The Global Artificial Intelligence (AI) Chipsets Market was valued at USD 58.2 billion in 2025 and is estimated to grow at a CAGR of 33.9% to reach USD 1.1 trillion by 2035.
The market growth is fueled by the rising integration of AI across sectors such as healthcare, automotive, consumer electronics, and data centers. Increasing demand for high-performance computing, edge AI devices, AI-enabled IoT applications, and machine learning workloads is driving adoption worldwide. Advances in semiconductor technologies, energy-efficient processor architectures, and AI-optimized chip designs are transforming the market, enabling faster and more intelligent computations. Companies are focusing on developing specialized GPUs, NPUs, and ASICs to accelerate deep learning, neural networks, and AI processing, supporting applications from autonomous vehicles to predictive analytics. This shift toward AI-dedicated architectures is reshaping how industries deploy intelligent systems while optimizing energy efficiency and operational performance.
The natural language processing (NLP) segment generated USD 18.8 billion in 2025. NLP chipsets are designed to accelerate language-based AI applications, such as virtual assistants, chatbots, real-time translation, and sentiment analysis, enabling faster model training and real-time inference. Their adoption across enterprises, healthcare, e-commerce, and smart devices drives significant market demand.
The GPU segment accounted for a 48.8% share in 2025 due to its exceptional parallel processing capability, high computational efficiency, and ability to handle complex AI workloads. GPUs facilitate rapid machine learning, deep learning, and neural network computations, making them essential for applications in robotics, cloud computing, automotive, and healthcare, reinforcing their dominant position in AI chipsets.
North America Artificial Intelligence (AI) Chipsets Market held a 31.6% share in 2025. Market expansion in the region is driven by early adoption of AI technologies, strong industrial investment in data centers and cloud computing, and growing deployment of edge AI and autonomous systems. The presence of major AI chipset manufacturers, government support, research initiatives, and high demand for energy-efficient, high-performance processors for machine learning and real-time analytics further strengthen the regional market.
Key companies in the Artificial Intelligence (AI) Chipsets Market include Apple Inc., AMD (Advanced Micro Devices), Arm Ltd., NVIDIA Corporation, Intel Corporation, Qualcomm Technologies, Inc., MediaTek Inc., IBM, Hailo, Infineon Technologies Inc., Analog Devices, Inc., Micron Technology Inc., Samsung Electronics Co., Ltd., LG Electronics, ROHM Co., Ltd., STMicroelectronics, Graphcore, Kalray, Groq, Inc., Blaize, Imagination Technologies, NXP Semiconductors, and Alphabet Inc. Companies in the Artificial Intelligence (AI) Chipsets Market are employing multiple strategies to strengthen their market presence. They are heavily investing in research and development to create energy-efficient, high-performance GPUs, NPUs, and AI accelerators. Collaborations and strategic partnerships with cloud service providers, automotive OEMs, and industrial clients enhance adoption and integration across AI applications. Firms are launching specialized processors tailored for edge AI, NLP, and deep learning workloads to meet sector-specific needs.
This product will be delivered within 2-4 business days.
The market growth is fueled by the rising integration of AI across sectors such as healthcare, automotive, consumer electronics, and data centers. Increasing demand for high-performance computing, edge AI devices, AI-enabled IoT applications, and machine learning workloads is driving adoption worldwide. Advances in semiconductor technologies, energy-efficient processor architectures, and AI-optimized chip designs are transforming the market, enabling faster and more intelligent computations. Companies are focusing on developing specialized GPUs, NPUs, and ASICs to accelerate deep learning, neural networks, and AI processing, supporting applications from autonomous vehicles to predictive analytics. This shift toward AI-dedicated architectures is reshaping how industries deploy intelligent systems while optimizing energy efficiency and operational performance.
The natural language processing (NLP) segment generated USD 18.8 billion in 2025. NLP chipsets are designed to accelerate language-based AI applications, such as virtual assistants, chatbots, real-time translation, and sentiment analysis, enabling faster model training and real-time inference. Their adoption across enterprises, healthcare, e-commerce, and smart devices drives significant market demand.
The GPU segment accounted for a 48.8% share in 2025 due to its exceptional parallel processing capability, high computational efficiency, and ability to handle complex AI workloads. GPUs facilitate rapid machine learning, deep learning, and neural network computations, making them essential for applications in robotics, cloud computing, automotive, and healthcare, reinforcing their dominant position in AI chipsets.
North America Artificial Intelligence (AI) Chipsets Market held a 31.6% share in 2025. Market expansion in the region is driven by early adoption of AI technologies, strong industrial investment in data centers and cloud computing, and growing deployment of edge AI and autonomous systems. The presence of major AI chipset manufacturers, government support, research initiatives, and high demand for energy-efficient, high-performance processors for machine learning and real-time analytics further strengthen the regional market.
Key companies in the Artificial Intelligence (AI) Chipsets Market include Apple Inc., AMD (Advanced Micro Devices), Arm Ltd., NVIDIA Corporation, Intel Corporation, Qualcomm Technologies, Inc., MediaTek Inc., IBM, Hailo, Infineon Technologies Inc., Analog Devices, Inc., Micron Technology Inc., Samsung Electronics Co., Ltd., LG Electronics, ROHM Co., Ltd., STMicroelectronics, Graphcore, Kalray, Groq, Inc., Blaize, Imagination Technologies, NXP Semiconductors, and Alphabet Inc. Companies in the Artificial Intelligence (AI) Chipsets Market are employing multiple strategies to strengthen their market presence. They are heavily investing in research and development to create energy-efficient, high-performance GPUs, NPUs, and AI accelerators. Collaborations and strategic partnerships with cloud service providers, automotive OEMs, and industrial clients enhance adoption and integration across AI applications. Firms are launching specialized processors tailored for edge AI, NLP, and deep learning workloads to meet sector-specific needs.
Comprehensive Market Analysis and Forecast
- Industry trends, key growth drivers, challenges, future opportunities, and regulatory landscape
- Competitive landscape with Porter’s Five Forces and PESTEL analysis
- Market size, segmentation, and regional forecasts
- In-depth company profiles, business strategies, financial insights, and SWOT analysis
This product will be delivered within 2-4 business days.
Table of Contents
Chapter 1 Methodology and Scope
Chapter 2 Executive Summary
Chapter 3 Industry Insights
Chapter 4 Competitive Landscape, 2025
Chapter 5 Market Estimates & Forecast, by Product, 2022-2035 (USD Million)
Chapter 6 Market Estimates & Forecast, by Technology, 2022-2035 (USD Million)
Chapter 7 Market Estimates & Forecast, by Processing Type, 2022-2035 (USD Million)
Chapter 8 Market Estimates & Forecast, by Industry Vertical, 2022-2035 (USD Million)
Chapter 9 Market Estimates and Forecast, by Region, 2022-2035 ($ USD Million)
Chapter 10 Company Profiles
Companies Mentioned
The companies profiled in this Artificial Intelligence (AI) Chipsets market report include:- Alphabet Inc.
- AMD (Advanced Micro Devices)
- Analog Devices, Inc.
- Apple Inc.
- Arm Ltd.
- Blaize
- Graphcore
- Groq, Inc.
- Hailo
- Huawei Technologies Co., Ltd.
- IBM
- Imagination Technologies
- Infineon Technologies Inc
- Intel Corporation
- Kalray
- LG Electronics
- MediaTek Inc.
- Micron Technology Inc
- NVIDIA Corporation
- NXP Semiconductors
- Qualcomm Technologies, Inc
- ROHM Co., Ltd.
- Samsung Electronics Co., Ltd.
- STMicroelectronics
- Texas Instruments Incorporated
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 163 |
| Published | December 2025 |
| Forecast Period | 2025 - 2035 |
| Estimated Market Value ( USD | $ 58.2 Billion |
| Forecasted Market Value ( USD | $ 1100 Billion |
| Compound Annual Growth Rate | 33.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |
