Machine Learning Model Operationalization Management Global Market Research Report 2024-2028 and 2033: Real-time Decision-Making Leveraging MLOps for Informed Business Insights

Dublin, April 22, 2024 (GLOBE NEWSWIRE) -- The "Machine Learning Model Operationalization Management Global Market Report 2024" report has been added to ResearchAndMarkets.com's offering.

The machine learning model operationalization management market size has grown exponentially in recent years. It will grow from $1.31 billion in 2023 to $1.92 billion in 2024 at a compound annual growth rate (CAGR) of 46.7%. The machine learning model operationalization management market size is expected to see exponential growth in the next few years. It will grow to $7.85 billion in 2028 at a compound annual growth rate (CAGR) of 42.1%.

The growth in the historic period can be attributed to the increasing adoption rate of machine learning, growing adoption of machine learning (ML), rising complexity of models, increased data volumes, and the rise of edge computing.



The forecasted growth in the upcoming period can be attributed to several factors, including the increasing demand for automation, a focus on model governance and compliance, integration with DevOps practices, a heightened focus on cost optimization, and increased investment in AI infrastructure. Major trends expected during this period include automated model deployment, technological advancements, and advancements in Automated Machine Learning (AutoML) practices.

The increasing demand for decision-making is expected to drive the growth of the machine learning model operationalization management market in the future. Decision-making involves making informed decisions quickly by utilizing up-to-date data and analytics. Machine learning model operationalization management (MLOps) facilitates real-time decision-making by enabling efficient deployment, monitoring, and management of machine learning models in production environments. The demand for decision-making is fueling the growth of the machine learning model operationalization management market.

Major companies in the machine learning model operationalization management market are focusing on developing innovative products, including AutoML tools, to make machine learning more accessible, efficient, and scalable for organizations. AutoML (Automated Machine Learning) tools automate the process of building and deploying machine learning models.

North America was the largest region in the machine learning model operationalization management market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The countries covered in the machine learning model operationalization management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Key Attributes:

Key Topics Covered:

1. Executive Summary

2. Machine Learning Model Operationalization Management Market Characteristics

3. Machine Learning Model Operationalization Management Market Trends And Strategies

4. Machine Learning Model Operationalization Management Market - Macro Economic Scenario
4.1. Impact Of High Inflation On The Market
4.2. Ukraine-Russia War Impact On The Market
4.3. COVID-19 Impact On The Market

5. Global Machine Learning Model Operationalization Management Market Size and Growth
5.1. Global Machine Learning Model Operationalization Management Market Drivers and Restraints
5.1.1. Drivers Of The Market
5.1.2. Restraints Of The Market
5.2. Global Machine Learning Model Operationalization Management Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
5.3. Global Machine Learning Model Operationalization Management Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Machine Learning Model Operationalization Management Market Segmentation
6.1. Global Machine Learning Model Operationalization Management Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

• Platform
• Services

6.2. Global Machine Learning Model Operationalization Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

• Cloud
• On-premise

6.3. Global Machine Learning Model Operationalization Management Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

• Large Enterprises
• Small And Medium Enterprises (SMEs)

6.4. Global Machine Learning Model Operationalization Management Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

• Banking, Financial Services And Insurance (BFSI)
• Manufacturing
• Information Technology (IT) And Telecom
• Healthcare
• Media And Entertainment

7. Machine Learning Model Operationalization Management Market Regional And Country Analysis
7.1. Global Machine Learning Model Operationalization Management Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global Machine Learning Model Operationalization Management Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

A selection of companies mentioned in this report includes, but is not limited to:

• Amazon.com Inc.
• Google LLC
• Microsoft Corporation
• Dataiku
• Azure Machine
• IBM Corporation
• Hewlett-Packard enterprise Company
• Databricks Inc.
• Alteryx Inc.
• Aporia
• Cloudera Inc.
• DataRobot Inc.
• Fractal Analytics Inc.
• Domino Data Lab Inc.
• Seldon Technologies Limited
• Iguazio
• NeptuneLabs GmbH
• Saturn Cloud Inc.
• H2O.ai Inc.
• ModelOp
• Algorithmia
• SAS Model Manager
• SAS Viya

For more information about this report visit https://www.researchandmarkets.com/r/2zu2xi

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• Global Machine Learning Model Operationalization Management Market