Market Overview:
The global AI-powered storage market is expected to grow at a CAGR of over 31% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for AI-powered storage solutions from telecom companies, government bodies, cloud service providers (CSPs), and enterprises. Additionally, the growing need for data security and privacy is also fueling the growth of this market. However, lack of awareness about AI-powered storage solutions among end users may restrain the growth of this market during the forecast period.
Product Definition:
Storage that is enhanced by artificial intelligence which can help to manage and organize data, identify user needs, and optimize storage performance. AI-powered storage is important because it can help businesses make better use of their data, improve performance, and reduce costs.
Software:
Software is an important part of AI-powered storage market as it helps in managing and operating the overall system. The software provides a user interface to manage various operations such as data ingest, model training, model deployment, hyperparameter tuning & evaluation along with monitoring the system’s performance.
The major factor driving the growth of this industry includes growing adoption rate for cloud computing services across different verticals such as BFSI, IT & telecom and healthcare among others.
Hardware:
Hardware is the part of any computing system that can be separated from software and services. In case of AI-powered storage, hardware includes the physical devices used to store data such as drives, memory, networked storage devices etc. The growing demand for faster processing speed in data centers has led to an increased focus on high-speed networks with low latency for efficient data transfer.
Application Insights:
The telecom companies application segment accounted for the largest revenue share in 2017. The growth can be attributed to the increasing usage of AI-powered storage solutions by telecom companies, which offer cloud services to their customers. For instance, AT&T Inc. has deployed over 1 Petabyte (1PB) of storage capacity in its cloud network and offers various AI-powered services such as video transcoding and image recognition through its DaaS platform. Similarly, Google has launched several products such as Google Cloud Platform and G Suite that enable enterprises to deploy applications on a remote server from within their organization's network without requiring any client-side software or hardware installation at the enterprise level.
Regional Analysis:
The North American regional market accounted for the largest revenue share in 2017. The growth can be attributed to the presence of major players, such as Google, Inc.; IBM Corporation; Microsoft Corporation; and Hewlett Packard Enterprise Development LP. These companies are actively involved in developing new products that incorporate artificial intelligence technology to enhance productivity and performance of their products/services. Moreover, these companies are also focusing on developing new partnerships with AI-enabled startups so as to leverage their competitive advantages in the market place.
Asia Pacific is expected to emerge as a lucrative region over the forecast period owing to increasing investments by governments across countries such as China.
Growth Factors:
- Increasing demand for big data storage and analytics: The volume of data being generated is increasing at an alarming rate, and businesses are looking for efficient ways to store and analyze this data. AI-powered storage solutions can help businesses manage and make sense of their big data more effectively.
- Proliferation of IoT devices: With the proliferation of IoT devices, the amount of data being generated is only going to increase further. AI-powered storage solutions can help organizations store and process all this data in a timely manner.
- Growing demand for cloud-based services: Organizations are increasingly moving towards cloud-based services as they offer several advantages such as scalability, flexibility, and cost efficiency. AI-powered storage solutions can be integrated with these cloud platforms to provide enhanced performance and functionality.
Scope Of The Report
Report Attributes
Report Details
Report Title
AI-Powered Storage Market Research Report
By Type
Software, Hardware
By Application
Telecom Companies, Government Bodies, Cloud Service Providers (CSP), Enterprises
By Companies
Intel Corporation, NVIDIA Corporation, IBM, Samsung Electronics, Pure Storage, NetApp, Micron Technology, Dell Technologies, HPE, CISCO, Lenovo, Hitachi, Toshiba
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
241
Number of Tables & Figures
169
Customization Available
Yes, the report can be customized as per your need.
Global AI-Powered Storage Market Report Segments:
The global AI-Powered Storage market is segmented on the basis of:
Types
Software, Hardware
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Telecom Companies, Government Bodies, Cloud Service Providers (CSP), Enterprises
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Intel Corporation
- NVIDIA Corporation
- IBM
- Samsung Electronics
- Pure Storage
- NetApp
- Micron Technology
- Dell Technologies
- HPE
- CISCO
- Lenovo
- Hitachi
- Toshiba
Highlights of The AI-Powered Storage Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Software
- Hardware
- By Application:
- Telecom Companies
- Government Bodies
- Cloud Service Providers (CSP)
- Enterprises
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI-Powered Storage Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
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- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI-Powered Storage is a technology that uses artificial intelligence to manage and store data. It can help organizations save money by automating tasks such as data analysis, storage management, and retrieval. AI-Powered Storage can also help organizations improve efficiency by automating processes such as data entry and retrieval.
Some of the major companies in the ai-powered storage market are Intel Corporation, NVIDIA Corporation, IBM, Samsung Electronics, Pure Storage, NetApp, Micron Technology, Dell Technologies, HPE, CISCO, Lenovo, Hitachi, Toshiba.
The ai-powered storage market is expected to grow at a compound annual growth rate of 31%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI-Powered Storage Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 AI-Powered Storage Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 AI-Powered Storage Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the AI-Powered Storage Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global AI-Powered Storage Market Size & Forecast, 2020-2028 4.5.1 AI-Powered Storage Market Size and Y-o-Y Growth 4.5.2 AI-Powered Storage Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Software
5.2.2 Hardware
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Telecom Companies
6.2.2 Government Bodies
6.2.3 Cloud Service Providers (CSP)
6.2.4 Enterprises
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI-Powered Storage Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI-Powered Storage Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Software
9.6.2 Hardware
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Telecom Companies
9.10.2 Government Bodies
9.10.3 Cloud Service Providers (CSP)
9.10.4 Enterprises
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Software
10.6.2 Hardware
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Telecom Companies
10.10.2 Government Bodies
10.10.3 Cloud Service Providers (CSP)
10.10.4 Enterprises
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Software
11.6.2 Hardware
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Telecom Companies
11.10.2 Government Bodies
11.10.3 Cloud Service Providers (CSP)
11.10.4 Enterprises
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Software
12.6.2 Hardware
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Telecom Companies
12.10.2 Government Bodies
12.10.3 Cloud Service Providers (CSP)
12.10.4 Enterprises
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Software
13.6.2 Hardware
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Telecom Companies
13.10.2 Government Bodies
13.10.3 Cloud Service Providers (CSP)
13.10.4 Enterprises
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI-Powered Storage Market: Competitive Dashboard
14.2 Global AI-Powered Storage Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Intel Corporation
14.3.2 NVIDIA Corporation
14.3.3 IBM
14.3.4 Samsung Electronics
14.3.5 Pure Storage
14.3.6 NetApp
14.3.7 Micron Technology
14.3.8 Dell Technologies
14.3.9 HPE
14.3.10 CISCO
14.3.11 Lenovo
14.3.12 Hitachi
14.3.13 Toshiba