736 , Shakti Khund III , New Delhi
+1778-732-2565

Global AI Infrastructure Market By Offering (CPU, GPU, Others), By Technology (Deep Learning, Machine Learning, Others), By Deployment Type (Hybrid, Cloud, Others), By End-Users, By Region, Forecast & Opportunities to 2026

The global AI infrastructure market accounted for a value of 11.9 billion in 2019 and is projected to register growth at a CAGR of 18.3% during forecast period.

COVID-19 has impacted the AI infrastructure market. The spending in global AI technology is expected to decline by the end of 2020. The artificial intelligence infrastructure growth has slowed down due to reduced manufacturing capacity and slowdown of hardware supply. The solution and service providing businesses are estimated to showcase decline for a short time whereas the adoption of analytics, AI, security and collaboration is expected to foresee growth in this ongoing pandemic.

Definition:

Artificial Intelligence can be defined as intelligence demonstrated by machines. AI infrastructure enables data engineers, data scientist, DevOps and software engineers teams to access and manage the computing resources to train, test and deploy AI algorithms.

Market Dynamics (Drivers/Opportunities):         

The adoption of cloud computing and machine learning platform is increasing. The demand for AI hardware in high performance computing data centers is rapidly increasing. The focus towards parallel computing in AI data is increasing and this drives growth in AI infrastructure market during forecast period.

The data in industries such as healthcare and automotive is generated in large volumes which can be managed using AI and cloud computing. The computing power is improving and hardware is declining by the use of AI. The AI application in various industries is increasing around the world and this drives growth in AI infrastructure market during forecast period.

Market Insights, by Technology

On the basis of technology, the AI infrastructure market is segmented into deep learning and machine learning. The deep learning segment is estimated to grow at higher CAGR during forecast period. The deep learning technology enables a machine to build a hierarchical representation. The adoption of robots, IoT, Industrial automation, cybersecurity applications and machine vision technology is increasing around world. The deep learning technology helps in diagnosis and testing processes and it helps managing data. This increases adoption of deep learning technology and drives growth in this segment during forecast period.

Market Insights, by End-Users

On the basis of end-users, the AI infrastructure market is segmented into cloud service providers, enterprises and government organizations. The cloud service providers segment is estimated to grow at highest CAGR during forecast period. The cloud service providers offer network services, businesses applications and infrastructure in the cloud to various companies from different industries such as retail, automotive, manufacturing and healthcare. The adoption of cloud service providers is increasing and this drives growth in cloud service providers segment during forecast period.

Regional Insights

North America region is estimated to hold largest market share during forecast period. The US and Canada are estimated to dominate the AI infrastructure market in North America region. The advancement is technology is rapidly increasing in this region and the investment in research & development in AI segment is rapidly increasing. The focus towards research & development segment is increasing to develop new technologies.  The adoption of AI technology is higher in this region and this drives growth in North America region during forecast period.

Key Companies & Market Share Insights

The key market players in AI infrastructure sector are Intel Corporation, NVIDIA Corporation, Samsung Electronics, Micron Technology, Xilinx, Advanced Micro Devices, IBM, Google, Microsoft, Amazon Web Services, Cisco, ARM, Dell, HPE, Synopsys Inc. and Habana Labs.

Segments Covered in the Report

This report forecasts The Global AI Infrastructure Market, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2020 to 2026. For the purpose of this study, Our Company has segmented the global AI infrastructure market report on the basis of offering, technology, deployment type and end-users.

AI Infrastructure Market Size & Forecast (2017-2026)

  1. Research Framework
    • Market Definition and Product Overview
    • Market Segmentation
  2. Research Methodology
    • Qualitative Research
      • Primary & Secondary Sources
    • Quantitative Research
      • Primary & Secondary Sources
    • Breakdown of Primary Research Respondents, By Region
      • Secondary Research
      • Primary Research
    • Breakdown of Primary Research Respondents, By Industry Participants
      • Market Size Estimation
      • Assumption for the Study
      • Market Breakdown & Data Triangulation
  1. Executive Summary
    • Market Snapshot
  2. Industry Insights
    • Industry ecosystem analysis
      • Value Chain Analysis
    • Industry impact and forces
      • Growth Drivers
      • Challenges &Restraints
      • Opportunities
    • Disruptive Technological Analysis
    • Regulatory framework
      • North America
      • Europe
      • Asia Pacific
      • Middle East & Africa
      • South America
    • Growth potential analysis, 2019
    • Porter’s Five forces analysis
    • Pricing Analysis
      • North America
      • Europe
      • Asia Pacific
      • Middle East & Africa
      • South America
  1. COVID – Impact Analysis
    • North America
    • Europe
    • Asia Pacific
    • Middle East & Africa
    • South America
  2. AI Infrastructure Market, By Offering, Market Size & Forecast To 2026

(USD Million 2017,2018, 2019, 2020, 2021-e-2026-p)

  • Introduction
  • Processor
  • Hardware
  • CPU
  • GPU
  • FPGA
  • ASIC
  • Storage
  • Memory
  • Networking
  • Server Software
  1. AI Infrastructure Market, By Technology, Market Size & Forecast To 2026

(USD Million 2017,2018, 2019, 2020, 2021-e-2026-p)

  • Introduction
  • Deep Learning
  • Machine Learning
  1. AI Infrastructure Market, By Deployment Type , Market Size & Forecast To 2026

(USD Million 2017,2018, 2019, 2020, 2021-e-2026-p)

  • Introduction
  • Hybrid
  • Cloud
  • On-Premises
  1. AI Infrastructure Market, By End-Users, Market Size & Forecast To 2026

(USD Million 2017,2018, 2019, 2020, 2021-e-2026-p)

  • Introduction
  • Cloud Service Providers
  • Enterprises
  • Government Organizations
  1. AI Infrastructure Market, By Region, Market Size & Forecast To 2026

(USD Million 2017,2018, 2019, 2020, 2021-e-2026-p)

  • Introduction
  • North America Market Size & Forecast To 2026
    • Market Overview
    • COVID-19 Impact
    • By Offering
    • By Technology
    • By Deployment Type
    • By End-Users
    • By Country
      • USA
        • By End-Users
      • Canada
      • Mexico
    • South America Market Size & Forecast To 2026
      • Market Overview
      • COVID-19 Impact
      • By Offering
      • By Technology
      • By Deployment Type
      • By End-Users
      • By Country
        • Brazil
          • By End-Users
        • Argentina
        • Chile
        • Rest of South America
      • Europe Market Size & Forecast To 2026
        • Market Overview
        • COVID-19 Impact
        • By Offering
        • By Technology
        • By End-Users
        • By Country
          • UK
            • By End-Users
          • Germany
          • France
          • Italy
          • Rest of Europe
        • APAC Market Size & Forecast To 2026
          • Market Overview
          • COVID-19 Impact
          • By Offering
          • By Technology
          • By Deployment Type
          • By End-Users
          • By Country
            • China
              • By End-Users
            • India
            • Japan
            • South Korea
            • Australia
            • Rest of APAC
          • Middle East & Africa Market Size & Forecast To 2026
            • Market Overview
            • COVID-19 Impact
            • By Offering
            • By Technology
            • By Deployment Type
            • By End-Users
            • By Country
              • Saudi Arabia
                • By End-Users
              • UAE
              • Qatar
              • Kuwait
              • South Africa
              • Rest of Middle East & Africa
  1. Competitive Landscaping
    • Competitive Benchmarking
      • Market Share Analysis, 2019
      • Global Presence and Growth Strategies
        • Mergers & Acquisitions
        • New Product Launches
        • Investments Trends
        • R&D Initiatives
  1. Company Profile
    • Habana Labs
      • Company Overview
      • Financial Overview
      • Product Portfolio
      • Recent Developments
      • SWOT Analysis
      • Strategic Outlook
    • Intel Corporation
    • NVIDIA Corporation
    • Samsung Electronics
    • Micron Technology
    • Xilinx
    • Advanced Micro Devices
    • IBM
    • Google
    • Microsoft
    • Amazon Web Services
    • Cisco
    • ARM
    • Dell
    • HPE
    • Synopsys Inc.
  2. Appendix
    • Interrelated Market

Research Methodology

1.1     Research Methodology

The process of market research at PAN Market Consulting is very intuitive being iterative in nature and usually follows the path where Information gathered from secondary research is used to build data models, which are than validated from primary participants. Then same cycle repeats where, according to inputs from primary participants, additional secondary research is done, and new information type is again incorporated into data model. The process continues till desired level of information is not generated.

To calculate the market size, the report considers the revenue generated from the sales of the product/services. The revenue generated from the sales of product/services has been calculated through primary and secondary research. The report also analyses the key players operating in the market at the global level which are identified through secondary research and a corresponding detailed analysis of the top vendors in the market. The market size calculation also includes product segmentation determined using secondary sources and verified through primary sources.

1.2     Secondary Research

The secondary research source that are typically referred to include, but are not limited to:

  • Company websites, annual reports, financial reports, broker reports, investor presentations and SEC filings
  • Internal and external proprietary databases, relevant patent and regulatory databases
  • National government documents, statistical databases and market reports
  • News articles, press releases and web-casts specific to the companies operating in the market

The source for secondary research includes but is not limited to Factiva, Hoovers and Statista

SecondaryResearch

1.3     Primary Research

We conduct primary interviews on an ongoing basis with industry participants and commentators in order to validate data and analysis. A typical research interview fulfills the following end users:

  • It provides first-hand information on the market size, market trends, growth trends, competitive landscape, future outlook etc.
  • Helps in validating and strengthening the secondary research findings
  • Further develops the analysis team’s expertise and market understanding
  • Primary research involves E-mail interactions, telephonic interviews as well as face-to-face interviews for each market, category, segment and sub-segment across geographies

The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: CEOs, VPs, marketing/ product managers, market intelligence managers and national sales managers
  • Purchasing managers, technical personnel, distributors and resellers
  • Outside experts: Investment bankers, valuation experts, research analysts specializing in specific markets
  • Key opinion leaders specializing in different areas corresponding to different industry end users

1.4     Models

Where no hard data is available, we use modeling and estimates in order to produce comprehensive data sets. A rigorous methodology is adopted in which the available hard data is cross referenced with the following data products to produce estimates:

  • Demographic data: Population split by segment
  • Macro-economic indicators: GDP, etc.
  • Industry indicators: Expenditure, product stage & infrastructure, sector growth and facilities.

Data is then cross checked by the expert panel.

1.4.1 Company Share Analysis Model

Company share analysis is used to derive the size of global market. As well as study of revenues of companies for last three to five years also provide the base for forecasting the market size and its growth rate. This model is built in following steps:

ResearchMethodology1

1.4.2 Revenue Based Modeling

Revenue based models can be built in two ways – Top-Down or Bottom-Up irrespective of industry. Market size estimated from company share analysis acts as a validation point for bottom-up approach whereas it acts as starting point for top-down approach.

ResearchMethodology2

Please share your details to receive a sample copy of the report

Single User : $3750
Multi User : $6100
Buy Now

 

Why Choose Us

  • 24*7 Post Sales Support
  • Speak to Analyst for Presentations
  • 15% Free Customization
  • Global, Regional & Country level reports
  • Special Discounts for Startups & Educational Institutions

Questions ?

  • What is 15% Free Customization?
  • What is Report Subscription?
  • What is the Delivery Time of the Report?

What You Get

Data Excel Sheets

Report in PDF

Report Subscription

Analyst Support

What's Included

Market Intelligence

Competitive Intelligence

Opportunities and Challenges

Strategic Recommendations