查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1423687

到 2030 年配備人工智慧 (AI) 的儲存系統市場預測：按產品、儲存系統、儲存媒體、儲存架構、最終用戶和地區進行的全球分析

Artificial Intelligence Powered Storage System Market Forecasts to 2030 - 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 200+ Pages | 商品交期: 2-3個工作天內

價格

根據Stratistics MRC預測，2023年全球人工智慧（AI）驅動的儲存市場規模將達到242.6億美元，預測期內複合年成長率為24.70%，預計到2030年將達到1137.4億美元。

人工智慧 (AI) 支援的儲存是一個術語，用於描述使用 AI 技術來提高資料儲存系統的效能、效率和管理的儲存解決方案。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。借助這項獨特的解決方案，企業可以提高其儲存基礎架構的回應能力、擴充性和經濟性。

資料中心現代化

企業正在尋求改善其基礎設施，以滿足人工智慧工作負載不斷成長的需求。人工智慧應用程式會產生大型資料集，需要有效的儲存選項才能快速存取和分析。透過採用人工智慧 (AI) 支援的儲存解決方案對資料中心進行現代化改造，可以提高效能、可擴展性和回應能力，這些解決方案還可以最佳化 AI 演算法的資料處理。這些解決方案經常利用預測分析機器學習演算法等最尖端科技來改善資料管理並確保與正在開發的人工智慧應用程式順利整合。

資料安全和隱私問題

這些系統對敏感資料的大規模收集和分析增加了不必要的存取和安全漏洞的可能性。強大的加密、存取控制和遵守資料保護法對於減輕這些風險至關重要。面臨的挑戰是在保護人們的隱私和利用人工智慧的潛力來最佳化儲存之間取得謹慎的平衡。資料隱私意識的提高和法規的收緊凸顯了人工智慧驅動的儲存解決方案需要具有強大的安全功能。

智慧資料備份與恢復

透過利用尖端演算法和機器學習，智慧資料備份和復原為人工智慧 (AI) 支援的儲存市場提供了巨大的機會。人工智慧 (AI) 可以透過預測可能的威脅和簡化備份計劃來提高資料安全性。透過智慧分析和自動化，人工智慧主導的恢復解決方案可以促進更快、更準確的資料恢復，並提高整體系統的彈性。此外，在備份和復原過程中使用人工智慧可以幫助組織滿足管理和保護關鍵資料不斷變化的需求，從而提高競爭力。

供應商鎖定

在人工智慧 (AI) 支援的儲存市場中，供應商鎖定是指過度依賴單一供應商的專有技術或格式的風險。實施人工智慧儲存解決方案的組織可能會採用專門的供應商特定格式和演算法。因此，更換提供者可能很困難，彈性有限且更換成本較高。在人工智慧儲存的背景下，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，可以將使用者從供應商鎖定中解放出來，並培育一個更具競爭力和可互通性的市場。

COVID-19 的影響：

隨著遠距工作變得越來越普遍，對可擴展且有效的儲存解決方案來處理快速成長的資料量的需求也在增加。企業正在使用人工智慧驅動的儲存來提高安全性、可存取性和資料管理。支持人工智慧和機器學習應用的強大基礎設施的需求推動了對尖端儲存技術的投資。此外，儘管最初出現供應鏈中斷，但隨著企業優先考慮數位轉型舉措，市場已強勁復甦，這正在推動人工智慧 (AI) 支援的儲存解決方案的採用。

預計硬碟機產業在預測期內將是最大的。

由於高儲存容量和實惠的價格可以滿足人工智慧應用程式的大量資料需求，硬碟（HDD）領域正在強勁成長。對於尋求可擴展儲存解決方案的企業來說，HDD 是更好的選擇，因為它們提供了可靠且經濟實惠的方式來儲存 AI 演算法生成的大型資料集。此外，由於面密度提高、轉速加快等技術發展，硬碟的效能也得到了提升，滿足了人工智慧密集資料處理的需求。

網路附加儲存系統領域預計將在預測期內經歷最高的複合年成長率。

人工智慧時代對有效且擴充性的儲存解決方案的需求不斷成長，正在推動網路附加儲存系統領域的發展。處理大型資料集需要快速的資料存取和儲存能力，這些能力由與人工智慧工作流程無縫整合的 NAS 系統提供。隨著人工智慧應用在製造、醫療保健和金融等眾多行業中變得越來越普遍，對功能強大且易於存取的儲存解決方案的需求也在成長。隨著資料管理能力的提高，NAS 系統對於實施人工智慧計劃的公司變得至關重要，從而導致該細分市場的顯著成長。

比最大的地區

北美在全球人工智慧產業中發揮關鍵作用，人工智慧在各行業中得到更廣泛的應用，推動了該地區人工智慧 (AI) 驅動的儲存解決方案的成長。該地區強大的技術基礎設施、大量的研發投資和充滿活力的新興企業生態系統正在推動人工智慧 (AI) 支援的儲存解決方案的使用增加。由於對高階資料管理和分析功能的需求不斷成長，北美人工智慧 (AI) 支援的儲存市場預計將穩定成長。此外，這也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：

亞太地區人工智慧驅動的儲存市場正在顯著成長。這主要是由於該地區擴大採用最尖端科技和廣泛的數位轉型。對有效資料管理解決方案日益成長的需求推動了人工智慧與儲存系統的結合。雲端基礎設施的擴展、快速發展的 IT 環境以及快速的經濟發展進一步推動了這種成長。中國、印度和日本等主要國家正在利用人工智慧驅動的儲存來提高擴充性、最佳化資源利用率並改善資料分析。

提供免費客製化：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球人工智慧 (AI) 支援的儲存市場：按產品分類

  • 硬體
  • 軟體
  • 其他產品

第6章全球人工智慧（AI）儲存市場：依儲存系統分類

  • 直連儲存系統
  • 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（AI）儲存市場：按儲存媒體分類

  • 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
  • 其他儲存媒體

第8章全球人工智慧（AI）驅動的儲存市場：按儲存架構

  • 區塊儲存
  • 檔案式的存儲
  • 物件式的存儲
  • 其他儲存架構

第9章全球配備人工智慧（AI）的儲存市場：按最終用戶分類

  • 公司
    • 媒體和娛樂
    • BFSI
    • 衛生保健
    • 零售
    • 消費品
    • 製造業
    • 其他公司
  • 政府機關
  • 電信業者
  • 雲端服務供應商
  • 其他最終用戶

第10章全球配備人工智慧（AI）的儲存市場：按地區

  • 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
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 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 $24.26 billion in 2023 and is expected to reach $113.74 billion by 2030 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 2021, 2022, 2023, 2026, and 2030
  • 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 (2021-2030) ($MN)
  • Table 2 Global AI Powered Storage Market Outlook, By Offering (2021-2030) ($MN)
  • Table 3 Global AI Powered Storage Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 4 Global AI Powered Storage Market Outlook, By Software (2021-2030) ($MN)
  • Table 5 Global AI Powered Storage Market Outlook, By Other Offerings (2021-2030) ($MN)
  • Table 6 Global AI Powered Storage Market Outlook, By Storage System (2021-2030) ($MN)
  • Table 7 Global AI Powered Storage Market Outlook, By Direct Attached Storage Systems (2021-2030) ($MN)
  • Table 8 Global AI Powered Storage Market Outlook, By Network Attached Storage Systems (2021-2030) ($MN)
  • Table 9 Global AI Powered Storage Market Outlook, By Storage Area Network (2021-2030) ($MN)
  • Table 10 Global AI Powered Storage Market Outlook, By Other Storage Systems (2021-2030) ($MN)
  • Table 11 Global AI Powered Storage Market Outlook, By Storage Medium (2021-2030) ($MN)
  • Table 12 Global AI Powered Storage Market Outlook, By Hard Disk Drive (2021-2030) ($MN)
  • Table 13 Global AI Powered Storage Market Outlook, By Solid State Drive (2021-2030) ($MN)
  • Table 14 Global AI Powered Storage Market Outlook, By All Flash Arrays (2021-2030) ($MN)
  • Table 15 Global AI Powered Storage Market Outlook, By Hybrid Flash Arrays (2021-2030) ($MN)
  • Table 16 Global AI Powered Storage Market Outlook, By Other Solid State Drives (2021-2030) ($MN)
  • Table 17 Global AI Powered Storage Market Outlook, By Other Storage Mediums (2021-2030) ($MN)
  • Table 18 Global AI Powered Storage Market Outlook, By Storage Architecture (2021-2030) ($MN)
  • Table 19 Global AI Powered Storage Market Outlook, By Block Storage (2021-2030) ($MN)
  • Table 20 Global AI Powered Storage Market Outlook, By File Based Storage (2021-2030) ($MN)
  • Table 21 Global AI Powered Storage Market Outlook, By Object Based Storage (2021-2030) ($MN)
  • Table 22 Global AI Powered Storage Market Outlook, By Other Storage Architectures (2021-2030) ($MN)
  • Table 23 Global AI Powered Storage Market Outlook, By End User (2021-2030) ($MN)
  • Table 24 Global AI Powered Storage Market Outlook, By Enterprises (2021-2030) ($MN)
  • Table 25 Global AI Powered Storage Market Outlook, By Media and Entertainment (2021-2030) ($MN)
  • Table 26 Global AI Powered Storage Market Outlook, By BFSI (2021-2030) ($MN)
  • Table 27 Global AI Powered Storage Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 28 Global AI Powered Storage Market Outlook, By Retail (2021-2030) ($MN)
  • Table 29 Global AI Powered Storage Market Outlook, By Consumer Goods (2021-2030) ($MN)
  • Table 30 Global AI Powered Storage Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 31 Global AI Powered Storage Market Outlook, By Other Enterprises (2021-2030) ($MN)
  • Table 32 Global AI Powered Storage Market Outlook, By Government Bodies (2021-2030) ($MN)
  • Table 33 Global AI Powered Storage Market Outlook, By Telecom Companies (2021-2030) ($MN)
  • Table 34 Global AI Powered Storage Market Outlook, By Cloud Service Providers (2021-2030) ($MN)
  • Table 35 Global AI Powered Storage Market Outlook, By Other End Users (2021-2030) ($MN)

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