Artificial Intelligence (Chipsets) Market Report 2026

The artificial intelligence (chipsets) market size has grown exponentially in recent years. It will grow from $31.22 billion in 2025 to $40.96 billion in 2026 at a compound annual growth rate (CAGR) of 31.2%. The growth in the historic period can be attributed to growth of data intensive applications, early gpu adoption for AI workloads, expansion of cloud computing infrastructure, rising enterprise AI experimentation, increased availability of semiconductor fabrication.

The artificial intelligence (chipsets) market size is expected to see exponential growth in the next few years. It will grow to $119.62 billion in 2030 at a compound annual growth rate (CAGR) of 30.7%. The growth in the forecast period can be attributed to surge in generative AI workloads, demand for low latency edge computing, AI integration across industries, investments in advanced semiconductor nodes, need for power optimized AI chips. Major trends in the forecast period include rising demand for AI accelerators, growth of edge AI chip deployment, increasing adoption of gpus and asics, focus on energy efficient AI processing, expansion of AI training and inference hardware.

The rapid increase in data creation is expected to drive the growth of the artificial intelligence (chipsets) market in the coming years. Data generation refers to the creation and production of data in multiple formats, including text, numerical data, images, and other digital forms that can be stored and processed by computer systems. AI chipsets play a vital role in data generation by enabling fast and efficient processing, analysis, and interpretation of information. For instance, in September 2023, according to Demand Sage, a US-based data-driven marketing solution provider, the global volume of generated data reached 120 zettabytes in 2023 and is projected to rise to 181 zettabytes by the end of 2025. Internet users worldwide account for over 57% of total global data generation. Hence, the growing volume of data generation is boosting the artificial intelligence (chipsets) market.

Leading companies operating in the artificial intelligence (chipsets) market are concentrating on the development of advanced technologies such as AI chip configuration. AI chip configuration refers to the precise layout and organisation of components and features within an artificial intelligence (AI) chip. For example, in August 2023, Nvidia, a US-based software company, introduced the ‘GH200’. This advanced AI configuration is optimised to efficiently perform AI inference operations, offering strong support for generative AI applications. The latest version of the Grace Hopper Superchip enhances the amount of high-bandwidth memory, enabling the design to support larger and more complex AI models.

In July 2024, Advanced Micro Devices Inc. (AMD), a US-based semiconductor company, acquired Silo AI Oy for $665 million. This acquisition is intended to strengthen AMD’s software capabilities and AI model development expertise, while also improving its competitive position in the AI chip market. Silo AI Oy is a Finland-based artificial intelligence (AI) company that develops customised AI models and solutions that support AI chipset integration and performance optimisation.

Major companies operating in the artificial intelligence (chipsets) market are Apple Inc.; Alphabet Inc.; Samsung Electronics Co. Ltd.; Huawei Technologies Co. Ltd.; Intel Corporation; International Business Machines Corporation; Qualcomm Technologies Inc.; Micron Technology Inc.; NVIDIA Corporation; AMD; MediaTek Inc.; Baidu Inc.; Xilinx Inc.; Ampere Computing LLC; Cambricon Technologies Corporation; Horizon Robotics Inc.; VeriSilicon Holdings Co.; Cerebras Systems Inc.; Hailo; Graphcore Limited; SambaNova Systems Inc.; Mythic Inc.; Wave Computing Inc.; Esperanto Technologies Inc.; CogniTensor Inc.; Syntiant Corporation; Tenstorrent Inc.; BrainChip Holdings Ltd.

North America was the largest region in the artificial intelligence (chipsets) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (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 (chipsets) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have impacted the artificial intelligence chipsets market by increasing costs for imported semiconductors, fabrication equipment, and advanced packaging components. These effects are most pronounced in processor and memory segments, particularly across asia pacific and north america, which dominate semiconductor manufacturing and consumption. Higher duties have raised production costs and extended supply timelines. However, tariffs are encouraging domestic chip manufacturing, regional supply chain diversification, and long term investments in local semiconductor ecosystems.

The artificial intelligence (chipsets) market research report is one of a series of new reports that provides artificial intelligence (chipsets) market statistics, including artificial intelligence (chipsets) industry global market size, regional shares, competitors with a artificial intelligence (chipsets) market share, detailed artificial intelligence (chipsets) market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (chipsets) industry. This artificial intelligence (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 handle computationally intensive tasks associated with artificial intelligence. These chipsets are optimized to improve the performance and efficiency of AI algorithms and models, facilitating quicker and more effective execution of AI workloads.

The primary hardware types of artificial intelligence chipsets include processors, memory, and network components. A central processing unit (CPU) processor serves as the core hardware responsible for executing instructions and performing calculations in a computer system. The technologies encompass machine learning, natural language processing, context-aware computing, computer vision, and predictive analysis, involving functions such as training and inference. These chipsets are utilized in various computing technologies such as cloud AI computing and edge AI computing, and find applications across diverse industry verticals, including consumer electronics, media and advertising, banking, financial services and insurance (BFSI), information technology (IT) and telecom, retail, healthcare, automotive, and others.

The artificial intelligence (chipsets) market consists of revenues earned by entities by providing technologies such as parallel processing technologies, and neural network architectures. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (chipsets) market also includes sales of graphics processing units (GPUs), tensor processing units (TPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs). 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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