The Latin America, Middle East and Africa Predictive Dialer Software Market is expected to witness market growth of 39% CAGR during the forecast period (2020-2026).
A predictive dialer is an outbound calling system that helps in bulk dialing from a list of contact numbers. Since a predictive dialer automates an outbound process, it filters busy signals, no answers, voicemail, and disconnected numbers so that the agent is connected only when someone answers the call on the other end. The predictive dialer utilizes advanced algorithms in order to get the precise time that an agent should be covering up a call and then only bulk dials other numbers. The primary benefit of using predictive dialers is reduced manual dialing time that increases agent efficiency.
Predictive dialers are usually used in market research, debt collection, telemarketing, and customer service follow-ups and it is helpful in organizing and managing the client database and chronologically dials out clients. Furthermore, a predictive dialer assists in intelligently allotting calls according to the availability of lead qualification agents. Thus, this software enables them to optimize the time to be spent on the phone calls with leads during outbound sales prospecting.
The effectiveness of the predictive dialer software is decided by its capacity to accomplish a balance between the number of outbound calls placed and the number of free agents. While it’s crucial for the predictive dialing software to be vigorous in dialing numbers, at the same time precision is also important. It should not take too long to respond to connect to a live agent, if it happens so, he or she might start hearing busy signals and may abandon the call. Call center managers must approach calling campaigns having an objective to reduce the number of abandoned calls coupled with cutting back idle time among agents.
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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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.
Scope of the Study
Market Segments covered in the Report:
By Component
By Deployment Type
By Enterprise Size
By End User
By Country
Companies Profiled
Unique Offerings from the Publisher
A predictive dialer is an outbound calling system that helps in bulk dialing from a list of contact numbers. Since a predictive dialer automates an outbound process, it filters busy signals, no answers, voicemail, and disconnected numbers so that the agent is connected only when someone answers the call on the other end. The predictive dialer utilizes advanced algorithms in order to get the precise time that an agent should be covering up a call and then only bulk dials other numbers. The primary benefit of using predictive dialers is reduced manual dialing time that increases agent efficiency.
Predictive dialers are usually used in market research, debt collection, telemarketing, and customer service follow-ups and it is helpful in organizing and managing the client database and chronologically dials out clients. Furthermore, a predictive dialer assists in intelligently allotting calls according to the availability of lead qualification agents. Thus, this software enables them to optimize the time to be spent on the phone calls with leads during outbound sales prospecting.
The effectiveness of the predictive dialer software is decided by its capacity to accomplish a balance between the number of outbound calls placed and the number of free agents. While it’s crucial for the predictive dialing software to be vigorous in dialing numbers, at the same time precision is also important. It should not take too long to respond to connect to a live agent, if it happens so, he or she might start hearing busy signals and may abandon the call. Call center managers must approach calling campaigns having an objective to reduce the number of abandoned calls coupled with cutting back idle time among agents.
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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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.
Scope of the Study
Market Segments covered in the Report:
By Component
- Software (Without Services)
- Services
By Deployment Type
- On-premise
- Cloud
By Enterprise Size
- Large Enterprises
- Small & Medium Enterprises
By End User
- IT & Telecom
- Government
- BFSI
- Healthcare
- Others
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Companies Profiled
- Five9, Inc.
- NICE Ltd.
- RingCentral, Inc.
- Agile CRM
- ChaseData Corporation
- Convoso, Inc.
- PhoneBurner
- Star2Billing S.L.
- VanillaSoft, Inc.
- Ytel, Inc.
Unique Offerings from the Publisher
- Exhaustive coverage
- Highest number of market tables and figures
- Subscription based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. LAMEA Predictive Dialer Software Market by Component
Chapter 4. LAMEA Predictive Dialer Software Market by Deployment Type
Chapter 5. LAMEA Predictive Dialer Software Market by Enterprise Size
Chapter 6. LAMEA Predictive Dialer Software Market by End User
Chapter 7. LAMEA Predictive Dialer Software Market by Country
Chapter 8. Company Profiles
Companies Mentioned
- Five9, Inc.
- NICE Ltd.
- RingCentral, Inc.
- Agile CRM
- ChaseData Corporation
- Convoso, Inc.
- PhoneBurner
- Star2Billing S.L.
- VanillaSoft, Inc.
- Ytel, Inc.
Methodology
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