Global MLOps Market Growth (Status and Outlook) 2023-2029

Global MLOps Market Growth (Status and Outlook) 2023-2029

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.
The MLOps market covers On-premise, Cloud, etc. The typical players include Cloudera, Dataiku, Datarobot, HPE, etc.
LPI (LP Information)' newest research report, the “MLOps Industry Forecast” looks at past sales and reviews total world MLOps sales in 2022, providing a comprehensive analysis by region and market sector of projected MLOps sales for 2023 through 2029. With MLOps sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world MLOps industry.
This Insight Report provides a comprehensive analysis of the global MLOps landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on MLOps portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global MLOps market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for MLOps and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global MLOps.
The global MLOps market size is projected to grow from US$ million in 2022 to US$ million in 2029; it is expected to grow at a CAGR of % from 2023 to 2029.
North America held a key market revenue share of the MLOps market, which account for 61%. Microsoft, Amazon and Google ranked top 3 of the revenue share in global market.
This report presents a comprehensive overview, market shares, and growth opportunities of MLOps market by product type, application, key players and key regions and countries.
Market Segmentation:
Segmentation by type
On-premise
Cloud
Hybrid
Segmentation by application
BFSI
Healthcare
Retail
Manufacturing
Public Sector
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Microsoft
Amazon
Google
IBM
Dataiku
Lguazio
Databricks
DataRobot, Inc.
Cloudera
Modzy
Algorithmia
HPE
Valohai
Allegro AI
Comet
FloydHub
Paperpace
Cnvrg.io

Please note: The report will take approximately 2 business days to prepare and deliver.