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Global AI Infrastructure Market: By Type: Hardware, Server Software; By Technology: Machine Learning, Deep Learning; By Deployment: On Premises, Cloud, Hybrid; By Function; By End Use; Regional Analysis; Historical Market and Forecast (2017-2027); Market Dynamics; Competitive Landscape; Industry Events and Developments

Global AI Infrastructure Market Outlook

The global AI infrastructure market is expected to grow from USD 13.8 billion in 2020 to USD 49.7 billion by 2026, growing at a CAGR of 23.81% in the forecast period of 2022-2027.

 

Global AI Infrastructure Market

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AI deep learning engineering architecture enables a computer to create a hierarchical representation. For example, the captured image of the first layer might scan for simple edges, followed by a layer collecting edge-forming shapes. The final layer was able to identify parts of the computer. The neural network can collate the features into an algorithm that can recognize the overall image after scanning many layers to find the required data. A large volume of information has been generated by the growing proliferation of robots, cybersecurity technologies, IoT, industrial automation, and machine vision technology. Its data serves as a deep learning software training platform that assists in testing and diagnosing processes.

 

Properties and Applications

The AI infrastructure market can be divided based on segments like type, technology, deployment, function, end-use, and region.

 

Global AI Infrastructure Market By Technology

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The industry can be broadly categorised on the basis of type into:

  • Hardware
  • Processor
  • CPU
  • GPU
  • FPGA
  • ASIC
  • Memory
  • Storage
  • Networking
  • Server Software

The industry can be divided based on technology into:

  • Machine Learning
  • Deep Learning

The industry can be divided on the basis of deployment as:

  • On Premises
  • Cloud
  • Hybrid

The industry can be segmented based on function as:

  • Training
  • Inference

The industry can be divided on the basis of end-use as:

  • Enterprises
  • Government Organisations
  • Cloud Service Providers
  • Others

The EMR report looks into the regional markets of AI infrastructure like North America, Latin America, Europe, the Middle East and Africa, and the Asia Pacific regions.

 

Global AI Infrastructure Market By Region

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Market Analysis

The major drivers of the AI technology market include the growing adoption of the cloud machine learning system, increasing demand for AI hardware in high-performance data centres, and rising emphasis on parallel computing in AI data centres. The increasing data volume produced in industries such as automotive and healthcare, improving computing power, decreasing hardware costs, a growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance, and tourism are further driving the market. One of the key factors restraining the development of the AI technology market is the economies within North America and Europe.

 

Competitive Landscape

The report presents a detailed analysis of the following key players in the global AI infrastructure market, looking into their capacity, competitive landscape, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:

  • Intel Corporation 
  • Nvidia Corporation 
  • Google LLC
  • Amazon Web Service
  • Microsoft Corporation 
  • Samsung
  • Xilinx, Inc. 
  • International Business Machines Corporation 
  • Cisco Systems, Inc. (NASDAQ: CSCO)
  • Arm Holdings
  • Others

The EMR report gives an in-depth insight into the industry by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.

 

REPORT FEATURES DETAILS
Base Year 2020
Historical Period 2017-2021
Forecast Period 2022-2027
Scope of the Report Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment- Type, Technology, Deployment, Function, End Use, Region
Breakup by Type Hardware, Server Software
Breakup by Technology Machine Learning, Deep Learning
Breakup by Deployment On Premises, Cloud, Hybrid
Breakup by Function Training, Inference
Breakup by End Use Enterprises, Government Organisations, Cloud Service Providers, Others
Breakup by Region North America, Europe, Asia Pacific, Latin America, Middle East and Africa
Market Dynamics SWOT, Porter's Five Forces, EMR’s Key Indicators for Price and Demand
Competitive Landscape Market Structure, Company Profiles- Company Overview, Product Portfolio, Demographic Reach and Achievements, Certifications
Companies Covered Intel Corporation (INTC (NASDAQ)), Nvidia Corporation (NVDA (NASDAQ)), Google LLC, Amazon Web Service, Microsoft Corporation (MSFT (NASDAQ)), Samsung, Xilinx, Inc. (XLNX (NASDAQ)), International Business Machines Corporation (IBM (NYSE)), Cisco Systems, Inc. (CSCO (NASDAQ)), Arm Holdings, Others
Report Price and Purchase Option Explore our purchase options that are best suited to your resources and industry needs.
Delivery Format Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option.

 

*We at Expert Market Research always thrive to give you the latest information. The numbers in the article are only indicative and may be different from the actual report.

1    Preface
2    Report Coverage – Key Segmentation and Scope
3    Report Description

    3.1    Market Definition and Outlook
    3.2    Properties and Applications
    3.3    Market Analysis
    3.4    Key Players
4    Key Assumptions
5    Executive Summary

    5.1    Overview
    5.2    Key Drivers
    5.3    Key Developments
    5.4    Competitive Structure
    5.5    Key Industrial Trends
6    Snapshot
    6.1    Global
    6.2    Regional
7    Industry Opportunities and Challenges
8    Global AI Infrastructure Market Analysis

    8.1    Key Industry Highlights
    8.2    Global AI Infrastructure Historical Market (2017-2021)
    8.3    Global AI Infrastructure Market Forecast (2022-2027)
    8.4    Global AI Infrastructure Market by Type
        8.4.1    Hardware
            8.4.1.1    Market Share
            8.4.1.2    Historical Trend (2017-2021)
            8.4.1.3    Forecast Trend (2022-2027)
                8.4.1.3.1    Processor
                    8.4.1.3.1.1    CPU
                    8.4.1.3.1.2    GPU
                    8.4.1.3.1.3    FPGA
                    8.4.1.3.1.4    ASIC
                8.4.1.3.2    Memory
                8.4.1.3.3    Storage
                8.4.1.3.4    Networking
        8.4.2    Server Software
            8.4.2.1    Market Share
            8.4.2.2    Historical Trend (2017-2021)
            8.4.2.3    Forecast Trend (2022-2027)
    8.5    Global AI Infrastructure Market by Technology
        8.5.1    Machine Learning
            8.5.1.1    Market Share
            8.5.1.2    Historical Trend (2017-2021)
            8.5.1.3    Forecast Trend (2022-2027)
        8.5.2    Deep Learning
            8.5.2.1    Market Share
            8.5.2.2    Historical Trend (2017-2021)
            8.5.2.3    Forecast Trend (2022-2027)
    8.6    Global AI Infrastructure Market by Deployment
        8.6.1    On Premise
            8.6.1.1    Market Share
            8.6.1.2    Historical Trend (2017-2021)
            8.6.1.3    Forecast Trend (2022-2027)
        8.6.2    Cloud
            8.6.2.1    Market Share
            8.6.2.2    Historical Trend (2017-2021)
            8.6.2.3    Forecast Trend (2022-2027)
        8.6.3    Hybrid
            8.6.3.1    Market Share
            8.6.3.2    Historical Trend (2017-2021)
            8.6.3.3    Forecast Trend (2022-2027)
    8.7    Global AI Infrastructure Market by Function
        8.7.1    Training
            8.7.1.1    Market Share
            8.7.1.2    Historical Trend (2017-2021)
            8.7.1.3    Forecast Trend (2022-2027)
        8.7.2    Inference
            8.7.2.1    Market Share
            8.7.2.2    Historical Trend (2017-2021)
            8.7.2.3    Forecast Trend (2022-2027)
    8.8    Global AI Infrastructure Market by End Use
        8.8.1    Enterprises
            8.8.1.1    Market Share
            8.8.1.2    Historical Trend (2017-2021)
            8.8.1.3    Forecast Trend (2022-2027)
        8.8.2    Government Organizations
            8.8.2.1    Market Share
            8.8.2.2    Historical Trend (2017-2021)
            8.8.2.3    Forecast Trend (2022-2027)
        8.8.3    Cloud Service Providers
            8.8.3.1    Market Share
            8.8.3.2    Historical Trend (2017-2021)
            8.8.3.3    Forecast Trend (2022-2027)
    8.9    Global AI Infrastructure Market by Region
        8.9.1    Market Share
            8.9.1.1    North America
            8.9.1.2    Europe
            8.9.1.3    Asia Pacific
            8.9.1.4    Latin America
            8.9.1.5    Middle East and Africa
9    Regional Analysis
    9.1    North America
        9.1.1    Historical Trend (2017-2021)
        9.1.2    Forecast Trend (2022-2027)
        9.1.3    Breakup by Country
            9.1.3.1    United States of America 
            9.1.3.2    Canada
    9.2    Europe
        9.2.1    Historical Trend (2017-2021)
        9.2.2    Forecast Trend (2022-2027)
        9.2.3    Breakup by Country 
            9.2.3.1    United Kingdom
            9.2.3.2    Germany
            9.2.3.3    France
            9.2.3.4    Italy
            9.2.3.5    Spain
            9.2.3.6    Others
    9.3    Asia Pacific
        9.3.1    Historical Trend (2017-2021)
        9.3.2    Forecast Trend (2022-2027)
        9.3.3    Breakup by Country
            9.3.3.1    China
            9.3.3.2    Japan
            9.3.3.3    India
            9.3.3.4    ASEAN
            9.3.3.5    Australia
            9.3.3.6    Others
    9.4    Latin America
        9.4.1    Historical Trend (2017-2021)
        9.4.2    Forecast Trend (2022-2027)
        9.4.3    Breakup by Country
            9.4.3.1    Brazil
            9.4.3.2    Argentina
            9.4.3.3    Mexico
            9.4.3.4    Others
    9.5    Middle East and Africa
        9.5.1    Historical Trend (2017-2021)
        9.5.2    Forecast Trend (2022-2027)
        9.5.3    Breakup by Country
            9.5.3.1    Saudi Arabia
            9.5.3.2    United Arab Emirates
            9.5.3.3    Nigeria
            9.5.3.4    South Africa
            9.5.3.5    Others
10    Market Dynamics
    10.1    SWOT Analysis
        10.1.1    Strengths
        10.1.2    Weaknesses
        10.1.3    Opportunities
        10.1.4    Threats
    10.2    Porter’s Five Forces Analysis
        10.2.1    Supplier’s Power
        10.2.2    Buyer’s Power
        10.2.3    Threat of New Entrants
        10.2.4    Degree of Rivalry
        10.2.5    Threat of Substitutes
    10.3    EMR’s Key Indicators for Demand
    10.4    EMR’s Key Indicators for Price
11    Competitive Landscape
    11.1    Market Structure
    11.2    Company Profiles
        11.2.1    Intel Corporation
            11.2.1.1    Company Overview
            11.2.1.2    Product Portfolio
            11.2.1.3    Demographic Reach and Achievements
            11.2.1.4    Certifications
        11.2.2    Nvidia Corporation
            11.2.2.1    Company Overview
            11.2.2.2    Product Portfolio
            11.2.2.3    Demographic Reach and Achievements
            11.2.2.4    Certifications
        11.2.3    Google LLC
            11.2.3.1    Company Overview
            11.2.3.2    Product Portfolio
            11.2.3.3    Demographic Reach and Achievements
            11.2.3.4    Certifications
        11.2.4    Microsoft Corporation
            11.2.4.1    Company Overview
            11.2.4.2    Product Portfolio
            11.2.4.3    Demographic Reach and Achievements
            11.2.4.4    Certifications
        11.2.5    Cisco Systems, Inc.
            11.2.5.1    Company Overview
            11.2.5.2    Product Portfolio
            11.2.5.3    Demographic Reach and Achievements
            11.2.5.4    Certifications
        11.2.6    Others
12    Industry Events and Developments


List of Figures and Tables

1.    Global AI Infrastructure Market: Key Industry Highlights, 2016 and 2026
2.    Global AI Infrastructure Historical Market: Breakup by Type (USD Million), 2017-2021
3.    Global AI Infrastructure Market Forecast: Breakup by Type (USD Million), 2022-2027
4.    Global AI Infrastructure Historical Market: Breakup by Technology (USD Million), 2017-2021
5.    Global AI Infrastructure Market Forecast: Breakup by Technology (USD Million), 2022-2027
6.    Global AI Infrastructure Historical Market: Breakup by Deployment (USD Million), 2017-2021
7.    Global AI Infrastructure Market Forecast: Breakup by Deployment (USD Million), 2022-2027
8.    Global AI Infrastructure Historical Market: Breakup by Function (USD Million), 2017-2021
9.    Global AI Infrastructure Market Forecast: Breakup by Function (USD Million), 2022-2027
10.    Global AI Infrastructure Historical Market: Breakup by End Use (USD Million), 2017-2021
11.    Global AI Infrastructure Market Forecast: Breakup by End Use (USD Million), 2022-2027
12.    Global AI Infrastructure Historical Market: Breakup by Region (USD Million), 2017-2021
13.    Global AI Infrastructure Market Forecast: Breakup by Region (USD Million), 2022-2027
14.    North America AI Infrastructure Historical Market: Breakup by Country (USD Million), 2017-2021
15.    North America AI Infrastructure Market Forecast: Breakup by Country (USD Million), 2022-2027
16.    Europe AI Infrastructure Historical Market: Breakup by Country (USD Million), 2017-2021
17.    Europe AI Infrastructure Market Forecast: Breakup by Country (USD Million), 2022-2027
18.    Asia Pacific AI Infrastructure Historical Market: Breakup by Country (USD Million), 2017-2021
19.    Asia Pacific AI Infrastructure Market Forecast: Breakup by Country (USD Million), 2022-2027
20.    Latin America AI Infrastructure Historical Market: Breakup by Country (USD Million), 2017-2021
21.    Latin America AI Infrastructure Market Forecast: Breakup by Country (USD Million), 2022-2027
22.    Middle East and Africa AI Infrastructure Historical Market: Breakup by Country (USD Million), 2017-2021
23.    Middle East and Africa AI Infrastructure Market Forecast: Breakup by Country (USD Million), 2022-2027
24.    Global AI Infrastructure Market Structure

Key Questions Answered in the Report

In 2020, the global AI infrastructure market attained a value of nearly USD 13.8 billion.

The market is projected to grow at a CAGR of 23.81% between 2021 and 2026.

The market is estimated to witness a healthy growth in the forecast period of 2022-2027 to reach about USD 49.7 billion by 2026.

The major drivers of the industry, such as the growing acceptance of technology, shift towards cloud machine learning system, growing preference for AI based hardware and software, increased data volume from healthcare industry and other sectors, and the growing focus on parallel computing in AI data centres, are expected to aid the market growth.

The key market trends guiding the growth of the AI infrastructure industry include cross-industry partnerships and collaborations and the growing technological advancements.

The major regions in the industry are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.

Hardware and server software are the major AI infrastructure types in the industry.

Machine learning and deep learning are the significant technologies of the product in the market.

On premises, cloud, and hybrid are the major AI infrastructure deployments in the industry.

Training and inference are the leading functions of the product in the industry.

Enterprises, government organisations, and cloud service providers, among others, are the significant end use sectors in the market.

The major players in the industry are Intel Corporation, Nvidia Corporation, Google LLC, Amazon Web Service, Microsoft Corporation, Samsung, Xilinx, Inc., International Business Machines Corporation, Cisco Systems, Inc., and Arm Holdings, among others.

Analyst Review

The global AI infrastructure market attained a value of USD 13.8 billion in 2020, driven by the increasing data inflow from several industries and the growing adoption of cloud-based AI infrastructure. Aided by the technological advancements and the increased cross-industry collaborations among manufacturers, the market is expected to witness a further growth in the forecast period of 2022-2027, growing at a CAGR of 23.81%. The market is projected to reach USD 49.7 billion by 2026.

EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on types, the AI infrastructure industry can be bifurcated into hardware and server software. On the basis of technology, the industry is categorised into machine learning and deep learning. By deployment, the market is divided into on premises, cloud, and hybrid. Based on function, the industry is bifurcated into training and inference. On the basis of end use, the industry is segregated into enterprises, government organisations, and cloud service providers, among others. The major regional markets for AI infrastructure are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. The key players in the above market include Intel Corporation, Nvidia Corporation, Google LLC, Amazon Web Service, Microsoft Corporation, Samsung, Xilinx, Inc., International Business Machines Corporation, Cisco Systems, Inc., and Arm Holdings, among others.

EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.

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