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LAMEA Predictive Dialer Software Market By Component, By Deployment Type, By Enterprise Size, By End User, By Country, Industry Analysis and Forecast, 2020 - 2026

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    Report

  • 84 Pages
  • February 2021
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5265895
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
  • 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
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA Predictive Dialer Software Market, by Component
1.4.2 LAMEA Predictive Dialer Software Market, by Deployment Type
1.4.3 LAMEA Predictive Dialer Software Market, by Enterprise Size
1.4.4 LAMEA Predictive Dialer Software Market, by End User
1.4.5 LAMEA Predictive Dialer Software Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. LAMEA Predictive Dialer Software Market by Component
3.1 LAMEA Predictive Dialer Software (Without Services) Market by Country
3.2 LAMEA Predictive Dialer Software Services Market by Country
Chapter 4. LAMEA Predictive Dialer Software Market by Deployment Type
4.1 LAMEA On-premise Predictive Dialer Software Market by Country
4.2 LAMEA Cloud Predictive Dialer Software Market by Country
Chapter 5. LAMEA Predictive Dialer Software Market by Enterprise Size
5.1 LAMEA Large Enterprises Predictive Dialer Software Market by Country
5.2 LAMEA Small & Medium Enterprises Predictive Dialer Software Market by Country
Chapter 6. LAMEA Predictive Dialer Software Market by End User
6.1 LAMEA IT & Telecom Predictive Dialer Software Market by Country
6.2 LAMEA Government Predictive Dialer Software Market by Country
6.3 LAMEA BFSI Predictive Dialer Software Market by Country
6.4 LAMEA Healthcare Predictive Dialer Software Market by Country
6.5 LAMEA Others Predictive Dialer Software Market by Country
Chapter 7. LAMEA Predictive Dialer Software Market by Country
7.1 Brazil Predictive Dialer Software Market
7.1.1 Brazil Predictive Dialer Software Market by Component
7.1.2 Brazil Predictive Dialer Software Market by Deployment Type
7.1.3 Brazil Predictive Dialer Software Market by Enterprise Size
7.1.4 Brazil Predictive Dialer Software Market by End User
7.2 Argentina Predictive Dialer Software Market
7.2.1 Argentina Predictive Dialer Software Market by Component
7.2.2 Argentina Predictive Dialer Software Market by Deployment Type
7.2.3 Argentina Predictive Dialer Software Market by Enterprise Size
7.2.4 Argentina Predictive Dialer Software Market by End User
7.3 UAE Predictive Dialer Software Market
7.3.1 UAE Predictive Dialer Software Market by Component
7.3.2 UAE Predictive Dialer Software Market by Deployment Type
7.3.3 UAE Predictive Dialer Software Market by Enterprise Size
7.3.4 UAE Predictive Dialer Software Market by End User
7.4 Saudi Arabia Predictive Dialer Software Market
7.4.1 Saudi Arabia Predictive Dialer Software Market by Component
7.4.2 Saudi Arabia Predictive Dialer Software Market by Deployment Type
7.4.3 Saudi Arabia Predictive Dialer Software Market by Enterprise Size
7.4.4 Saudi Arabia Predictive Dialer Software Market by End User
7.5 South Africa Predictive Dialer Software Market
7.5.1 South Africa Predictive Dialer Software Market by Component
7.5.2 South Africa Predictive Dialer Software Market by Deployment Type
7.5.3 South Africa Predictive Dialer Software Market by Enterprise Size
7.5.4 South Africa Predictive Dialer Software Market by End User
7.6 Nigeria Predictive Dialer Software Market
7.6.1 Nigeria Predictive Dialer Software Market by Component
7.6.2 Nigeria Predictive Dialer Software Market by Deployment Type
7.6.3 Nigeria Predictive Dialer Software Market by Enterprise Size
7.6.4 Nigeria Predictive Dialer Software Market by End User
7.7 Rest of LAMEA Predictive Dialer Software Market
7.7.1 Rest of LAMEA Predictive Dialer Software Market by Component
7.7.2 Rest of LAMEA Predictive Dialer Software Market by Deployment Type
7.7.3 Rest of LAMEA Predictive Dialer Software Market by Enterprise Size
7.7.4 Rest of LAMEA Predictive Dialer Software Market by End User
Chapter 8. Company Profiles
8.1 Five9, Inc.
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Regional Analysis
8.1.4 Research & Development Expense
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Product Launches and Product Expansions:
8.1.5.3 Acquisition and Mergers:
8.2 NICE Ltd.
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental and Regional Analysis
8.2.4 Research & Development Expenses
8.2.1 Recent strategies and developments:
8.2.1.1 Acquisition and Mergers:
8.2.1.2 Product Launches and Product Expansions:
8.3 RingCentral, Inc.
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Regional Analysis
8.3.4 Research & Development Expense
8.3.5 Recent strategies and developments:
8.3.5.1 Acquisition and Mergers:
8.3.5.2 Partnerships, Collaborations, and Agreements:
8.4 Agile CRM
8.4.1 Company Overview
8.4.2 Recent strategies and developments:
8.4.2.1 Product Launches and Product Expansions:
8.5 ChaseData Corporation
8.5.1 Company Overview
8.5.2 Recent strategies and developments:
8.5.2.1 Product Launches and Product Expansions:
8.6 Convoso, Inc.
8.6.1 Company Overview
8.6.2 Recent strategies and developments:
8.6.2.1 Product Launches and Product Expansions:
8.7 PhoneBurner
8.7.1 Company Overview
8.8 Star2Billing S.L.
8.8.1 Company Overview
8.9 VanillaSoft, Inc.
8.9.1 Company Overview
8.9.2 Recent strategies and developments:
8.9.2.1 Acquisition and Mergers:
8.10. Ytel, Inc.
8.10.1 Company Overview

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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