세계의 AI 탑재 스토리지 시장 : 제품 유형별, 최종 사용자별, 지역별 - 산업 분석, 규모, 점유율, 성장, 동향, 예측(2024-2031년)

Persistence Market Research, a leading market research firm, has conducted an in-depth analysis of the global AI-Powered Storage Market. This comprehensive report provides valuable insights into key market dynamics, growth drivers, challenges, and emerging trends. It offers a detailed overview of the AI-powered storage segment within the information technology industry, presenting exclusive data and statistics projecting the market's growth trajectory from 2024 to 2031.

Key Insights:

• AI-Powered Storage Market Size (2024): US$ 23.3 Billion
• Projected Market Value (2031): US$ 110 Billion
• Global Market Growth Rate (CAGR 2024 to 2031): 18.9%

AI-Powered Storage Market - Report Scope:

The AI-Powered Storage Market encompasses a diverse range of hardware, software, and services leveraging artificial intelligence (AI) and machine learning (ML) technologies to optimize storage infrastructure, data management, and analytics capabilities. This market serves enterprises, cloud service providers, data centers, and managed service providers, offering AI-driven storage solutions for data processing, analysis, and insights generation. AI-powered storage platforms enable organizations to improve data accessibility, scalability, and performance while reducing storage costs, complexity, and management overhead. Market growth is driven by increasing data volumes, demand for real-time analytics, and adoption of AI-driven automation for storage optimization and predictive maintenance.

Market Growth Drivers:

The global AI-Powered Storage Market benefits from several key growth drivers. The exponential growth of data generated by digital transformation initiatives, IoT devices, and multimedia content fuels demand for AI-powered storage solutions capable of handling diverse data types and workloads. Moreover, advancements in AI algorithms, deep learning models, and neural networks enable predictive analytics, anomaly detection, and data classification for storage optimization and data governance. Furthermore, the shift towards hybrid and multi-cloud environments, edge computing, and containerized storage architectures drives demand for AI-driven storage platforms that deliver seamless data mobility, security, and compliance across distributed IT infrastructure. Additionally, the growing need for real-time insights and decision-making capabilities in industries such as finance, healthcare, and retail accelerates adoption of AI-powered storage for data analytics and business intelligence applications.

Market Restraints:

Despite its promising growth prospects, the AI-Powered Storage Market faces challenges related to technology integration, data privacy, and talent shortage. Integrating AI-driven storage solutions with existing IT infrastructure and legacy storage systems may require significant investments in hardware, software, and professional services, impacting adoption rates and return on investment. Moreover, concerns about data security, privacy, and regulatory compliance pose barriers to deploying AI-powered storage platforms, particularly in highly regulated industries with strict data protection requirements. Additionally, the shortage of skilled AI and data science professionals capable of designing, implementing, and managing AI-powered storage solutions limits market growth and innovation. Addressing these barriers requires collaboration between technology vendors, cybersecurity experts, and regulatory authorities to develop robust, scalable, and secure AI-driven storage solutions that meet enterprise needs and regulatory standards.

Market Opportunities:

The AI-Powered Storage Market presents significant growth opportunities driven by technological innovations, industry partnerships, and vertical market expansion. Emerging trends such as AI-driven data management, federated learning, and edge AI processing offer new avenues for storage vendors to differentiate their offerings and address evolving customer needs. The development of AI-powered storage solutions with built-in data governance, encryption, and compliance features enables organizations to meet regulatory requirements and mitigate cybersecurity risks in data-intensive environments. Furthermore, strategic partnerships with cloud service providers, AI software vendors, and industry-specific solution providers facilitate market penetration and customer adoption of AI-driven storage platforms. Moreover, investment in AI talent development, training programs, and certification initiatives fosters innovation and talent pipeline growth in the AI-Powered Storage Market.

Key Questions Answered in the Report:

• What factors are driving the growth of the AI-Powered Storage Market globally?
• How are advancements in AI algorithms and machine learning technologies reshaping the competitive landscape of AI-driven storage solutions?
• What are the key challenges and opportunities facing storage vendors and enterprise customers in the AI-Powered Storage Market?
• Which industries and use cases offer the highest growth potential for AI-powered storage adoption?
• What strategies are leading companies employing to differentiate their AI-driven storage offerings and gain market share?

Competitive Intelligence and Business Strategy:

Leading players in the global AI-Powered Storage Market, including storage vendors, AI software providers, and cloud service providers, focus on innovation, partnerships, and customer-centric strategies to drive market growth and maintain competitiveness. These companies invest in research and development to develop AI-driven storage platforms with advanced features such as data deduplication, compression, and tiering for cost optimization and performance enhancement. Moreover, strategic alliances with AI software vendors, system integrators, and industry partners enable companies to integrate AI-driven analytics, data management, and automation capabilities into their storage solutions, delivering added value to customers. Furthermore, emphasis on customer engagement, solution customization, and vertical market specialization enhances brand reputation and customer loyalty in the competitive landscape of AI-Powered Storage Market.

Key Companies Profiled:

• Intel Corporation
• NVIDIA Corporation
• IBM
• Samsung Electronics
• Pure Storage
• NetApp
• Micron Technology
• CISCO
• Toshiba
• Hitachi
• Lenovo
• Dell
• HPE

AI-Powered Storage Market Research Segmentation:

By Offering

• Software
• Hardware

By Storage System

• Direct-Attached Storage
• Network-Attached Storage
• Storage Area Network

By Storage Architecture

• Hard Disk Drives (HDD)
• Solid-State Drives (SSD).

By End User

• Enterprises
• Government Bodies
• Cloud Service Providers
• Telecom Companies

By Region

• North America
• Europe
• Asia-Pacific
• ROW

Table of Contents

1. Executive Summary

• 1.1. Global Market Outlook
• 1.2. Summary of Statistics
• 1.3. Key Market Characteristics & Attributes
• 1.4. Fact.MR Analysis and Recommendations

2. Market Overview

• 2.1. Market Coverage / Taxonomy
• 2.2. Market Definition / Scope / Limitations

3. Market Risks and Trends Assessment

• 3.1. Risk Assessment
  • 3.1.1. COVID-19 Crisis and Impact on AI Powered Storage Market
  • 3.1.2. COVID-19 Impact Benchmark with Previous Crisis
  • 3.1.3. Impact on Market Value (US$ Mn)
  • 3.1.4. Assessment by Key Countries
  • 3.1.5. Assessment by Key Market Segments
  • 3.1.6. Action Points and Recommendation for Suppliers
• 3.2. Key Trends Impacting the Market
• 3.3. Formulation and Product Development Trends

4. Market Background

• 4.1. AI Powered Storage Market, by Key Countries
• 4.2. AI Powered Storage Market Opportunity Assessment (US$ Mn)
  • 4.2.1. Total Available Market
  • 4.2.2. Serviceable Addressable Market
  • 4.2.3. Serviceable Obtainable Market
• 4.3. Market Scenario Forecast
  • 4.3.1. Demand in optimistic Scenario
  • 4.3.2. Demand in Likely Scenario
  • 4.3.3. Demand in Conservative Scenario
• 4.4. Investment Feasibility Analysis
  • 4.4.1. Investment in Established Markets
    • 4.4.1.1. In Short Term
    • 4.4.1.2. In Long Term
  • 4.4.2. Investment in Emerging Markets
    • 4.4.2.1. In Short Term
    • 4.4.2.2. In Long Term
• 4.5. Forecast Factors - Relevance & Impact
  • 4.5.1. Top Companies Historical Growth
  • 4.5.2. Growth in Automation, By Country
  • 4.5.3. AI Powered Storage Market Adoption Rate, By Country
• 4.6. Market Dynamics
  • 4.6.1. Market Driving Factors and Impact Assessment
  • 4.6.2. Prominent Market Challenges and Impact Assessment
  • 4.6.3. AI Powered Storage Market Opportunities
  • 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment

5. Key Success Factors

• 5.1. Manufacturers' Focus on Low Penetration High Growth Markets
• 5.2. Banking on with Segments High Incremental Opportunity
• 5.3. Peer Benchmarking

6. Global AI Powered Storage Market Demand Analysis 2019-2023 and Forecast, 2024-2031

• 6.1. Historical Market Analysis, 2019-2023
• 6.2. Current and Future Market Projections, 2024-2031
• 6.3. Y-o-Y Growth Trend Analysis

7. Global AI Powered Storage Market Value Analysis 2019-2023 and Forecast, 2024-2031

• 7.1. Historical Market Value (US$ Mn) Analysis, 2019-2023
• 7.2. Current and Future Market Value (US$ Mn) Projections, 2024-2031
  • 7.2.1. Y-o-Y Growth Trend Analysis
  • 7.2.2. Absolute $ Opportunity Analysis

8. Global AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031, By Offering

• 8.1. Introduction / Key Findings
• 8.2. Historical Market Value (US$ Mn) and Analysis By Offering, 2019-2023
• 8.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Offering, 2024-2031
  • 8.3.1. Hardware
  • 8.3.2. Software
• 8.4. Market Attractiveness Analysis By Offering

9. Global AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031, By Storage System

• 9.1. Introduction / Key Findings
• 9.2. Historical Market Value (US$ Mn) and Analysis By Storage System, 2019-2023
• 9.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Storage System, 2024-2031
  • 9.3.1. Direct-attached Storage (DAS)
  • 9.3.2. Network-attached Storage (NAS)
  • 9.3.3. Storage Area Network (SAN)
• 9.4. Market Attractiveness Analysis By Storage System

10. Global AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031, By Storage Architecture

• 10.1. Introduction / Key Findings
• 10.2. Historical Market Value (US$ Mn) and Analysis By Storage Architecture, 2019-2023
• 10.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Storage Architecture, 2024-2031
  • 10.3.1. File- and Object-Based Storage
  • 10.3.2. Object Storage
• 10.4. Market Attractiveness Analysis By Storage Architecture

11. Global AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031, By Storage Medium

• 11.1. Introduction / Key Findings
• 11.2. Historical Market Value (US$ Mn) and Analysis By Storage Medium, 2019-2023
• 11.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Storage Medium, 2024-2031
  • 11.3.1. Hard Disk Drive (HDD)
  • 11.3.2. Solid State Drive (SSD)
• 11.4. Market Attractiveness Analysis By Storage Medium

12. Global AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031, By End-user

• 12.1. Introduction / Key Findings
• 12.2. Historical Market Value (US$ Mn) and Analysis By End-user, 2019-2023
• 12.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By End-user, 2024-2031
  • 12.3.1. Enterprises
  • 12.3.2. Government Bodies
  • 12.3.3. Cloud Service Providers
  • 12.3.4. Telecom Companies
• 12.4. Market Attractiveness Analysis By End-user

13. Global AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031, By Region

• 13.1. Introduction
• 13.2. Historical Market Value (US$ Mn) and Analysis By Region, 2019-2023
• 13.3. Current Market Size (US$ Mn) & Analysis and Forecast By Region, 2024-2031
  • 13.3.1. North America
  • 13.3.2. APAC
  • 13.3.3. Europe
  • 13.3.4. ROW
• 13.4. Market Attractiveness Analysis By Region

14. North America AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031

• 14.1. Introduction
• 14.2. Pricing Analysis
• 14.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2019-2023
• 14.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2031
  • 14.4.1. By Country
    • 14.4.1.1. U.S.
    • 14.4.1.2. Canada
    • 14.4.1.3. Rest of North America
  • 14.4.2. By Storage Architecture
  • 14.4.3. By Offering
  • 14.4.4. By Storage System
  • 14.4.5. By Storage Medium
  • 14.4.6. By End-user
• 14.5. Market Attractiveness Analysis
  • 14.5.1. By Country
  • 14.5.2. By Storage Architecture
  • 14.5.3. By Offering
  • 14.5.4. By Storage System
  • 14.5.5. By Storage Medium
  • 14.5.6. By End-user

15. Latin America AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031

• 15.1. Introduction
• 15.2. Pricing Analysis
• 15.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2019-2023
• 15.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2031
  • 15.4.1. By Country
    • 15.4.1.1. Brazil
    • 15.4.1.2. Mexico
    • 15.4.1.3. Rest of Latin America
  • 15.4.2. By Storage Architecture
  • 15.4.3. By Offering
  • 15.4.4. By Storage System
  • 15.4.5. By Storage Medium
  • 15.4.6. By End-user
• 15.5. Market Attractiveness Analysis
  • 15.5.1. By Country
  • 15.5.2. By Storage Architecture
  • 15.5.3. By Offering
  • 15.5.4. By Storage System
  • 15.5.5. By Storage Medium
  • 15.5.6. By End-user

16. Europe AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031

• 16.1. Introduction
• 16.2. Pricing Analysis
• 16.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2019-2023
• 16.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2031
  • 16.4.1. By Country
    • 16.4.1.1. Germany
    • 16.4.1.2. France
    • 16.4.1.3. U.K.
    • 16.4.1.4. Italy
    • 16.4.1.5. Russia
    • 16.4.1.6. Rest of Europe
  • 16.4.2. By Storage Architecture
  • 16.4.3. By Offering
  • 16.4.4. By Storage System
  • 16.4.5. By Storage Medium
  • 16.4.6. By End-user
• 16.5. Market Attractiveness Analysis
  • 16.5.1. By Country
  • 16.5.2. By Storage Architecture
  • 16.5.3. By Offering
  • 16.5.4. By Storage System
  • 16.5.5. By Storage Medium
  • 16.5.6. By End-user

17. Asia Pacific AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031

• 17.1. Introduction
• 17.2. Pricing Analysis
• 17.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2019-2023
• 17.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2031
  • 17.4.1. By Country
    • 17.4.1.1. China
    • 17.4.1.2. Japan
    • 17.4.1.3. South Korea
    • 17.4.1.4. Rest of Asia Pacific
  • 17.4.2. By Storage Architecture
  • 17.4.3. By Offering
  • 17.4.4. By Storage System
  • 17.4.5. By Storage Medium
  • 17.4.6. By End-user
• 17.5. Market Attractiveness Analysis
  • 17.5.1. By Country
  • 17.5.2. By Storage Architecture
  • 17.5.3. By Offering
  • 17.5.4. By Storage System
  • 17.5.5. By Storage Medium
  • 17.5.6. By End-user

18. Middle East and Africa AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031

• 18.1. Introduction
• 18.2. Pricing Analysis
• 18.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2019-2023
• 18.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2031
  • 18.4.1. By Country
    • 18.4.1.1. GCC Countries
    • 18.4.1.2. South Africa
    • 18.4.1.3. Turkey
    • 18.4.1.4. Rest of Middle East and Africa
  • 18.4.2. By Storage Architecture
  • 18.4.3. By Offering
  • 18.4.4. By Storage System
  • 18.4.5. By Storage Medium
  • 18.4.6. By End-user
• 18.5. Market Attractiveness Analysis
  • 18.5.1. By Country
  • 18.5.2. By Storage Architecture
  • 18.5.3. By Offering
  • 18.5.4. By Storage System
  • 18.5.5. By Storage Medium
  • 18.5.6. By End-user

19. Key Countries AI Powered Storage Market Analysis 2019-2023 and Forecast 2024-2031

• 19.1. Introduction
  • 19.1.1. Market Value Proportion Analysis, By Key Countries
  • 19.1.2. Global Vs. Country Growth Comparison
• 19.2. US AI Powered Storage Market Analysis
  • 19.2.1. Value Proportion Analysis by Market Taxonomy
  • 19.2.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.2.2.1. By Storage Architecture
    • 19.2.2.2. By Offering
    • 19.2.2.3. By Storage System
    • 19.2.2.4. By Storage Medium
    • 19.2.2.5. By End-user
• 19.3. Canada AI Powered Storage Market Analysis
  • 19.3.1. Value Proportion Analysis by Market Taxonomy
  • 19.3.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.3.2.1. By Storage Architecture
    • 19.3.2.2. By Offering
    • 19.3.2.3. By Storage System
    • 19.3.2.4. By Storage Medium
    • 19.3.2.5. By End-user
• 19.4. Mexico AI Powered Storage Market Analysis
  • 19.4.1. Value Proportion Analysis by Market Taxonomy
  • 19.4.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.4.2.1. By Storage Architecture
    • 19.4.2.2. By Offering
    • 19.4.2.3. By Storage System
    • 19.4.2.4. By Storage Medium
    • 19.4.2.5. By End-user
• 19.5. Brazil AI Powered Storage Market Analysis
  • 19.5.1. Value Proportion Analysis by Market Taxonomy
  • 19.5.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.5.2.1. By Storage Architecture
    • 19.5.2.2. By Offering
    • 19.5.2.3. By Storage System
    • 19.5.2.4. By Storage Medium
    • 19.5.2.5. By End-user
• 19.6. Germany AI Powered Storage Market Analysis
  • 19.6.1. Value Proportion Analysis by Market Taxonomy
  • 19.6.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.6.2.1. By Storage Architecture
    • 19.6.2.2. By Offering
    • 19.6.2.3. By Storage System
    • 19.6.2.4. By Storage Medium
    • 19.6.2.5. By End-user
• 19.7. France AI Powered Storage Market Analysis
  • 19.7.1. Value Proportion Analysis by Market Taxonomy
  • 19.7.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.7.2.1. By Storage Architecture
    • 19.7.2.2. By Offering
    • 19.7.2.3. By Storage System
    • 19.7.2.4. By Storage Medium
    • 19.7.2.5. By End-user
• 19.8. Italy AI Powered Storage Market Analysis
  • 19.8.1. Value Proportion Analysis by Market Taxonomy
  • 19.8.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.8.2.1. By Storage Architecture
    • 19.8.2.2. By Offering
    • 19.8.2.3. By Storage System
    • 19.8.2.4. By Storage Medium
    • 19.8.2.5. By End-user
• 19.9. Russia AI Powered Storage Market Analysis
  • 19.9.1. Value Proportion Analysis by Market Taxonomy
  • 19.9.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.9.2.1. By Storage Architecture
    • 19.9.2.2. By Offering
    • 19.9.2.3. By Storage System
    • 19.9.2.4. By Storage Medium
    • 19.9.2.5. By End-user
• 19.10. UK AI Powered Storage Market Analysis
  • 19.10.1. Value Proportion Analysis by Market Taxonomy
  • 19.10.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.10.2.1. By Storage Architecture
    • 19.10.2.2. By Offering
    • 19.10.2.3. By Storage System
    • 19.10.2.4. By Storage Medium
    • 19.10.2.5. By End-user
• 19.11. China AI Powered Storage Market Analysis
  • 19.11.1. Value Proportion Analysis by Market Taxonomy
  • 19.11.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.11.2.1. By Storage Architecture
    • 19.11.2.2. By Offering
    • 19.11.2.3. By Storage System
    • 19.11.2.4. By Storage Medium
    • 19.11.2.5. By End-user
• 19.12. Japan AI Powered Storage Market Analysis
  • 19.12.1. Value Proportion Analysis by Market Taxonomy
  • 19.12.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.12.2.1. By Storage Architecture
    • 19.12.2.2. By Offering
    • 19.12.2.3. By Storage System
    • 19.12.2.4. By Storage Medium
    • 19.12.2.5. By End-user
• 19.13. South Korea AI Powered Storage Market Analysis
  • 19.13.1. Value Proportion Analysis by Market Taxonomy
  • 19.13.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.13.2.1. By Storage Architecture
    • 19.13.2.2. By Offering
    • 19.13.2.3. By Storage System
    • 19.13.2.4. By Storage Medium
    • 19.13.2.5. By End-user
• 19.14. GCC Countries AI Powered Storage Market Analysis
  • 19.14.1. Value Proportion Analysis by Market Taxonomy
  • 19.14.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.14.2.1. By Storage Architecture
    • 19.14.2.2. By Offering
    • 19.14.2.3. By Storage System
    • 19.14.2.4. By Storage Medium
    • 19.14.2.5. By End-user
• 19.15. South Africa AI Powered Storage Market Analysis
  • 19.15.1. Value Proportion Analysis by Market Taxonomy
  • 19.15.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.15.2.1. By Storage Architecture
    • 19.15.2.2. By Offering
    • 19.15.2.3. By Storage System
    • 19.15.2.4. By Storage Medium
    • 19.15.2.5. By End-user
• 19.16. Turkey AI Powered Storage Market Analysis
  • 19.16.1. Value Proportion Analysis by Market Taxonomy
  • 19.16.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2031
    • 19.16.2.1. By Storage Architecture
    • 19.16.2.2. By Offering
    • 19.16.2.3. By Storage System
    • 19.16.2.4. By Storage Medium
    • 19.16.2.5. By End-user
  • 19.16.3. Competition Landscape and Player Concentration in the Country

20. Market Structure Analysis

• 20.1. Market Analysis by Tier of Companies
• 20.2. Market Concentration
• 20.3. Market Share Analysis of Top Players
• 20.4. Market Presence Analysis
  • 20.4.1. By Regional footprint of Players
  • 20.4.2. Product footprint by Players

21. Competition Analysis

• 21.1. Competition Dashboard
• 21.2. Competition Benchmarking
• 21.3. Competition Deep Dive
  • 21.3.1. Intel Corporation
    • 21.3.1.1. Overview
    • 21.3.1.2. Product Portfolio
    • 21.3.1.3. Sales Footprint
    • 21.3.1.4. Strategy Overview
  • 21.3.2. NVIDIA Corporation
    • 21.3.2.1. Overview
    • 21.3.2.2. Product Portfolio
    • 21.3.2.3. Sales Footprint
    • 21.3.2.4. Strategy Overview
  • 21.3.3. IBM
    • 21.3.3.1. Overview
    • 21.3.3.2. Product Portfolio
    • 21.3.3.3. Sales Footprint
    • 21.3.3.4. Strategy Overview
  • 21.3.4. Samsung Electronics
    • 21.3.4.1. Overview
    • 21.3.4.2. Product Portfolio
    • 21.3.4.3. Sales Footprint
    • 21.3.4.4. Strategy Overview
  • 21.3.5. Pure Storage
    • 21.3.5.1. Overview
    • 21.3.5.2. Product Portfolio
    • 21.3.5.3. Sales Footprint
    • 21.3.5.4. Strategy Overview
  • 21.3.6. NetApp
    • 21.3.6.1. Overview
    • 21.3.6.2. Product Portfolio
    • 21.3.6.3. Sales Footprint
    • 21.3.6.4. Strategy Overview
  • 21.3.7. Micron Technology
    • 21.3.7.1. Overview
    • 21.3.7.2. Product Portfolio
    • 21.3.7.3. Sales Footprint
    • 21.3.7.4. Strategy Overview
  • 21.3.8. CISCO
    • 21.3.8.1. Overview
    • 21.3.8.2. Product Portfolio
    • 21.3.8.3. Sales Footprint
    • 21.3.8.4. Strategy Overview
  • 21.3.9. Toshiba
    • 21.3.9.1. Overview
    • 21.3.9.2. Product Portfolio
    • 21.3.9.3. Sales Footprint
    • 21.3.9.4. Strategy Overview
  • 21.3.10. Hitachi
    • 21.3.10.1. Overview
    • 21.3.10.2. Product Portfolio
    • 21.3.10.3. Sales Footprint
    • 21.3.10.4. Strategy Overview
  • 21.3.11. Lenovo
    • 21.3.11.1. Overview
    • 21.3.11.2. Product Portfolio
    • 21.3.11.3. Sales Footprint
    • 21.3.11.4. Strategy Overview
  • 21.3.12. Dell
    • 21.3.12.1. Overview
    • 21.3.12.2. Product Portfolio
    • 21.3.12.3. Sales Footprint
    • 21.3.12.4. Strategy Overview
  • 21.3.13. HPE
    • 21.3.13.1. Overview
    • 21.3.13.2. Product Portfolio
    • 21.3.13.3. Sales Footprint
    • 21.3.13.4. Strategy Overview

22. Assumptions and Acronyms Used

23. Research Methodology