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시장보고서
상품코드
2020579
AI 탑재 스토리지 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)Global AI Powered Storage Market Size, Share, Trends & Growth Analysis Report 2026-2034 |
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AI 탑재 스토리지 시장 규모는 2025년 443억 달러에서 2034년에는 3,659억 4,000만 달러에 달할 것으로 예측되고 있으며, 2026-2034년에 CAGR 26.44%로 성장할 것으로 전망되고 있습니다.
조직이 방대한 양의 데이터를 생성하고, 이를 저장하고 관리하기 위해 보다 스마트한 방법을 필요로 함에 따라 글로벌 AI 기반 스토리지 시장은 빠르게 성장하고 있습니다. AI 기반 스토리지 시스템은 머신러닝 알고리즘을 활용하여 데이터 스토리지를 최적화하고, 데이터 분류를 자동화하며, 전체 시스템 성능을 향상시킵니다. 이러한 지능형 시스템은 기업이 복잡한 데이터 환경을 보다 효율적으로 관리하고 운영 비용을 절감할 수 있도록 돕습니다.
이 시장의 주요 촉진요인은 클라우드 컴퓨팅, 빅데이터 분석 및 기업의 디지털 혁신의 급속한 성장입니다. 기업은 데이터 워크로드를 자동으로 관리하고, 스토리지 수요를 예측하고, 시스템 장애가 발생하기 전에 문제를 감지하기 위해 AI 기반 스토리지 솔루션을 점점 더 많이 도입하고 있습니다. IoT, 인공지능 등 데이터 집약형 기술의 활용 확대도 고급 스토리지 시스템에 대한 수요를 가속화하고 있습니다.
향후 조직이 데이터 보안, 효율성, 확장성 향상에 집중함에 따라 AI를 활용한 스토리지 시장은 확대될 것으로 예상됩니다. 미래의 스토리지 시스템에는 보다 높은 수준의 예측 분석 및 자동화 기능이 내장되어 있으며, 기업은 최소한의 인력 개입으로 방대한 데이터 인프라를 관리할 수 있게 될 것입니다. 전 세계에서 데이터 생성량이 지속적으로 증가하고 있는 가운데, AI 기반 스토리지 솔루션은 현대 IT 환경에서 필수적인 요소가 될 것입니다.
목차
제1장 서론
제2장 개요
제3장 시장 변수, 동향, 프레임워크
제4장 세계의 AI 탑재 스토리지 시장 : 컴포넌트별
제5장 세계의 AI 탑재 스토리지 시장 : 스토리지 시스템별
제6장 세계의 AI 탑재 스토리지 시장 : 스토리지 매체별
제7장 세계의 AI 탑재 스토리지 시장 : 최종사용자별
제8장 세계의 AI 탑재 스토리지 시장 : 지역별
제9장 경쟁 구도
제10장 기업 개요
KSA 26.05.08The AI Powered Storage Market size is expected to reach USD 365.94 Billion in 2034 from USD 44.30 Billion (2025) growing at a CAGR of 26.44% during 2026-2034.
The global AI powered storage market is growing rapidly as organizations generate massive volumes of data and require smarter ways to store and manage it. AI-powered storage systems use machine learning algorithms to optimize data storage, automate data classification, and improve overall system performance. These intelligent systems help businesses manage complex data environments more efficiently while reducing operational costs.
A major driver of this market is the rapid growth of cloud computing, big data analytics, and enterprise digital transformation. Businesses are increasingly adopting AI-powered storage solutions to automatically manage data workloads, predict storage needs, and detect system issues before they cause disruptions. The increasing use of data-intensive technologies such as IoT and artificial intelligence is also accelerating demand for advanced storage systems.
Looking ahead, the AI powered storage market is expected to expand as organizations focus on improving data security, efficiency, and scalability. Future storage systems will incorporate more advanced predictive analytics and automation capabilities, allowing businesses to manage vast data infrastructures with minimal human intervention. As data generation continues to increase globally, AI-driven storage solutions will become essential for modern IT environments.
Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:
Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.
Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.
Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.
Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.
Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.
Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.
Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.
MARKET SEGMENTATION
By Component
- Hardware
- Software
By Storage System
- Direct-Attached Storage (DAS)
- Network-Attached Storage (NAS)
- Storage Area Network (SAN)
By Storage Medium
- Hard Disk Drive (HDD)
- Solid State Drive (SSD)
By End-user
- Enterprises
- Government Bodies
- Cloud Service Providers
- Telecom Companies
COMPANIES PROFILED
- NetApp, Dell Technologies, IBM Corporation, Pure Storage, HPE Hewlett Packard Enterprise, NVIDIA, Hitachi Vantara, Amazon Web Services AWS, Google Cloud, Microsoft Azure
- We can customise the report as per your requirements.
TABLE OF CONTENTS
Chapter 1. PREFACE
- 1.1. Market Segmentation & Scope
- 1.2. Market Definition
- 1.3. Information Procurement
- 1.3.1 Information Analysis
- 1.3.2 Market Formulation & Data Visualization
- 1.3.3 Data Validation & Publishing
- 1.4. Research Scope and Assumptions
- 1.4.1 List of Data Sources
Chapter 2. EXECUTIVE SUMMARY
- 2.1. Market Snapshot
- 2.2. Segmental Outlook
- 2.3. Competitive Outlook
Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK
- 3.1. Market Lineage Outlook
- 3.2. Penetration & Growth Prospect Mapping
- 3.3. Value Chain Analysis
- 3.4. Regulatory Framework
- 3.4.1 Standards & Compliance
- 3.4.2 Regulatory Impact Analysis
- 3.5. Market Dynamics
- 3.5.1 Market Drivers
- 3.5.2 Market Restraints
- 3.5.3 Market Opportunities
- 3.5.4 Market Challenges
- 3.6. Porter's Five Forces Analysis
- 3.7. PESTLE Analysis
Chapter 4. GLOBAL AI POWERED STORAGE MARKET: BY COMPONENT 2022-2034 (USD MN)
- 4.1. Market Analysis, Insights and Forecast Component
- 4.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 4.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 5. GLOBAL AI POWERED STORAGE MARKET: BY STORAGE SYSTEM 2022-2034 (USD MN)
- 5.1. Market Analysis, Insights and Forecast Storage System
- 5.2. Direct-Attached Storage (DAS) Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.3. Network-Attached Storage (NAS) Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.4. Storage Area Network (SAN) Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 6. GLOBAL AI POWERED STORAGE MARKET: BY STORAGE MEDIUM 2022-2034 (USD MN)
- 6.1. Market Analysis, Insights and Forecast Storage Medium
- 6.2. Hard Disk Drive (HDD) Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 6.3. Solid State Drive (SSD) Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 7. GLOBAL AI POWERED STORAGE MARKET: BY END-USER 2022-2034 (USD MN)
- 7.1. Market Analysis, Insights and Forecast End-user
- 7.2. Enterprises Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 7.3. Government Bodies Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 7.4. Cloud Service Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 7.5. Telecom Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 8. GLOBAL AI POWERED STORAGE MARKET: BY REGION 2022-2034 (USD MN)
- 8.1. Regional Outlook
- 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.2.1 By Component
- 8.2.2 By Storage System
- 8.2.3 By Storage Medium
- 8.2.4 By End-user
- 8.2.5 United States
- 8.2.6 Canada
- 8.2.7 Mexico
- 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.3.1 By Component
- 8.3.2 By Storage System
- 8.3.3 By Storage Medium
- 8.3.4 By End-user
- 8.3.5 United Kingdom
- 8.3.6 France
- 8.3.7 Germany
- 8.3.8 Italy
- 8.3.9 Russia
- 8.3.10 Rest Of Europe
- 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.4.1 By Component
- 8.4.2 By Storage System
- 8.4.3 By Storage Medium
- 8.4.4 By End-user
- 8.4.5 India
- 8.4.6 Japan
- 8.4.7 South Korea
- 8.4.8 Australia
- 8.4.9 South East Asia
- 8.4.10 Rest Of Asia Pacific
- 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.5.1 By Component
- 8.5.2 By Storage System
- 8.5.3 By Storage Medium
- 8.5.4 By End-user
- 8.5.5 Brazil
- 8.5.6 Argentina
- 8.5.7 Peru
- 8.5.8 Chile
- 8.5.9 Rest of Latin America
- 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.6.1 By Component
- 8.6.2 By Storage System
- 8.6.3 By Storage Medium
- 8.6.4 By End-user
- 8.6.5 Saudi Arabia
- 8.6.6 UAE
- 8.6.7 Israel
- 8.6.8 South Africa
- 8.6.9 Rest of the Middle East And Africa
Chapter 9. COMPETITIVE LANDSCAPE
- 9.1. Recent Developments
- 9.2. Company Categorization
- 9.3. Supply Chain & Channel Partners (based on availability)
- 9.4. Market Share & Positioning Analysis (based on availability)
- 9.5. Vendor Landscape (based on availability)
- 9.6. Strategy Mapping
Chapter 10. COMPANY PROFILES OF GLOBAL AI POWERED STORAGE INDUSTRY
- 10.1. Top Companies Market Share Analysis
- 10.2. Company Profiles
- 10.2.1 NetApp
- 10.2.2 Dell Technologies
- 10.2.3 IBM Corporation
- 10.2.4 Pure Storage
- 10.2.5 HPE (Hewlett Packard Enterprise)
- 10.2.6 NVIDIA
- 10.2.7 Hitachi Vantara
- 10.2.8 Amazon Web Services (AWS)
- 10.2.9 Google Cloud
- 10.2.10 Microsoft Azure
