Data-Center Artificial Intelligence (AI) Chips Market Global Report 2026

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.

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