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Artificial Intelligence Chip Market Size, Share, Trends and Forecast by Chip Type, Technology, Processing Type, Application, Industry Vertical, and Region 2025-2033
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The global artificial intelligence chip market size was valued at USD 23.7 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 173.5 Billion by 2033, exhibiting a CAGR of 24.8% during 2025-2033. North America exhibits a clear dominance in the artificial intelligence chip market with 32.1% of the market share. This region is driven by rapid advancements in machine learning, high demand for cloud-based applications, growing investments in AI startups, and widespread adoption of these chips across various industries.

Artificial intelligence (AI) chips are specially designed to run machine learning (ML) workloads through programming frameworks. They comprise field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and application-specific integrated circuits (ASICs). They also consist of AI-optimized features, which can accelerate calculations and computing tasks required by AI algorithms. They rely on small transistors, which run faster and consume less energy as compared to large transistors. They are designed for applications that use artificial neural networks (ANN), which is a machine learning (ML) approach inspired by the human brain. They can execute tasks that are highly complex and dynamic by processing multiple streams of information simultaneously. They eliminate the need to rely on the cloud to store data, as these chips can run AI programs locally on the devices. As they offer natural language processing (NLP), computer vision, robotics, and network security, AI chips find applications in the automotive, information and technology (IT), healthcare, and retail industries across the globe.

Artificial Intelligence Chip Market Trends:

At present, the rising adoption of AI technology in the automotive industry to manufacture driverless cars and achieve the L5 level of autonomous technology represents one of the key factors supporting the growth of the market. Besides this, there is an increase in the demand for AI-enabled machines to perform various tasks in challenging situations around the world. This, along with the growing focus on developing human-aware AI systems, is offering a favorable market outlook. In addition, key players are investing in neuromorphic research activities to develop techniques inspired by the real neurons in the brain function. They are also utilizing AI and machine learning (ML) to design the next generation of AI chips, which is contributing to the growth of the market. Moreover, the increasing demand for AI chips in consumer electronics, such as laptops, desktops, and gaming consoles, is offering lucrative growth opportunities to industry investors. Apart from this, there is a rise in the employment of advanced technologies in various industries, such as computer vision, big data, augmented reality (AR), and virtual reality (VR), across the globe. This, coupled with the growing utilization of quantum computing technologies to tackle complicated issues and perform analytical computations, is positively influencing the market.

Key Market Segmentation:

Chip Type Insights:

Technology Insights:

Processing Type Insights:

Application Insights:

Industry Vertical Insights:

Regional Insights:

Competitive Landscape:

Key Questions Answered in This Report

Table of Contents

1 Preface

2 Scope and Methodology

3 Executive Summary

4 Introduction

5 Global Artificial Intelligence Chip Market

6 Market Breakup by Chip Type

7 Market Breakup by Technology

8 Market Breakup by Processing Type

9 Market Breakup by Application

10 Market Breakup by Industry Vertical

11 Market Breakup by Region

12 SWOT Analysis

13 Value Chain Analysis

14 Porters Five Forces Analysis

15 Price Analysis

16 Competitive Landscape

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