PUBLISHER: The Business Research Company | PRODUCT CODE: 1929055
PUBLISHER: The Business Research Company | PRODUCT CODE: 1929055
A generative artificial intelligence (AI) chipset is a specialized hardware component designed to optimize the performance of AI models that create content, including text, images, or audio. These chipsets are specifically engineered to meet the high computational demands associated with generative AI tasks, delivering efficient processing power and expedited data handling. They play a critical role in accelerating complex AI algorithms and enhancing the overall efficacy of AI applications.
The primary types of generative artificial intelligence (AI) chipsets include central processing units (CPUs), graphics processing units (GPUs), field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), among others. A central processing unit (CPU) serves as the core component responsible for executing general-purpose computations and managing the execution of various AI algorithms and tasks. Key applications encompass information cognition, traffic prediction and classification, resource management and network optimization, as well as performance prediction and configuration extrapolation. The end users span various sectors, including automotive, banking, financial services, and insurance (BFSI), consumer electronics, healthcare, manufacturing, retail, telecommunications, and more.
Tariffs have impacted the generative artificial intelligence chipset market by increasing costs of semiconductor manufacturing equipment, advanced materials, and cross border chip supply. These effects have been most significant in Asia Pacific and North America where fabrication and assembly are globally distributed. Higher tariffs have influenced pricing and supply chain strategies for AI chip vendors. At the same time, tariffs have encouraged domestic chip manufacturing, regional fabrication investments, and supply chain diversification to strengthen technological self sufficiency.
The generative artificial intelligence (ai) chipset market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence (ai) chipset market statistics, including generative artificial intelligence (ai) chipset industry global market size, regional shares, competitors with a generative artificial intelligence (ai) chipset market share, detailed generative artificial intelligence (ai) chipset market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (ai) chipset industry. This generative artificial intelligence (ai) chipset 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.
The generative artificial intelligence (ai) chipset market size has grown exponentially in recent years. It will grow from $40.97 billion in 2025 to $52.21 billion in 2026 at a compound annual growth rate (CAGR) of 27.4%. The growth in the historic period can be attributed to growth of machine learning applications, early adoption of gpu computing, expansion of cloud data centers, rising demand for high performance computing, initial ai research investments.
The generative artificial intelligence (ai) chipset market size is expected to see exponential growth in the next few years. It will grow to $136.98 billion in 2030 at a compound annual growth rate (CAGR) of 27.3%. The growth in the forecast period can be attributed to rapid adoption of generative ai applications, demand for faster model training, edge ai deployment growth, investment in custom ai hardware, expansion of ai driven industries. Major trends in the forecast period include rising demand for high performance ai accelerators, increasing adoption of asic based ai chipsets, growing use of gpus for generative ai workloads, expansion of ai chipsets in data centers, increasing focus on energy efficient ai hardware.
The increasing adoption of cloud-based solutions is projected to drive the growth of the generative artificial intelligence (AI) chipset market in the future. Cloud-based solutions refer to services and resources that are provided over the internet, rather than being hosted on local servers or physical hardware. This rising adoption is largely due to the scalability, cost efficiency, and flexible access to data and applications from any location, which enhances operational agility and reduces infrastructure costs for businesses. Generative AI chipsets improve cloud-based solutions by accelerating the processing of complex AI models, optimizing data handling, and enabling real-time, high-performance computations. This advancement supports more sophisticated and responsive cloud services and applications. For example, in April 2025, according to the American Bar Association, a U.S.-based professional organization, approximately 75% of attorneys reported using cloud computing for work-related tasks, up from 69% in 2023 and about 70% in 2022. Therefore, the growing adoption of cloud-based solutions is fueling the growth of the generative artificial intelligence (AI) chipset market.
Key players in the generative artificial intelligence (AI) chipset market are concentrating on developing advanced solutions, such as premium mobile platforms, to enhance on-device generative AI capabilities. A premium mobile platform featuring a generative AI chipset refers to a high-end mobile device equipped with advanced artificial intelligence hardware that can create and optimize content while improving user experiences. For example, in October 2023, Qualcomm Technologies Inc., a US-based semiconductor company, launched its latest premium chipset, the Snapdragon 8 Gen 3, aimed at enhancing generative AI capabilities in high-end smartphones. The Snapdragon 8 Gen 3 is designed to support sophisticated generative AI applications, enabling smartphones to perform tasks such as real-time voice translation, automatic content creation, and enhanced photo editing directly on the device. This shift towards on-device processing reduces reliance on cloud services, resulting in faster performance and improved user privacy.
In May 2024, HCL Technologies Limited, an India-based information technology company, announced a partnership with Arm Holdings plc to develop custom silicon chips that support AI-driven business operations. This collaboration aims to deliver solutions that empower semiconductor manufacturers, system original equipment manufacturers (OEMs), and cloud service providers to enhance the computing efficiency of their data center environments and address evolving customer demands. Arm Holdings plc is a UK-based semiconductor company engaged in generative AI chipsets.
Major companies operating in the generative artificial intelligence (ai) chipset market are NVIDIA Corporation, Advanced Micro Devices Inc., Intel Corporation, Qualcomm Technologies Inc., Samsung Electronics Co Ltd, Broadcom Inc., MediaTek Inc., Micron Technology Inc., Arm Holdings plc, Lattice Semiconductor Corporation, Rambus Inc., Cerebras Systems Inc., Hailo Technologies Ltd., SiMa.ai Inc., Graphcore Ltd., Tenstorrent Inc., Groq Inc., SambaNova Systems Inc., Esperanto Technologies Inc., Mythic Inc., Blaize Inc., EdgeQ Inc., Lightmatter Inc., d-Matrix Inc.
North America was the largest region in the generative artificial intelligence (AI) chipset market in 2025. The regions covered in the generative artificial intelligence (ai) chipset market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the generative artificial intelligence (ai) chipset market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain
The generative artificial intelligence (AI) chipset market consists of sales of tensor processing units (TPUs), neural processing units (NPUs), system-on-chip (SoC), memory modules, and networking hardware. 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.
Generative Artificial Intelligence (AI) Chipset Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses generative artificial intelligence (ai) chipset market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for generative artificial intelligence (ai) chipset ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence (ai) chipset market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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