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市場調查報告書
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1843640

2025年全球人工智慧驅動儲存市場報告

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個工作天內

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簡介目錄

近年來，人工智慧驅動的儲存市場發展迅速，預計將從2024年的318.8億美元成長到2025年的394.9億美元，複合年成長率達23.9%。這段歷史性成長時期主要歸功於雲端運算的興起、資料複雜性的增加、資料安全問題的日益突出、對即時分析的需求以及物聯網生態系統的發展。

預計未來幾年，人工智慧驅動的儲存市場將呈指數級成長，到2029年市場規模將達到1,037.2億美元，年複合成長率（CAGR）高達27.3%。預測期內的成長可歸因於資料主導的決策、日益嚴格的資料隱私法規、自主儲存管理、量子運算的影響、持續學習的儲存系統。預測期內的關鍵趨勢包括神經網路技術的進步、人工智慧在資料生命週期管理中的應用、人工智慧在預測性儲存維護中的應用、人工智慧最佳化的儲存硬體、人工智慧驅動的災難復原以及綠色人工智慧儲存解決方案。

人工智慧驅動的儲存是指利用人工智慧技術來提升儲存基礎設備的效率、效能和管理能力的儲存系統。這些系統運用人工智慧演算法的強大功能，智慧分析數位資料，進而改善整體儲存操作。其目標是幫助企業快速、聰明地分析數據，並獲得即時洞察。

人工智慧儲存的主要產品包括軟體和硬體。軟體是一系列腳本、指令和資料的集合，旨在執行特定操作，在其中扮演關鍵角色。在人工智慧儲存領域，軟體有助於減少錯誤，提高資料儲存的準確性和精確度。各種儲存系統，例如直連儲存 (DAS)、網路附加儲存 (NAS) 和儲存區域網路)，都屬於人工智慧儲存的範疇。這些系統使用硬碟 (HDD) 和固態硬碟 (SSD) 等儲存介質，並採用檔案儲存、物件儲存和區塊儲存等各種儲存架構。人工智慧儲存的應用領域十分廣泛，涵蓋企業、政府機構、雲端服務供應商、電信業者和其他終端用戶等各個產業。

美國在2025年春季突然提高關稅及其引發的貿易摩擦，對資訊科技產業，特別是硬體製造、資料基礎設施和軟體部署領域，產生了重大影響。進口半導體、電路基板和網路設備的關稅上漲，推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司，面臨更長的前置作業時間和價格壓力。同時，對專用軟體徵收的關稅以及主要國際市場的報復性措施，擾亂了全球IT供應鏈，並降低了海外對美國製造技術的需求。為了應對這些挑戰，該產業正在加大對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化技術來增強韌性，更有效地控制成本。

這份人工智慧驅動儲存市場研究報告是商業研究公司最新發布的系列報告之一，提供人工智慧驅動儲存市場的統計數據，例如全球市場規模、區域佔有率、競爭對手及其市場佔有率、詳細的市場細分、市場趨勢以及人工智慧驅動儲存產業的商業機會。這份人工智慧驅動儲存市場研究報告全面概​​述了該行業所需的一切資訊，並對該行業的現狀和未來發展趨勢進行了深入分析。

未來五年27.3%的成長率預測較我們先前的預測略微下調了0.1%。這一下調主要歸因於美國與其他國家之間的關稅影響。這可能會直接影響美國，阻礙其從韓國和台灣進口高性能儲存硬體組件，延緩資料中心擴張，並增加高科技公司的營運成本。此外，由於相互關稅措施以及貿易緊張局勢和限制加劇對全球經濟和貿易造成的負面影響，這種影響可能更為廣泛。

資料中心的激增預計將推動人工智慧驅動型儲存市場的成長。資料中心是利用先進的網路、運算和儲存基礎設施提供應用程式和資料共用存取的設施。人工智慧驅動型儲存系統利用機器學習演算法和預測分析來分析資料中心內的大量即時數據。這種能力使資料中心營運商能夠識別模式並做出明智的決策，從而最佳化資源分配、容量規劃和工作負載管理。例如，根據美國商業房地產服務和投資公司世邦魏理仕集團（CBRE Group, Inc.）2023年7月發布的數據，目前正在建造的資料中心容量達到創紀錄的323.9兆瓦，其中88.4%已被預租。此前，達拉斯的租賃活動去年成長了850%，2022年第一季至2023年第一季的總庫存年增17%。因此，資料中心數量的不斷成長正在推動人工智慧驅動型儲存市場的成長。

預計未來幾年，雲端基礎應用的日益普及將推動人工智慧儲存市場的成長。雲端應用是指企業策略性地利用雲端技術來提升業務營運。這可能包括將整個業務遷移到雲端，或只是利用雲端基礎工具來提高效率。人工智慧儲存透過最佳化效能、降低成本以及提供滿足各行業和應用特定需求的先進儲存解決方案，在雲端應用過程中發揮關鍵作用。例如，總部位於比利時的歐盟執行機構－歐盟委員會（EC）在2023年12月發布報告稱，歐盟雲端基礎解決方案的採用率將在2023年成長4.2個百分點，屆時將有45.2%的企業採用雲端運算服務，與2021年相比顯著成長。因此，雲端基礎應用的日益普及正在推動人工智慧儲存市場的成長。

在產業領導者尋求保持競爭力的主導下，人工智慧儲存市場正經歷著向產品創新方向的顯著轉變。華為技術有限公司於2023年10月發表的OceanStor A310便就是一個顯著的例子。這是一款專為大規模人工智慧模式時代量身打造的新型人工智慧儲存模式。該系統旨在滿足工業模型訓練、基礎模型訓練以及分段場景模型對最優儲存容量日益成長的需求。 OceanStor A310是一款深度學習資料湖儲存解決方案，具備無限橫向擴展能力和高效能，能夠支援大規模模型場景和產業基礎模型中常見的各種工作負載。 OceanStor A310支援對人工智慧流程（包括資料收集、預處理、訓練和推理）的海量資料儲存進行端到端管理，並具備強大的資料分析能力，可與巨量資料和高效能運算（HPC）框架相容。其優勢在於能夠分析來自類似來源的數據，並可與巨量資料和HPC環境無縫整合。

為了追求競爭優勢，主要企業正致力於採用最尖端科技，尤其是高效能運算 (HPC) 和利用機器學習演算法的先進解決方案。 HPC 以其強大的運算能力而聞名，能夠顯著加速人工智慧演算法的訓練過程，特別是基於機器學習和深度學習的演算法，從而縮短開發和改進人工智慧模型所需的時間。此外，將機器學習演算法整合到人工智慧驅動的儲存解決方案中，可最佳化儲存效能並提高成本效益。例如，英偉達公司於 2023 年 3 月發布了人工智慧超級運算服務 DGX Cloud。該服務為企業提供訓練高級模型（包括生成式人工智慧應用）所需的硬體和軟體元件的即時存取。該服務整合了高效能運算 (HPC) 和機器學習演算法等關鍵Oracle，同時在提升儲存效能的同時最大限度地降低成本。透過與 Oracle 雲端基礎架構 (OCI) 合作，英偉達旨在向領先的雲端服務供應商提供其 DGX 雲端基礎架構。 OCI 超級叢集將擴展為包含超過 32,000 個 GPU、裸機運算和專為此目的調整的 RDMA 網路的超級集群，以及高效能小型資料庫和區塊儲存。

2023年6月，總部位於美國的混合雲最佳化平台Virtana Corp.收購了OpsCruise Inc.，具體金額未揭露。透過此次收購，Virtana旨在整合領先的雲端和Kubernetes可觀測性工具，從而增強其混合基礎設施管理能力，提升IT維運團隊的效能監控和成本效益。 OpsCruise Inc.是一家總部位於美國的雲端應用效能支援公司，提供基於人工智慧的雲端儲存解決方案。

人工智慧驅動的儲存市場由提供儲存基礎設備現代化、超級運算穩定性、資料保護、資料管理和資料儲存等服務的營業單位所獲得的收入所構成。市場價值還包括服務供應商銷售的或包含在其服務產品中的相關商品的價值。人工智慧驅動的儲存市場還包括軟碟、光碟、CD、 影音光碟和隨身碟的銷售。該市場的價值為“出廠價”，即商品製造商或創造者向其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接向最終客戶銷售的商品價值。該市場中的商品價值還包括商品創造者提供的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工智慧驅動型儲存：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球人工智慧賦能儲存市場：成長率分析
  • 全球人工智慧驅動儲存市場表現：規模與成長，2019-2024年
  • 全球人工智慧賦能儲存市場預測：規模與成長，2024-2029年，2034年預測
  • 全球人工智慧驅動儲存：潛在市場規模 (TAM)

第6章 市場細分

  • 全球人工智慧賦能儲存市場：按類型、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 軟體
  • 硬體
  • 全球人工智慧賦能儲存市場：依儲存系統分類，實際結果與預測，2019-2024年、2024-2029年預測、2034年預測
  • 直掛式儲存
  • 網路附加儲存
  • 儲存區域網路
  • 全球人工智慧賦能儲存市場：依儲存媒體、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 硬碟機（HDD）
  • 固態硬碟（SSD）
  • 全球人工智慧賦能儲存市場：按儲存架構、效能和預測分類，2019-2024 年、2024-2029 年預測、2034 年預測
  • 文件和物件式存儲
  • 區塊儲存
  • 全球人工智慧賦能儲存市場：依最終用戶分類，實際結果與預測，2019-2024年、2024-2029年預測、2034年預測
  • 公司
  • 政府機構
  • 雲端服務供應商
  • 電信業者
  • 其他最終用戶
  • 全球人工智慧賦能儲存市場：細分市場、軟體（按類型）、效能及預測，2019-2024年、2024-2029年預測、2034年預測
  • AI儲存管理軟體
  • 數據分析軟體
  • 人工智慧驅動的備份和復原解決方案
  • 全球人工智慧賦能儲存市場：細分市場、硬體（按類型）、效能及預測，2019-2024年、2024-2029年預測、2034年預測
  • AI最佳化儲存設備
  • 混合式儲存解決方案
  • 高效能儲存系統

第7章 區域和國家分析

  • 全球人工智慧賦能儲存市場：按地區、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 全球人工智慧賦能儲存市場：按國家、效能和預測分類，2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧驅動的儲存市場：競爭格局
  • 人工智慧驅動的儲存市場：公司概況
    • 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：其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年人工智慧驅動儲存市場：提供新機會的國家
  • 2029年人工智慧驅動儲存市場：提供新機會的細分市場
  • 2029年人工智慧驅動儲存市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
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