AI Infrastructure Market by Component (Hardware, Software), Deployment Model (On-Premise, Cloud, Hybrid), End User (Government Organizations, Enterprises, Cloud Service Providers (CSPs): Global Market Size Estimates and Forecast (2022–2030)

Code: BMIRE00025981 | Pages: 100 | Industry: Technology, Media and Telecommunications | Date: Sep 2022 | Type: Global

The AI infrastructure market crossed US$ 28.6 billion mark in 2022 and is expected to hit US$ 197.2 billion by 2030, recording a CAGR of 27.3% during the forecast period.

AI infrastructure market has been significantly growing with the increasing prevalence of deep learning.

Deep learning technology enables a machine to create a progressive portrayal. For instance, the primary layer of the captured images could examine for fundamental edges, followed by a layer that collects edge-framing shapes (for example, square shapes or circles). The final coating could distinguish machine parts. After reviewing several layers to separate the necessary information, the neural system can combine the highlights into a calculation that can perceive the big picture. The rising use of robotics, IoT, cybersecurity applications, industrial mechanization, and machine vision advancement has created enormous information. This information is a deep learning innovation training module that helps with testing and diagnosis. The growing demand for deep learning is expected to boost the AI infrastructure market during the forecast period. Furthermore, factors such as massive data generation in varied sectors, utilization of cloud machine learning platforms, and deployment of AI applications in automotive, tourism, retail, and other industries are driving the growth of the AI infrastructure market. Nevertheless, emerging technologies such as the development of human-aware AI systems and the installation of AI hardware among data centers are anticipated to provide healthy opportunities to the players operating in the AI infrastructure market.

Within the report, the AI infrastructure market is segmented into component, deployment model, application, and geography. Based on component, the AI infrastructure market is segmented into hardware and software. On the basis of deployment model, the AI infrastructure market is segmented into on-premise, cloud, and hybrid. Further, the AI infrastructure market is segmented on the basis of end user into government organizations, enterprises, and cloud service providers (CSP). Geographically, the AI infrastructure market is subsegmented into North America, Europe, Asia Pacific, South & Central America, and Middle East & Africa. The market in Asia Pacific holds the highest growth rate and is expected to retain its position during the forecast period (2022-2030). The highest growth is due to the presence of most populous countries such as China and India in the region.

Hybrid segment in deployment model to hold the second largest share of AI infrastructure market during the forecast period (2022-2030)

 The benefit of a hybrid cloud is its enhanced agility; therefore, businesses widely accept it to gain a competitive edge benefit. Hybrid infrastructure, which combines technologies and approaches such as private clouds, virtualization, and other internal IT resources, has begun to be adopted by an enterprise in the healthcare, automotive, and industrial sectors.

Rising demand for AI hardware and software is one of the major factors accelerating the market growth.

Modern AI solutions frequently require new hardware and software to keep pace with the growing volume of data created by the application. For instance, these AI-based solutions require updates in the annotation and collation of data sources and in the creation, processing, and fine-tuning of models as newer data develops. Deep learning, made possible by AI technology, has emerged as one of the most significant computational workloads for business and will increase the use of AI infrastructure. The growing demand for Ai hardware and software is expected to boost the AI infrastructure market during the forecast period (2022-2030).

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Recent strategic developments in AI infrastructure market

The AI infrastructure market has undergone several significant developments, and a few of these have been mentioned below:

  • In May 2022, Micron Technology, Inc. announced the availability of two new consumer storage products, the Crucial P3 Plus Gen4 NVMe and Crucial P3 NVMe solid-state drives (SSDs), as an expansion of Crucial NVMe SSD product portfolio. The Crucial P3 Plus SSD product line would deliver sequential read/write speeds up to 5000/4200 MB/s1, while next-generation Crucial P3 SSDs would provide read/write speeds up to 3500/3000 MB/s1.
  • In March 2022, NVIDIA Corporation announced next-generation accelerated computing platform with NVIDIA Hopper architecture, to power the next wave of AI data centers and deliver an order of magnitude performance leap over its predecessor, i.e., NVIDIA Ampere architecture.

The AI infrastructure market is driven by several players by implementing strategic activities such as investments, new launches, mergers & acquisitions, and partnerships. Amazon Web Services, Inc. (Amazon.com, Inc.); Dell Technologies Inc.; Google Inc.; Intel Corporation; IBM Corporation; Microsoft Corporation; Micron Technology, Inc.; NVIDIA Corporation; SAMSUNG; Xilinx Inc. are among the prominent players operating in the market.

Target audience for the report:

  • AI infrastructure providers
  • AI technology providers
  • ICT providers
  • AI-related associations, organizations, forums, and alliances
  • Government bodies, such as regulating authorities and policy makers
  • Venture capitalists, private equity firms, and start-up companies
  • AI devices distributors and sales firms
  • End users of AI infrastructure
  • Research institutes, organizations, and consulting companies

Scope of the report:

In this report, the AI infrastructure market has been segmented on the basis of:

  • Component
    • Hardware
    • Software
  • Deployment Model
    • On-Premise
    • Cloud
    • Hybrid
  • End User
    • Government Organizations
    • Enterprises
    • Cloud Service Providers (CSPs)
  • Region
    • North America
    • Europe
    • Asia Pacific (APAC)
    • South & Central America
    • Middle East & Africa
  • Companies profiled
    • Amazon Web Services, Inc. (Amazon.com, Inc.)
    •  Dell Technologies Inc.
    •  Google Inc.
    •  Intel Corporation
    •  IBM Corporation
    •  Microsoft Corporation
    •  Micron Technology, Inc.
    •  NVIDIA Corporation
    •  SAMSUNG
    •  Xilinx Inc.
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  •  Dell Technologies Inc.
  •  Google Inc.
  •  Intel Corporation
  •  IBM Corporation
  •  Microsoft Corporation
  •  Micron Technology, Inc.
  •  NVIDIA Corporation
  •  SAMSUNG
  •  Xilinx Inc.
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