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
상품코드:1831598
리서치사:SkyQuest
발행일:2025년 09월
페이지 정보:영문 174 Pages
라이선스 & 가격 (부가세 별도)
한글목차
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
영문 목차
영문목차
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)