Table of Content

Table of Contents
1.0 Executive Summary
1.1 Research Scope
1.2 Research Methodology
1.3 Research Methodology Explained

2.0 Technology Overview
2.1 Overview of Automating Multicloud Management Using AI
2.2 AI-powered Automated Multicloud Management Architecture
2.3 Different Types of AI Technologies for Multicloud Management

3.0 Market Landscape
3.1 Market Drivers
3.2 Market Challenges
3.3 Automated Multicloud Management Using AI – Operating Model

4.0 Industry Impact
4.1 Key Target Verticals – Overview
4.2 Banking
4.3 Healthcare
4.4 Automotive
4.5 Retail

5.0 Key Leading Companies
5.1 Actifio
5.2 Unravel Data
5.3 Rubrik
5.4 Nutanix
5.5 Morpheus Data
5.6 Other Companies

6.0 Patent Analysis
6.1 AI Related Innovations in Multicloud Management Are Increasing Commercially
6.2 IP-Investment for Automated Multicloud Management will Increase in the Next 5 Years
6.3 IBM in Automating Multicloud Management with AI

7.0 Growth Opportunity
7.1 Automated Multicloud Management Enables Enterprises to Optimally Utilize Cloud Resources
7.2 A Strategic Technology Sourcing Approach will Significantly Improve the Cloud TCO and Performance

8.0 Industry Contacts
8.1 Key Contacts
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