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市场调查报告书
商品编码
1520447
2024-2032 年按技术(系统单晶片、系统级封装、多晶片模组等)、晶片类型、垂直产业和地区分類的机器学习晶片市场报告Machine Learning Chip Market Report by Technology (System-on-Chip, System-in-Package, Multi-chip Module, and Others), Chip Type, Industry Vertical, and Region 2024-2032 |
IMARC Group年全球机器学习晶片市场规模达97亿美元。量子运算的迅速兴起、对解决运算问题的高效系统的需求不断增加以及智慧城市和智慧家庭的不断发展是推动市场的一些关键因素。
机器学习 (ML) 晶片包含人工智慧 (AI) 技术,旨在支援基于深度学习的应用。它涉及系统单晶片(SoC)、多晶片模组、系统级封装等多种技术,其硬体基础设施包括运算、储存和网路。它安装在系统中以增强智慧财产权核心并改善设计和工具流程。它具有成本效益,有助于防止工作流程中的错误,并有效保存大量资料。与较大的电晶体相比,它提供高速度、提高效率并且消耗更少的能量。除此之外,它还有助于提高效能、功耗、最佳化和分析。因此,机器学习晶片广泛应用于全球汽车、医疗保健、零售、媒体和广告、资讯科技 (IT) 和电信、以及银行、金融服务和保险 (BFSI) 产业。
目前,全球IT和电信产业数位化和扩张的趋势不断上升,是支持市场成长的关键因素之一。此外,越来越多的网路攻击鼓励企业利用资料库管理和诈欺侦测系统,这推动了市场的成长。除此之外,全球智慧城市和智慧家庭的发展对机器学习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。此外,量子运算的日益兴起,以及机器学习晶片在机器人技术中的应用,以减少世界各地的人为干预和错误,正在对市场产生积极影响。除此之外,由于对解决数学和计算问题的高效系统的需求不断增长,机器学习晶片的采用日益增多,这提供了积极的市场前景。此外,巨量资料分析和云端运算的不断集成,为全球众多产业提供增强的服务,也促进了市场的成长。再加上机器学习晶片越来越多地用于即时消费者行为洞察,正在推动市场的成长。此外,在游戏产业中,人们越来越倾向于使用 GPU 来执行多项复杂任务,这也推动了市场的成长。
The global machine learning chip market size reached US$ 9.7 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 62.1 Billion by 2032, exhibiting a growth rate (CAGR) of 22.4% during 2024-2032. The rapid emergence of quantum computing, increasing demand for efficient systems to solve computational problems, and rising development of smart cities and smart homes represent some of the key factors driving the market.
Machine learning (ML) chip comprises artificial intelligence (AI) technology that that is designed to support deep learning-based applications. It involves various technologies, such as system-on-chip (SoC), multi-chip module, and system-in-package, and its hardware infrastructure includes computing, storing, and networking. It is installed in a system to enhance intellectual property cores and improve design and tool flows. It is cost-effective and assists in preventing errors in a workflow, and efficiently saves a huge amount of data. It offers high speed, increases efficiency, and consumes less energy as compared to larger transistors. Besides this, it aids in improving performance, power, optimization, and analytics. As a result, the ML chip is widely employed in the automotive, healthcare, retail, media and advertising, information technology (IT) and telecommunication, and banking, financial services, and insurance (BFSI) industries across the globe.
At present, the rising trend of digitalization and expansion of the IT and telecommunication industry around the world represent one of the key factors supporting the growth of the market. In addition, the increasing number of cyber-attacks encourages businesses to utilize database management and fraud detection systems, which is propelling the growth of the market. Apart from this, the rising demand for ML chips due to the development of smart cities and smart homes across the globe is offering lucrative growth opportunities to industry investors. Moreover, the increasing emergence of quantum computing, along with the implementation of ML chips in robotics to reduce human intervention and errors around the world, is positively influencing the market. Besides this, the growing adoption of ML chips on account of the escalating demand for efficient systems to solve mathematical and computational problems is offering a positive market outlook. Additionally, the rising integration of big data analytics and cloud computing to provide enhanced services among numerous industries across the globe is contributing to the growth of the market. This, coupled with the increasing utilization of ML chips for real-time consumer behavior insights, is impelling the growth of the market. Furthermore, the rising preference toward GPUs from CPUs to perform several complex tasks in the gaming industry is strengthening the market growth.
IMARC Group provides an analysis of the key trends in each sub-segment of the global machine learning chip market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on technology, chip type and industry vertical.
System-on-Chip (SoC)
System-in-Package
Multi-chip Module
Others
The report has provided a detailed breakup and analysis of the machine learning chip market based on the technology. This includes system-on-chip (SoC), system-in-package, multi-chip module, and others. According to the report, system-on-chip (SoC) represented the largest segment.
GPU
ASIC
FPGA
CPU
Others
A detailed breakup and analysis of the machine learning chip market based on the chip type has also been provided in the report. This includes GPU, ASIC, FPGA, CPU, and others. According to the report, GPU accounted for the largest market share.
BFSI
IT and Telecom
Media and Advertising
Retail
Healthcare
Automotive
Others
A detailed breakup and analysis of the machine learning chip market based on the industry vertical has also been provided in the report. This includes BFSI, IT and telecom, media and advertising, retail, healthcare, automotive, 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 machine learning chip. Some of the factors driving the North America machine learning chip market included the growing concern about security of critical infrastructure, increasing demand for quantum computing, rising utilization in the IT industry, etc.
The report has also provided a comprehensive analysis of the competitive landscape in the global machine learning 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., Amazon Web Services Inc. (Amazon.com Inc.), Cerebras Inc., Google LLC, Graphcore, Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics Co. Ltd., Taiwan Semiconductor Manufacturing Company Limited., etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.