Reducing time-to-market, reducing development and production costs and increasing acoustic comfort, means less physical prototyping and more predictive modeling. However, predictive acoustic and vibro-acoustic models using FEM and BEM methods have often had limited usefulness, partly due to the long times taken to get the substantial amounts of results needed for engineering design optimization. In this paper, recently-developed technologies are presented which accelerate acoustic solutions. An array of approaches is presented, using finite, infinite and boundary element methods, which are based on re-usable Modal Acoustic Transfer Vectors, Pade methods for rapid frequency-sweep solutions, domain decomposition, finite element iterative solvers and multi-processor 'netsolvers'. These technologies make for timely and effective acoustic predictions, which are also accurate. They tackle a wide range of applications, such as engine acoustics and other machinery noise radiation, interior vehicle acoustics and component vibro-acoustics. They enable the design of practical solutions and are effective in reducing time-to-market and development costs. The fundamentals of various methods, their deployment in software and a selection of practical applications, timing benchmarks and case studies are presented.