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Data-Center Artificial Intelligence (AI) Chips Market Growth Analysis: How Will Revenue Trend Over The Forecast Period?
The market size for data-center artificial intelligence (ai) chips has witnessed rapid growth in recent years. This market is projected to expand from $15.37 billion in 2025 to $18.4 billion in 2026, achieving a compound annual growth rate (CAGR) of 19.7%. The historical growth can be attributed to several factors, including the increasing adoption of artificial intelligence applications, rising demand for cloud based AI services, growing expansion of data center infrastructure, an increasing requirement for high performance computing, and the rising deployment of machine learning workloads.
The data-center artificial intelligence (ai) chips market is poised for substantial expansion over the next few years, with its size expected to reach $37.29 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 19.3%. This projected growth throughout the forecast period is primarily driven by factors such as the increasing demand for generative AI processing, a growing need for AI inference optimization, the rising adoption of specialized AI accelerators, increased investments in AI-focused data centers, and an evolving requirement for energy-efficient AI computing solutions. Furthermore, significant trends during this period include the accelerated development of high-performance AI accelerator chips, the broader implementation of energy-efficient AI semiconductor architectures, the enhanced integration of advanced memory technologies for AI processing, a heightened demand for AI chip scalability in data center environments, and an increasing focus on sophisticated chip packaging for AI workloads.
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Data-Center Artificial Intelligence (AI) Chips Market Opportunity Drivers: What’s Unlocking New Revenue Potential?
The market for data-center artificial intelligence (AI) chips is anticipated to see growth driven by the proliferation of 5G infrastructure and its associated connectivity. This 5G infrastructure and connectivity encompasses the network hardware, software, and communication technologies facilitating extremely fast, low-delay, and robust wireless connections for various devices, applications, and services. The growing need for rapid, low-latency wireless communication to power data-heavy applications and interconnected devices is fueling the advancement of 5G infrastructure and connectivity. Data-center AI chips play a crucial role in bolstering 5G infrastructure, offering capabilities such as real-time data processing, network optimization, edge computing, and AI-powered analytics essential for handling the immense data volumes produced across 5G networks. An example illustrating this trend is Telefonaktiebolaget LM Ericsson, a telecommunications firm based in Sweden, which forecasted in May 2025 that 5G mobile subscriptions would surge from 1.62 billion in 2023 to 6.29 billion by 2030. Consequently, the ongoing development of 5G infrastructure and connectivity is a primary catalyst for the expansion of the data-center artificial intelligence (AI) chips market.
Data-Center Artificial Intelligence (AI) Chips Market Segments: Where Is Growth Concentrated?
The data-center artificial intelligence (ai) chips market covered in this report is segmented –
1) By Chip Type: Graphics Processing Units, Application Specific Integrated Circuits, Tensor Processing Units
2) By Memory Technology: High Bandwidth Memory, Double Data Rate Memory, Graphics Double Data Rate Memory
3) By Deployment Type: Cloud Data Centers, Hyperscale Data Centers, Enterprise Data Centers
4) By Application: Large Language Model Training, Artificial Intelligence Inference, Machine Learning
5) By End Use: Information Technology, Telecommunications, Healthcare
Subsegments:
1) By Graphics Processing Units: Data Center Graphics Processing Units, Artificial Intelligence Training Graphics Processing Units, Artificial Intelligence Inference Graphics Processing Units
2) By Application Specific Integrated Circuits: Artificial Intelligence Training Application Specific Integrated Circuits, Artificial Intelligence Inference Application Specific Integrated Circuits, Neural Network Application Specific Integrated Circuits
3) By Tensor Processing Units: Cloud Tensor Processing Units, Training Tensor Processing Units, Inference Tensor Processing Units
Data-Center Artificial Intelligence (AI) Chips Market Innovation Trends Shaping Future Development
Leading companies active in the data-center artificial intelligence (AI) chips market are concentrating on developing advanced chip architectures, such as AI computing platforms, to improve computational performance, boost energy efficiency, and support increasingly intricate generative AI workloads. These AI computing platforms integrate specialized AI processors, high-speed interconnects, and optimized software to execute large-scale AI training and inference tasks more efficiently than traditional computing systems. For instance, in March 2024, NVIDIA Corporation, a US-based technology company, unveiled the Blackwell platform, a next-generation accelerated computing architecture engineered to power real-time generative AI on trillion-parameter large language models. The platform features the Blackwell GPU architecture, which incorporates six breakthrough technologies for accelerated computing and provides up to 25 times lower cost and energy consumption compared to its predecessor. Blackwell is designed to support sophisticated applications, including data processing, engineering simulation, electronic design automation, computer-aided drug discovery, quantum computing, and generative AI workloads in data center environments.
Data-Center Artificial Intelligence (AI) Chips Market Key Participants And Competitive Landscape
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
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Data-Center Artificial Intelligence (AI) Chips Market Geographic Spread And Regional Opportunities
North America was the largest region in the data-center artificial intelligence (AI) chips market in 2025. Asia-Pacific is expected to be the fastest-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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.