2021 saw a massive roll-out of conversational AI technologies fueled by increased demand by users for dialogues that were more intelligent and personalized. Technology providers responded in kind with solutions targeted to meet this demand.
This Research Note identifies four key trends that are driving the conversational AI market in 2022.

Introduction

Conversational AI makes use of natural language processing (NLP) technologies to enable computers and humans to communicate by text or speech in a way that seems natural to humans. The last several years have seen significant improvements in AI software algorithms to the point where they can now much more accurately identify the true intents within naturally conversational human speech. This, combined with extensive improvements in graphics processing units (GPUs), neural processing units (NPUs), tensor processing units (TPUs), and field programmable gate-arrays (FPGAs), all of which are tailored to run AI algorithms much faster than traditional CPUs, have paved the way to deliver these improved AI algorithms in real-time.