Adaptive AI refers to a class of artificial intelligence systems that do not remain static after deployment; Instead, they continuously learn from new data, adjust their internal logic or models, and evolve over time to respond to changing circumstances. Unlike traditional AI which works on fixed rules or offline trained models adaptive AI leverages techniques such as machine learning, deep learning, reinforcement learning, and sometimes natural language processing to enable dynamic, self-improving behavior. In terms of market scope, adaptive AI solutions span both platforms (core AI frameworks, model libraries, pipelines) and services (AI deployment, custom implementation, ongoing model maintenance).