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Artificial Intelligence (AI) Chipsets Market Value Projected To Grow At A 36.1% Compound Annual Growth Rate Through 2030
The artificial intelligence (AI) chipsets market size has experienced rapid expansion in recent years. Looking ahead, it is projected to increase from $28.08 billion in 2025 to $38.26 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 36.2%. Historically, this growth was driven by factors such as the rise of machine learning applications, the early adoption of GPUs for AI workloads, the proliferation of data centers, escalating computational requirements, and innovations in semiconductor design.
The artificial intelligence (AI) chipsets market is poised for rapid expansion in the coming years. This market is forecast to reach $131.1 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 36.1%. This projected growth during the forecast period is primarily driven by factors such as the increasing adoption of edge computing, a growing demand for low-power AI chips, the proliferation of autonomous systems, escalating AI workloads across diverse industries, and substantial investments in next-generation semiconductors. Key trends anticipated for this period encompass high-performance AI accelerators, energy-efficient AI processing units, the evolution of edge AI chipsets, specialized AI inference hardware, and the widespread integration of AI chips into end devices.
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Artificial Intelligence (AI) Chipsets Market Growth Driver Analysis For The 2026–2030 Forecast Period
The increasing need for self-driving cars is projected to drive the expansion of the artificial intelligence (AI) chipsets market in the future. A driverless car, or autonomous vehicle, operates and performs crucial functions without human intervention, thanks to its ability to perceive its surroundings. AI chipsets are crucial for autonomous vehicle functioning, providing the necessary processing power, machine learning functionalities, and instant decision-making for secure and efficient self-driving. For example, in February 2024, the California Department of Motor Vehicles (DMV), a US state regulator, stated that companies holding autonomous-vehicle testing permits in California recorded over 9,068,861 test miles between December 2022 and November 2023. Consequently, the growing requirement for autonomous vehicles is fueling the expansion of the artificial intelligence (AI) chipset market.
Artificial Intelligence (AI) Chipsets Market Segmentation Breakdown: Primary And Secondary Categories
The artificial intelligence (AI) chipsets market covered in this report is segmented –
1) By Hardware: Processor, Memory, Network
2) By Function: Training, Inference
3) By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Predictive Analysis
4) By End-User: Healthcare, Manufacturing, Automotive, Agriculture, Retail, Cybersecurity, Human Resources, Marketing, Law, Other End-Users
Subsegments:
1) By Processor: Central Processing Units (CPUs), Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), Application-Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs)
2) By Memory: Dynamic Random-Access Memory (DRAM), Flash Memory, Storage Class Memory (SCM)
3) By Network: Network Interface Cards (NICs), Routers And Switches, Wireless Communication Devices, Network Processors
Artificial Intelligence (AI) Chipsets Market Industry Trends: New Developments From Leading Companies
Major companies within the artificial intelligence (AI) chipsets market are innovating with new offerings, such as artificial intelligence (AI) accelerators, to enhance their competitive standing. An artificial intelligence (AI) accelerator, also known as a neural processing unit (NPU), is a dedicated hardware or software component engineered to significantly accelerate artificial intelligence (AI) tasks, particularly those involving deep learning. For example, in December 2023, Intel Corporation, a US-based semiconductor firm, introduced several AI-centric products, including the Intel Core Ultra mobile processor and the 5th Gen Intel Xeon processors. These innovations are designed to broaden Intel’s AI product range, bringing advanced AI functionalities to diverse computing environments such as data centres, the cloud, networks, edge devices, and personal computers. The Intel Core Ultra mobile processor marks a significant architectural evolution, incorporating improvements in CPU computing, graphics, power efficiency, and AI capabilities, while the 5th Gen Intel Xeon processors provide AI acceleration within each core for better performance and efficiency in data centre and enterprise applications. Furthermore, Intel offered a preview of Gaudi3, an upcoming AI accelerator tailored for generative AI models. These new product launches align with Intel’s broader objective to embed AI widely and make it readily available across various computing platforms.
Who Are The Top Competitors In The Artificial Intelligence (AI) Chipsets Market?
Major companies operating in the artificial intelligence (AI) chipsets market are Apple Inc.; Alphabet Inc.; Samsung Electronics Co. Ltd.; Microsoft Corporation; Huawei Technologies Corporate Limited; Intel Corp.; International Business Machines Corporation (IBM); Qualcomm Technologies; Broadcom Limited; Micron Technology Inc.; Toshiba Corporation; Nvidia Corporation; Advanced Micro Devices Inc.; Texas Instruments; MediaTek Inc.; Baidu Inc.; STMicroelectronics; Infineon Technologies; Renesas Electronics Corporation; NXP Semiconductors NV; Synopsys Inc.; Cadence Design Systems Inc.; Xilinx Inc.; Arm Holdings; Graphcore Limited; Mythic Ltd.; SambaNova Systems
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Which Region Leads The Artificial Intelligence (AI) Chipsets Market, And Which Regions Are Covered?
North America was the largest region in the artificial intelligence (AI) chipsets market in 2025. The regions covered in the artificial intelligence (AI) chipsets 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.
