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市場調查報告書
商品編碼
1520447
2024-2032 年按技術(系統單晶片、系統級封裝、多晶片模組等)、晶片類型、垂直產業和地區分類的機器學習晶片市場報告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年全球機器學習晶片市場規模達97億美元。量子運算的迅速興起、對解決運算問題的高效系統的需求不斷增加以及智慧城市和智慧家庭的不斷發展是推動市場的一些關鍵因素。
機器學習 (ML) 晶片包含人工智慧 (AI) 技術,旨在支援基於深度學習的應用。它涉及系統單晶片(SoC)、多晶片模組、系統級封裝等多種技術,其硬體基礎設施包括運算、儲存和網路。它安裝在系統中以增強智慧財產權核心並改善設計和工具流程。它具有成本效益,有助於防止工作流程中的錯誤,並有效保存大量資料。與較大的電晶體相比,它提供高速度、提高效率並且消耗更少的能量。除此之外,它還有助於提高效能、功耗、最佳化和分析。因此,機器學習晶片廣泛應用於全球汽車、醫療保健、零售、媒體和廣告、資訊科技 (IT) 和電信、以及銀行、金融服務和保險 (BFSI) 產業。
目前,全球IT和電信產業數位化和擴張的趨勢不斷上升,是支持市場成長的關鍵因素之一。此外,越來越多的網路攻擊鼓勵企業利用資料庫管理和詐欺偵測系統,這推動了市場的成長。除此之外,全球智慧城市和智慧家庭的發展對機器學習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。此外,量子運算的日益興起,以及機器學習晶片在機器人技術中的應用,以減少世界各地的人為干預和錯誤,正在對市場產生積極影響。除此之外,由於對解決數學和計算問題的高效系統的需求不斷成長,機器學習晶片的採用日益增多,這提供了積極的市場前景。此外,巨量資料分析和雲端運算的不斷整合,為全球眾多產業提供增強的服務,也促進了市場的成長。再加上機器學習晶片擴大用於即時消費者行為洞察,正在推動市場的成長。此外,在遊戲產業中,人們越來越傾向於使用 GPU 來執行多項複雜任務,這也推動了市場的成長。
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.