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      The Worldwide AI-powered Storage Industry is Projected to Reach $37.7 Billion by 2027

      Research and Markets Logo

      News provided by

      Research and Markets

      Jun 13, 2022, 15:15 ET

      Share this article

      Share this article


      DUBLIN, June 13, 2022 /PRNewswire/ -- The "Global AI-powered Storage Market (2022-2027) by Storage System, Offering, Storage Architecture, Storage Medium, End Users Industry, Geography, Competitive Analysis, and the Impact of Covid-19 with Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.

      The Global AI-powered Storage Market is estimated to be USD 11.64 Bn in 2022 and is projected to reach USD 37.77 Bn by 2027, growing at a CAGR of 26.54%.

      Market dynamics are forces that impact the prices and behaviors of the Global AI-powered Storage Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

      As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

      Company Profiles

      The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Advanced Micro Devices, Amazon Web Services, Arm, Cadence Design Systems, Cisco Systems, etc.

      Countries Studied

      • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
      • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
      • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
      • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

      Competitive Quadrant

      The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

      Ansoff Analysis

      The report presents a detailed Ansoff matrix analysis for the Global AI-powered Storage Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.

      The report analyses the Global AI-powered Storage Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.

      Based on the SWOT analysis conducted on the industry and industry players, the analyst has devised suitable strategies for market growth.

      Why buy this report?

      • The report offers a comprehensive evaluation of the Global AI-powered Storage Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
      • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
      • The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
      • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
      • The report also contains the competitive analysis using Positioning Quadrants, the analyst's Proprietary competitive positioning tool.

      Key Topics Covered:

      1 Report Description

      2 Research Methodology

      3 Executive Summary

      4 Market Dynamics
      4.1 Drivers
      4.1.1 Increasing Adoption of Cloud-Based Services and Applications
      4.1.2 Increasing Requirement of AI in High Performance Computing Data Centres
      4.1.3 Adoption of robotics in warehousing
      4.1.4 Decision Making Is Driven by Rising Adoption of Data Analytics
      4.2 Restraints
      4.2.1 Lack of Technically Skilled Personnel in AI Hardware and Irregularity of AI Algorithms
      4.2.2 Irregularity of AI Algorithms Coupled with Lack of Skilled Professionals
      4.3 Opportunities
      4.3.1 Growing Government Regulations Related with Data Generation
      4.3.2 Demand for AI in High Performance Computing Data centres
      4.4 Challenges
      4.4.1 Increasing Concerns Related with Data Privacy

      5 Market Analysis
      5.1 Regulatory Scenario
      5.2 Porter's Five Forces Analysis
      5.3 Impact of COVID-19
      5.4 Ansoff Matrix Analysis

      6 Global AI-powered Storage Market, By Storage System
      6.1 Introduction
      6.2 Network Attached Storage (NAS)
      6.3 Direct Attached Storage (DAS)
      6.4 Storage Area Network (SAN)

      7 Global AI-powered Storage Market, By Offering
      7.1 Introduction
      7.2 Hardware
      7.2.1 Storage Medium
      7.2.1.1 SSD
      7.2.1.2 HDD
      7.2.2 Other Hardware
      7.2.2.1 CPU
      7.2.2.2 GPU
      7.3 Software

      8 Global AI-powered Storage Market, By Storage Architecture
      8.1 Introduction
      8.2 Object Storage
      8.3 File and Object Based Storage

      9 Global AI-powered Storage Market, By Storage Medium
      9.1 Introduction
      9.2 Solid State Drive (SSD)
      9.3 Hard Disk Drive (HDD)

      10 Global AI-powered Storage Market, By End Users Industry
      10.1 Introduction
      10.2 Enterprises
      10.2.1 BFSI
      10.2.2 Healthcare
      10.2.3 Media and Entertainment
      10.2.4 Retail
      10.2.5 Consumer Goods
      10.2.6 Manufacturing
      10.2.7 Other Enterprises
      10.2.7.1 Aerospace and Defense
      10.2.7.2 Business and Consulting
      10.2.7.3 Education and Research
      10.2.7.4 Energy
      10.3 Government Bodies
      10.4 Cloud Service Providers
      10.5 Telecom Companies

      11 Americas' AI-powered Storage Market
      11.1 Introduction
      11.2 Argentina
      11.3 Brazil
      11.4 Canada
      11.5 Chile
      11.6 Colombia
      11.7 Mexico
      11.8 Peru
      11.9 United States
      11.10 Rest of Americas

      12 Europe's AI-powered Storage Market
      12.1 Introduction
      12.2 Austria
      12.3 Belgium
      12.4 Denmark
      12.5 Finland
      12.6 France
      12.7 Germany
      12.8 Italy
      12.9 Netherlands
      12.10 Norway
      12.11 Poland
      12.12 Russia
      12.13 Spain
      12.14 Sweden
      12.15 Switzerland
      12.16 United Kingdom
      12.17 Rest of Europe

      13 Middle East and Africa's AI-powered Storage Market
      13.1 Introduction
      13.2 Egypt
      13.3 Israel
      13.4 Qatar
      13.5 Saudi Arabia
      13.6 South Africa
      13.7 United Arab Emirates
      13.8 Rest of MEA

      14 APAC's AI-powered Storage Market
      14.1 Introduction
      14.2 Australia
      14.3 Bangladesh
      14.4 China
      14.5 India
      14.6 Indonesia
      14.7 Japan
      14.8 Malaysia
      14.9 Philippines
      14.10 Singapore
      14.11 South Korea
      14.12 Sri Lanka
      14.13 Thailand
      14.14 Taiwan
      14.15 Rest of Asia-Pacific

      15 Competitive Landscape
      15.1 Competitive Quadrant
      15.2 Market Share Analysis
      15.3 Strategic Initiatives
      15.3.1 M&A and Investments
      15.3.2 Partnerships and Collaborations
      15.3.3 Product Developments and Improvements

      16 Company Profiles
      16.1 Advanced Micro Devices
      16.2 Amazon Web Services
      16.3 Arm
      16.4 Cadence Design Systems
      16.5 Cisco Systems
      16.6 Dell
      16.7 Google
      16.8 Graphcore
      16.9 Gyrfalcon Technology
      16.10 Hewlett Packard Enterprise Development
      16.11 IBM Technology company
      16.12 Intel
      16.13 Lenovo
      16.14 Micron Technology
      16.15 Microsoft
      16.16 MIPS Technologies
      16.17 Nvidia
      16.18 Pure Storage
      16.19 Samsung Electronics
      16.20 SK hynix
      16.21 Synopsys
      16.22 Xilinx

      17 Appendix

      For more information about this report visit https://www.researchandmarkets.com/r/98vfsz

      Media Contact:

      Research and Markets
      Laura Wood, Senior Manager
      [email protected]

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