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Predictive Dialer Software Market will rise due to Increasing demand for cloud-based solutions - GIS Reports
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Predictive dialer software is a type of auto dialer that is used to automatically dial large numbers of phone numbers. The software is designed to predict when a human agent will be available to speak to the person who answers the phone and will only connect the call when an agent is available. This helps to improve the efficiency of call center operations by reducing the amount of time that agents spend waiting for calls to be connected.
Key Trends
One of the key trends in predictive dialer software technology is the move towards artificial intelligence (AI) and machine learning (ML). This is in response to the increased demand for more accurate and sophisticated predictions from customers.
Another key trend is the move towards cloud-based solutions. This is in response to the increased demand for flexibility and scalability from customers. Cloud-based solutions offer the ability to scale up or down as needed and to pay for only what is used.
Finally, there is a trend towards mobile-friendly solutions. This is in response to the increasing number of people who are using their mobile phones as their primary means of communication.
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Market Segments
The predictive dialer software market is segmented by type, deployment mode. end-use, and region. By type, the market is classified into manual, preview, and predictive. On the basis of deployment mode, it is bifurcated into on-premise, and cloud. Based on end-user, it is divided into BFSI, government, IT, and others. Region-wise, the market is segmented into North America, Europe, Asia Pacific, and Rest of the World.
Key Players
The global predictive dialer software market include players such as Five9 Inc, Nuxiba Technologies Inc, Redcloud Inc, Voicent Communications Inc, Vanillasoft, Safesoft Solutions Inc, Callfire Inc, Ytel Inc, Insidesales.com, Double-A Solutions LLC, and others.
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Key Drivers
Some of the key drivers of the predictive dialer software market are as follows:
1. Increasing demand for cloud-based solutions: Cloud-based solutions are becoming increasingly popular in the call center industry due to their flexibility and scalability.
2. need for improved customer experience: In today's competitive business environment, it is important for call centers to provide an excellent customer experience.
3. need for increased efficiency: Call centers are always looking for ways to increase their efficiency and productivity. Predictive dialer software can help call centers to achieve this by automating the dialing process and increasing the number of live connections.
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