91ÖÆƬ³§

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 Direct Attached AI Storage System market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing 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’s 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’s 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.
This report aims to provide a comprehensive presentation of the global market for Direct Attached AI Storage System, 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.
Report Scope
The Direct Attached AI Storage System market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Direct Attached AI Storage System market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Direct Attached AI Storage System companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
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
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Direct Attached AI Storage System companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.