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Global Robocall Mitigation & Branded Calling Market 2024-2029: Market Data & Forecasts

Publisher Juniper Research
Published May 20, 2024
Length 23 Pages
SKU # JNRH19997457

Description

The market-leading research suite for the Robocall Mitigation & Branded Calling market includes access to comprehensive 5-year forecast datasets of 14 tables and over 6,380 datapoints. Metrics in the research suite include:

Total Number of Robocalls
Total Number of Fraudulent Robocalls
Total Number of Successful Robocalls
Total Fraudulent Losses to Robocalling
Total Number of Branded Calling Authentication API Calls
Total Platform Revenue from Branded Calling Authentication API Calls
Juniper Research Interactive Forecast Excel contains the following functionality:

Statistics Analysis: Users benefit from the ability to search for specific metrics, displayed for all regions and countries across the data period. Graphs are easily modified and can be exported to the clipboard.
Country Data Tool: This tool lets users look at metrics for all regions and countries in the forecast period. Users can refine the metrics displayed via a search bar.
Country Comparison Tool: Users can select and compare specific countries. The ability to export graphs is included in this tool.
What-if Analysis: Here, users can compare forecast metrics against their own assumptions, via 5 interactive scenarios.

Please note: the online download version of this report is for a global site license.

Table of Contents

23 Pages
1. Market Forecasts & Key Takeaways
1.1 Introduction to Robocall Mitigation & Branded Calling Market Forecasts
Figure 1.1: Total Number of Fraudulent Robocalls Received by Mobile Subscribers (m), Split by 8 Key Regions, 2024 and 2029
Figure 1.2: Total Number of Branded Calling Authentication API Calls (m), Split by 8 Key Regions, 2024 and 2029
2. Robocalling and Fraudulent Robocalling Forecast
2.1 Introduction to Robocall Forecasts
Figure 2.1: Total Number of Successful Robocalls (61 Million), Split by 8 Key Regions, 2024
2.1.1 Robocall Forecast Methodology
Figure 2.2: Robocall Forecast Methodology
2.1.2 Total Number of Robocalls Received by Mobile Subscribers
Figure & Table 2.3: Total Number of Robocalls Received by Mobile Subscribers (m), Split by 8 Key Regions, 2024 2029
2.1.3 Total Number of Fraudulent Robocalls Received by Mobile Subscribers
Figure & Table 2.4: Total Number of Fraudulent Robocalls Received by Subscribers (m), Split by 8 Key Regions, 2024-2029
2.1.4 Total Number of Successful Robocalls
Figure & Table 2.5: Total Number of Successful Robocalls (m), Split by 8 Key Regions, 2024-2029
2.1.5 Total Fraudulent Losses to Robocalling
Figure & Table 2.6: Total Fraudulent Losses to Robocalling ($m), Split by 8 Key Regions, 2024-2029
3. Branded Calling Forecast
3.1 Branded Calling Forecast Methodology
3.1.1 Forecast Methodology & Assumptions
Figure 3.1: Branded Calling Forecast Methodology
3.1.2 Total Number of Branded calling Authentication API Calls
Figure & Table 3.2: Total Number of Branded Calling Authentication API Calls (m), Split by 8 Key Regions, 2024-2029
3.1.3 Total Platform Revenue from Branded Calling Authentication API Calls
Figure & Table 3.3: Total Platform Revenue from Branded Calling Authentication API Calls ($m), Split by 8 Key Regions, 2024-2029

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