Predictive Dialer Software Market Size Worth $6.6 billion by 2026

Published Date: 19-Feb-2021

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According to a new report Global Predictive Dialer Software Market, published by KBV research, The Global Predictive Dialer Software Market size is expected to reach $6.6 billion by 2026, rising at a market growth of 35% CAGR during the forecast period.

The services segment is likely to register the fastest growth over the upcoming years. The service segment has been further bifurcated into support and maintenance, integration and deployment, training and consulting, and managed services. Businesses favour predictive dialer software that is compatible with their active systems. This software consists of an easily accessible and comprehensive Application Program Interface (API) to enable smooth integration of the software with some other business applications.

The on-premise segment obtained maximum market size in the year 2019. Companies favour a hybrid cloud, which includes at least one on-premise system and one public cloud. Companies are using the public cloud system for their new sites and projects but continuing to maintain an on-premise system for operational customer data. The hybrid approach allows exploiting the scalability and cost-effectiveness associated with a cloud environment without revealing applications and critical data to third-party vulnerabilities.

The IT and telecom segment procured the maximum share of the market in 2019. A predictive dialer refers to an automated dialing system that can potentially help IT and telecom contact centers to considerably boost the number of outbound calls. The system connects agents to calls only if the call is answered by the customer. It saves time spent on dealing with answering fax machines, unanswered calls, disconnected lines, busy signals, and any other automated response systems.

North America dominated the market in 2019. The Asia Pacific market is likely to become the fastest-growing regional market over the forecast period. The increasing adoption of predictive dialer systems by both small and medium enterprises and large is likely to boost the growth of the regional market. The extensive adoption of cloud-based and cost-effective systems is likely to play a vital role in driving the growth of the regional market. Companies in the Asia Pacific are increasing their IT budgets, digitalizing their business operations, and increasing their technology spending, thus creating growth opportunities for the local market.

Full Report:

The market research report has exhaustive quantitative insights providing a clear picture of the market potential in various segments across the globe with country wise analysis in each discussed region. The key impacting factors of the market have been discussed in the report with the elaborated company profiles of Five9, Inc., NICE Ltd., RingCentral, Inc., Agile CRM, ChaseData Corporation, Convoso, Inc., PhoneBurner, Star2Billing S.L., VanillaSoft, Inc., and Ytel, Inc.

Global Predictive Dialer Software Market Segmentation

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 Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
    • 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.

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Predictive Dialer Software Market Related Reports:

North America Market

Europe Market

Asia Pacific Market

LAMEA Market

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