Apr 26 2019
The "Edge AI Hardware Market by Device (Smartphones, Cameras, Robots, Automobile, Smart Speakers, Wearables, and Smart Mirror), Processor (CPU, GPU, ASIC and Others), Power Consumption, Process, End User Industry, and Region - Global Forecast to 2024" report has been added to ResearchAndMarkets.com's offering.
The edge AI hardware market registered a shipment of 423.1 million units in 2018 and is likely to reach 1.56 billion units by 2024, at a CAGR of 20.64% during the forecast period.
Artificial intelligence is the ability of a computer-enabled robotic system to process information and produce outcomes in a manner similar to the thought process of humans in learning, decision-making, and problem-solving. By extension, the goal of systems is to develop systems capable of tackling complex problems in ways similar to human logic and reasoning.
Artificial intelligence (AI) is shifting from cloud to edge devices. Increase in computing power, along with efficient hardware and robust software, drives machine learning in edge devices. Edge computing techniques are used to move data processing close to the source of data, rather than limiting the processing power in cloud/data centers. The combination of IoT and edge computing can reduce latencies and increase the penetration of AI in industries.
Major drivers for the market's growth are growing demand for low latency and real-time processing on edge devices and emergence of AI coprocessors for edge computing.
Further, underlying opportunities for the edge AI hardware market include growing demand for edge computing in IoT and dedicated AI processors for on-device image analytics. Major restraints for the market are limited on-device training and limited number of AI experts. Power consumption and size constraint pose major challenges to the edge AI hardware market.