Table of Content

Table of Contents
1.0 Executive Summary
1.1 Research Scope
1.2 Research Methodology
1.3 Research Methodology Explained
1.4 Summary of Key Findings
1.4 Summary of Key Findings (continued)
2.0 Overview of AI-driven Consumer Electronic Products
2.1 Adding Value to Consumer Products, AI Resulting in Stronger Customer Relationships
2.2 Artificial Intelligence in Consumer Electronics – The First Wave!
2.3 Power Constraints Delaying Adoption of Consumer Robots
3.0 Emerging AI Trends – High Impact Applications
3.1 Smart Homes and Smart TVs are Key Trends Driving Adoption of AI-based Devices
3.2 Edge Intelligence Driving Adoption of AI in Consumer Electronics
3.3 OEMs Focused on Developing Proprietary AI-enabled Consumer Electronic Products
4.0 Environment Analysis: Innovation Drivers, Challenges, and Regional Insights
4.1 Factors Driving Adoption of AI-enabled Consumer Electronic Products
4.2 Challenges Hindering Adoption of AI in Consumer Electronics
4.3 The US Leads in AI Companies Count Globally, Emerging as an Early Adopter of AI-enabled Consumer Electronic Products
4.4 AI-enabled Consumer Electronic Products Gaining Traction in Emerging Economies such as India
5.0 Patent Portfolio, Funding Analysis, and Key R&D Themes
5.1 Patent Trend Analysis and R&D Portfolio Areas
5.2 Academia Focused on Advancements in Computer Science and Machine Learning for Rapid Commercialization of AI-based Products
5.3 R&D Budgetary Assessment of the Artificial Intelligence Industry
5.4 Venture Capitalists Investing Aggressively in Promising Start-Ups
6.0 Growth Strategy for AI-based Consumer Electronic Companies
6.1 AI Chip Technology Developers Offering Technology License Leveraging Designing Freedom to Chip Developers
6.2 Emerging Start-Ups Collaborating with Major Consumer Electronic Companies to Integrate Artificial Intelligence in Products
6.3 Key Takeaways
7.0 Industry Contacts
7.1 Key Contacts