This study proposes a new approach based on the incremental conductance (INC) maximum power point tracking (MPPT) method. The proposed approach controls a single-stage solar water pumping system (SWPS) driven by a brushless DC (BLDC) motor. Its idea is to divide the power-voltage (P-V) curve of a photovoltaic (PV) system into an optimal number of bands or segments and then use INC-MPPT to identify local peaks and select the global peak. It searches within each band to capture the global maximum power point (GMPP) efficiently and accurately track it, rather than continuously scanning the full range. This approach avoids the complexity of a global search and achieves fast and accurate tracking under rapidly changing environmental conditions (e.g., cloud shading). An indirect MPPT control structure is used, employing a proportional-integral-derivative (PID) controller to regulate the motor speed smoothly and adjust the PV voltage level for each MPPT voltage setpoint. The system model was successfully tested under different weather conditions using MATLAB simulations. The BLDC motor operates efficiently, achieving an MPPT efficiency of more than 99%.