PUBLISHER: The Business Research Company | PRODUCT CODE: 2131973
PUBLISHER: The Business Research Company | PRODUCT CODE: 2131973
Data center artificial intelligence (AI) chips are specialized semiconductor processors developed to accelerate AI workloads within data center environments. They support AI model training, inference, data analytics, and high-performance computing while providing high computational performance, energy efficiency, and scalability for cloud providers, enterprises, and research organizations.
The primary chip types of data-center artificial intelligence (AI) chips include graphics processing units, application-specific integrated circuits, and tensor processing units. Graphics processing units refer to high-performance parallel processing chips designed to accelerate artificial intelligence training, inference, and large-scale data processing workloads in modern data centers. These chips utilize memory technologies such as high-bandwidth memory, double data rate memory, and graphics double data rate memory and are deployed across cloud data centers, hyperscale data centers, and enterprise data centers. The various applications include large language model training, artificial intelligence inference, and machine learning, and they are utilized by end users including information technology, telecommunications, and healthcare.
Tariffs are influencing the data center artificial intelligence (AI) chips market by increasing the cost of semiconductor manufacturing equipment, advanced chip components, and supply chain operations required for AI processor production. These trade restrictions are affecting AI accelerators, graphics processing units, and application-specific integrated circuits, particularly in regions such as Asia-Pacific, North America, and Europe that depend on global semiconductor manufacturing networks. Hardware-intensive segments, including AI training chips, high-bandwidth memory technologies, and hyperscale data center deployments, are experiencing higher cost pressures due to import dependencies. However, tariffs are also encouraging domestic semiconductor manufacturing, regional supply chain diversification, and investments in local AI chip development ecosystems.
The data-center artificial intelligence (ai) chips market research report is one of a series of new reports from The Business Research Company that provides data-center artificial intelligence (ai) chips market statistics, including data-center artificial intelligence (ai) chips industry global market size, regional shares, competitors with a data-center artificial intelligence (ai) chips market share, detailed data-center artificial intelligence (ai) chips market segments, market trends and opportunities, and any further data you may need to thrive in the data-center artificial intelligence (ai) chips industry. This data-center artificial intelligence (ai) chips 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 data-center artificial intelligence (ai) chips market size has grown rapidly in recent years. It will grow from $15.37 billion in 2025 to $18.4 billion in 2026 at a compound annual growth rate (CAGR) of 19.7%. The growth during the historic period was driven by increasing adoption of artificial intelligence applications, rising demand for cloud-based AI services, growing expansion of data center infrastructure, increasing requirement for high-performance computing, and rising deployment of machine learning workloads.
The data-center artificial intelligence (ai) chips market size is expected to see rapid growth in the next few years. It will grow to $37.29 billion in 2030 at a compound annual growth rate (CAGR) of 19.3%. The growth during the forecast period is attributed to increasing demand for generative AI processing, growing need for AI inference optimization, rising adoption of specialized AI accelerators, increasing investments in AI-focused data centers, and growing requirement for energy-efficient AI computing solutions. Major trends in the forecast period include increasing development of high-performance AI accelerator chips, growing adoption of energy-efficient AI semiconductor architectures, rising integration of advanced memory technologies for AI processing, increasing demand for AI chip scalability in data center environments, and growing focus on advanced chip packaging for AI workloads.
The expansion of 5G infrastructure and connectivity is expected to propel the growth of the data-center artificial intelligence (AI) chips market going forward. 5G infrastructure and connectivity refer to the network hardware, software, and communication technologies that enable ultra-fast, low-latency, and high-capacity wireless connectivity for devices, applications, and services. The expansion of 5G infrastructure and connectivity is being driven by the rising demand for high-speed, low-latency wireless communication to support data-intensive applications and an increasing number of connected devices. Data-center AI chips facilitate 5G infrastructure by enabling real-time data processing, network optimization, edge computing, and AI-powered analytics needed to manage the vast amounts of data generated across 5G networks. For instance, in May 2025, according to Ericsson, a Sweden-based telecommunications company, 5G mobile subscriptions are expected to increase from 1.62 billion in 2023 to 6.29 billion by 2030. Therefore, the expansion of 5G infrastructure and connectivity is driving the growth of the data-center artificial intelligence (AI) chips market.
Major companies operating in the data-center artificial intelligence (AI) chips market are concentrating on developing advanced chip architectures, including AI computing platforms, to improve computational performance, increase energy efficiency, and support increasingly sophisticated generative AI workloads. AI computing platforms integrate specialized AI processors, high-speed interconnects, and optimized software to perform large-scale AI training and inference tasks more efficiently than conventional computing systems. For instance, in March 2024, NVIDIA Corporation, a US-based technology company, introduced the Blackwell platform, a next-generation accelerated computing architecture designed to enable real-time generative AI for trillion-parameter large language models. The platform is built on the Blackwell GPU architecture, incorporating six breakthrough technologies for accelerated computing while delivering up to 25 times lower cost and energy consumption than its predecessor. Blackwell is engineered to support advanced applications such as data processing, engineering simulation, electronic design automation, computer-aided drug discovery, quantum computing, and generative AI workloads in data center environments.
In August 2024, AMD, a US-based semiconductor company, acquired Silo AI for approximately $665 million. Through this acquisition, AMD intends to enhance its end-to-end data center AI capabilities by integrating Silo AI's expertise in AI model development, deployment, and software optimization, accelerating AI solutions designed for AMD-powered data center AI chips while expanding its enterprise AI portfolio. Silo AI is a Finland-based artificial intelligence company that develops AI models, platforms, and enterprise AI solutions optimized for high-performance computing and data center environments.
Major companies operating in the data-center artificial intelligence (ai) chips market are NVIDIA Corporation, Broadcom Inc., Advanced Micro Devices Inc, Intel Corporation, Alphabet Inc., Amazon.com Inc., Microsoft Corporation, Qualcomm Incorporated, Cerebras Systems Inc., SambaNova Systems Inc., Tenstorrent Inc., Groq Inc., Biren Technology Co. Ltd., MetaX Integrated Circuits, Huawei Technologies Co. Ltd., Alibaba Group Holding Limited Holding Ltd., Cambricon Technologies, Baidu Inc., Lightmatter Inc., Esperanto Technologies Inc., Untether AI Corporation, Etched.ai Inc., Axelera AI B.V., FuriosaAI Inc., Kalray S.A., d-Matrix Corporation, MatX Inc., Rebellions Inc., Moore Threads
North America was the dominating region in the data-center artificial intelligence (AI) chips market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the data-center artificial intelligence (AI) chips market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the data-center artificial intelligence (AI) chips market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The data-center artificial intelligence (AI) chips market consists of sales of AI accelerators, tensor processing units (TPUs), neural processing units (npus), and data processing units (DPUs). The market value includes the value of related goods sold by the service provider or included within the service offering. 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, system integrators, wholesalers, distributors, cloud service providers, 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.
Data-Center Artificial Intelligence (AI) Chips 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 data-center artificial intelligence (ai) chips 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 data-center artificial intelligence (ai) chips ? 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 data-center artificial intelligence (ai) chips 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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