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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1543742

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1543742

Global AI Powered Storage Market Size Study, by Storage System, by Storage Architecture, by Storage Medium, by End-user, and Regional Forecasts 2022-2032

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Global AI Powered Storage Market is valued at approximately USD 23.24 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 25.2% over the forecast period 2024-2032. AI-powered storage refers to data storage solutions that leverage artificial intelligence technologies to optimize the storage, management, and retrieval of data. These solutions integrate AI algorithms and machine learning models to enhance the performance, efficiency, and scalability of storage systems. The burgeoning volumes of data, increasing demand for AI in HPC data centers, and the rising adoption of cloud-based services are some of the pivotal factors driving the market growth. AI-powered storage systems facilitate enhanced storage architecture and data analytics for informed decision-making, further propelling market expansion.

The rising uptake of cloud-based services has significantly aided market growth. Cloud computing platforms offer unlimited flexibility and reliability, prompting numerous businesses to adopt these services. Modern storage systems and applications, in conjunction with AI-powered storage solutions, streamline the optimization of data and storage for businesses, making it easier to manage and contribute to the market's growth. Moreover, the increased usage of AI management tools and the rising adoption of data analytics present various lucrative opportunities over the forecast years. However, the market faces challenges such as a lack of experienced professionals and knowledge of AI hardware. Implementing AI-powered storage systems is costly and requires substantial investments and skilled personnel. Addressing this challenge is crucial for the widespread adoption of AI-powered storage solutions.

The key regions considered for the Global AI Powered Storage Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is a dominating region in the Global AI Powered Storage Market in terms of revenue. The market growth in the region is being attributed to factors including increasing technological advancements, the strong presence of key players in the data storage industry, heightened awareness, and the availability of trained professionals. Whereas, the market in Asia Pacific is anticipated to grow at the fastest rate over the forecast period fueled by the rise in the use of robotics, increasing demand for cloud-based services, rapid internet penetration, and digitization of businesses in the region.

Major market players included in this report are:

  • NVIDIA Corporation (U.S.)
  • Intel Corporation (U.S.)
  • Pure Storage, Inc. (U.S.)
  • Infortrend Technology Inc. (Taiwan)
  • Huawei Technologies Co., Ltd. (China)
  • IBM Corporation (U.S.)
  • NetApp (U.S.)
  • Hewlett Packard Enterprise Development LP (U.S.)
  • Dell Inc. (U.S.)
  • Micron Technology, Inc. (U.S.)
  • Western Digital Corporation
  • Seagate Technology Holdings plc
  • Hitachi Vantara LLC
  • Oracle Corporation
  • Cisco Systems, Inc.

The detailed segments and sub-segment of the market are explained below:

By Storage System:

  • Direct Attached Storage (DAS)
  • Network Attached Storage (NAS)
  • Storage Area Network (SAN)

By Storage Architecture:

  • File Based
  • Object Based

By Storage Medium:

  • Hard Disk Drive (HDD)
  • Solid State Drive (SSD)

By End-user:

  • Enterprises
  • Telecom Companies
  • Cloud Service Providers (CSPs)
  • Government Bodies

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global AI Powered Storage Market Executive Summary

  • 1.1. Global AI Powered Storage Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Storage System
    • 1.3.2. By Storage Architecture
    • 1.3.3. By Storage Medium
    • 1.3.4. By End-user
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global AI Powered Storage Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global AI Powered Storage Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Rising Uptake of Cloud-based Services
    • 3.1.2. Burgeoning Volumes of Data
    • 3.1.3. Increasing Demand for AI in HPC Data Centers
  • 3.2. Market Challenges
    • 3.2.1. Lack of Experienced Professionals
    • 3.2.2. High Costs and Complexity of Implementation
  • 3.3. Market Opportunities
    • 3.3.1. Increased Usage of AI Management Tools
    • 3.3.2. Rising Adoption of Data Analytics

Chapter 4. Global AI Powered Storage Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global AI Powered Storage Market Size & Forecasts by Storage System 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global AI Powered Storage Market: Storage System Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Direct Attached Storage (DAS)
    • 5.2.2. Network Attached Storage (NAS)
    • 5.2.3. Storage Area Network (SAN)

Chapter 6. Global AI Powered Storage Market Size & Forecasts by Storage Architecture 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global AI Powered Storage Market: Storage Architecture Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. File Based
    • 6.2.2. Object Based

Chapter 7. Global AI Powered Storage Market Size & Forecasts by Storage Medium 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global AI Powered Storage Market: Storage Medium Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Hard Disk Drive (HDD)
    • 7.2.2. Solid State Drive (SSD)

Chapter 8. Global AI Powered Storage Market Size & Forecasts by End-user 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global AI Powered Storage Market: End-user Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 8.2.1. Enterprises
    • 8.2.2. Telecom Companies
    • 8.2.3. Cloud Service Providers (CSPs)
    • 8.2.4. Government Bodies

Chapter 9. Global AI Powered Storage Market Size & Forecasts by Region 2022-2032

  • 9.1. North America AI Powered Storage Market
    • 9.1.1. U.S. AI Powered Storage Market
      • 9.1.1.1. Storage System breakdown size & forecasts, 2022-2032
      • 9.1.1.2. Storage Architecture breakdown size & forecasts, 2022-2032
      • 9.1.1.3. Storage Medium breakdown size & forecasts, 2022-2032
      • 9.1.1.4. End-user breakdown size & forecasts, 2022-2032
    • 9.1.2. Canada AI Powered Storage Market
  • 9.2. Europe AI Powered Storage Market
    • 9.2.1. U.K. AI Powered Storage Market
    • 9.2.2. Germany AI Powered Storage Market
    • 9.2.3. France AI Powered Storage Market
    • 9.2.4. Spain AI Powered Storage Market
    • 9.2.5. Italy AI Powered Storage Market
    • 9.2.6. Rest of Europe AI Powered Storage Market
  • 9.3. Asia-Pacific AI Powered Storage Market
    • 9.3.1. China AI Powered Storage Market
    • 9.3.2. India AI Powered Storage Market
    • 9.3.3. Japan AI Powered Storage Market
    • 9.3.4. Australia AI Powered Storage Market
    • 9.3.5. South Korea AI Powered Storage Market
    • 9.3.6. Rest of Asia Pacific AI Powered Storage Market
  • 9.4. Latin America AI Powered Storage Market
    • 9.4.1. Brazil AI Powered Storage Market
    • 9.4.2. Mexico AI Powered Storage Market
    • 9.4.3. Rest of Latin America AI Powered Storage Market
  • 9.5. Middle East & Africa AI Powered Storage Market
    • 9.5.1. Saudi Arabia AI Powered Storage Market
    • 9.5.2. South Africa AI Powered Storage Market
    • 9.5.3. Rest of Middle East & Africa AI Powered Storage Market

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles
    • 10.3.1. NVIDIA Corporation
      • 10.3.1.1. Key Information
      • 10.3.1.2. Overview
      • 10.3.1.3. Financial (Subject to Data Availability)
      • 10.3.1.4. Product Summary
      • 10.3.1.5. Market Strategies
    • 10.3.2. Intel Corporation
    • 10.3.3. Pure Storage, Inc.
    • 10.3.4. Infortrend Technology Inc.
    • 10.3.5. Huawei Technologies Co., Ltd.
    • 10.3.6. IBM Corporation
    • 10.3.7. NetApp
    • 10.3.8. Hewlett Packard Enterprise Development LP
    • 10.3.9. Dell Inc.
    • 10.3.10. Micron Technology, Inc.
    • 10.3.11. Western Digital Corporation
    • 10.3.12. Seagate Technology Holdings plc
    • 10.3.13. Hitachi Vantara LLC
    • 10.3.14. Oracle Corporation
    • 10.3.15. Cisco Systems, Inc.

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes
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Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

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Christine Sirois

Manager - Americas

+1-860-674-8796

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