Delivering more actionable and strategically valuable research, The Business Research Company’s 2026 market reports feature market attractiveness analysis, total addressable market evaluation, company benchmarking matrices, interactive Excel dashboards, expanded supply chain intelligence, emerging startup coverage, and detailed product insights.
Artificial Intelligence (AI) Chipsets Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence (AI) chipsets market size has experienced substantial expansion in recent years. It is anticipated to increase from $28.08 billion in 2025 to $38.26 billion in 2026, achieving a compound annual growth rate (CAGR) of 36.2%. The historical development in this market can be ascribed to the rise of machine learning applications, the initial adoption of GPUs for AI workloads, the growth of data centers, escalating computational requirements, and advancements in semiconductor design.
The artificial intelligence (AI) chipsets market size is projected to experience substantial growth over the next few years. It is anticipated to reach $131.1 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 36.1%. This expansion during the forecast period is primarily fueled by the increasing adoption of edge computing, a rising demand for low-power AI chips, the broadening scope of autonomous systems, escalating AI workloads across various industries, and significant investments in next-generation semiconductors. Prominent trends expected in this period include the emergence of high-performance AI accelerators, the development of energy-efficient AI processing units, advancements in edge AI chipset technology, specialized AI inference hardware, and the widespread integration of AI chips into end-user devices.
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Artificial Intelligence (AI) Chipsets Market Development Factors: Which Trends Are Supporting Demand?
The increasing need for self-driving cars is expected to drive the growth of the artificial intelligence (AI) chipsets market in the future. An autonomous vehicle, also referred to as a driverless car, can operate and perform essential activities without human involvement due to its ability to perceive its environment. Artificial intelligence (AI) chipsets are crucial for autonomous vehicles as they provide the processing power, machine learning capabilities, and real-time decision-making necessary for secure and efficient self-driving experiences. For instance, in February 2024, data from the California Department of Motor Vehicles (DMV), a US-based state regulator, showed that companies with autonomous-vehicle testing permits in California recorded over 9,068,861 test miles between December 2022 and November 2023. Consequently, the rising demand for autonomous vehicles is fueling the expansion of the artificial intelligence (AI) chipset market.
Artificial Intelligence (AI) Chipsets Market Segmentation Trends And Revenue Drivers
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 Trends Influencing Long-Term Demand
Leading companies in the artificial intelligence (AI) chipsets market are developing new offerings, such as AI accelerators, to secure a competitive edge. An AI accelerator, also known as a neural processing unit (NPU), is specialized hardware or software crafted to significantly boost AI workloads, particularly deep learning tasks. For instance, in December 2023, Intel Corporation, a US-based semiconductor firm, introduced AI-centric products, including the Intel Core Ultra mobile processor and the 5th Gen Intel Xeon processors. These introductions aim to broaden Intel’s AI offerings, bringing improved AI functionalities to various computing settings, such as data centres, the cloud, networks, edge devices, and personal computers. The Intel Core Ultra mobile processor represents a major architectural change, bringing advancements in CPU computation, graphics, energy efficiency, and AI functionalities, while the 5th Gen Intel Xeon processors feature AI acceleration in every core for better performance and efficiency in data centre and business applications. Additionally, Intel previewed Gaudi3, a forthcoming AI accelerator tailored for generative AI models. These new products are part of Intel’s broader strategy to ensure AI is widespread and easily accessible across diverse computing platforms.
#Artificial Intelligence (AI) Chipsets Market Industry Leaders: Which Organizations Are Driving Competition?
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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Artificial Intelligence (AI) Chipsets Market Largest Region By Revenue And Market Share
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.