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人工智能

人工智慧儲存市場規模、佔有率、成長分析（按組件、按儲存系統、按儲存架構、按儲存媒體、按最終用戶、按地區）——產業預測 2025-2032

市場調查報告書

商品編碼

1831598

人工智慧儲存市場規模、佔有率、成長分析（按組件、按儲存系統、按儲存架構、按儲存媒體、按最終用戶、按地區）——產業預測 2025-2032

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

出版日期: 2025年09月30日 | 出版商:

SkyQuest | 英文 174 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

預計 2023 年全球人工智慧儲存市場價值將達到 161 億美元，從 2024 年的 186.6 億美元成長到 2032 年的 607.5 億美元，預測期內（2025-2032 年）的複合年成長率為 15.9%。

全球人工智慧儲存市場正在經歷顯著成長，這得益於對智慧儲存解決方案日益成長的需求，這些解決方案支援 BFSI、醫療保健、零售和通訊等各個領域的即時分析和決策。資料量的急劇成長需要由人工智慧技術支援的先進儲存解決方案，以增強資料管理、預測分析和儲存最佳化。邊緣運算和雲端運算的日益普及進一步推動了這個市場的發展。企業擴大整合人工智慧儲存系統，以簡化營運、增強資料安全性並最大限度地減少停機時間。隨著企業 IT 環境變得越來越複雜和資料移動性的增加，這些創新的儲存解決方案將在確保管理工作負載的靈活性和效率方面發揮關鍵作用，從而推動人工智慧主導的儲存產業向前發展。

北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區

競爭資訊

前五大公司對比
主要企業市場定位（2024年）
主要市場參與者所採取的策略
近期市場趨勢
公司市佔率分析（2024年）
主要企業簡介
- 公司詳情
- 產品系列分析
- 按部門分類的公司佔有率分析
- 收益同比比較（2022-2024 年）

主要企業簡介

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）

結論和建議

簡介目錄

Product Code: SQMIG45I2304

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.

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