Robocall Mitigation: Emerging Opportunities, Competitor Leaderboard & Market Forecasts 2021-2026

• Key Takeaways & Strategic Recommendations: Comprehensive insight into the key trends and challenges facing the robocall market, aligned with Juniper Research’s strategic recommendations for market stakeholders.
• Market Outlook: An extensive evaluation of the prevalence of robocalling, fraudulent robocalling and the losses to fraud.
• Juniper Research Competitor Leaderboard: Key player capability and capacity assessment of 10 leading robocall mitigating vendors, including:
  • Brightlink
  • LiveVox
  • Metaswitch
  • Mobileum
  • Neustar
  • Numeracle
  • Ribbon Communications
  • Thales
  • TNS
  • TransNexus
• Market Forecasts & Key Takeaways: Comprehensive market forecasts for the total number of fraudulent robocalls, total losses to robocalling fraud and platform revenue from brand authentication services. Forecasts are split by 25 countries, including:
  • Argentina
  • Australia
  • Brazil
  • Canada
  • China
  • Colombia
  • Denmark
  • France
  • Germany
  • India
  • Italy
  • Japan
  • Mexico
  • Netherlands
  • Norway
  • Poland
  • Portugal
  • Saudi Arabia
  • Singapore
  • South Africa
  • South Korea
  • Spain
  • Sweden
  • UK
  • US

1. To what extent is robocalling causing fraud?
2. How much is lost to robocalling fraud each year?
3. What solutions are available for operators, brands and enterprises to mitigate unwanted robocalls?
4. How will brand calling increase consumer confidence in voice as a communication channel?
5. What opportunities will brand authentication technologies provide to operators and businesses in the future?

Included in the Juniper Research Competitor Leaderboard: Brightlink, LiveVox, MetaSwitch, Mobileum, Neustar, Numeracle, Ribbon Communications, Thales, TNS, TransNexus.
 
Mentioned: Adobe, Aegis Mobile, Amazon Web Services, Anova Data, Blackboard, BT (British Telecom), Cisco, Commerce Bank, Commonwealth Bank, Deutsche Bank, Dollar Tree, Facebook, FCC (Federal Communications Commission), First Orion, Fonative, Fuse.Cloud, Google, GreenSky, Hiya Connect, IBM, Iconectiv, Intel, ITG (Industry Traceback Group), Koch Equity Development, Lumen Technologies, Mastercard, Metaswitch, Microsoft, NetNumber, nobelbiz, NYSE (New York Stock Exchange), Ooma, Oracle, Patelco, PayPal, Peering Hub, Pinterest, Rhode Island Telephone, Ribbon Communications Inc, Sansay, Softbank Group, Somos, Sonus Networks, Spirit Communications, Sprint, Sprint, TalkTalk, TDECU (Texas Dow Employees), Telo, Telstra, Tesco, Ticketmaster, T-Mobile, Twitter, Updox, US Department of Defense, Visa, Vodafone, Vonage, WeDo Technologies, Yaana Technologies, YouMail.
 

Juniper Research’s Robocall Mitigation forecast suite includes: 

• 5-year benchmark forecasts for robocalling metrics by 8 key regions and 25 country-level splits including:
  • Argentina
  • Australia
  • Brazil
  • Canada
  • China
  • Colombia
  • Denmark
  • France
  • Germany
  • India
  • Italy
  • Japan
  • Mexico
  • Netherlands
  • Norway
  • Poland
  • Portugal
  • Saudi Arabia
  • Singapore
  • South Africa
  • South Korea
  • Spain
  • Sweden
  • UK
  • US
• Robocall Market Summary, including:
  • Total Number of Robocalls
  • Total Number of Fraudulent Robocalls
  • Total Consumer Losses to Fraudulent Robocalls
• Brand Authentication Market Summary, including:
  • Total Number of Brand Authentication API calls
  • Total Platform Revenue from Brand Authentication Services
• Access to the full set of forecast data of 12 tables and over 2,900 datapoints.
• Interactive Excel Scenario tool allowing users the ability to manipulate Juniper Research’s data for 3 different metrics.

Juniper Research’s highly granular IFxls (Interactive Excels) enable clients to manipulate Juniper Research’s forecast data and charts to test their own assumptions using the interactive scenario tool and compare select markets side by side in customised charts and tables. IFxls greatly increase clients’ ability to both understand a particular market and to integrate their own views into the model.