AI Powered Storage Market

AI Powered Storage Market



Growth Factors of AI Powered Storage Market

The AI Powered Storage Market size was valued at USD 18.56 billion in 2022 and is projected to grow from USD 22.90 billion in 2023 to USD 110.68 billion by 2030, exhibiting a CAGR of 25.2% during the forecast period of 2024-2032.

The COVID-19 pandemic had a complex impact at the AI-powered garage market. Initially, it disrupted production and production globally, affecting deliver chains and slowing boom. However, the disaster additionally spurred speedy digitization, with greater agencies moving to far flung work and cloud solutions. This boosted demand for revolutionary AI-driven garage structures that beautify data management and safety, helping groups adapt to far off environments effectively

A splendid fashion in the market is the growing adoption of cloud-primarily based platforms and robotics within warehousing operations. Companies are leveraging AI-powered storage to address sizable amounts of information extra successfully, especially as industries shift closer to automation and real-time processing. This trend is especially robust inside the Asia-Pacific location, in which developing facts demands from countries like China and India are driving investments in superior garage solutions

The number one increase motive force is the rising want for excessive-performance computing (HPC) answers that depend on AI and system learning technologies. As organizations generate more complicated datasets, AI-powered garage systems play a crucial position in optimizing records retrieval and making sure clean operations. Additionally, sectors such as BFSI (banking, financial services, and insurance) and healthcare are more and more adopting those solutions to decorate facts safety and operational efficiency

Comprehensive Analysis of AI Powered Storage Market

The AI Powered Storage Market growth is rising at an exponential rate due to its marketplace segmentation. This market expansion correctly affords a detailed local assessments thinking about the dominant supply and call for forces that effect the enterprise. These segmentations are methodically segregated by storage system, by storage architecture, by storage medium, by end user. By Storage System include Direct Attached Storage (DAS), Network Attached Storage (NAS), Storage Area Network (SAN), By Storage Architecture include File Based, Object Based. By Storage Medium include Hard Disk Drive (HDD), Solid State Drive (SSD). By End-user include Enterprises, Telecom Companies Cloud Service Providers (CSPs), Government Bodies .

The North America location lead the AI Powered Storage Market share percentage via benefitting a marketplace size of USD 6.56 billion Enterprises in the region have started adopting AI powered storage systems to safeguard their critical data, driven by increasing technological advancements and digitization in this field.

The top players in the market play a crucial role in the industry assuring market growth and setting market standards. These players include, Google LLC (Alphabet, Inc.), Magic Leap, Inc., ReWalk Robotics, SAMSUNG, B-Temia, Panasonic Holdings Corporation, NVIDIA Corporation, Microsoft, Ekso Bionics, Vuzix,these market players provide a level-playing competitive landscape.

October 2023: Pure Storage, Inc., an advanced data storage technology and service provider, enhanced its Evergreen portfolio to pay for its customers’ rack space and power costs for Evergreen’s Flex subscriptions and One Storage-as-a-Service (STaaS). The company also expanded its Evergreen range with new zero data loss, no data migration, and power & space efficiency guarantees complemented by flexible upgrades and financing.

Segmentation Table

ATTRIBUTE DETAILS

Study Period 2017-2030

Base Year 2022

Forecast Period 2023-2030

Historical Period 2017-2021

Growth Rate CAGR of 25.2% from 2023 to 2030

Unit Value (USD Billion)

Segmentation By Storage System

Direct Attached Storage (DAS)

Network Attached Storage (NAS)

Storage Area Network (SAN)

By Storage Architecture

File Based

Object Based

By Storage Medium

Hard Disk Drive (HDD)

Solid State Drive (SSD)

By End-user

Enterprises

Telecom Companies

Cloud Service Providers (CSPs)

Government Bodies

By Region

North America (By Storage System, Storage Architecture, Storage Medium, End-user, and Country)
  • U.S. (By End-user)
  • Canada (By End-user)
  • Mexico (By End-user)
South America (By Storage System, Storage Architecture, Storage Medium, End-user, and Country)
  • Brazil (By End-user)
  • Argentina (By End-user)
  • Rest of South America
Europe (By Storage System, Storage Architecture, Storage Medium, End-user, and Country)
  • U.K. (By End-user)
  • Germany (By End-user)
  • France (By End-user)
  • Italy (By End-user)
  • Spain (By End-user)
  • Russia (By End-user)
  • Benelux (By End-user)
  • Nordics (By End-user)
  • Rest of Europe
Middle East & Africa (By Storage System, Storage Architecture, Storage Medium, End-user, and Country)
  • Turkey (By End-user)
  • Israel (By End-user)
  • GCC (By End-user)
  • North Africa (By End-user)
  • South Africa (By End-user)
  • Rest of the Middle East & Africa
Asia Pacific (By Storage System, Storage Architecture, Storage Medium, End-user, and Country)
  • China (By End-user)
  • Japan (By End-user)
  • India (By End-user)
  • South Korea (By End-user)
  • ASEAN (By End-user)
  • Oceania (By End-user)
  • Rest of Asia Pacific


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1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
3.3. Impact of COVID-19
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. AI Powered Storage Key Players Market Share/Ranking, 2022
5. Global AI Powered Storage Market Size Estimates and Forecasts, By Segments, 2017-2030
5.1. Key Findings
5.2. By Storage System (USD)
5.2.1. Direct Attached Storage (DAS)
5.2.2. Network Attached Storage (NAS)
5.2.3. Storage Area Network (SAN)
5.3. By Storage Architecture (USD)
5.3.1. File Based
5.3.2. Object Based
5.4. By Storage Medium (USD)
5.4.1. Hard Disk Drive (HDD)
5.4.2. Solid State Drive (SSD)
5.5. By End-Users (USD)
5.5.1. Enterprises
5.5.2. Telecom Companies
5.5.3. Cloud Service Providers (CSP)
5.5.4. Government Bodies
5.6. By Region (USD)
5.6.1. North America
5.6.2. South America
5.6.3. Europe
5.6.4. Middle East & Africa
5.6.5. Asia Pacific
6. North America AI Powered Storage Market Size Estimates and Forecasts, By Segments, 2017-2030
6.1. Key Findings
6.2. By Storage System (USD)
6.2.1. Direct Attached Storage (DAS)
6.2.2. Network Attached Storage (NAS)
6.2.3. Storage Area Network (SAN)
6.3. By Storage Architecture (USD)
6.3.1. File Based
6.3.2. Object Based
6.4. By Storage Medium (USD)
6.4.1. Hard Disk Drive (HDD)
6.4.2. Solid State Drive (SSD)
6.5. By End-Users (USD)
6.5.1. Enterprises
6.5.2. Telecom Companies
6.5.3. Cloud Service Providers (CSP)
6.5.4. Government Bodies
6.6. By Country (USD)
6.6.1. U.S.
6.6.1.1. By End-Users
6.6.2. Canada
6.6.2.1. By End-Users
6.6.3. Mexico
6.6.3.1. By End-Users
7. South America AI Powered Storage Market Size Estimates and Forecasts, By Segments, 2017-2030
7.1. Key Findings
7.2. By Storage System (USD)
7.2.1. Direct Attached Storage (DAS)
7.2.2. Network Attached Storage (NAS)
7.2.3. Storage Area Network (SAN)
7.3. By Storage Architecture (USD)
7.3.1. File Based
7.3.2. Object Based
7.4. By Storage Medium (USD)
7.4.1. Hard Disk Drive (HDD)
7.4.2. Solid State Drive (SSD)
7.5. By End-Users (USD)
7.5.1. Enterprises
7.5.2. Telecom Companies
7.5.3. Cloud Service Providers (CSP)
7.5.4. Government Bodies
7.6. By Country (USD)
7.6.1. Brazil
7.6.1.1. By End-Users
7.6.2. Argentina
7.6.2.1. By End-Users
7.6.3. Rest of South America
8. Europe AI Powered Storage Market Size Estimates and Forecasts, By Segments, 2017-2030
8.1. Key Findings
8.2. By Storage System (USD)
8.2.1. Direct Attached Storage (DAS)
8.2.2. Network Attached Storage (NAS)
8.2.3. Storage Area Network (SAN)
8.3. By Storage Architecture (USD)
8.3.1. File Based
8.3.2. Object Based
8.4. By Storage Medium (USD)
8.4.1. Hard Disk Drive (HDD)
8.4.2. Solid State Drive (SSD)
8.5. By End-Users (USD)
8.5.1. Enterprises
8.5.2. Telecom Companies
8.5.3. Cloud Service Providers (CSP)
8.5.4. Government Bodies
8.6. By Country (USD)
8.6.1. U.K.
8.6.1.1. By End-Users
8.6.2. Germany
8.6.2.1. By End-Users
8.6.3. France
8.6.3.1. By End-Users
8.6.4. Italy
8.6.4.1. By End-Users
8.6.5. Spain
8.6.5.1. By End-Users
8.6.6. Russia
8.6.6.1. By End-Users
8.6.7. Benelux
8.6.7.1. By End-Users
8.6.8. Nordics
8.6.8.1. By End-Users
8.6.9. Rest of Europe
9. Middle East & Africa AI Powered Storage Market Size Estimates and Forecasts, By Segments, 2017-2030
9.1. Key Findings
9.2. By Storage System (USD)
9.2.1. Direct Attached Storage (DAS)
9.2.2. Network Attached Storage (NAS)
9.2.3. Storage Area Network (SAN)
9.3. By Storage Architecture (USD)
9.3.1. File Based
9.3.2. Object Based
9.4. By Storage Medium (USD)
9.4.1. Hard Disk Drive (HDD)
9.4.2. Solid State Drive (SSD)
9.5. By End-Users (USD)
9.5.1. Enterprises
9.5.2. Telecom Companies
9.5.3. Cloud Service Providers (CSP)
9.5.4. Government Bodies
9.6. By Country (USD)
9.6.1. Turkey
9.6.1.1. By End-Users
9.6.2. Israel
9.6.2.1. By End-Users
9.6.3. GCC
9.6.3.1. By End-Users
9.6.4. North Africa
9.6.4.1. By End-Users
9.6.5. South Africa
9.6.5.1. By End-Users
9.6.6. Rest of Middle East & Africa
10. Asia Pacific AI Powered Storage Market Size Estimates and Forecasts, By Segments, 2017-2030
10.1. Key Findings
10.2. By Storage System (USD)
10.2.1. Direct Attached Storage (DAS)
10.2.2. Network Attached Storage (NAS)
10.2.3. Storage Area Network (SAN)
10.3. By Storage Architecture (USD)
10.3.1. File Based
10.3.2. Object Based
10.4. By Storage Medium (USD)
10.4.1. Hard Disk Drive (HDD)
10.4.2. Solid State Drive (SSD)
10.5. By End-Users (USD)
10.5.1. Enterprises
10.5.2. Telecom Companies
10.5.3. Cloud Service Providers (CSP)
10.5.4. Government Bodies
10.6. By Country (USD)
10.6.1. China
10.6.1.1. By End-Users
10.6.2. Japan
10.6.2.1. By End-Users
10.6.3. India
10.6.3.1. By End-Users
10.6.4. South Korea
10.6.4.1. By End-Users
10.6.5. ASEAN
10.6.5.1. By End-Users
10.6.6. Oceania
10.6.6.1. By End-Users
10.6.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in On-Premises domain and/or on paid databases)
11.1. NVIDIA Corporation
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. Intel Corporation
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. Pure Storage, Inc.
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Infortrend Technology Inc.
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Huawei Technologies Co., Ltd.
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. IBM Corporation
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. NetApp
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Hewlett Packard Enterprise Development LP
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Dell Inc.
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Micron Technology, Inc
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments

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