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Publication: August 2024
Report Type: Sub-Tracker
Report Format: PDF DataSheet
Report ID: CCT15741 
  Pages: 110+  

Qatar Cloud Object Storage Market Size and Forecast by Storage Type, Deployment Model, Industry, Organization Size, Use Case, and Pricing Model: 2019-2032

Report Format: PDF DataSheet |   Pages: 110+  

 August 2024  | 

Qatar Cloud Object Storage Market Growth and Performance

  • The Qatar cloud object storage market is forecasted to achieve US$ 167.5 Million in revenue by 2032, projecting a Compound Annual Growth Rate (CAGR) of 27.1% from 2024 to 2032.
  • US$ 19.6 Million was the standing market revenue of Qatar cloud object storage industry in 2023.
  • The most prominent segment, categorized as standard object storage, is anticipated to command a market value of US$ 91.4 Million by 2032.
  • In the Qatar cloud object storage market, it's anticipated that Healthcare end user will account for 28.5% of the total revenue by 2032.

Qatar Africa Cloud Object Storage Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Storage Type

 Standard Object Storag

 Archive Object Storag

 High-Performance Object Storag

Deployment Model

Public Clou

Private Clou

Hybrid Clou

Industry

IT and Telecom

Media and Entertainment

Energy and Power

Transportation and Logistics

Healthcare

BFSI

Retail

Manufacturing

Public Sector

Other

Organization Size

Large Enterprise

Mid Enterprise

Small Enterprise

Use Case

 Backup and Recover

 Archivin

 Content Distributio

 Big Data Analytic

 Media and Entertainment Storag

 IoT Data Storag

 Web and Mobile Application

 Enterprise Collaboratio

 Compliance and Regulatory Storag

Performance Tier

 Standard Performance Object Storag

 High-Performance Object Storag

 Economical/Cold Storage Object Storag

Pricing Model

 Pay-As-You-G

 Reserved Storag

 Subscription-Based Storag

 

 
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*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]