Machine Learning Operations(MLOps):the process of taking an experimental Machine Learning model into a production system.
The MLOps market revenue was xx Million USD in 2016, grew to xx Million USD in 2021, and will reach xx Million USD in 2026, with a CAGR of xx during 2021-2026.
Considering the influence of COVID-19 on the global MLOps market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions.
This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery.
Under COVID-19 Outbreak, how the MLOps Industry will develop is also analyzed in detail in Chapter 1.8 of this report.
Major Players in MLOps market are:
Cloudera
Dataiku
Google Cloud
Algorithmia Inc.
HPE
Pachyderm Inc.
Iguazio
Hopworks
H2O.ai, Inc.
Amazon SageMaker
Datarobot
Open ML
SAS
Azure Machine Learning
Modzy
Most important types of MLOps products covered in this report are:
Data Management
Modeling
Continuous Development
Computing & Resource
Most widely used downstream fields of MLOps market covered in this report are:
Data Scientists
ML Engineers
AI Enthusiasts
North America
Europe
China
Japan
Middle East and Africa
South America
India
South Korea
Southeast Asia
Others
In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations.
In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out.
In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.
2020
The MLOps market revenue was xx Million USD in 2016, grew to xx Million USD in 2021, and will reach xx Million USD in 2026, with a CAGR of xx during 2021-2026.
Considering the influence of COVID-19 on the global MLOps market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions.
This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery.
Under COVID-19 Outbreak, how the MLOps Industry will develop is also analyzed in detail in Chapter 1.8 of this report.
Major Players in MLOps market are:
Cloudera
Dataiku
Google Cloud
Algorithmia Inc.
HPE
Pachyderm Inc.
Iguazio
Hopworks
H2O.ai, Inc.
Amazon SageMaker
Datarobot
Open ML
SAS
Azure Machine Learning
Modzy
Most important types of MLOps products covered in this report are:
Data Management
Modeling
Continuous Development
Computing & Resource
Most widely used downstream fields of MLOps market covered in this report are:
Data Scientists
ML Engineers
AI Enthusiasts
Major Region
s or countries covered in this report:North America
Europe
China
Japan
Middle East and Africa
South America
India
South Korea
Southeast Asia
Others
In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations.
In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out.
In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.
Years considered for this report:
Historical Years:
2016-2020Base Year:
2020Estimated Year:
2021Forecast Period:
2021-2026Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
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The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.