Support Vector Machines (SVM) is a very popular ML algorithm in academia both because of its often superior predictive accuracy over most other algorithms, but its scope of applications is very narrow in industry because it requires all input features to be numeric which is very rarely the case in most real life ML problems, except in NLP.