Predictive Dialer Software Market Overview, Growth Prospects & Outlook Report

Posted by Ryan Shaw on March 22nd, 2021

The global Predictive Dialer Software Market size is expected to reach USD 12.19 billion by 2028, according to a new report by Grand View Research, Inc. It is expected to expand at a CAGR of 37.0% from 2021 to 2028. Predictive dialer software uses statistical algorithms to predict the availability of contact center agents and estimates the normal time for phone calls to be answered. The dialing rate is then adjusted accordingly considering these two factors.

Businesses are widely adopting predictive dialer systems to reach out to a large number of customers automatically. Furthermore, predictive dialer dials from a list of phone numbers and can detect disconnected phone numbers, voicemail messages, busy signals, and unanswered numbers. Such a system potentially allows companies to keep their customers updated about a service issue or emergency.

Numerous businesses across the globe are adopting predictive dialer software to leverage automated dialer technology to connect with their customers in real-time. The software allows contact center agents to adjust the calling rate efficiently according to the sales benchmarks and quotas. The software also allows agents to access valuable customer information related to the next call in the lineup.

Predictive dialer software can allow contact center agents to effectively handle high call volumes. The software can also help businesses in improving agent efficiency and productivity with a lesser workforce. The outbreak of COVID-19 is anticipated to drive the demand for predictive dialer software as companies prefer working with a limited workforce amid the pandemic.

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Predictive Dialer Software Market Report Highlights

  • By component, the software segment is expected to continue dominating the market over the forecast period. The capability of the software to help agents in handling blended calls and deal with both outbound and inbound calls prompts businesses to adopt the software to deliver higher customer satisfaction
  • On the basis of deployment, cloud-based predictive dialer software assists businesses with the processes related to voice broadcasting and live call transfer. Its key features include voicemail detection, concurrent calling, campaign analytics, and text-to-speech conversion
  • In terms of enterprise size, small and medium enterprises need efficient communication systems, which can potentially boost their business. Predictive dialer systems are suitable for small and medium enterprises as they can autodial call efficiently as per the business needs
  • Based on end use, government agencies are widely adopting predictive dialer systems as they are affordable, can be easily installed on a desktop, and require no additional hardware. As a result, even smaller government organizations are adopting these systems to effectively communicate with citizens and staff
  • Continued adoption of the latest technologies in emerging economies, such as China and India, is expected to create growth opportunities for the market in Asia Pacific

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Ryan Shaw

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Ryan Shaw
Joined: August 11th, 2017
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