LAMEA Machine Learning Model Operationalization Management (MLOps) Market

LAMEA 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-12899 Publication Date: December-2022 Number of Pages: 127
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Market Report Description

The Latin America, Middle East and Africa Machine Learning Model Operationalization Management (MLOps) Market would witness market growth of 47.2% CAGR during the forecast period (2022-2028).

MLOps projects frequently aim to hasten the model deployment process because that is when models begin to produce commercial value. According to MLOps, putting in more work upfront would boost the long-term value of implemented ML solutions by decreasing maintenance costs and streamlining the deployment of new models.

The main goal of a machine learning project is to build a statistical model using collected data and machine learning methods. Data, ML models, and code are thus the three primary artefacts of every ML-based product.

More businesses are testing machine learning (ML). Both a model and its implementation in the real world must be built. Teams must integrate the trained ML model into the core codebase to fully utilize the built ML model by making it accessible to our core software system. Teams must therefore put the ML model into production.

The oil-rich Gulf States are aggressively working to diversify their economies throughout the Middle East and Africa utilizing artificial intelligence and machine learning. The majority of Gulf nations, which are constantly seeking to develop new technologies, have acknowledged the significance of modern technology. The Arab region is led by the United Arab Emirates in terms of technical innovation and acceptance. Additionally, the region's focus on smart cities and driverless vehicles is driving demand for AI expertise.

The Brazil market dominated the LAMEA 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 $182 million by 2028. The Argentina market is experiencing a CAGR of 48% during (2022 - 2028). Additionally, The UAE market would display a CAGR of 46.8% 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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

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

  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

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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