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Machine Learning Model Operationalization Management Market Report 2024-2033 : Industry Analysis, Size, Share, Growth And Forecast | Amazon.com Inc., Google LLC, Microsoft Corporation, Dataiku, Azure Machine, IBM Corporation

03-20-2024 05:40 AM CET | IT, New Media & Software

Press release from: The Business Research Company

Machine Learning Model Operationalization Management Global Market Report 2024

Machine Learning Model Operationalization Management Global Market Report 2024

"The Business Research Company has released its latest global market reports, covering insights for 2024 and offering projections up to 2033.

The Business Research Company presents an extensive market research report on the Machine Learning Model Operationalization Management Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.

Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.

Market Sizing:

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

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 forecast period can be attributed to demand for automation, focus on model governance and compliance, integration with DevOps practices, focus on cost optimization, and increased investment in AI infrastructure. Major trends in the forecast period include automated model deployment, technological advancements and AutoML advancements.

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Key Market Players:

Major companies operating in the machine learning model operationalization management market report are 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

Market Drivers:

The increasing demand for decision-making is expected to propel the growth of the machine learning model operationalization management market going forward. Decision-making refers to the ability to make informed decisions quickly by utilizing up-to-the-minute data and analytics. Machine learning model operationalization management (MLOps) helps in real-time decision-making by enabling the efficient deployment, monitoring, and management of machine learning models in production environments. For instance, in September 2022, according to a report by CIO, a US-based magazine related to technology and IT, around 88% of IT decision-makers agreed that data collection and analysis have the potential, and 84% of organizations have already deployed or have data-driven projects on their roadmaps. Therefore, demand for decision-making is driving the growth of the machine learning model operationalization management market.

Learn More About The Market Report -
https://www.thebusinessresearchcompany.com/report/machine-learning-model-operationalization-management-global-market-report

The machine learning model operationalization management market covered in this report is segmented -

1) By Component: Platform, Services
2) By Deployment Mode: Cloud, On-premise
3) By Organization Size: Large Enterprises, Small And Medium Enterprises (SMEs)
4) By End User: Banking, Financial Services And Insurance (BFSI), Manufacturing, Information Technology (IT) And Telecom, Healthcare, Media And Entertainment

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