한글목차

세계의 AI 탑재 스토리지 시장은 2024년에 290억 7,000만 달러에 달하며, 2032년에는 1,738억 2,000만 달러에 달할 것으로 예측되며, 예측 기간인 2025년의 CAGR은 25.05%로 성장합니다.

AI 기반 스토리지 시장은 IoT, 클라우드 컴퓨팅, AI 용도으로 인한 비정형 데이터의 급격한 증가로 인해 고급 스토리지 솔루션이 요구되고 있으며, AI 워크로드를 지원하기 위한 실시간 데이터 처리 및 저지연 스토리지에 대한 수요가 증가하고 있습니다. AI 워크로드를 지원하기 위한 실시간 데이터 처리 및 저지연 스토리지에 대한 요구가 증가하면서 빠르고 지능적인 스토리지 시스템에 대한 수요가 증가하고 있습니다. 엣지 컴퓨팅의 부상으로 AI 기반 스토리지가 로컬에서 데이터를 처리하고 중앙 집중식 클라우드 인프라에 대한 의존도를 낮출 수 있게 됨에 따라 AI 기반 스토리지의 도입이 더욱 가속화될 것으로 예상됩니다.

예를 들어 엔비디아는 2024년 3월 블루필드 DPU를 통해 기존 CPU 기반 스토리지의 1.6배의 성능을 구현하면서도 전력 소비를 50% 절감해 기업 스토리지의 성능을 크게 향상시키는 AI 데이터 플랫폼을 발표했습니다.

시장 역학

클라우드 기반 솔루션 도입 확대

확장 가능하고 비용 효율적이며 효율적인 데이터 관리를 위해 클라우드 기반 솔루션의 채택이 확대되면서 AI 기반 스토리지 시장이 빠르게 성장하고 있습니다. 기업은 실시간 데이터 처리, 자동화, 예측 분석을 위해 AI 기반 클라우드 스토리지를 활용하고 있으며, 70%의 기업이 클라우드 기반 솔루션을 채택해 비즈니스 운영을 유지하고 있습니다.

하이브리드 및 멀티 클라우드 환경에 대한 수요는 원활한 데이터 통합을 위한 AI 기반 스토리지의 혁신을 촉진하고 있습니다. 예를 들어 2024년 11월, 히타치 밴타라는 하이브리드 클라우드 스토리지 플랫폼을 확장하여 가상 스토리지 플랫폼 원(Virtual Storage Platform One)의 새로운 솔루션을 발표했습니다. 최신 제품에는 퍼블릭 클라우드 복제 기능을 갖춘 올 QLC 플래시 스토리지 어레이와 AI 및 분석 워크로드를 강화하기 위한 오브젝트 스토리지 어플라이언스가 포함됩니다.

데이터 보안 및 프라이버시 문제

AI 기반 스토리지 시장은 방대한 양의 기밀 데이터가 처리 및 저장되는 만큼 데이터 보안 및 프라이버시 우려가 AI 기반 스토리지 시장의 주요 억제요인으로 작용하고 있습니다. AI 보안 침해에 대한 우려가 커지고 있으며, 77%의 기업이 지난 1년간 AI 관련 침해사고를 경험한 것으로 나타났습니다. 이 보고서는 AI를 활용한 시스템의 취약성을 강조하며, 보다 견고한 보안 대책이 시급하다는 점을 강조하고 있습니다.

사이버 위협, 데이터 유출 및 무단 액세스의 위험은 GDPR(EU 개인정보보호규정) 및 CCPA와 같은 규제에 대한 컴플라이언스 문제를 야기하고 있습니다. 강력한 암호화, 액세스 제어, AI 기반 보안 조치 도입의 복잡성은 운영 비용을 증가시키는 요인으로 작용하고 있습니다. 이러한 문제들로 인해 기업이 주저하고 있으며, AI 기반 스토리지 기술의 보급이 늦어지고 있습니다.

목차

제1장 조사 방법과 조사 범위

제2장 정의와 개요

제3장 개요

제4장 시장 역학

• 영향요인
  • 촉진요인
    • 클라우드 기반 솔루션의 채택 확대
    • 데이터 생성의 급증
  • 억제요인
    • 데이터 보안과 프라이버시에 관한 우려
  • 기회
  • 영향 분석

제5장 산업 분석

• Porter's Five Forces 분석
• 공급망 분석
• 가격 분석
• 규제 분석
• 기술 진보 분석
• 지속가능성 분석
• DMI의 견해

제6장 제공별

• 하드웨어
• 소프트웨어

제7장 스토리지 시스템별

• 직접 접속 스토리지(DAS)
• 네트워크 접속 스토리지(NAS)
• 스토리지 에어리어 네트워크(SAN)

제8장 스토리지 아키텍처별

• 파일 기반 스토리지
• 오브젝트 스토리지
• 블록 스토리지

제9장 스토리지 미디어별

• 하드 디스크 드라이브(HDD)
• 솔리드 스테이트 드라이브(SSD)

제10장 최종사용자별

• 기업
• 정부기관
• 클라우드 서비스 프로바이더
• 클라우드 서비스 프로바이더
• 기타

제11장 지역별

• 북미
  • 미국
  • 캐나다
  • 멕시코
• 유럽
  • 독일
  • 영국
  • 프랑스
  • 이탈리아
  • 러시아
  • 기타 유럽 지역
• 남미
  • 브라질
  • 아르헨티나
  • 기타 남미
• 아시아태평양
  • 중국
  • 인도
  • 일본
  • 호주
  • 기타 아시아태평양
• 중동 및 아프리카

제12장 경쟁 구도

• 경쟁 시나리오
• 시장 현황·점유율 분석
• M&A 분석

제13장 기업 개요

• William Grant & Sons Deutschland GmbH
  • 회사 개요
  • 제품 포트폴리오와 개요
  • 재무 개요
  • 주요 발전
• 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

제14장 부록

영문목차

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.

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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