AI Chipsets Market Report 2026

The artificial intelligence (AI) chipsets market size has grown exponentially in recent years. It will grow from $28.08 billion in 2025 to $38.26 billion in 2026 at a compound annual growth rate (CAGR) of 36.2%. The growth in the historic period can be attributed to growth of machine learning applications, early GPU adoption for AI workloads, expansion of data centers, increasing computational demands, advancements in semiconductor design.

The artificial intelligence (AI) chipsets market size is expected to see exponential growth in the next few years. It will grow to $131.1 billion in 2030 at a compound annual growth rate (CAGR) of 36.1%. The growth in the forecast period can be attributed to rising edge computing adoption, demand for low power AI chips, expansion of autonomous systems, increasing AI workloads across industries, investments in next generation semiconductors. Major trends in the forecast period include high performance AI accelerators, energy efficient AI processing units, edge AI chipset development, specialized AI inference hardware, integration of AI chips in end devices.

The growing demand for autonomous vehicles is anticipated to drive the expansion of the artificial intelligence (AI) chipsets market in the coming years. An autonomous vehicle, often referred to as a self-driving car, is capable of operating and performing critical functions without human input due to its ability to perceive and interpret its surroundings. Artificial intelligence (AI) chipsets play a vital role in autonomous vehicle functionality by providing the computational power, machine learning capabilities, and real-time decision-making needed to ensure safe and efficient self-driving operations. For instance, in February 2024, according to the California Department of Motor Vehicles (DMV), a US-based state regulator, companies holding autonomous vehicle testing permits in California recorded over 9,068,861 test miles between December 2022 and November 2023. Thus, the increasing adoption of autonomous vehicles is fueling the growth of the artificial intelligence (AI) chipsets market.

Leading companies operating in the artificial intelligence (AI) chipsets market are introducing new products, such as artificial intelligence (AI) accelerators, to strengthen their competitive position. An artificial intelligence (AI) accelerator, also known as a neural processing unit (NPU), is a specialized hardware or software component designed to significantly enhance the performance of artificial intelligence (AI) workloads, especially those associated with deep learning. For instance, in December 2023, Intel Corporation, a US-based semiconductor company, introduced AI-driven products including the Intel Core Ultra mobile processor and the 5th Gen Intel Xeon processors. These developments are aimed at broadening Intel’s AI portfolio by delivering improved AI capabilities across a wide range of computing environments, such as data centers, cloud infrastructure, networking, edge computing, and personal computers. The Intel Core Ultra mobile processor marks a major architectural advancement, featuring enhancements in CPU performance, graphics, energy efficiency, and AI functionality, while the 5th Gen Intel Xeon processors provide built-in AI acceleration across every core to boost performance and efficiency for data center and enterprise applications. In addition, Intel previewed Gaudi3, a next-generation AI accelerator designed for generative AI models. These new introductions align with Intel’s strategy to enable widespread and accessible AI integration across diverse computing platforms.

In July 2024, SoftBank, a Japan-based Internet services company, acquired Graphcore for $600 million. This acquisition is focused on bolstering SoftBank's AI capabilities by incorporating Graphcore's Intelligence Processing Units (IPUs) to compete with industry leaders like Nvidia and to further its strategy toward artificial general intelligence (AGI). Graphcore is a semiconductor company based in the UK that specializes in creating intelligence processing units (IPUs) specifically designed for artificial intelligence (AI) workloads.

Major companies operating in the artificial intelligence (AI) chipsets market are Apple Inc.; Alphabet Inc.; Samsung Electronics Co. Ltd.; Microsoft Corporation; Huawei Technologies Corporate Limited; Intel Corp.; International Business Machines Corporation (IBM); Qualcomm Technologies; Broadcom Limited; Micron Technology Inc.; Toshiba Corporation; Nvidia Corporation; Advanced Micro Devices Inc.; Texas Instruments; MediaTek Inc.; Baidu Inc.; STMicroelectronics; Infineon Technologies; Renesas Electronics Corporation; NXP Semiconductors NV; Synopsys Inc.; Cadence Design Systems Inc.; Xilinx Inc.; Arm Holdings; Graphcore Limited; Mythic Ltd.; SambaNova Systems.

North America was the largest region in the artificial intelligence (AI) chipsets market in 2025. The regions covered in the artificial intelligence (AI) chipsets market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) chipsets market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have influenced the AI chipsets market by increasing costs of semiconductor fabrication equipment and imported raw materials. Processor and memory segments are most affected due to complex global supply chains. Asia Pacific and North America face higher production and procurement costs. These challenges can impact pricing and availability of AI hardware. At the same time, tariffs are encouraging domestic semiconductor manufacturing and regional chip production initiatives.

The artificial intelligence (AI) chipsets market research report is one of a series of new reports that provides artificial intelligence (AI) chipsets market statistics, including artificial intelligence (AI) chipsets industry global market size, regional shares, competitors with a artificial intelligence (AI) chipsets market share, detailed artificial intelligence (AI) chipsets market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) chipsets industry. This artificial intelligence (AI) chipsets market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial intelligence (AI) chipsets are specialized hardware components designed to efficiently perform the computational tasks required for AI applications, finding applications in various fields such as autonomous vehicles, robotics, natural language processing, computer vision, and other AI-driven systems.

The primary hardware types of artificial intelligence (AI) chipset components include processors, memory, and networks. AI processors are specialized chips that leverage AI technology and machine learning to accelerate the processing of AI applications, including modeling and inference. They operate through training and inference functions, employing various technologies such as machine learning, natural language processing, context-aware computing, computer vision, and predictive analysis. These AI chipsets are utilized across diverse industries, including healthcare, manufacturing, automotive, agriculture, retail, cybersecurity, human resources, marketing, law, and others.

The artificial intelligence (AI) chipsets market consists of revenues earned by entities by providing quantum computing, and high-performance computing. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) chipsets market also includes sales of application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs), and graphical processing units (GPUs). Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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