Signal Processing Steadily Displaces Manual Sonar Classification
Navies across major North American and East Asian markets are increasingly specifying AI-driven signal processing software positioned against legacy manual classification workflows, responding to demand for automated target detection that speeds fleet modernization without maintaining separate manual sonar operator teams at scale. This shift has required suppliers to invest in machine learning model development and acoustic classification testing capability, a process that can take sixteen to twenty-two months per platform generation given required qualification certification. Navies are increasingly treating signal processing capability as a competitive prerequisite for new fleet modernization programme launches, accelerating the transition considerably across the industry.
Market Impact: Adds 10 percent fleet-modernization-driven volume








