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市场调查报告书
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到 2030 年配备人工智慧 (AI) 的储存系统市场预测：按产品、储存系统、储存媒体、储存架构、最终用户和地区进行的全球分析

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个工作天内

价格

根据Stratistics MRC预测，2023年全球人工智慧（AI）驱动的储存市场规模将达到242.6亿美元，预测期内复合年增长率为24.70%，预计到2030年将达到1137.4亿美元。

人工智慧 (AI) 支援的储存是一个术语，用于描述使用 AI 技术来提高资料储存系统的效能、效率和管理的储存解决方案。这些系统使用机器学习演算法来分析资料模式、预测使用情况并即时优化储存资源。借助这项独特的解决方案，企业可以提高其储存基础架构的回应能力、扩充性和经济性。

资料中心现代化

企业正在寻求改善其基础设施，以满足人工智慧工作负载不断增长的需求。人工智慧应用程式会产生大型资料集，需要有效的储存选项才能快速存取和分析。透过采用人工智慧 (AI) 支援的储存解决方案对资料中心进行现代化改造，可以提高效能、可扩展性和回应能力，这些解决方案还可以优化 AI 演算法的资料处理。这些解决方案经常利用预测分析机器学习演算法等最尖端科技来改善资料管理并确保与正在开发的人工智慧应用程式顺利整合。

资料安全和隐私问题

这些系统对敏感资料的大规模收集和分析增加了不必要的存取和安全漏洞的可能性。强大的加密、存取控制和遵守资料保护法对于减轻这些风险至关重要。面临的挑战是在保护人们的隐私和利用人工智慧的潜力来优化储存之间取得谨慎的平衡。资料隐私意识的提高和法规的收紧凸显了人工智慧驱动的储存解决方案需要具有强大的安全功能。

智慧资料备份与恢復

透过利用尖端演算法和机器学习，智慧资料备份和復原为人工智慧 (AI) 支援的储存市场提供了巨大的机会。人工智慧 (AI) 可以透过预测可能的威胁和简化备份计划来提高资料安全性。透过智慧分析和自动化，人工智慧主导的恢復解决方案可以促进更快、更准确的资料恢復，并提高整体系统的弹性。此外，在备份和復原过程中使用人工智慧可以帮助组织满足管理和保护关键资料不断变化的需求，从而提高竞争力。

供应商锁定

在人工智慧 (AI) 支援的储存市场中，供应商锁定是指过度依赖单一供应商的专有技术或格式的风险。实施人工智慧储存解决方案的组织可能会采用专门的供应商特定格式和演算法。因此，更换提供者可能很困难，弹性有限且更换成本较高。在人工智慧储存的背景下，供应商锁定的风险凸显了开放原始码解决方案和标准化的价值，可以将使用者从供应商锁定中解放出来，并培育一个更具竞争力和可互通性的市场。

COVID-19 的影响：

随着远距工作变得越来越普遍，对可扩展且有效的储存解决方案来处理快速增长的资料量的需求也在增加。企业正在使用人工智慧驱动的储存来提高安全性、可存取性和资料管理。支持人工智慧和机器学习应用的强大基础设施的需求推动了对尖端储存技术的投资。此外，儘管最初出现供应链中断，但随着企业优先考虑数位转型倡议，市场已强劲復苏，这正在推动人工智慧 (AI) 支援的储存解决方案的采用。我是。

预计硬碟机产业在预测期内将是最大的。

由于高储存容量和实惠的价格可以满足人工智慧应用程式的大量资料需求，硬碟（HDD）领域正在强劲成长。对于寻求可扩展储存解决方案的企业来说，HDD 是更好的选择，因为它们提供了可靠且经济实惠的方式来储存 AI 演算法生成的大型资料集。此外，由于面密度提高、转速加快等技术发展，硬碟的效能也得到了提升，满足了人工智慧密集资料处理的需求。

网路附加储存系统领域预计将在预测期内经历最高的复合年增长率。

人工智慧时代对有效且扩充性的储存解决方案的需求不断增长，正在推动网路附加储存系统领域的发展。处理大型资料集需要快速的资料存取和储存能力，这些能力由与人工智慧工作流程无缝整合的 NAS 系统提供。随着人工智慧应用在製造、医疗保健和金融等众多行业中变得越来越普遍，对功能强大且易于存取的储存解决方案的需求也在增长。随着资料管理能力的提高，NAS 系统对于实施人工智慧计划的公司变得至关重要，从而导致该细分市场的显着成长。

比最大的地区

北美在全球人工智慧产业中发挥关键作用，人工智慧在各行业中得到更广泛的应用，推动了该地区人工智慧 (AI) 驱动的储存解决方案的成长。该地区强大的技术基础设施、大量的研发投资和充满活力的新兴企业生态系统正在推动人工智慧 (AI) 支援的储存解决方案的使用增加。由于对高阶资料管理和分析功能的需求不断增长，北美人工智慧 (AI) 支援的储存市场预计将稳定成长。此外，这也将促进该地区储存技术的创新和技术进步。

复合年增长率最高的地区：

亚太地区人工智慧驱动的储存市场正在显着成长。这主要是由于该地区越来越多地采用最尖端科技和广泛的数位转型。对有效资料管理解决方案日益增长的需求推动了人工智慧与储存系统的结合。云端基础设施的扩展、快速发展的 IT 环境以及快速的经济发展进一步推动了这种成长。中国、印度和日本等主要国家正在利用人工智慧驱动的储存来提高扩充性、优化资源利用率并改善资料分析。

提供免费客製化：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章 全球人工智慧 (AI) 支援的储存市场：按产品分类

  • 硬体
  • 软体
  • 其他产品

第六章全球人工智慧（AI）储存市场：依储存系统分类

  • 直连储存系统
  • 网路附加储存系统
  • 储存区域网路
  • 其他储存系统

第七章全球人工智慧（AI）储存市场：按储存媒体划分

  • 硬碟机
  • 固态硬碟
    • 全Flash阵列
    • 混合快闪记忆体阵列
    • 其他固态硬碟
  • 其他储存媒体

第八章全球人工智慧（AI）驱动的储存市场：按储存架构

  • 区块储存
  • 檔案式的存储
  • 物件式的存储
  • 其他储存架构

第九章全球配备人工智慧（AI）的储存市场：按最终用户分类

  • 公司
    • 媒体和娱乐
    • BFSI
    • 卫生保健
    • 零售
    • 消费品
    • 製造业
    • 其他公司
  • 政府机关
  • 电信业者
  • 云端服务供应商
  • 其他最终用户

第十章全球配备人工智慧（AI）的储存市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十一章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司简介

  • 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.