSs are generally characterized by longer duration, larger precipitation area and greater rain rate, which collectively contribute to significantly greater rainfall per unit area compared with non-clustered MCSs. This is particularly evident for the Argentina region. Consequently, clustered MCSs in Argentina are responsible for the largest fraction of extreme precipitation in comparison with other regions, while all seven regions show increasing contributions from clustered MCSs to more extreme precipitation. The clustered MCSs we identified and their associated precipitation impacts would guide us to select extreme events over different continents for performing simulations to understand the moisture contribution from remote versus local sources to the extreme events.