Interesting results of the latest KDNuggets poll on data mining methods. Interestingly, Decision Trees won the competition, followed by Clustering and Regression.
A couple of observations...
1) ensembles (Bagging and Boosting) went up. The sample size is too small to make any inferences, but this will be interesting to track over time.
2) SVMs and Neural Networks are at about the same level, though SVM usage dropped from 2006. I do wonder if SVMs will surpass neural networks as the "complex way to model accurately", but the verdict is still out on this.