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. TECHNOLOGICAL OUTLOOK
5. AI IN PREDICTIVE MAINTENANCE MARKET BY APPLICATION
5.1. Introduction
5.2. Data Gathering and Processing
5.3. Machine Learning Algorithms
5.4. Neural Networks and Deep Learning
5.5. Internet of Things (IoT) Platforms
5.6. Others
6. AI IN PREDICTIVE MAINTENANCE MARKET BY DEPLOYMENT
6.1. Introduction
6.2. Cloud-Based
6.3. On-premise
7. AI IN PREDICTIVE MAINTENANCE MARKET BY END-USER
7.1. Introduction
7.2. Manufacturing
7.3. Energy & Utilities
7.4. Transportation & Logistics
7.5. Healthcare
7.6. Aerospace & Defence
7.7. Others
8. AI IN PREDICTIVE MAINTENANCE MARKET BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. USA
8.2.2. Canada
8.2.3. Mexico
8.3. South America
8.3.1. Brazil
8.3.2. Argentina
8.3.3. Others
8.4. Europe
8.4.1. United Kingdom
8.4.2. Germany
8.4.3. France
8.4.4. Italy
8.4.5. Spain
8.4.6. Others
8.5. Middle East & Africa
8.5.1. Saudi Arabia
8.5.2. UAE
8.5.3. Others
8.6. Asia Pacific
8.6.1. China
8.6.2. India
8.6.3. Japan
8.6.4. South Korea
8.6.5. Thailand
8.6.6. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. C3.ai
10.2. ABB Ltd
10.3. Honeywell
10.4. Siemens
10.5. IBM
10.6. PTC
10.7. Uptake
10.8. Sensata Technologies
10.9. Nanoprecise Sci Corp
10.10. Schneider Electric
10.11. Guidewheel
10.12. Microsoft
10.13. Emerson Electric Co.
11. APPENDIX
11.1. Currency
11.2. Assumptions
11.3. Base and Forecast Years Timeline
11.4. Key benefits for the stakeholders
11.5. Research Methodology
11.6. Abbreviations