AI搭載ストレージの世界市場レポート 2025年

AI搭載ストレージ市場規模は、今後数年間で飛躍的な成長が見込まれます。2029年の年間平均成長率（CAGR）は27.3％で、1,037億2,000万米ドルに成長します。予測期間の成長は、データ主導の意思決定、データプライバシー規制の強化、自律的ストレージ管理、量子コンピューティングの影響、継続学習ストレージシステムなどに起因すると考えられます。予測期間の主な動向には、ニューラルネットワークの技術的進歩、データライフサイクル管理におけるAI、予測ストレージメンテナンスのためのAI、AIに最適化されたストレージハードウェア、AIを活用したディザスタリカバリ、グリーンAIストレージソリューションなどがあります。

データセンターの増加は、今後のAI搭載ストレージ市場の成長を促進すると予測されています。データセンターは、高度なネットワーク、コンピューティング、ストレージのインフラを通じて、アプリケーションやデータへの共有アクセスを提供する施設です。AI搭載ストレージシステムは、機械学習アルゴリズムと予測分析を使用して、これらのデータセンター内の大量のリアルタイムデータを分析します。この機能により、データセンターのオペレータはパターンを特定し、リソース割り当て、キャパシティプランニング、ワークロード管理を最適化するための情報に基づいた意思決定を行うことができます。例えば、米国を拠点とする商業不動産サービス・投資会社CBRE Group, Inc.が2023年7月に発表したデータによると、現在、過去最高の323.9MWのデータセンター容量が建設中で、88.4%は既にプレリースされています。これは、昨年ダラスでリース活動が850％増加したことに続くもので、総在庫は2022年第1四半期から2023年第1四半期にかけて前年同期比で17％増加しました。このように、データセンター数の増加がAI搭載ストレージ市場の成長を後押ししています。

クラウドベースのアプリケーション採用の増加は、今後数年間のAI搭載ストレージ市場の成長を促進すると予測されています。クラウドの採用とは、企業がクラウド技術を活用して事業運営を強化する戦略的な移行を指します。これには、ビジネス全体をクラウドに移行する場合もあれば、単にクラウドベースのツールを活用して効率を向上させる場合もあります。AI搭載ストレージは、パフォーマンスを最適化し、コストを削減し、さまざまな業界やアプリケーションの特定のニーズに応える高度なストレージ・ソリューションを提供することで、クラウド導入において重要な役割を果たしています。例えば、2023年12月、ベルギーに本部を置く欧州連合（EU）の行政機関である欧州委員会（EC）は、EUにおけるクラウドベースのソリューションの採用率が2023年に4.2ポイント増加し、45.2％の企業がクラウドコンピューティングサービスを取得したと報告し、2021年と比較して大幅な増加を示しています。したがって、クラウドベースのアプリケーションの採用が増加していることが、AI搭載ストレージ市場の成長を促進しています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場：金利、インフレ、地政学、コロナ禍、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界AI搭載ストレージ PESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界のAI搭載ストレージ市場：成長率分析
• 世界のAI搭載ストレージ市場の実績：規模と成長, 2019-2024
• 世界のAI搭載ストレージ市場の予測：規模と成長, 2024-2029, 2034F
• 世界AI搭載ストレージ総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のAI搭載ストレージ市場：提供別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ソフトウェア
• ハードウェア
• 世界のAI搭載ストレージ市場ストレージシステム別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 直接接続ストレージ
• ネットワーク接続ストレージ
• ストレージエリアネットワーク
• 世界のAI搭載ストレージ市場ストレージメディア別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ハードディスクドライブ（HDD）
• ソリッドステートドライブ（SSD）
• 世界のAI搭載ストレージ市場ストレージアーキテクチャ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ファイルおよびオブジェクトベースのストレージ
• ブロックストレージ
• 世界のAI搭載ストレージ市場：エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 企業
• 政府機関
• クラウドサービスプロバイダー
• 通信会社
• その他のエンドユーザー
• 世界のAI搭載ストレージ市場、ソフトウェアのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• AIストレージ管理ソフトウェア
• データ分析ソフトウェア
• AI駆動型バックアップおよびリカバリソリューション
• 世界のAI搭載ストレージ市場、ハードウェアのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• AI最適化ストレージデバイス
• ハイブリッドストレージソリューション
• 高性能ストレージシステム

第7章 地域別・国別分析

• 世界のAI搭載ストレージ市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のAI搭載ストレージ市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• AI搭載ストレージ市場：競合情勢
• AI搭載ストレージ市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• AI搭載ストレージ市場2029：新たな機会を提供する国
• AI搭載ストレージ市場2029：新たな機会を提供するセグメント
• AI搭載ストレージ市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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