Which Emerging Advancements Are Driving the Growth of Edge Artificial Intelligence Accelerators?

Expanding Internet of Things applications drive growth


Specialized edge artificial intelligence (AI) hardware that enables quick deep learning on-device has become essential due to the rising need for real-time deep learning workloads. Additionally, a cloud-based AI method cannot ensure data privacy, low latency, or offer high bandwidth. As a result, many AI workloads are shifting to the edge, increasing the demand for specialized AI hardware for on-device machine learning inference.

  • Which technological factors are propelling the edge AI accelerator landscape?
  • How are chip manufacturers improving processing speed while reducing power consumption?
  • Which regions pose as promising landscapes for edge AI accelerators?

Quick links

Click here to preview this analysis

Already a member? Click here to access the analysis

Request More Information

Sign up for a complimentary Growth Pipeline Dialog™

A Growth Pipeline Dialog is a structured discussion with our growth experts providing unparalleled market intelligence and proven implementation best practices. This discussion will spark innovative thinking and help generate a pipeline of growth opportunities you can leverage to maximize your company’s future growth potential.