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市場調查報告書
商品編碼
2024639
機器學習晶片市場報告:按技術、晶片類型、產業和地區分類(2026-2034 年)Machine Learning Chip Market Report by Technology (System-on-Chip, System-in-Package, Multi-chip Module, and Others), Chip Type, Industry Vertical, and Region 2026-2034 |
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2025年,全球機器學習晶片市場規模達145億美元。展望未來,IMARC Group預測,到2034年,該市場規模將達到772億美元,2026年至2034年的複合年成長率(CAGR)為19.82%。量子運算的快速發展、對高效運算問題解決方案系統日益成長的需求,以及智慧城市和智慧家庭的進步,是推動這一市場成長的主要因素。
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。這涵蓋了多種技術,例如系統晶片(SoC)、多晶片模組和系統級封裝),其硬體基礎設施包括運算、儲存和網路功能。這些技術被整合到系統中,以增強智慧財產權 (IP) 核心並改善設計和工具流程。它們經濟高效,有助於防止工作流程中的錯誤,並能高效儲存大量資料。與更大的電晶體相比,它們具有速度更快、效率更高、功耗更低等優點。此外,它們還有助於提高效能、能源效率、最佳化和分析能力。因此,機器學習晶片已在全球廣泛應用於汽車、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) 等行業。
目前,全球數位化進程的推進以及IT和電信產業的擴張是市場成長的主要驅動力。此外,網路攻擊的增加促使企業採用資料庫管理和詐欺偵測系統,從而推動了市場成長。同時,隨著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極具吸引力的成長機會。此外,量子運算的興起以及機器學習晶片在全球機器人領域的應用(旨在減少人為干預和錯誤)也對市場產生了積極影響。此外,對高效系統解決數學和計算問題的需求不斷成長,也促使機器學習晶片的應用日益廣泛,從而提振了市場前景。此外,巨量資料分析和雲端運算的日益融合,為全球眾多產業提供更先進的服務,也促進了市場成長。此外,機器學習晶片在即時洞察消費者行為方面的廣泛應用也推動了市場成長。遊戲產業從CPU轉向GPU以處理複雜任務,也增強了市場成長。
The global machine learning chip market size reached USD 14.5 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 77.2 Billion by 2034, exhibiting a growth rate (CAGR) of 19.82% during 2026-2034. 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.
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.
Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.