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市場調查報告書
商品編碼
2032923
人工智慧(AI)晶片市場規模、佔有率、趨勢和預測:按晶片類型、技術、加工方法、應用、產業和地區分類(2026-2034 年)Artificial Intelligence Chip Market Size, Share, Trends and Forecast by Chip Type, Technology, Processing Type, Application, Industry Vertical, and Region 2026-2034 |
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2025年全球人工智慧(AI)晶片市場規模為296億美元。展望未來,IMARC Group預測,該市場將以22.82%的複合年成長率(CAGR)從2026年成長至2034年,到2034年達到1979億美元。北美在AI晶片市場佔據主導地位,市佔率高達32.1%。該地區的成長動力主要來自機器學習的快速發展、對雲端應用的高需求、對AI新創公司投資的不斷增加以及這些晶片在各行業的廣泛應用。
人工智慧 (AI) 晶片專為透過程式框架運行機器學習 (ML) 工作負載而設計。它們由現場可程式閘陣列(FPGA)、圖形處理器 (GPU) 和專用積體電路 (ASIC) 組成。這些晶片還具備 AI 最佳化功能,可加速 AI 演算法所需的運算和處理任務。與大型電晶體相比,AI 晶片採用小型電晶體,可實現更快的處理速度和更低的功耗。它們專為利用人工神經網路 (ANN) 的應用而設計,人工神經網路是一種受人腦啟發的機器學習 (ML) 技術。透過同時處理多個資訊流,它們可以執行高度複雜和動態的任務。此外,這些晶片可以在設備本地運行 AI 程序,無需依賴雲端進行資料儲存。 AI 晶片提供自然語言處理 (NLP)、電腦視覺、機器人技術和網路安全等功能,目前已在全球汽車、資訊科技 (IT)、醫療保健和零售等行業中廣泛應用。
目前,汽車產業在自動駕駛汽車製造和L5級自動駕駛技術實現方面對人工智慧技術的日益普及,是推動市場成長的主要動力之一。此外,全球對能夠在複雜環境下執行各種任務的人工智慧設備的需求也在不斷成長。加之人們越來越關注開發具有人類感知能力的人工智慧系統,市場前景一片光明。此外,領先企業正在投資神經形態研究,以開發受大腦神經元功能啟發的技術。他們也正在利用人工智慧和機器學習(ML)設計下一代人工智慧晶片,這也有助於市場成長。此外,筆記型電腦、桌上型電腦和遊戲機等家用電子電器對人工智慧晶片的需求不斷成長,也為產業投資者提供了極具吸引力的成長機會。另一方面,電腦視覺、巨量資料、擴增實境(AR)和虛擬實境(VR)等先進技術在全球各行各業的應用也不斷擴展。加之量子計算技術在解決複雜問題和進行分析計算方面的廣泛應用,這些因素都對市場產生了積極影響。
本報告分析了全球人工智慧晶片市場各細分領域的關鍵趨勢,並對2026年至2034年進行了全球、區域和國家層面的預測。市場細分依據晶片類型、技術、加工方法、應用和產業領域。
此外,本報告對所有主要區域市場進行了全面分析,包括北美(美國和加拿大)、亞太地區(中國、日本、印度、韓國、澳洲、印尼等)、歐洲(德國、法國、英國、義大利、西班牙、俄羅斯等)、拉丁美洲(巴西、墨西哥等)以及中東和非洲。報告指出,北美(美國和加拿大)是人工智慧晶片最大的市場。推動北美人工智慧晶片市場發展的因素包括家用電子電器中應用範圍的不斷擴大、語音指令在各種產品中的整合以及眾多市場參與者的存在。
本報告對全球人工智慧晶片市場的競爭格局進行了全面分析。報告內容包括市場結構、主要廠商的市場佔有率、各公司定位、關鍵成功策略、競爭格局概覽、公司評估象限等競爭分析。報告也提供了主要廠商的詳細公司簡介。報告涵蓋的公司包括:AMD、華為技術有限公司、英特爾公司、LG電子(LG集團)、聯發科公司、美光科技公司、Mythic公司、英偉達公司、恩智浦半導體公司、高通技術公司、SK海力士公司和東芝公司。以上僅為部分公司名單,完整名單請參閱報告。
The global artificial intelligence chip market size was valued at USD 29.6 Billion in 2025. Looking forward, IMARC Group estimates the market to reach USD 197.9 Billion by 2034, exhibiting a CAGR of 22.82% during 2026-2034. North America exhibits a clear dominance in the artificial intelligence chip market with 32.1% of the market share. This region is driven by rapid advancements in machine learning, high demand for cloud-based applications, growing investments in AI startups, and widespread adoption of these chips across various industries.
Artificial intelligence (AI) chips are specially designed to run machine learning (ML) workloads through programming frameworks. They comprise field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and application-specific integrated circuits (ASICs). They also consist of AI-optimized features, which can accelerate calculations and computing tasks required by AI algorithms. They rely on small transistors, which run faster and consume less energy as compared to large transistors. They are designed for applications that use artificial neural networks (ANN), which is a machine learning (ML) approach inspired by the human brain. They can execute tasks that are highly complex and dynamic by processing multiple streams of information simultaneously. They eliminate the need to rely on the cloud to store data, as these chips can run AI programs locally on the devices. As they offer natural language processing (NLP), computer vision, robotics, and network security, AI chips find applications in the automotive, information and technology (IT), healthcare, and retail industries across the globe.
At present, the rising adoption of AI technology in the automotive industry to manufacture driverless cars and achieve the L5 level of autonomous technology represents one of the key factors supporting the growth of the market. Besides this, there is an increase in the demand for AI-enabled machines to perform various tasks in challenging situations around the world. This, along with the growing focus on developing human-aware AI systems, is offering a favorable market outlook. In addition, key players are investing in neuromorphic research activities to develop techniques inspired by the real neurons in the brain function. They are also utilizing AI and machine learning (ML) to design the next generation of AI chips, which is contributing to the growth of the market. Moreover, the increasing demand for AI chips in consumer electronics, such as laptops, desktops, and gaming consoles, is offering lucrative growth opportunities to industry investors. Apart from this, there is a rise in the employment of advanced technologies in various industries, such as computer vision, big data, augmented reality (AR), and virtual reality (VR), across the globe. This, coupled with the growing utilization of quantum computing technologies to tackle complicated issues and perform analytical computations, is positively influencing the market.
This report provides an analysis of the key trends in each segment of the global artificial intelligence chip market, along with forecast at the global, regional, and country levels from 2026-2034. The market has been categorized based on chip type, technology, processing type, application, and industry vertical.
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America (the United States and Canada) was the largest market for artificial intelligence chip. Some of the factors driving the North America artificial intelligence chip market included the growing application in consumer electronics, integration of voice commands in various products, availability of several market players, etc.
The report has also provided a comprehensive analysis of the competitive landscape in the global artificial intelligence chip market. Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. Some of the companies covered include Advanced Micro Devices Inc., Huawei Technologies Co. Ltd., Intel Corporation, LG Electronics Inc. (LG Corporation), Mediatek Inc., Micron Technology Inc., Mythic Inc., Nvidia Corporation, NXP Semiconductors N.V., Qualcomm Technologies Inc, SK hynix Inc., Toshiba Corporation, etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.