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市場調查報告書
商品編碼
1941317
資料中心晶片市場報告:按晶片類型、資料中心規模、產業垂直領域和地區分類,2026-2034 年Data Center Chip Market Report by Chip Type, Data Center Size, Industry Vertical, and Region 2026-2034 |
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2025年全球資料中心晶片市場規模達121億美元。展望未來,IMARC Group預測,到2034年,該市場規模將達到188億美元,2026年至2034年的複合年成長率為5.00%。推動該市場成長要素包括資訊科技(IT)產業的持續擴張、技術的不斷創新、主要企業的大規模研發活動以及半導體製造中5奈米製程的採用。
對雲端服務和巨量資料分析的需求不斷成長
微軟 Azure、亞馬遜雲端服務 (AWS) 和Google雲端等雲端服務供應商不斷擴展基礎設施,推動了市場成長。此外,對用於儲存、管理和處理大量資訊的資料中心的需求日益成長,也進一步促進了資料中心晶片市場的發展。例如,亞馬遜雲端服務發布了一款供應鏈管理應用程式,使企業無需使用多個系統和供應商即可存取關鍵網路資料。 AWS Supply Chain 是一款基於機器學習的應用程式,可自動整合和分析跨多個供應鏈系統的數據,建構「統一數據湖」。此外,IBM 於 2023 年 5 月發布了“IBM Hybrid Cloud Mesh”,這是一項旨在管理混合多重雲端基礎架構的 SaaS 服務。
物聯網和邊緣運算的興起
邊緣資料中心的日益普及,能夠即時處理和分析物聯網設備(例如智慧穿戴設備、感測器和連網家電)產生的數據,從而積極推動了資料中心晶片的需求。此外,這些元件的廣泛應用,例如增強資料安全性、降低延遲和加快決策速度,也是推動資料中心晶片成長要素。例如,根據GSMA Intelligence的數據,全球5G市場滲透率預計將從2020年的3%成長到2030年的64%。此外,作為「數位印度」計畫的一部分,印度政府計劃在全國推廣物聯網。政府已撥款700億盧比,在全國範圍內建設100個智慧城市,這些城市將利用物聯網設備。政府計劃利用物聯網感測器收集數據,用於交通控制、提高水力發電利用效率、醫療保健和其他服務。
人工智慧和機器學習應用的成長
對用於人工智慧和機器學習演算法的先進資料中心晶片的需求不斷成長,這些晶片能夠處理和分析海量資料集,從而積極推動市場成長。此外,人工智慧和機器學習在醫療保健、零售、金融和自動駕駛汽車等各行業的日益普及,也推動了效率提升和數據驅動決策的實現。例如,2023年4月, Oracle和GitLab宣布推出一項新服務,擴展了機器學習和人工智慧功能。客戶現在可以使用Oracle雲端基礎設施(OCI)上的GPU加速GitLab Runner運行人工智慧和機器學習工作負載,從而可以根據需要將雲端服務部署到任何位置,包括本地和多重雲端環境。此外,Inflection AI成功完成了迄今為止人工智慧和機器學習領域規模最大的資金籌措之一(總額達2.25億美元)。作為一家知名的機器學習和人工智慧Start-Ups,該公司有望推動機器學習技術的進步,在不久的將來實現直覺的人機互動介面。
The global data center chip market size reached USD 12.1 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 18.8 Billion by 2034, exhibiting a growth rate (CAGR) of 5.00% during 2026-2034. The market is primarily driven by the expanding information technology (IT) industry, the continuous technological advancements, the extensive research and development (R&D) efforts by the leading players, and the introduction of the five-nanometer process for semiconductor manufacturing.
The Increasing Demand for Cloud Services and Big Data Analytics
The expanding infrastructure of cloud service providers, such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud is propelling the market growth. Besides this, the escalating demand for data centers to store, manage, and process large amounts of information is further stimulating the data center chip market growth. For instance, Amazon Web Services Inc. has launched a supply chain management application that would eliminate the requirement for businesses to utilize multiple systems and vendors to access critical network data. AWS Supply Chain is a machine learning-powered application that automatically combines and analyzes data across numerous supply chain systems, creating a "unified data lake." Moreover, in May 2023, IBM unveiled IBM Hybrid Cloud Mesh, a SaaS offering that was developed to facilitate enterprises to obtain management to their hybrid multi-cloud infrastructure.
Expanding IoT and Edge Computing
The growing popularity of edge data centers to process and analyze the data generated from IoT devices, such as smart wearables, sensors, and connected appliances in real-time is positively influencing the data center chip market demand. Moreover, the extensive utilization of these components to enhance data security, reduce latency, and enable faster decision-making is acting as another significant growth-inducing factor. For instance, according to the data from GSMA Intelligence, the 5G market penetration worldwide is expected to increase from 3% in 2020 to 64% in 2030. Additionally, as part of the Digital India initiative, the Government of India has planned to give IoT a push in the country. The government has allocated INR 7,000-crore funds to develop 100 smart cities in the country powered by IoT devices. The government intends to control traffic, efficiently use water and power, and collect data using IoT sensors for healthcare and other services.
Growth of AI and Machine Learning Applications
The escalating demand for advanced data center chips in AI and ML algorithms to process and analyze vast amounts of datasets is positively influencing the market growth. Besides this, the incorporation of AI and ML across various industries, such as healthcare, retail, finance, and autonomous vehicles to improve efficiency and make data-driven decisions is also bolstering the market growth. For instance, in April 2023, Oracle Corporation and GitLab Inc. announced the availability of a new offering that expands ML and AI functionalities. Customers can run AI and ML workloads with GPU-enabled GitLab runners on Oracle Cloud Infrastructure (OCI) and get access to deploy cloud services wherever needed, including on-premises and multi-cloud environments. Moreover, Inflection AI secured one of the largest artificial machine learning funding rounds, totaling US$ 225 Million. It is referred to as a machine learning and AI startup. It is expected to improve machine learning, allowing for intuitive human-computer interfaces in the near future.
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share, owing to the increasing urbanization and industrialization activities and the development of efficient and reliable telecommunications infrastructure. Besides this, the strict adherence of consumers and businesses to data privacy and security standards is also propelling the data center chip market growth in this region. For instance, with the introduction of faster network alternatives, such as 5G and extensive fiber connectivity supporting technologies like FWA, data consumption through smartphones increased from 1.8 GB to about 8.5 GB. This consumption is expected to further increase to more than 64 GB by 2029. Moreover, NetIX, the Bulgarian global platform, partnered with data center company eStruxture to provide global connectivity solutions in Canada. According to eStruxture, the collaboration would enable customers to access all of NetIX's global locations, Internet Exchange Points (IXPs), and NetIX's Global Internet Exchange (GIX) peering solutions directly from any one of eStruxture's data centers through the Tunnelling over Internet (ToI) service.
The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key 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 major market players in the Data Center Chip industry include: