| Product Code: ETC4394311 | 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 |
In the realm of machine learning operations (MLOps), Vietnam is witnessing a growing market as organizations focus on streamlining and optimizing their machine learning workflows. MLOps involves the integration of machine learning models into the development and deployment processes, ensuring efficient collaboration between data scientists and IT operations. The Vietnam MLOps Market is crucial for enterprises aiming to scale their machine learning initiatives while maintaining model accuracy, reliability, and security.
The Vietnam MLOps (Machine Learning Operations) market is gaining momentum due to several prominent drivers. Firstly, the adoption of machine learning and artificial intelligence in various sectors, such as finance, healthcare, and manufacturing, has grown significantly. This growth necessitates the effective management of machine learning models throughout their lifecycle, leading to a surge in demand for MLOps solutions. Secondly, the rapid digitization of businesses in Vietnam has created vast amounts of data, making it essential to develop efficient models for data analysis and decision support. MLOps provides the infrastructure and processes to streamline the development, deployment, and management of machine learning models. Thirdly, the need for compliance and accountability in AI operations is driving organizations to adopt MLOps practices to ensure that models are transparent, traceable, and ethical. Additionally, the COVID-19 pandemic has accelerated the adoption of automation and AI, further fueling the MLOps market. Lastly, the increasing competition in the global marketplace requires businesses in Vietnam to stay ahead in innovation and efficiency, which can be achieved through MLOps. In summary, the Vietnam MLOps market is driven by the growing reliance on AI, increasing data volumes, and the need for accountability and efficiency.
The Vietnam MLOps market confronts several challenges that affect its development. One of the major issues is the shortage of skilled professionals with expertise in machine learning and DevOps, which is crucial for implementing MLOps practices effectively. Moreover, data quality and availability can be inconsistent, hampering the successful deployment of machine learning models in real-world applications. Compliance and regulatory concerns regarding data usage and model deployment can also pose challenges for MLOps adoption in Vietnam.
The COVID-19 pandemic has accelerated the adoption of machine learning (ML) and artificial intelligence (AI) technologies in Vietnam, consequently impacting the MLOps Market. With the increased integration of ML models into business processes, organizations are focusing on MLOps solutions to streamline the deployment, monitoring, and management of machine learning models. The pandemic has highlighted the need for agile and efficient ML operations, and the Vietnam MLOps Market is witnessing a growing recognition of the role these solutions play in ensuring the reliability and scalability of ML models in rapidly changing environments.
In the rapidly evolving MLOps landscape in Vietnam, several key players have emerged to facilitate the seamless deployment and management of machine learning models. MLOps Vietnam Solutions is a prominent player, offering end-to-end solutions for the machine learning lifecycle. AIOps Innovators Vietnam is also noteworthy, providing MLOps solutions that enhance model governance and collaboration among data science teams.
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 Vietnam MLOps Market Overview |
3.1 Vietnam Country Macro Economic Indicators |
3.2 Vietnam MLOps Market Revenues & Volume, 2021 & 2031F |
3.3 Vietnam MLOps Market - Industry Life Cycle |
3.4 Vietnam MLOps Market - Porter's Five Forces |
3.5 Vietnam MLOps Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.6 Vietnam MLOps Market Revenues & Volume Share, By Deployment Mode, 2021 & 2031F |
3.7 Vietnam MLOps Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
3.8 Vietnam MLOps Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 Vietnam 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 Vietnam |
4.2.2 Growing demand for automation and optimization of machine learning operations in businesses |
4.2.3 Rising investments in technology infrastructure and digital transformation initiatives in the country |
4.3 Market Restraints |
4.3.1 Limited awareness and understanding of MLOps practices and benefits among businesses in Vietnam |
4.3.2 Lack of skilled professionals and expertise in MLOps within the local workforce |
4.3.3 Challenges related to data privacy and security concerns impacting the adoption of MLOps solutions |
5 Vietnam MLOps Market Trends |
6 Vietnam MLOps Market, By Types |
6.1 Vietnam MLOps Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 Vietnam MLOps Market Revenues & Volume, By Component, 2021-2031F |
6.1.3 Vietnam MLOps Market Revenues & Volume, By Platform, 2021-2031F |
6.1.4 Vietnam MLOps Market Revenues & Volume, By Services, 2021-2031F |
6.2 Vietnam MLOps Market, By Deployment Mode |
6.2.1 Overview and Analysis |
6.2.2 Vietnam MLOps Market Revenues & Volume, By Cloud, 2021-2031F |
6.2.3 Vietnam MLOps Market Revenues & Volume, By On-premises, 2021-2031F |
6.3 Vietnam MLOps Market, By Organization Size |
6.3.1 Overview and Analysis |
6.3.2 Vietnam MLOps Market Revenues & Volume, By Large Enterprises, 2021-2031F |
6.3.3 Vietnam MLOps Market Revenues & Volume, By SMEs, 2021-2031F |
6.4 Vietnam MLOps Market, By Vertical |
6.4.1 Overview and Analysis |
6.4.2 Vietnam MLOps Market Revenues & Volume, By BFSI, 2021-2031F |
6.4.3 Vietnam MLOps Market Revenues & Volume, By Healthcare and Life Sciences, 2021-2031F |
6.4.4 Vietnam MLOps Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.4.5 Vietnam MLOps Market Revenues & Volume, By Telecom, 2021-2031F |
7 Vietnam MLOps Market Import-Export Trade Statistics |
7.1 Vietnam MLOps Market Export to Major Countries |
7.2 Vietnam MLOps Market Imports from Major Countries |
8 Vietnam MLOps Market Key Performance Indicators |
8.1 Average deployment time for machine learning models in organizations |
8.2 Percentage increase in productivity and efficiency post-implementation of MLOps practices |
8.3 Number of MLOps training programs and workshops conducted in Vietnam |
8.4 Rate of adoption of MLOps tools and platforms among businesses in the country |
8.5 Number of successful MLOps case studies and implementations in different industries in Vietnam |
9 Vietnam MLOps Market - Opportunity Assessment |
9.1 Vietnam MLOps Market Opportunity Assessment, By Component, 2021 & 2031F |
9.2 Vietnam MLOps Market Opportunity Assessment, By Deployment Mode, 2021 & 2031F |
9.3 Vietnam MLOps Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
9.4 Vietnam MLOps Market Opportunity Assessment, By Vertical, 2021 & 2031F |
10 Vietnam MLOps Market - Competitive Landscape |
10.1 Vietnam MLOps Market Revenue Share, By Companies, 2024 |
10.2 Vietnam MLOps Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |