The primary reason for using SVM in toxicology is its ability to handle high-dimensional data, which is common in toxicological studies. SVMs are effective in processing large datasets and identifying patterns that might not be apparent using traditional statistical methods. This capability is essential for toxicity classification and predicting adverse effects of new compounds.