Global Edge AI Hardware Market Analysis Projected $2245.87 Million Growth by 2026 | A report by NVIDIA Corporation, Microsoft, Intel, Huawei, Samsung, Apple and others

Edge AI hardware are the various devices and equipment’s that are used to power and process the various AI based robots and devices. These hardware products inclusive of processors, sensors, cameras, etc. are used to integrate and improve the processing of these AI devices by processing the data in the device itself without the need for cloud systems or cloud computing.
Market Analysis:
Global Edge AI Hardware Market is expected to rise from its initial estimated value of 513.01 million units in 2018 to an estimated value of 2245.87 million units by 2026, registering a CAGR of 20.27% in the forecast period of 2019-2026. This rise in market value can be attributed to the growth in demand of edge computing products and services due to the significant prevalence of IoT in the industries.

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Key Players:
• Videantis GmbH
• Qualcomm Technologies, Inc.
• NVIDIA Corporation
• Premier Farnell Limited
• Micron Technology, Inc.
• Alphabet Inc.
• SecureRF Corporation
• Microsoft
• Xilinx Inc.
• Intel Corporation
• Huawei Technologies Co., Ltd.
• SAMSUNG
• Apple Inc.
• Arm Limited
• MediaTek Inc.
• Applied Brain Research, Inc.
• Horizon Robotics
• Cadence Design Systems, Inc.
• CEVA, Inc.
• Imagination Technologies Limited
• Synopsys, Inc.
• Thinci; General Vision
• Mythic; Adapteva, Inc.
• Tenstorrent Inc
• VeriSilicon Limited and more

Key Developments in the Market:
• In March 2019, NVIDIA Corporation announced the launch of an AI computer termed as “Jetsen Nano”, it is a computing board that will find its application in robots and AI-powered devices, without the need for outside interference for faster processing.
• In March 2019, Alphabet Inc.’s subsidiary Google unveiled a number of new hardware products for AI development. The products include development board, USB accelerator and 5-megapixel camera. These products though haven’t yet been officially announced by the company but were unveiled under a new brand name “Coral”.

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Market Drivers & Restraints:
• Growth in demand for faster and efficient edge hardware devices that require lower processing time in AI applications; this factor is expected to act as a driver for the market growth
• Reduced costing and innovations in products available in the market is expected to drive the market growth
• Lack or dearth of professionals that are skilled or knowledgeable enough on AI and edge computing; this factor is expected to restrain the market growth
• Lack of training or skills for the operations of devices and equipments’ integration in various AI devices; this factor is expected to restrain the market growth

Segmentation:
By Device
• Smartphones
• Cameras
• Robots
• Wearables
• Smart Speaker
• Automotive
• Smart Mirror

By Processors
• Central Processing Unit (CPU)
• Graphics Processing Unit (GPU)
• Application-Specific Integrated Circuit (ASIC)
• Others

By Power Consumption
• Less than 1W
• 1-3W
• 3-5W
• 5-10W
• More than 10W
• By Process
• Training
• Inference
• By End-User Industry

Consumer Electronics
 Smartphones
 Wearables
 Entertainment Robots

Smart Home
 Smart Speaker
 Smart Camera
 Domestic Robots

Automotive & Transportation
 Automobile
 Surveillance Camera
 Logistics Robots

Government
 Surveillance Camera
 Drones

Healthcare
 Medical Robots
 Wearable’s

Industrial
 Industrial Robots
 Drones
 Cameras

Aerospace & Defense
 Service Robots

Construction
 Service Robots
 Drones

Others
 Surveillance Camera
 Robots
 Wearables
 Smart Mirror

Competitive Analysis:
Global edge AI hardware market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of edge AI hardware market for global, Europe, North America, Asia-Pacific and South America.

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This release was published on openPR.