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Publication: August 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: CCT15746 
  Pages: 110+  

Kenya 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  | 

Kenya Cloud Object Storage Market Growth and Performance

  • Anticipated revenue for the Kenya cloud object storage market in 2032 is to reach US$ 410.6 Million, with an expected Compound Annual Growth Rate (CAGR) of 16.5% from 2024 to 2032.
  • In 2023, the cloud object storage industry size hit US$ 101.2 Million.
  • In terms of storage type category, the leading segment is projected to be standard object storage, to be valued at US$ 195.8 Million by 2032.
  • By end user, IT and Telecom end user is expected to play a significant role, contributing 23.5% of the total revenue in the Kenya cloud object storage market by 2032.

Kenya 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

 

 

*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]