Moving AI Processing to the Edge Will Shake Up the Semiconductor Industry

London, United Kingdom - February 2019 -- Revenue from the sale of Artificial Intelligence (AI) chipsets for edge inference and inference training will grow at 65% and 137% respectively between 2018 and 2023, creating massive new potential revenue streams for chip vendors. According to ABI Research, a market-foresight advisory firm providing strategic guidance on the most compelling transformative technologies, in 2018 shipment revenues from edge AI processing was US$1.3 billion, by 2023 this figure will grow to US$23 billion, a massive increase, but one that doesn't necessarily favor current market leaders Intel and NVIDIA. There will be intense competition to capture this revenue between established players and several prominent startups. "Companies are looking to the edge because it allows them to perform AI inference without transferring their data. The act of transferring data is inherently costly and in business-critical use cases where latency and accuracy are key, and constant connectivity is lacking, applications can't be fulfilled. Locating AI inference processing at the edge also means that companies don't' have to share private or sensitive data with cloud providers, something that is problematic in the healthcare and consumer sectors," said Jack Vernon, Industry Analyst at ABI Research.