Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global AI-Powered Storage Market by Type (Software, Hardware), By Application (Telecom Companies, Government Bodies, Cloud Service Providers (CSP), Enterprises) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global AI-Powered Storage Market by Type (Software, Hardware), By Application (Telecom Companies, Government Bodies, Cloud Service Providers (CSP), Enterprises) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 360540 4200 Electronics & Semiconductor 377 241 Pages 4.8 (38)
                                          

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.


Global AI-Powered Storage Industry Outlook


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:

  1. Intel Corporation
  2. NVIDIA Corporation
  3. IBM
  4. Samsung Electronics
  5. Pure Storage
  6. NetApp
  7. Micron Technology
  8. Dell Technologies
  9. HPE
  10. CISCO
  11. Lenovo
  12. Hitachi
  13. Toshiba

Global AI-Powered Storage Market Overview


Highlights of The AI-Powered Storage Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Software
    2. Hardware
  1. By Application:

    1. Telecom Companies
    2. Government Bodies
    3. Cloud Service Providers (CSP)
    4. Enterprises
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. 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
  • Business Expansion Strategies
  • Consumer Insights
  • Understanding Competition Scenario
  • Product & Brand Management
  • Channel & Customer Management
  • Identifying Appropriate Advertising Appeals

Global AI-Powered Storage Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. 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

Our Trusted Clients

Contact Us