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人工智能

人工智慧储存市场规模、份额、成长分析（按组件、按储存系统、按储存架构、按储存媒体、按最终用户、按地区）——产业预测 2025-2032

市场调查报告书

商品编码

1831598

人工智慧储存市场规模、份额、成长分析（按组件、按储存系统、按储存架构、按储存媒体、按最终用户、按地区）——产业预测 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个工作天内

价格

简介目录

预计 2023 年全球人工智慧储存市场价值将达到 161 亿美元，从 2024 年的 186.6 亿美元成长到 2032 年的 607.5 亿美元，预测期内（2025-2032 年）的复合年增长率为 15.9%。

全球人工智慧储存市场正在经历显着成长，这得益于对智慧储存解决方案日益增长的需求，这些解决方案支援 BFSI、医疗保健、零售和通讯等各个领域的即时分析和决策。资料量的急剧增长需要由人工智慧技术支援的先进储存解决方案，以增强资料管理、预测分析和储存最佳化。边缘运算和云端运算的日益普及进一步推动了这个市场的发展。企业越来越多地整合人工智慧储存系统，以简化营运、增强资料安全性并最大限度地减少停机时间。随着企业 IT 环境变得越来越复杂和资料移动性的增加，这些创新的储存解决方案将在确保管理工作负载的灵活性和效率方面发挥关键作用，从而推动人工智慧主导的储存产业向前发展。

北美洲
- 美国
- 加拿大
欧洲
- 德国
- 西班牙
- 法国
- 英国
- 义大利
- 其他欧洲地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 其他亚太地区
拉丁美洲
- 巴西
- 其他拉丁美洲地区
中东和非洲
- 海湾合作委员会国家
- 南非
- 其他中东和非洲地区

竞争资讯

前五大公司对比
主要企业市场定位（2024年）
主要市场参与者所采取的策略
近期市场趋势
公司市占率分析（2024年）
主要企业简介
- 公司详情
- 产品系列分析
- 按部门分類的公司份额分析
- 收益同比比较（2022-2024 年）

主要企业简介

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）

结论和建议

简介目录

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