Extended Reality (XR) as a Data Source: Novel Data Types and Applications
Price: Starting at USD 1,950
Publish Date: 10 Feb 2025
Code: AN-6196
Research Type: Report
Pages: 13

RELATED SERVICE:

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.

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.

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?

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
Related Research

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