Edge AI hardware market has significant potential growth opportunities in the near future. An edge device is a hardware that controls the flow of data between different networks. Edge device depends on functions with different roles and essentially serve as network entry points. The different functions of edge devices are filtering, translation, routing, transmission, processing, storage of data passing between networks and monitoring and the devices are worn by enterprises and service providers. Artificial intelligence (AI) is a computer-enabled robotic system to process information and produces an outcome in a systematic manner, likely, to the thought process of humans in decision making, problem-solving and learning. Rising demand for smart devices and increasing adoption of edge computing in IoT are the factors increasing the growth of Edge AI hardware market.
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Other factors encouraging the growth of the market include increasing demand for smart devices and the rising adoption of edge computing in IoT. A significant rise in the demand for smart home devices, such as Alexa and Apple Siri have been reported over the years. These are voice analytics platforms that support the adoption of AI chips. Amazon has started designing custom AI chip that will power the future Echo devices. This will improve the quality and response time of its Alexa voice assistant. Alexa is built on NLP that supports the process of converting speech into sounds, words, and ideas. Since the first-generation Echo, customers have purchased more than 100 million Alexa-enabled devices. In 2017, Amazon has improved Alexa’s ability to understand requests and answer questions by more than 20%, while adding billions of facts to make Alexa more knowledgeable than ever, as per Amazon Web Services Inc. As a result, the demand for smart home devices is providing remarkable growth opportunities for the market.
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The Edge AI hardware market is highly fragmented due to the presence of several market players that are significantly operating across the globe. The key market players include NVIDIA Corp., Huawei Technologies Co. Ltd., Qualcomm Technologies, Inc., and Wave Computing, Inc. Qualcomm is one of the leading players for the significant growth of the Edge AI hardware industry that are focused on adopting organic strategies that include partnership & collaboration and product launch. For instance, in 2019, the company introduces the new series the Qualcomm QCS400 series of audio SoCs (System-on-Chips) specially designed to support the voice UI enabled smart home and ecosystem. These series are based on high performance and low power system architecture and help customer to meet the growing demand for soundbars, smarter speakers, smart home assistants, and audiovisual receivers.
Global Edge AI Hardware Market- Segmentation
By End-User
- Healthcare
- Consumer Electronics
- IT & Telecom
- Automotive & Transportation
- Government
- Others (Media & Entertainment and Smart Home)
By Device Type
- Smartphones
- Cameras
- Wearables
- Automobile
- Smart Speakers
- Others (Robots and Smart Mirror)
Global Edge AI Hardware Market- Regions
North America
- United States
- Canada
Europe
- Germany
- United Kingdom
- France
- Spain
- Italy
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
Rest of the World
- Latin America
- Middle East & Africa
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