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市場調查報告書
商品編碼
1519403
2024-2032年按晶片類型、技術、處理類型、應用、垂直產業和地區分類的人工智慧晶片市場報告Artificial Intelligence Chip Market Report by Chip Type, Technology, Processing Type, Application, Industry Vertical, and Region 2024-2032 |
IMARC Group年全球人工智慧晶片市場規模達188億美元。汽車產業的應用不斷成長、對人工智慧機器的需求不斷增加以及對神經擬態研究活動的投資不斷增加,是推動市場發展的一些關鍵因素。
人工智慧 (AI) 晶片專門設計用於透過程式框架運行機器學習 (ML) 工作負載。它們包括現場可程式閘陣列 (FPGA)、圖形處理單元 (GPU) 和專用積體電路 (ASIC)。它們還包含人工智慧最佳化的功能,可以加速人工智慧演算法所需的運算和運算任務。它們依賴小型電晶體,與大型電晶體相比,小型電晶體運行速度更快,消耗的能量更少。它們專為使用人工神經網路 (ANN) 的應用程式而設計,人工神經網路是一種受人腦啟發的機器學習 (ML) 方法。它們可以透過同時處理多個資訊流來執行高度複雜和動態的任務。它們消除了依賴雲端儲存資料的需要,因為這些晶片可以在設備本地運行人工智慧程式。由於人工智慧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,因此它們在全球汽車、資訊和技術 (IT)、醫療保健和零售業都有應用。
目前,汽車產業擴大採用人工智慧技術來製造無人駕駛汽車並實現L5級自動駕駛技術,這是支撐市場成長的關鍵因素之一。除此之外,對支援人工智慧的機器在世界各地充滿挑戰的情況下執行各種任務的需求也在增加。隨著人們對開發人類感知人工智慧系統的日益關注,這提供了良好的市場前景。此外,主要參與者正在投資神經形態研究活動,以開發受大腦功能中真實神經元啟發的技術。他們也利用人工智慧和機器學習(ML)來設計下一代人工智慧晶片,這有助於市場的成長。此外,筆記型電腦、桌上型電腦和遊戲機等消費性電子產品對人工智慧晶片的需求不斷成長,為產業投資者提供了利潤豐厚的成長機會。除此之外,全球各產業對先進技術的使用增加,例如電腦視覺、巨量資料、擴增實境(AR)和虛擬實境(VR)。再加上擴大利用量子計算技術來解決複雜問題並執行分析計算,正在對市場產生積極影響。
The global artificial intelligence chip market size reached US$ 18.8 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 150.4 Billion by 2032, exhibiting a growth rate (CAGR) of 25.8% during 2024-2032. The growing application in the automotive industry, increasing demand for AI-enabled machines, and rising investments in neuromorphic research activities represent some of the key factors driving the market.
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.
IMARC Group provides an analysis of the key trends in each sub-segment of the global artificial intelligence chip market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on chip type, technology, processing type, application and industry vertical.
GPU
ASIC
FPGA
CPU
Others
The report has provided a detailed breakup and analysis of the artificial intelligence chip market based on the chip type. This includes GPU, ASIC, FPGA, CPU, and others. According to the report, GPU represented the largest segment.
System-on-Chip (SoC)
System-In-Package (SIP)
Multi-Chip Module
Others
A detailed breakup and analysis of the artificial intelligence chip market based on the technology has also been provided in the report. This includes system-on-chip (SoC), system-in-package (SIP), multi-chip module, and others. According to the report, system-on-chip (SoC) accounted for the largest market share.
Edge
Cloud
A detailed breakup and analysis of the artificial intelligence chip market based on the processing type has also been provided in the report. This includes edge and cloud. According to the report, cloud accounted for the largest market share.
Natural Language Processing (NLP)
Robotics
Computer Vision
Network Security
Others
A detailed breakup and analysis of the artificial intelligence chip market based on the application has also been provided in the report. This includes natural language processing (NLP), robotics, computer vision, network security, and others. According to the report, natural language processing (NLP) accounted for the largest market share.
Media and Advertising
BFSI
IT and Telecom
Retail
Healthcare
Automotive and Transportation
Others
A detailed breakup and analysis of the artificial intelligence chip market based on the industry vertical has also been provided in the report. This includes media and advertising, BFSI, IT and telecom, retail, healthcare, automotive and transportation, and others. According to the report, BFSI accounted for the largest market share.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
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.