The global edge artificial intelligence chips market size is expected to reach USD 120.0 billion by 2030, registering a CAGR of 33.9% from 2024 to 2030, according to a new report by Grand View Research, Inc. 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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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
Grand View Research has segmented the global edge artificial intelligence chips market based on chipset, function, device, and region:
Edge Artificial Intelligence Chips Chipset Outlook (Revenue, USD Million, 2018 - 2030)
CPU
GPU
ASIC
Others
Edge Artificial Intelligence Chips Function Outlook (Revenue, USD Million, 2018 - 2030)
Training
Inference
Edge Artificial Intelligence Chips Device Outlook (Revenue, USD Million, 2018 - 2030)
Consumer Devices
Enterprise Devices
Edge Artificial Intelligence Chips Regional Outlook (Revenue, USD Million, 2018 - 2030)
North America
U.S.
Canada
Mexico
Europe
Germany
UK
France
Asia Pacific
China
Japan
India
South Korea
Australia
Latin America
Brazil
Middle East and Africa (MEA)
Saudi Arabia
UAE
South Africa
List of Key Players in the Edge Artificial Intelligence Chips Market
Advanced Micro Devices, Inc.
Alphabet Inc.
Intel Corporation
Qualcomm Technologies, Inc.
Apple Inc.
Mythic
Arm Limited
Samsung
NVIDIA Corporation
Huawei Technologies Co., Ltd.
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