Global Machine Learning Operations (MLOps) Supply, Demand and Key Producers, 2023-2029

Global Machine Learning Operations (MLOps) Supply, Demand and Key Producers, 2023-2029

The global Machine Learning Operations (MLOps) market size is expected to reach $ 5903.6 million by 2029, rising at a market growth of 40.0% CAGR during the forecast period (2023-2029).

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.

This report studies the global Machine Learning Operations (MLOps) demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Machine Learning Operations (MLOps), and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2022 as the base year. This report explores demand trends and competition, as well as details the characteristics of Machine Learning Operations (MLOps) that contribute to its increasing demand across many markets.

Highlights and key features of the study

Global Machine Learning Operations (MLOps) total market, 2018-2029, (USD Million)

Global Machine Learning Operations (MLOps) total market by region & country, CAGR, 2018-2029, (USD Million)

U.S. VS China: Machine Learning Operations (MLOps) total market, key domestic companies and share, (USD Million)

Global Machine Learning Operations (MLOps) revenue by player and market share 2018-2023, (USD Million)

Global Machine Learning Operations (MLOps) total market by Type, CAGR, 2018-2029, (USD Million)

Global Machine Learning Operations (MLOps) total market by Application, CAGR, 2018-2029, (USD Million)

This reports profiles major players in the global Machine Learning Operations (MLOps) market based on the following parameters – company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, DataRobot, SAS, Microsoft, Amazon, Google, Dataiku, Databricks and HPE, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Machine Learning Operations (MLOps) market

Detailed Segmentation:

Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2018-2029 by year with 2022 as the base year, 2023 as the estimate year, and 2024-2029 as the forecast year.

Global Machine Learning Operations (MLOps) Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global Machine Learning Operations (MLOps) Market, Segmentation by Type
On-premise
Cloud
Others

Global Machine Learning Operations (MLOps) Market, Segmentation by Application
BFSI
Healthcare
Retail
Manufacturing
Public Sector
Others

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

Key Questions Answered

1. How big is the global Machine Learning Operations (MLOps) market?

2. What is the demand of the global Machine Learning Operations (MLOps) market?

3. What is the year over year growth of the global Machine Learning Operations (MLOps) market?

4. What is the total value of the global Machine Learning Operations (MLOps) market?

5. Who are the major players in the global Machine Learning Operations (MLOps) market?

6. What are the growth factors driving the market demand?