
The global predictive dialer software market size was valued at USD 1.03 billion in 2020 and is expected to expand at a compound annual growth rate (CAGR) of 37.0% from 2021 to 2028. The growing preference for telemarketing as a way to connect with the customers in real-time and deliver higher customer satisfaction is expected to fuel the growth of the market.
The predictive dialer software eliminates manual dialing and connects contact center agents to a call only after the call has been responded to. It ensures a seamless transition between customer calls and generates a steady stream of calls with the lowest downtime. The software is flexible enough to be customized for use by businesses of all sizes. The software can be used for various applications, including debt collection, sales and telemarketing, professional services in BPO, and multiple outbound campaigns.
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Various factors such as possible predictive algorithm failure and the inability to detect answering machines accurately are expected to restrain the growth of the market. Although the algorithm is designed to help businesses in connecting with more leads and customers, it may fail to verify the agent availability at times. Nevertheless, businesses are adopting the software owing to its various features, such as automated messages, live call transfer, and touch-tone opt-out options. The outbreak of COVID-19 is also anticipated to drive the demand for predictive dialer software.
Key Player Mentioned:
- Agile CRM
- ChaseData Corporation
- Convoso
- Five9, Inc.
- NICE inContact
- PhoneBurner
- RingCentral, Inc.
- Star2Billing S.L.
The predictive dialer software eliminates manual dialing and connects contact center agents to a call only after the call has been responded to. It ensures a seamless transition between customer calls and generates a steady stream of calls with the lowest downtime. The software is flexible enough to be customized for use by businesses of all sizes. The software can be used for various applications, including debt collection, sales and telemarketing, professional services in BPO, and multiple outbound campaigns.
Product Segment Analysis:
- Cloud
- On-premise
Application Segment Analysis:
- Software
- Services
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Regional Segment Analysis:
North America, Europe, Asia Pacific, Latin America, and Mideast and Africa.
The software segment dominated the market in 2020 and accounted for a revenue share of more than 68.0%. The software can effectively skip busy signals and fake numbers, thereby helping agents in increasing the customer calling rate. The software also helps agents in enhancing customer experience by reducing the average call duration. Hence, businesses are typically adopting predictive dialer software to reduce idle time.
Vendors are focusing on offering predictive dialer capabilities, which can potentially drive both conventional outbound contact center activities, such as telemarketing and voice-based communications and proactive outreach strategies, which leverage the numerous customer contact channels. Vendors are also focusing on offering call monitoring, call recording, and call scheduling features. Businesses are aggressively adopting these solutions to automate their processes related to voice broadcasting, Interactive Voice Response (IVR), and live call transfer. Marketing teams are typically using the software to play pre-recorded advertisements, autodial leads, and run campaigns. Some prominent players in the global predictive dialer software market include:
The global Predictive Dialer Software market is illustrated by key results:
- The Predictive Dialer Software market research report comprises products developed, industries they cater to, and the strategies they adopt.
- Data related to the organizations such as the sales amassed by the manufacturers has also been mentioned. The report offers data related to the firm’s price models along with gross margins.
- The Predictive Dialer Software market research report presents data regarding products and market share of the product segments.
- The report entails sales that are accounted for by the products and the revenues earned by these product segments.
- Information regarding the applications and sales projections for the given time period is included in the report.
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