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Publication: July 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: CCT15175 
  Pages: 110+  

Kenya Cloud Container Market Size and Forecast by Type, Deployment Model, Industry, Organization Size, Use Cases, Orchestration Platform, and Service Type: 2019-2032

Report Format: PDF DataSheet |   Pages: 110+  

 July 2024  | 

Kenya Cloud Container Market Growth and Performance

  • Anticipated revenue for the Kenya cloud container market in 2032 is to reach US$ 91.8 Million, with an expected Compound Annual Growth Rate (CAGR) of 18.5% from 2024 to 2032.
  • In 2023, the cloud container industry size hit US$ 19.4 Million.
  • In terms of type category, the leading segment is projected to be application containers, to be valued at US$ 78.3 Million by 2032.
  • By end user, IT and Telecom end user is expected to play a significant role, contributing 22.9% of the total revenue in the Kenya cloud container market by 2032.

Kenya Cloud Container Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Type

Application container

System container

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 Cases

 Microservices Architectur

 DevOp

 Continuous Integration/Continuous Deployment (CI/CD

 Big Data Analytic

 Artificial Intelligence and Machine Learnin

 Edge Computin

 Testing and Developmen

 Enterprise Application

 Gamin

Orchestration Platform

 Kubernete

 Docker Swar

 Apache Meso

 OpenShif

 Ranche

Service Type

 Container Runtim

 Container Orchestration and Managemen

 Container Securit

 Container Networkin

 Container Storag

 Container Monitoring and Loggin


*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]