| Product Code: ETC4394307 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
The Malaysia MLOps market is thriving in response to the growing adoption of machine learning and artificial intelligence. MLOps, which combines machine learning with DevOps, streamlines the deployment and management of AI models. Businesses are recognizing the need for efficient MLOps solutions to bring their AI projects to fruition successfully.
The MLOps market in Malaysia is experiencing substantial growth due to several key drivers. The increasing adoption of artificial intelligence (AI) and machine learning (ML) across various sectors is one of the primary drivers. Businesses are leveraging MLOps practices to streamline and automate their machine learning workflows, ensuring the efficient deployment and management of models. Additionally, the need for collaboration and consistency in ML model deployment is pushing organizations to invest in MLOps solutions, driving the market`s expansion.
The Malaysia MLOps market is an evolving landscape, witnessing significant growth in recent years. However, it is not without its share of challenges. One prominent hurdle faced by businesses and organizations operating in this space is the need for skilled professionals proficient in both machine learning and operations. Finding individuals with the necessary expertise to seamlessly integrate machine learning models into production environments remains a considerable challenge. Additionally, ensuring the continuous deployment, monitoring, and maintenance of these models requires sophisticated tools and practices, further contributing to the complexity of MLOps implementation.
MLOps, the practice of merging machine learning and DevOps, gained prominence in Malaysia as organizations sought to streamline the deployment and management of machine learning models. The COVID-19 pandemic emphasized the importance of automation and efficient model deployment, given the rapid changes in consumer behavior and the need for responsive AI systems. The MLOps market continues to grow as businesses look to maintain agility in their AI operations.
In the Malaysia MLOps market, Databricks stands out as a prominent player. Databricks provides an open and unified analytics platform that supports MLOps practices, facilitating collaboration between data science and engineering teams. Additionally, GitLab, a well-known DevOps platform, extends its capabilities to MLOps, offering tools for model versioning and deployment.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Malaysia MLOps Market Overview |
3.1 Malaysia Country Macro Economic Indicators |
3.2 Malaysia MLOps Market Revenues & Volume, 2021 & 2031F |
3.3 Malaysia MLOps Market - Industry Life Cycle |
3.4 Malaysia MLOps Market - Porter's Five Forces |
3.5 Malaysia MLOps Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.6 Malaysia MLOps Market Revenues & Volume Share, By Deployment Mode, 2021 & 2031F |
3.7 Malaysia MLOps Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
3.8 Malaysia MLOps Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 Malaysia MLOps Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of artificial intelligence and machine learning technologies in various industries in Malaysia |
4.2.2 Growing demand for automation and optimization of business processes |
4.2.3 Technological advancements in the field of data analytics and cloud computing in Malaysia |
4.3 Market Restraints |
4.3.1 Lack of skilled professionals in the field of ML Ops in Malaysia |
4.3.2 Data privacy and security concerns hindering the implementation of ML Ops solutions |
4.3.3 High initial investment required for setting up ML Ops infrastructure in organizations |
5 Malaysia MLOps Market Trends |
6 Malaysia MLOps Market, By Types |
6.1 Malaysia MLOps Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 Malaysia MLOps Market Revenues & Volume, By Component, 2021-2031F |
6.1.3 Malaysia MLOps Market Revenues & Volume, By Platform, 2021-2031F |
6.1.4 Malaysia MLOps Market Revenues & Volume, By Services, 2021-2031F |
6.2 Malaysia MLOps Market, By Deployment Mode |
6.2.1 Overview and Analysis |
6.2.2 Malaysia MLOps Market Revenues & Volume, By Cloud, 2021-2031F |
6.2.3 Malaysia MLOps Market Revenues & Volume, By On-premises, 2021-2031F |
6.3 Malaysia MLOps Market, By Organization Size |
6.3.1 Overview and Analysis |
6.3.2 Malaysia MLOps Market Revenues & Volume, By Large Enterprises, 2021-2031F |
6.3.3 Malaysia MLOps Market Revenues & Volume, By SMEs, 2021-2031F |
6.4 Malaysia MLOps Market, By Vertical |
6.4.1 Overview and Analysis |
6.4.2 Malaysia MLOps Market Revenues & Volume, By BFSI, 2021-2031F |
6.4.3 Malaysia MLOps Market Revenues & Volume, By Healthcare and Life Sciences, 2021-2031F |
6.4.4 Malaysia MLOps Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.4.5 Malaysia MLOps Market Revenues & Volume, By Telecom, 2021-2031F |
7 Malaysia MLOps Market Import-Export Trade Statistics |
7.1 Malaysia MLOps Market Export to Major Countries |
7.2 Malaysia MLOps Market Imports from Major Countries |
8 Malaysia MLOps Market Key Performance Indicators |
8.1 Percentage increase in the number of companies adopting ML Ops solutions in Malaysia |
8.2 Average reduction in operational costs achieved by companies implementing ML Ops |
8.3 Improvement in time-to-market for new products or services due to the implementation of ML Ops technologies |
9 Malaysia MLOps Market - Opportunity Assessment |
9.1 Malaysia MLOps Market Opportunity Assessment, By Component, 2021 & 2031F |
9.2 Malaysia MLOps Market Opportunity Assessment, By Deployment Mode, 2021 & 2031F |
9.3 Malaysia MLOps Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
9.4 Malaysia MLOps Market Opportunity Assessment, By Vertical, 2021 & 2031F |
10 Malaysia MLOps Market - Competitive Landscape |
10.1 Malaysia MLOps Market Revenue Share, By Companies, 2024 |
10.2 Malaysia MLOps Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |