데이터 소스로서의 XR(확장현실) : 새로운 데이터 유형과 용도

Actionable Benefits:

• What type of quantitative data can be taken with Extended Reality (XR) as a data source.
• Understand the benefits of using XR as a data source.
• Identify leaders in the field that can aid and guide in adoption.

Critical Questions Answered:

• What are the benefits of using XR as a data source?
• How does using XR as a data source provide data for Return on Investment (ROI) and success rates?
• What is the value of quantitative data for marketing and customer outreach?

Research Highlights:

• Detailed breakdown of all the data that can be captured using XR.
• Comprehensive analysis of leaders that provide the software to enable XR as a data source and companies that use XR as both a medium for operations and as a mode for data collection.
• Challenges the market is facing in terms of capturing ROI, success rates, and maximizing the potential of XR as a data source.

Who Should Read This?

• Companies already using XR in their operations that want to prove ROI and success rates in a tangible manner.
• Information Technology (IT) and platform and licensing leaders and enablers.
• AI and software developers in the XR market as a whole.

TABLE OF CONTENTS

1 KEY FINDINGS

2 KEY FORECASTS

3 KEY COMPANIES AND ECOSYSTEMS

4 OVERVIEW OF NOVEL DATA TYPES IN XR

• 4.1 CONTEXTUAL DATA
• 4.2 INTERACTION AND COLLABORATION DATA

5 METHODS AND TECHNOLOGIES FOR DATA COLLECTION

6 DATA PROCESSING ANALYTICS APPROACHES AND RECOMMENDATIONS

• 6.1 RECOMMENDATIONS