CDCL (Conflict-Driven Clause Learning) solvers are advanced algorithms used in solving Boolean satisfiability problems, significantly enhancing efficiency by learning from conflicts to avoid redundant searches. They are pivotal in areas requiring automated reasoning, such as software verification and artificial intelligence, due to their ability to handle complex constraints and large datasets.