市场调查报告书
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到 2030 年资料中心加速器市场预测:按类型、处理器类型、应用程式、最终用户和地区进行的全球分析Data Center Accelerator Market Forecasts to 2030 - Global Analysis By Type, Processor Type, Application, End User and By Geography |
根据Stratistics MRC统计,2024年全球资料中心加速器市场规模为319.8亿美元,预计2030年将达到1,091.2亿美元,复合年增长率为22.7%。
资料中心加速器是专门的硬体元件,可以加速和卸载特定的运算任务,以提高资料中心的效能和效率。这些加速器(包括 GPU、FPGA 和 ASIC)旨在承受巨量资料分析、人工智慧 (AI)、机器学习和高效能运算 (HPC) 等现代应用的苛刻工作负载。此外,资料中心加速器可以透过卸载传统 CPU 的繁重处理任务来显着提高吞吐量并减少延迟。
国际数据公司 (IDC) 表示,随着各行业越来越多地采用人工智慧和机器学习技术,全球资料中心加速器市场预计将在未来几年大幅成长。
对机器学习和人工智慧的需求不断增长
自然语言处理、影像和语音辨识、自动驾驶汽车以及其他人工智慧和机器学习应用正在快速成长,需要大量的平行处理能力。资料中心加速器,特别是用于处理大型资料集和复杂演算法的 GPU 和专用人工智慧晶片,可以实现更快的学习时间和更有效的推理操作。此外,医疗保健、金融、汽车和零售领域的公司正在推动这项需求,以改善决策、客户体验和业务效率。
复杂的维护和集成
整合资料中心加速器在技术上很困难,并且需要专业知识。确保与目前硬体、软体和网路架构的兼容性造成了这种复杂性。此外,维护和管理使用传统 CPU 和专用加速器的异质运算环境需要先进的知识和资源。如果组织必须花钱聘请和培训专家,那么采用可能会受到阻碍,从而进一步增加营运成本。
硬体技术的进步
加速器硬体的不断进步带来了许多机会,包括开发更强大、更有效率的 GPU、FPGA 和客製化 ASIC。由于效能、能源效率的提高和针对特定应用的最佳化,这些发展使加速器对各种使用案例更具吸引力。此外,神经形态运算和量子运算等新技术与传统加速器相结合,有可能为资料中心提供处理更复杂和运算密集任务的新方法。
科技的快速变化
资料中心加速器技术的快速进步带来了显着的风险。为了保持领先地位,公司必须继续投资研发,这可能需要大量资源。随着更新、更复杂的解决方案的出现,目前的技术也可能很快就会过时。此外,这种快速变化可能会导致高昂的成本,因为公司必须定期升级其基础设施以跟上技术进步。
COVID-19 的疫情对资料中心加速器市场产生了重大影响,推动了各行业对数位转型、远距工作选项和云端服务的需求。随着企业和消费者越来越依赖数位平台,并且资料生成和处理需求激增,资料中心加速器已被采用来提高效能和效率。但疫情导致了生产延误、零件短缺和供应链中断,给製造商带来了压力,并减缓了新加速器技术的采用。
高效能运算加速器领域预计将在预测期内成为最大的领域
在资料中心加速器市场中,高效能运算(HPC)加速器细分市场占据最大的市场占有率。大规模资料分析、复杂运算和模拟等重型任务所需的运算能力主要由高效能运算加速器提供,这些任务对于科学研究、金融、工程和国防等领域至关重要。此外,对高级建模、人工智慧和机器学习应用程式的需求正在增加这些领域对运算能力的需求,这就是 HPC 加速器主导市场的原因。
GPU(图形处理单元)领域预计在预测期内呈现最高的复合年增长率
在资料中心加速器市场中,图形处理单元(GPU)领域的复合年增长率最高。 GPU 之所以受欢迎,是因为其卓越的平行处理能力使其成为管理机器学习、人工智慧 (AI) 和高效能运算 (HPC) 等现代应用所需的复杂运算的理想选择。此外,由于其架构比传统 CPU 提供了显着的速度和效能改进,因此它可以快速且有效率地处理大型资料集和复杂演算法。
由于大型科技公司的存在、强大的基础设施以及 IT、医疗保健、金融和电子商务等行业对资料处理能力的高需求,北美继续占据全球资料中心加速器市场的最大份额。此外,该地区还受益于巨量资料分析、机器学习和人工智慧 (AI) 等最尖端科技的早期采用。这些技术需要强大的加速器来提高运算效率。
亚太地区资料中心加速器市场的复合年增长率最高。快速都市化、许多行业数位化的提高以及中国、印度、日本和韩国等国家技术中心的建立是这一增长的关键驱动力。该地区人口的成长以及智慧型手机、物联网 (IoT) 设备和云端处理服务的激增正在快速产生资料。此外,随着亚太地区的企业越来越依赖资料主导的洞察力来获得竞争优势并有效管理大量工作负载,对高效能资料中心加速器的需求也在不断增长。
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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