Background: As the use of in vitro fertilization (IVF) continues to increase worldwide, growing attention has been directed toward the long-term health and developmental outcomes of IVF-conceived children. However, findings regarding early growth and neurodevelopment remain inconsistent and may be influenced by parental and perinatal factors. Objective: To compare anthropometric development and neurodevelopmental outcomes in IVF- and spontaneously conceived children up to 2 years of age. Methods: Anthropometric parameters, including weight, height, body mass index (BMI), head and waist circumference, and body fat percentage, were assessed at birth and at 24 months of age using standardized anthropometric measurements and bioelectrical impedance analysis. Neurodevelopment was evaluated using the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III). Parental and perinatal characteristics were obtained using questionnaires and medical records. Results: A total of 26 IVF- and 23 spontaneously conceived children were included in the analyses. At birth, IVF-conceived infants had a smaller head circumference than spontaneously conceived infants (33.35 ± 1.92 vs. 34.26 ± 1.69 cm, p = 0.04), whereas no significant differences were observed in other anthropometric parameters. At 24 months of age, IVF-conceived children had higher BMI (15.84 ± 2.07 vs. 14.75 ± 1.29 kg/m², p = 0.03), waist circumference (49.09 ± 5.45 vs. 46.28 ± 2.69 cm, p = 0.02), and head circumference (49.27 ± 1.52 vs. 48.31 ± 2.11 cm, p = 0.04) than spontaneously conceived children. Standardized growth measures (weight-, height-, and BMI-for-age z-scores) were comparable between groups. No significant differences were observed in cognitive, language, or motor composite scores on the Bayley-III between groups. Conclusions: Neurodevelopmental outcomes at 2 years of age do not differ between IVF-conceived and spontaneously conceived children. Small but significant differences in anthropometric measures were observed, suggesting early variations in growth trajectories that may be relevant for later cardiometabolic risk. Future studies with larger sample sizes are needed to increase statistical power.