The Global AI Powered Storage Market size is expected to reach $66.5 billion by 2028, rising at a market growth of 24.5% CAGR during the forecast period.
AI-enabled or AI-powered storage uses AI workloads and contemporary analytics to provide scale-out storage systems for data-driven organizations. Most companies in the modern world depend on data; nevertheless, businesses are well aware of the amount of data they create the value of the data, the elimination of undesired data, and the lifetime of that data. As a result, companies are always looking for new ways to manage their data, including checkpoints for compliance, optimizing their data, registering their data, and conditioning them. AI-powered storage enters the scene at this juncture since it helps businesses to analyze data sensibly and speedily by delivering immediate insights.
The AI-powered storage process can be broken down into three distinct phases: the first is data intake, followed by training using machine learning, and finally, inference, which is the phase of providing insights.
Organizations produce enormous amounts of data that must be categorized and optimized effectively. This need is primarily driving the demand for AI-powered storage worldwide. In addition to this, the expanding use of artificial intelligence across a wide variety of business sectors all over the world, as well as the rising adoption of cloud-based services, are both acting as additional factors that are likely to contribute positively to the expansion of the global market for AI-powered storage in the years to come.
It is frequently utilized for process optimization and automation, data management, and boosting the system's efficiency; as a result, it is greatly desired in the information technology (IT), software, medical sciences, travel, hospitality, and retail sectors. Furthermore, it is widely desired in sectors like BFSI, telecom, entertainment, government, and cloud service providers because it provides encryption and data protection against possible security risks. In addition, it protects against potential security threats.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC (Alphabet Inc.), Cisco Systems, Inc., Hewlett-Packard Enterprise Company, Intel Corporation, Dell Technologies, Inc., Lenovo Group Limited, NetApp, Inc.
AI-enabled or AI-powered storage uses AI workloads and contemporary analytics to provide scale-out storage systems for data-driven organizations. Most companies in the modern world depend on data; nevertheless, businesses are well aware of the amount of data they create the value of the data, the elimination of undesired data, and the lifetime of that data. As a result, companies are always looking for new ways to manage their data, including checkpoints for compliance, optimizing their data, registering their data, and conditioning them. AI-powered storage enters the scene at this juncture since it helps businesses to analyze data sensibly and speedily by delivering immediate insights.
The AI-powered storage process can be broken down into three distinct phases: the first is data intake, followed by training using machine learning, and finally, inference, which is the phase of providing insights.
Organizations produce enormous amounts of data that must be categorized and optimized effectively. This need is primarily driving the demand for AI-powered storage worldwide. In addition to this, the expanding use of artificial intelligence across a wide variety of business sectors all over the world, as well as the rising adoption of cloud-based services, are both acting as additional factors that are likely to contribute positively to the expansion of the global market for AI-powered storage in the years to come.
It is frequently utilized for process optimization and automation, data management, and boosting the system's efficiency; as a result, it is greatly desired in the information technology (IT), software, medical sciences, travel, hospitality, and retail sectors. Furthermore, it is widely desired in sectors like BFSI, telecom, entertainment, government, and cloud service providers because it provides encryption and data protection against possible security risks. In addition, it protects against potential security threats.
COVID-19 Impact Analysis
A significant impact was made on the AI Powered Storage Market as a result of the COVID-19 outbreak. Since COVID-19 took place, investment in AI-led enterprises and organizations, most affiliated with COVID, has continued at a very healthy level. Following the release of COVID-19, it was anticipated that there would be a significant acceleration in the technical growth of the industrial sector, corporate enterprises, and government agencies. Several companies have begun using AI-powered storage systems for their real-time data storage to enhance their business models and increase their turnaround rate. In addition, this expansion has resulted in significant new investments being made in the AI-Powered Storage Market worldwide.Market Growth Factors
An increase in the use of applications and services hosted on the cloud.
The increasing use of cloud-based apps and services is one of the primary factors driving the market for AI-powered storage solutions. Applications that run on the cloud have brought about a significant shift in the commercial world, particularly amid the COVID-19 pandemic. Using AI-powered storage systems for high-performance computing assists businesses in integrating their data and dealing with large amounts of unstructured data. It is anticipated that the market for AI-powered storage would see significant growth throughout the forecast duration.An increase in investments in artificial intelligence and machine learning by BFSI companies
BFSI companies are increasing the amount of money they spend in artificial intelligence and machine learning software to provide better service to their customers and streamline the administration of fintech. Furthermore, because the BFSI industry is becoming more complex and competitive, there is a growing need for solutions specifically customized to the industry's requirements. As a consequence of this, a large number of financial institutions and fintech businesses are making investments in artificial intelligence solutions to fulfill the needs of their customers.Market Restraining Factor
Issues with network utilization and latency in the public cloud
The public cloud might be problematic in terms of latency when it comes to storing and retrieving data. Loss of control over the network from beginning to end, which may occur when data is gathered in the public cloud, in conjunction with significant latency, can disorient how applications function. In addition, storage solutions might be disrupted if the supplier of cloud-based storage has similar network issues, which would ultimately halt activity and cause significant financial losses for organizations. Inadequate Internet bandwidth, distant data center locations, and heavy network traffic are three more factors that might contribute to concerns with latency.Component Outlook
Based on the component, the AI-powered Storage Market is classified into hardware and software. In 2021, the software segment obtained a significant revenue share of the AI-powered storage market. This is because it saves money and time while also reducing risk, all of which are projected to provide lucrative growth and prospects for the industry in the coming years.Storage Architecture Outlook
Based on storage architecture, the AI-powered storage market is classified into file & object-based storage and object storage. In 2021, the object storage segment contributed a sizeable portion of the total revenue generated in the market for AI-powered storage. Object storage provides the most scalable storage architecture, making it well-suited to accommodate the enormous amounts of data required for artificial intelligence and machine learning.Storage System Outlook
Based on the storage system, the AI-powered storage market is divided into direct attached storage, network attached storage, and storage area network. The storage area segment of the AI-powered storage market had the substantial revenue share in 2021, leading to its dominance globally. The widespread usage of storage area networks in small and medium-sized organizations is driving the expansion of the market. It is a network of data storage devices that makes it simpler for data centers to collaborate on storage matters.Storage Medium Outlook
Based on the storage medium, the AI-powered storage market is categorized into hard disk drive and solid-state drive. Within the AI-powered storage market in 2021, the solid-state drive segment obtained the considerable revenue share. A nonvolatile storage medium that saves permanent data on solid-state flash memory is known as a solid-state drive (SSD). Compared to conventional hard disc drives, solid-state drives (SSD) are noticeably more advantageous due to their quicker read/write speeds, lower operating noise levels, and overall superior performance (HDD).End User Outlook
Based on end user, the AI-powered storage market is classified into enterprise, government bodies, cloud service providers, and telecom companies. The enterprise segment accounted for the largest revenue share in the AI-powered storage market in 2021. Companies must comprehensively understand the data they generate, its worth, how to get rid of data that is not wanted, and how long that data will be accessible. AI-enabled storage offers continuous real-time updates from a range of business data sources, optimizes the data, and conducts other intelligent automated operations on it without the need for human input.Regional Outlook
Based on region, the AI-powered storage market is classified into North America, Europe, Asia Pacific, and LAMEA. In 2021, the North America region dominated the AI-powered storage market by producing the highest revenue share. This put the region in the position of being the leader. This may be ascribed to the increasing rate of technological advancement and the digitization of the market in this area, which has led to the use of AI-powered storage by enterprises to preserve their vital data. Additionally, the expansion may be attributed to the substantial presence of players in the data storage market, increased awareness, and the availability of trained talents, as well as the growing use of AI storage in the region's expanding financial sector.AI Powered Storage Market Competition Analysis
The major strategies followed by the market participants are Acquisitions. Based on the Analysis presented in the Cardinal matrix; Alphabet (Google LLC) and Microsoft Corporation are the forerunners in the AI Powered Storage Market. Companies such as Amazon Web Services, Inc. (Amazon.com, Inc.), Intel Corporation, Hewlett-Packard Enterprise Company are some of the key innovators in AI Powered Storage Market.The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC (Alphabet Inc.), Cisco Systems, Inc., Hewlett-Packard Enterprise Company, Intel Corporation, Dell Technologies, Inc., Lenovo Group Limited, NetApp, Inc.
Recent Strategies Deployed in AI Powered Storage Market
Partnerships, Collaborations and Agreements:
- Oct-2022: Google Cloud expanded its partnership with Accenture, specializing in information technology (IT) services and consulting. Through this partnership, both companies aimed at jointly develop new solutions using data and AI. Furthermore, it would enable the clients to build a strong core and reinvent their enterprises on the cloud
- Oct-2022: Lenovo signed an agreement with VMware, a cloud computing and virtualization technology company, to accelerate the transformation of businesses from edge to the cloud. Both companies would develop plans to deliver AI and multi-cloud solutions to enable seamless management across today's changing IT landscape and help customers leverage data intelligence across a wide range of industry-specific applications
- May-2022: IBM Corporation signed an agreement with Amazon Web Services (AWS), a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments. This agreement would deliver IBM's clients easy and rapid access to IBM Software that covers Data and AI, Security, Sustainability, and Automation abilities
Product Launches and Product Expansions:
- Jul-2022: Dell Technologies unveiled Dell PowerFlex, a modern storage solution. By deploying a software-defined infrastructure with new file services, Dell PowerFlex enables unified block and file capabilities on a single platform that consolidates traditional and modern workloads. Businesses can derive critical insights to grow in the digital era using these advancements
- Apr-2021: IBM released IBM Spectrum Fusion Hyper-Converged Infrastructure, advanced storage solutions. The company aimed at simplifying data accessibility & availability across hybrid clouds along with planning to ship new container-native software-defined storage solutions designed to help companies expand data availability across complex hybrid clouds for greater business performance and resilience
Acquisitions and Mergers:
- Jan-2023: Microsoft Corporation completed the acquisition of Fungible, a developer of composable infrastructure for accelerating the company's data center network and storage performance. The acquisition would enable the company to enhance its broad range of technologies and offerings in offloading, improving latency, increasing system density in data centers, and reducing expenses
- Sep-2022: Google Cloud took over Mandiant, a dynamic cyber defense, threat intelligence, and incident response service provider. The acquisition would enable the company to help enterprises reinvent security, improving their threat, incident, and exposure management
- Jul-2022: IBM took over Databand.ai, a leading provider of data observability software. This acquisition aimed to provide IBM with the most comprehensive set of observability offerings for IT across applications, data, and machine learning and would continue to provide IBM's customers and partners with the technology they require to provide trustworthy data and AI at scale
- May-2022: NetApp took over Instaclustr, a leading platform provider of a fully managed open-source database, pipeline, and workflow applications delivered as a service. The acquisition would combine continuous storage and compute optimization of the company with Instaclustr’s fully managed database and data pipeline services to provide customers with a cloud operations platform that enables an optimized foundation for their applications in the public clouds and on-premises
- Mar-2022: Microsoft took over Nuance Communications, a leader in conversational AI and ambient intelligence industries. This acquisition aimed to bring together Nuance’s best-in-class conversational AI and ambient intelligence with Microsoft’s secure as well as trusted industry cloud offerings. Also, this acquisition would help providers offer more affordable, effective, and accessible healthcare, and help businesses in every industry create more personalized and meaningful customer experiences
- Mar-2022: Intel signed an agreement to acquire Granulate Cloud Solutions, an Israel-based developer of real-time continuous optimization software. The acquisition would complement Intel's current abilities by helping consumers realize performance benefits, cloud cost reductions & continue workload learning
- Feb-2022: IBM completed the acquisition of Neudesic, a leading U.S. cloud services consultancy. This acquisition aimed to expand IBM's portfolio of hybrid multi-cloud services and further improve the company's hybrid cloud as well as AI strategy
- Sep-2021: Hewlett Packard acquired Zerto, a new disaster recovery, and backup solution. This acquisition would position the HPE GreenLake edge-to-cloud platform in the high-growth data protection market with a proven solution and further propels HPE’s storage enterprise into a cloud-native, software-defined data services business
- Jun-2021: Hewlett Packard Enterprise completed the acquisition of Determined AI, a San Francisco-based startup. This acquisition aimed to provide a strong and robust software stack to train AI models quicker, at any scale, utilizing its open-source machine learning (ML) platform
- Jun-2021: IBM acquired Turbonomic, an Application Resource Management (ARM) and Network Performance Management (NPM) software, provider. This acquisition aimed to add Turbonomic to IBM's portfolio
- Jun-2021: NetApp acquired Data Mechanics, a managed platform provider for big data processing and cloud analytics. Through this acquisition, the company aimed at adding Data Mechanics to its existing solutions that help businesses to advance their data and cloud initiatives by leveraging Apache Spark and Kubernetes
- Feb-2021: Cisco completed the acquisition of IMImobile, a leading global provider of cloud communications software and services. This acquisition aimed to integrate IMImobile’s solution along with Webex Contact Center, to design a new robust Customer Experience as a Service offer. Additionally, this suite would combine artificial intelligence, collaboration, Communications, cloud contact center, and experience management as a Service to generate a single solution that would give the enterprise the capability to deliver the exceptional experiences consumers require
- Jan-2021: Cisco took over Banzai Cloud, a privately held company headquartered in Budapest, Hungary. Through this acquisition, the Banzai Cloud team would expand Cisco’s expertise and abilities through its demonstrated experience with the entire end-to-end cloud-native application, deployment, and runtime, development, and security progress
- Dec-2020: IBM took over Instana, a German American software firm. Through this acquisition, IBM aimed to deliver industry-leading, AI-powered automation offerings to handle the complications of modern applications that span hybrid cloud landscapes
Scope of the Study
Market Segments Covered in the Report:
By Component
- Hardware
- Software
By Storage Architecture
- File & Object Based Storage
- Object Storage
By Storage System
- Direct Attached Storage
- Network Attached Storage
- Storage Area Network
By Storage Medium
- Hard Disk Drive
- Solid State Drive
By End User
- Enterprises
- BFSI
- Manufacturing
- Media & Entertainment
- Healthcare
- Consumer Goods & Retail
- Others
- Cloud Service Providers
- Telecom Companies
- Others
By Geography
North America
- US
- Canada
- Mexico
- Rest of North America
Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Google LLC (Alphabet Inc.)
- Cisco Systems, Inc
- Hewlett-Packard Enterprise Company
- Intel Corporation
- Dell Technologies, Inc
- Lenovo Group Limited
- NetApp, Inc
Unique Offerings
- Exhaustive coverage
- The highest number of market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global AI Powered Storage Market, by Component
1.4.2 Global AI Powered Storage Market, by Storage Architecture
1.4.3 Global AI Powered Storage Market, by Storage System
1.4.4 Global AI Powered Storage Market, by Storage Medium
1.4.5 Global AI Powered Storage Market, by End User
1.4.6 Global AI Powered Storage Market, by Geography
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition & Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 KBV Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.3.2 Key Strategic Move: (Acquisition and Mergers: 2019, Aug - 2023, Jan) Leading Players
Chapter 4. Global AI Powered Storage Market by Component
4.1 Global Hardware Market by Region
4.2 Global Software Market by Region
Chapter 5. Global AI Powered Storage Market by Storage Architecture
5.1 Global File & Object Based Storage Market by Region
5.2 Global Object Storage Market by Region
Chapter 6. Global AI Powered Storage Market by Storage System
6.1 Global Direct Attached Storage Market by Region
6.2 Global Network Attached Storage Market by Region
6.3 Global Storage Area Network Market by Region
Chapter 7. Global AI Powered Storage Market by Storage Medium
7.1 Global Hard Disk Drive Market by Region
7.2 Global Solid State Drive Market by Region
Chapter 8. Global AI Powered Storage Market by End User
8.1 Global Enterprises Market by Region
8.2 Global AI Powered Storage Market by Enterprises Type
8.2.1 Global BFSI Market by Region
8.2.2 Global Manufacturing Market by Region
8.2.3 Global Media & Entertainment Market by Region
8.2.4 Global Healthcare Market by Region
8.2.5 Global Consumer Goods & Retail Market by Region
8.2.6 Global Others Market by Region
8.3 Global Cloud Service Providers Market by Region
8.4 Global Telecom Companies Market by Region
8.5 Global Others Market by Region
Chapter 9. Global AI Powered Storage Market by Region
9.1 North America AI Powered Storage Market
9.1.1 North America AI Powered Storage Market by Component
9.1.1.1 North America Hardware Market by Country
9.1.1.2 North America Software Market by Country
9.1.2 North America AI Powered Storage Market by Storage Architecture
9.1.2.1 North America File & Object Based Storage Market by Country
9.1.2.2 North America Object Storage Market by Country
9.1.3 North America AI Powered Storage Market by Storage System
9.1.3.1 North America Direct Attached Storage Market by Country
9.1.3.2 North America Network Attached Storage Market by Country
9.1.3.3 North America Storage Area Network Market by Country
9.1.4 North America AI Powered Storage Market by Storage Medium
9.1.4.1 North America Hard Disk Drive Market by Country
9.1.4.2 North America Solid State Drive Market by Country
9.1.5 North America AI Powered Storage Market by End User
9.1.5.1 North America Enterprises Market by Country
9.1.5.2 North America AI Powered Storage Market by Enterprises Type
9.1.5.2.1 North America BFSI Market by Country
9.1.5.2.2 North America Manufacturing Market by Country
9.1.5.2.3 North America Media & Entertainment Market by Country
9.1.5.2.4 North America Healthcare Market by Country
9.1.5.2.5 North America Consumer Goods & Retail Market by Country
9.1.5.2.6 North America Others Market by Country
9.1.5.3 North America Cloud Service Providers Market by Country
9.1.5.4 North America Telecom Companies Market by Country
9.1.5.5 North America Others Market by Country
9.1.6 North America AI Powered Storage Market by Country
9.1.6.1 US AI Powered Storage Market
9.1.6.1.1 US AI Powered Storage Market by Component
9.1.6.1.2 US AI Powered Storage Market by Storage Architecture
9.1.6.1.3 US AI Powered Storage Market by Storage System
9.1.6.1.4 US AI Powered Storage Market by Storage Medium
9.1.6.1.5 US AI Powered Storage Market by End User
9.1.6.1.5.1 US AI Powered Storage Market by Enterprises Type
9.1.6.2 Canada AI Powered Storage Market
9.1.6.2.1 Canada AI Powered Storage Market by Component
9.1.6.2.2 Canada AI Powered Storage Market by Storage Architecture
9.1.6.2.3 Canada AI Powered Storage Market by Storage System
9.1.6.2.4 Canada AI Powered Storage Market by Storage Medium
9.1.6.2.5 Canada AI Powered Storage Market by End User
9.1.6.2.5.1 Canada AI Powered Storage Market by Enterprises Type
9.1.6.3 Mexico AI Powered Storage Market
9.1.6.3.1 Mexico AI Powered Storage Market by Component
9.1.6.3.2 Mexico AI Powered Storage Market by Storage Architecture
9.1.6.3.3 Mexico AI Powered Storage Market by Storage System
9.1.6.3.4 Mexico AI Powered Storage Market by Storage Medium
9.1.6.3.5 Mexico AI Powered Storage Market by End User
9.1.6.3.5.1 Mexico AI Powered Storage Market by Enterprises Type
9.1.6.4 Rest of North America AI Powered Storage Market
9.1.6.4.1 Rest of North America AI Powered Storage Market by Component
9.1.6.4.2 Rest of North America AI Powered Storage Market by Storage Architecture
9.1.6.4.3 Rest of North America AI Powered Storage Market by Storage System
9.1.6.4.4 Rest of North America AI Powered Storage Market by Storage Medium
9.1.6.4.5 Rest of North America AI Powered Storage Market by End User
9.1.6.4.5.1 Rest of North America AI Powered Storage Market by Enterprises Type
9.2 Europe AI Powered Storage Market
9.2.1 Europe AI Powered Storage Market by Component
9.2.1.1 Europe Hardware Market by Country
9.2.1.2 Europe Software Market by Country
9.2.2 Europe AI Powered Storage Market by Storage Architecture
9.2.2.1 Europe File & Object Based Storage Market by Country
9.2.2.2 Europe Object Storage Market by Country
9.2.3 Europe AI Powered Storage Market by Storage System
9.2.3.1 Europe Direct Attached Storage Market by Country
9.2.3.2 Europe Network Attached Storage Market by Country
9.2.3.3 Europe Storage Area Network Market by Country
9.2.4 Europe AI Powered Storage Market by Storage Medium
9.2.4.1 Europe Hard Disk Drive Market by Country
9.2.4.2 Europe Solid State Drive Market by Country
9.2.5 Europe AI Powered Storage Market by End User
9.2.5.1 Europe Enterprises Market by Country
9.2.5.2 Europe AI Powered Storage Market by Enterprises Type
9.2.5.2.1 Europe BFSI Market by Country
9.2.5.2.2 Europe Manufacturing Market by Country
9.2.5.2.3 Europe Media & Entertainment Market by Country
9.2.5.2.4 Europe Healthcare Market by Country
9.2.5.2.5 Europe Consumer Goods & Retail Market by Country
9.2.5.2.6 Europe Others Market by Country
9.2.5.3 Europe Cloud Service Providers Market by Country
9.2.5.4 Europe Telecom Companies Market by Country
9.2.5.5 Europe Others Market by Country
9.2.6 Europe AI Powered Storage Market by Country
9.2.6.1 Germany AI Powered Storage Market
9.2.6.1.1 Germany AI Powered Storage Market by Component
9.2.6.1.2 Germany AI Powered Storage Market by Storage Architecture
9.2.6.1.3 Germany AI Powered Storage Market by Storage System
9.2.6.1.4 Germany AI Powered Storage Market by Storage Medium
9.2.6.1.5 Germany AI Powered Storage Market by End User
9.2.6.1.5.1 Germany AI Powered Storage Market by Enterprises Type
9.2.6.2 UK AI Powered Storage Market
9.2.6.2.1 UK AI Powered Storage Market by Component
9.2.6.2.2 UK AI Powered Storage Market by Storage Architecture
9.2.6.2.3 UK AI Powered Storage Market by Storage System
9.2.6.2.4 UK AI Powered Storage Market by Storage Medium
9.2.6.2.5 UK AI Powered Storage Market by End User
9.2.6.2.5.1 UK AI Powered Storage Market by Enterprises Type
9.2.6.3 France AI Powered Storage Market
9.2.6.3.1 France AI Powered Storage Market by Component
9.2.6.3.2 France AI Powered Storage Market by Storage Architecture
9.2.6.3.3 France AI Powered Storage Market by Storage System
9.2.6.3.4 France AI Powered Storage Market by Storage Medium
9.2.6.3.5 France AI Powered Storage Market by End User
9.2.6.3.5.1 France AI Powered Storage Market by Enterprises Type
9.2.6.4 Russia AI Powered Storage Market
9.2.6.4.1 Russia AI Powered Storage Market by Component
9.2.6.4.2 Russia AI Powered Storage Market by Storage Architecture
9.2.6.4.3 Russia AI Powered Storage Market by Storage System
9.2.6.4.4 Russia AI Powered Storage Market by Storage Medium
9.2.6.4.5 Russia AI Powered Storage Market by End User
9.2.6.4.5.1 Russia AI Powered Storage Market by Enterprises Type
9.2.6.5 Spain AI Powered Storage Market
9.2.6.5.1 Spain AI Powered Storage Market by Component
9.2.6.5.2 Spain AI Powered Storage Market by Storage Architecture
9.2.6.5.3 Spain AI Powered Storage Market by Storage System
9.2.6.5.4 Spain AI Powered Storage Market by Storage Medium
9.2.6.5.5 Spain AI Powered Storage Market by End User
9.2.6.5.5.1 Spain AI Powered Storage Market by Enterprises Type
9.2.6.6 Italy AI Powered Storage Market
9.2.6.6.1 Italy AI Powered Storage Market by Component
9.2.6.6.2 Italy AI Powered Storage Market by Storage Architecture
9.2.6.6.3 Italy AI Powered Storage Market by Storage System
9.2.6.6.4 Italy AI Powered Storage Market by Storage Medium
9.2.6.6.5 Italy AI Powered Storage Market by End User
9.2.6.6.5.1 Italy AI Powered Storage Market by Enterprises Type
9.2.6.7 Rest of Europe AI Powered Storage Market
9.2.6.7.1 Rest of Europe AI Powered Storage Market by Component
9.2.6.7.2 Rest of Europe AI Powered Storage Market by Storage Architecture
9.2.6.7.3 Rest of Europe AI Powered Storage Market by Storage System
9.2.6.7.4 Rest of Europe AI Powered Storage Market by Storage Medium
9.2.6.7.5 Rest of Europe AI Powered Storage Market by End User
9.2.6.7.5.1 Rest of Europe AI Powered Storage Market by Enterprises Type
9.3 Asia Pacific AI Powered Storage Market
9.3.1 Asia Pacific AI Powered Storage Market by Component
9.3.1.1 Asia Pacific Hardware Market by Country
9.3.1.2 Asia Pacific Software Market by Country
9.3.2 Asia Pacific AI Powered Storage Market by Storage Architecture
9.3.2.1 Asia Pacific File & Object Based Storage Market by Country
9.3.2.2 Asia Pacific Object Storage Market by Country
9.3.3 Asia Pacific AI Powered Storage Market by Storage System
9.3.3.1 Asia Pacific Direct Attached Storage Market by Country
9.3.3.2 Asia Pacific Network Attached Storage Market by Country
9.3.3.3 Asia Pacific Storage Area Network Market by Country
9.3.4 Asia Pacific AI Powered Storage Market by Storage Medium
9.3.4.1 Asia Pacific Hard Disk Drive Market by Country
9.3.4.2 Asia Pacific Solid State Drive Market by Country
9.3.5 Asia Pacific AI Powered Storage Market by End User
9.3.5.1 Asia Pacific Enterprises Market by Country
9.3.5.2 Asia Pacific AI Powered Storage Market by Enterprises Type
9.3.5.2.1 Asia Pacific BFSI Market by Country
9.3.5.2.2 Asia Pacific Manufacturing Market by Country
9.3.5.2.3 Asia Pacific Media & Entertainment Market by Country
9.3.5.2.4 Asia Pacific Healthcare Market by Country
9.3.5.2.5 Asia Pacific Consumer Goods & Retail Market by Country
9.3.5.2.6 Asia Pacific Others Market by Country
9.3.5.3 Asia Pacific Cloud Service Providers Market by Country
9.3.5.4 Asia Pacific Telecom Companies Market by Country
9.3.5.5 Asia Pacific Others Market by Country
9.3.6 Asia Pacific AI Powered Storage Market by Country
9.3.6.1 China AI Powered Storage Market
9.3.6.1.1 China AI Powered Storage Market by Component
9.3.6.1.2 China AI Powered Storage Market by Storage Architecture
9.3.6.1.3 China AI Powered Storage Market by Storage System
9.3.6.1.4 China AI Powered Storage Market by Storage Medium
9.3.6.1.5 China AI Powered Storage Market by End User
9.3.6.1.5.1 China AI Powered Storage Market by Enterprises Type
9.3.6.2 Japan AI Powered Storage Market
9.3.6.2.1 Japan AI Powered Storage Market by Component
9.3.6.2.2 Japan AI Powered Storage Market by Storage Architecture
9.3.6.2.3 Japan AI Powered Storage Market by Storage System
9.3.6.2.4 Japan AI Powered Storage Market by Storage Medium
9.3.6.2.5 Japan AI Powered Storage Market by End User
9.3.6.2.5.1 Japan AI Powered Storage Market by Enterprises Type
9.3.6.3 India AI Powered Storage Market
9.3.6.3.1 India AI Powered Storage Market by Component
9.3.6.3.2 India AI Powered Storage Market by Storage Architecture
9.3.6.3.3 India AI Powered Storage Market by Storage System
9.3.6.3.4 India AI Powered Storage Market by Storage Medium
9.3.6.3.5 India AI Powered Storage Market by End User
9.3.6.3.5.1 India AI Powered Storage Market by Enterprises Type
9.3.6.4 South Korea AI Powered Storage Market
9.3.6.4.1 South Korea AI Powered Storage Market by Component
9.3.6.4.2 South Korea AI Powered Storage Market by Storage Architecture
9.3.6.4.3 South Korea AI Powered Storage Market by Storage System
9.3.6.4.4 South Korea AI Powered Storage Market by Storage Medium
9.3.6.4.5 South Korea AI Powered Storage Market by End User
9.3.6.4.5.1 South Korea AI Powered Storage Market by Enterprises Type
9.3.6.5 Singapore AI Powered Storage Market
9.3.6.5.1 Singapore AI Powered Storage Market by Component
9.3.6.5.2 Singapore AI Powered Storage Market by Storage Architecture
9.3.6.5.3 Singapore AI Powered Storage Market by Storage System
9.3.6.5.4 Singapore AI Powered Storage Market by Storage Medium
9.3.6.5.5 Singapore AI Powered Storage Market by End User
9.3.6.5.5.1 Singapore AI Powered Storage Market by Enterprises Type
9.3.6.6 Malaysia AI Powered Storage Market
9.3.6.6.1 Malaysia AI Powered Storage Market by Component
9.3.6.6.2 Malaysia AI Powered Storage Market by Storage Architecture
9.3.6.6.3 Malaysia AI Powered Storage Market by Storage System
9.3.6.6.4 Malaysia AI Powered Storage Market by Storage Medium
9.3.6.6.5 Malaysia AI Powered Storage Market by End User
9.3.6.6.5.1 Malaysia AI Powered Storage Market by Enterprises Type
9.3.6.7 Rest of Asia Pacific AI Powered Storage Market
9.3.6.7.1 Rest of Asia Pacific AI Powered Storage Market by Component
9.3.6.7.2 Rest of Asia Pacific AI Powered Storage Market by Storage Architecture
9.3.6.7.3 Rest of Asia Pacific AI Powered Storage Market by Storage System
9.3.6.7.4 Rest of Asia Pacific AI Powered Storage Market by Storage Medium
9.3.6.7.5 Rest of Asia Pacific AI Powered Storage Market by End User
9.3.6.7.5.1 Rest of Asia Pacific AI Powered Storage Market by Enterprises Type
9.4 LAMEA AI Powered Storage Market
9.4.1 LAMEA AI Powered Storage Market by Component
9.4.1.1 LAMEA Hardware Market by Country
9.4.1.2 LAMEA Software Market by Country
9.4.2 LAMEA AI Powered Storage Market by Storage Architecture
9.4.2.1 LAMEA File & Object Based Storage Market by Country
9.4.2.2 LAMEA Object Storage Market by Country
9.4.3 LAMEA AI Powered Storage Market by Storage System
9.4.3.1 LAMEA Direct Attached Storage Market by Country
9.4.3.2 LAMEA Network Attached Storage Market by Country
9.4.3.3 LAMEA Storage Area Network Market by Country
9.4.4 LAMEA AI Powered Storage Market by Storage Medium
9.4.4.1 LAMEA Hard Disk Drive Market by Country
9.4.4.2 LAMEA Solid State Drive Market by Country
9.4.5 LAMEA AI Powered Storage Market by End User
9.4.5.1 LAMEA Enterprises Market by Country
9.4.5.2 LAMEA AI Powered Storage Market by Enterprises Type
9.4.5.2.1 LAMEA BFSI Market by Country
9.4.5.2.2 LAMEA Manufacturing Market by Country
9.4.5.2.3 LAMEA Media & Entertainment Market by Country
9.4.5.2.4 LAMEA Healthcare Market by Country
9.4.5.2.5 LAMEA Consumer Goods & Retail Market by Country
9.4.5.2.6 LAMEA Others Market by Country
9.4.5.3 LAMEA Cloud Service Providers Market by Country
9.4.5.4 LAMEA Telecom Companies Market by Country
9.4.5.5 LAMEA Others Market by Country
9.4.6 LAMEA AI Powered Storage Market by Country
9.4.6.1 Brazil AI Powered Storage Market
9.4.6.1.1 Brazil AI Powered Storage Market by Component
9.4.6.1.2 Brazil AI Powered Storage Market by Storage Architecture
9.4.6.1.3 Brazil AI Powered Storage Market by Storage System
9.4.6.1.4 Brazil AI Powered Storage Market by Storage Medium
9.4.6.1.5 Brazil AI Powered Storage Market by End User
9.4.6.1.5.1 Brazil AI Powered Storage Market by Enterprises Type
9.4.6.2 Argentina AI Powered Storage Market
9.4.6.2.1 Argentina AI Powered Storage Market by Component
9.4.6.2.2 Argentina AI Powered Storage Market by Storage Architecture
9.4.6.2.3 Argentina AI Powered Storage Market by Storage System
9.4.6.2.4 Argentina AI Powered Storage Market by Storage Medium
9.4.6.2.5 Argentina AI Powered Storage Market by End User
9.4.6.2.5.1 Argentina AI Powered Storage Market by Enterprises Type
9.4.6.3 UAE AI Powered Storage Market
9.4.6.3.1 UAE AI Powered Storage Market by Component
9.4.6.3.2 UAE AI Powered Storage Market by Storage Architecture
9.4.6.3.3 UAE AI Powered Storage Market by Storage System
9.4.6.3.4 UAE AI Powered Storage Market by Storage Medium
9.4.6.3.5 UAE AI Powered Storage Market by End User
9.4.6.3.5.1 UAE AI Powered Storage Market by Enterprises Type
9.4.6.4 Saudi Arabia AI Powered Storage Market
9.4.6.4.1 Saudi Arabia AI Powered Storage Market by Component
9.4.6.4.2 Saudi Arabia AI Powered Storage Market by Storage Architecture
9.4.6.4.3 Saudi Arabia AI Powered Storage Market by Storage System
9.4.6.4.4 Saudi Arabia AI Powered Storage Market by Storage Medium
9.4.6.4.5 Saudi Arabia AI Powered Storage Market by End User
9.4.6.4.5.1 Saudi Arabia AI Powered Storage Market by Enterprises Type
9.4.6.5 South Africa AI Powered Storage Market
9.4.6.5.1 South Africa AI Powered Storage Market by Component
9.4.6.5.2 South Africa AI Powered Storage Market by Storage Architecture
9.4.6.5.3 South Africa AI Powered Storage Market by Storage System
9.4.6.5.4 South Africa AI Powered Storage Market by Storage Medium
9.4.6.5.5 South Africa AI Powered Storage Market by End User
9.4.6.5.5.1 South Africa AI Powered Storage Market by Enterprises Type
9.4.6.6 Nigeria AI Powered Storage Market
9.4.6.6.1 Nigeria AI Powered Storage Market by Component
9.4.6.6.2 Nigeria AI Powered Storage Market by Storage Architecture
9.4.6.6.3 Nigeria AI Powered Storage Market by Storage System
9.4.6.6.4 Nigeria AI Powered Storage Market by Storage Medium
9.4.6.6.5 Nigeria AI Powered Storage Market by End User
9.4.6.6.5.1 Nigeria AI Powered Storage Market by Enterprises Type
9.4.6.7 Rest of LAMEA AI Powered Storage Market
9.4.6.7.1 Rest of LAMEA AI Powered Storage Market by Component
9.4.6.7.2 Rest of LAMEA AI Powered Storage Market by Storage Architecture
9.4.6.7.3 Rest of LAMEA AI Powered Storage Market by Storage System
9.4.6.7.4 Rest of LAMEA AI Powered Storage Market by Storage Medium
9.4.6.7.5 Rest of LAMEA AI Powered Storage Market by End User
9.4.6.7.5.1 Rest of LAMEA AI Powered Storage Market by Enterprises Type
Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Regional & Segmental Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Product Launches and Product Expansions:
10.1.5.3 Acquisition and Mergers:
10.1.6 SWOT Analysis
10.2 Microsoft Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental Analysis
10.3.4 SWOT Analysis
10.4 Google LLC (Alphabet Inc.)
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments:
10.4.5.1 Partnerships, Collaborations, and Agreements:
10.4.5.2 Acquisition and Mergers:
10.4.6 SWOT Analysis
10.5 Cisco Systems, Inc.
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Acquisition and Mergers:
10.5.6 SWOT Analysis
10.6 Dell Technologies, Inc.
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments:
10.6.5.1 Acquisition and Mergers:
10.6.6 SWOT Analysis:
10.7 Hewlett Packard Enterprise Company
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments:
10.7.5.1 Acquisition and Mergers:
10.7.6 SWOT Analysis
10.8 Intel Corporation
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 Recent strategies and developments:
10.8.5.1 Acquisition and Mergers:
10.8.6 SWOT Analysis
10.9 NetApp, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Regional Analysis
10.9.4 Research & Development Expense
10.9.5 Recent strategies and developments:
10.9.5.1 Acquisition and Mergers:
10.9.6 SWOT Analysis
10.10. Lenovo Group Limited
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research & Development Expense
10.10.5 Recent strategies and developments:
10.10.5.1 Partnerships, Collaborations, and Agreements:
Companies Mentioned
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Google LLC (Alphabet Inc.)
- Cisco Systems, Inc.
- Hewlett-Packard Enterprise Company
- Intel Corporation
- Dell Technologies, Inc.
- Lenovo Group Limited
- NetApp, Inc.
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 386 |
| Published | January 2023 |
| Forecast Period | 2021 - 2028 |
| Estimated Market Value ( USD | $ 14785.5 Million |
| Forecasted Market Value ( USD | $ 66524.7 Million |
| Compound Annual Growth Rate | 24.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 10 |
