市場調查報告書
商品編碼
1465992
資料中心加速器市場:按處理器類型、資料中心類型、應用程式分類 - 2024-2030 年全球預測Data Center Accelerator Market by Processor Type, Data Center Type, Application - Global Forecast 2024-2030 |
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資料中心加速器市場規模預計2023年為316.8億美元,2024年達到372.1億美元,預計2030年將達到1,010.4億美元,複合年成長率為18.02%。
資料中心加速器是一類硬體設備和軟體機制,旨在提高資料中心運算過程的效能和效率。透過將加速器整合到資料中心基礎設施中,企業可以提高整體效能,減少特定任務的處理時間,並減少每個工作負載的消費量,從而節省營運和成本。隨著公司繼續依賴資料中心進行關鍵業務,對這些加速器的需求預計將會成長。造成這種情況的主要原因之一是各行業對人工智慧(AI)和機器學習(ML)的需求不斷增加。這些技術需要大量的運算能力,而加速器可以提供這一點。此外,越來越多的複雜資料集需要使用加速器來促進快速分析和得出見解。然而,由於使用資料中心加速器時的技術限制以及對資料隱私和資料安全損失的擔憂,人們對資料中心加速器的安全性、準確性和可靠性產生了擔憂。領先的公司正在尋求整合新的技術創新來應對資料隱私挑戰並確保遵守資料保護條例。此外,在全球範圍內建立邊緣和資料資料的投資正在為資料中心加速器提供新的成長途徑。
主要市場統計 | |
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基準年[2023] | 316.8億美元 |
預測年份 [2024] | 372.1億美元 |
預測年份 [2030] | 1010.4億美元 |
複合年成長率(%) | 18.02% |
資料中心類型 透過在雲端資料中心採用加速器來最佳化整體營運效率
對高效、可擴展且經濟高效的服務不斷成長的需求推動了對雲端資料中心加速器的需求。現代超大規模資料中心處理的大量資料流導致採用加速器來提高機器學習、資料分析和關鍵應用程式處理等任務的效能。加速器可實現更高的吞吐量、更低的延遲和電源效率,從而在更短的時間內處理大型資料集。在多個用戶端共用實體基礎架構的主機代管資料中心中,效能和可擴展性考量至關重要。隨著共用環境變得越來越複雜,資料加速器可以提供特定於工作負載的效能調整優勢。加速器提供高速分析大型資料集的能力,降低資料瓶頸的風險。支援快速資料處理並提高多租戶環境中的服務水準。由於資料的成長和企業應用程式的複雜性,資料加速器正在成為企業資料中心的必需品。加速器可以支援複雜的計算任務並增強資料處理和分析。託管服務資料中心由第三方公司經營,面臨提供高效、無縫服務的壓力。客戶需求範圍從高速資料處理到強大的安全措施。資料中心加速器可以幫助客戶提供更快、更有效率的處理,並有可能減少對大型伺服器群的需求。這既可以提高效能,又可以降低營運成本。
處理器類型:提高中央處理單元 (CPU) 功率的進步和投資
專用積體電路 (ASIC) 是為特定用途或應用而不是通用用途而設計的客製化積體電路。在資料中心營運中,ASIC 的實現是為了透過最佳化硬體來加速特定工作負載,從而高效、快速地執行特定任務。中央處理單元(CPU)是電腦的關鍵組件,負責執行電腦內部的大部分處理。在資料中心中,CPU負責執行電腦程式的指令,包括指令指定的算術、邏輯、控制和輸入/輸出功能。現場可程式閘陣列(FPGA) 包括圍繞使用可程式設計互連連接的可配置邏輯區塊 (CLB) 矩陣建構的半導體元件。製造完成後,FPGA 可以重新編程以滿足所需的應用和功能要求。圖形處理單元 (GPU) 是一種專用電子電路,旨在加速影像產生。
資料中心加速器正在增加對企業介面來管理和分析大量資料的需求。
深度學習是機器學習的一個子集,涉及模擬人腦功能的多層神經網路。需要大量運算能力的高階演算法用於訓練能夠識別複雜模式並做出資料驅動決策的模型。資料中心加速器可減少訓練時間並提高資源彙整任務的效率。企業介面是指企業環境中資料中心加速器的整合,以支援包括資料分析和機器學習在內的各種應用程式。在這種環境中,加速器的作用是提供快速處理大量資料所需的運算能力。資料中心加速器已成為公有雲端服務的關鍵元件,可提高多個客戶端存取共用實體資源的虛擬環境中的效能。公有雲介面利用加速器為廣泛的使用者提供可擴展、經濟高效的運算能力。這些加速器整合到雲端供應商的基礎架構中,為客戶提供複雜運算所需的功能,例如即時資料處理和大規模模擬。
區域洞察
由於持續的資料中心擴張和新資料中心建設活動,資料中心加速器的採用在美洲尤其是美國和加拿大引人注目。跨國公司的存在極大地推動了美洲資料中心加速器市場的開拓。這些主要企業在每個地區都有資料中心,這影響著每個產業的分佈和整體市場佔有率。中國、印度和澳洲等國家的數位化正在加速,推動了亞太地區對資料中心加速器的需求。由於行業的快速成長和對資料分析的日益關注導致資料流量增加以及對大容量資料中心的需求,該地區的加速器產量正在增加。資料中心加速器的使用在歐洲非常普遍,歐洲是英國、德國和法國等主要高科技中心的所在地。歐洲得到了建設新邊緣資料中心的投資支持,這使其成為市場參與者擴張的關鍵機會。儘管仍然是一個新興市場,中東和非洲地區在資料中心加速器的使用方面顯示出了潛在的成長。資料中心的成長,尤其是波灣合作理事會(GCC) 國家的資料中心的成長,將推動未來對資料中心加速器的需求。
FPNV定位矩陣
FPNV定位矩陣對於評估資料中心加速器市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對資料中心加速器市場供應商的現狀進行深入而詳細的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1. 市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2. 市場開拓:我們深入研究利潤豐厚的新興市場,並分析其在成熟細分市場的滲透率。
3. 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4. 競爭評估和情報:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況和製造能力進行全面評估。
5. 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1.資料中心加速器市場的市場規模與預測是多少?
2.資料中心加速器市場預測期內需要考慮投資的產品、細分市場、應用程式和領域有哪些?
3.資料中心加速器市場的技術趨勢和法規結構是什麼?
4.資料中心加速器市場主要廠商的市場佔有率為何?
5. 進入資料中心加速器市場的合適型態和策略手段是什麼?
[185 Pages Report] The Data Center Accelerator Market size was estimated at USD 31.68 billion in 2023 and expected to reach USD 37.21 billion in 2024, at a CAGR 18.02% to reach USD 101.04 billion by 2030.
Data center accelerators are a category of hardware devices or software mechanisms designed to improve the performance and efficiency of a data center's computational processes. Integrating accelerators into a data center infrastructure allows organizations to enhance overall performance, reduce processing time for specific tasks, and lower the energy consumption per workload, leading to operational and cost savings. As businesses continue to rely on data centers for critical operations, the demand for these accelerators is expected to grow. One of the primary drivers is the escalating demand for artificial intelligence (AI) and machine learning (ML) across various industries. These technologies require substantial computing power, which accelerators provide. Additionally, the increasing volume of complex data sets necessitates the use of accelerators to facilitate rapid analysis and insights derivation. However, technical limitations of using data center accelerators and issues related to data privacy and loss of data security raise concerns regarding the safety, accuracy, and reliability of data center accelerators. Major players are exploring integrating novel technological innovations to tackle challenges related to data privacy and ensure compliance with data protection regulations. Furthermore, investments in establishing edge and hyper-scale data centers worldwide provide new avenues of growth for the data center accelerators.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 31.68 billion |
Estimated Year [2024] | USD 37.21 billion |
Forecast Year [2030] | USD 101.04 billion |
CAGR (%) | 18.02% |
Data Center Type: Adoption of accelerators in cloud data centers to optimize overall operational efficiency
The need for cloud data center accelerators lies in the rising demand for efficient, scalable, and cost-effective services. The massive data streams processed by modern hyperscale data centers led to the adoption of accelerators and enhanced the performance of tasks such as machine learning, data analysis, and critical application processing. Implementing accelerators can lead to higher throughput, low latency, and power efficiency, which makes it possible to process large data sets in shorter time spans. In colocation data centers, where multiple clients share physical infrastructure, performance and scalability considerations are of utmost importance. With the growing complexities of shared environments, data accelerators can offer the benefits of workload-specific performance tuning. Accelerators bring in capabilities to analyze large data sets at a rapid rate, mitigating the risk of data bottlenecks. They enable quick data processing that can lead to improved service levels for multi-tenant environments. In enterprise data centers, data accelerators are leaning towards becoming a necessity due to the increasing influx of data and the rise in sophistication of enterprise applications. Accelerators can support complex computational tasks, boosting data processing and analytics. Handled by third-party companies, managed services data centers face continuous pressure to deliver efficient and seamless services. Client demands range from high-speed data processing to rock-solid security measures. Datacenter accelerators can aid them by providing faster, more efficient processing and potentially reducing the need for larger server fleets. This could both improve performance and reduce operating costs.
Processor Type: Advancements and investments to improve the capacities of central processing unit (CPU)
An application-specific integrated circuit (ASIC) is a customized integrated circuit designed for a particular use or application rather than intended for general-purpose use. In data center operations, ASICs are implemented to accelerate specific workloads by optimizing the hardware to perform particular tasks with high efficiency and at high speeds. The central processing unit (CPU) is the crucial element of a computer that performs most of the processing inside a computer. In data centers, CPUs are responsible for executing instructions from computer programs involving arithmetic, logic, control, and input & output functions specified by the instructions. Field-programmable gate arrays (FPGAs) include semiconductor devices that are built around a matrix of configurable logic blocks (CLBs) connected using programmable interconnections. FPGAs can be reprogrammed to cater to the desired application or functionality requirements after manufacturing. The graphics processing unit (GPU) is a specialized electronic circuit designed to accelerate the generation of images.
Application: Rising need for data center accelerators for enterprise interface to manage and analyze large volumes of data
Deep learning is a subset of machine learning that involves neural networks with multiple layers that simulate the function of the human brain. The sophisticated algorithms, which require significant computational power, are used to train models capable of recognizing complex patterns and making data-driven decisions. Datacenter accelerators reduce training time and improve the efficiency of resource-intensive tasks. The enterprise interface refers to the integration of data center accelerators within a corporate environment to support diverse applications, including data analytics and machine learning. In this setting, the accelerator's role is to provide the computational power required to rapidly process large volumes of data. Data center accelerators have become a crucial element for public cloud services, driving the performance of virtualized environments where multiple clients access shared physical resources. The public cloud interface leverages accelerators to deliver scalable and cost-efficient computing power to a broader range of users. These accelerators are integrated into the cloud providers' infrastructure, furnishing clients with the capabilities needed for complex computations, such as real-time data processing and large-scale simulations.
Regional Insights
The Americas, mainly the U.S. and Canada, observe significant adoption of data center accelerators due to the consistent expansion of data centers and new data center establishment activities. The presence of multinational corporations significantly elevates the data center accelerator market development in the Americas. These key players have data centers spread across regions, influencing the sectors' distribution and overall market share. Accelerating digitization in countries such as China, India, and Australia has fueled the demand for data center accelerators in the Asia-Pacific region. Rapid industrial growth and an increasing focus on data analysis, elevating the data traffic and creating the need for high-volume data centers, have led to a rise in the production of these accelerators in the region. Europe, with major tech hubs such as the UK, Germany, and France, exhibits significant use of data center accelerators. Europe presents a key opportunity for the expansion of market players as the region is backed with several investments for building new edge data centers. Although still emerging, the MEA region shows potential growth in the use of data center accelerators. The rise in data centers, particularly in the Gulf Cooperation Council (GCC) countries, is set to drive future demand for data center accelerators.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Data Center Accelerator Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Data Center Accelerator Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Data Center Accelerator Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Achronix Semiconductor Corporation, Advanced Micro Devices, Inc., Advantech Co., Ltd., Analog Devices, Inc., Cisco Systems, Inc., Dell Technologies Inc., Devoteam Group, Fujitsu Limited, Google LLC by Alphabet Inc., Hailo Technologies Ltd., Infineon Technologies AG, Intel Corporation, International Business Machines Corporation, Lattice Semiconductor Corporation, Lenovo Group Limited, Marvell Technology, Inc., Meta Platforms, Inc, Microchip Technology Incorporated, Micron Technology, Inc., Microsoft Corporation, Murata Manufacturing Co., Ltd., NEC Corporation, NTT Corporation, NVIDIA Corporation, NXP Corporation, Oracle Corporation, QUALCOMM Incorporated, Samsung Electronics Co., Ltd., Sapeon Inc., Skyworks Solutions, Inc., Taiwan Semiconductor Manufacturing Company Limited, and Zenlayer Inc..
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Data Center Accelerator Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Data Center Accelerator Market?
3. What are the technology trends and regulatory frameworks in the Data Center Accelerator Market?
4. What is the market share of the leading vendors in the Data Center Accelerator Market?
5. Which modes and strategic moves are suitable for entering the Data Center Accelerator Market?