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市場調查報告書
商品編碼
1970011

2026年人工智慧賦能儲存全球市場報告

AI-Powered Storage Global Market Report 2026

出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來,人工智慧驅動的儲存市場發展迅速。預計該市場規模將從2025年的394.9億美元成長到2026年的501.9億美元,複合年成長率(CAGR)高達27.1%。過去幾年的成長主要歸功於企業資料量不斷成長、雲端運算應用日益普及、高效能儲存需求不斷增加、資料管理日益複雜以及虛擬化技術的進步等因素。

預計未來幾年,人工智慧驅動的儲存市場將快速成長,到2030年將達到1,326.8億美元,複合年成長率(CAGR)為27.5%。預測期內的成長要素包括:人工智慧驅動的基礎設施管理的普及、對即時數據洞察需求的不斷成長、混合雲端環境的擴展、對節能儲存系統的關注以及數據密集型應用的成長。預測期內的關鍵趨勢包括:智慧資料生命週期管理、自動化儲存最佳化、儲存系統的預測性維護、人工智慧驅動的資料分層以及增強的資料分析整合。

資料中心數量的成長預計將推動人工智慧驅動型儲存市場的未來成長。資料中心是透過先進的網路運算和儲存基礎設備提供應用程式和資料共用存取的設施。人工智慧驅動型儲存系統利用機器學習演算法和預測分析來分析這些資料中心內的大量即時數據。這種能力使資料中心營運商能夠識別模式並做出明智的決策,從而最佳化資源分配、容量規劃和工作負載管理。例如,根據美國商業房地產服務和投資公司世邦魏理仕集團(CBRE Group)2023年7月發布的數據,目前正在建造的資料中心容量已達到創紀錄的323.9兆瓦,其中88.4%已被租賃。此前,達拉斯去年的租賃活動成長了850%,2022年第一季至2023年第一季的總庫存年增了17%。因此,資料中心數量的成長正在推動人工智慧驅動型儲存市場的成長。

人工智慧儲存市場的主要企業正致力於採用利用尖端技術的先進解決方案,特別是高效能運算 (HPC) 和機器學習演算法,以追求競爭優勢。 HPC 以其強大的運算能力而聞名,能夠顯著加速人工智慧演算法(尤其是基於機器學習和深度學習的演算法)的訓練過程,並縮短開發和改進人工智慧模型所需的時間。此外,將機器學習演算法整合到人工智慧儲存解決方案中,可最佳化儲存效能並提高成本效益。例如,NVIDIA 於 2023 年 3 月發布了“DGX Cloud”,這是一項人工智慧超級運算服務,可立即提供高級模型訓練(包括生成式人工智慧應用)所需的硬體和軟體元件。該服務旨在透過整合 HPC 和機器學習演算法等核心組件,實現儲存效能的提升和成本的降低。 NVIDIA 最初與 Oracle 雲端基礎架構 (OCI) 合作,並與主要雲端服務供應商合作,共同託管 DGX Cloud 基礎架構。 OCI 超級叢集具有高效能的小型資料庫,可擴展到叢集規模,包含超過 32,000 個 GPU、裸機運算和專用 RDMA 網路。

目錄

第1章:執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球人工智慧驅動儲存市場:吸引力評分及分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單:主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章:全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧(AI)和自主人工智慧
    • 數位化、雲端運算、巨量資料、網路安全
    • 物聯網、智慧基礎設施、互聯生態系統
    • 工業4.0和智慧製造
    • 永續性、氣候技術、循環經濟
  • 主要趨勢
    • 智慧資料生命週期管理
    • 自動儲存最佳化
    • 儲存系統的預測性維護
    • 人工智慧驅動的資料分層
    • 增強數據分析整合

第5章 終端用戶產業市場分析

  • 公司
  • 政府機構
  • 雲端服務供應商
  • 電信業者
  • 資料中心營運商

第6章 市場:宏觀經濟情景,包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響,以及 COVID-19 疫情對市場的影響。

第7章:全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球人工智慧驅動型儲存市場:PESTEL 分析(政治、社會、技術、環境、法律因素、促進因素和限制因素)
  • 全球人工智慧驅動儲存市場規模、對比及成長率分析
  • 全球人工智慧驅動儲存市場表現:規模與成長,2020-2025年
  • 全球人工智慧驅動儲存市場預測:規模與成長,2025-2030年,2035年預測

第8章:全球市場總規模(TAM)

第9章 市場細分

  • 報價
  • 軟體、硬體
  • 儲存系統
  • 直接附加儲存、網路附加儲存、儲存區域網路
  • 透過儲存媒體
  • 硬碟機(HDD)、固態硬碟(SSD)
  • 儲存架構
  • 文件儲存和物件式儲存、區塊存儲
  • 最終用戶
  • 企業、政府機構、雲端服務供應商、電信業者和其他最終用戶
  • 按類型細分:軟體
  • AI儲存管理軟體、資料分析軟體、AI驅動的備份和復原解決方案
  • 按類型細分:硬體
  • 人工智慧最佳化儲存設備、混合式儲存解決方案、高效能儲存系統

第10章各國市場/產業指標

第11章 區域與國別分析

  • 全球人工智慧驅動儲存市場:按地區分類,實際數據和預測數據,2020-2025年、2025-2030年、2035年
  • 全球人工智慧驅動儲存市場:按國家/地區分類,實際數據和預測數據,2020-2025 年、2025-2030 年、2035 年

第12章 亞太市場

第13章:中國市場

第14章:印度市場

第15章:日本市場

第16章:澳洲市場

第17章:印尼市場

第18章:韓國市場

第19章 台灣市場

第20章:東南亞市場

第21章 西歐市場

第22章英國市場

第23章:德國市場

第24章:法國市場

第25章:義大利市場

第26章:西班牙市場

第27章 東歐市場

第28章:俄羅斯市場

第29章 北美市場

第30章:美國市場

第31章:加拿大市場

第32章:南美洲市場

第33章:巴西市場

第34章 中東市場

第35章:非洲市場

第36章 市場監理與投資環境

第37章:競爭格局與公司概況

  • 人工智慧驅動的儲存市場:競爭格局與市場佔有率(2024 年)
  • 人工智慧驅動的儲存市場:公司估值矩陣
  • 人工智慧驅動的儲存市場:公司概況
    • Google LLC
    • Samsung Electronics Co. Ltd.
    • Microsoft Corporation
    • Dell Technologies Inc.
    • Hitachi Ltd.

第38章 其他大型企業和創新企業

  • Lenovo Group Limited, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Fujitsu Limited, Micron Technology Inc., Hewlett Packard Enterprise Company(HPE), Nvidia Corporation, Toshiba Corporation, Pure Storage Inc., Veritas Technologies LLC, Cohesity Inc., Infinidat, Tintri Inc., CTERA Networks Ltd.

第39章 全球市場競爭基準分析與儀錶板

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年人工智慧驅動儲存市場:提供新機會的國家
  • 2030年人工智慧驅動的儲存市場:蘊藏新機會的細分市場
  • 2030年人工智慧驅動儲存市場:成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
Product Code: IT3MAPSO01_G26Q1

AI-powered storage encompasses storage systems that leverage artificial intelligence techniques to enhance the efficiency, performance, and management of storage infrastructure. These systems utilize the capabilities of AI algorithms to intelligently analyze digital data, thereby improving overall storage operations. The goal is to enable businesses to rapidly and intelligently analyze data, providing instant insights.

The primary offerings in AI-powered storage include software and hardware. Software plays a crucial role, representing a collection of scripts, instructions, and data designed to execute specific activities. In the context of AI-powered storage, software contributes to reducing errors and enhancing accuracy and precision in data storage. Various storage systems fall under the umbrella of AI-powered storage, including direct-attached storage, network-attached storage, and storage area network. These systems utilize storage mediums such as hard disk drives (HDD) and solid-state drives (SSD) and leverage different storage architectures such as file and object-based storage, as well as block storage. AI-powered storage finds applications across diverse sectors, serving enterprises, government bodies, cloud service providers, telecom companies, and other end-users.

Tariffs have impacted the AI-powered storage market by increasing costs for imported semiconductors, storage controllers, and high-performance hardware components. These impacts are more visible in hardware-based storage systems and hybrid storage solutions that rely on global supply chains. Regions such as asia-pacific and north america have faced pricing pressures due to tariff-driven component shortages. Higher tariffs have slightly increased deployment costs for enterprises and cloud providers. At the same time, tariffs have encouraged localized manufacturing and innovation in software-driven storage optimization solutions.

The AI-powered storage market research report is one of a series of new reports from The Business Research Company that provides AI-powered storage market statistics, including AI-powered storage industry global market size, regional shares, competitors with a AI-powered storage market share, detailed AI-powered storage market segments, market trends and opportunities, and any further data you may need to thrive in the AI-powered storage industry. This AI-powered storage market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI-powered storage market size has grown exponentially in recent years. It will grow from $39.49 billion in 2025 to $50.19 billion in 2026 at a compound annual growth rate (CAGR) of 27.1%. The growth in the historic period can be attributed to growth in enterprise data volumes, expansion of cloud computing adoption, rising demand for high-performance storage, increasing complexity of data management, growth of virtualization technologies.

The AI-powered storage market size is expected to see exponential growth in the next few years. It will grow to $132.68 billion in 2030 at a compound annual growth rate (CAGR) of 27.5%. The growth in the forecast period can be attributed to adoption of AI-driven infrastructure management, increasing demand for real-time data insights, expansion of hybrid cloud environments, focus on energy-efficient storage systems, growth of data-intensive applications. Major trends in the forecast period include intelligent data lifecycle management, automated storage optimization, predictive maintenance for storage systems, AI-driven data tiering, enhanced data analytics integration.

The increasing number of data centers is projected to drive the growth of the AI-powered storage market in the future. Data centers are facilities that provide shared access to applications and data through an advanced network, computing, and storage infrastructure. AI-powered storage systems analyze large volumes of real-time data within these data centers using machine learning algorithms and predictive analytics. This capability enables data center operators to identify patterns and make informed decisions for optimizing resource allocation, capacity planning, and workload management. For example, in July 2023, data published by CBRE Group, Inc., a US-based commercial real estate services and investment firm, indicated that a record 323.9 MW of data center capacity is currently under construction, with 88.4% already preleased. This follows an 850% increase in leasing activity in Dallas last year, while total inventory grew by 17% year-over-year from Q1 2022 to Q1 2023. Thus, the rising number of data centers is propelling the growth of the AI-powered storage market.

Leading entities within the AI-powered storage market are channeling efforts towards introducing advanced solutions leveraging cutting-edge technologies, particularly high-performance computing (HPC) and machine learning algorithms, in pursuit of a competitive advantage. HPC, renowned for its computational prowess, significantly accelerates AI algorithm training processes, notably those rooted in machine learning and deep learning, thereby reducing the time required for AI model development and refinement. Furthermore, the integration of machine learning algorithms within AI-powered storage solutions optimizes storage performance and cost-efficiency. For instance, in March 2023, Nvidia Corporation unveiled DGX Cloud, an AI supercomputing service empowering businesses with immediate access to essential hardware and software components for training sophisticated models, including generative AI applications. This service amalgamates integral components such as high-performance computing (HPC) and machine learning algorithms, striving to enhance storage performance while concurrently minimizing costs. Collaborating initially with Oracle Cloud Infrastructure (OCI), Nvidia aims to host DGX Cloud Infrastructure with top cloud service providers. OCI Supercluster, equipped with high-performance local and block storage, scales to encompass superclusters exceeding 32,000 GPUs, bare-metal compute, and an RDMA network tailored explicitly for this purpose.

In June 2023, Virtana Corp., a US-based hybrid cloud optimization platform, acquired OpsCruise Inc. for an undisclosed sum. With this acquisition, Virtana intends to strengthen its hybrid infrastructure management capabilities by incorporating advanced cloud and Kubernetes observability tools, which will enhance performance monitoring and cost efficiency for IT operations teams. OpsCruise Inc. is a US-based company specializing in cloud applications performance assurance, offering AI-powered cloud storage solutions.

Major companies operating in the ai-powered storage market are Google LLC; Samsung Electronics Co. Ltd.; Microsoft Corporation; Dell Technologies Inc.; Hitachi Ltd.; Lenovo Group Limited; Intel Corporation; International Business Machines Corporation; Cisco Systems Inc.; Fujitsu Limited; Micron Technology Inc.; Hewlett Packard Enterprise Company (HPE); Nvidia Corporation; Toshiba Corporation; Pure Storage Inc.; Veritas Technologies LLC; Cohesity Inc.; Infinidat; Tintri Inc.; CTERA Networks Ltd.; Zadara Inc.; Pavilion Data Systems Inc.; MinIO Inc.; DriveScale Inc.; Caringo Inc.

North America was the dominant region in the AI-powered storage market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI-powered storage market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the AI-powered storage market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI-powered storage market consists of revenues earned by entities by providing services such as modernizing storage infrastructure, supercomputing stability, securing data, data management, and data storage. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-powered storage market also includes sales of floppy disks, optical discs, compact discs (CDs) and digital video discs (DVDs), and flash drives. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI-Powered Storage Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses ai-powered storage market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
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Where is the largest and fastest growing market for ai-powered storage ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai-powered storage market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Offering: Software; Hardware
  • 2) By Storage System: Direct-Attached Storage; Network-Attached Storage; Storage Area Network
  • 3) By Storage Medium: Hard Disk Drive (HDD); Solid State Drive (SSD)
  • 4) By Storage Architecture: File And Object-Based Storage; Block Storage
  • 5) By End-User: Enterprises; Government Bodies; Cloud Service Providers; Telecom Companies; Other End-users
  • Subsegments:
  • 1) By Software: AI Storage Management Software; Data Analytics Software; AI-Driven Backup And Recovery Solutions
  • 2) By Hardware: AI-Optimized Storage Devices; Hybrid Storage Solutions; High-Performance Storage Systems
  • Companies Mentioned: Google LLC; Samsung Electronics Co. Ltd.; Microsoft Corporation; Dell Technologies Inc.; Hitachi Ltd.; Lenovo Group Limited; Intel Corporation; International Business Machines Corporation; Cisco Systems Inc.; Fujitsu Limited; Micron Technology Inc.; Hewlett Packard Enterprise Company (HPE); Nvidia Corporation; Toshiba Corporation; Pure Storage Inc.; Veritas Technologies LLC; Cohesity Inc.; Infinidat; Tintri Inc.; CTERA Networks Ltd.; Zadara Inc.; Pavilion Data Systems Inc.; MinIO Inc.; DriveScale Inc.; Caringo Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. AI-Powered Storage Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global AI-Powered Storage Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. AI-Powered Storage Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global AI-Powered Storage Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Industry 4.0 & Intelligent Manufacturing
    • 4.1.5 Sustainability, Climate Tech & Circular Economy
  • 4.2. Major Trends
    • 4.2.1 Intelligent Data Lifecycle Management
    • 4.2.2 Automated Storage Optimization
    • 4.2.3 Predictive Maintenance For Storage Systems
    • 4.2.4 Ai-Driven Data Tiering
    • 4.2.5 Enhanced Data Analytics Integration

5. AI-Powered Storage Market Analysis Of End Use Industries

  • 5.1 Enterprises
  • 5.2 Government Bodies
  • 5.3 Cloud Service Providers
  • 5.4 Telecom Companies
  • 5.5 Data Center Operators

6. AI-Powered Storage Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global AI-Powered Storage Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global AI-Powered Storage PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global AI-Powered Storage Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global AI-Powered Storage Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global AI-Powered Storage Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global AI-Powered Storage Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. AI-Powered Storage Market Segmentation

  • 9.1. Global AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software, Hardware
  • 9.2. Global AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Direct-Attached Storage, Network-Attached Storage, Storage Area Network
  • 9.3. Global AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hard Disk Drive (HDD), Solid State Drive (SSD)
  • 9.4. Global AI-Powered Storage Market, Segmentation By Storage Architecture, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • File And Object-Based Storage, Block Storage
  • 9.5. Global AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Enterprises, Government Bodies, Cloud Service Providers, Telecom Companies, Other End-users
  • 9.6. Global AI-Powered Storage Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI Storage Management Software, Data Analytics Software, AI-Driven Backup And Recovery Solutions
  • 9.7. Global AI-Powered Storage Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI-Optimized Storage Devices, Hybrid Storage Solutions, High-Performance Storage Systems

10. AI-Powered Storage Market, Industry Metrics By Country

  • 10.1. Global AI-Powered Storage Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global AI-Powered Storage Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. AI-Powered Storage Market Regional And Country Analysis

  • 11.1. Global AI-Powered Storage Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global AI-Powered Storage Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific AI-Powered Storage Market

  • 12.1. Asia-Pacific AI-Powered Storage Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China AI-Powered Storage Market

  • 13.1. China AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India AI-Powered Storage Market

  • 14.1. India AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan AI-Powered Storage Market

  • 15.1. Japan AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia AI-Powered Storage Market

  • 16.1. Australia AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia AI-Powered Storage Market

  • 17.1. Indonesia AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea AI-Powered Storage Market

  • 18.1. South Korea AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan AI-Powered Storage Market

  • 19.1. Taiwan AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia AI-Powered Storage Market

  • 20.1. South East Asia AI-Powered Storage Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe AI-Powered Storage Market

  • 21.1. Western Europe AI-Powered Storage Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK AI-Powered Storage Market

  • 22.1. UK AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany AI-Powered Storage Market

  • 23.1. Germany AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France AI-Powered Storage Market

  • 24.1. France AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy AI-Powered Storage Market

  • 25.1. Italy AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain AI-Powered Storage Market

  • 26.1. Spain AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe AI-Powered Storage Market

  • 27.1. Eastern Europe AI-Powered Storage Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia AI-Powered Storage Market

  • 28.1. Russia AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America AI-Powered Storage Market

  • 29.1. North America AI-Powered Storage Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA AI-Powered Storage Market

  • 30.1. USA AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada AI-Powered Storage Market

  • 31.1. Canada AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America AI-Powered Storage Market

  • 32.1. South America AI-Powered Storage Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil AI-Powered Storage Market

  • 33.1. Brazil AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East AI-Powered Storage Market

  • 34.1. Middle East AI-Powered Storage Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa AI-Powered Storage Market

  • 35.1. Africa AI-Powered Storage Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. AI-Powered Storage Market Regulatory and Investment Landscape

37. AI-Powered Storage Market Competitive Landscape And Company Profiles

  • 37.1. AI-Powered Storage Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. AI-Powered Storage Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. AI-Powered Storage Market Company Profiles
    • 37.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

38. AI-Powered Storage Market Other Major And Innovative Companies

  • Lenovo Group Limited, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Fujitsu Limited, Micron Technology Inc., Hewlett Packard Enterprise Company (HPE), Nvidia Corporation, Toshiba Corporation, Pure Storage Inc., Veritas Technologies LLC, Cohesity Inc., Infinidat, Tintri Inc., CTERA Networks Ltd.

39. Global AI-Powered Storage Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The AI-Powered Storage Market

41. AI-Powered Storage Market High Potential Countries, Segments and Strategies

  • 41.1. AI-Powered Storage Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. AI-Powered Storage Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. AI-Powered Storage Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer