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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Moreover, increasing real-time low latency on edge devices and reduction in operation cost and data storing are the factors that drive the market growth. Cloud computing depends on a single data center; edge computing performs with the more distributed networks and excludes the round-trip journey to the cloud and provide the local authority and real-time responsiveness. It keeps the processing closest to the end-user application with devices that includes tablets, smartphones and home security systems that generate and consume the data that reduces latency and rising to real-time automated decision making. The consumer demand for low latency needs for quick music download and streaming videos.

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. The series is designed for innovation and increased processing power, accommodate AI engine that product developer can use to help them to generate new machine learning inferences.

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Current market trends report covered in the market report:
• Advanced and integrated technology is important for the aspect of ensuring the safety and security of citizens. The important factor in the process is surveillance and different devices for edge AI hardware is utilized by the government agencies for the main purpose of surveillance drone and cameras.
• With the increasing population, crime rates, cities, and towns are facing new challenges that result in the need for surveillance camera which would enable prevent incidences such as crime and burglary.

Global Edge AI hardware Market – Segmentation
By Device
• Smartphones
• Cameras
• Wearables
• Automobile
• Smart Speakers
• Others (Robots and Smart Mirror)
By End-User
• Healthcare
• Consumer Electronics
• IT & Telecom
• Automotive & Transportation
• Government
• Others (Media & Entertainment and Smart Home)

Global Edge AI Hardware Market –Segment by region
North America
• US
• Canada
Europe
• Germany
• UK
• France
• Spain
• Italy
• Rest of Europe
Asia-Pacific
• China
• Japan
• India
• Rest of Asia-Pacific
Rest of the World
• Middle East & Africa
• Latin America

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