The North America Machine Learning Model Operationalization Management (MLOps) Market should 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 Amazon.com, 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 should 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.
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. (Amazon.com, Inc.), Google LLC, IBM Corporation, Hewlett-Packard enterprise Company, Alteryx, Inc., Cloudera, Inc., DataRobot, Inc., Domino Data Lab, Inc., and H2O.ai, Inc.
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 Amazon.com, 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 should 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.
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. (Amazon.com, Inc.), Google LLC, IBM Corporation, Hewlett-Packard enterprise Company, Alteryx, Inc., Cloudera, Inc., DataRobot, Inc., Domino Data Lab, Inc., and H2O.ai, Inc.
Scope of the Study
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. (Amazon.com, Inc.)
- Google LLC
- IBM Corporation
- Hewlett-Packard enterprise Company
- Alteryx, Inc.
- Cloudera, Inc.
- DataRobot, Inc.
- Domino Data Lab, Inc.
- H2O.ai, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Machine Learning Model Operationalization Management (MLOps) Market, by Component
1.4.2 North America Machine Learning Model Operationalization Management (MLOps) Market, by Vertical
1.4.3 North America Machine Learning Model Operationalization Management (MLOps) Market, by Organization size
1.4.4 North America Machine Learning Model Operationalization Management (MLOps) Market, by Deployment Mode
1.4.5 North America Machine Learning Model Operationalization Management (MLOps) Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2018, Nov - 2022, Dec) Leading Players
Chapter 4. North America Machine Learning Model Operationalization Management (MLOps) Market by Component
4.1 North America Platform Market by Country
4.2 North America Services Market by Country
Chapter 5. North America Machine Learning Model Operationalization Management (MLOps) Market by Vertical
5.1 North America BFSI Market by Country
5.2 North America IT & ITeS Market by Country
5.3 North America Manufacturing Market by Country
5.4 North America Retail & Ecommerce Market by Country
5.5 North America Government & Defense Market by Country
5.6 North America Healthcare & Life Sciences Market by Country
5.7 North America Telecom Market by Country
5.8 North America Energy & Utilities Market by Country
5.9 North America Travel & Tourism Market by Country
5.1 North America Other Vertical Market by Country
Chapter 6. North America Machine Learning Model Operationalization Management (MLOps) Market by Organization size
6.1 North America Large Enterprises Market by Country
6.2 North America SMEs Market by Country
Chapter 7. North America Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
7.1 North America Cloud Market by Country
7.2 North America On-premise Market by Country
Chapter 8. North America Machine Learning Model Operationalization Management (MLOps) Market by Country
8.1 US Machine Learning Model Operationalization Management (MLOps) Market
8.1.1 US Machine Learning Model Operationalization Management (MLOps) Market by Component
8.1.2 US Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.1.3 US Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.1.4 US Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
8.2 Canada Machine Learning Model Operationalization Management (MLOps) Market
8.2.1 Canada Machine Learning Model Operationalization Management (MLOps) Market by Component
8.2.2 Canada Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.2.3 Canada Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.2.4 Canada Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
8.3 Mexico Machine Learning Model Operationalization Management (MLOps) Market
8.3.1 Mexico Machine Learning Model Operationalization Management (MLOps) Market by Component
8.3.2 Mexico Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.3.3 Mexico Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.3.4 Mexico Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
8.4 Rest of North America Machine Learning Model Operationalization Management (MLOps) Market
8.4.1 Rest of North America Machine Learning Model Operationalization Management (MLOps) Market by Component
8.4.2 Rest of North America Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.4.3 Rest of North America Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.4.4 Rest of North America Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
Chapter 9. Company Profiles
9.1 Microsoft Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.6 SWOT Analysis
9.2 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental Analysis
9.2.4 Recent strategies and developments:
9.2.4.1 Partnerships, Collaborations, and Agreements:
9.2.4.2 Product Launches and Product Expansions:
9.2.5 SWOT Analysis
9.3 Google LLC
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expense
9.3.5 Recent strategies and developments:
9.3.5.1 Product Launches and Product Expansions:
9.3.6 SWOT Analysis
9.4 IBM Corporation
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Regional & Segmental Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent strategies and developments:
9.4.5.1 Acquisition and Mergers:
9.4.1 SWOT Analysis
9.5 Hewlett Packard Enterprise Company
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expense
9.5.5 Recent strategies and developments:
9.5.5.1 Product Launches and Product Expansions:
9.5.5.2 Acquisition and Mergers:
9.6 Alteryx, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Regional Analysis
9.6.4 Research & Development Expense
9.6.5 Recent strategies and developments:
9.6.5.1 Product Launches and Product Expansions:
9.7 Cloudera, Inc.
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental Analysis
9.7.4 Research & Development Expense
9.8 DataRobot, Inc.
9.8.1 Company Overview
9.8.2 Recent strategies and developments:
9.8.2.1 Acquisition and Mergers:
9.9 Domino Data Lab, Inc.
9.9.1 Company Overview
9.9.2 Recent strategies and developments:
9.9.2.1 Partnerships, Collaborations, and Agreements:
9.9.2.2 Product Launches and Product Expansions:
9.10. H2O.ai, Inc.
9.10.1 Company Overview
9.10.2 Recent strategies and developments:
9.10.2.1 Partnerships, Collaborations, and Agreements:
9.10.2.2 Product Launches and Product Expansions:
Companies Mentioned
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Google LLC
- IBM Corporation
- Hewlett-Packard enterprise Company
- Alteryx, Inc.
- Cloudera, Inc.
- DataRobot, Inc.
- Domino Data Lab, Inc.
- H2O.ai, Inc.
Methodology
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