市場調查報告書
商品編碼
1503316
到 2030 年資料中心加速器市場預測:按類型、處理器類型、應用程式、最終用戶和地區進行的全球分析Data Center Accelerator Market Forecasts to 2030 - Global Analysis By Type, Processor Type, Application, End User and By Geography |
根據Stratistics MRC統計,2024年全球資料中心加速器市場規模為319.8億美元,預計2030年將達到1,091.2億美元,複合年成長率為22.7%。
資料中心加速器是專門的硬體元件,可以加速和卸載特定的運算任務,以提高資料中心的效能和效率。這些加速器(包括 GPU、FPGA 和 ASIC)旨在承受巨量資料分析、人工智慧 (AI)、機器學習和高效能運算 (HPC) 等現代應用的苛刻工作負載。此外,資料中心加速器可以透過卸載傳統 CPU 的繁重處理任務來顯著提高吞吐量並減少延遲。
國際數據公司 (IDC) 表示,隨著各行業擴大採用人工智慧和機器學習技術,全球資料中心加速器市場預計將在未來幾年大幅成長。
對機器學習和人工智慧的需求不斷成長
自然語言處理、影像和語音辨識、自動駕駛汽車以及其他人工智慧和機器學習應用正在快速成長,需要大量的平行處理能力。資料中心加速器,特別是用於處理大型資料集和複雜演算法的 GPU 和專用人工智慧晶片,可以實現更快的學習時間和更有效的推理操作。此外,醫療保健、金融、汽車和零售領域的公司正在推動這項需求,以改善決策、客戶體驗和業務效率。
複雜的維護和整合
整合資料中心加速器在技術上很困難,並且需要專業知識。確保與目前硬體、軟體和網路架構的兼容性造成了這種複雜性。此外,維護和管理使用傳統 CPU 和專用加速器的異質運算環境需要先進的知識和資源。如果組織必須花錢聘請和培訓專家,那麼採用可能會受到阻礙,從而進一步增加營運成本。
硬體技術的進步
加速器硬體的不斷進步帶來了許多機會,包括開發更強大、更有效率的 GPU、FPGA 和客製化 ASIC。由於效能、能源效率的提高和針對特定應用的最佳化,這些發展使加速器對各種使用案例更具吸引力。此外,神經形態運算和量子運算等新技術與傳統加速器相結合,有可能為資料中心提供處理更複雜和運算密集任務的新方法。
科技的快速變化
資料中心加速器技術的快速進步帶來了顯著的風險。為了保持領先地位,公司必須繼續投資研發,這可能需要大量資源。隨著更新、更複雜的解決方案的出現,目前的技術也可能很快就會過時。此外,這種快速變化可能會導致高昂的成本,因為公司必須定期升級其基礎設施以跟上技術進步。
COVID-19 的疫情對資料中心加速器市場產生了重大影響,推動了各行業對數位轉型、遠距工作選項和雲端服務的需求。隨著企業和消費者越來越依賴數位平台,並且資料生成和處理需求激增,資料中心加速器已被採用來提高效能和效率。但疫情導致了生產延誤、零件短缺和供應鏈中斷,給製造商帶來了壓力,並減緩了新加速器技術的採用。
高效能運算加速器領域預計將在預測期內成為最大的領域
在資料中心加速器市場中,高效能運算(HPC)加速器細分市場佔據最大的市場佔有率。大規模資料分析、複雜運算和模擬等重型任務所需的運算能力主要由高效能運算加速器提供,這些任務對於科學研究、金融、工程和國防等領域至關重要。此外,對高級建模、人工智慧和機器學習應用程式的需求正在增加這些領域對運算能力的需求,這就是 HPC 加速器主導市場的原因。
GPU(圖形處理單元)領域預計在預測期內呈現最高的複合年成長率
在資料中心加速器市場中,圖形處理單元(GPU)領域的複合年成長率最高。 GPU 之所以受歡迎,是因為其卓越的平行處理能力使其成為管理機器學習、人工智慧 (AI) 和高效能運算 (HPC) 等現代應用所需的複雜運算的理想選擇。此外,由於其架構比傳統 CPU 提供了顯著的速度和效能改進,因此它可以快速且有效率地處理大型資料集和複雜演算法。
由於大型科技公司的存在、強大的基礎設施以及 IT、醫療保健、金融和電子商務等行業對資料處理能力的高需求,北美繼續佔據全球資料中心加速器市場的最大佔有率。此外,該地區還受益於巨量資料分析、機器學習和人工智慧 (AI) 等最尖端科技的早期採用。這些技術需要強大的加速器來提高運算效率。
亞太地區資料中心加速器市場的複合年成長率最高。快速都市化、許多行業數位化的提高以及中國、印度、日本和韓國等國家技術中心的建立是這一成長的關鍵驅動力。該地區人口的成長以及智慧型手機、物聯網 (IoT) 設備和雲端處理服務的激增正在快速產生資料。此外,隨著亞太地區的企業越來越依賴資料主導的洞察力來獲得競爭優勢並有效管理大量工作負載,對高效能資料中心加速器的需求也在不斷成長。
According to Stratistics MRC, the Global Data Center Accelerator Market is accounted for $31.98 billion in 2024 and is expected to reach $109.12 billion by 2030 growing at a CAGR of 22.7% during the forecast period. Data center accelerators are specialized hardware elements that accelerate and offload particular computational tasks to improve the performance and efficiency of data centers. These accelerators-which include GPUs, FPGAs, and ASICs-are designed to withstand the rigorous workloads of contemporary applications, which include big data analytics, artificial intelligence (AI), machine learning, and high-performance computing (HPC). Moreover, data center accelerators can greatly increase throughput and decrease latency by taking on demanding processing tasks from conventional CPUs.
According to the International Data Corporation (IDC), the global market for data center accelerators is projected to grow significantly over the next few years, driven by the increasing adoption of AI and machine learning technologies in various industries.
Growing needs for machine learning and AI
Natural language processing, image and speech recognition, autonomous cars, and other AI and machine learning applications are growing at a very fast pace, which makes them demand a lot of processing power in parallel. Rapid training times and more effective inference operations are made possible by data center accelerators, especially GPUs and specialized AI chips, which are built to handle the large datasets and intricate algorithms involved. Additionally, in order to improve decision-making, customer experience, and operational efficiency, businesses in the healthcare, finance, automotive, and retail sectors are driving this demand.
Complex maintenance and integration
Data center accelerator integration can be technically challenging and necessitate specialized knowledge. The requirement to guarantee compatibility with current hardware, software, and network architectures gives rise to this complexity. Furthermore, it takes advanced knowledge and resources to maintain and manage a heterogeneous computing environment with both conventional CPUs and specialized accelerators. Adoption may be hampered if organizations must spend money on expert hiring or training, which would raise operating expenses even more.
Technological progress in hardware
There are a lot of opportunities due to ongoing advancements in accelerator hardware, such as the creation of GPUs, FPGAs, and customized ASICs that are more powerful and efficient. Accelerators are now more appealing for a variety of use cases due to their increased performance, energy efficiency, and application-specific optimization as a result of these developments. Moreover, newer technologies like neuromorphic computing and quantum computing may be able to work with conventional accelerators to give data centers new ways to handle tasks that are even more intricate and computationally demanding.
Quick changes in technology
The rapid pace of technological progress in data center accelerators presents a noteworthy risk. To stay ahead of the curve, businesses must continually invest in research and development, which can require a lot of resources. There's also the chance that as newer, more sophisticated solutions appear, current technologies will quickly become outdated. Additionally, businesses may incur higher costs as a result of this rapid change since they must regularly upgrade their infrastructure to keep up with advancements in technology.
The COVID-19 pandemic had a major effect on the market for data center accelerators, driving up demand for digital transformation, remote work options, and cloud services across various industries. Data center accelerators were adopted to improve performance and efficiency as a result of a surge in data generation and processing needs brought about by businesses and consumers relying more and more on digital platforms. However, the pandemic also resulted in production delays, shortages of components, and disruptions to the supply chain, which put manufacturers under pressure and slowed the adoption of new accelerator technologies.
The High Performance Computing Accelerator segment is expected to be the largest during the forecast period
The High Performance Computing (HPC) Accelerator segment holds the largest market share in the data center accelerator market. The computational power needed for demanding tasks like large-scale data analysis, intricate computations, and simulations-all essential in domains like scientific research, finance, engineering, and defense-is largely supplied by HPC accelerators. Moreover, the need for advanced modeling, artificial intelligence, and machine learning applications is driving an increasing demand for computational capabilities in these domains, which is why HPC accelerators are dominating the market.
The Graphical Processing Unit (GPU) segment is expected to have the highest CAGR during the forecast period
The Graphical Processing Unit (GPU) segment of the Data Center Accelerator Market has the highest CAGR. GPUs are becoming more and more popular because of their superior parallel processing capabilities, which make them perfect for managing the intricate computations needed by contemporary applications like machine learning, artificial intelligence (AI), and high-performance computing (HPC). Additionally, large data sets and complex algorithms can be processed quickly and efficiently thanks to their architecture, which offers a noticeable speed and performance boost over conventional CPUs.
Due to the presence of significant technology companies, a strong infrastructure, and a high demand for data processing capabilities across a variety of industries, including IT, healthcare, finance, and e-commerce, North America continues to hold the largest share of the global market for data center accelerators. Furthermore, early adoption of cutting-edge technologies such as big data analytics, machine learning, and artificial intelligence (AI) benefits the region. These technologies require strong accelerators to improve computational efficiency.
The data center accelerator market's highest CAGR is seen in the Asia-Pacific region. Rapid urbanization, rising digitization in a number of industries, and the establishment of technology hubs in nations like China, India, Japan, and South Korea are the main drivers of this growth. Due to the region's growing population, widespread use of smart phones, Internet of Things (IOT) devices, and cloud computing services, there is a surge in the generation of data. Additionally, high-performance data center accelerators are becoming more and more necessary as companies in Asia-Pacific depend more and more on data-driven insights to obtain a competitive edge and manage enormous workloads effectively.
Key players in the market
Some of the key players in Data Center Accelerator market include NVIDIA Corporation, Google Inc., Cisco Systems, Inc., Qualcomm Technologies, Inc., Fujitsu, NEC Corporation, Intel Corporation, Advanced Micro Devices, Inc, Wave Computing, Meta Inc., SambaNova Systems, Inc., Leapmind Inc., Dell Inc., Micron Technology, Inc. and Huawei Technologies.
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