AI Infrastructure Market

GMI Research analysis indicates that the AI Infrastructure Market size was estimated at USD 25.3 billion in 2021 and is slated to register a double digit CAGR of 25.6% over the period 2022-2029 and is projected to reach USD 156.7 billion in 2029

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Major AI Infrastructure Market Drivers

The increasing adoption of cloud machine learning systems in automotive, finance, tourism, and healthcare for improving computing power and decreasing hardware costs are driving the market. Adequate storage, managing, and interpreting of data have become essential for companies and are expected to supplement the market growth. Moreover, rapid advancements in software-defined infrastructure and cloud computing have rendered IT infrastructure flexible, intangible, and on-demand, which can be another factor to drive market growth. For instance, in 2020, NITI Aayog has released an approach paper to set up India’s first AI-specific cloud computing infrastructure called ‘AIRAWAT’ (AI Research, Analytics, and Knowledge Assimilation Platform). The platform aims to guide the research and development of new and emerging technologies.

Additionally, companies and industries are adopting AI infrastructure to improve operational efficiency and performance, reduce waste, conserve natural resources, and reach customers conveniently. Deep learning algorithms and machine learning algorithms help companies to achieve network efficiencies. For instance, in 2020, Ericsson launches AI-powered Energy Infrastructure Operations, a new energy management solution that leverages AI and advanced data analytics to reduce OPEX and CO2 emission from their networks while maximizing site availability.

Restraint in the AI infrastructure Market

However, companies require a skilled workforce for developing, managing, and implementing AI technology. AI in an existing system is a challenging task requiring well-funded in-house R&D. Even minor errors can lead to system failure and affect the outcome and desired result. Small factories and enterprises require more skillset as it could be difficult for lower-skilled, less-educated workers to access opportunities, which can hamper the AI infrastructure market.

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Offering – Segment Analysis

Based on offering, the hardware segment is projected to witness higher growth in the coming years. The hardware platform has a low procurement cost of entry and can be set up in minimal timeframes. A hardware platform with high computing power to process various AI software will fuel the growth of the AI infrastructure market. For instance, Intel is offering 3rd Gen Intel Xeon Scalable Processors, a balanced architecture that delivers built-in AI acceleration and advanced security capabilities, which allows optimizing the workloads securely where they perform best-from edge to cloud.

Technology – Segment Analysis

Based on technology, the machine learning is expected to witness higher growth in the coming years. Machine learning infrastructure supports every stage of machine learning workflow. It enables data scientists and engineers to manage and operate the various resources and processes required to train and deploy neural network models. For instance, Nvidia’s Volta architecture, dedicated to accelerating machine learning tasks. It can now be applied to every industry as it delivers 125 teraFLOPs per second (TFLOPS) of deep learning performance over a 5X increased speed.

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Regional – Segment Analysis

Based on region, the North America region is expected to grow as the largest market for AI infrastructure globally during the forecast period. North America is a technologically developed economy owing to a strong focus on R&D activities to develop new technologies. In addition, the presence of leading companies includes, Microsoft, Intel, Amazon, Google, and IBM, will further propel the growth of the AI infrastructure Market. For instance, Google is focusing on creating next-generation AI innovations for a smart future for GenZ. It will save thousands of hours of human effort for the next generation.

Top Market Players 

Several leading companies in the market include IBM, Microsoft, Google, Nvidia Corporation, Intel Corporation, Amazon, Samsung, Advanced Micro Devices, Xilinx, Micron Technology, and among others.

Key Developments:

• • In 2021, IBM introduced updates to its Elastic Storage System (ESS) which is highly scalable and designed for easy deployment. The model ESS 5000, now will deliver 10% greater storage capacity and ESS 3200 will offer double the read performance of its predecessor.
  • In 2020, IBM and AMD announced a multi-year joint development agreement. This agreement will expand the vision by building upon open-source software, open standards, and open system architectures to drive confidential computing in a hybrid cloud environment.

Segments covered in the Report:

The AI infrastructure Market has been segmented based on Offering, Technology, End-Users, and region. Based on Offering, the market is segmented into Hardware, Software. Based on Technology, market is segmented into Machine Learning, Deep Learning. Based on End-User, the market is segmented into Enterprises, Government, Cloud Service Provider.

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Market Segmentation

Global AI infrastructure Market by Offering

• • Hardware
  • Software

Global AI infrastructure Market by Technology

• • Machine Learning
  • Deep Learning

Global AI infrastructure Market by End-User

• • Enterprises
  • Government
  • Cloud Service Provider

Global AI infrastructure Market by Region

• • North America AI infrastructure Market (Option 1: As a part of the free 25% customization)

    • By Offering
    • By Technology
    • By End-User
    • US Market All-Up
    • Canada Market All-Up

  • Europe AI infrastructure Market (Option 2: As a part of the free 25% customization)

    • By Offering
    • By Technology
    • By End-User
    • UK Market All-Up
    • Germany Market All-Up
    • France Market All-Up
    • Spain Market All-Up
    • Rest of Europe Market All-Up

  • Asia-Pacific AI infrastructure Market (Option 3: As a part of the free 25% customization)

    • By Offering
    • By Technology
    • By End-User
    • China Market All-Up
    • India Market All-Up
    • Japan Market All-Up
    • Rest of APAC Market All-Up

  • RoW AI infrastructure Market (Option 4: As a part of the free 25% customization)

    • By Offering
    • By Technology
    • By End-User
    • Brazil Market All-Up
    • South Africa Market All-Up
    • Saudi Arabia Market All-Up
    • UAE Market All-Up
    • Rest of world (remaining countries of the LAMEA region) Market All-Up

Major Players Operating in the AI infrastructure market (Option 5: As a part of the Free 25% Customization – Profiles of 5 Additional Companies of your Choice)

• • IBM
  • Microsoft
  • Google
  • Nvidia Corporation
  • Intel Corporation
  • Amazon
  • Samsung
  • Advanced Micro Devices
  • Xilinx
  • Micron Technology