AI Infrastructure Market

AI Infrastructure Market



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The AI infrastructure market is projected to grow at a CAGR 20.98% rate during the forecast period. Major factors driving the market for AI infrastructure include increasing adoption of cloud machine learning platform, escalating demand for AI hardware in high-performance computing data centers, rising focus on parallel computing in AI data centers, growing volume of data generated in industries such as automotive and healthcare, improving computing power and declining hardware cost, growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance, and tourism.

Deep Learning Technology is estimated to grow at a higher CAGR during forecast period. AI infrastructure for deep learning technology enables a machine to build a hierarchical representation. For instance, the first layer of the captured image could scan for simple edges, followed by a layer that collects edge-forming shapes (such as rectangle or circle). The final layer could identify machine parts. After scanning several layers to identify the required data, the neural network can collate the features into an algorithm that can recognize the overall image.

Cloud Service Providers in APAC is estimated to grow at the highest CAGR during forecast period. Cloud service providers (CSPs) offer network services, infrastructure, or business applications in the cloud to various companies from industries such as automotive, healthcare, retail, and manufacturing.  The cloud mainly addresses 3 areas of operations: software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), and platform-as-a-service (PaaS).

North America is projected to hold the largest market share during forecast period. At present, 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 because of their strong focus on investing in R&D activities for the development of new technologies.

Key Market Players includes Intel Corporation (US), NVIDIA Corporation (US), IBM (US), Samsung Electronics (South Korea), Google (US), Microsoft (US), Micron Technology (US), Amazon Web Services (US), CISCO (US), Oracle (US), ARM (UK), Xilinx (US), Advanced Micro Devices (AMD) (US), Dell (US), HPE (US), Habana Labs (Israel), and Synopsys Inc. (US).

Key Questions Addressed by the Report

  • Where will all these developments take the industry in the mid to long term?
  • What will be the upcoming industries for AI infrastructure?
  • What are the drivers, challenges, and restraints impacting the market growth?
  • Which hardware components and software solutions are expected to be used widely to build AI infrastructure in the mid to long term?
  • Which region is expected to witness significant demand for AI infrastructure?


Market Definition

Study Scope

Study Period


2. Research Methodology

Secondary Research

Primary Research

Research Design

Data Validation

Limitation and Assumptions

3. Executive Overview

4. Market Overview





5. AI Infrastructure Market, By Application

Server software


6. AI Infrastructure Market, By End-User


Government organizations

Cloud service providers

7. AI Infrastructure Market, By Function



8. AI Infrastructure Market, By Technology

Machine learning

Deep learning

9. AI Infrastructure Market, By Deployment Type




10. AI Infrastructure Market, By Region

North America









      Rest of Europe

Asia Pacific



      South Korea



      Rest of APAC

Middle East


      Saudi Arabia

      Rest of Middle East

Rest of the World

       Latin America


11. Company Profiles

Nvidia Corporation

Micron Technology




Intel Corporation

Samsung Electronics



Amazon Web Services

12. Appendix



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