The clinical burden caused by influenza can be mitigated by the prophylactic use of seasonal influenza vaccines. Their immunogen composition is revised biannually to optimally match the antigenic drift of the hemagglutinin of circulating influenza virus strains. Antibodies directed against the influenza neuraminidase also correlate with protection against influenza, yet the antigenic evolution of influenza neuraminidase remains underexplored. To evaluate the antigenic diversity of N1 neuraminidase, we generated a panel of immune sera directed against 17 N1 neuraminidases derived from human H1N1 strains that were isolated between 2009 and 2020 and determined its neuraminidase inhibition titers against a panel of 15 HxN1 viruses. The resulting neuraminidase inhibition pattern revealed two antigenic groups that circulated in this period. A machine learning method identified K432E and I321V as key determinants of N1 neuraminidase antigenicity.