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Artificial Intelligence (AI) Chipsets Market Value Growth And Long-Term Outlook
The artificial intelligence (AI) chipsets market has witnessed significant expansion in recent years. It is projected to grow from $28.08 billion in 2025 to $38.26 billion in 2026 at a compound annual growth rate (CAGR) of 36.2%. The historical increase can be attributed to several factors, including the proliferation of machine learning applications, the early adoption of GPUs for AI tasks, the expansion of data centers, escalating computational needs, and progress in semiconductor development.
The artificial intelligence (AI) chipsets market is projected to experience substantial growth over the next few years. It is expected to expand to a value of $131.1 billion by 2030, achieving a compound annual growth rate (CAGR) of 36.1%. This growth during the forecast period can be attributed to the increasing adoption of edge computing, a demand for low power AI chips, the expansion of autonomous systems, rising AI workloads across various industries, and investments in next-generation semiconductors. Key trends for this period include high performance AI accelerators, energy efficient AI processing units, the development of edge AI chipsets, specialized AI inference hardware, and the integration of AI chips into end devices.
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Artificial Intelligence (AI) Chipsets Market Growth Factors: What’s Supporting Expansion?
The increasing need for self-driving cars is projected to boost the artificial intelligence (AI) chipsets market in the future. These driverless vehicles can perform crucial tasks and navigate their surroundings without human intervention, thanks to their ability to recognize their environment. AI chipsets are vital for autonomous vehicles, providing the necessary processing power, machine learning functionalities, and instant decision-making abilities for secure and efficient operation. For example, in February 2024, the California Department of Motor Vehicles (DMV), a US-based state regulator, indicated that firms holding autonomous-vehicle testing permits in California accumulated over 9,068,861 test miles between December 2022 and November 2023. Consequently, the growing demand for autonomous vehicles is fueling the expansion of the artificial intelligence (AI) chipset market.
Artificial Intelligence (AI) Chipsets Market Segment Analysis And Revenue Potential
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: What’s Reshaping Demand?
Leading companies in the artificial intelligence (AI) chipsets market are developing innovative products, such as AI accelerators, to secure a competitive edge. An AI accelerator, also known as a neural processing unit (NPU), refers to specialized hardware or software engineered to significantly boost AI workloads, particularly those involving deep learning. For instance, in December 2023, the US-based semiconductor firm Intel Corporation unveiled new AI-centric offerings, including the Intel Core Ultra mobile processor and the 5th Gen Intel Xeon processors. These developments are intended to expand Intel’s AI product range, delivering improved AI functionalities across various computing settings such as data centers, cloud platforms, networks, edge devices, and personal computers. The Intel Core Ultra mobile processor signifies a major architectural change, introducing advancements in CPU processing, graphics, energy efficiency, and AI features, while the 5th Gen Intel Xeon processors integrate AI acceleration into each core for better performance and efficiency in data center and business applications. Furthermore, Intel offered a glimpse of Gaudi3, an upcoming AI accelerator designed for generative AI models. These new products align with Intel’s strategy to embed AI widely and make it readily available across diverse computing platforms.
Artificial Intelligence (AI) Chipsets Market Key Players Shaping Industry Direction
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 Top 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.
