Direct Attached AI Storage System provides the user with the intelligent automated work without the human intervention. This facility provides the users with numerous advantages such as enhanced scalability, data insights, data stores, reporting and alerting, failure prediction and others.
The global market for Direct Attached AI Storage System was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
The global direct attached AI storage system market refers to the market for storage solutions specifically designed to meet the requirements of artificial intelligence (AI) workloads. Direct attached storage (DAS) refers to storage devices that are directly connected to a server or computer without the need for a storage area network (SAN) or network-attached storage (NAS) infrastructure.
With the proliferation of AI applications and the increasing demand for real-time data processing and analysis, there is a need for storage systems that can efficiently handle the massive amounts of data generated by AI workloads. Direct attached AI storage systems provide high-performance and low-latency storage solutions that can cater to the unique requirements of AI applications, such as deep learning, machine learning, and data analytics.
The growth of the global direct attached AI storage system market is driven by several factors:
Increasing adoption of AI: The widespread adoption of AI across various industries, including healthcare, finance, retail, manufacturing, and automotive, is generating a massive amount of data. Direct attached AI storage systems enable organizations to store and process this data locally, ensuring fast and efficient access for AI applications.
High-performance computing requirements: AI workloads require high-performance computing capabilities to process and analyze large datasets. Direct attached AI storage systems provide the necessary high-speed storage infrastructure to support these demanding computational requirements.
Low-latency data access: AI applications often require real-time or near-real-time data processing. Direct attached AI storage systems offer low-latency data access, ensuring quick retrieval and analysis of data, which is critical for time-sensitive AI tasks.
Scalability and flexibility: Direct attached AI storage systems can be easily scaled by adding more storage devices or expanding existing storage capacities. This scalability and flexibility allow organizations to accommodate growing data volumes generated by AI workloads without significant disruptions or infrastructure changes.
Data security and privacy: AI applications often work with sensitive and confidential data, such as personal information or proprietary business data. Direct attached AI storage systems can provide enhanced data security and privacy as the data remains within the organization鈥檚 premises, reducing the risks associated with data transfer and external storage infrastructures.
It is worth noting that the global direct attached AI storage system market is highly competitive and evolving rapidly. The market is witnessing the emergence of advanced storage technologies, such as non-volatile memory express (NVMe) and storage class memory (SCM), which offer even higher performance and lower latencies. Additionally, cloud-based storage solutions and hybrid storage architectures are gaining popularity for AI workloads, providing organizations with the flexibility and scalability required for their AI initiatives.
In conclusion, the global direct attached AI storage system market is driven by the increasing adoption of AI, the need for high-performance computing capabilities, low-latency data access, scalability, and data security. As AI applications continue to evolve and generate larger datasets, the demand for efficient and high-performance storage solutions will likely continue to rise.The global direct attached AI storage system market refers to the market for storage solutions specifically designed to meet the requirements of artificial intelligence (AI) workloads. Direct attached storage (DAS) refers to storage devices that are directly connected to a server or computer without the need for a storage area network (SAN) or network-attached storage (NAS) infrastructure.
With the proliferation of AI applications and the increasing demand for real-time data processing and analysis, there is a need for storage systems that can efficiently handle the massive amounts of data generated by AI workloads. Direct attached AI storage systems provide high-performance and low-latency storage solutions that can cater to the unique requirements of AI applications, such as deep learning, machine learning, and data analytics.
The growth of the global direct attached AI storage system market is driven by several factors:
Increasing adoption of AI: The widespread adoption of AI across various industries, including healthcare, finance, retail, manufacturing, and automotive, is generating a massive amount of data. Direct attached AI storage systems enable organizations to store and process this data locally, ensuring fast and efficient access for AI applications.
High-performance computing requirements: AI workloads require high-performance computing capabilities to process and analyze large datasets. Direct attached AI storage systems provide the necessary high-speed storage infrastructure to support these demanding computational requirements.
Low-latency data access: AI applications often require real-time or near-real-time data processing. Direct attached AI storage systems offer low-latency data access, ensuring quick retrieval and analysis of data, which is critical for time-sensitive AI tasks.
Scalability and flexibility: Direct attached AI storage systems can be easily scaled by adding more storage devices or expanding existing storage capacities. This scalability and flexibility allow organizations to accommodate growing data volumes generated by AI workloads without significant disruptions or infrastructure changes.
Data security and privacy: AI applications often work with sensitive and confidential data, such as personal information or proprietary business data. Direct attached AI storage systems can provide enhanced data security and privacy as the data remains within the organization鈥檚 premises, reducing the risks associated with data transfer and external storage infrastructures.
It is worth noting that the global direct attached AI storage system market is highly competitive and evolving rapidly. The market is witnessing the emergence of advanced storage technologies, such as non-volatile memory express (NVMe) and storage class memory (SCM), which offer even higher performance and lower latencies. Additionally, cloud-based storage solutions and hybrid storage architectures are gaining popularity for AI workloads, providing organizations with the flexibility and scalability required for their AI initiatives.
In conclusion, the global direct attached AI storage system market is driven by the increasing adoption of AI, the need for high-performance computing capabilities, low-latency data access, scalability, and data security. As AI applications continue to evolve and generate larger datasets, the demand for efficient and high-performance storage solutions will likely continue to rise.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Direct Attached AI Storage System, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Direct Attached AI Storage System by region & country, by Type, and by Application.
The Direct Attached AI Storage System market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Direct Attached AI Storage System.
Market Segmentation
By Company
Nvidia
IBM
Intel Corporation
Xilinx
SAMSUNG
Micron Technology
Microsoft
Advanced Micro Devices, Inc
Oracle
American Software, Inc.
Splice Machine
Toshiba
FedEx
Deutsche Post AG
Dell Inc.
Hewlett-Packard
Pure Storage
NetApp
Cisco Systems, Inc.
Lenovo
Segment by Type:
Hardware
Software
Segment by Application
Enterprises
Government Agencies
Cloud Service Providers
Telecom Companies
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Colombia
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Direct Attached AI Storage System manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Direct Attached AI Storage System in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Direct Attached AI Storage System in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Direct Attached AI Storage System Product Introduction
1.2 Global Direct Attached AI Storage System Market Size Forecast
1.3 Direct Attached AI Storage System Market Trends & Drivers
1.3.1 Direct Attached AI Storage System Industry Trends
1.3.2 Direct Attached AI Storage System Market Drivers & Opportunity
1.3.3 Direct Attached AI Storage System Market Challenges
1.3.4 Direct Attached AI Storage System Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Direct Attached AI Storage System Players Revenue Ranking (2023)
2.2 Global Direct Attached AI Storage System Revenue by Company (2019-2024)
2.3 Key Companies Direct Attached AI Storage System Manufacturing Base Distribution and Headquarters
2.4 Key Companies Direct Attached AI Storage System Product Offered
2.5 Key Companies Time to Begin Mass Production of Direct Attached AI Storage System
2.6 Direct Attached AI Storage System Market Competitive Analysis
2.6.1 Direct Attached AI Storage System Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Direct Attached AI Storage System Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Direct Attached AI Storage System as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.2 Global Direct Attached AI Storage System Sales Value by Type
3.2.1 Global Direct Attached AI Storage System Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Direct Attached AI Storage System Sales Value, by Type (2019-2030)
3.2.3 Global Direct Attached AI Storage System Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Enterprises
4.1.2 Government Agencies
4.1.3 Cloud Service Providers
4.1.4 Telecom Companies
4.1.5 Others
4.2 Global Direct Attached AI Storage System Sales Value by Application
4.2.1 Global Direct Attached AI Storage System Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Direct Attached AI Storage System Sales Value, by Application (2019-2030)
4.2.3 Global Direct Attached AI Storage System Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Direct Attached AI Storage System Sales Value by Region
5.1.1 Global Direct Attached AI Storage System Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Direct Attached AI Storage System Sales Value by Region (2019-2024)
5.1.3 Global Direct Attached AI Storage System Sales Value by Region (2025-2030)
5.1.4 Global Direct Attached AI Storage System Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Direct Attached AI Storage System Sales Value, 2019-2030
5.2.2 North America Direct Attached AI Storage System Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Direct Attached AI Storage System Sales Value, 2019-2030
5.3.2 Europe Direct Attached AI Storage System Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Direct Attached AI Storage System Sales Value, 2019-2030
5.4.2 Asia Pacific Direct Attached AI Storage System Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Direct Attached AI Storage System Sales Value, 2019-2030
5.5.2 South America Direct Attached AI Storage System Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Direct Attached AI Storage System Sales Value, 2019-2030
5.6.2 Middle East & Africa Direct Attached AI Storage System Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Direct Attached AI Storage System Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Direct Attached AI Storage System Sales Value
6.3 United States
6.3.1 United States Direct Attached AI Storage System Sales Value, 2019-2030
6.3.2 United States Direct Attached AI Storage System Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Direct Attached AI Storage System Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Direct Attached AI Storage System Sales Value, 2019-2030
6.4.2 Europe Direct Attached AI Storage System Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Direct Attached AI Storage System Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Direct Attached AI Storage System Sales Value, 2019-2030
6.5.2 China Direct Attached AI Storage System Sales Value by Type (%), 2023 VS 2030
6.5.3 China Direct Attached AI Storage System Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Direct Attached AI Storage System Sales Value, 2019-2030
6.6.2 Japan Direct Attached AI Storage System Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Direct Attached AI Storage System Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Direct Attached AI Storage System Sales Value, 2019-2030
6.7.2 South Korea Direct Attached AI Storage System Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Direct Attached AI Storage System Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Direct Attached AI Storage System Sales Value, 2019-2030
6.8.2 Southeast Asia Direct Attached AI Storage System Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Direct Attached AI Storage System Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Direct Attached AI Storage System Sales Value, 2019-2030
6.9.2 India Direct Attached AI Storage System Sales Value by Type (%), 2023 VS 2030
6.9.3 India Direct Attached AI Storage System Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Nvidia
7.1.1 Nvidia Profile
7.1.2 Nvidia Main Business
7.1.3 Nvidia Direct Attached AI Storage System Products, Services and Solutions
7.1.4 Nvidia Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.1.5 Nvidia Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM Direct Attached AI Storage System Products, Services and Solutions
7.2.4 IBM Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 Intel Corporation
7.3.1 Intel Corporation Profile
7.3.2 Intel Corporation Main Business
7.3.3 Intel Corporation Direct Attached AI Storage System Products, Services and Solutions
7.3.4 Intel Corporation Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.3.5 Xilinx Recent Developments
7.4 Xilinx
7.4.1 Xilinx Profile
7.4.2 Xilinx Main Business
7.4.3 Xilinx Direct Attached AI Storage System Products, Services and Solutions
7.4.4 Xilinx Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.4.5 Xilinx Recent Developments
7.5 SAMSUNG
7.5.1 SAMSUNG Profile
7.5.2 SAMSUNG Main Business
7.5.3 SAMSUNG Direct Attached AI Storage System Products, Services and Solutions
7.5.4 SAMSUNG Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.5.5 SAMSUNG Recent Developments
7.6 Micron Technology
7.6.1 Micron Technology Profile
7.6.2 Micron Technology Main Business
7.6.3 Micron Technology Direct Attached AI Storage System Products, Services and Solutions
7.6.4 Micron Technology Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.6.5 Micron Technology Recent Developments
7.7 Microsoft
7.7.1 Microsoft Profile
7.7.2 Microsoft Main Business
7.7.3 Microsoft Direct Attached AI Storage System Products, Services and Solutions
7.7.4 Microsoft Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.7.5 Microsoft Recent Developments
7.8 Advanced Micro Devices, Inc
7.8.1 Advanced Micro Devices, Inc Profile
7.8.2 Advanced Micro Devices, Inc Main Business
7.8.3 Advanced Micro Devices, Inc Direct Attached AI Storage System Products, Services and Solutions
7.8.4 Advanced Micro Devices, Inc Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.8.5 Advanced Micro Devices, Inc Recent Developments
7.9 Oracle
7.9.1 Oracle Profile
7.9.2 Oracle Main Business
7.9.3 Oracle Direct Attached AI Storage System Products, Services and Solutions
7.9.4 Oracle Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.9.5 Oracle Recent Developments
7.10 American Software, Inc.
7.10.1 American Software, Inc. Profile
7.10.2 American Software, Inc. Main Business
7.10.3 American Software, Inc. Direct Attached AI Storage System Products, Services and Solutions
7.10.4 American Software, Inc. Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.10.5 American Software, Inc. Recent Developments
7.11 Splice Machine
7.11.1 Splice Machine Profile
7.11.2 Splice Machine Main Business
7.11.3 Splice Machine Direct Attached AI Storage System Products, Services and Solutions
7.11.4 Splice Machine Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.11.5 Splice Machine Recent Developments
7.12 Toshiba
7.12.1 Toshiba Profile
7.12.2 Toshiba Main Business
7.12.3 Toshiba Direct Attached AI Storage System Products, Services and Solutions
7.12.4 Toshiba Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.12.5 Toshiba Recent Developments
7.13 FedEx
7.13.1 FedEx Profile
7.13.2 FedEx Main Business
7.13.3 FedEx Direct Attached AI Storage System Products, Services and Solutions
7.13.4 FedEx Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.13.5 FedEx Recent Developments
7.14 Deutsche Post AG
7.14.1 Deutsche Post AG Profile
7.14.2 Deutsche Post AG Main Business
7.14.3 Deutsche Post AG Direct Attached AI Storage System Products, Services and Solutions
7.14.4 Deutsche Post AG Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.14.5 Deutsche Post AG Recent Developments
7.15 Dell Inc.
7.15.1 Dell Inc. Profile
7.15.2 Dell Inc. Main Business
7.15.3 Dell Inc. Direct Attached AI Storage System Products, Services and Solutions
7.15.4 Dell Inc. Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.15.5 Dell Inc. Recent Developments
7.16 Hewlett-Packard
7.16.1 Hewlett-Packard Profile
7.16.2 Hewlett-Packard Main Business
7.16.3 Hewlett-Packard Direct Attached AI Storage System Products, Services and Solutions
7.16.4 Hewlett-Packard Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.16.5 Hewlett-Packard Recent Developments
7.17 Pure Storage
7.17.1 Pure Storage Profile
7.17.2 Pure Storage Main Business
7.17.3 Pure Storage Direct Attached AI Storage System Products, Services and Solutions
7.17.4 Pure Storage Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.17.5 Pure Storage Recent Developments
7.18 NetApp
7.18.1 NetApp Profile
7.18.2 NetApp Main Business
7.18.3 NetApp Direct Attached AI Storage System Products, Services and Solutions
7.18.4 NetApp Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.18.5 NetApp Recent Developments
7.19 Cisco Systems, Inc.
7.19.1 Cisco Systems, Inc. Profile
7.19.2 Cisco Systems, Inc. Main Business
7.19.3 Cisco Systems, Inc. Direct Attached AI Storage System Products, Services and Solutions
7.19.4 Cisco Systems, Inc. Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.19.5 Cisco Systems, Inc. Recent Developments
7.20 Lenovo
7.20.1 Lenovo Profile
7.20.2 Lenovo Main Business
7.20.3 Lenovo Direct Attached AI Storage System Products, Services and Solutions
7.20.4 Lenovo Direct Attached AI Storage System Revenue (US$ Million) & (2019-2024)
7.20.5 Lenovo Recent Developments
8 Industry Chain Analysis
8.1 Direct Attached AI Storage System Industrial Chain
8.2 Direct Attached AI Storage System Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Direct Attached AI Storage System Sales Model
8.5.2 Sales Channel
8.5.3 Direct Attached AI Storage System Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Nvidia
IBM
Intel Corporation
Xilinx
SAMSUNG
Micron Technology
Microsoft
Advanced Micro Devices, Inc
Oracle
American Software, Inc.
Splice Machine
Toshiba
FedEx
Deutsche Post AG
Dell Inc.
Hewlett-Packard
Pure Storage
NetApp
Cisco Systems, Inc.
Lenovo
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听
*If Applicable.
