Convergence of AI and AR: Transforming the Future of Business Applications

1.1 Research Scope

1.2 Research Methodology

1.3 Research Methodology Explained

1.4 Key Findings

2.1 Defining Artificial Intelligence

2.2 Defining Augmented Reality

2.3 Key Convergence Enablers : AI+AR

3.1 Future Trends Driving the Adoption of AI+AR

3.2 Factors Hindering AR + AI Adoption

3.3 Limited Availability of AR Content and Lack of Standardization are the Major Factors Hindering Adoption

4.1 Improving GPS Navigation and Enhancing in-store Customer Experience are the Major Applications in Automotive and Retail Respectively

4.2 AI+AR is Adding Value by Attracting New Tourists and Operating Complex Surgeries in Tourism and Healthcare Respectively

5.1 Identification of Convergence Use Cases within AI+AR

5.1 Identification of Convergence Use Cases within AI+AR (continued)

5.1 Identification of Convergence Use Cases within AI+AR (continued)

5.2 Google Lens’ AR and AI Features Enables Users to Scan the Environment in Real-Time

5.3 Wrnch Uses a Combination of Deep Learning and Computer Vision to Analyze Human Body Language

5.4 Google Integrated AR and AI Capabilities in Microscope to Improve Accuracy in Diagnostics

5.5 IBM & DAQRI are Leveraging AR for Real Time Visual Guidance for Factory Workers

5.6 TechSee Developed an AR-based Visual Platform, Enabling Service Providers to Interact with Customers Virtually

5.7 Lenovo Glass C220 leverages AI and AR to Enhance Workers Ability on the Shop floor

5.8 NVIDIA’s platform will Transform the Driving Experience by Providing Interactive in-Car Displays

5.9 IBM Watson Unity SDK helps Developers to Build New Services and Integrate into Client Applications Faster than Ever Before

5.10 Facebook is Using AR to Create Virtual Worlds Accessible to Social Networks

5.11 Blippar and Cognizant are Using AR and AI to Create Various Use Cases Across Healthcare and Education Sectors

5.12 Octi Developed an AR System that uses Deep Learning to Analyze the Human Body Movements

6.1 Partner Identification

6.1 Partner Identification (continued)

6.1 Partner Identification (continued)

7.1 Profile of Companies within AI + AR

7.1 Profile of Companies within AI + AR (continued)

7.1 Profile of Companies within AI + AR (continued)

7.1 Profile of Companies within AI + AR (continued)

7.1 Profile of Companies within AI + AR (continued)

7.1 Profile of Companies within AI + AR (continued)

7.1 Profile of Companies within AI + AR (continued)

7.1 Profile of Companies within AI + AR (continued)

7.1 Profile of Companies within AI + AR (continued)

7.1 Profile of Companies within AI + AR (continued)

7.2 Framework to Identify Companies for Potential Partnership

8.1 The US Leads in IP Filings with Object Tracking and Improved Customer Experience as the Key Focus Areas

8.2 Google in AI – Relevant Patents

8.3 Google in AR – Relevant Patents

9.1 Analyst Insights and Recommendations

10.1 Key Contacts

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