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시장보고서
상품코드
1831598
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 |
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.
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.