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市场调查报告书
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1843640

2025年全球人工智慧驱动储存市场报告

AI-Powered Storage Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，人工智慧驱动的储存市场发展迅速，预计将从2024年的318.8亿美元成长到2025年的394.9亿美元，复合年增长率达23.9%。这段历史性成长时期主要归功于云端运算的兴起、资料复杂性的增加、资料安全问题的日益突出、对即时分析的需求以及物联网生态系统的发展。

预计未来几年，人工智慧驱动的储存市场将呈指数级成长，到2029年市场规模将达到1,037.2亿美元，年复合成长率（CAGR）高达27.3%。预测期内的成长可归因于资料主导的决策、日益严格的资料隐私法规、自主储存管理、量子运算的影响、持续学习的储存系统。预测期内的关键趋势包括神经网路技术的进步、人工智慧在资料生命週期管理中的应用、人工智慧在预测性储存维护中的应用、人工智慧优化的储存硬体、人工智慧驱动的灾难復原以及绿色人工智慧储存解决方案。

人工智慧驱动的储存是指利用人工智慧技术来提升储存基础设备的效率、效能和管理能力的储存系统。这些系统运用人工智慧演算法的强大功能，智慧分析数位资料，进而改善整体储存操作。其目标是帮助企业快速、聪明地分析数据，并获得即时洞察。

人工智慧储存的主要产品包括软体和硬体。软体是一系列脚本、指令和资料的集合，旨在执行特定操作，在其中扮演关键角色。在人工智慧储存领域，软体有助于减少错误，提高资料储存的准确性和精确度。各种储存系统，例如直连储存 (DAS)、网路附加储存 (NAS) 和储存区域网路)，都属于人工智慧储存的范畴。这些系统使用硬碟 (HDD) 和固态硬碟 (SSD) 等储存介质，并采用檔案储存、物件储存和区块储存等各种储存架构。人工智慧储存的应用领域十分广泛，涵盖企业、政府机构、云端服务供应商、电信业者和其他终端用户等各个产业。

美国在2025年春季突然提高关税及其引发的贸易摩擦，对资讯科技产业，特别是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税上涨，推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司，面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

这份人工智慧驱动储存市场研究报告是商业研究公司最新发布的系列报告之一，提供人工智慧驱动储存市场的统计数据，例如全球市场规模、区域份额、竞争对手及其市场份额、详细的市场细分、市场趋势以及人工智慧驱动储存产业的商业机会。这份人工智慧驱动储存市场研究报告全面概​​述了该行业所需的一切信息，并对该行业的现状和未来发展趋势进行了深入分析。

未来五年27.3%的成长率预测较我们先前的预测略微下调了0.1%。这一下调主要归因于美国与其他国家之间的关税影响。这可能会直接影响美国，阻碍其从韩国和台湾进口高性能储存硬体组件，延缓资料中心扩张，并增加高科技公司的营运成本。此外，由于相互关税措施以及贸易紧张局势和限制加剧对全球经济和贸易造成的负面影响，这种影响可能更为广泛。

资料中心的激增预计将推动人工智慧驱动型储存市场的成长。资料中心是利用先进的网路、运算和储存基础设施提供应用程式和资料共用存取的设施。人工智慧驱动型储存系统利用机器学习演算法和预测分析来分析资料中心内的大量即时数据。这种能力使资料中心营运商能够识别模式并做出明智的决策，从而优化资源分配、容量规划和工作负载管理。例如，根据美国商业房地产服务和投资公司世邦魏理仕集团（CBRE Group, Inc.）2023年7月发布的数据，目前正在建造的数据中心容量达到创纪录的323.9兆瓦，其中88.4%已被预租。此前，达拉斯的租赁活动去年成长了850%，2022年第一季至2023年第一季的总库存年增17%。因此，资料中心数量的不断增长正在推动人工智慧驱动型储存市场的成长。

预计未来几年，云端基础应用的日益普及将推动人工智慧储存市场的成长。云端应用是指企业策略性地利用云端技术来提升业务营运。这可能包括将整个业务迁移到云端，或只是利用云端基础工具来提高效率。人工智慧储存透过优化效能、降低成本以及提供满足各行业和应用特定需求的先进储存解决方案，在云端应用过程中发挥关键作用。例如，总部位于比利时的欧盟执行机构－欧盟委员会（EC）在2023年12月发布报告称，欧盟云端基础解决方案的采用率将在2023年增长4.2个百分点，届时将有45.2%的企业采用云端运算服务，与2021年相比显着成长。因此，云端基础应用的日益普及正在推动人工智慧储存市场的成长。

在产业领导者寻求保持竞争力的主导下，人工智慧储存市场正经历着向产品创新方向的显着转变。华为技术有限公司于2023年10月发表的OceanStor A310便就是一个显着的例子。这是一款专为大规模人工智慧模式时代量身打造的新型人工智慧储存模式。该系统旨在满足工业模型训练、基础模型训练以及分段场景模型对最优储存容量日益增长的需求。 OceanStor A310是一款深度学习资料湖储存解决方案，具备无限横向扩展能力和高效能，能够支援大规模模型场景和产业基础模型中常见的各种工作负载。 OceanStor A310支援对人工智慧流程（包括资料收集、预处理、训练和推理）的海量资料储存进行端到端管理，并具备强大的资料分析能力，可与巨量资料和高效能运算（HPC）框架相容。其优势在于能够分析来自类似来源的数据，并可与巨量资料和HPC环境无缝整合。

为了追求竞争优势，主要企业正致力于采用最尖端科技，尤其是高效能运算 (HPC) 和利用机器学习演算法的先进解决方案。 HPC 以其强大的运算能力而闻名，能够显着加速人工智慧演算法的训练过程，特别是基于机器学习和深度学习的演算法，从而缩短开发和改进人工智慧模型所需的时间。此外，将机器学习演算法整合到人工智慧驱动的储存解决方案中，可优化储存效能并提高成本效益。例如，英伟达公司于 2023 年 3 月发布了人工智慧超级运算服务 DGX Cloud。该服务为企业提供训练高级模型（包括生成式人工智慧应用）所需的硬体和软体元件的即时存取。该服务整合了高效能运算 (HPC) 和机器学习演算法等关键Oracle，同时在提升储存效能的同时最大限度地降低成本。透过与 Oracle 云端基础架构 (OCI) 合作，英伟达旨在向领先的云端服务供应商提供其 DGX 云端基础架构。 OCI 超级丛集将扩展为包含超过 32,000 个 GPU、裸机运算和专为此目的调整的 RDMA 网路的超级集群，以及高效能小型资料库和区块储存。

2023年6月，总部位于美国的混合云优化平台Virtana Corp.收购了OpsCruise Inc.，具体金额未揭露。透过此次收购，Virtana旨在整合领先的云端和Kubernetes可观测性工具，从而增强其混合基础设施管理能力，提升IT维运团队的效能监控和成本效益。 OpsCruise Inc.是一家总部位于美国的云端应用效能支援公司，提供基于人工智慧的云端储存解决方案。

人工智慧驱动的储存市场由提供储存基础设备现代化、超级运算稳定性、资料保护、资料管理和资料储存等服务的营业单位所获得的收入所构成。市场价值还包括服务供应商销售的或包含在其服务产品中的相关商品的价值。人工智慧驱动的储存市场还包括软碟、光碟、CD、 影音光碟和随身碟的销售。该市场的价值为“出厂价”，即商品製造商或创造者向其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接向最终客户销售的商品价值。该市场中的商品价值还包括商品创造者提供的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧驱动型储存：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球人工智慧赋能储存市场：成长率分析
  • 全球人工智慧驱动储存市场表现：规模与成长，2019-2024年
  • 全球人工智慧赋能储存市场预测：规模与成长，2024-2029年，2034年预测
  • 全球人工智慧驱动储存：潜在市场规模 (TAM)

第六章 市场细分

  • 全球人工智慧赋能储存市场：按类型、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 软体
  • 硬体
  • 全球人工智慧赋能储存市场：依储存系统划分，实际结果与预测，2019-2024年、2024-2029年预测、2034年预测
  • 直挂式储存
  • 网路附加储存
  • 储存区域网路
  • 全球人工智慧赋能储存市场：依储存媒体、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 硬碟机（HDD）
  • 固态硬碟（SSD）
  • 全球人工智慧赋能储存市场：按储存架构、效能和预测划分，2019-2024 年、2024-2029 年预测、2034 年预测
  • 文件和物件式存储
  • 区块储存
  • 全球人工智慧赋能储存市场：依最终用户划分，实际结果与预测，2019-2024年、2024-2029年预测、2034年预测
  • 公司
  • 政府机构
  • 云端服务供应商
  • 电信业者
  • 其他最终用户
  • 全球人工智慧赋能储存市场：细分市场、软体（按类型）、效能及预测，2019-2024年、2024-2029年预测、2034年预测
  • AI储存管理软体
  • 数据分析软体
  • 人工智慧驱动的备份和復原解决方案
  • 全球人工智慧赋能储存市场：细分市场、硬体（按类型）、效能及预测，2019-2024年、2024-2029年预测、2034年预测
  • AI优化储存设备
  • 混合式储存解决方案
  • 高效能储存系统

第七章 区域和国家分析

  • 全球人工智慧赋能储存市场：按地区、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 全球人工智慧赋能储存市场：按国家、效能和预测划分，2019-2024 年、2024-2029 年预测、2034 年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 人工智慧驱动的储存市场：竞争格局
  • 人工智慧驱动的储存市场：公司概况
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • 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32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧驱动储存市场：提供新机会的国家
  • 2029年人工智慧驱动储存市场：提供新机会的细分市场
  • 2029年人工智慧驱动储存市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r24642u

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 $31.88 billion in 2024 to $39.49 billion in 2025 at a compound annual growth rate (CAGR) of 23.9%. The growth in the historic period can be attributed to rise of cloud computing, increasing complexity of data, data security concerns, demand for real-time analytics, growing IoT ecosystem.

The ai-powered storage market size is expected to see exponential growth in the next few years. It will grow to $103.72 billion in 2029 at a compound annual growth rate (CAGR) of 27.3%. The growth in the forecast period can be attributed to data-driven decision-making, increasing data privacy regulations, autonomous storage management, quantum computing impact, continuous learning storage systems. Major trends in the forecast period include technological advancements in neural networks, AI in data lifecycle management, AI for predictive storage maintenance, AI-optimized storage hardware, AI-powered disaster recovery, green AI storage solutions.

The forecast of 27.3% growth over the next five years reflects a slight reduction of 0.1% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by disrupting imports of high-performance storage hardware components from South Korea and Taiwan, causing delays in data center expansions and increased operational costs for tech firms. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

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.

The increasing adoption of cloud-based applications is anticipated to drive the growth of the AI-powered storage market in the coming years. Cloud adoption refers to the strategic transition by organizations to utilize cloud technologies to enhance their business operations. This may involve migrating the entire business to the cloud or simply leveraging cloud-based tools to improve efficiencies. AI-powered storage plays a crucial role in cloud adoption by providing advanced storage solutions that optimize performance, reduce costs, and cater to the specific needs of various industries and applications. For instance, in December 2023, the European Commission (EC), the executive branch of the European Union (EU) based in Belgium, reported that the adoption of cloud-based solutions in the EU increased by 4.2 percentage points in 2023, with 45.2% of enterprises acquiring cloud computing services, marking a significant rise compared to 2021. Therefore, the growth in the adoption of cloud-based applications is fueling the growth of the AI-powered storage market.

The AI-powered storage market is witnessing a significant trend towards product innovation, spearheaded by major industry players striving to maintain their competitive edge. A prominent example is Huawei Technologies Co. Ltd.'s October 2023 launch of the OceanStor A310, a novel AI storage model tailored for the era of large AI models. This system caters to the burgeoning need for optimal storage capacity in training industry models, basic model training, and segmented scenario models. The OceanStor A310 serves as a deep learning data lake storage solution with limitless horizontal scalability and high-performance capabilities for diverse workloads prevalent in large model scenarios and basic models across industries. Facilitating end-to-end management of extensive data storage for AI processes such as data collection, pre-processing, training, and inference, the OceanStor A310 possesses robust data analysis capabilities compatible with big data and high-performance computing (HPC) frameworks. Its prowess lies in analyzing data from similar sources while aligning with big data and HPC environments.

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 include 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 2024. 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, 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, 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 Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on 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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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, competitive landscape, market shares, 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.
  • 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 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.

  • 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.
  • 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 trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

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; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; 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: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI-Powered Storage Market Characteristics

3. AI-Powered Storage Market Trends And Strategies

4. AI-Powered Storage Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global AI-Powered Storage Growth Analysis And Strategic Analysis Framework

  • 5.1. Global AI-Powered Storage PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global AI-Powered Storage Market Growth Rate Analysis
  • 5.4. Global AI-Powered Storage Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global AI-Powered Storage Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global AI-Powered Storage Total Addressable Market (TAM)

6. AI-Powered Storage Market Segmentation

  • 6.1. Global AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • 6.2. Global AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Direct-Attached Storage
  • Network-Attached Storage
  • Storage Area Network
  • 6.3. Global AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hard Disk Drive (HDD)
  • Solid State Drive (SSD)
  • 6.4. Global AI-Powered Storage Market, Segmentation By Storage Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • File And Object-Based Storage
  • Block Storage
  • 6.5. Global AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Enterprises
  • Government Bodies
  • Cloud Service Providers
  • Telecom Companies
  • Other End-users
  • 6.6. Global AI-Powered Storage Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Storage Management Software
  • Data Analytics Software
  • AI-Driven Backup And Recovery Solutions
  • 6.7. Global AI-Powered Storage Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI-Optimized Storage Devices
  • Hybrid Storage Solutions
  • High-Performance Storage Systems

7. AI-Powered Storage Market Regional And Country Analysis

  • 7.1. Global AI-Powered Storage Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI-Powered Storage Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI-Powered Storage Market

  • 8.1. 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
  • 8.2. Asia-Pacific AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI-Powered Storage Market

  • 9.1. China AI-Powered Storage Market Overview
  • 9.2. China AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI-Powered Storage Market

  • 10.1. India AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI-Powered Storage Market

  • 11.1. Japan AI-Powered Storage Market Overview
  • 11.2. Japan AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI-Powered Storage Market

  • 12.1. Australia AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI-Powered Storage Market

  • 13.1. Indonesia AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI-Powered Storage Market

  • 14.1. South Korea AI-Powered Storage Market Overview
  • 14.2. South Korea AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI-Powered Storage Market

  • 15.1. Western Europe AI-Powered Storage Market Overview
  • 15.2. Western Europe AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI-Powered Storage Market

  • 16.1. UK AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI-Powered Storage Market

  • 17.1. Germany AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI-Powered Storage Market

  • 18.1. France AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI-Powered Storage Market

  • 19.1. Italy AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI-Powered Storage Market

  • 20.1. Spain AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI-Powered Storage Market

  • 21.1. Eastern Europe AI-Powered Storage Market Overview
  • 21.2. Eastern Europe AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI-Powered Storage Market

  • 22.1. Russia AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI-Powered Storage Market

  • 23.1. North America AI-Powered Storage Market Overview
  • 23.2. North America AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI-Powered Storage Market

  • 24.1. USA AI-Powered Storage Market Overview
  • 24.2. USA AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI-Powered Storage Market

  • 25.1. Canada AI-Powered Storage Market Overview
  • 25.2. Canada AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI-Powered Storage Market

  • 26.1. South America AI-Powered Storage Market Overview
  • 26.2. South America AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI-Powered Storage Market

  • 27.1. Brazil AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI-Powered Storage Market

  • 28.1. Middle East AI-Powered Storage Market Overview
  • 28.2. Middle East AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI-Powered Storage Market

  • 29.1. Africa AI-Powered Storage Market Overview
  • 29.2. Africa AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 30.1. AI-Powered Storage Market Competitive Landscape
  • 30.2. AI-Powered Storage Market Company Profiles
    • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

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

  • 31.1. Lenovo Group Limited
  • 31.2. Intel Corporation
  • 31.3. International Business Machines Corporation
  • 31.4. Cisco Systems Inc.
  • 31.5. Fujitsu Limited
  • 31.6. Micron Technology Inc.
  • 31.7. Hewlett Packard Enterprise Company (HPE)
  • 31.8. Nvidia Corporation
  • 31.9. Toshiba Corporation
  • 31.10. Pure Storage Inc.
  • 31.11. Veritas Technologies LLC
  • 31.12. Cohesity Inc.
  • 31.13. Infinidat
  • 31.14. Tintri Inc.
  • 31.15. CTERA Networks Ltd.

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

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

34. Recent Developments In The AI-Powered Storage Market

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

  • 35.1 AI-Powered Storage Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI-Powered Storage Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI-Powered Storage Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer