The “Data Center Accelerator Market” report published by ResearchAndMarkets.com predicts that the global data center accelerator market size is expected to reach USD 73.31 billion by 2030. The report gives a detailed insight into current market dynamics and provides an analysis of future market growth.
The growing emphasis on parallel computing in Artificial Intelligence (AI) data centers, rising demand for consumer-driven data and application performance enhancement, the increasing use of deep learning technology in big data analytics, and the growing number of companies offering Machine Learning-as-a-Service are the primary drivers of market revenue growth.
Furthermore, significant increases in data traffic, combined with an increase in computationally intensive applications, are expected to drive growth in the data center accelerator industry. Cloud computing support infrastructures are centered on datacenters, which house processing, storage, and communication resources. Data centers are becoming increasingly clogged with massive amounts of data, and operators are looking for advanced solutions to optimize a wide range of data-driven tasks such as NLP (Natural Language Processing) and deep learning.
The market is expected to grow due to high demand for high-performance hardware accelerators in data center processors that use Artificial Intelligence (AI) technology in applications such as deep learning, object detection and identification, picture classification, and natural-language processing. Because of their ability to perform AI job processing faster while consuming less power, such chips are quickly replacing traditional Central Processing Units (CPUs) and Graphics Processing Units (GPUs).
For instance, Sanofi launched its first Digital Accelerator on June 8, 2022, to achieve its goal of becoming a leading digital healthcare company. This accelerator will develop products and solutions to aid Sanofi’s goal of transforming medicine through digital, data, and artificial intelligence. It already has over 75 specialists from all over the world on staff and will continue to hire top talent in digital product management, full-stack development, and data science.
AI chips and accelerator cards are designed and built to complete training and inference tasks as quickly as possible while staying within a specific power budget. Furthermore, the high demand for data centers with reduced power and comparatively higher performance to handle rising data and complex computations drives revenue growth.
The ability of emerging markets to reduce the cost and risk of investments in large hyper-scale data centers, the increasing number of innovative product launches, and the presence of a large number of data centers in countries such as the United Kingdom, the Netherlands, and Germany are a few of the factors driving market growth.