Machine Learning Operations (MLOps) Market, Global Outlook and Forecast 2023-2032
MLOps is the process of taking an experimental Machine Learning model into a production system. The word is a compound of ?Machine Learning? and the continuous development practice of DevOps in the software field. Machine Learning models are tested and developed in isolated experimental systems. When an algorithm is ready to be launched, MLOps is practiced between Data Scientists, DevOps, and Machine Learning engineers to transition the algorithm to production systems. Similar to DevOps or DataOps approaches, MLOps seeks to increase automation and improve the quality of production models, while also focusing on business and regulatory requirements. While MLOps started as a set of best practices, it is slowly evolving into an independent approach to ML lifecycle management. MLOps applies to the entire lifecycle - from integrating with model generation (software development lifecycle, continuous integration/continuous delivery), orchestration, and deployment, to health, diagnostics, governance, and business metrics.
This report contains market size and forecasts of Machine Learning Operations (MLOps) in Global, including the following market information:
Global Machine Learning Operations (MLOps) Market Size 2024-2032, ($ millions)
The global Machine Learning Operations (MLOps) market is projected to reach US$ million by 2029.
We surveyed the Machine Learning Operations (MLOps) companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Machine Learning Operations (MLOps) Market, by Type, 2024-2032 ($ millions)
Global Machine Learning Operations (MLOps) Market Segment Percentages, by Type
On-premise
Cloud
Hybrid
Global Machine Learning Operations (MLOps) Market, by Application, 2024-2032 ($ millions)
Global Machine Learning Operations (MLOps) Market Segment Percentages, by Application
BFSI
Healthcare
Retail
Manufacturing
Public Sector
Others
Global Machine Learning Operations (MLOps) Market, By Region and Country, 2024-2032 ($ Millions)
Global Machine Learning Operations (MLOps) Market Segment Percentages, by region and country
United States
Europe
Asia
China
Rest of World
Competitor Analysis
The report also provides analysis of leading market participants including:
Further, the report presents profiles of competitors in the market, key players include:
Microsoft
Amazon
Google
IBM
Dataiku
Lguazio
Databricks
DataRobot, Inc.
Cloudera
Modzy
Algorithmia
HPE
Valohai
Allegro AI
Comet
FloydHub
Paperpace
Cnvrg.io
