市场调查报告书
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1519403
2024-2032年按晶片类型、技术、处理类型、应用、垂直产业和地区分類的人工智慧晶片市场报告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场规模达188亿美元。汽车产业的应用不断增长、对人工智慧机器的需求不断增加以及对神经拟态研究活动的投资不断增加,是推动市场发展的一些关键因素。
人工智慧 (AI) 晶片专门设计用于透过程式框架运行机器学习 (ML) 工作负载。它们包括现场可程式闸阵列 (FPGA)、图形处理单元 (GPU) 和专用积体电路 (ASIC)。它们还包含人工智慧优化的功能,可以加速人工智慧演算法所需的运算和运算任务。它们依赖小型晶体管,与大型晶体管相比,小型晶体管运行速度更快,消耗的能量更少。它们专为使用人工神经网路 (ANN) 的应用程式而设计,人工神经网路是一种受人脑启发的机器学习 (ML) 方法。它们可以透过同时处理多个资讯流来执行高度复杂和动态的任务。它们消除了依赖云端储存资料的需要,因为这些晶片可以在设备本地运行人工智慧程式。由于人工智慧晶片提供自然语言处理 (NLP)、电脑视觉、机器人技术和网路安全,因此它们在全球汽车、资讯和技术 (IT)、医疗保健和零售业都有应用。
目前,汽车产业越来越多地采用人工智慧技术来製造无人驾驶汽车并实现L5级自动驾驶技术,这是支撑市场成长的关键因素之一。除此之外,对支援人工智慧的机器在世界各地充满挑战的情况下执行各种任务的需求也在增加。随着人们对开发人类感知人工智慧系统的日益关注,这提供了良好的市场前景。此外,主要参与者正在投资神经形态研究活动,以开发受大脑功能中真实神经元启发的技术。他们也利用人工智慧和机器学习(ML)来设计下一代人工智慧晶片,这有助于市场的成长。此外,笔记型电脑、桌上型电脑和游戏机等消费性电子产品对人工智慧晶片的需求不断增长,为产业投资者提供了利润丰厚的成长机会。除此之外,全球各产业对先进技术的使用增加,例如电脑视觉、巨量资料、扩增实境(AR)和虚拟实境(VR)。再加上越来越多地利用量子计算技术来解决复杂问题并执行分析计算,正在对市场产生积极影响。
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.