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Asia Pacific 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

  • 83 Pages
  • February 2021
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5265918
The Asia Pacific Predictive Dialer Software Market is expected to 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.

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
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Companies Profiled
  • Five9, Inc.
  • NICE Ltd.
  • RingCentral, Inc.
  • Agile CRM
  • ChaseData Corporation
  • Convoso, Inc.
  • PhoneBurner
  • Star2Billing S.L.
  • VanillaSoft, Inc.
  • Ytel, Inc.

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  • Highest number of market tables and figures
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  • 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 Asia Pacific Predictive Dialer Software Market, by Component
1.4.2 Asia Pacific Predictive Dialer Software Market, by Deployment Type
1.4.3 Asia Pacific Predictive Dialer Software Market, by Enterprise Size
1.4.4 Asia Pacific Predictive Dialer Software Market, by End User
1.4.5 Asia Pacific 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. Asia Pacific Predictive Dialer Software Market by Component
3.1 Asia Pacific Predictive Dialer Software (Without Services) Market by Country
3.2 Asia Pacific Predictive Dialer Software Services Market by Country
Chapter 4. Asia Pacific Predictive Dialer Software Market by Deployment Type
4.1 Asia Pacific On-premise Predictive Dialer Software Market by Country
4.2 Asia Pacific Cloud Predictive Dialer Software Market by Country
Chapter 5. Asia Pacific Predictive Dialer Software Market by Enterprise Size
5.1 Asia Pacific Large Enterprises Predictive Dialer Software Market by Country
5.2 Asia Pacific Small & Medium Enterprises Predictive Dialer Software Market by Country
Chapter 6. Asia Pacific Predictive Dialer Software Market by End User
6.1 Asia Pacific IT & Telecom Predictive Dialer Software Market by Country
6.2 Asia Pacific Government Predictive Dialer Software Market by Country
6.3 Asia Pacific BFSI Predictive Dialer Software Market by Country
6.4 Asia Pacific Healthcare Predictive Dialer Software Market by Country
6.5 Asia Pacific Others Predictive Dialer Software Market by Country
Chapter 7. Asia Pacific Predictive Dialer Software Market by Country
7.1 China Predictive Dialer Software Market
7.1.1 China Predictive Dialer Software Market by Component
7.1.2 China Predictive Dialer Software Market by Deployment Type
7.1.3 China Predictive Dialer Software Market by Enterprise Size
7.1.4 China Predictive Dialer Software Market by End User
7.2 Japan Predictive Dialer Software Market
7.2.1 Japan Predictive Dialer Software Market by Component
7.2.2 Japan Predictive Dialer Software Market by Deployment Type
7.2.3 Japan Predictive Dialer Software Market by Enterprise Size
7.2.4 Japan Predictive Dialer Software Market by End User
7.3 India Predictive Dialer Software Market
7.3.1 India Predictive Dialer Software Market by Component
7.3.2 India Predictive Dialer Software Market by Deployment Type
7.3.3 India Predictive Dialer Software Market by Enterprise Size
7.3.4 India Predictive Dialer Software Market by End User
7.4 South Korea Predictive Dialer Software Market
7.4.1 South Korea Predictive Dialer Software Market by Component
7.4.2 South Korea Predictive Dialer Software Market by Deployment Type
7.4.3 South Korea Predictive Dialer Software Market by Enterprise Size
7.4.4 South Korea Predictive Dialer Software Market by End User
7.5 Singapore Predictive Dialer Software Market
7.5.1 Singapore Predictive Dialer Software Market by Component
7.5.2 Singapore Predictive Dialer Software Market by Deployment Type
7.5.3 Singapore Predictive Dialer Software Market by Enterprise Size
7.5.4 Singapore Predictive Dialer Software Market by End User
7.6 Malaysia Predictive Dialer Software Market
7.6.1 Malaysia Predictive Dialer Software Market by Component
7.6.2 Malaysia Predictive Dialer Software Market by Deployment Type
7.6.3 Malaysia Predictive Dialer Software Market by Enterprise Size
7.6.4 Malaysia Predictive Dialer Software Market by End User
7.7 Rest of Asia Pacific Predictive Dialer Software Market
7.7.1 Rest of Asia Pacific Predictive Dialer Software Market by Component
7.7.2 Rest of Asia Pacific Predictive Dialer Software Market by Deployment Type
7.7.3 Rest of Asia Pacific Predictive Dialer Software Market by Enterprise Size
7.7.4 Rest of Asia Pacific 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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