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.
By working on a number of steps for collecting and analysing market data, this supreme Edge AI Hardware market research report is prepared with the expert team. To build this report, detailed market analysis has been conducted with the inputs from industry experts. It describes various definitions and segmentation or classifications of the industry, applications of the industry and value chain structure. Businesses can obtain a complete knowhow of general market conditions and tendencies with the information and data involved in this Edge AI Hardware report. The foremost areas of market analysis such as market definition, market segmentation, competitive analysis and research methodology are looked upon very vigilantly and precisely throughout the report.
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Moreover, leading factors that include market drivers, market restraints and competitive analysis are studied in this report with the SWOT analysis. This is the most established tool for analysing market info and generating market research report. The report includes numerous market dynamics and estimations of the growth rate and the market value based on market dynamics and growth inducing factors. This Edge AI Hardware report gives a list of key competitors with the requisite specifications and also offers the strategic insights and analysis of the key factors influencing the industry. The report is sure to guide you in achieving great success.
Few of the major competitors currently working in edge AI hardware market are 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.
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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- 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 Content: Global Edge AI Hardware Market
Part 01: Executive Summary
Part 02: Scope Of The Report
Part 03: Global Edge AI Hardware Market Landscape
Part 04: Global Edge AI Hardware Market Sizing
Part 05: Global Edge AI Hardware Market Segmentation By Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers And Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
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- 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
Global Edge AI Hardware Market By Device (Smartphones, Cameras, Robots, Wearables, Smart Speaker, Automotive, Smart Mirror), Processors (CPU, GPU, ASIC, Others), Power Consumption (Less than 1W, 1-3W, 3-5W, 5-10W, More than 10W), Process (Training, Inference), End-User Industry (Consumer Electronics, Smart Home, Automotive & Transportation, Government, Healthcare, Industrial, Aerospace & Defense, Construction, Others), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa)– Industry Trends and Forecast to 2026
Segmentation: Global Edge AI Hardware Market
- Smartphones, Cameras, Robots, Wearables, Smart Speaker, Automotive, Smart Mirror
- 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
- North America, South America, Europe, Asia-Pacific, Middle East and Africa
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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