Edge AI Hardware Market by Device (Smartphones, Cameras, Robots, Automobile, Smart Speakers, Wearables, and Smart Mirror), Processor (CPU, GPU, ASIC and Others – Global Forecast to 2024 – Cole Reports – Cole of Duty
According to Market Study Report, Edge AI Hardware Market provides a comprehensive analysis of the Edge AI Hardware Market segments, including their dynamics, size, growth, regulatory requirements, competitive landscape, technological trends and emerging opportunities of global industry. This report also provides market landscape and market share information in the Edge AI Hardware Market. An exclusive data offered in this report is collected by research and industry experts team.
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The Edge AI Hardware Market is expected to register a shipment of 610 Million units in 2019 and is likely to reach 1559.3 Million units by 2024, at a CAGR of 20.64% during the forecast period. This report spread across 213 pages, profiling 20 companies and supported with 94 tables and 53 figures are now available in this research.
Top Companies Profiled in the Edge AI Hardware Market:
- Intel Corporation
- NVIDIA Corporation
- Samsung Electronics
- Micron Technology
- Applied Brain Research
- Horizon Robotics
- Imagination Technologies
- Synopsys Inc
- Securerf Corporation
“Market for flow batteries is expected to grow at the highest CAGR between 2018 and 2023”
The battery energy storage system market for flow batteries is expected to grow at the highest CAGR between 2018 and 2023. The redox, hybrid, and membrane-less batteries are the different classes of flow batteries. A new generation of redox (i.e., reduction–oxidation) flow batteries in battery energy storage system are much better suited for medium- and large-scale applications where heavy use, long-term cycling, durability, and safety are paramount.
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“In Processors, Asic Is Expected To Grow At The Highest Cagr During The Forecast Period In Edge Ai Hardware Market”
ASIC offers high speed as it is dedicated to performing one particular application only. ASIC offers a user-specific customized solution. An ASIC is dedicated to performing fixed operations extremely fast as the entire chip’s logic area is dedicated to a set of narrow functions. Visual processing unit (VPU) is a class of processors that accelerates machine vision tasks. Image processing unit (IPU) is specially designed to support video and graphics processing functions, and interface with video and image sensors and displays.
“In Term Of Processor Type, The Market For Cpu Is Expected To Hold The Largest Market Share By 2024 In The Edge Ai Hardware Market”
The edge AI hardware market for CPU is expected to witness a shipment of 589 million units in 2019 and is likely to reach 1380million units by 2024, at a higher CAGR during the forecast period. An MPU contains all, or most of, the CPU functions and is the “engine” that goes into motion when the computer is on. CPU is the most commonly used processor for on-device inference in smartphones, smart speakers, and wearables.
“In the Edge Ai Hardware Market, Apac Is Expected To Grow At The Highest Cagr During The Forecast Period”
In APAC, China is the largest market for artificial intelligence, followed by Japan; this makes the region an attractive market for edge AI hardware applications. The presence of a large number of manufacturing companies, along with the strong presence of automobile and electronics and semiconductor companies, in China and Japan is driving the growth of the edge AI hardware market in APAC. Applications such as smartphones, industrial robots, and automotive have huge potential in APAC.
Breakdown of primary participants’ profile:
- By Company Type: Tier 1 =30%, Tier 2 =30%, and Tier 3 =40%
- By Designation: C-Level Executives =45%, Directors=30%, and Others =25%
- By Region: North America = 30%, Europe = 40%, APAC =25%, and RoW =5%
Competitive Landscape of Edge AI Hardware Market:
2 Ranking Analysis of Key Players in Edge AI Hardware Market
3 Competitive Situations and Trends
3.1 Product Launches
3.2 Agreements, Partnerships, Collaborations, & Contracts
4 Competitive Leadership Mapping
4.1 Visionary Leaders
4.2 Dynamic Differentiators
4.4 Emerging Companies
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Reason to access this report:
The report will help the leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the Edge AI hardware market and sub segments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and to plan suitable go-to-market strategies.
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