AI-powered Storage Market by Offering (Hardware, Software), Storage System (DAS, NAS, SAN), Storage Architecture (File & Object-Based Storage), Storage Medium (SSD, HDD), & End User (Enterprises, CSP, Government, Telecom) - Global Forecast to 2024
The AI-powered storage market report share is estimated to be USD 10.4 billion in 2019 and expected to reach USD 34.5 billion by 2024, at a CAGR of 27.1%. from 2019 to 2024
Massive growth in data volumes, need for global enterprise infrastructure to refresh their storage architecture, increasing adoption of cloud-based services, and growing demand for AI in HPC data centers have created a huge demand for AI-powered storage solutions.
AI-powered Storage Market Segment Overview
AI-powered storage market for storage area networkis expected to hold largest size during forecast period
SAN storage systems facilitate the pooling of storage among datacenters. The demand for these systems is expected to grow among small- and mid-sized companies owing to their decreasing implementation costs. Additionally, they also contribute to the virtualization of datacenters, which further leads to a high demand for these storage system types. As many companies have started utilizing cloud-based services to store their data with the use of virtual servers, companies aim to expand their storage capacities beyond existing infrastructural capabilities to meet the demand for AI-enabled applications and workloads.
AI-powered storage market for BFSI is expected to hold largest size during forecast period
The major objectives of AI in the BFSI sector are to provide personalized customer experience, faster turn-around-time, error-free back-end processes, which run without human intervention, and security and compliance. In the finance sector, decisions about loans are now being made by software that can take into account a variety of finely parsed data about a borrower, rather than just a credit score and a background check. In addition, there are also robo-advisors that create personalized investment portfolios.
The BFSI sector is embracing advanced analytics and at the same time increasing compliances and government regulations, thereby, raising the demand for high-level data storage capabilities and leveraging the AI-powered storage market.
AI-powered storage market in APAC is expected to grow at highest CAGR during forecast period
The AI-powered storage market in APAC is expected to grow at the highest CAGR during the forecast period. This market is further divided into China, India, South Korea, Japan, and the Rest of APAC. The Rest of APAC primarily includes Australia, New Zealand, Vietnam, and Indonesia. China is the largest market among all APAC countries. Enterprises in China are adopting the latest technologies to sustain in the global market competition.
Government policies in China are also promoting the adoption of AI-powered storage systems. Further, the market for connected devices is booming, thereby, generating a large amount of digital data. All these factors are driving the growth of the AI-powered storage market in the country.
Key Market Players In AI-powered Storage Market
Intel Corporation (US), NVIDIA Corporation (US), IBM (US), Samsung Electronics (South Korea), Pure Storage (US), NetApp (US), Micron Technology (US), CISCO (US), Toshiba (Japan), Lenovo (China), Dell Technologies (US), and HPE (US) are a few major players in the AI-powered storage market.
AI-powered Storage Market Report Scope :
|
Report Metric |
Details |
| Market Size Value in 2019 | USD 10.4 Billion |
| Revenue Forecast in 2024 | USD 34.5 Billion |
| Growth Rate | 27.1% |
|
Forecast period |
2019–2024 |
|
Market size available for years |
2016–2024 |
|
Base year considered |
2018 |
|
Segments covered |
|
|
Regions covered |
|
|
Market Leaders |
|
| Top Companies in North America |
|
| Largest Growing Region | North America |
| Largest Market Share Segment | Hardware segment |
In this report, the AI-powered storage market has been segmented into the following categories:
On the basis of Offering, the AI-powered storage market has been segmented as follows:
- Hardware
- Software
On the basis of Storage System, the AI-powered storage market has been segmented as follows:
- Direct-attached Storage (DAS)
- Network-attached Storage (NAS)
- Storage Area Network (SAN)
On the basis of Storage Architecture, the AI-powered storage market has been segmented as follows:
- File- and Object-Based Storage
- Object Storage
On the basis of Storage Medium, the AI-powered storage market has been segmented as follows:
- Hard Disk Drive (HDD)
- Solid State Drive (SSD)
On the basis of End User, the AI-powered storage market has been segmented as follows:
- Enterprises
- Government Bodies
- Cloud Service Providers
- Telecom Companies
On the basis of Region, the AI-powered storage market has been segmented as follows:
-
North America
- US
- Canada
- Mexico
-
Europe
- UK
- Germany
- France
- Rest of Europe
-
APAC
- China
- Japan
- India
- South Korea
- Rest of APAC
-
RoW
- Middle East & Africa (MEA)
- South America
Major strategies identified in global market include following:
- Product Launches
- Partnerships
- Acquisitions
Critical questions the report answers:
- Where will all these developments take the industry in the mid to long term?
- What are the drivers, challenges, restraints, and opportunities pertaining to the growth of the AI-powered storage market?
- Which hardware components are expected to be used widely to build AI-powered storage systems?
- What are the upcoming end-users for AI-powered storage systems?
- Which regions will showcase the growth of the AI-powered storage market?
Frequently Asked Questions (FAQ):
Which are the major companies in the market? What are their major strategies to strengthen their market presence?
Hewlett Packard Enterprise (HPE), Dell Technologies, IBM, Pure Storage are some of the major players in AI-powered storage market. Product launches is one of the key strategies adopted by these players. Apart from launches, these players have announced partnerships to provide solutions across a variety of applications and industries.
What are the drivers for the AI-powered storage market?
Factors such as massive growth in data volumes, need for global enterprise infrastructure to refresh their storage architecture, increasing adoption of cloud-based services, and growing demand for AI in HPC data centers are fueling the growth of the Ai-powered storage market.
Which end users are expected to drive the growth of the market in the next 5 years?
The market for the Cloud Service Provider (CSP) is expected to grow at the highest CAGR during the forecast period. The CSPs aggregate customer's edge device and sensor data, blend it with other data sources, and apply big data analytics to deliver insights. This data ensures proper infrastructure for their storage hence drives the opportunity for AI-powered storage.
Which region is expected to witness significant demand for AI-powered storage in the coming years?
The AI-powered storage market in APAC is foreseen to augment at a significant rate owing to heavy reliant on manufacturing by the countries in the region. Apart from this, enterprises in countries like China, Japan, South Korea are adopting latest technologies like artificial intelligence to sustain in the global market competition and hence driving the AI-powered storage market in the region
What are the major applications in enterprises?
The healthcare application in enterprises is expected to grow with highest CAGR due to various benefits of this technology which includes automating tasks and analyzing patient data sets to deliver faster service at low cost. The BFSI sectors has advantages like personalized customer experience, faster turn-around time, security and compliance, error-free back end processes which run without human intervention. .
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
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Table of Contents
1 Introduction (Page No. - 18)
1.1 Study Objectives
1.2 Market Definition and Scope
1.2.1 Inclusions and Exclusions
1.3 Study Scope
1.3.1 Markets Covered
1.3.2 Geographic Scope
1.3.3 Years Considered
1.4 Currency
1.5 Limitations
1.6 Stakeholders
2 Research Methodology (Page No. - 23)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 List of Major Secondary Sources
2.1.1.2 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key Data From Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumptions
3 Executive Summary (Page No. - 31)
4 Premium Insights (Page No. - 35)
4.1 Attractive Opportunities in AI-Powered Stoarge Market
4.2 AI-Powered Storage Market, By Offering
4.3 Market, By End User
4.4 AI-Powered Storage Market, By Storage System
4.5 Market, By Region
5 Market Overview (Page No. - 38)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Massive Growth in Data Volumes
5.2.1.2 Need for Global Enterprise Infrastructure to Refresh Their Storage Architecture
5.2.1.3 Increasing Adoption of Cloud-Based Services
5.2.1.4 Growing Demand for AI in HPC Data Centers
5.2.2 Restraints
5.2.2.1 Limited Expertise in AI Hardware
5.2.2.2 Lack of Data Security in Cloud- and Server-Based Services
5.2.3 Opportunities
5.2.3.1 Growing Number of Cross-Industry Partnerships and Collaborations
5.2.3.2 Availability and Rapid Development of Useful Data Analysis Tools
5.2.4 Challenges
5.2.4.1 Unreliability of AI Algorithms
5.2.4.2 Concerns Regarding Data Privacy
6 AI-Powered Storage Market, By Offering (Page No. - 47)
6.1 Introduction
6.2 Hardware
6.2.1 Storage Medium
6.2.1.1 SSD
6.2.1.2 HDD
6.2.2 Other Hardware
6.2.2.1 CPU
6.2.2.2 GPU
6.3 Software
7 AI-Powered Storage Market, By Storage System (Page No. - 55)
7.1 Introduction
7.2 Direct-Attached Storage Systems
7.2.1 Exisiting Storage Architecture Can Be Easily Accessed Using DAS Systems
7.3 Network-Attached Storage Systems
7.3.1 Multiple Client Access Feature Increases Demand for Nas Storage Systems
7.4 Storage Area Network
7.4.1 San Storage Systems Provide Multinent Environment Through Storage Virtualization
8 AI-Powered Storage Market, By Storage Architecture (Page No. - 63)
8.1 Introduction
8.2 File- and Object-Based Storage
8.2.1 File Storage
8.2.1.1 File Storage Architecture Provides Benefits Including Uniformity While Storing Data and While Retrieving It
8.2.2 Object Storage
8.2.2.1 Object-Based Storage Can Be Retrieved Exactly in Same Way Irrespective of Their Location
8.3 Block Storage
8.3.1 Block Storage Architecture is Used to Store Files for Special Applications Such as Virtual Machine File Systems
9 AI-Powered Storage Market, By Storage Medium (Page No. - 67)
9.1 Introduction
9.2 Hard Disk Drive
9.2.1 Lower Cost of HDD is Major Reason for Its High Adoption
9.3 Solid State Drive
9.3.1 All-Flash Arrays
9.3.1.1 Low Maintenance and Faster Response are Key Features of All-Flash Arrays
9.3.2 Hybrid Flash Arrays
9.3.2.1 Balanced Cost and Good Performance are Main Reasons for High Adoption of Hybrid Flash Arrays
10 AI-Powered Storage Market, By End User (Page No. - 70)
10.1 Introduction
10.2 Enterprises
10.2.1 BFSI
10.2.1.1 BFSI Sector is Adopting AI Technology to Cut Short Tedious Tasks Including Loan Application Approvals
10.2.2 Healthcare
10.2.2.1 Healthcare Sector is Adopting This Technology to Automate Tasks and Analyse Patient Data Sets for Faster Delivery
10.2.3 Media and Entertainment
10.2.3.1 This Sector is Adopting AI-Powered Storage Systems for Storing, Managing, and Distributing Huge Data Collections
10.2.4 Retail
10.2.4.1 Retail Companies are Bridging Gap Between Virtual and Physical Sale Channels Through AI Technology
10.2.5 Consumer Goods
10.2.5.1 Consumer Goods Sector Adopts AI Technology Owing to Development in Smart Retailing
10.2.6 Manufacturing
10.2.6.1 This Sector Uses AI Technology to Optimize Manufacturing Supply Chains and Anticipate Market Changes
10.2.7 Other Enterprises
10.2.7.1 Aerospace and Defense
10.2.7.2 Business and Consulting
10.2.7.3 Education and Research
10.2.7.4 Energy
10.3 Government Bodies
10.3.1 Government Bodies Use This Technology for Public Policy Objectives Including Health and Welfare and Emergency Services
10.4 Cloud Service Providers
10.4.1 Cloud Service Providers Use AI-Powered Storage for Data Management and Analysis
10.5 Telecom Companies
10.5.1 Telecom Companies Use AI Technology to Enhance Customer Experience and Improve Netwrok Reliability
11 AI-Powered Storage Market, By Region (Page No. - 85)
11.1 Introduction
11.2 North America
11.2.1 US
11.2.1.1 Presence of Leading Data Storage Companies in US to Continue to Drive Growth of AI-Powered Storage Market
11.2.2 Canada
11.2.2.1 Various Funding Activities and Other Initiatives to Fuel Canadian Market Growth
11.2.3 Mexico
11.2.3.1 Growing Penetration of AI in Manufacturing and Healthcare Industries to Propel Mexican Market
11.3 Europe
11.3.1 UK
11.3.1.1 Adoption of Data Storage Services in Banking and Telecom Industries to Drive Market in UK
11.3.2 Germany
11.3.2.1 Adoption of Cloud Computing and Industry 4.0 has Created Increased Demand for AI-Powered Storage Systems in Germany
11.3.3 France
11.3.3.1 Funding Activities By French Government in Education, Research, and Government Bodies to Continue to Fuel Market Growth
11.3.4 Rest of Europe
11.3.4.1 Russia, Norway, Sweden, Switzerland, and Spain Drive AI-Powered Storage Market Growth in Region
11.4 APAC
11.4.1 China
11.4.1.1 Adoption of Latest Technologies By Enterprises in China is Escalating Market Growth
11.4.2 Japan
11.4.2.1 Contribution By Small and Medium Enterprises Drive Growth of Japanese Market
11.4.3 India
11.4.3.1 Growing Adoption of Cloud-Based Services to have Positive Impact on Indian AI-Powered Storage Market
11.4.4 South Korea
11.4.4.1 Adoption of AI Applications for Robotics and Automotive Sectors are Escalating Growth of South Korean Market
11.4.5 Rest of APAC
11.4.5.1 Australia, Indonesia, Thailand are Major Countries Responsible for Growth in Rest of APAC
11.5 RoW
11.5.1 Middle East and Africa
11.5.1.1 Rise in Demand for Data Storage in Industries Such as Energy, and Oil & Gas is Resulting in Market Growth in This Region
11.5.2 South America
11.5.2.1 Brazil and Argentina are Driving Growth of Market in Region
12 Competitive Landscape (Page No. - 118)
12.1 Overview
12.2 Market Ranking Analysis
12.3 Competitive Leadership Mapping, 2018
12.3.1 Visionary Leaders
12.3.2 Dynamic Differentiators
12.3.3 Innovators
12.3.4 Emerging Companies
12.4 Competitive Scenario
12.4.1 Product Launches and Developments
12.4.2 Partnerships, Contracts, Acquisitions, and Agreements
13 Company Profiles (Page No. - 126)
(Business Overview, Products, Solutions, and Services offered, Recent Developments, SWOT Analysis, and MnM View)*
13.1 Key Players
13.1.1 Dell Technologies
13.1.2 Hewlett Packard Enterprise (HPE) Company
13.1.3 IBM
13.1.4 NVIDIA Corporation
13.1.5 Pure Storage
13.1.6 Intel Corporation
13.1.7 Netapp
13.1.8 Samsung Electronics
13.1.9 Micron Technology
13.1.10 Cisco
13.1.11 Advanced Micro Devices (AMD)
13.1.12 Toshiba
13.1.13 Hitachi
13.1.14 Lenovo
13.2 Right-To-Win
13.3 Other Key Players
13.3.1 Datadirect Network
13.3.2 Seagate Technology PLC
13.3.3 Flextronics International
13.3.4 Western Digital
13.3.5 Fujitsu
13.3.6 Tintri
*Details on Business Overview, Products, Solutions, and Services offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.
14 Appendix (Page No. - 179)
14.1 Insights of Industry Experts
14.2 Discussion Guide
14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.4 Available Customizations
14.5 Related Reports
14.6 Author Details
List of Tables (123 Tables)
Table 1 Average Number of Connected Devices Per Capita
Table 2 AI-Powered Storage Market, By Offering, 2016–2024 (USD Billion)
Table 3 Market for Hardware, By Region, 2016–2024 (USD Billion)
Table 4 Market for Hardware in North America, By Country, 2016–2024 (USD Billion)
Table 5 Market for Hardware in Europe, By Country, 2016–2024 (USD Million)
Table 6 Market for Hardware in APAC, By Country, 2016–2024 (USD Million)
Table 7 Market for Hardware in RoW, By Region, 2016–2024 (USD Million)
Table 8 Market for Software, By Region, 2016–2024 (USD Million)
Table 9 Market for Software in North America, By Country, 2016–2024 (USD Million)
Table 10 Market for Software in Europe, By Country, 2016–2024 (USD Million)
Table 11 Market for Software in APAC, By Country, 2016–2024 (USD Million)
Table 12 Market for Software in RoW, By Region, 2016–2024 (USD Million)
Table 13 Market, By Storage System, 2016–2024 (USD Billion)
Table 14 Market for Direct-Attached Storage Systems, By End User, 2016–2024 (USD Million)
Table 15 Market for Direct-Attcahed Storage Systems, By Enterprise Type, 2016–2024 (USD Million)
Table 16 Market for Network-Attached Storage Systems, By End User, 2016–2024 (USD Million)
Table 17 Market for Network-Attached Storage Systems, By Enterprise Type, 2016–2024 (USD Million)
Table 18 Market for Storage Area Network, By End User, 2016–2024 (USD Million)
Table 19 Market for Storage Area Network, By Enterprise Type, 2016–2024 (USD Million)
Table 20 Market, By Storage Architecture, 2016–2024 (USD Billion)
Table 21 Market for File- and Object-Based Storage, 2016–2024 (USD Billion)
Table 22 Market, By Storage Medium, 2016–2024 (USD Billion)
Table 23 Market, By End User, 2016–2024 (USD Billion)
Table 24 Market, By Enterprise Type, 2016–2024 (USD Million)
Table 25 Market for Enterprises, By Region, 2016–2024 (USD Billion)
Table 26 Market for Enterprises, By Storage System, 2016–2024 (USD Billion)
Table 27 Market for BFSI, By Storage System, 2016–2024 (USD Million)
Table 28 Market for BFSI, By Region, 2016–2024 (USD Million)
Table 29 Market for Healthcare, By Storage System, 2016–2024 (USD Million)
Table 30 Market for Healthcare, By Region, 2016–2024 (USD Million)
Table 31 Market for Media and Entertainment, By Storage System, 2016–2024 (USD Million)
Table 32 Market for Media and Entertainment, By Region, 2016–2024 (USD Million)
Table 33 Market for Retail, By Storage System, 2016–2024 (USD Million)
Table 34 Market for Retail, By Region, 2016–2024 (USD Million)
Table 35 Market for Consumer Goods, By Storage System, 2016–2024 (USD Million)
Table 36 Market for Consumer Goods, By Region, 2016–2024 (USD Million)
Table 37 AI-Powered Stoarge Market for Manufacturing, By Storage System, 2016–2024 (USD Million)
Table 38 Market for Manufacturing, By Region, 2016–2024 (USD Million)
Table 39 Market for Other Enterprises, By Storage System, 2016–2024 (USD Million)
Table 40 Market for Other Enterprises, By Region, 2016–2024 (USD Million)
Table 41 Market for Government Bodies, By Storage System, 2016–2024 (USD Million)
Table 42 Market for Government Bodies, By Region, 2016–2024 (USD Million)
Table 43 Market for Cloud Service Providers, By Storage System, 2016–2024 (USD Billion)
Table 44 Market for Cloud Service Providers, By Region, 2016–2024 (USD Billion)
Table 45 AI-Powered Storage System for Telecom Companies, By Storage System, 2016–2024 (USD Million)
Table 46 Market for Telecom Companies, By Region, 2016–2024 (USD Million)
Table 47 Market, By Region, 2016–2024 (USD Billion)
Table 48 Market in North America, By Country, 2016–2024 (USD Billion)
Table 49 Market in North America, By End User, 2016–2024 (USD Billion)
Table 50 Market in North America, By Enterprise Type, 2016–2024 (USD Million)
Table 51 Market in North America for Enterprises, By Country, 2016–2024 (USD Million)
Table 52 Market in North America for BFSI, By Country, 2016–2024 (USD Million)
Table 53 Market in North America for Healthcare, By Country, 2016–2024 (USD Million)
Table 54 Market in North America for Media and Entertainment, By Country, 2016–2024 (USD Million)
Table 55 Market in North America for Retail, By Country, 2016–2024 (USD Million)
Table 56 Market in North America for Consumer Goods, By Country, 2016–2024 (USD Million)
Table 57 Market in North America for Manufacturing, By Country, 2016–2024 (USD Million)
Table 58 Market in North America for Other Enterprises, By Country, 2016–2024 (USD Million)
Table 59 Market in North America for Government Bodies, By Country, 2016–2024 (USD Million)
Table 60 Market in North America for Cloud Service Providers, By Country, 2016–2024 (USD Million)
Table 61 Market in North America for Telecom Companies, By Country, 2016–2024 (USD Million)
Table 62 Market in North America, By Offering, 2016–2024 (USD Billion)
Table 63 Market in Us, By Offering, 2016–2024 (USD Million)
Table 64 Market in Canada, By Offering, 2016–2024 (USD Million)
Table 65 Market in Mexico, By Offering, 2016–2024 (USD Million)
Table 66 Market in Europe, By Country, 2016–2024 (USD Billion)
Table 67 Market in Europe, By End User, 2016–2024 (USD Billion)
Table 68 Market in Europe, By Enterprise Type, 2016–2024 (USD Million)
Table 69 Market in Europe for Enterprises, By Country, 2016–2024 (USD Million)
Table 70 Market in Europe for BFSI, By Country, 2016–2024 (USD Million)
Table 71 Market in Europe for Healthcare, By Country, 2016–2024 (USD Million)
Table 72 Market in Europe for Media and Entertainment, By Country, 2016–2024 (USD Million)
Table 73 Market in Europe for Retail, By Country, 2016–2024 (USD Million)
Table 74 Market in Europe for Consumer Goods, By Country, 2016–2024 (USD Million)
Table 75 Market in Europe for Manufacturing, By Country, 2016–2024 (USD Million)
Table 76 Market in Europe for Other Enterprises, By Country, 2016–2024 (USD Million)
Table 77 Market in Europe for Government Bodies, By Country, 2016–2024 (USD Million)
Table 78 Market in Europe for Cloud Service Providers, By Country, 2016–2024 (USD Million)
Table 79 Market in Europe for Telecom Companies, By Country, 2016–2024 (USD Million)
Table 80 Market in Europe, By Offering, 2016–2024 (USD Billion)
Table 81 Market in Uk, By Offering, 2016–2024 (USD Million)
Table 82 Market in Germany, By Offering, 2016–2024 (USD Million)
Table 83 Market in France, By Offering, 2016–2024 (USD Million)
Table 84 Market in Rest of Europe, By Offering, 2016–2024 (USD Million)
Table 85 Market in APAC, By Country, 2016–2024 (USD Million)
Table 86 Market in APAC, By End User, 2016–2024 (USD Billion)
Table 87 Market in APAC, By Enterprise Type, 2016–2024 (USD Million)
Table 88 Market in APAC for Enterprises, By Country, 2016–2024 (USD Million)
Table 89 Market in APAC for BFSI, By Country, 2016–2024 (USD Million)
Table 90 Market in APAC for Healthcare, By Country, 2016–2024 (USD Million)
Table 91 Market in APAC for Media and Entertainment, By Country, 2016–2024 (USD Million)
Table 92 Market in APAC for Retail, By Country, 2016–2024 (USD Million)
Table 93 Market in APAC for Consumer Goods, By Country, 2016–2024 (USD Million)
Table 94 Market in APAC for Manufacturing, By Country, 2016–2024 (USD Million)
Table 95 Market in APAC for Other End Users, By Country, 2016–2024 (USD Million)
Table 96 Market in APAC for Government Bodies, By Country, 2016–2024 (USD Million)
Table 97 Market in APAC for Cloud Service Providers, By Country, 2016–2024 (USD Million)
Table 98 Market in APAC for Telecom Companies, By Country, 2016–2024 (USD Million)
Table 99 Market in APAC, By Offering, 2016–2024 (USD Billion)
Table 100 AI-Powered Storage Market in China, By Offering, 2016–2024 (USD Million)
Table 101 Market in Japan, By Offering, 2016–2024 (USD Million)
Table 102 Market in India, By Offering, 2016–2024 (USD Million)
Table 103 Market in South Korea, By Offering, 2016–2024 (USD Million)
Table 104 Market in Rest of APAC, By Offering, 2016–2024 (USD Million)
Table 105 Market in RoW, By Region, 2016–2024 (USD Billion)
Table 106 Market in RoW, By End User, 2016–2024 (USD Million)
Table 107 Market in RoW, By Enterprise Type, 2016–2024 (USD Million)
Table 108 Market in RoW for Enterprises, By Region, 2016–2024 (USD Million)
Table 109 Market in RoW for BFSI, By Region, 2016–2024 (USD Million)
Table 110 Market in RoW for Healthcare, By Region, 2016–2024 (USD Million)
Table 111 Market in RoW for Media and Entertainment, By Region, 2016–2024 (USD Million)
Table 112 Market in RoW for Retail, By Region, 2016–2024 (USD Million)
Table 113 Market in RoW for Consumer Goods, By Region, 2016–2024 (USD Million)
Table 114 Market in RoW for Manufacturing, By Region, 2016–2024 (USD Million)
Table 115 Market in RoW for Other Enterprises, By Region, 2016–2024 (USD Million)
Table 116 Market in RoW for Government Bodies, By Region, 2016–2024 (USD Million)
Table 117 Market in RoW for Cloud Service Providers, By Region, 2016–2024 (USD Million)
Table 118 Market in RoW for Telecom Companies, By Region, 2016–2024 (USD Million)
Table 119 Market in RoW, By Offering, 2016–2024 (USD Million)
Table 120 Market in Middle East and Africa, By Offering, 2016–2024 (USD Million)
Table 121 Market in South America, By Offering, 2016–2024 (USD Million)
Table 122 10 Most Recent Product Launches in Market
Table 123 10 Most Recent Partnerships, Contracts, Acquisitions, and Agreements in AI-Powered Storage Market
List of Figures (56 Figures)
Figure 1 AI-Powered Storage Market Segmentation
Figure 2 Market: Research Design
Figure 3 Bottom-Up Approach
Figure 4 Top-Down Approach
Figure 5 Data Triangulation
Figure 6 Assumptions of Research Study
Figure 7 Market for DAS, By Storage System, 2019 vs 2024 (USD Billion)
Figure 8 SSD to Hold Larger Market Size in 2019
Figure 9 Market, By Enterprise Type, 2019 vs 2024 (USD Million)
Figure 10 China to Hold Largest Size of Market in APAC in 2024
Figure 11 Market, By Region, 2019–2024
Figure 12 Market in APAC to Grow at Highest CAGR During 2019–2025
Figure 13 Hardware to Account for Larger Size of Market in 2024
Figure 14 Market for Cloud Service Providers to Grow Fastest During Forecast Period
Figure 15 San to Hold Largest Size of Market in 2024
Figure 16 India to Exhibit Highest CAGR in Market During Forecast Period
Figure 17 AI-Powered Storage Market: Drivers, Restraints, Opportunities, and Challenges
Figure 18 Market Drivers and Their Impact
Figure 19 Market Restraints and Their Impact
Figure 20 Market Restraints and Their Impact
Figure 21 Market Challenges and Their Impact
Figure 22 Percentage and Types of Healthcare Breaches Reported By US Department of Health and Human Services
Figure 23 Hardware Held Larger Size of Market in 2018
Figure 24 APAC to Witness Fastest Growth in Market for Hardware During Forecast Period
Figure 25 San Systems to Hold Largest Size of Market in 2024
Figure 26 Direct-Attached Storage System Market for Cloud Service Providers to Grow at Highest CAGR During Forecast Period
Figure 27 Network-Attached Storage Market for Cloud Service Providers to Grow at Highest CAGR During Forecast Period
Figure 28 Storage Area Network Market for Cloud Service Providers to Grow at Highest CAGR During Forecast Period
Figure 29 File- and Object-Based Storage to Hold Larger Size of Market in 2024
Figure 30 SSD to Hold Larger Size of Market in 2024
Figure 31 Cloud Service Providers to Hold Largest Size of Market in 2019
Figure 32 BFSI to Hold Largest Size of Market in 2019
Figure 33 Geographic Snapshot of Market
Figure 34 North America: Market Snapshot
Figure 35 US to Hold Largest Size of Market in North America in 2019
Figure 36 Europe: Market Snapshot
Figure 37 APAC: Market Snapshot
Figure 38 China to Hold Largest Size of Market in APAC in 2024
Figure 39 RoW: AI-Powered Storage Market Snapshot
Figure 40 Companies in Market Adopted Product Launches as Key Growth Strategy From 2017 to 2019
Figure 41 Top 5 Players in AI-Powered Storage Market
Figure 42 Market (Global) Competitive Leadership Mapping, 2018
Figure 43 Dell Technologies: Company Snapshot
Figure 44 HPE: Company Snapshot
Figure 45 IBM: Company Snapshot
Figure 46 NVIDIA Corporation: Company Snapshot
Figure 47 Pure Storage: Company Snapshot
Figure 48 Intel Corporation: Company Snapshot
Figure 49 Netapp: Company Snapshot
Figure 50 Samsung Electronics: Company Snapshot
Figure 51 Micron Technology: Company Snapshot
Figure 52 Cisco: Company Snapshot
Figure 53 Advanced Micro Devices (AMD): Company Snapshot
Figure 54 Toshiba: Company Snapshot
Figure 55 Hitachi: Company Snapshot
Figure 56 Lenovo: Company Snapshot
The study involved 4 major activities to estimate the current size of the AI-powered storage market. Exhaustive secondary research was done to collect information on the market, including the peer market and the parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both, top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation methods were used to estimate the market size of segments and subsegments.
Secondary Research
The research methodology used to estimate and forecast the AI-powered storage market begins with capturing data on revenues of the key vendors in the market through secondary research. This study involves the use of extensive secondary sources, directories, and databases such as Hoovers, Bloomberg Businessweek, Factiva, and OneSource to identify and collect information useful for the technical and commercial study of the AI-powered storage market. Moreover, secondary sources include annual reports, press releases, and investor presentations of companies; white papers, certified publications, and articles from recognized authors; directories; and databases. Secondary research has been mainly done to obtain key information about the industry’s supply chain, the market’s value chain, the total pool of key players, market classification and segmentation according to industry trends, geographic markets, and key developments from both market- and technology-oriented perspectives.
Primary Research
In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain the qualitative and quantitative information relevant to the AI-powered storage market. Primary sources from the supply side include experts such as CEOs, vice presidents, marketing directors, technology and innovation directors, application developers, application users, and related executives from various key companies and organizations operating in the ecosystem of the AI-powered storage market.
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Market Size Estimation
Top-down and bottom-up approaches have been used to estimate and validate the size of the AI-powered storage market and various other dependent submarkets. Key players in the market have been identified through secondary research, and their market shares in respective regions have been determined through primary and secondary research. This entire research methodology includes the study of annual and financial reports of top players, as well as interviews with experts (such as CEOs, VPs, directors, and marketing executives) for key insights (both quantitative and qualitative). All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources. All the possible parameters that influence the markets covered in this research study have been accounted for, viewed in detail, verified through the primary research, and analyzed to obtain the final quantitative and qualitative data. This data has been consolidated and supplemented with detailed inputs and analysis from MarketsandMarkets and presented in this report. Figures in the next sections show the overall market size estimation process employed for this study.
Data Triangulation
After arriving at the overall market size through the processes explained in the earlier sections, the total market has been split into several segments. To complete the overall market engineering process and arrive at the exact statistics for all segments, the market breakdown and data triangulation procedures have been employed, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. Moreover, the market has been validated using both top-down and bottom-up approaches.
Study Objectives
- To describe and forecast the AI-powered storage market, by offering, storage system, storage architecture, storage medium, end user, and region, in terms of value
- To describe and forecast the market for various segments, by region—North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW)
- To provide detailed information regarding drivers, restraints, opportunities, and challenges that influence the growth of the AI-powered storage market
- To analyze micromarkets1 with respect to individual growth trends, prospects, and contribution to the overall AI-powered storage market
- To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the AI-powered storage market, and provide details of the competitive landscape for the market leaders
- To profile key players in the AI-powered storage market and comprehensively analyze their market ranking in terms of revenues, shares, and core competencies2
- To analyze growth strategies, such as product launches and developments, acquisitions, partnerships, collaborations, and agreements, adopted by major players in the AI-powered storage market
- To analyze competitive strategies such as product launches and developments, alliances, joint ventures, and mergers and acquisitions in the global AI-powered storage market
Available Customizations
With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:
- Company Information:
Detailed analysis and profiling of additional market players on the basis of various blocks of the value chain
Growth opportunities and latent adjacency in AI-powered Storage Market