The Asia Pacific AI Powered Storage Market would witness market growth of 25.4% CAGR during the forecast period (2022-2028).
Artificial intelligence requires the processing and storing massive amounts of data in real-time, which must be done in the cloud environment. This data may then be accessed at a later time. This calls for a data storage system capable of great performance, adaptation, and flexibility. The requirement for machine learning and artificial intelligence is growing, which has increased the popularity of AI-powered storage. Furthermore, the usage of advanced analytics drives up the need for AI-powered storage, increasing the demand for corporate infrastructure. In addition, it is essential for the proliferation of linked devices and the digitalization of processes.
Artificial intelligence systems are required to analyze enormous volumes of data in a concise length of time. Because of this data volume, there is a considerable need for storage. A storage system that can expand without boundaries or auto-scale intelligently according to the requirements is necessary for managing huge data collections. With AI-enabled cloud storage, this is not a difficult feat to do at all.
Businesses that operate in various end-user industries are gradually implementing these technologies to better understand their customers' requirements and ensure that their existing offerings meet those requirements. This allows these businesses to stay one step ahead of their rivals and maintain their position as market leaders. In today's fiercely competitive market, cloud-based technology, sophisticated analytics, and automation have all established themselves as crucial tools for delivering a highly personalized customer experience and cultivating brand loyalty. Because of these factors, it is anticipated that the AI-powered storage market will significantly develop in the APAC region.
The China market dominated the Asia Pacific AI Powered Storage Market by Country in 2021, achieving a market value of $5,335.2 million by 2028. The Japan market would grow at a CAGR of 24.6% during (2022 - 2028). Additionally, The India market is showcasing a CAGR of 26.1% 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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
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.
Artificial intelligence requires the processing and storing massive amounts of data in real-time, which must be done in the cloud environment. This data may then be accessed at a later time. This calls for a data storage system capable of great performance, adaptation, and flexibility. The requirement for machine learning and artificial intelligence is growing, which has increased the popularity of AI-powered storage. Furthermore, the usage of advanced analytics drives up the need for AI-powered storage, increasing the demand for corporate infrastructure. In addition, it is essential for the proliferation of linked devices and the digitalization of processes.
Artificial intelligence systems are required to analyze enormous volumes of data in a concise length of time. Because of this data volume, there is a considerable need for storage. A storage system that can expand without boundaries or auto-scale intelligently according to the requirements is necessary for managing huge data collections. With AI-enabled cloud storage, this is not a difficult feat to do at all.
Businesses that operate in various end-user industries are gradually implementing these technologies to better understand their customers' requirements and ensure that their existing offerings meet those requirements. This allows these businesses to stay one step ahead of their rivals and maintain their position as market leaders. In today's fiercely competitive market, cloud-based technology, sophisticated analytics, and automation have all established themselves as crucial tools for delivering a highly personalized customer experience and cultivating brand loyalty. Because of these factors, it is anticipated that the AI-powered storage market will significantly develop in the APAC region.
The China market dominated the Asia Pacific AI Powered Storage Market by Country in 2021, achieving a market value of $5,335.2 million by 2028. The Japan market would grow at a CAGR of 24.6% during (2022 - 2028). Additionally, The India market is showcasing a CAGR of 26.1% 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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
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
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
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 Asia Pacific AI Powered Storage Market, by Component
1.4.2 Asia Pacific AI Powered Storage Market, by Storage Architecture
1.4.3 Asia Pacific AI Powered Storage Market, by Storage System
1.4.4 Asia Pacific AI Powered Storage Market, by Storage Medium
1.4.5 Asia Pacific AI Powered Storage Market, by End User
1.4.6 Asia Pacific 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. Asia Pacific AI Powered Storage Market by Component
4.1 Asia Pacific Hardware Market by Country
4.2 Asia Pacific Software Market by Country
Chapter 5. Asia Pacific AI Powered Storage Market by Storage Architecture
5.1 Asia Pacific File & Object Based Storage Market by Country
5.2 Asia Pacific Object Storage Market by Country
Chapter 6. Asia Pacific AI Powered Storage Market by Storage System
6.1 Asia Pacific Direct Attached Storage Market by Country
6.2 Asia Pacific Network Attached Storage Market by Country
6.3 Asia Pacific Storage Area Network Market by Country
Chapter 7. Asia Pacific AI Powered Storage Market by Storage Medium
7.1 Asia Pacific Hard Disk Drive Market by Country
7.2 Asia Pacific Solid State Drive Market by Country
Chapter 8. Asia Pacific AI Powered Storage Market by End User
8.1 Asia Pacific Enterprises Market by Country
8.2 Asia Pacific AI Powered Storage Market by Enterprises Type
8.2.1 Asia Pacific BFSI Market by Country
8.2.2 Asia Pacific Manufacturing Market by Country
8.2.3 Asia Pacific Media & Entertainment Market by Country
8.2.4 Asia Pacific Healthcare Market by Country
8.2.5 Asia Pacific Consumer Goods & Retail Market by Country
8.2.6 Asia Pacific Others Market by Country
8.3 Asia Pacific Cloud Service Providers Market by Country
8.4 Asia Pacific Telecom Companies Market by Country
8.5 Asia Pacific Others Market by Country
Chapter 9. Asia Pacific AI Powered Storage Market by Country
9.1 China AI Powered Storage Market
9.1.1 China AI Powered Storage Market by Component
9.1.2 China AI Powered Storage Market by Storage Architecture
9.1.3 China AI Powered Storage Market by Storage System
9.1.4 China AI Powered Storage Market by Storage Medium
9.1.5 China AI Powered Storage Market by End User
9.1.5.1 China AI Powered Storage Market by Enterprises Type
9.2 Japan AI Powered Storage Market
9.2.1 Japan AI Powered Storage Market by Component
9.2.2 Japan AI Powered Storage Market by Storage Architecture
9.2.3 Japan AI Powered Storage Market by Storage System
9.2.4 Japan AI Powered Storage Market by Storage Medium
9.2.5 Japan AI Powered Storage Market by End User
9.2.5.1 Japan AI Powered Storage Market by Enterprises Type
9.3 India AI Powered Storage Market
9.3.1 India AI Powered Storage Market by Component
9.3.2 India AI Powered Storage Market by Storage Architecture
9.3.3 India AI Powered Storage Market by Storage System
9.3.4 India AI Powered Storage Market by Storage Medium
9.3.5 India AI Powered Storage Market by End User
9.3.5.1 India AI Powered Storage Market by Enterprises Type
9.4 South Korea AI Powered Storage Market
9.4.1 South Korea AI Powered Storage Market by Component
9.4.2 South Korea AI Powered Storage Market by Storage Architecture
9.4.3 South Korea AI Powered Storage Market by Storage System
9.4.4 South Korea AI Powered Storage Market by Storage Medium
9.4.5 South Korea AI Powered Storage Market by End User
9.4.5.1 South Korea AI Powered Storage Market by Enterprises Type
9.5 Singapore AI Powered Storage Market
9.5.1 Singapore AI Powered Storage Market by Component
9.5.2 Singapore AI Powered Storage Market by Storage Architecture
9.5.3 Singapore AI Powered Storage Market by Storage System
9.5.4 Singapore AI Powered Storage Market by Storage Medium
9.5.5 Singapore AI Powered Storage Market by End User
9.5.5.1 Singapore AI Powered Storage Market by Enterprises Type
9.6 Malaysia AI Powered Storage Market
9.6.1 Malaysia AI Powered Storage Market by Component
9.6.2 Malaysia AI Powered Storage Market by Storage Architecture
9.6.3 Malaysia AI Powered Storage Market by Storage System
9.6.4 Malaysia AI Powered Storage Market by Storage Medium
9.6.5 Malaysia AI Powered Storage Market by End User
9.6.5.1 Malaysia AI Powered Storage Market by Enterprises Type
9.7 Rest of Asia Pacific AI Powered Storage Market
9.7.1 Rest of Asia Pacific AI Powered Storage Market by Component
9.7.2 Rest of Asia Pacific AI Powered Storage Market by Storage Architecture
9.7.3 Rest of Asia Pacific AI Powered Storage Market by Storage System
9.7.4 Rest of Asia Pacific AI Powered Storage Market by Storage Medium
9.7.5 Rest of Asia Pacific AI Powered Storage Market by End User
9.7.5.1 Rest of Asia Pacific 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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