Global AI-powered Storage Market Size study, By Offering (Hardware, Software), By Storage System (Direct-attached Storage (DAS), Network-attached Storage (NAS), Storage Area Network (SAN)), By Storage Architecture (File- and Object-Based Storage, Object Storage), By End-User (Enterprises, Government Bodies, Cloud Service Providers, Telecom Companies), and Regional Forecasts 2022-2028
- Category: Transportation & Logistics
- Published Date: Aug 2022
- Publisher: Bizwit Research
- Pages: 200
Global AI-powered Storage Market is valued at approximately USDXX million in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2028. AI-powered storage is a smart storage system that employs artificial intelligence to continuously learn and adapt to its hybrid cloud environment in order to effectively manage and serve data. It can be installed as a virtual appliance, hardware, or cloud service. Surging demand for cloud-based services, rising adoption of AI in HPC data centers, thriving growth in data volumes, and rise in data volumes are the several key factors that are bolstering the market demand across the globe. For instance, according to Statista, the high-performance computing-based artificial intelligence generates the revenue of USD 667 million in machine learning, USD 209 million in deep learning, and other AI in HPC USD 42 million. Also, the amount is projected to grow and reached USD 1569 million in machine learning, USD 1133 million in deep learning, and other AI in HPC USD 204 million. Thereby, the surging adoption of AI in HPC data centers is fueling the demand for AI-powered storage, which, in turn, accelerates the market growth worldwide. However, the lack of data security in the cloud- and server-based services and the dearth of AI Hardware professionals impede the growth of the market over the forecast period of 2022-2028. Also, the rising number of cross-industry partnerships and collaborations and the growing availability and rapid development of useful data analysis tools are anticipated to act as a catalyzing factor for the market demand during the forecast period.
The key regions considered for the global AI-powered Storage Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to the rising acceptance of the emerging technologies and growing adoption of cloud-based services. Whereas, Asia-Pacific is anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as the increasing government policies for promoting the adoption of AI-powered storage systems, as well as the surging adoption of connected devices, would create lucrative growth prospects for the AI-powered Storage Market across the Asia-Pacific region.
Major market players included in this report are:
Intel Corporation
NVIDIA Corporation
IBM Corporation
Samsung Electronics Co. Ltd.
NetApp
Micron Technology
CISCO
Toshiba
Lenovo
Dell Technologies
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Offering:
Hardware
Software
By Storage System:
Direct-attached Storage (DAS)
Network-attached Storage (NAS)
Storage Area Network (SAN)
By Storage Architecture:
File- and Object-Based Storage
Object Storage
By End-User:
Enterprises
Government Bodies
Cloud Service Providers
Telecom Companies
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028
Target Audience of the Global AI-powered Storage Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
The key regions considered for the global AI-powered Storage Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to the rising acceptance of the emerging technologies and growing adoption of cloud-based services. Whereas, Asia-Pacific is anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as the increasing government policies for promoting the adoption of AI-powered storage systems, as well as the surging adoption of connected devices, would create lucrative growth prospects for the AI-powered Storage Market across the Asia-Pacific region.
Major market players included in this report are:
Intel Corporation
NVIDIA Corporation
IBM Corporation
Samsung Electronics Co. Ltd.
NetApp
Micron Technology
CISCO
Toshiba
Lenovo
Dell Technologies
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Offering:
Hardware
Software
By Storage System:
Direct-attached Storage (DAS)
Network-attached Storage (NAS)
Storage Area Network (SAN)
By Storage Architecture:
File- and Object-Based Storage
Object Storage
By End-User:
Enterprises
Government Bodies
Cloud Service Providers
Telecom Companies
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028
Target Audience of the Global AI-powered Storage Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
1.2.1. AI-powered Storage Market, by Region, 2020-2028 (USD Million)
1.2.2. AI-powered Storage Market, by Offering, 2020-2028 (USD Million)
1.2.3. AI-powered Storage Market, by Storage System, 2020-2028 (USD Million)
1.2.4. AI-powered Storage Market, by Storage Architecture, 2020-2028 (USD Million)
1.2.5. AI-powered Storage Market, by End-User, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global AI-powered Storage Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global AI-powered Storage Market Dynamics
3.1. AI-powered Storage Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Surging demand for cloud-based services
3.1.1.2. Rising adoption of AI in HPC data centers
3.1.2. Market Challenges
3.1.2.1. Lack of data security in cloud- and server-based services
3.1.2.2. Dearth of AI Hardware professionals
3.1.3. Market Opportunities
3.1.3.1. Rising number of cross-industry partnerships and collaborations
3.1.3.2. Growing availability and rapid development of useful data analysis tools
Chapter 4. Global AI-powered Storage Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global AI-powered Storage Market, by Offering
6.1. Market Snapshot
6.2. Global AI-powered Storage Market by Offering, Performance - Potential Analysis
6.3. Global AI-powered Storage Market Estimates & Forecasts by Offering, 2018-2028 (USD Million)
6.4. AI-powered Storage Market, Sub Segment Analysis
6.4.1. Hardware
6.4.2. Software
Chapter 7. Global AI-powered Storage Market, by Storage System
7.1. Market Snapshot
7.2. Global AI-powered Storage Market by Storage System, Performance - Potential Analysis
7.3. Global AI-powered Storage Market Estimates & Forecasts by Storage System, 2018-2028 (USD Million)
7.4. AI-powered Storage Market, Sub Segment Analysis
7.4.1. Direct-attached Storage (DAS)
7.4.2. Network-attached Storage (NAS)
7.4.3. Storage Area Network (SAN)
Chapter 8. Global AI-powered Storage Market, by Storage Architecture
8.1. Market Snapshot
8.2. Global AI-powered Storage Market by Storage Architecture, Performance - Potential Analysis
8.3. Global AI-powered Storage Market Estimates & Forecasts by Storage Architecture, 2018-2028 (USD Million)
8.4. AI-powered Storage Market, Sub Segment Analysis
8.4.1. File- and Object-Based Storage
8.4.2. Object Storage
Chapter 9. Global AI-powered Storage Market, by End-User
9.1. Market Snapshot
9.2. Global AI-powered Storage Market by End-User, Performance - Potential Analysis
9.3. Global AI-powered Storage Market Estimates & Forecasts by End-User, 2018-2028 (USD Million)
9.4. AI-powered Storage Market, Sub Segment Analysis
9.4.1. Enterprises
9.4.2. Government Bodies
9.4.3. Cloud Service Providers
9.4.4. Telecom Companies
Chapter 10. Global AI-powered Storage Market, Regional Analysis
10.1. AI-powered Storage Market, Regional Market Snapshot
10.2. North America AI-powered Storage Market
10.2.1. U.S. AI-powered Storage Market
10.2.1.1. Offering breakdown estimates & forecasts, 2018-2028
10.2.1.2. Storage System breakdown estimates & forecasts, 2018-2028
10.2.1.3. Storage Architecture breakdown estimates & forecasts, 2018-2028
10.2.1.4. End-User breakdown estimates & forecasts, 2018-2028
10.2.2. Canada AI-powered Storage Market
10.3. Europe AI-powered Storage Market Snapshot
10.3.1. U.K. AI-powered Storage Market
10.3.2. Germany AI-powered Storage Market
10.3.3. France AI-powered Storage Market
10.3.4. Spain AI-powered Storage Market
10.3.5. Italy AI-powered Storage Market
10.3.6. Rest of Europe AI-powered Storage Market
10.4. Asia-Pacific AI-powered Storage Market Snapshot
10.4.1. China AI-powered Storage Market
10.4.2. India AI-powered Storage Market
10.4.3. Japan AI-powered Storage Market
10.4.4. Australia AI-powered Storage Market
10.4.5. South Korea AI-powered Storage Market
10.4.6. Rest of Asia Pacific AI-powered Storage Market
10.5. Latin America AI-powered Storage Market Snapshot
10.5.1. Brazil AI-powered Storage Market
10.5.2. Mexico AI-powered Storage Market
10.6. Rest of The World AI-powered Storage Market
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Intel Corporation
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. NVIDIA Corporation
11.2.3. IBM Corporation
11.2.4. Samsung Electronics Co. Ltd.
11.2.5. NetApp
11.2.6. Micron Technology
11.2.7. CISCO
11.2.8. Toshiba
11.2.9. Lenovo
11.2.10. Dell Technologies
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
1.2.1. AI-powered Storage Market, by Region, 2020-2028 (USD Million)
1.2.2. AI-powered Storage Market, by Offering, 2020-2028 (USD Million)
1.2.3. AI-powered Storage Market, by Storage System, 2020-2028 (USD Million)
1.2.4. AI-powered Storage Market, by Storage Architecture, 2020-2028 (USD Million)
1.2.5. AI-powered Storage Market, by End-User, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global AI-powered Storage Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global AI-powered Storage Market Dynamics
3.1. AI-powered Storage Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Surging demand for cloud-based services
3.1.1.2. Rising adoption of AI in HPC data centers
3.1.2. Market Challenges
3.1.2.1. Lack of data security in cloud- and server-based services
3.1.2.2. Dearth of AI Hardware professionals
3.1.3. Market Opportunities
3.1.3.1. Rising number of cross-industry partnerships and collaborations
3.1.3.2. Growing availability and rapid development of useful data analysis tools
Chapter 4. Global AI-powered Storage Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global AI-powered Storage Market, by Offering
6.1. Market Snapshot
6.2. Global AI-powered Storage Market by Offering, Performance - Potential Analysis
6.3. Global AI-powered Storage Market Estimates & Forecasts by Offering, 2018-2028 (USD Million)
6.4. AI-powered Storage Market, Sub Segment Analysis
6.4.1. Hardware
6.4.2. Software
Chapter 7. Global AI-powered Storage Market, by Storage System
7.1. Market Snapshot
7.2. Global AI-powered Storage Market by Storage System, Performance - Potential Analysis
7.3. Global AI-powered Storage Market Estimates & Forecasts by Storage System, 2018-2028 (USD Million)
7.4. AI-powered Storage Market, Sub Segment Analysis
7.4.1. Direct-attached Storage (DAS)
7.4.2. Network-attached Storage (NAS)
7.4.3. Storage Area Network (SAN)
Chapter 8. Global AI-powered Storage Market, by Storage Architecture
8.1. Market Snapshot
8.2. Global AI-powered Storage Market by Storage Architecture, Performance - Potential Analysis
8.3. Global AI-powered Storage Market Estimates & Forecasts by Storage Architecture, 2018-2028 (USD Million)
8.4. AI-powered Storage Market, Sub Segment Analysis
8.4.1. File- and Object-Based Storage
8.4.2. Object Storage
Chapter 9. Global AI-powered Storage Market, by End-User
9.1. Market Snapshot
9.2. Global AI-powered Storage Market by End-User, Performance - Potential Analysis
9.3. Global AI-powered Storage Market Estimates & Forecasts by End-User, 2018-2028 (USD Million)
9.4. AI-powered Storage Market, Sub Segment Analysis
9.4.1. Enterprises
9.4.2. Government Bodies
9.4.3. Cloud Service Providers
9.4.4. Telecom Companies
Chapter 10. Global AI-powered Storage Market, Regional Analysis
10.1. AI-powered Storage Market, Regional Market Snapshot
10.2. North America AI-powered Storage Market
10.2.1. U.S. AI-powered Storage Market
10.2.1.1. Offering breakdown estimates & forecasts, 2018-2028
10.2.1.2. Storage System breakdown estimates & forecasts, 2018-2028
10.2.1.3. Storage Architecture breakdown estimates & forecasts, 2018-2028
10.2.1.4. End-User breakdown estimates & forecasts, 2018-2028
10.2.2. Canada AI-powered Storage Market
10.3. Europe AI-powered Storage Market Snapshot
10.3.1. U.K. AI-powered Storage Market
10.3.2. Germany AI-powered Storage Market
10.3.3. France AI-powered Storage Market
10.3.4. Spain AI-powered Storage Market
10.3.5. Italy AI-powered Storage Market
10.3.6. Rest of Europe AI-powered Storage Market
10.4. Asia-Pacific AI-powered Storage Market Snapshot
10.4.1. China AI-powered Storage Market
10.4.2. India AI-powered Storage Market
10.4.3. Japan AI-powered Storage Market
10.4.4. Australia AI-powered Storage Market
10.4.5. South Korea AI-powered Storage Market
10.4.6. Rest of Asia Pacific AI-powered Storage Market
10.5. Latin America AI-powered Storage Market Snapshot
10.5.1. Brazil AI-powered Storage Market
10.5.2. Mexico AI-powered Storage Market
10.6. Rest of The World AI-powered Storage Market
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Intel Corporation
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. NVIDIA Corporation
11.2.3. IBM Corporation
11.2.4. Samsung Electronics Co. Ltd.
11.2.5. NetApp
11.2.6. Micron Technology
11.2.7. CISCO
11.2.8. Toshiba
11.2.9. Lenovo
11.2.10. Dell Technologies
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption
no record found