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市场调查报告书
商品编码
1427688

2024 年人工智慧驱动的储存全球市场报告

AI-Powered Storage Global Market Report 2024
出版日期: 按订单生产 | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

人工智慧驱动的储存市场规模预计在未来几年将快速成长。预计到 2028 年将以 25.4% 的复合年增长率 (CAGR) 增长至 803.6 亿美元。预测期间的预期成长可归因于资料主导决策的普及、资料隐私法规的影响日益增强、自主储存管理的实施、量子运算的影响以及持续学习储存系统的发展。预测期内预计的主要趋势包括神经网路的技术进步、人工智慧在资料生命週期管理中的整合、使用人工智慧进行预测性储存维护、利用人工智慧优化储存硬件，其中包括利用灾害復原的实施和绿色储存的出现。人工智慧储存解决方案。

资料中心的激增预计将在不久的将来成为人工智慧驱动的储存市场快速成长的驱动力。资料中心构成了这一成长的支柱，作为透过先进的网路、运算和储存基础设备基础设施提供对应用程式和资料的共用存取的设施。人工智慧驱动的储存解决方案利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。这种分析功能使资料中心营运商能够识别模式并做出明智的决策，以优化资源分配、容量规划和工作负载管理。例如，根据2021年2月韩国资料中心理事会（KDCC）的调查结果，到2020年终，主机代管资料中心IT负载总容量将达到430MW，占亚太地区总IT负载的11%。第一太平戴维斯韩国公司预测，2021年至2023年间，韩国商业资料中心的IT总合负载将增加700MW，占亚太地区总容量的15%。因此，资料中心数量的扩张是推动人工智慧储存市场的关键驱动力。

云端基础的应用程式采用的快速成长预计将显着推动人工智慧驱动的储存市场的扩张。云端采用涉及组织策略性地利用云端技术来增强业务运营。人工智慧驱动的储存在这一云端采用趋势中发挥关键作用，提供先进的储存解决方案，可以优化效能、降低成本并适应跨行业和应用程式的多样化需求。例如，欧盟统计局在 2021 年 12 月报告称，2021 年将有 41% 的欧盟企业采用云端运算，主要使用云端运算来託管电子邮件系统和储存电子文件。这比 2020 年增加了 5 个百分点。 2021年欧盟大型企业云端运算采用率为72%，较2020年提高7个百分点。相比之下，中型企业的采用率为 53%。因此，越来越多地采用云端基础的应用程式已成为推动人工智慧驱动的储存市场成长的关键催化剂。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球人工智慧储存市场的驱动和限制因素
    • 市场驱动力
    • 市场限制
  • 2018-2023年全球配备人工智慧的储存市场规模表现与成长
  • 全球人工智慧储存市场规模及成长预测，2023-2028、2033

第六章市场区隔

  • 全球人工智慧储存市场，按产品、效能和预测细分，2018-2023、2023-2028、2033
  • 软体
  • 硬体
  • 全球人工智慧驱动的储存市场，按储存系统细分、效能和预测，2018-2023、2023-2028、2033
  • 直接附加存储
  • 网路附加储存
  • 储存区域网路
  • 全球人工智慧驱动的储存市场，按储存媒体细分、效能和预测，2018-2023、2023-2028、2033
  • 硬碟机 (HDD)
  • 固态硬碟 (SSD)
  • 全球人工智慧驱动的储存市场，按储存架构细分，实际和预测，2018-2023、2023-2028、2033
  • 物件式的存储
  • 区块储存
  • 全球人工智慧储存市场，按最终用户细分，实际和预测，2018-2023、2023-2028、2033
  • 公司
  • 政府机关
  • 云端服务供应商
  • 电信业者
  • 其他最终用户

第 7 章 区域与国家分析

  • 全球人工智慧驱动的储存市场，按地区、效能和预测，2018-2023、2023-2028、2033
  • 全球人工智慧驱动的储存市场，按国家、效能和预测，2018-2023、2023-2028、2033

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14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

第三十章 竞争形势及公司概况

  • AI储存市场竞争形势
  • 人工智慧储存市场的公司概况
    • Google LLC
    • Samsung Electronics Co. Ltd.
    • Microsoft Corporation
    • Dell Technologies Inc.
    • Hitachi Ltd.

第31章 其他大型创新公司

  • 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章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章 未来前景与可能性分析

第36章附录

简介目录
Product Code: r13532

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 $25.99 billion in 2023 to $32.52 billion in 2024 at a compound annual growth rate (CAGR) of 25.1%. The growth observed in the historical period can be attributed to the ascendancy of cloud computing, the escalating complexity of data, heightened concerns surrounding data security, a surge in demand for real-time analytics, and the expanding Internet of Things (IoT) ecosystem.

The ai-powered storage market size is expected to see exponential growth in the next few years. It will grow to $80.36 billion in 2028 at a compound annual growth rate (CAGR) of 25.4%. The anticipated growth in the forecast period can be attributed to the proliferation of data-driven decision-making, the heightened impact of data privacy regulations, the implementation of autonomous storage management, the influence of quantum computing, and the evolution of continuous learning storage systems. Major trends expected in the forecast period encompass technological advancements in neural networks, the integration of AI in data lifecycle management, the utilization of AI for predictive storage maintenance, the optimization of storage hardware through AI, the implementation of AI-powered disaster recovery, and the emergence of green AI storage solutions.

The proliferation of data centers is anticipated to be a driving force behind the burgeoning expansion of the AI-powered storage market in the foreseeable future. Data centers, serving as facilities providing shared access to applications and data via an advanced network, computing, and storage infrastructure, form the backbone of this growth. AI-powered storage solutions analyze extensive real-time data within these data centers, utilizing machine learning algorithms and predictive analytics. This analytical capability empowers data center operators to discern patterns, enabling informed decisions for optimizing resource allocation, capacity planning, and workload management. For instance, findings from the Korea Data Center Council (KDCC) in February 2021 indicated that colocation data centers reached an overall capacity of 430MW in IT load by the close of 2020, constituting 11% of the total APAC IT load. Anticipated projections by Savills Korea suggest a growth of 700MW in total commercial data center IT load in Korea between 2021 and 2023, accounting for 15% of the overall Asia-Pacific capacity. Thus, the expanding number of data centers serves as a pivotal driver propelling the AI-powered storage market.

The upsurge in the adoption of cloud-based applications is anticipated to significantly propel the expansion of the AI-powered storage market. Cloud adoption involves organizations strategically leveraging cloud technologies to augment their business operations. AI-powered storage assumes a pivotal role in this cloud adoption trend, offering advanced storage solutions capable of optimizing performance, reducing costs, and adapting to the diverse needs across various industries and applications. For instance, Eurostat reported in December 2021 that 41% of EU enterprises embraced cloud computing in 2021, primarily utilizing it for hosting email systems and storing electronic files. This marked a 5-percentage point increase from 2020. Large enterprises in the EU demonstrated a 72% adoption rate of cloud computing in 2021, a 7-percentage point upsurge from 2020. Comparatively, medium-sized businesses showcased a 53% adoption rate in 2021, increasing from 46% in 2020. Hence, the escalating adoption of cloud-based applications stands as a significant catalyst propelling 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 2021, Hewlett Packard Enterprise Company, a prominent information technology company based in the United States, completed the acquisition of Determined AI for an undisclosed amount. This strategic move by Hewlett Packard Enterprise is geared towards integrating Determined AI's distinctive software solution, empowering machine learning (ML) engineers across various industries to seamlessly develop and train ML models. The goal is to enhance the speed and accuracy of insights derived from data. Determined AI, a US-based technology company specializing in machine learning, brings valuable expertise to Hewlett Packard Enterprise through its AI-based storage solutions.

Major companies operating in the ai-powered storage market report are 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 2023. 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 2024 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.

Reasons to Purchase

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  • Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
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  • Benchmark performance against key competitors.
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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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

  • 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
  • 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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global AI-Powered Storage Market Size and Growth

  • 5.1. Global AI-Powered Storage Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global AI-Powered Storage Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global AI-Powered Storage Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. AI-Powered Storage Market Segmentation

  • 6.1. Global AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Software
  • Hardware
  • 6.2. Global AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Direct-attached Storage
  • Network-attached Storage
  • Storage Area Network
  • 6.3. Global AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Hard Disk Drive (HDD)
  • Solid State Drive (SSD)
  • 6.4. Global AI-Powered Storage Market, Segmentation By Storage Architecture, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • File and Object-Based Storage
  • Block Storage
  • 6.5. Global AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Enterprises
  • Government Bodies
  • Cloud Service Providers
  • Telecom Companies
  • Other End-user

7. AI-Powered Storage Market Regional And Country Analysis

  • 7.1. Global AI-Powered Storage Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global AI-Powered Storage Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific AI-Powered Storage Market

  • 8.1. Asia-Pacific AI-Powered Storage Market Overview
  • Region Information, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India AI-Powered Storage Market

  • 10.1. India AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia AI-Powered Storage Market

  • 12.1. Australia AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia AI-Powered Storage Market

  • 13.1. Indonesia AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK AI-Powered Storage Market

  • 16.1. UK AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany AI-Powered Storage Market

  • 17.1. Germany AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France AI-Powered Storage Market

  • 18.1. France AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy AI-Powered Storage Market

  • 19.1. Italy AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain AI-Powered Storage Market

  • 20.1. Spain AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia AI-Powered Storage Market

  • 22.1. Russia AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil AI-Powered Storage Market

  • 27.1. Brazil AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Samsung Electronics Co. Ltd.
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Microsoft Corporation
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Dell Technologies Inc.
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Hitachi Ltd.
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

33. Global AI-Powered Storage Market Competitive Dashboard

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

35. AI-Powered Storage Market Future Outlook and Potential Analysis

  • 35.1 AI-Powered Storage Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 AI-Powered Storage Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 AI-Powered Storage Market In 2028 - 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