The report "Data Center Accelerator Market by Processor (GPU, CPU, ASIC, FPGA), Type (Cloud Data Center, HPC Data Center), Application (Deep Learning Training, Enterprise Inference), End-user (IT & Telecom, Healthcare, Energy) and Region - Global Forecast to 2029" The global data center accelerator market was valued at USD 109.9 billion in 2024 and is projected to reach USD 372.9 billion by 2029; it is expected to register a CAGR of 27.7% during the forecast period. Growing demand for cloud-based services, rising focus on parallel computing in AI data centers, and surging adoption of deep learning technology in big data analytics are attributed to the demand of data center accelerators.
By End-user: IT &
Telecom segment to account for the largest market share in the forecasted year.
The IT & Telecom
segment accounted for the largest share of the data center accelerator market
in 2029. The segment's growth is attributed to the the exponential growth of
data and the need for faster, more efficient data processing capabilities. As businesses
increasingly rely on big data analytics, artificial intelligence (AI), machine
learning (ML), and Internet of Things (IoT) applications, traditional data
center architectures struggle to keep up with the intensive computational and
storage requirements. Accelerators such as GPUs, FPGAs, and ASICs offer
significant performance improvements by offloading and optimizing specific
tasks, enabling higher throughput and lower latency.
By Type: Cloud data
centers accounted for a larger market share in the forecasted year.
Cloud data centers
accounted for a larger share in the forecasted period. The increasing adoption
of AI is causing changes in cloud server configuration. The cloud computing
market has seen significant growth in recent years due to the increased volume
of data transferred to the cloud from consumers. This has led to a rising
demand for co-processors (accelerators) as they optimize server data processing
by reducing latency. In AI-powered servers used for deep learning training, the
typical CPU-to-GPU attachment rate is 1–4 GPUs; in some cases, it is around 1–8
GPUs. Deep learning is expected to dominate cloud workloads in the coming
years, leading to increased demand for accelerators in cloud servers. It is
projected that in the near future, over one-third of servers shipped will be
dedicated to either deep learning training or deep learning inference.
Additionally, accelerators are expected to be widely employed in public and
enterprise cloud servers to enhance inference applications.
Leading cloud service
providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google
Cloud, operate extensive networks of these data centers globally. Similarly,
Xilinx Alveo U250 Data Center accelerator cards are designed to meet the
constantly changing needs of modern data centers, providing up to 90X higher
performance than CPUs for key workloads, including machine learning inference,
video transcoding, and database search and analytics. Built on the Xilinx 16 nm
Ultra Scale architecture, Alveo accelerator cards are adaptable to changing
acceleration requirements and algorithm standards, capable of accelerating any
workload without changing hardware and reducing the overall cost of ownership.
The key benefit of Xilinx Alveo is that it can be accessed for both cloud and
on-premises mobility deployment.
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=48984803
North America is
expected to hold the largest share of the data center accelerator market during
the forecast period.
North America captured
the largest share of the data center accelerator market in the forecast period.
This growth is attributed to the presence of a large number of data centers in
the region implying the demand for data center accelerator processors such as
GPU’s and ASIC’s. Major Cloud service providers have their headquarters in this
region such as AWS (US), Microsoft (US), and Alphabet Inc. (US).
Key Players
The key companies that
offer virtual reality devices include NVIDIA Corporation (US), Advanced Micro
Devices, Inc (US), Intel Corporation (US), Alphabet Inc. (US), Qualcomm
Technology, Inc. (US).
About MarketsandMarkets™
MarketsandMarkets™ is a
blue ocean alternative in growth consulting and program management, leveraging
a man-machine offering to drive supernormal growth for progressive
organizations in the B2B space. We have the widest lens on emerging
technologies, making us proficient in co-creating supernormal growth for
clients.
The B2B economy is
witnessing the emergence of $25 trillion of new revenue streams that are
substituting existing revenue streams in this decade alone. We work with
clients on growth programs, helping them monetize this $25 trillion opportunity
through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to
Execution, Market Share Gain, Account Enablement, and Thought Leadership
Marketing.
Built on the 'GIVE
Growth' principle, we work with several Forbes Global 2000 B2B companies -
helping them stay relevant in a disruptive ecosystem.Our insights and
strategies are molded by our industry experts, cutting-edge AI-powered Market
Intelligence Cloud, and years of research.The KnowledgeStore™ (our Market
Intelligence Cloud) integrates our research, facilitates an analysis of
interconnections through a set of applications, helping clients look at the
entire ecosystem and understand the revenue shifts happening in their industry.
No comments:
Post a Comment