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

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

The global Machine Learning Operations (MLOps) market size is projected to grow from US$ 533.7 million in 2022 to US$ 6625.2 million in 2029; it is expected to grow at a CAGR of 43.3% from 2023 to 2029.

The key vendors providing Machine Learning Operations (MLOps) worldwide are IBM, DataRobot, SAS, Microsoft, Amazon, Google, Dataiku, Databricks, and others. The top five vendors together hold over 45% of the market share, with the largest producer being IBM with 10% of the market share. The major regions offering machine learning operations globally are North America, Europe, China, and the Middle East. In terms of their product categories, on-premise type have the highest market share at over 55%, followed by cloud MLOps at 35%. In terms of its applications, BFSI is its top application area, with over 25% market share, followed by the public sector and manufacturing.

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.

LPI (LP Information)' newest research report, the “Machine Learning Operations (MLOps) Industry Forecast” looks at past sales and reviews total world Machine Learning Operations (MLOps) sales in 2022, providing a comprehensive analysis by region and market sector of projected Machine Learning Operations (MLOps) sales for 2023 through 2029. With Machine Learning Operations (MLOps) sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Machine Learning Operations (MLOps) industry.

This Insight Report provides a comprehensive analysis of the global Machine Learning Operations (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 Machine Learning Operations (MLOps) portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Machine Learning Operations (MLOps) market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Machine Learning Operations (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 Machine Learning Operations (MLOps).

This report presents a comprehensive overview, market shares, and growth opportunities of Machine Learning Operations (MLOps) market by product type, application, key players and key regions and countries.

Market Segmentation:

Segmentation by type
On-premise
Cloud
Others

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.
IBM
DataRobot
SAS
Microsoft
Amazon
Google
Dataiku
Databricks
HPE
Lguazio
ClearML
Modzy
Comet
Cloudera
Paperpace
Valohai

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