サンプル依頼リスト カート
  • English
  • Korean
  • Traditional Chinese
  • Simplified Chinese
デフォルト表紙
市場調査レポート
商品コード
1696219

AI搭載ストレージの世界市場 - 2025年～2032年

Global AI-Powered Storage Market - 2025-2032

出版日
ページ情報
英文 180 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.99円
AI搭載ストレージの世界市場 - 2025年～2032年
出版日: 2025年03月25日
発行: DataM Intelligence
ページ情報: 英文 180 Pages
納期: 即日から翌営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 目次
概要

AI搭載ストレージの世界市場は2024年に290億7,000万米ドルに達し、2032年には1,738億2,000万米ドルに達すると予測され、予測期間2025年のCAGRは25.05%で成長します。

AI搭載ストレージ市場は、IoT、クラウドコンピューティング、AIアプリケーションによる非構造化データの急激な増加により、高度なストレージソリューションが必要とされています。AIワークロードをサポートするためのリアルタイムデータ処理と低レイテンシストレージへのニーズの高まりが、高速でインテリジェントなストレージシステムへの需要を促進しています。エッジコンピューティングの台頭は、AI搭載ストレージがローカルでのデータ処理を可能にし、集中型クラウドインフラへの依存を減らすため、採用をさらに加速させます。

例えば、NVIDIAは2024年3月、BlueField DPUによって従来のCPUベースのストレージの1.6倍の性能を実現しながら消費電力を50%削減し、エンタープライズ・ストレージの性能を大幅に向上させるAIデータ・プラットフォームを発表しました。

市場力学

クラウドベースのソリューションの採用拡大

クラウドベースのソリューションの採用が拡大しており、スケーラブルでコスト効率に優れた効率的なデータ管理を実現することで、AI搭載ストレージ市場が加速しています。企業は、リアルタイムのデータ処理、自動化、予測分析にAI主導のクラウドストレージを活用するようになっています。70％の企業がクラウドベースのソリューションを採用し、事業運営を維持しています。

ハイブリッドおよびマルチクラウド環境の需要は、シームレスなデータ統合を実現するAI搭載ストレージのイノベーションを促進しています。例えば、2024年11月、Hitachi Vantaraはハイブリッド・クラウド・ストレージ・プラットフォームを拡張し、Virtual Storage Platform Oneの新しいソリューションを発表しました。最新の製品には、パブリッククラウドのレプリケーションを備えたオールQLCフラッシュストレージアレイや、AIやアナリティクスのワークロードを強化することを目的としたオブジェクトストレージアプライアンスが含まれます。

データ・セキュリティとプライバシーの懸念

膨大な量の機密データが処理・保存されるため、データセキュリティとプライバシーへの懸念がAI搭載ストレージ市場の大きな抑制要因となっています。HiddenLayer社の最新調査「AI Threat Landscape Report 2024」によると、AIのセキュリティ侵害は懸念が高まっており、77%の企業が過去1年間にAI関連の侵害を報告しています。同レポートは、AIを活用したシステムの脆弱性を浮き彫りにし、より強固なセキュリティ対策が急務であることを強調しています。

サイバー脅威、データ侵害、不正アクセスのリスクは、GDPRやCCPAなどの規制に対するコンプライアンスの課題を提起しています。強固な暗号化、アクセス制御、AI主導のセキュリティ対策を導入することの複雑さは、運用コストに拍車をかけています。このような課題が企業の躊躇を生み、AI搭載ストレージテクノロジーの普及を遅らせています。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • クラウドベースのソリューションの採用拡大
      • データ生成の急増
    • 抑制要因
      • データセキュリティとプライバシーに関する懸念
    • 機会
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • 技術進歩分析
  • サスティナビリティ分析
  • DMIの見解

第6章 提供別

  • ハードウェア
  • ソフトウェア

第7章 ストレージシステム別

  • 直接接続ストレージ（DAS）
  • ネットワーク接続ストレージ（NAS）
  • ストレージエリアネットワーク（SAN）

第8章 ストレージアーキテクチャ別

  • ファイルベースのストレージ
  • オブジェクトストレージ
  • ブロックストレージ

第9章 ストレージメディア別

  • 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）

第10章 エンドユーザー別

  • 企業
  • 政府機関
  • クラウドサービスプロバイダー
  • クラウドサービスプロバイダー
  • その他

第11章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • ロシア
    • その他欧州地域
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋地域
  • 中東・アフリカ

第12章 競合情勢

  • 競合シナリオ
  • 市況・シェア分析
  • M&A分析

第13章 企業プロファイル

  • William Grant & Sons Deutschland GmbH
    • 会社概要
    • 製品ポートフォリオと概要
    • 財務概要
    • 主な発展
  • St. Kilian Distillers
  • Enzianbrennerei Grassl GmbH & Co KG
  • Pernod Ricard
  • Suntory Global Spirits Inc.
  • Bacardi Limited
  • KLIPPENZIEGE GmbH
  • LUNEOIR GmbH
  • Schlitzer Korn-& Edelobstbrennerei GmbH
  • Rudiger Sasse

第14章 付録

目次
Product Code: ICT9357

Global AI-powered storage market reached US$ 29.07 billion in 2024 and is expected to reach US$ 173.82 billion by 2032, growing with a CAGR of 25.05% during the forecast period 2025-2032.

The AI-powered storage market is driven by the exponential growth of unstructured data from IoT, cloud computing and AI applications, necessitating advanced storage solutions. The increasing need for real-time data processing and low-latency storage to support AI workloads fuels the demand for high-speed, intelligent storage systems. The rise of edge computing further accelerates adoption, as AI-powered storage enables local data processing, reducing reliance on centralized cloud infrastructure.

To meet the growing demand for advanced storage systems, industry leaders are actively investing in this sector for instance, in March 2024, NVIDIA unveiled an AI data platform that significantly enhances enterprise storage performance, with BlueField DPUs delivering 1.6 times higher performance than traditional CPU-based storage while consuming 50% less power.

Market Dynamics

Growing Adoption of Cloud-Based Solutions

The growing adoption of cloud-based solutions is accelerating the AI-powered storage market by enabling scalable, cost-effective and efficient data management. Businesses are increasingly leveraging AI-driven cloud storage for real-time data processing, automation and predictive analytics. 70% of organizations are adopting cloud-based solutions to sustain business operations.

The demand for hybrid and multi-cloud environments is driving innovations in AI-powered storage for seamless data integration. For instance, in November 2024, Hitachi Vantara expanded its Hybrid Cloud Storage Platform with new solutions under its Virtual Storage Platform One. The latest offerings include an all-QLC flash storage array with public cloud replication and an object storage appliance, aimed at enhancing AI and analytics workloads.

Data Security & Privacy Concerns

Data security and privacy concerns are major restraints in the AI-powered storage market due to the vast amounts of sensitive data processed and stored. A recent study by HiddenLayer, AI Threat Landscape Report 2024, reveals that AI security breaches are a growing concern, with 77% of businesses reporting an AI-related breach in the past year. The report highlights vulnerabilities in AI-powered systems, emphasizing the urgent need for stronger security measures.

The risk of cyber threats, data breaches and unauthorized access raises compliance challenges with regulations like GDPR and CCPA. The complexity of implementing robust encryption, access controls and AI-driven security measures adds to operational costs. These challenges contribute to hesitation among enterprises, slowing the widespread adoption of AI-powered storage technologies.

Segment Analysis

The global AI-powered storage market is segmented based on offering, storage system, storage architecture, storage medium, end-user and region.

HDDs Dominate a Substantial Share Driven by Its High Storage Capacity and Scalable Infrastructure for Managing Large-Scale Data Operations

Hard Disk Drives (HDDs) hold a significant share in the global AI-powered storage market due to their cost-effectiveness, high storage capacity and scalability. AI applications generate vast amounts of data, making HDDs a preferred choice for enterprises needing economical bulk storage. Their ability to support large-scale data centers and cloud storage solutions further strengthens their market presence.

Companies are responding by developing high-capacity drives, enhancing data density, optimizing energy efficiency and integrating AI-driven predictive analytics for reliability. For instance, in February 2024, Seagate Technology unveiled the SkyHawk AI 24TB HDD, designed for video and imaging applications (VIA) and AI-enabled enterprise NVRs. The new drive enhances AI-powered surveillance and data storage capabilities. This launch marks a strategic move to meet growing mass data demands in edge security.

Geographical Penetration

North America's Advanced AI Adoption, Strong Cloud Infrastructure and Major Tech Companies Drive Innovation.

Rapid adoption of AI, big data and cloud computing drives demand for intelligent storage solutions. The increasing volume of unstructured data in industries like healthcare, finance and retail fuels market growth. The widespread use of IoT and edge computing enhances the need for efficient, scalable storage solutions. The growing number of data centers and hyperscale cloud providers strengthens market dominance. Enterprises in the U.S. and Canada prioritize AI-driven analytics, automation and cybersecurity, accelerating adoption.

Moreover, the increasing investments in AI-enhanced energy storage solutions, are critical for data centers and crypto mining operations are driving the market. In January 2025, SES AI Corporation signed an MOU with AISPEX to provide up to 100 MWh of AI-enhanced battery energy storage solutions, targeting a purchase order pipeline of up to $45 million. The partnership aims to extend battery life and enhance safety using SES's AI for Safety Battery Management System. The first deployment, set for 2025, includes a 30 MWh project worth up to $13 million at a crypto mining site in Texas, completed in two phases.

Sustainable Analysis

AI-driven storage solutions enhance data management by optimizing retrieval, categorization and predictive analytics. Innovations like NVMe, edge AI and quantum storage improve speed and processing power. Machine learning algorithms enhance data security, reducing risks of breaches and failures. Cloud-based AI storage is expanding, offering seamless integration and real-time insights.

In December 2024, Seagate announced to launch of its first high-capacity hard drive utilizing heat-assisted magnetic recording (HAMR) technology, offering up to 32TB of storage. This advancement is expected to meet the growing data storage demands driven by AI applications.

Competitive Landscape

The AI-powered storage market is highly competitive, driven by advancements in AI-driven data management, automation and predictive analytics. The major players in the market include Dell Inc., IBM, Pure Storage, Inc., NetApp, Seagate Technology LLC, Western Digital Corporation, NVIDIA Corporation, Micron Technology, Wiwynn Corporation and others.

Key Developments

  • In March 2025, Huawei launched AI-ready data storage to help carriers accelerate their AI transformation. Huawei aims to support carriers in monetizing AI-driven applications like smart homes and digital factories.
  • In May 2024, NetApp launched its new AFF A-Series unified data storage, designed for AI-era workloads like GenAI, VMware and enterprise databases. The intelligent data infrastructure simplifies operations at scale and enhances efficiency. The company also expanded its portfolio to support customers in leveraging data for innovation.
  • In January 2024, Wasabi Technologies announced AI-powered intelligent storage for the media and entertainment industry with the acquisition of Curio AI from GrayMeta. The deal includes Curio's IP and team, with GrayMeta CEO Aaron Edell joining Wasabi as SVP of AI and Machine Learning.

Why Choose DataM?

  • Data-Driven Insights: Dive into detailed analyses with granular insights such as pricing, market shares and value chain evaluations, enriched by interviews with industry leaders and disruptors.
  • Post-Purchase Support and Expert Analyst Consultations: As a valued client, gain direct access to our expert analysts for personalized advice and strategic guidance, tailored to your specific needs and challenges.
  • White Papers and Case Studies: Benefit quarterly from our in-depth studies related to your purchased titles, tailored to refine your operational and marketing strategies for maximum impact.
  • Annual Updates on Purchased Reports: As an existing customer, enjoy the privilege of annual updates to your reports, ensuring you stay abreast of the latest market insights and technological advancements. Terms and conditions apply.
  • Specialized Focus on Emerging Markets: DataM differentiates itself by delivering in-depth, specialized insights specifically for emerging markets, rather than offering generalized geographic overviews. This approach equips our clients with a nuanced understanding and actionable intelligence that are essential for navigating and succeeding in high-growth regions.
  • Value of DataM Reports: Our reports offer specialized insights tailored to the latest trends and specific business inquiries. This personalized approach provides a deeper, strategic perspective, ensuring you receive the precise information necessary to make informed decisions. These insights complement and go beyond what is typically available in generic databases.

Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Offering
  • 3.2. Snippet by Storage System
  • 3.3. Snippet by Storage Architecture
  • 3.4. Snippet by Storage Medium
  • 3.5. Snippet by End-User
  • 3.6. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Growing Adoption of Cloud-Based Solutions
      • 4.1.1.2. Surging Data Generation
    • 4.1.2. Restraints
      • 4.1.2.1. Data Security & Privacy Concerns
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Technological Advancements Analysis
  • 5.6. Sustainability Analysis
  • 5.7. DMI Opinion

6. By Offering

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 6.1.2. Market Attractiveness Index, By Offering
  • 6.2. Hardware*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Software

7. By Storage System

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage System
    • 7.1.2. Market Attractiveness Index, By Storage System
  • 7.2. Direct-attached Storage (DAS)*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Network-attached Storage (NAS)
  • 7.4. Storage Area Network (SAN)

8. By Storage Architecture

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Architecture
    • 8.1.2. Market Attractiveness Index, By Storage Architecture
  • 8.2. File Based Storage*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Object Storage
  • 8.4. Block Storage

9. By Storage Medium

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Medium
    • 9.1.2. Market Attractiveness Index, By Storage Medium
  • 9.2. Hard Disk Drive (HDD)*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Solid State Drive (SSD)

10. By End-User

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.1.2. Market Attractiveness Index, By End-User
  • 10.2. Enterprises*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Government Bodies
  • 10.4. Cloud Service Providers
  • 10.5. Cloud Service Providers
  • 10.6. Others

11. By Region

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2. Market Attractiveness Index, By Region
  • 11.2. North America
    • 11.2.1. Introduction
    • 11.2.2. Key Region-Specific Dynamics
    • 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage System
    • 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Architecture
    • 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Medium
    • 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.8.1. U.S.
      • 11.2.8.2. Canada
      • 11.2.8.3. Mexico
  • 11.3. Europe
    • 11.3.1. Introduction
    • 11.3.2. Key Region-Specific Dynamics
    • 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage System
    • 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Architecture
    • 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Medium
    • 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.8.1. Germany
      • 11.3.8.2. UK
      • 11.3.8.3. France
      • 11.3.8.4. Italy
      • 11.3.8.5. Russia
      • 11.3.8.6. Rest of Europe
  • 11.4. South America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage System
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Architecture
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Medium
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.8.1. Brazil
      • 11.4.8.2. Argentina
      • 11.4.8.3. Rest of South America
  • 11.5. Asia-Pacific
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage System
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Architecture
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Medium
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.8.1. China
      • 11.5.8.2. India
      • 11.5.8.3. Japan
      • 11.5.8.4. Australia
      • 11.5.8.5. Rest of Asia-Pacific
  • 11.6. Middle East and Africa
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage System
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Architecture
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Storage Medium
    • 11.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Competitive Landscape

  • 12.1. Competitive Scenario
  • 12.2. Market Positioning/Share Analysis
  • 12.3. Mergers and Acquisitions Analysis

13. Company Profiles

  • 13.1. William Grant & Sons Deutschland GmbH *
    • 13.1.1. Company Overview
    • 13.1.2. Product Portfolio and Description
    • 13.1.3. Financial Overview
    • 13.1.4. Key Developments
  • 13.2. St. Kilian Distillers
  • 13.3. Enzianbrennerei Grassl GmbH & Co KG
  • 13.4. Pernod Ricard
  • 13.5. Suntory Global Spirits Inc.
  • 13.6. Bacardi Limited
  • 13.7. KLIPPENZIEGE GmbH
  • 13.8. LUNEOIR GmbH
  • 13.9. Schlitzer Korn- & Edelobstbrennerei GmbH
  • 13.10. Rudiger Sasse

LIST NOT EXHAUSTIVE

14. Appendix

  • 14.1. About Us and Services
  • 14.2. Contact Us