封面
市场调查报告书
商品编码
1668734

2025 年全球 AI 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 200 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年人工智慧储存的市场规模将呈指数级增长。到 2029 年,这一数字将成长至 1,037.2 亿美元,年复合成长率(CAGR)为 27.3%。预测期内的成长可归因于资料主导的决策、日益增加的资料隐私法规、自主储存管理、量子运算的影响以及持续学习储存系统等。预测期内的主要趋势包括神经网路技术进步、资料生命週期管理中的人工智慧、预测性储存维护的人工智慧、人工智慧优化的储存硬体、人工智慧驱动的灾难復原和绿色人工智慧储存解决方案。

预计未来几年资料中心的兴起将推动人工智慧储存市场的成长。资料中心是透过先进的网路、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。人工智慧储存系统使用机器学习演算法和预测分析来分析这些资料中心内的大量即时资料。此功能使资料中心营运商能够识别模式并做出明智的决策,以最佳化资源分配、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月发布的资料,目前正在建设的资料中心容量达到创纪录的323.9MW,其中88.4%已经预租。此前,去年达拉斯的租赁活动成长了 850%,2022 年第一季至 2023 年第一季季的总库存年增了 17%。这样,资料中心数量的增加正在推动人工智慧储存市场的成长。

预计未来几年云端基础的应用程式的日益普及将推动人工智慧储存市场的成长。云端采用是指公司利用云端技术来增强业务营运的策略转变。这可能意味着将整个业务转移到云端或只是利用云端基础的工具来提高效率。人工智慧储存在云端应用中发挥关键作用,它透过优化效能、降低成本并提供满足不同行业和应用的特定需求的先进储存解决方案。例如,2023年12月,总部位于比利时的欧盟(EU)行政机构欧盟委员会(EC)报告称,2023年欧盟云端基础的解决方案的采用率增长了4.2个百分点,45.2%的公司获得了云端运算服务,与2021年相比有显着增长。因此,云端基础的应用程式的日益普及正在推动人工智慧储存市场的成长。

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 4 章 市场:宏观经济情景,包括利率、通膨、地缘政治、新冠疫情以及復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧储存 PESTEL 分析(政治、社会、技术、环境、法律、驱动因素、限制因素)
  • 最终用途产业分析
  • 全球人工智慧储存市场:成长率分析
  • 全球人工智慧储存市场表现:规模与成长,2019 年至 2024 年
  • 全球人工智慧储存市场预测:规模与成长,2024-2029 年,2034 年预测
  • 全球人工智慧储存总可寻址市场 (TAM)

第六章 市场细分

  • 全球 AI 储存市场类型、效能及预测(2019-2024 年、2024-2029 年预测、2034 年预测)
  • 软体
  • 硬体
  • 全球 AI 储存市场(按储存系统、效能和预测)2019-2024 年、2024-2029 年、2034 年
  • 直接附加存储
  • 网路附加储存
  • 储存区域网路
  • 全球 AI 储存市场(按储存媒体、效能和预测)2019-2024 年、2024-2029 年、2034 年
  • 硬碟机 (HDD)
  • 固态硬碟 (SSD)
  • 全球 AI 储存市场(按储存架构、效能和预测)2019-2024 年、2024-2029 年、2034 年
  • 物件式的存储
  • 区块储存
  • 全球人工智慧储存市场:按最终用户、效能和预测,2019-2024 年、2024-2029 年、2034 年
  • 企业
  • 政府
  • 云端服务供应商
  • 电信业者
  • 其他最终用户
  • 全球人工智慧储存市场,软体细分,按类型、效能和预测,2019-2024 年、2024-2029 年、2034 年
  • AI储存管理软体
  • 资料分析软体
  • 人工智慧驱动的备份和復原解决方案
  • 全球人工智慧储存市场,硬体细分,按类型、效能和预测,2019-2024 年、2024-2029 年、2034 年
  • 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

  • 全球人工智慧储存市场:按地区、绩效及预测,2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧储存市场:按国家、绩效和预测,2019-2024 年、2024-2029 年、2034 年

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 17 章 德国市场

第 18 章 法国市场

第 19 章:义大利市场

第 20 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 30 章竞争格局与公司概况

  • 人工智慧储存市场:竞争格局
  • 人工智慧储存市场:公司简介
    • 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 其他大型创新企业

  • 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表板

第33章 重大併购

第 34 章 近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029 年人工智慧驱动的储存市场:提供新机会的国家
  • 2029 年人工智慧储存市场:细分市场将带来新机会
  • 2029 年人工智慧储存市场:成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第 36 章 附录

简介目录
Product Code: r24642

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.

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 $39.5 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 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? 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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.
  • 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 and Covid And Recovery on the Market

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