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AI-Powered Storage Market

AI-Powered Storage Market Size, Share & Segmentation By Offering (Hardware, Software) By Storage System (Direct-Attached Storage, Storage Area Network, Network-Attached Storage) By Storage Medium (Solid State Drive, Hard Disk Drive) By Storage Architecture (Object Storage, File- And Object-Based Storage) By End-User (Enterprises, Telecom Companies, Government, Cloud Service Providers, Others), By Regions, And Global Forecast 2023-2030

Report Id: SNS/SEMI/2606 | July 2022 | Region: Global | 133 Pages

Report Scope & Overview:

The AI-Powered Storage Market Size was valued at USD 21.46 billion in 2022 and is expected to reach USD 145.25 billion by 2030, and grow at a CAGR of 27% over the forecast period 2023-2030.

AI-powered storage is an intelligent storage system that uses artificial intelligence (AI) to continuously learn and adapt to its hybrid cloud environment in order to better manage and serve data. It is available as a virtual appliance, hardware, or as a cloud service. Using AI-powered storage, you can optimise data throughout its life cycle and move data to where it is needed.  It also offers encryption and data security to help eliminate potential security threats. As a result, they are used in industries such as Enterprises, telecom companies, government, cloud service providers and others. The global AI-powered storage market is expanding rapidly and is expected to expand further in the coming years.

AI-Powered Storage Market Revenue Graph

MARKET DYNAMICS:

KEY DRIVERS:

  • AI is becoming increasingly popular in HPC data centres.

  • Ned for Refreshing Global Enterprise Infrastructure's Storage Architecture is Required.

  • Growing Adoption of Cloud-Based Services.

RESTRAINTS:

  • Data Security Flaws in Cloud and Server-Based Services

  • Limited knowledge of AI hardware.

OPPORTUNITIES:

  • The availability of useful data analysis tools and their rapid development.

  • Increase in the number of cross-industry partnerships and collaborations.

CHALLENGES: 

  • Concerns About Data Privacy.

  • AI Algorithms' Unreliability.

IMPACT OF COVID-19: 

The COVID-19 outbreak has had a significant impact on the AI-powered storage market. New projects around the world have stalled, resulting in a drop in demand for analogue semiconductors. As workers stayed at home, global factories struggled to integrate new AI-powered storage, disrupting global supply chains. COVID-19's impact on this market is only temporary because only the production and supply chain are halted. Production, supply chains, and demand for AI-powered storage will gradually increase as the situation improves. This COVID-19 lockdown would encourage businesses to consider more advanced AI-powered storage to improve efficiency.

Based on offering, the AI-powered storage market is segmented into Hardware, and Software. Based on storage medium, the AI-powered storage market is segmented into Solid State Drive, and Hard Disk Drive. Based on storage architecture, the AI-powered storage market is segmented into Object Storage, File- and Object-Based Storage. Based on end-user, the AI-powered storage market is segmented into Enterprises, Telecom Companies, Government, Cloud Service Providers, and Others. Based on storage system, the AI-powered storage market is segmented into Direct-attached Storage, Storage Area Network, and Network-attached Storage. SAN storage systems facilitate storage pooling across datacenters. Because of their lower implementation costs, these systems are expected to gain popularity among small and medium-sized businesses. Furthermore, they contribute to datacenter virtualization, which leads to a high demand for these storage system types. Many businesses have begun to use cloud-based services to store their data using virtual servers, and they intend to expand their storage capacities beyond existing infrastructure capabilities to meet the demand for AI-enabled applications and workloads.

COMPETITIVE LANDSCAPE:

The key players in the AI-powered storage market are Dell Technologies, Advanced Micro Devices, CISCO, IBM, Toshiba, Intel Corporation, Hitachi, NVIDIA Corporation, Samsung Electronics, and Data direct Network.

MARKET SEGMENTS:

BY OFFERING

  • Hardware

  • Software

BY STORAGE SYSTEM

  • Direct-attached Storage

  • Storage Area Network

  • Network-attached Storage

BY STORAGE MEDIUM

  • Solid State Drive

  • Hard Disk Drive

BY STORAGE ARCHITECTURE

  • Object Storage

  • File- and Object-Based Storage

BY END USER

  • Enterprises

  • Telecom Companies

  • Government

  • Cloud Service Providers

  • Others

AI-Powered Storage Market Segment Pie Chart

REGIONAL ANALYSIS:

During the forecast period, North America is expected to have the largest share of the AI-powered storage market. The high concentration of data storage market participants, the easy availability of skilled technical talent, and the growing adoption of AI in the manufacturing, banking, telecom, and healthcare industries are the primary drivers of the market. During the forecast period, Asia-Pacific is expected to have the highest CAGR. The region's adoption of AI technology, as well as the rise in demand for cloud-based services and the use of robotics in industrial industries, are the primary drivers of the AI-powered storage market's rapid expansion.

REGIONAL COVERAGE:

  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America

 

AI-Powered Storage Market Report Scope
Report Attributes Details
Market Size in 2022 US$ 21.46 Billion
Market Size by 2030 US$ 145.25 Billion
CAGR CAGR of 27% From 2023 to 2030
Base Year 2022
Forecast Period 2023-2030
Historical Data 2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Offering (Hardware, Software)
• By Storage System (Direct-Attached Storage, Storage Area Network, Network-Attached Storage)
• By Storage Medium (Solid State Drive, Hard Disk Drive)
• By Storage Architecture (Object Storage, File- And Object-Based Storage)
• By End-User (Enterprises, Telecom Companies, Government, Cloud Service Providers, Others)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles Sumitomo Electric Industries, Robert Bosch, Toshiba Corporation, Infineon Technologies, Microchip Technology, Raytheon Company, STMicroelectronics, Mitsubishi Electric Corporation, Panasonic Corporation, and NXP Semiconductor.
Key Drivers • AI is becoming increasingly popular in HPC data centres.
• Need for Refreshing Global Enterprise Infrastructure's Storage Architecture is Required.
RESTRAINTS • Data Security Flaws in Cloud and Server-Based Services
• Limited knowledge of AI hardware.


Frequently Asked Questions (FAQ) :

The market value is expected to reach USD 90 billion by 2028.

Data Security Flaws in Cloud and Server-Based Services, and Limited knowledge of AI hardware.

The key players in the AI-powered storage market are Dell Technologies, Advanced Micro Devices, CISCO, IBM, Toshiba, Intel Corporation, Hitachi, NVIDIA Corporation, Samsung Electronics, and Data direct Network.

Top-down research, bottom-up research, qualitative research, quantitative research, and Fundamental research.

Manufacturers, Consultants, Association, Research Institutes, private and university libraries, suppliers, and distributors of the product.


Table of Contents

 

1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions

 

2. Research Methodology

 

3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges

 

4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies

4.3.2.1 US

4.3.2.2 Canada

4.3.2.3 Germany

4.3.2.4 France

4.3.2.5 United Kingdom

4.3.2.6 China

4.3.2.7 Japan

4.3.2.8 South Korea

4.3.2.9 Rest of the World

 

5. Value Chain Analysis

 

6. Porter’s 5 forces model

 

7.  PEST Analysis

  

8. AI-Powered Storage Market Segmentation, by offering

8.1Introduction

8.2 Hardware

8.3 Software

 

9. AI-Powered Storage Market Segmentation, by storage system

9.1Introduction

9.2 Direct-attached Storage

9.3 Storage Area Network

9.4 Network-attached Storage

 

10. AI-Powered Storage Market Segmentation, by storage medium

10.1 Introduction

10.2 Solid State Drive

10.3 Hard Disk Drive

 

11. AI-Powered Storage Market Segmentation, by storage architecture

11.1 Introduction

11.2 Object Storage

11.3 File- and Object-Based Storage

 

12. AI-Powered Storage Market Segmentation, by end-user

12.1 Introduction

12.2 Enterprises

12.3 Telecom Companies

12.4 Government

12.5 Cloud Service Providers

12.6 Others

 

13. Regional Analysis

13.1 Introduction

13.2 North America

13.2.1 USA

13.2.2 Canada

13.2.3 Mexico

13.3 Europe

13.3.1 Germany

13.3.2 UK

13.3.3 France

13.3.4 Italy

13.3.5 Spain

13.3.6 The Netherlands

13.3.7 Rest of Europe

13.4 Asia-Pacific

13.4.1 Japan

13.4.2 South Korea

13.4.3 China

13.4.4 India

13.4.5 Australia

13.4.6 Rest of Asia-Pacific

13.5 The Middle East & Africa

13.5.1 Israel

13.5.2 UAE

13.5.3 South Africa

13.5.4 Rest

13.6 Latin America

13.6.1 Brazil

13.6.2 Argentina

13.6.3 Rest of Latin America

 

14. Company Profiles

14.1 Data direct Network

14.1.1 Financial

14.1.2 Products/ Services Offered

14.1.3 SWOT Analysis

14.1.4 The SNS view

14.2 Dell Technologies

14.3 Advanced Micro Devices

14.4 CISCO

14.5 IBM

14.6 Toshiba

14.7 Intel Corporation

14.8 Hitachi

14.9 NVIDIA Corporation

14.10 Samsung Electronics

 

15. Competitive Landscape

15.1 Competitive Benchmark

15.2 Market Share analysis

15.3 Recent Developments

 

16. Conclusion

 

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The 5 steps process:

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Secondary Research or Desk Research as the name suggests is a research process wherein, we collect data through readily available information. In this process, we use various paid and unpaid databases to which our team has access and gather data through the same. This includes examining listed companies’ annual reports, Journals, SEC filling, etc. Apart from this, our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various universities as well as individual libraries.

Secondary Research

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