Generative Artificial Intelligence (AI) Chipset Market Report 2024

This Generative Artificial Intelligence (AI) Chipset market report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The generative artificial intelligence (AI) chipset market size has grown exponentially in recent years. It will grow from $25.19 billion in 2023 to $32.3 billion in 2024 at a compound annual growth rate (CAGR) of 27.8%. The growth observed during the historical period can be attributed to a rising demand for computational power, a surge in deep learning applications, increased investments in AI research, heightened need for real-time AI processing, and growing consumer interest in AI-enabled devices.

The generative artificial intelligence (AI) chipset market size is expected to see exponential growth in the next few years. It will grow to $86.24 billion in 2028 at a compound annual growth rate (CAGR) of 27.9%. The anticipated growth in the forecast period can be attributed to the surge in big data, advancements in GPU technology, expansion of cloud computing, support for mixed precision computing, and government initiatives coupled with funding. Key trends expected during this period include the integration of edge computing, collaboration with FPGA and ASIC technologies, innovative cooling solutions, enhanced cross-platform compatibility, and advanced interconnect technologies.

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 instance, in December 2023, Eurostat, a Luxembourg-based government agency, reported that 42.5% of EU enterprises utilized cloud computing services in 2023, primarily for email, file storage, and office software, marking a 4.2 percentage point increase since 2021. Thus, the growing adoption of cloud-based solutions is significantly contributing to the expansion of the generative 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 Samsung Electronics Co Ltd., Microsoft Corporation, Huawei Technologies Co. Ltd., Amazon Web Services Inc., LG Electronics Inc., Intel Corporation, Cisco Systems Inc., Qualcomm Technologies Inc., Broadcom Inc., Micron Technology Inc., NVIDIA Corporation, Advanced Micro Devices Inc., MediaTek Inc., Synopsys Inc., Arm Holdings plc, Lattice Semiconductor Corporation., Rambus Inc., Cerebras Systems Inc., Hailo Technologies Ltd., SiMa.ai Inc.

North America was the largest region in the generative artificial intelligence (AI) chipset market in 2023. The regions covered in the generative artificial intelligence (AI) chipset market report are Asia-Pacific, 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, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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.

The generative artificial intelligence (AI) chipset market research report is one of a series of new reports that provides generative artificial intelligence (AI) chipset market statistics, including the generative artificial intelligence (AI) chipset industry's 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 scenarios of the industry.

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.


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