市场调查报告书
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资料中心加速器市场:按处理器类型、资料中心类型、应用程式划分 - 2024-2030 年全球预测Data Center Accelerator Market by Processor Type, Data Center Type, Application - Global Forecast 2024-2030 |
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资料中心加速器市场规模预计2023年为316.8亿美元,2024年达到372.1亿美元,预计2030年将达到1,010.4亿美元,复合年增长率为18.02%。
资料中心加速器是一类硬体设备和软体机制,旨在提高资料中心运算过程的效能和效率。透过将加速器整合到资料中心基础设施中,企业可以提高整体效能,减少特定任务的处理时间,并减少每个工作负载的消费量,从而节省营运和成本。随着公司继续依赖资料中心进行关键业务,对这些加速器的需求预计将会成长。造成这种情况的主要原因之一是各行业对人工智慧(AI)和机器学习(ML)的需求不断增加。这些技术需要大量的运算能力,而加速器可以提供这一点。此外,越来越多的复杂资料集需要使用加速器来促进快速分析和得出见解。然而,由于使用资料中心加速器时的技术限制以及对资料隐私和资料安全损失的担忧,人们对资料中心加速器的安全性、准确性和可靠性产生了担忧。领先的公司正在寻求整合新的技术创新来应对资料隐私挑战并确保遵守资料保护条例。此外,在全球范围内建立边缘和资料资料的投资正在为资料中心加速器提供新的成长途径。
主要市场统计 | |
---|---|
基准年[2023] | 316.8亿美元 |
预测年份 [2024] | 372.1亿美元 |
预测年份 [2030] | 1010.4亿美元 |
复合年增长率(%) | 18.02% |
资料中心类型 透过在云端资料中心采用加速器来优化整体营运效率
对高效、可扩展且经济高效的服务不断增长的需求推动了对云端资料中心加速器的需求。现代超大规模资料中心处理的大量资料流导致采用加速器来提高机器学习、资料分析和关键应用程式处理等任务的效能。加速器可实现更高的吞吐量、更低的延迟和电源效率,从而在更短的时间内处理大型资料集。在多个用户端共用实体基础架构的主机代管资料中心中,效能和可扩展性考量至关重要。随着共用环境变得越来越复杂,资料加速器可以提供特定于工作负载的效能调整优势。加速器提供高速分析大型资料集的能力,降低资料瓶颈的风险。支援快速资料处理并提高多租户环境中的服务水准。由于资料的成长和企业应用程式的复杂性,资料加速器正在成为企业资料中心的必需品。加速器可以支援复杂的计算任务并增强资料处理和分析。託管服务资料中心由第三方公司经营,面临提供高效、无缝服务的压力。客户需求范围从高速资料处理到强大的安全措施。资料中心加速器可以帮助客户提供更快、更有效率的处理,并有可能减少对大型伺服器群的需求。这既可以提高效能,又可以降低营运成本。
处理器类型:提高中央处理单元 (CPU) 功率的进步和投资
专用积体电路 (ASIC) 是为特定用途或应用而不是通用用途而设计的客製化积体电路。在资料中心营运中,ASIC 的实现是为了透过优化硬体来加速特定工作负载,从而高效、快速地执行特定任务。中央处理单元(CPU)是电脑的关键组件,负责执行电脑内部的大部分处理。在资料中心中,CPU负责执行电脑程式的指令,包括指令指定的算术、逻辑、控制和输入/输出功能。现场可程式闸阵列(FPGA) 包括围绕使用可程式设计互连连接的可配置逻辑区块 (CLB) 矩阵建构的半导体元件。製造完成后,FPGA 可以重新编程以满足所需的应用和功能要求。图形处理单元 (GPU) 是一种专用电子电路,旨在加速影像产生。
资料中心加速器正在增加对企业介面来管理和分析大量资料的需求。
深度学习是机器学习的一个子集,涉及模拟人脑功能的多层神经网路。需要大量运算能力的高阶演算法用于训练能够识别复杂模式并做出资料驱动决策的模型。资料中心加速器可减少训练时间并提高资源彙整任务的效率。企业介面是指企业环境中资料中心加速器的集成,以支援包括资料分析和机器学习在内的各种应用程式。在这种环境中,加速器的作用是提供快速处理大量资料所需的运算能力。资料中心加速器已成为公有云服务的关键元件,可提高多个客户端存取共用实体资源的虚拟环境中的效能。公有云介面利用加速器为广泛的使用者提供可扩展、经济高效的运算能力。这些加速器整合到云端供应商的基础架构中,为客户提供复杂运算所需的功能,例如即时资料处理和大规模模拟。
区域洞察
由于持续的资料中心扩张和新资料中心建设活动,资料中心加速器的采用在美洲尤其是美国和加拿大引人注目。跨国公司的存在极大地推动了美洲资料中心加速器市场的开拓。这些主要企业在每个地区都有资料中心,这影响着每个产业的分布和整体市场份额。中国、印度和澳洲等国家的数位化正在加速,推动了亚太地区对资料中心加速器的需求。由于行业的快速增长和对资料分析的日益关注导致资料流量增加以及对大容量资料中心的需求,该地区的加速器产量正在增加。资料中心加速器的使用在欧洲非常普遍,欧洲是英国、德国和法国等主要高科技中心的所在地。欧洲得到了建设新边缘资料中心的投资支持,这使其成为市场参与者扩张的关键机会。儘管仍然是一个新兴市场,中东和非洲地区在资料中心加速器的使用方面显示出了潜在的成长。资料中心的成长,尤其是波湾合作理事会(GCC) 国家的资料中心的成长,将推动未来对资料中心加速器的需求。
FPNV定位矩阵
FPNV定位矩阵对于评估资料中心加速器市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对资料中心加速器市场供应商的现状进行深入而详细的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4. 竞争评估和情报:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况和製造能力进行全面评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1.资料中心加速器市场的市场规模与预测是多少?
2.资料中心加速器市场预测期内需要考虑投资的产品、细分市场、应用程式和领域有哪些?
3.资料中心加速器市场的技术趋势和法规结构是什么?
4.资料中心加速器市场主要厂商的市场占有率为何?
5. 进入资料中心加速器市场的合适型态和策略手段是什么?
[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 | |
---|---|
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?