1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter’s Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. MACHINE LEARNING MODEL OPERATIONALIZATION MANAGEMENT (MLOPS) MARKET BY COMPONENT
4.1. Introduction
4.2. Platform
4.3. Services
5. MACHINE LEARNING MODEL OPERATIONALIZATION MANAGEMENT (MLOPS) MARKET BY DEPLOYMENT
5.1. Introduction
5.2. Cloud
5.3. On-premise
6. MACHINE LEARNING MODEL OPERATIONALIZATION MANAGEMENT (MLOPS) MARKET BY END-USER
6.1. Introduction
6.2. BFSI
6.3. Manufacturing
6.4. IT and Telecom
6.5. Healthcare
6.6. Media and Entertainment
6.7. Others
7. MACHINE LEARNING MODEL OPERATIONALIZATION MANAGEMENT (MLOPS) MARKET BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. USA
7.2.2. Canada
7.2.3. Mexico
7.3. South America
7.3.1. Brazil
7.3.2. Argentina
7.3.3. Others
7.4. Europe
7.4.4.1. Germany
7.4.4.2. France
7.4.4.3. United Kingdom
7.4.4.4. Others
7.5. Middle East and Africa
7.5.1. Saudi Arabia
7.5.2. UAE
7.5.3. Others
7.6. Asia Pacific
7.6.1. China
7.6.2. Japan
7.6.3. India
7.6.4. South Korea
7.6.5. Taiwan
7.6.6. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Emerging Players and Market Lucrativeness
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
9. COMPANY PROFILES
9.1. IBM
9.2. Microsoft
9.3. Amazon Web Services
9.4. Databricks
9.5. Google LLC
9.6. Fractal Analytics Inc.
9.7. Cloudera
9.8. Hewlett-Packard Enterprise Development LP
9.9. DataRobot, Inc.
9.10. Neptune Labs
9.11. Opsio
9.12. Softweb Solutions Inc. (Avnet Company)