The global edge artificial intelligence chips market size is expected to reach USD 9.5 billion by 2027, according to a new report by Grand View Research, Inc. The market is anticipated to register a CAGR of 21.3% from 2020 to 2027. Semiconductor companies are experiencing high demand for their existing chips with hardware serving as a differentiator in AI. Also, these companies are developing workload-specific (training and inference) AI accelerators. For instance, Apple has implemented a neural engine in its A11 Bionic chip’s processor to speed-up the third-party applications. The market is growing rapidly with the rising implementations of edge-based AI in smartphones and autonomous vehicles.
Demand
for more efficient processors due to increasing data complexity and need for
local data processing is encouraging the semiconductors industry to adopt
edge-based artificial intelligence chips. With the rise in AI applications
ranging from consumer devices to enterprise devices, adoption of edge
AI-supported chips has been noted considerably. The market for consumer devices
is much larger than that for enterprise devices because the enterprise
edge-based AI chip market is newer. For instance, in July 2017, the first
enterprise edge AI chip, named Neural Compute Stick (NCS), was introduced by
the Intel Corporation.
Edge
computing has been proven as the best choice for the inference function. Since
the AI algorithm handles less amount of data and is required to generate
responses more rapidly with inference, therefore, artificial intelligence at
the edge is used for most data inference use-cases. For instance, self-driving
cars and medical applications cannot transmit images to the cloud for
processing as they require responses in a shorter period. With the rise in IoT
devices, such as connected cars, demand for edge AI chips is anticipated to
grow.
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Edge Artificial
Intelligence Chips Market Report Highlights
- Considerable
surge in connected cars and other IoT devices will create wide potential
for manufacturers in market
- Prominent
companies, such as Alphabet Inc., are significantly involved in the
integration of new AI capabilities, such as natural language dialogue,
storytelling in their AI chips
- Market
players are focusing on providing advanced AI chips for edge computing
which provides advanced features, such as visual intelligence, for better
recognition and differentiation of locations, spaces, and objects
- Market
participants are undertaking strategic initiatives, including partnerships
and mergers & acquisitions of tech-based startups providing innovative
products to expand their outreach in the market
- Some of the
key companies areAdvanced Micro Devices, Inc.; Alphabet, Inc.; Intel
Corp.; Qualcomm Technologies, Inc.; Apple, Inc.; Mythic Ltd.; Arm Ltd.;
Samsung Electronics Co., Ltd.; NVIDIA Corp.; HiSilicon (Shanghai)
Technologies Co., Ltd.; and Xilinx, Inc.
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Edge Artificial
Intelligence Chips Market Segmentation
Grand View Research has
segmented the global edge artificial intelligence chips market based on
processor, device type, function, and region:
Edge AI
Chips Processor Outlook (Revenue, USD Million, 2016 - 2027)
- CPU
- GPU
- ASIC
- Others
Edge AI
Chips Device Type Outlook (Revenue, USD Million, 2016 - 2027)
- Consumer Devices
- Enterprise Devices
Edge AI
Chips Function Outlook (Revenue, USD Million, 2016 - 2027)
- Training
- Inference
Edge AI Chips
Regional Outlook (Revenue, USD Million, 2016 - 2027)
- North America
- U.S.
- Canada
- Mexico
- Europe
- U.K.
- Germany
- France
- Asia Pacific
- China
- Japan
- India
- South America
- Brazil
- Middle East and Africa (MEA)
About Grand View Research
Grand
View Research, Inc. is a U.S. based market research and consulting company,
registered in the State of California and headquartered in San Francisco. The
company provides syndicated research reports, customized research reports, and
consulting services. To help clients make informed business decisions, we offer
market intelligence studies ensuring relevant and fact-based research across a
range of industries, from technology to chemicals, materials and healthcare.
For more info visit @ https://www.grandviewresearch.com
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