Market Research Report
Asia Pacific Predictive Dialer Software Market By Component (Software and Services), By Deployment Type, By Enterprise Size, By End User, By Country, Industry Analysis and Forecast, 2020 - 2026
|Published by||KBV Research||Product code||990271|
|Published||Content info||83 Pages
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|Asia Pacific Predictive Dialer Software Market By Component (Software and Services), By Deployment Type, By Enterprise Size, By End User, By Country, Industry Analysis and Forecast, 2020 - 2026|
|Published: February 15, 2021||Content info: 83 Pages||
The Asia Pacific Predictive Dialer Software Market would witness market growth of 37.2% CAGR during the forecast period (2020-2026).
The predictive dialer software reduces dependency on contact center agents and manual dialing as they dial only those numbers that have responded. It allows a simple transition between customer calls and makes a steady stream of calls in the lowest downtime. The software is very flexible to be customized so that it can be used by businesses of all sizes. The software can be used for numerous applications, including sales and telemarketing, debt collection, multiple outbound campaigns, and professional services in BPO.
Businesses are adopting soft predictive dialer systems than hard predictive dialer systems. Since hard dialer systems have better Answering Machine Detection (AMD) capabilities, they tend to be more accurate. Though, hardware solutions require higher operational costs because they are difficult to maintain. Therefore, hard dialers are continuously losing their popularity. In contrast, no additional hardware components are required for a soft dialer system and hence it proves to be a cost-effective and profitable solution.
Numerous factors like possible predictive algorithm failure and the incompetence to detect answering machines accurately are likely to impede the growth of the market. Though the algorithm is designed especially for the businesses that help them connect with more customers, it may fail to validate the agent availability at times. However, small and large businesses are adopting the software due to its several features including live call transfer, automated messages, and touch-tone opt-out options. The outbreak of COVID-19 pandemic is also expected to have a positive impact on the demand for predictive dialer software.
Based on Component, the market is segmented into Software (Without Services) and Services. Based on Deployment Type, the market is segmented into On-premise and Cloud. Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on End User, the market is segmented into IT & Telecom, Government, BFSI, Healthcare and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Five9, Inc., NICE Ltd., RingCentral, Inc., Agile CRM, ChaseData Corporation, Convoso, Inc., PhoneBurner, Star2Billing S.L., VanillaSoft, Inc., and Ytel, Inc.
Market Segments covered in the Report:
By Deployment Type
By Enterprise Size
By End User
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List of Figures