| Product Code: ETC4394305 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
| Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 | |
The India MLOps market is emerging as machine learning and artificial intelligence applications become integral to various industries. MLOps, or DevOps for machine learning, focuses on streamlining and automating the machine learning model development and deployment process. As more organizations adopt AI and machine learning, the MLOps market is expected to grow, helping companies effectively manage and deploy their machine learning models.
The India MLOps (Machine Learning Operations) Market is being driven by the increasing adoption of machine learning and artificial intelligence in various industries. MLOps streamlines the deployment and management of machine learning models, ensuring they function efficiently and securely in production environments. As organizations continue to invest in AI and ML, MLOps solutions become crucial for maintaining model performance and data governance.
The MLOps market in India faces challenges related to the complexity of machine learning models and the need for efficient deployment and monitoring. Managing data pipelines, version control, and maintaining model consistency is a significant challenge. Additionally, the scarcity of skilled MLOps professionals and the lack of standardized processes can hinder the adoption of MLOps practices.
The COVID-19 pandemic accelerated the adoption of machine learning and artificial intelligence across industries, leading to the growth of the India MLOps Market. As organizations implemented more AI-driven solutions, there was a need for streamlined and efficient processes for model deployment, monitoring, and management. MLOps solutions became essential for ensuring the reliability and scalability of AI models. With the ongoing integration of AI in business operations, the India MLOps Market is likely to continue expanding.
In the India MLOps (Machine Learning Operations) market, key players like DataRobot, Databricks, Alteryx, and H2O.ai are pivotal in offering MLOps platforms and solutions that facilitate the deployment and management of machine learning models, enabling organizations to streamline their machine learning workflows and operationalize AI capabilities.
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 India MLOps Market Overview |
3.1 India Country Macro Economic Indicators |
3.2 India MLOps Market Revenues & Volume, 2021 & 2031F |
3.3 India MLOps Market - Industry Life Cycle |
3.4 India MLOps Market - Porter's Five Forces |
3.5 India MLOps Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.6 India MLOps Market Revenues & Volume Share, By Deployment Mode, 2021 & 2031F |
3.7 India MLOps Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
3.8 India MLOps Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 India MLOps Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of AI and machine learning technologies in India |
4.2.2 Growing demand for automation and optimization of machine learning operations |
4.2.3 Rise in data volume and complexity driving the need for efficient MLOps solutions |
4.3 Market Restraints |
4.3.1 Lack of skilled professionals in MLOps in India |
4.3.2 Data privacy and security concerns hindering MLOps implementation |
4.3.3 Challenges in integrating MLOps with existing IT infrastructure and processes |
5 India MLOps Market Trends |
6 India MLOps Market, By Types |
6.1 India MLOps Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 India MLOps Market Revenues & Volume, By Component, 2021-2031F |
6.1.3 India MLOps Market Revenues & Volume, By Platform, 2021-2031F |
6.1.4 India MLOps Market Revenues & Volume, By Services, 2021-2031F |
6.2 India MLOps Market, By Deployment Mode |
6.2.1 Overview and Analysis |
6.2.2 India MLOps Market Revenues & Volume, By Cloud, 2021-2031F |
6.2.3 India MLOps Market Revenues & Volume, By On-premises, 2021-2031F |
6.3 India MLOps Market, By Organization Size |
6.3.1 Overview and Analysis |
6.3.2 India MLOps Market Revenues & Volume, By Large Enterprises, 2021-2031F |
6.3.3 India MLOps Market Revenues & Volume, By SMEs, 2021-2031F |
6.4 India MLOps Market, By Vertical |
6.4.1 Overview and Analysis |
6.4.2 India MLOps Market Revenues & Volume, By BFSI, 2021-2031F |
6.4.3 India MLOps Market Revenues & Volume, By Healthcare and Life Sciences, 2021-2031F |
6.4.4 India MLOps Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.4.5 India MLOps Market Revenues & Volume, By Telecom, 2021-2031F |
7 India MLOps Market Import-Export Trade Statistics |
7.1 India MLOps Market Export to Major Countries |
7.2 India MLOps Market Imports from Major Countries |
8 India MLOps Market Key Performance Indicators |
8.1 Time-to-market for deploying new machine learning models |
8.2 Average cost reduction achieved through MLOps implementation |
8.3 Rate of successful model deployments compared to failed deployments |
9 India MLOps Market - Opportunity Assessment |
9.1 India MLOps Market Opportunity Assessment, By Component, 2021 & 2031F |
9.2 India MLOps Market Opportunity Assessment, By Deployment Mode, 2021 & 2031F |
9.3 India MLOps Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
9.4 India MLOps Market Opportunity Assessment, By Vertical, 2021 & 2031F |
10 India MLOps Market - Competitive Landscape |
10.1 India MLOps Market Revenue Share, By Companies, 2024 |
10.2 India MLOps Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |