Global Edge AI Hardware Market – Industry Trends and Forecast to 2026 Key Players Are Qualcomm Technologies, NVIDIA Corporation, Microsoft, Intel, Huawei, SAMSUNG, Apple and others

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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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.

Key Players: Global Edge AI Hardware Market
• 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 and VeriSilicon Limited and others

Segmentation: Global Edge AI Hardware Market
• 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, Surveillance Camera, Logistics Robots, Government, Surveillance Camera, Drones, Healthcare, Medical , Robots, Wearables, Industrial, Industrial Robots, Drones, Cameras, Aerospace & Defense, Service Robots, Construction, Service Robots, Drones, Surveillance Camera, Robots, Wearables, Smart Mirror
• By Geography - North America, South America, Europe, Asia-Pacific, Middle East and Africa

Market Drivers:
• 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

Table of Contents:

Chapter 1: Industry Overview
Chapter 2: Production Market Analysis
Chapter 3: Sales Market Analysis
Chapter 4: Consumption Market Analysis
Chapter 5: Production, Sales and Consumption Market Comparison Analysis
Chapter 6: Major Manufacturers Production and Sales Market Comparison Analysis
Chapter 7: Major Source Analysis
Chapter 8: Major Application Analysis
Chapter 9: Industry Chain Analysis
Chapter 10: Global and Regional Market Forecast
Chapter 11: Major Manufacturers Analysis
Chapter 12: New Project Investment Feasibility Analysis
Chapter 13: Conclusions
Chapter 14: Appendix

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Market Restraints:
• 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

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”.

Key points for analysis

To get a comprehensive overview of the Global Edge AI Hardware Market.
To gain information about the top players in this industry, their product portfolios, and their key strategies.
To gain insights about the major regional insights in which the Global Edge AI Hardware Market is flourishing.
Recent industry trends and developments
Potential and niche segments/regions exhibiting promising growth

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