North America Machine Learning Model Operationalization Management (MLOps) Market

North America Machine Learning Model Operationalization Management (MLOps) Market Size, Share & Industry Trends Analysis Report By Component (Platform and Services), By Vertical, By Organization size (Large Enterprises and SMEs), By Deployment Mode, By Country and Growth Forecast, 2022 - 2028

Report Id: KBV-12900 Publication Date: December-2022 Number of Pages: 112
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Market Report Description

The North America Machine Learning Model Operationalization Management (MLOps) Market would witness market growth of 37.5% CAGR during the forecast period (2022-2028).

By developing more effective workflows, utilizing data analytics for decision-making, and enhancing customer experience, machine learning enables people and organizations to implement solutions that uncover previously untapped revenue streams, save time, and save costs.

These objectives are easier to achieve with a strong plan to adhere to. Faster go-to-market times and lower operating costs result from automating model creation and deployment with MLOps. In addition, managers and developers benefit from being able to make decisions more quickly and strategically. MLOps acts as a road map to help individuals, small teams, and enterprises achieve their objectives despite obstacles like sensitive data, a lack of resources, a tight budget, etc.

The market size in the region is increased by the presence of significant R&D investors such as, IBM, and Oracle Corporation. Moreover, because of significant expenditures and an existing IT infrastructure, the market in North America is expected to grow. For instance, the Defense Advanced Research Projects Agency (DARPA) of the United States invested USD 2 billion in AI research. With the help of wise federal investments in cutting-edge technology and the presence of brilliant scientists and entrepreneurs from internationally renowned research institutions, North America has a strong innovation ecosystem that has sped up the development of ML.

The US market dominated the North America Machine Learning Model Operationalization Management (MLOps) Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $2,409.3 million by 2028. The Canada market is poised to grow at a CAGR of 40.6% during (2022 - 2028). Additionally, The Mexico market would witness a CAGR of 39.4% during (2022 - 2028).

Based on Component, the market is segmented into Platform and Services. Based on Vertical, the market is segmented into BFSI, IT & ITeS, Manufacturing, Retail & Ecommerce, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, and Others. Based on Organization size, the market is segmented into Large Enterprises and SMEs. Based on Deployment Mode, the market is segmented into Cloud and On-premise. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

Free Valuable Insights: The Global Machine Learning Model Operationalization Management (MLOps) Market is Predict to reach $8.5 Billion by 2028, at a CAGR of 38.9%

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Amazon Web Services, Inc. (, Inc.), Google LLC, IBM Corporation, Hewlett-Packard enterprise Company, Alteryx, Inc., Cloudera, Inc., DataRobot, Inc., Domino Data Lab, Inc., and, Inc.

Scope of the Study

Market Segments Covered in the Report:

By Component

  • Platform
  • Services

By Vertical

  • BFSI
  • IT & ITeS
  • Manufacturing
  • Retail & Ecommerce
  • Government & Defense
  • Healthcare & Life Sciences
  • Telecom
  • Energy & Utilities
  • Travel & Tourism
  • Others

By Organization size

  • Large Enterprises
  • SMEs

By Deployment Mode

  • Cloud
  • On-premise

By Country

  • US
  • Canada
  • Mexico
  • Rest of North America

Key Market Players

List of Companies Profiled in the Report:

  • Microsoft Corporation
  • Amazon Web Services, Inc. (, Inc.)
  • Google LLC
  • IBM Corporation
  • Hewlett-Packard enterprise Company
  • Alteryx, Inc.
  • Cloudera, Inc.
  • DataRobot, Inc.
  • Domino Data Lab, Inc.
  •, Inc.
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