The Edge Artificial Intelligence Chips Market is Predict to reach USD 148.96 Billion by 2031, at a CAGR of 33.2%

Edge Artificial Intelligence Chips Market Growth, Trends and Report Highlights

According to a new report, published by KBV research, The Global Edge Artificial Intelligence Chips Market size is expected to reach $148.96 billion by 2031, rising at a market growth of 33.2% CAGR during the forecast period.

The Training segment registers a CAGR of 33.9% during (2024 - 2031). Training involves developing and optimizing AI models using large datasets, typically requiring significant computational power. Although training is often performed in centralized data centers, the growing demand for localized AI processing and model updates has started to shift some aspects of training to the edge. The training segment includes chips designed to handle complex algorithms and data processing tasks needed to train AI models at the edge, supporting applications such as edge device personalization and on-device learning.

The CPU segment is leading the Global Edge Artificial Intelligence Chips Market by Chipset in 2023; thereby, achieving a market value of $86.43 billion by 2031. This can be attributed to the widespread use of CPUs in edge computing devices for various AI applications. CPUs are highly versatile and can efficiently handle multiple tasks simultaneously, making them ideal for edge AI applications that require general-purpose processing. Their broad adoption in consumer electronics, industrial automation, and smart devices has driven the growth of the CPU segment.

The Enterprise Devices segment is experiencing a CAGR of 35.7% during (2024 - 2031). This segment includes AI chips used in industrial applications, enterprise-level automation systems, and smart infrastructure. Enterprise devices require powerful edge AI chips to process large amounts of data locally and make real-time decisions in manufacturing, logistics, and enterprise resource planning (ERP) applications. The growing trend of digital transformation in industries, coupled with the increasing need for faster, more efficient data processing and decision-making at the edge, has contributed to the rise of AI chip adoption in enterprise devices.

Full Report: https://www.kbvresearch.com/edge-artificial-intelligence-chips-market/

The North America region dominated the Global Edge Artificial Intelligence Chips Market by Region in 2023; thereby, achieving a market value of $50.29 billion by 2031. The Europe region is expected to witness a CAGR of 32.8% during (2024 - 2031). Additionally, The Asia Pacific region would capture a CAGR of 33.9% during (2024 - 2031).

List of Key Companies Profiled

• Advanced Micro Devices Inc.
• Samsung Electronics Co., Ltd. (Samsung Group)
• NXP Semiconductors N.V.
• Qualcomm Incorporated (Qualcomm Technologies, Inc.)
• NVIDIA Corporation
• Intel Corporation
• Infineon Technologies AG
• IBM Corporation
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• Apple, Inc.

Edge Artificial Intelligence Chips Market Report Segmentation

By Function

• Inference
• Training

By Chipset

• CPU
• ASIC
• GPU
• Other Chipset

By Device

• Consumer Devices
• Enterprise Devices

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Related Reports:

North America Edge Artificial Intelligence Chips Market Size 2031

• December-2024
• 136 Pages

LAMEA Edge Artificial Intelligence Chips Market Size 2031

• December-2024
• 142 Pages

Europe Edge Artificial Intelligence Chips Market Size 2031

• December-2024
• 143 Pages

Asia Pacific Edge Artificial Intelligence Chips Market Size 2031

• December-2024
• 143 Pages