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2041855

人工智慧驅動的儲存系統市場預測——全球分析（按產品、儲存系統、儲存媒體、儲存架構、最終用戶和地區分類）——2034年

Artificial Intelligence Powered Storage System Market Forecasts to 2034 - Global Analysis By Offering, Storage System, Storage Medium, Storage Architecture, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

全球人工智慧驅動的儲存系統市場預計到 2026 年將達到 470 億美元，並在預測期內以 24.70% 的複合年成長率成長，到 2034 年將達到 2,751 億美元。

人工智慧 (AI) 儲存是指利用 AI 技術來提升資料儲存系統的效能、效率和可管理性的儲存解決方案。這些系統使用機器學習演算法來分析資料模式、預測使用情況並即時最佳化儲存資源。透過利用這項創新解決方案，企業可以提高儲存基礎設備的反應速度、擴充性和成本效益。

資料中心現代化

為了滿足日益成長的人工智慧工作負載需求，企業正在不斷改進其基礎設施。人工智慧應用會產生大量資料集，因此高效的儲存方案對於快速存取和分析至關重要。利用人工智慧驅動的儲存系統解決方案對資料中心進行現代化改造，可以提升效能、可擴展性和反應速度，同時最佳化人工智慧演算法的資料處理。這些解決方案通常會利用預測分析和機器學習演算法等最尖端科技，從而改善資料管理並確保與正在開發的人工智慧應用無縫整合。

資料安全和隱私問題

這些系統大規模收集和分析敏感數據，增加了未授權存取和安全漏洞的風險。強大的加密技術、存取控制以及遵守資料保護法律法規對於降低這些風險至關重要。挑戰在於如何謹慎地平衡保護用戶隱私與利用人工智慧最佳化儲存的潛力。人們對資料隱私日益成長的擔憂以及日益嚴格的監管凸顯了人工智慧驅動的儲存解決方案需要強大的安全功能。

智慧資料備份與恢復

利用尖端演算法和機器學習技術，智慧資料備份和復原為人工智慧驅動的儲存市場帶來了巨大的機會。人工智慧 (AI) 可以透過預測潛在威脅和最佳化備份計畫來提升資料安全性。透過智慧分析和自動化，AI 驅動的恢復解決方案能夠實現更快、更準確的資料恢復，從而提高整體系統彈性。此外，在備份和復原流程中使用 AI 能夠滿足企業不斷變化的關鍵資料管理和保護需求，從而帶來競爭優勢。

供應商鎖定

在人工智慧驅動的儲存市場中，「供應商鎖定」指的是過度依賴單一供應商的專有技術和格式的風險。部署人工智慧儲存解決方案的組織可能會採用特定供應商的格式和演算法。這會使切換供應商變得困難，限制柔軟性，並可能導致高昂的切換成本。在人工智慧儲存領域，「供應商鎖定」的風險凸顯了開放原始碼解決方案和標準化的價值。這些方案能夠幫助用戶擺脫供應商鎖定，並促進更具競爭力和互通性的市場發展。

新冠疫情的影響：

隨著遠距辦公日益普及，企業對可擴展、高效的儲存解決方案的需求也日益成長，以應對資料量的激增。企業正在利用人工智慧驅動的儲存技術來提升安全性、可存取性和資料管理水準。為了支援人工智慧和機器學習應用，企業需要強大的基礎設施，這推動了對尖端儲存技術的投資。此外，儘管初期供應鏈受到干擾，但隨著企業優先推進數位轉型（DX）計劃，市場已強勁復甦，這也促進了人工智慧驅動的儲存系統解決方案的普及。

在預測期內，硬碟 (HDD) 細分市場預計將成為最大的細分市場。

由於硬碟 (HDD) 具有高儲存容量和價格優勢，能夠滿足人工智慧 (AI) 應用的大量資料需求，因此硬碟市場正經歷強勁成長。對於尋求可擴展儲存解決方案的企業而言，HDD 是更佳選擇，因為它提供了一種可靠且經濟的方式來儲存 AI 演算法生成的大規模資料集。此外，面密度提升和轉速加快等技術進步也提高了 HDD 的效能，從而滿足了 AI 對資料處理的高要求。

預計在預測期內，網路附加儲存 (NAS) 系統細分市場將呈現最高的複合年成長率。

在人工智慧 (AI) 時代，對高效且可擴展的儲存解決方案的需求日益成長，推動了網路附加儲存 (NAS) 系統市場的發展。處理大規模資料集需要高速資料存取和儲存能力，而 NAS 系統能夠與 AI 工作流程無縫整合，滿足這些需求。隨著 AI 應用在製造業、醫療保健和金融等更廣泛的行業中得到應用，對強大且易於存取的儲存解決方案的需求也日益成長。資料管理能力的提升使得 NAS 系統成為部署 AI 專案企業不可或缺的工具，從而帶動了該細分市場的顯著成長。

市佔率最大的地區：

北美在全球人工智慧產業中扮演著至關重要的角色，該地區人工智慧儲存系統解決方案的成長得益於各行業對人工智慧的日益普及。北美強大的技術基礎設施、大規模的研發投入以及充滿活力的新創企業生態系統，都為人工智慧儲存系統解決方案的廣泛應用做出了貢獻。由於對先進數據管理和分析能力的需求不斷成長，預計北美人工智慧儲存系統市場將保持穩步成長。此外，這將促進該地區儲存技術的創新和技術進步。

複合年成長率最高的地區：

亞太地區的AI驅動型儲存系統市場正經歷顯著成長，這主要得益於該地區最尖端科技的日益普及和數位轉型的廣泛推進。對高效資料管理解決方案日益成長的需求正在加速人工智慧與儲存系統的整合。雲端基礎設施的擴張、快速發展的IT環境以及經濟的蓬勃發展進一步推動了這一成長。中國、印度和日本等主要國家正在利用AI驅動型儲存系統來提高可擴展性、最佳化資源利用率並增強數據分析能力。

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  • 企業概況
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目錄

第1章執行摘要

第2章：引言

  • 概括
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進因素
  • 抑制因子
  • 機會
  • 威脅
  • 最終用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章：波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的競爭

第5章 全球人工智慧（AI）儲存系統市場：依產品/服務分類

  • 硬體
  • 軟體
  • 其他配送方式

第6章 全球人工智慧驅動儲存系統市場：依儲存系統分類

  • 直接附加儲存系統
  • 網路附加儲存系統
  • 儲存區域網路
  • 其他儲存系統

第7章 全球人工智慧驅動儲存系統市場：按記錄媒體分類

  • 硬碟機
  • 固態硬碟
    • 全Flash陣列
    • 混合快閃記憶體陣列
    • 其他固態硬碟
  • 其他儲存錯誤

第8章 全球人工智慧驅動儲存系統市場：按儲存架構分類

  • 區塊儲存
  • 檔案式的存儲
  • 物件類型儲存
  • 其他儲存架構

第9章 全球人工智慧驅動儲存系統市場：按最終用戶分類

  • 公司
    • 媒體與娛樂
    • BFSI
    • 衛生保健
    • 零售
    • 消費品
    • 製造業
    • 其他公司
  • 政府機構
  • 通訊業者
  • 雲端服務供應商
  • 其他最終用戶

第10章 全球人工智慧（AI）儲存系統市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太國家
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • UAE
    • 卡達
    • 南非
    • 其他中東和非洲國家

第11章 主要發展

  • 合約、夥伴關係、合作關係、合資企業
  • 收購與併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：公司簡介

  • Advanced Micro Devices
  • CISCO
  • Datadirect Network
  • Dell Technologies
  • Flextronics International
  • Hitachi
  • HPE
  • IBM
  • Lenovo
  • Micron Technology
  • NetApp
  • NVIDIA Corporation
  • Pure Storage
  • Samsung Electronics
  • Seagate Technology PLC
  • Tintri
  • Toshiba
  • Western Digital
Product Code: SMRC24921

According to Stratistics MRC, the Global AI Powered Storage Market is accounted for $47.0 billion in 2026 and is expected to reach $275.1 billion by 2034 growing at a CAGR of 24.70% during the forecast period. Artificial intelligence (AI)-powered storage is a term used to describe storage solutions that use AI technologies to improve data storage system performance, efficiency, and management. These systems analyze data patterns, forecast usage, and optimize storage resources in real-time by using machine learning algorithms. With the help of this creative solution, businesses can improve the responsiveness, scalability, and affordability of their storage infrastructure.

Market Dynamics:

Driver:

Data center modernization

Businesses look to improve their infrastructure to handle the growing demands of AI workloads. Large datasets are produced by AI applications, necessitating effective storage options for speedy access and analysis. Improved performance, scalability, and responsiveness are made possible by modernizing data centers with AI-powered storage solutions, which also optimize data processing for AI algorithms. These solutions frequently make use of cutting-edge technologies, like predictive analytics machine learning algorithms, to improve data management and guarantee smooth integration with developing AI applications.

Restraint:

Data security and privacy concerns

Large-scale sensitive data collection and analysis by these systems increases the possibility of unwanted access and security breaches. To reduce these risks, it becomes essential to have strong encryption, access controls, and compliance with data protection laws. The difficulty is striking a careful balance between protecting people's privacy and utilizing AI's potential to optimize storage. Increased awareness of data privacy concerns and stricter regulations highlight the necessity of having robust security features in AI-powered storage solutions.

Opportunity:

Smart data backup and recovery

By utilizing cutting-edge algorithms and machine learning, intelligent data backup and recovery offers a substantial opportunity in the AI-powered storage market. Artificial intelligence (AI) can improve data security by anticipating possible threats and streamlining backup plans. Through intelligent analytics and automation, AI-driven recovery solutions facilitate quicker and more precise data restoration, improving overall system resilience. Furthermore, the use of AI in backup and recovery procedures gives organizations a competitive edge by meeting their changing needs for managing and protecting their vital data.

Threat:

Vendor lock-in

In the AI-powered storage market, vendor lock-in refers to the danger of becoming unduly reliant on the proprietary technologies and formats of a single provider. Organizations implementing AI storage solutions might incorporate vendor-specific, specialized formats or algorithms. This can make it difficult to switch providers, limiting flexibility and resulting in expensive switching expenses. In the context of AI storage, the risk of vendor lock-in highlights the value of open-source solutions and standardization, which free users from vendor lock-in and promote a more competitive and interoperable market.

Covid-19 Impact:

There is a growing need for scalable and effective storage solutions to handle the spike in data volume as remote work becomes more common. AI-powered storage is being used by businesses to improve security, accessibility, and data management. Investments in cutting-edge storage technologies have been fuelled by the necessity for a solid infrastructure to support AI and machine learning applications. Additionally, the market has recovered robustly despite early supply chain disruptions as companies prioritize digital transformation initiatives, which is driving up the adoption of AI-powered storage solutions.

The hard disk drive segment is expected to be the largest during the forecast period

The Hard Disk Drive (HDD) segment has seen strong growth because of its high storage capacities and affordability, which enable it to meet the enormous data requirements of AI applications. For enterprises looking for scalable storage solutions, HDDs are the better option because they provide a dependable and affordable means of storing large datasets produced by AI algorithms. Furthermore, the performance of HDDs has also been improved by developments in technology, such as increased areal density and faster rotational speeds, which are in line with AI's intensive data processing needs.

The network attached storage systems segment is expected to have the highest CAGR during the forecast period

The growing need for effective and scalable storage solutions in the artificial intelligence era is driving the network attached storage systems segment. Large dataset handling requires high-speed data access and storage capabilities, which are provided by NAS systems with seamless integration with AI workflows. Strong and easily accessible storage solutions are becoming more and more necessary as AI applications are being used in a wider range of industries, including manufacturing, healthcare, and finance. Because of their improved data management capabilities, NAS systems are becoming essential for businesses implementing AI projects, which have led to the significant growth this market segment has seen.

Region with largest share:

North America has played a significant role in the global AI industry, and the region's growth in AI-powered storage solutions is due to the fact that artificial intelligence is being adopted more widely in a variety of industries. The region is seeing an increase in the use of AI-powered storage solutions due to region's strong technological infrastructure, large R&D investments, and vibrant start-up ecosystem. North America's AI-powered storage market is predicted to grow steadily due to the region's increasing need for sophisticated data management and analytics capabilities. Further, this will encourage innovation and technological advancements in storage technologies of this region.

Region with highest CAGR:

The market for AI-powered storage has grown significantly in the Asia-Pacific region, primarily due to the region's increased adoption of cutting-edge technologies and the region's widespread digital transformation. The incorporation of artificial intelligence into storage systems has been facilitated by the increase in demand for effective data management solutions. This growth has been further fuelled by expanding cloud infrastructure, a rapidly developing IT landscape, and rapid economic development. Leading nations like China, India, and Japan are utilizing AI-powered storage to boost scalability, optimize resource usage, and improve data analytics.

Key players in the market

Some of the key players in AI Powered Storage market include Advanced Micro Devices, CISCO, Datadirect Network, Dell Technologies, Flextronics International, Hitachi, HPE , IBM, Lenovo, Micron Technology, NetApp, NVIDIA Corporation, Pure Storage, Samsung Electronics, Seagate Technology PLC, Tintri , Toshiba and Western Digital.

Key Developments:

In December 2023, Dell is collaborating with NVIDIA to validate PowerScale with NVIDIA DGX SuperPOD, an AI infrastructure solution. This collaboration promises a validated blend of NVIDIA DGX systems, Dell PowerScale storage, and advanced networking technologies to deliver faster and more efficient AI storage. Notably, Dell's PowerScale is set to be the first ethernet storage solution validated on NVIDIA DGX SuperPOD, ensuring customers access to industry-leading network-attached storage for their AI initiatives.

In October 2023, Seagate Technology and Perifer, announced a new on-premises solution for scaling out object storage. Integration between Perifery Swarm and Seagate Exos CORVAULT provides users in high-growth edge markets, including media and entertainment, health care, retail, and manufacturing, with a high-performance, scalable, and secure object storage solution that dramatically lowers CPU requirements, reduces costs, and improves the end-user experience.

Offerings Covered:

  • Hardware
  • Software
  • Other Offerings

Storage Systems Covered:

  • Direct Attached Storage Systems
  • Network Attached Storage Systems
  • Storage Area Network
  • Other Storage Systems

Storage Mediums Covered:

  • Hard Disk Drive
  • Solid State Drive
  • Other Storage Mediums

Storage Architectures Covered:

  • Block Storage
  • File Based Storage
  • Object Based Storage
  • Other Storage Architectures

End Users Covered:

  • Enterprises
  • Government Bodies
  • Telecom Companies
  • Cloud Service Providers
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Powered Storage Market, By Offering

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Other Offerings

6 Global AI Powered Storage Market, By Storage System

  • 6.1 Introduction
  • 6.2 Direct Attached Storage Systems
  • 6.3 Network Attached Storage Systems
  • 6.4 Storage Area Network
  • 6.5 Other Storage Systems

7 Global AI Powered Storage Market, By Storage Medium

  • 7.1 Introduction
  • 7.2 Hard Disk Drive
  • 7.3 Solid State Drive
    • 7.3.1 All Flash Arrays
    • 7.3.2 Hybrid Flash Arrays
    • 7.3.3 Other Solid State Drives
  • 7.4 Other Storage Mediums

8 Global AI Powered Storage Market, By Storage Architecture

  • 8.1 Introduction
  • 8.2 Block Storage
  • 8.3 File Based Storage
  • 8.4 Object Based Storage
  • 8.5 Other Storage Architectures

9 Global AI Powered Storage Market, By End User

  • 9.1 Introduction
  • 9.2 Enterprises
    • 9.2.1 Media and Entertainment
    • 9.2.2 BFSI
    • 9.2.3 Healthcare
    • 9.2.4 Retail
    • 9.2.5 Consumer Goods
    • 9.2.6 Manufacturing
    • 9.2.7 Other Enterprises
  • 9.3 Government Bodies
  • 9.4 Telecom Companies
  • 9.5 Cloud Service Providers
  • 9.6 Other End Users

10 Global AI Powered Storage Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Advanced Micro Devices
  • 12.2 CISCO
  • 12.3 Datadirect Network
  • 12.4 Dell Technologies
  • 12.5 Flextronics International
  • 12.6 Hitachi
  • 12.7 HPE
  • 12.8 IBM
  • 12.9 Lenovo
  • 12.10 Micron Technology
  • 12.11 NetApp
  • 12.12 NVIDIA Corporation
  • 12.13 Pure Storage
  • 12.14 Samsung Electronics
  • 12.15 Seagate Technology PLC
  • 12.16 Tintri
  • 12.17 Toshiba
  • 12.18 Western Digital

List of Tables

  • Table 1 Global AI Powered Storage Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Powered Storage Market Outlook, By Offering (2023-2034) ($MN)
  • Table 3 Global AI Powered Storage Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global AI Powered Storage Market Outlook, By Software (2023-2034) ($MN)
  • Table 5 Global AI Powered Storage Market Outlook, By Other Offerings (2023-2034) ($MN)
  • Table 6 Global AI Powered Storage Market Outlook, By Storage System (2023-2034) ($MN)
  • Table 7 Global AI Powered Storage Market Outlook, By Direct Attached Storage Systems (2023-2034) ($MN)
  • Table 8 Global AI Powered Storage Market Outlook, By Network Attached Storage Systems (2023-2034) ($MN)
  • Table 9 Global AI Powered Storage Market Outlook, By Storage Area Network (2023-2034) ($MN)
  • Table 10 Global AI Powered Storage Market Outlook, By Other Storage Systems (2023-2034) ($MN)
  • Table 11 Global AI Powered Storage Market Outlook, By Storage Medium (2023-2034) ($MN)
  • Table 12 Global AI Powered Storage Market Outlook, By Hard Disk Drive (2023-2034) ($MN)
  • Table 13 Global AI Powered Storage Market Outlook, By Solid State Drive (2023-2034) ($MN)
  • Table 14 Global AI Powered Storage Market Outlook, By All Flash Arrays (2023-2034) ($MN)
  • Table 15 Global AI Powered Storage Market Outlook, By Hybrid Flash Arrays (2023-2034) ($MN)
  • Table 16 Global AI Powered Storage Market Outlook, By Other Solid State Drives (2023-2034) ($MN)
  • Table 17 Global AI Powered Storage Market Outlook, By Other Storage Mediums (2023-2034) ($MN)
  • Table 18 Global AI Powered Storage Market Outlook, By Storage Architecture (2023-2034) ($MN)
  • Table 19 Global AI Powered Storage Market Outlook, By Block Storage (2023-2034) ($MN)
  • Table 20 Global AI Powered Storage Market Outlook, By File Based Storage (2023-2034) ($MN)
  • Table 21 Global AI Powered Storage Market Outlook, By Object Based Storage (2023-2034) ($MN)
  • Table 22 Global AI Powered Storage Market Outlook, By Other Storage Architectures (2023-2034) ($MN)
  • Table 23 Global AI Powered Storage Market Outlook, By End User (2023-2034) ($MN)
  • Table 24 Global AI Powered Storage Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 25 Global AI Powered Storage Market Outlook, By Media and Entertainment (2023-2034) ($MN)
  • Table 26 Global AI Powered Storage Market Outlook, By BFSI (2023-2034) ($MN)
  • Table 27 Global AI Powered Storage Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 28 Global AI Powered Storage Market Outlook, By Retail (2023-2034) ($MN)
  • Table 29 Global AI Powered Storage Market Outlook, By Consumer Goods (2023-2034) ($MN)
  • Table 30 Global AI Powered Storage Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 31 Global AI Powered Storage Market Outlook, By Other Enterprises (2023-2034) ($MN)
  • Table 32 Global AI Powered Storage Market Outlook, By Government Bodies (2023-2034) ($MN)
  • Table 33 Global AI Powered Storage Market Outlook, By Telecom Companies (2023-2034) ($MN)
  • Table 34 Global AI Powered Storage Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
  • Table 35 Global AI Powered Storage Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.