Edge Artificial Intelligence Chips Market Is Predicted To Register A CAGR Of 19.3% Throughout 2024-2032

According to a report from Zion Market Research, the global Edge Artificial Intelligence Chips Market was valued at USD 2.39 Billion in 2023 and is projected to hit USD 13.93 Billion by 2032, with a compound annual growth rate (CAGR) of 19.3% during the forecast period 2024-2032.

The edge artificial intelligence chips market focuses on specialized processors handling AI tasks directly on devices instead of relying on cloud servers. These chips power smartphones, cameras, robots, and IoT gadgets, allowing them to run AI algorithms faster and more efficiently while keeping data private. By processing information locally, they reduce delays and limit the need for cloud storage, improving speed and security.

Browse the full “Edge Artificial Intelligence Chips Market By Processor (CPU, GPU, and ASIC), By Device Type (Consumer Devices and Enterprise Devices), By Function (Inference and Training), and By Region - Global Industry Perspective, Comprehensive Analysis, and Forecast, 2024 - 2032” Report at https://www.zionmarketresearch.com/report/edge-artificial-intelligence-chips-market

With rising demand for faster AI processing and stronger data privacy, these chips are shaping the future of AI technology.

Market Growth Factors

Several key factors are propelling the growth of the edge artificial intelligence chips market.

• Increasing use of e-commerce and social media: The growing utilization of e-commerce platforms and social media generates vast amounts of data, creating a demand for more efficient processors to handle machine learning tasks faster.
• Growth in autonomous systems: AI-powered autonomous technologies, such as self-driving cars and drones, require advanced edge AI chips for real-time object detection, navigation, and decision-making.
• Expansion of Smart Homes: An upsurge in the development of smart homes boosts demand for efficient AI chips.

Restraints

• High prices: The relatively higher prices of Edge AI chips may adversely impact the edge artificial intelligence chips industry growth.
• Need for frequent upgrades: The need for frequent upgrades may adversely affect the market growth.

Edge Artificial Intelligence Chips Market: Report Scope

Market Segmentation

The Edge Artificial Intelligence Chips Market can be segmented into processors, device types, functions, end-users, and region.

On the basis of processors, the market is segmented into CPU, GPU, ASIC, and others. GPUs lead the market due to superior parallel processing for AI tasks like deep learning and image recognition.

Based on device types, the edge AI chips industry is classified into consumer devices and enterprise devices. Consumer devices dominate the market due to high AI adoption in smartphones, wearables, and smart home technology.

On the basis of functions, the edge artificial intelligence chips industry is segregated into training and inference. The inference segment leads the market as real-time AI decision-making is prioritized over training in edge applications.

Based on the end-user, the edge AI chips market is divided into consumer electronics, smart homes, automotive, government, aerospace and defense, healthcare, industrial, construction, and others. Consumer electronics lead the market with growing AI integration in smartphones, laptops, and wearables.

North America dominates the global Edge AI Chips market, driven by its strong technology ecosystem and rapid advancements in AI. The presence of major technology giants in the U.S. accelerates innovation and investment in AI-powered hardware. The region also sees high adoption of AI-enabled consumer devices like smartphones and wearables, boosting demand for advanced processors. Additionally, ongoing technological advancements and large-scale integration of AI chips into emerging industries, such as autonomous vehicles and smart infrastructure, further propel market growth. With continuous investments in AI research and edge computing, North America remains at the forefront of this expanding industry.

Key Market Players

Key companies in the Edge Artificial Intelligence Chips Market include:

• Arm Limited
• Samsung Electronics Co., Ltd.
• Qualcomm Technologies, Inc.
• Advanced Micro Devices, Inc.
• Hi Silicon(Shanghai) Technologies CO., LIMITED
• Alphabet Inc.
• Intel Corporation
• Apple Inc.
• Mythic
• NVIDIA Corporation
• Xilinx Inc.

Recent Developments

• In June 2024, AMD launched the Ryzen AI 300 Series with an integrated Neural Processing Unit (NPU) for AI PCs and the Ryzen 9000 Series for desktops, boosting performance for creators, gamers, and professionals.

• In December 2024, Kerala-based startup Netrasemi raised INR 10 crore to develop AI-driven SoCs for IoT.

The global edge artificial intelligence chips market is segmented as follows:

By Function:

• Inference
• Training

By Processor:

• CPU
• GPU
• ASIC

By Device Type:

• Consumer Devices
• Enterprise Devices

Global Edge Artificial Intelligence Chips Market​: Regional Analysis

• North America
  • The U.S.
• Europe
  • UK
  • France
  • Germany
• Asia Pacific
  • China
  • Japan
  • India
• Latin America
  • Brazil
• The Middle East and Africa

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