The AI chipsets market is estimated to reach US$159.178 billion by 2029, growing at a CAGR of 25.87% from US$68.194 billion in 2024.
An artificial intelligence chipset is a type of chip specially designed by various computing devices to perform AI-based operations efficiently. Multiple types of AI chipsets exist, including AI-based GPUs, Neural Processing Units (NPUs), and memory chips. The AI chips are designed to integrate greater neural processing efficiency compared to the other types of chips, and they also offer energy efficiencies, ultra-fast computing, and lower latency.
The AI chipsets also include flexibility in their applications, as these chips offer a higher level of customization than the other chips and can also be built for specific AI training models or applications. Their performance is also greater than the other types of chips, as these chips are specifically built with higher levels of computational capacity. These chips offer more efficient and accurate results and can perform core tasks like natural language processing (NLP) and data analysis.
MediaTek, a Taiwanese chip manufacturer, unveiled the Genio architecture and Genio 1200 chip for artificial intelligence of things (AIoT) devices in May 2022. MediaTek Genio provides a comprehensive platform stack tailored for AIoT, open platform SDKs, and a developer portal equipped with extensive resources and tools.
Furthermore, the rising usage of analytical computations and complex problem-solving using quantum computing technology is also increasing the AI Chipsets market. Google introduced Cloud TPU v5p in December 2023. These TPUs served a considerable time as the backbone for training and deploying AI-driven products such as YouTube, Gmail, Google Maps, Google Play, and Android. The demand for AI chipsets will increase as understanding of quantum computing deepens, accelerating the sector’s growth.
The semiconductor sector is the major driving force in AI chipsets; both sectors collaborate in growth. In 2022, U.S.-based semiconductor companies commanded 48.0 percent of the overall semiconductor market share. Such growth aligns with the expanding AI Chipsets market in the North American region, which relies on AI-driven technologies for improved efficiency and precision. This synergy underscores the pivotal role of AI chipsets.
An artificial intelligence chipset is a type of chip specially designed by various computing devices to perform AI-based operations efficiently. Multiple types of AI chipsets exist, including AI-based GPUs, Neural Processing Units (NPUs), and memory chips. The AI chips are designed to integrate greater neural processing efficiency compared to the other types of chips, and they also offer energy efficiencies, ultra-fast computing, and lower latency.
The AI chipsets also include flexibility in their applications, as these chips offer a higher level of customization than the other chips and can also be built for specific AI training models or applications. Their performance is also greater than the other types of chips, as these chips are specifically built with higher levels of computational capacity. These chips offer more efficient and accurate results and can perform core tasks like natural language processing (NLP) and data analysis.
AI chipsets market drivers
Increasing focus on creating AI systems
The growing need for high-end specifications for various electronic gadgets, including tablets and smartphones, is increasing the demand for AI chipsets in consumer electronics. Numerous manufacturers are constantly releasing cutting-edge AI chipsets to meet this growing demand.MediaTek, a Taiwanese chip manufacturer, unveiled the Genio architecture and Genio 1200 chip for artificial intelligence of things (AIoT) devices in May 2022. MediaTek Genio provides a comprehensive platform stack tailored for AIoT, open platform SDKs, and a developer portal equipped with extensive resources and tools.
Furthermore, the rising usage of analytical computations and complex problem-solving using quantum computing technology is also increasing the AI Chipsets market. Google introduced Cloud TPU v5p in December 2023. These TPUs served a considerable time as the backbone for training and deploying AI-driven products such as YouTube, Gmail, Google Maps, Google Play, and Android. The demand for AI chipsets will increase as understanding of quantum computing deepens, accelerating the sector’s growth.
AI chipsets market geographical outlook
North America is forecasted to hold a major share of the AI Chipsets Market.
The North American region is anticipated to hold a considerable market share fueled by the immense applications of defense, government, robotics, automation, automobiles, etc. The USA is a major regional player, having several core companies, such as IBM Corporation, Intel Corporation, AMD Inc., etc.The semiconductor sector is the major driving force in AI chipsets; both sectors collaborate in growth. In 2022, U.S.-based semiconductor companies commanded 48.0 percent of the overall semiconductor market share. Such growth aligns with the expanding AI Chipsets market in the North American region, which relies on AI-driven technologies for improved efficiency and precision. This synergy underscores the pivotal role of AI chipsets.
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Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive IntelligenceReport Coverage:
- Historical data & forecasts from 2022 to 2029
- Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
- Competitive Positioning, Strategies, and Market Share Analysis
- Revenue Growth and Forecast Assessment of segments and regions including countries
- Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)
The AI Chipsets Market is analyzed into the following segments:
By Component
- GPU (Graphic Processing Unit)
- FGPA (Field-Programmable Gate Array)
- ASIC (Application-Specific Integrated Circuit)
- Others
By End-User
- Automotives
- Consumer Electronics
- Industrial
- Healthcare
- Others
By Geography
- North America
- USA
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Others
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Others
- Middle East and Africa
- Saudi Arabia
- UAE
- Others
- Asia Pacific
- China
- Japan
- India
- South Korea
- Taiwan
- Australia
- Others
Table of Contents
1. INTRODUCTION
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
5. AI CHIPSETS MARKET BY COMPONENT
6. AI CHIPSETS MARKET BY END-USER
7. AI CHIPSETS MARKET BY GEOGRAPHY
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
9. COMPANY PROFILES
Companies Mentioned
- AMD Inc
- Graphcore Ltd
- Huawei Technologies Co Ltd
- IBM Corporation
- Intel Corporation
- NVIDIA Corporation
- Micron Technology Inc
- Samsung Semiconductor
- Synopsys, Inc.
- Qualcomm Technologies, Inc.
- MediaTek Inc.
- Cerebras
Methodology
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