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AI 탑재 스토리지 시장 규모, 점유율, 성장 분석 : 구성요소별, 스토리지 시스템별, 스토리지 아키텍처별, 스토리지 매체별, 최종사용자별, 지역별 - 산업 예측(2025-2032년)

AI-Powered Storage Market Size, Share, and Growth Analysis, By Component (Hardware, Software), By Storage System, By Storage Architecture, By Storage Medium, By End User, By Region - Industry Forecast 2025-2032

발행일: | 리서치사: SkyQuest | 페이지 정보: 영문 174 Pages | 배송안내 : 3-5일 (영업일 기준)

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계 AI 탑재 스토리지 시장 규모는 2023년에 161억 달러로 평가되었으며, 예측 기간(2025-2032년) 동안 CAGR 15.9%로, 2024년 186억 6,000만 달러에서 2032년에는 607억 5,000만 달러로 성장할 전망입니다.

세계 AI 탑재 스토리지 시장은 BFSI, 헬스케어, 리테일, 통신 등 다양한 분야에서 실시간 분석 및 의사결정을 가능하게 하는 지능형 스토리지 솔루션에 대한 수요 증가로 인해 크게 성장하고 있습니다. 데이터양이 급증함에 따라 데이터 관리, 예측 분석, 스토리지 최적화를 강화하는 AI 기술을 통한 고도화된 스토리지 솔루션이 요구되고 있습니다. 엣지 컴퓨팅과 클라우드의 도입 확대는 이 시장을 더욱 활성화시키고 있습니다. 기업들은 업무 간소화, 데이터 보안 강화, 다운타임 최소화를 위해 AI 탑재 스토리지 시스템 통합을 점점 더 많이 추진하고 있습니다. 기업의 IT 환경이 복잡해지고 데이터 이동성이 증가함에 따라, 이러한 혁신적인 스토리지 솔루션은 워크로드 관리의 민첩성과 효율성을 보장하는 데 있어 매우 중요한 역할을 하게 될 것이며, 이를 통해 AI 기반 스토리지 분야가 발전하게 될 것입니다.

목차

소개

  • 조사 목적
  • 조사 범위
  • 정의

조사 방법

  • 정보 조달
  • 2차와 1차 데이터 방법
  • 시장 규모 예측
  • 시장 가정과 제한

주요 요약

  • 세계 시장 전망
  • 공급과 수요 동향 분석
  • 부문별 기회 분석

시장 역학과 전망

  • 시장 개요
  • 시장 규모
  • 시장 역학
    • 성장 촉진요인과 기회
    • 성장 억제요인과 과제
  • Porters 분석

주요 시장 인사이트

  • 핵심성공요인
  • 경쟁 정도
  • 주요 투자 기회
  • 시장 생태계
  • 시장 매력 지수(2024년)
  • PESTEL 분석
  • 거시경제 지표
  • 밸류체인 분석
  • 가격 분석

AI 탑재 스토리지 시장 규모 : 구성요소별 & CAGR(2025-2032년)

  • 시장 개요
  • 하드웨어
  • 소프트웨어

AI 탑재 스토리지 시장 규모 : 스토리지 시스템별 & CAGR(2025-2032년)

  • 시장 개요
  • 직접 결합 스토리지
  • 네트워크 결합 스토리지
  • 스토리지 에어리어 네트워크

AI 탑재 스토리지 시장 규모 : 스토리지 아키텍처별 & CAGR(2025-2032년)

  • 시장 개요
  • 파일 및 오브젝트 기반 스토리지
  • 오브젝트 스토리지

AI 탑재 스토리지 시장 규모 : 스토리지 미디어별 & CAGR(2025-2032년)

  • 시장 개요
  • 하드 디스크 드라이브
  • 솔리드 스테이트 드라이브

AI 탑재 스토리지 시장 규모 : 최종사용자별 & CAGR(2025-2032년)

  • 시장 개요
  • 기업 유형
  • BFSI
  • 헬스케어
  • 미디어와 엔터테인먼트
  • 소매
  • 소비재
  • 제조업
  • 정부기관
  • 클라우드 서비스 프로바이더
  • 통신 회사
  • 기타

AI 탑재 스토리지 시장 규모 & CAGR(2025-2032년)

  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 독일
    • 스페인
    • 프랑스
    • 영국
    • 이탈리아
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 한국
    • 기타 아시아태평양
  • 라틴아메리카
    • 브라질
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • GCC 국가
    • 남아프리카공화국
    • 기타 중동 및 아프리카

경쟁 정보

  • 상위 5개사의 비교
  • 주요 기업의 시장 포지셔닝(2024년)
  • 주요 시장 기업이 채용한 전략
  • 최근의 시장 동향
  • 기업의 시장 점유율 분석(2024년)
  • 주요 기업 개요
    • 기업 상세
    • 제품 포트폴리오 분석
    • 기업 부문별 점유율 분석
    • 매출 전년비 비교(2022-2024년)

주요 기업 개요

  • Dell Technologies(US)
  • Hewlett Packard Enterprise(HPE)(US)
  • IBM Corporation(US)
  • Pure Storage(US)
  • NetApp(US)
  • NVIDIA Corporation(US)
  • Intel Corporation(US)
  • Samsung Electronics(South Korea)
  • Micron Technology(US)
  • Western Digital Corporation(US)
  • Cisco Systems, Inc.(US)
  • Amazon Web Services(AWS)(US)
  • Google LLC(Alphabet Inc.)(US)
  • Microsoft Corporation(US)
  • Hitachi, Ltd.(Japan)
  • Lenovo Group Limited(China)
  • Huawei Technologies Co., Ltd.(China)
  • Toshiba Corporation(Japan)
  • DDN(DataDirect Networks)(US)
  • WekaIO(US)

결론과 제안

KSM

Global AI-Powered Storage Market size was valued at USD 16.1 billion in 2023 and is poised to grow from USD 18.66 billion in 2024 to USD 60.75 billion by 2032, growing at a CAGR of 15.9% during the forecast period (2025-2032).

The global AI-powered storage market is witnessing significant growth driven by the rising demand for intelligent storage solutions that enable real-time analytics and decision-making across various sectors, including BFSI, healthcare, retail, and telecom. The surge in data volumes necessitates advanced storage solutions, with AI technologies enhancing data management, predictive analytics, and storage optimization. The expansion of edge computing and cloud adoption is further fueling this market. Organizations are increasingly integrating AI-powered storage systems to streamline operations, bolster data security, and minimize downtime. As enterprise IT environments become more complex and data mobility increases, these innovative storage solutions will be pivotal in ensuring agility and efficiency in managing workloads, thereby pushing the AI-driven storage sector forward.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global AI-Powered Storage market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global AI-Powered Storage Market Segments Analysis

Global AI-Powered Storage Market is segmented by Component, Storage System, Storage Architecture, Storage Medium, End User and region. Based on Component, the market is segmented into Hardware and Software. Based on Storage System, the market is segmented into Direct attached Storage, Network attached Storage and Storage Area Network. Based on Storage Architecture, the market is segmented into File and Object Based Storage and Object Storage. Based on Storage Medium, the market is segmented into Hard Disk Drive and Solid State Drive. Based on End User, the market is segmented into Enterprise Type, BFSI, Healthcare, Media and Entertainment, Retail, Consumer Goods, Manufacturing, Government Bodies, Cloud Service Providers, Telecom Companies and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global AI-Powered Storage Market

The growing volume of data generated across various industries, particularly from IoT devices, cloud-based applications, and high-definition media, significantly fuels the demand for AI-powered storage solutions. These advanced systems enhance capabilities for real-time data identification and categorization, enable automated tiering, facilitate anomaly detection, and streamline resource provisioning. Organizations dealing with vast and complex data sets are increasingly recognizing the necessity for intelligent storage solutions to efficiently manage and harness their data, thereby optimizing performance and operational efficiency. This heightened focus on AI technology in storage systems underscores the urgent need for solutions that adapt to evolving data landscapes.

Restraints in the Global AI-Powered Storage Market

Despite the numerous advantages that AI-powered storage solutions can bring to data management, the high expenses associated with implementing such infrastructure may hinder adoption, particularly among small and medium enterprises (SMEs). The financial burden from acquiring AI algorithms, computational accelerators, and specialized hardware can deter potential users, as these initial costs represent a significant investment along with the inherent technical risks. Consequently, this creates a barrier to entry and limits market growth, especially in price-sensitive and developing regions where budget constraints are more pronounced. As a result, the market for AI-integrated storage solutions may struggle to achieve widespread acceptance and growth.

Market Trends of the Global AI-Powered Storage Market

The Global AI-Powered Storage market is witnessing a significant trend towards the integration of AI with edge computing, facilitating real-time data processing and analytics. This synergy is revolutionizing various sectors, including manufacturing, autonomous vehicles, and smart cities, as it allows for data to be processed and stored near its source. This proximity enhances operational efficiency by minimizing latency and reducing bandwidth consumption, ultimately leading to more agile decision-making processes. As organizations look to harness data-driven insights quickly, the demand for AI-powered storage solutions that leverage edge computing capabilities is poised for substantial growth in the coming years.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis

Global AI-Powered Storage Market Size by Component & CAGR (2025-2032)

  • Market Overview
  • Hardware
  • Software

Global AI-Powered Storage Market Size by Storage System & CAGR (2025-2032)

  • Market Overview
  • Direct attached Storage
  • Network attached Storage
  • Storage Area Network

Global AI-Powered Storage Market Size by Storage Architecture & CAGR (2025-2032)

  • Market Overview
  • File and Object Based Storage
  • Object Storage

Global AI-Powered Storage Market Size by Storage Medium & CAGR (2025-2032)

  • Market Overview
  • Hard Disk Drive
  • Solid State Drive

Global AI-Powered Storage Market Size by End User & CAGR (2025-2032)

  • Market Overview
  • Enterprise Type
  • BFSI
  • Healthcare
  • Media and Entertainment
  • Retail
  • Consumer Goods
  • Manufacturing
  • Government Bodies
  • Cloud Service Providers
  • Telecom Companies
  • Others

Global AI-Powered Storage Market Size & CAGR (2025-2032)

  • North America (Component, Storage System, Storage Architecture, Storage Medium, End User)
    • US
    • Canada
  • Europe (Component, Storage System, Storage Architecture, Storage Medium, End User)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Storage System, Storage Architecture, Storage Medium, End User)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Storage System, Storage Architecture, Storage Medium, End User)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Storage System, Storage Architecture, Storage Medium, End User)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • Dell Technologies (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Hewlett Packard Enterprise (HPE) (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Pure Storage (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NetApp (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NVIDIA Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Samsung Electronics (South Korea)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Micron Technology (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Western Digital Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cisco Systems, Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Web Services (AWS) (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google LLC (Alphabet Inc.) (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Hitachi, Ltd. (Japan)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Lenovo Group Limited (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Huawei Technologies Co., Ltd. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Toshiba Corporation (Japan)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DDN (DataDirect Networks) (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • WekaIO (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations

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