MLOps Market

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.

MLOps Market contains market size and forecasts of MLOps in Global, including the following market information:

Global MLOps Market Revenue, 2017-2022, 2023-2028, ($ millions)

Global top five companies in 2021 (%)

The global MLOps market was valued at million in 2021 and is projected to reach US$ million by 2028, at a CAGR of % during the forecast period.

The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.

On-premise Segment to Reach $ Million by 2028, with a % CAGR in next six years.

The global key manufacturers of MLOps include Microsoft, Amazon, Google, IBM, Dataiku, Lguazio, Databricks, DataRobot, Inc. and Cloudera, etc. In 2021, the global top five players have a share approximately % in terms of revenue.

We surveyed the 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 MLOps Market, by Type, 2017-2022, 2023-2028 ($ millions)

Global MLOps Market Segment Percentages, by Type, 2021 (%)

On-premise

Cloud

Hybrid

Global MLOps Market, by Application, 2017-2022, 2023-2028 ($ millions)

Global MLOps Market Segment Percentages, by Application, 2021 (%)

BFSI

Healthcare

Retail

Manufacturing

Public Sector

Others

Global MLOps Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)

Global MLOps Market Segment Percentages, By Region and Country, 2021 (%)

North America

US

Canada

Mexico

Europe

Germany

France

U.K.

Italy

Russia

Nordic Countries

Benelux

Rest of Europe

Asia

China

Japan

South Korea

Southeast Asia

India

Rest of Asia

South America

Brazil

Argentina

Rest of South America

Middle East & Africa

Turkey

Israel

Saudi Arabia

UAE

Rest of Middle East & Africa

Competitor Analysis

The report also provides analysis of leading market participants including:

Key companies MLOps revenues in global market, 2017-2022 (estimated), ($ millions)

Key companies MLOps revenues share in global market, 2021 (%)

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