Global MLOps Market Report By Component (Platform, Service), By Deployment Mode (On Premise, Cloud), By Organization Size (Large Enterprises, Small And Medium-sized Enterprises), By Industrial Vertical (BFSI, Manufacturing, IT And Telecom, Retail And E-commerce, Energy And Utility, Healthcare, Media And Entertainment, Others) And By Regions - Industry Trends, Size, Share, Growth, Estimation and Forecast, 2023-2032

The global demand for MLOps Market is presumed to reach the market size of nearly USD 24.89 BN by 2028 from USD 1.39 BN in 2021 with a CAGR of 51% under the study period 2022 - 2028.

MLOps is a set of practices and/or tools that enable organizations to manage and optimize the end-to-end machine learning life cycle. It is also known as machine learning operations. This includes everything from data preparation and model development to deployment and monitoring. The goal of MLOps is to enable organizations to deploy machine learning (ML) models in a production environment while maintaining high levels of performance and accuracy. 

Market Dynamics

The MLOps market's growth is driven by the increasing adoption of MLOps technology across enterprises to improve operations and productivity. Moreover, the growing digital and internet penetration worldwide positively impacts the market. Furthermore, increased investments in the healthcare sector and the need for faster and more accurate predictions are driving organizations to adopt MLOps practices to improve the performance and reliability of their machine learning. However, the lack of skilled professionals with expertise in machine learning and IT may limit the market's growth.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of mlops. The growth and trends of mlops industry provide a holistic approach to this study. 

Market Segmentation

This section of the mlops market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities. 

By Component

• Platform
• Service

By Deployment Mode

• On Premise
• Cloud

By Organization Size

• Large Enterprises
• Small And Medium-Sized Enterprises

By Industrial Vertical

• BFSI
• Manufacturing
• IT And Telecom
• Retail And E-Commerce
• Energy And Utility
• Healthcare
• Media And Entertainment
• Others

Regional Analysis

This section covers the regional outlook, which accentuates current and future demand for the MLOps market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

Global MLOps Market Share by Region (Representative Graph)

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the mlops market include Akira AI, Amazon Web Services Inc., Cloudera Inc., DataRobot Inc., Google LLC, IBM Corporation, Databricks Inc., GAVS Technologies, Microsoft Corporation, Alteryx. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.