Publication: May 2025
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: AI42745 
  Pages: 110+
 

Malaysia Cloud Container Market Analysis, Size, and Forecast by Type, Deployment Model, Industry, Organization Size, Use Cases, Orchestration Platform, and Service Type: 2019-2033

Report Format: PDF DataSheet |   Pages: 110+  

 May 2025  | 

Malaysia Cloud Container Market Growth and Performance


  • The revenue of the Malaysia cloud container market in 2023, stood at US$ 18.3 Million.
  • Furthermore, projections indicate that the cloud container market in Malaysia is poised for sustained growth, with an anticipated annual growth rate of 15.0% from 2024 to 2032, as denoted by the Compound Annual Growth Rate (CAGR).

Malaysia Cloud Container Market Outlook

Malaysia cloud container market is experiencing rapid expansion as businesses prioritize containerized applications, Kubernetes orchestration, and cloud-native development to enhance agility, scalability, and cost efficiency. The increasing adoption of microservices architecture, DevOps automation, and AI-driven workloads is driving the demand for containerized cloud environments that enable seamless deployment, portability, and management of applications across hybrid and multi-cloud infrastructures. Recent investments by AWS, Microsoft, and Google Cloud in Malaysia’s cloud ecosystem, totaling over RM16.9 billion, are accelerating the adoption of managed Kubernetes services, ensuring that enterprises benefit from automated scaling, security, and performance optimization.

Industry insights indicate that 73% of Malaysian enterprises have already deployed containerized applications, with 62% planning to migrate more than half of their workloads to container platforms by 2026. A survey of 350 Malaysian IT decision-makers found that 80% consider Kubernetes a critical technology for cloud-native application modernization, citing scalability, cost reduction, and automation as primary advantages. Leading industries, including BFSI, telecommunications, and e-commerce, are leveraging Google Kubernetes Engine (GKE), Amazon EKS, and Azure Kubernetes Service (AKS) to drive real-time analytics, AI model training, and edge computing applications.

The increasing focus on multi-cloud and hybrid cloud strategies has led 67% of enterprises to adopt open-source container orchestration frameworks for improved interoperability and workload portability. Security remains a key priority, with 69% of organizations integrating AI-driven threat detection and zero-trust security models into their container environments. Additionally, the Malaysian government’s push for sovereign cloud solutions has led to increased adoption of on-premises Kubernetes clusters and confidential computing frameworks to comply with data localization laws and regulatory requirements. As businesses continue to invest in serverless computing, container security solutions, and AI-powered container optimization, Malaysia’s cloud container market is poised for sustained growth, ensuring high-performance, resilient, and cost-effective cloud-native solutions.

Malaysia Cloud Container Market Scope

Analysis Period

2019-2033

Actual Data

2019-2024

Base Year

2024

Estimated Year

2025

CAGR Period

2025-2033

 

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

 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



*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]