The Europe AI Powered Storage Market would witness market growth of 24.2% CAGR during the forecast period (2022-2028).
Building a successful AI-based storage infrastructure also requires addressing each of the three distinct phases in the AI storage pipeline, including data ingestion (the process of ingesting and normalizing the information from various environments so that users can glance across it as a whole), training (the process of utilizing machine learning to investigate the information to comprehend what's inside of it), and inference (the process of concluding what's really inside the data) (the stage of delivering insights).
Storage that is designated for AI workloads will unavoidably be required to carry out several essential tasks, such as identity and access management setups, dynamic management of file and resource rights, processing directives, and routing and load balancing schemes. Scalability and performance are two characteristics that must be present in AI storage. Period. The demands placed on workloads may change over time, and AI workload storage must be able to adjust to these shifts without hindering the workloads themselves.
The telecom sector in the United Kingdom is one of the industries that provide a significant opportunity for expansion for enterprises already in the field. The leading telecom operators are focusing on enhancing their infrastructure and delivering value-added services to boost the money they generate from the telecommunications industry. In recent times, participants have been putting in much effort to design a cloud computing architecture that can be combined with the imminent 5G infrastructure. Cloud-based telephony solutions are an absolute need to not only keep the firm's personnel linked with one another but also boost their productivity. In addition, it is projected that the rapidly expanding market for online shopping would bring in money for the telecommunications industry. This function provides telecom companies with a marketplace in which they may offer their wares in line with the desires of their customers.
The Germany market dominated the Europe AI Powered Storage Market by Country in 2021, achieving a market value of $4,430.7 million by 2028. The UK market is exhibiting a CAGR of 23.2% during (2022 - 2028). Additionally, The France market is poised to grow at a CAGR of 25.1% during (2022 - 2028).
Based on Component, the market is segmented into Hardware and Software. Based on Storage Architecture, the market is segmented into File & Object Based Storage and Object Storage. Based on Storage System, the market is segmented into Direct Attached Storage, Network Attached Storage and Storage Area Network. Based on Storage Medium, the market is segmented into Hard Disk Drive and Solid-State Drive. Based on End User, the market is segmented into Enterprises, Cloud Service Providers, Telecom Companies and Others. Based on Enterprises Type, the market is segmented into BFSI, Manufacturing, Media & Entertainment, Healthcare, Consumer Goods & Retail and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
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.
Building a successful AI-based storage infrastructure also requires addressing each of the three distinct phases in the AI storage pipeline, including data ingestion (the process of ingesting and normalizing the information from various environments so that users can glance across it as a whole), training (the process of utilizing machine learning to investigate the information to comprehend what's inside of it), and inference (the process of concluding what's really inside the data) (the stage of delivering insights).
Storage that is designated for AI workloads will unavoidably be required to carry out several essential tasks, such as identity and access management setups, dynamic management of file and resource rights, processing directives, and routing and load balancing schemes. Scalability and performance are two characteristics that must be present in AI storage. Period. The demands placed on workloads may change over time, and AI workload storage must be able to adjust to these shifts without hindering the workloads themselves.
The telecom sector in the United Kingdom is one of the industries that provide a significant opportunity for expansion for enterprises already in the field. The leading telecom operators are focusing on enhancing their infrastructure and delivering value-added services to boost the money they generate from the telecommunications industry. In recent times, participants have been putting in much effort to design a cloud computing architecture that can be combined with the imminent 5G infrastructure. Cloud-based telephony solutions are an absolute need to not only keep the firm's personnel linked with one another but also boost their productivity. In addition, it is projected that the rapidly expanding market for online shopping would bring in money for the telecommunications industry. This function provides telecom companies with a marketplace in which they may offer their wares in line with the desires of their customers.
The Germany market dominated the Europe AI Powered Storage Market by Country in 2021, achieving a market value of $4,430.7 million by 2028. The UK market is exhibiting a CAGR of 23.2% during (2022 - 2028). Additionally, The France market is poised to grow at a CAGR of 25.1% during (2022 - 2028).
Based on Component, the market is segmented into Hardware and Software. Based on Storage Architecture, the market is segmented into File & Object Based Storage and Object Storage. Based on Storage System, the market is segmented into Direct Attached Storage, Network Attached Storage and Storage Area Network. Based on Storage Medium, the market is segmented into Hard Disk Drive and Solid-State Drive. Based on End User, the market is segmented into Enterprises, Cloud Service Providers, Telecom Companies and Others. Based on Enterprises Type, the market is segmented into BFSI, Manufacturing, Media & Entertainment, Healthcare, Consumer Goods & Retail and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
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.
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 Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
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 Europe AI Powered Storage Market, by Component
1.4.2 Europe AI Powered Storage Market, by Storage Architecture
1.4.3 Europe AI Powered Storage Market, by Storage System
1.4.4 Europe AI Powered Storage Market, by Storage Medium
1.4.5 Europe AI Powered Storage Market, by End User
1.4.6 Europe AI Powered Storage Market, by Country
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. Europe AI Powered Storage Market by Component
4.1 Europe Hardware Market by Country
4.2 Europe Software Market by Country
Chapter 5. Europe AI Powered Storage Market by Storage Architecture
5.1 Europe File & Object Based Storage Market by Country
5.2 Europe Object Storage Market by Country
Chapter 6. Europe AI Powered Storage Market by Storage System
6.1 Europe Direct Attached Storage Market by Country
6.2 Europe Network Attached Storage Market by Country
6.3 Europe Storage Area Network Market by Country
Chapter 7. Europe AI Powered Storage Market by Storage Medium
7.1 Europe Hard Disk Drive Market by Country
7.2 Europe Solid State Drive Market by Country
Chapter 8. Europe AI Powered Storage Market by End User
8.1 Europe Enterprises Market by Country
8.2 Europe AI Powered Storage Market by Enterprises Type
8.2.1 Europe BFSI Market by Country
8.2.2 Europe Manufacturing Market by Country
8.2.3 Europe Media & Entertainment Market by Country
8.2.4 Europe Healthcare Market by Country
8.2.5 Europe Consumer Goods & Retail Market by Country
8.2.6 Europe Others Market by Country
8.3 Europe Cloud Service Providers Market by Country
8.4 Europe Telecom Companies Market by Country
8.5 Europe Others Market by Country
Chapter 9. Europe AI Powered Storage Market by Country
9.1 Germany AI Powered Storage Market
9.1.1 Germany AI Powered Storage Market by Component
9.1.2 Germany AI Powered Storage Market by Storage Architecture
9.1.3 Germany AI Powered Storage Market by Storage System
9.1.4 Germany AI Powered Storage Market by Storage Medium
9.1.5 Germany AI Powered Storage Market by End User
9.1.5.1 Germany AI Powered Storage Market by Enterprises Type
9.2 UK AI Powered Storage Market
9.2.1 UK AI Powered Storage Market by Component
9.2.2 UK AI Powered Storage Market by Storage Architecture
9.2.3 UK AI Powered Storage Market by Storage System
9.2.4 UK AI Powered Storage Market by Storage Medium
9.2.5 UK AI Powered Storage Market by End User
9.2.5.1 UK AI Powered Storage Market by Enterprises Type
9.3 France AI Powered Storage Market
9.3.1 France AI Powered Storage Market by Component
9.3.2 France AI Powered Storage Market by Storage Architecture
9.3.3 France AI Powered Storage Market by Storage System
9.3.4 France AI Powered Storage Market by Storage Medium
9.3.5 France AI Powered Storage Market by End User
9.3.5.1 France AI Powered Storage Market by Enterprises Type
9.4 Russia AI Powered Storage Market
9.4.1 Russia AI Powered Storage Market by Component
9.4.2 Russia AI Powered Storage Market by Storage Architecture
9.4.3 Russia AI Powered Storage Market by Storage System
9.4.4 Russia AI Powered Storage Market by Storage Medium
9.4.5 Russia AI Powered Storage Market by End User
9.4.5.1 Russia AI Powered Storage Market by Enterprises Type
9.5 Spain AI Powered Storage Market
9.5.1 Spain AI Powered Storage Market by Component
9.5.2 Spain AI Powered Storage Market by Storage Architecture
9.5.3 Spain AI Powered Storage Market by Storage System
9.5.4 Spain AI Powered Storage Market by Storage Medium
9.5.5 Spain AI Powered Storage Market by End User
9.5.5.1 Spain AI Powered Storage Market by Enterprises Type
9.6 Italy AI Powered Storage Market
9.6.1 Italy AI Powered Storage Market by Component
9.6.2 Italy AI Powered Storage Market by Storage Architecture
9.6.3 Italy AI Powered Storage Market by Storage System
9.6.4 Italy AI Powered Storage Market by Storage Medium
9.6.5 Italy AI Powered Storage Market by End User
9.6.5.1 Italy AI Powered Storage Market by Enterprises Type
9.7 Rest of Europe AI Powered Storage Market
9.7.1 Rest of Europe AI Powered Storage Market by Component
9.7.2 Rest of Europe AI Powered Storage Market by Storage Architecture
9.7.3 Rest of Europe AI Powered Storage Market by Storage System
9.7.4 Rest of Europe AI Powered Storage Market by Storage Medium
9.7.5 Rest of Europe AI Powered Storage Market by End User
9.7.5.1 Rest of Europe 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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