시장보고서
상품코드
1970011

AI 기반 스토리지 시장 보고서(2026년)

AI-Powered Storage Global Market Report 2026

발행일: | 리서치사: The Business Research Company | 페이지 정보: 영문 250 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

AI 기반 스토리지 시장 규모는 최근 비약적으로 확대하고 있습니다. 2025년 394억 9,000만 달러에서 2026년에는 501억 9,000만 달러로, CAGR 27.1%로 성장할 것으로 예상됩니다. 지난 수년간의 성장에는 기업 데이터량 증가, 클라우드 컴퓨팅 도입 확대, 고성능 스토리지에 대한 수요 증가, 데이터 관리의 복잡성 증가, 가상화 기술 발전 등이 주요 요인으로 꼽힙니다.

AI 기반 스토리지 시장 규모는 향후 몇 년간 급격한 성장이 전망됩니다. 2030년에는 1,326억 8,000만 달러에 달하고, CAGR은 27.5%를 기록할 전망입니다. 예측 기간 동안의 성장 요인으로는 AI 기반 인프라 관리 도입, 실시간 데이터 인사이트에 대한 수요 증가, 하이브리드 클라우드 환경의 확대, 에너지 절약형 스토리지 시스템에 대한 집중, 데이터 집약적 애플리케이션의 성장 등을 꼽을 수 있습니다. 예측 기간의 주요 트렌드에는 지능형 데이터 라이프사이클 관리, 자동화된 스토리지 최적화, 스토리지 시스템 예지보전, AI 기반 데이터 계층화, 강화된 데이터 분석 통합 등이 포함됩니다.

데이터센터의 증가는 향후 AI 기반 스토리지 시장의 성장을 견인할 것으로 예상됩니다. 데이터센터는 첨단 네트워크 컴퓨팅 및 스토리지 인프라를 통해 애플리케이션과 데이터에 대한 공유 액세스를 제공하는 시설입니다. AI 기반 스토리지 시스템은 머신러닝 알고리즘과 예측 분석을 활용하여 데이터센터 내에서 대량의 실시간 데이터를 분석합니다. 이 기능을 통해 데이터센터 운영자는 패턴을 파악하여 리소스 할당, 용량 계획, 워크로드 관리 최적화를 위한 정보에 입각한 의사결정을 내릴 수 있습니다. 예를 들어, 2023년 7월 미국 상업용 부동산 서비스 및 투자 회사인 CBRE 그룹이 발표한 데이터에 따르면, 현재 건설 중인 데이터센터 용량은 사상 최대인 323.9MW에 달하며, 그 중 88.4%가 이미 사전 임대 계약을 체결한 것으로 나타났습니다. 이는 지난해 달라스에서 임대 활동이 850% 증가한 데 따른 것으로, 총 재고는 2022년 1분기부터 2023년 1분기까지 전년 동기 대비 17% 증가했습니다. 이처럼 데이터센터의 증가가 AI 기반 스토리지 시장의 성장을 견인하고 있습니다.

AI 기반 스토리지 시장의 주요 기업들은 경쟁 우위를 확보하기 위해 특히 고성능 컴퓨팅(HPC), 머신러닝 알고리즘 등 첨단 기술을 활용한 첨단 솔루션 도입에 주력하고 있습니다. HPC는 높은 연산 능력으로 유명하며, 특히 머신러닝과 딥러닝을 기반으로 한 AI 알고리즘의 훈련 과정을 크게 가속화하여 AI 모델 개발 및 개선에 필요한 시간을 단축시킵니다. 또한, AI 기반 스토리지 솔루션에 머신러닝 알고리즘을 통합하면 스토리지 성능과 비용 효율성을 최적화할 수 있습니다. 예를 들어, 2023년 3월 엔비디아는 'DGX 클라우드'를 발표했습니다. AI 슈퍼컴퓨팅 서비스는 생성형 AI 애플리케이션을 포함한 고급 모델 훈련에 필요한 하드웨어 및 소프트웨어 구성요소를 즉시 사용할 수 있도록 하는 AI 슈퍼컴퓨팅 서비스입니다. 이 서비스는 HPC 및 머신러닝 알고리즘과 같은 핵심 구성요소를 통합하여 스토리지 성능 향상과 비용 절감을 동시에 실현하는 것을 목표로 합니다. 엔비디아는 당초 Oracle 클라우드 인프라(Oracle Cloud Infrastructure, OCI)와 파트너십을 맺고, 주요 클라우드 서비스 제공업체와 협력하여 DGX 클라우드 인프라를 호스팅하는 것을 목표로 하고 있습니다. OCI Supercluster는 고성능 로컬 스토리지 및 블록 스토리지를 갖추고 있으며, 32,000개 이상의 GPU, 베어메탈 컴퓨팅, 본 목적에 맞게 설계된 RDMA 네트워크를 포함하는 슈퍼 클러스터 규모로 확장할 수 있습니다.

자주 묻는 질문

  • AI 기반 스토리지 시장 규모는 어떻게 변화하고 있나요?
  • AI 기반 스토리지 시장의 성장 요인은 무엇인가요?
  • AI 기반 스토리지 시장의 주요 트렌드는 무엇인가요?
  • AI 기반 스토리지 시장에서 데이터센터의 역할은 무엇인가요?
  • AI 기반 스토리지 시장의 주요 기업들은 어떤 기술을 활용하고 있나요?

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 공급망 분석

제4장 세계 시장 동향과 전략

제5장 최종 이용 산업 시장 분석

제6장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁과 관세의 영향, 관세 전쟁과 무역 보호주의가 공급망에 미치는 영향, 코로나가 시장에 미치는 영향을 포함한 거시경제 시나리오

제7장 세계의 전략 분석 프레임워크, 현재 시장 규모, 시장 비교 및 성장률 분석

제8장 시장에서 세계의 총 잠재 시장 규모(TAM)

제9장 시장 세분화

제10장 국가별 시장·업계 지표

제11장 지역별·국가별 분석

제12장 아시아태평양 시장

제13장 중국 시장

제14장 인도 시장

제15장 일본 시장

제16장 호주 시장

제17장 인도네시아 시장

제18장 한국 시장

제19장 대만 시장

제20장 동남아시아 시장

제21장 서유럽 시장

제22장 영국 시장

제23장 독일 시장

제24장 프랑스 시장

제25장 이탈리아 시장

제26장 스페인 시장

제27장 동유럽 시장

제28장 러시아 시장

제29장 북미 시장

제30장 미국 시장

제31장 캐나다 시장

제32장 남미 시장

제33장 브라질 시장

제34장 중동 시장

제35장 아프리카 시장

제36장 시장 규제 상황과 투자 환경

제37장 경쟁 구도와 기업 개요

제38장 기타 주요 기업과 혁신적 기업

제39장 세계의 시장 경쟁 벤치마킹과 대시보드

제40장 주요 인수합병

제41장 시장 잠재력이 높은 국가, 부문, 전략

제42장 부록

KSM

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.

Tariffs have impacted the AI-powered storage market by increasing costs for imported semiconductors, storage controllers, and high-performance hardware components. These impacts are more visible in hardware-based storage systems and hybrid storage solutions that rely on global supply chains. Regions such as asia-pacific and north america have faced pricing pressures due to tariff-driven component shortages. Higher tariffs have slightly increased deployment costs for enterprises and cloud providers. At the same time, tariffs have encouraged localized manufacturing and innovation in software-driven storage optimization solutions.

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 $39.49 billion in 2025 to $50.19 billion in 2026 at a compound annual growth rate (CAGR) of 27.1%. The growth in the historic period can be attributed to growth in enterprise data volumes, expansion of cloud computing adoption, rising demand for high-performance storage, increasing complexity of data management, growth of virtualization technologies.

The AI-powered storage market size is expected to see exponential growth in the next few years. It will grow to $132.68 billion in 2030 at a compound annual growth rate (CAGR) of 27.5%. The growth in the forecast period can be attributed to adoption of AI-driven infrastructure management, increasing demand for real-time data insights, expansion of hybrid cloud environments, focus on energy-efficient storage systems, growth of data-intensive applications. Major trends in the forecast period include intelligent data lifecycle management, automated storage optimization, predictive maintenance for storage systems, AI-driven data tiering, enhanced data analytics integration.

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.

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 are Google LLC; Samsung Electronics Co. Ltd.; Microsoft Corporation; Dell Technologies Inc.; Hitachi Ltd.; Lenovo Group Limited; Intel Corporation; International Business Machines Corporation; Cisco Systems Inc.; Fujitsu Limited; Micron Technology Inc.; Hewlett Packard Enterprise Company (HPE); Nvidia Corporation; Toshiba Corporation; Pure Storage Inc.; Veritas Technologies LLC; Cohesity Inc.; Infinidat; Tintri Inc.; CTERA Networks Ltd.; Zadara Inc.; Pavilion Data Systems Inc.; MinIO Inc.; DriveScale Inc.; Caringo Inc.

North America was the dominant region in the AI-powered storage market in 2025. 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, South East Asia, 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, Taiwan, 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 Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses ai-powered storage market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

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; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report
  • + Excel Dashboard
  • Added Benefits
  • Bi-Annual Data Update
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Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. AI-Powered Storage Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global AI-Powered Storage Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. AI-Powered Storage Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global AI-Powered Storage Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Industry 4.0 & Intelligent Manufacturing
    • 4.1.5 Sustainability, Climate Tech & Circular Economy
  • 4.2. Major Trends
    • 4.2.1 Intelligent Data Lifecycle Management
    • 4.2.2 Automated Storage Optimization
    • 4.2.3 Predictive Maintenance For Storage Systems
    • 4.2.4 Ai-Driven Data Tiering
    • 4.2.5 Enhanced Data Analytics Integration

5. AI-Powered Storage Market Analysis Of End Use Industries

  • 5.1 Enterprises
  • 5.2 Government Bodies
  • 5.3 Cloud Service Providers
  • 5.4 Telecom Companies
  • 5.5 Data Center Operators

6. AI-Powered Storage Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global AI-Powered Storage Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global AI-Powered Storage PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global AI-Powered Storage Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global AI-Powered Storage Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global AI-Powered Storage Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global AI-Powered Storage Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. AI-Powered Storage Market Segmentation

  • 9.1. Global AI-Powered Storage Market, Segmentation By Offering, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software, Hardware
  • 9.2. Global AI-Powered Storage Market, Segmentation By Storage System, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Direct-Attached Storage, Network-Attached Storage, Storage Area Network
  • 9.3. Global AI-Powered Storage Market, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hard Disk Drive (HDD), Solid State Drive (SSD)
  • 9.4. Global AI-Powered Storage Market, Segmentation By Storage Architecture, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • File And Object-Based Storage, Block Storage
  • 9.5. Global AI-Powered Storage Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Enterprises, Government Bodies, Cloud Service Providers, Telecom Companies, Other End-users
  • 9.6. Global AI-Powered Storage Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI Storage Management Software, Data Analytics Software, AI-Driven Backup And Recovery Solutions
  • 9.7. Global AI-Powered Storage Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI-Optimized Storage Devices, Hybrid Storage Solutions, High-Performance Storage Systems

10. AI-Powered Storage Market, Industry Metrics By Country

  • 10.1. Global AI-Powered Storage Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global AI-Powered Storage Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. AI-Powered Storage Market Regional And Country Analysis

  • 11.1. Global AI-Powered Storage Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global AI-Powered Storage Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific AI-Powered Storage Market

  • 12.1. 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
  • 12.2. Asia-Pacific AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China AI-Powered Storage Market

  • 13.1. China AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India AI-Powered Storage Market

  • 14.1. India AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan AI-Powered Storage Market

  • 15.1. Japan AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia AI-Powered Storage Market

  • 16.1. Australia AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia AI-Powered Storage Market

  • 17.1. Indonesia AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea AI-Powered Storage Market

  • 18.1. South Korea AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan AI-Powered Storage Market

  • 19.1. Taiwan AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia AI-Powered Storage Market

  • 20.1. South East Asia 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
  • 20.2. South East Asia AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe AI-Powered Storage Market

  • 21.1. Western Europe 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
  • 21.2. Western Europe AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK AI-Powered Storage Market

  • 22.1. UK AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany AI-Powered Storage Market

  • 23.1. Germany AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France AI-Powered Storage Market

  • 24.1. France AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy AI-Powered Storage Market

  • 25.1. Italy AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain AI-Powered Storage Market

  • 26.1. Spain AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe AI-Powered Storage Market

  • 27.1. Eastern Europe 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
  • 27.2. Eastern Europe AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia AI-Powered Storage Market

  • 28.1. Russia AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America AI-Powered Storage Market

  • 29.1. North America 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
  • 29.2. North America AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA AI-Powered Storage Market

  • 30.1. USA AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada AI-Powered Storage Market

  • 31.1. Canada AI-Powered Storage Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America AI-Powered Storage Market

  • 32.1. South America 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
  • 32.2. South America AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil AI-Powered Storage Market

  • 33.1. Brazil AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East AI-Powered Storage Market

  • 34.1. Middle East 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
  • 34.2. Middle East AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa AI-Powered Storage Market

  • 35.1. Africa 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
  • 35.2. Africa AI-Powered Storage Market, Segmentation By Offering, Segmentation By Storage System, Segmentation By Storage Medium, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. AI-Powered Storage Market Regulatory and Investment Landscape

37. AI-Powered Storage Market Competitive Landscape And Company Profiles

  • 37.1. AI-Powered Storage Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. AI-Powered Storage Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. AI-Powered Storage Market Company Profiles
    • 37.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

38. AI-Powered Storage Market Other Major And Innovative Companies

  • 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.

39. Global AI-Powered Storage Market Competitive Benchmarking And Dashboard

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

41. AI-Powered Storage Market High Potential Countries, Segments and Strategies

  • 41.1. AI-Powered Storage Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. AI-Powered Storage Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. AI-Powered Storage Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer
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