The AI infrastructure market is expected to grow from USD 23.7 billion in 2021 to USD 79.3 billion by 2026, at a CAGR of 27.3%.
The AI infrastructure market is being driven by increased data traffic and the need for high computing power, increasing adoption of cloud machine learning platforms, increasingly large and complex datasets, increasing focus on parallel computing in AI data centres, and a growing number of cross-industry partnerships and collaborations.
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Cloud service providers held the largest share of end users in the AI infrastructure market in 2020
The cloud mainly addresses three areas of operation: software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), and platform-as-a-service (PaaS). Some of the major cloud service providers are AWS, Microsoft, IBM, Google, and Alibaba. These are the companies that provide cloud services to most of the companies worldwide. These companies are expected to lead the overall end user market for AI infrastructure.
Because of the great efficiency and economies of scale afforded by cloud computing, the number of data centre providers and cloud enterprises is expected to grow. Cloud service providers provide services to several customers using a shared infrastructure (i.e., operations, networking, data storage, and hardware) and help businesses save money on IT infrastructure.
Amazon Web Services (AWS), for example, offers IaaS for training and creating statistical models for inference.
Hybrid deployment held the largest share of AI infrastructure market in 2020
The market has been divided into three categories based on deployment type: on-premises, cloud, and hybrid.
A hybrid deployment method combines on-premises infrastructure, private cloud services, and public cloud services to provide mixed processing, storage, and services that can be tailored to the application. Cloud services help businesses save money and turn into digital enterprises. Because of the enhanced adaptability of a hybrid cloud, it is commonly embraced by businesses to obtain a competitive advantage. Organizations in the automotive, healthcare, and industrial sectors have begun to implement hybrid infrastructure, which incorporates several technologies and approaches such as virtualization, private clouds, and other internal IT resources.
Inference function to account for the largest share in the AI infrastructure market in 2021
On the basis of function, the market has been segmented into inference and training. The inference is computationally less intense than training. Unlike training, it does not include a backward pass to compute the error and update weights. It is usually a production phase wherein the model is deployed to predict the real-world data. An inference platform should enable easy integration of training into deployment systems, offer latency for demanding workloads, have scalability and a standard client interface for successful adoption.
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North America is leading the market for AI infrastructure in 2020
North America accounts for the largest share of the global AI infrastructure market, and a similar trend is likely to continue in the near future. The US and Canada are expected to adopt AI-based servers at a high rate. These countries are technologically developed economies in North America owing to their strong focus on investing in R&D activities for the development of new technologies. The US is one of the leading countries in the world to adopt AI technology. In addition, the presence of prominent AI technology providers in the country, such as IBM, Google, Microsoft, NVIDIA, Intel, Facebook, MetaMind, and Amazon, is boosting the growth of the AI infrastructure market in this region.
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