Latest News- Edge AI ICs Market: CPU is expected to lead the Type segment during 2025-2029

The Edge AI ICs Market is being driven by Surging demand for real-time processing and low latency applications

The Edge AI ICs Market is expected to grow at a CAGR of 40% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 68590.7 million. The edge AI ICs market is experiencing a significant shift towards on-device generative AI, marking a transformative trend in the industry. Traditionally, edge AI has primarily focused on discriminative tasks, such as image classification and object detection. However, the recent advancements in generative AI models, including large language models (LLMs) and diffusion models for image creation, have led to an increased demand for these capabilities at the edge. Generative AI models are considerably larger and more computationally intensive than discriminative models, necessitating substantial increases in memory, processing power, and a sophisticated system architecture to operate effectively. This transition signifies a substantial leap in complexity for edge AI. 

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Which Factors Are Causing a Surge in Market Growth?

The market is segmented based on

• Type
  • CPU
  • ASIC
  • GPU
  • Others
• Application
  • Inference
  • Training
• Device
  • Consumer devices
  • Enterprise devices
• Geography
  • North America
    • Canada
    • US
  • APAC
    • China
    • India
    • Japan
    • South Korea
  • Europe
    • Germany
    • UK
    • France
    • Italy
  • South America
  • Middle East and Africa

According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

• Surging demand for real-time processing and low latency applications
• Escalating concerns regarding data privacy and security
• Proliferation of IoT devices and growing need for on-device intelligence

However, the market also witnesses some limitations, which are as follows:

• Stringent power consumption and thermal management constraints
• High development costs and increasing design complexity
• Software fragmentation and lack of standardization

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Market Scope in Edge AI ICs Market Research Report

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Research Analysis Overview

The Edge AI ICs Market encompasses various technologies such as AI accelerators, Neural Processing Units (NPUs), Tensor Processing Units (TPUs), Digital Signal Processors (DSPs), FPGA acceleration, ASIC design, Arm processors, RISC-V processors, Energy Harvesting, Wireless Communication, Cloud Connectivity, Data Encryption, Model Quantization, Model Pruning, Precision Recall, Inference Speed, Power Budget, Thermal Constraints, Real-Time Constraints, System Architecture, Functional Safety, Hardware Design, Software Development, Testing Methodologies, Deployment Strategies, and Application Programming Interfaces. These technologies aim to enhance the capabilities of Edge AI devices, enabling advanced functionalities like energy-efficient processing, low-latency inference, and secure data transmission.

Market Research Overview

The Edge AI ICs Market is a segment of Technavio's global Technology Hardware, Storage, and Peripherals Market, which encompasses manufacturers of cellular phones, personal computers, servers, electronic components, data storage, and peripherals. This market is anticipated to grow significantly due to the increasing demand for AI inference engines, neural network accelerators, and edge AI processors driven by the escalating volume, velocity, veracity, and variety (4Vs) of data. This data-intensive trend is primarily fueling the growth of data centers, necessitating advanced data processing capabilities at the edge. The global Technology Hardware, Storage, and Peripherals Market size is determined by the revenue generated from sales of hardware devices, equipment, and components, including computer vision algorithms, and is expected to experience robust expansion in the coming years.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.

Technavio Research
Jesse Maida
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