Product Code: GVR-4-68039-279-7
Predictive Dialer Software Market Growth & Trends:
The global predictive dialer software market size is expected to reach USD 25.52 billion by 2030, according to a new report by Grand View Research, Inc. It is expected to expand at a CAGR of 42.3% from 2025 to 2030. Predictive dialer software uses statistical algorithms to predict the availability of contact center agents and estimates the normal time for phone calls to be answered. The dialing rate is then adjusted accordingly considering these two factors.
Businesses are widely adopting predictive dialer systems to reach out to a large number of customers automatically. Furthermore, predictive dialer dials from a list of phone numbers and can detect disconnected phone numbers, voicemail messages, busy signals, and unanswered numbers. Such a system potentially allows companies to keep their customers updated about a service issue or emergency.
Numerous businesses across the globe are adopting predictive dialer software to leverage automated dialer technology to connect with their customers in real-time. The software allows contact center agents to adjust the calling rate efficiently according to the sales benchmarks and quotas. The software also allows agents to access valuable customer information related to the next call in the lineup.
Predictive dialer software can allow contact center agents to effectively handle high call volumes. The software can also help businesses in improving agent efficiency and productivity with a lesser workforce. The outbreak of COVID-19 is anticipated to drive the demand for predictive dialer software as companies prefer working with a limited workforce amid the pandemic.
Predictive Dialer Software Market Report Highlights:
- By component, the software segment is expected to continue dominating the market over the forecast period. The capability of the software to help agents in handling blended calls and deal with both outbound and inbound calls prompts businesses to adopt the software to deliver higher customer satisfaction.
- On the basis of deployment, cloud-based predictive dialer software assists businesses with the processes related to voice broadcasting and live call transfer. Its key features include voicemail detection, concurrent calling, campaign analytics, and text-to-speech conversion.
- In terms of enterprise size, small and medium enterprises need efficient communication systems, which can potentially boost their business. Predictive dialer systems are suitable for small and medium enterprises as they can autodial call efficiently as per the business needs.
- Based on end use, government agencies are widely adopting predictive dialer systems as they are affordable, can be easily installed on a desktop, and require no additional hardware. As a result, even smaller government organizations are adopting these systems to effectively communicate with citizens and staff.
- Continued adoption of the latest technologies in emerging economies, such as China and India, is expected to create growth opportunities for the market in Asia Pacific.
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.2. Market Definition
- 1.3. Information Procurement
- 1.3.1. Purchased Database
- 1.3.2. GVR's Internal Database
- 1.3.3. Secondary Sources & Third-Party Perspectives
- 1.3.4. Primary Research
- 1.4. Information Analysis
- 1.4.1. Data Analysis Models
- 1.5. Market Formulation & Data Visualization
- 1.6. Data Validation & Publishing
Chapter 2. Executive Summary
- 2.1. Market Insights
- 2.2. Segmental Outlook
- 2.3. Competitive Outlook
Chapter 3. Predictive Dialer Software Market Variables, Trends & Scope
- 3.1. Market Lineage Outlook
- 3.2. Market Dynamics
- 3.2.1. Market Driver Analysis
- 3.2.2. Market Restraint Analysis
- 3.2.3. Industry Challenge
- 3.3. Predictive Dialer Software Market Analysis Tools
- 3.3.1. Industry Analysis - Porter's
- 3.3.1.1. Bargaining power of the suppliers
- 3.3.1.2. Bargaining power of the buyers
- 3.3.1.3. Threats of substitution
- 3.3.1.4. Threats from new entrants
- 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
- 3.3.2.1. Political landscape
- 3.3.2.2. Economic and social landscape
- 3.3.2.3. Technological landscape
Chapter 4. Predictive Dialer Software Market: Component Outlook Estimates & Forecasts
- 4.1. Predictive Dialer Software Market Share by Component, 2024 & 2030 (USD Million)
- 4.2. Software
- 4.2.1. Predictive dialer software market estimates and forecasts, 2018 - 2030 (USD Million)
- 4.3. Services
- 4.3.1. Predictive dialer software services market estimates and forecasts, 2018 - 2030 (USD Million)
- 4.3.2. Integration & Deployment
- 4.3.2.1. Predictive dialer software integration & deployment services market estimates and forecasts, 2018 - 2030 (USD Million)
- 4.3.3. Support & Maintenance
- 4.3.3.1. Predictive dialer software support & maintenance services market estimates and forecasts, 2018 - 2030 (USD Million)
- 4.3.4. Training & Consulting
- 4.3.4.1. Predictive dialer software training & consulting services market estimates and forecasts, 2018 - 2030 (USD Million)
- 4.3.5. Managed Services
- 4.3.5.1. Predictive dialer software managed services market estimates and forecasts, 2018 - 2030 (USD Million)
Chapter 5. Predictive Dialer Software Market: Deployment Outlook Estimates & Forecasts
- 5.1. Predictive Dialer Software Market Share by Deployment, 2024 & 2030 (USD Million)
- 5.2. Cloud
- 5.2.1. Predictive dialer software market estimates and forecasts, 2018 - 2030 (USD Million)
- 5.3. On-premise
- 5.3.1. On-premise predictive dialer software market estimates and forecasts, 2018 - 2030 (USD Million)
Chapter 6. Predictive Dialer Software Market: Enterprise Size Outlook Estimates & Forecasts
- 6.1. Predictive Dialer Software Market Share by Enterprise Size, 2024 & 2030 (USD Million)
- 6.2. Large Enterprise
- 6.2.1. Predictive dialer software market for large enterprise estimates and forecasts, 2018 - 2030 (USD Million)
- 6.3. Small & Medium Enterprise
- 6.3.1. Predictive dialer software market for small & medium enterprise estimates and forecasts, 2018 - 2030 (USD Million)
Chapter 7. Predictive Dialer Software Market: End Use Outlook Estimates & Forecasts
- 7.1. Predictive Dialer Software Market Share by End Use, 2024 & 2030 (USD Million)
- 7.2. BFSI
- 7.2.1. Predictive dialer software market in BFSI estimates and forecasts, 2018 - 2030 (USD Million)
- 7.3. Government
- 7.3.1. Predictive dialer software market in government estimates and forecasts, 2018 - 2030 (USD Million)
- 7.4. Healthcare
- 7.4.1. Predictive dialer software market in healthcare estimates and forecasts, 2018 - 2030 (USD Million)
- 7.5. IT & Telecom
- 7.5.1. Predictive dialer software market in IT & telecom estimates and forecasts, 2018 - 2030 (USD Million)
- 7.6. Others
- 7.6.1. Predictive dialer software market in others estimates and forecasts, 2018 - 2030 (USD Million)
Chapter 8. Predictive Dialer Software Regional Outlook Estimates & Forecasts
- 8.1. Regional Snapshot
- 8.2. Predictive Dialer Software Market: Regional Movement Analysis, 2024 & 2030
- 8.3. North America
- 8.3.1. North America Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.3.2. U.S.
- 8.3.2.1. U.S. Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.3.3. Canada
- 8.3.3.1. Canada Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.3.4. Mexico
- 8.3.4.1. Mexico Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.4. Europe
- 8.4.1. Europe Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.4.2. U.K.
- 8.4.2.1. U.K. Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.4.3. Germany
- 8.4.3.1. Germany Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.4.4. France
- 8.4.4.1. France Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.5. Asia Pacific
- 8.5.1. Asia Pacific Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.5.2. China
- 8.5.2.1. China Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.5.3. India
- 8.5.3.1. India Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.5.4. Japan
- 8.5.4.1. Japan Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.5.5. Australia
- 8.5.5.1. Australia Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.5.6. South Korea
- 8.5.6.1. South Korea Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.6. Latin America
- 8.6.1. Latin America Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.6.2. Brazil
- 8.6.2.1. Brazil Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.7. MEA
- 8.7.1. MEA Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.7.2. Kingdom of Saudi Arabia
- 8.7.2.1. Kingdom of Saudi Arabia Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.7.3. UAE
- 8.7.3.1. UAE Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 8.7.4. South Africa
- 8.7.4.1. South Africa Predictive Dialer Software Market Estimates and Forecasts, 2018 - 2030 (USD Million)
Chapter 9. Competitive Landscape
- 9.1. Company Categorization
- 9.2. Company Market Positioning
- 9.3. Company Heat Map Analysis
- 9.4. Company Profiles/Listing
- 9.4.1. agilecrm.com
- 9.4.1.1. Participant's overview
- 9.4.1.2. Financial performance
- 9.4.1.3. Product benchmarking
- 9.4.1.4. Strategic initiatives
- 9.4.2. DialedIn
- 9.4.2.1. Participant's overview
- 9.4.2.2. Financial performance
- 9.4.2.3. Product benchmarking
- 9.4.2.4. Strategic initiatives
- 9.4.3. Convoso
- 9.4.3.1. Participant's overview
- 9.4.3.2. Financial performance
- 9.4.3.3. Product benchmarking
- 9.4.3.4. Strategic initiatives
- 9.4.4. Five9, Inc.
- 9.4.4.1. Participant's overview
- 9.4.4.2. Financial performance
- 9.4.4.3. Product benchmarking
- 9.4.4.4. Strategic initiatives
- 9.4.5. NICE
- 9.4.5.1. Participant's overview
- 9.4.5.2. Financial performance
- 9.4.5.3. Product benchmarking
- 9.4.5.4. Strategic initiatives
- 9.4.6. PhoneBurner
- 9.4.6.1. Participant's overview
- 9.4.6.2. Financial performance
- 9.4.6.3. Product benchmarking
- 9.4.6.4. Strategic initiatives
- 9.4.7. RingCentral, Inc.
- 9.4.7.1. Participant's overview
- 9.4.7.2. Financial performance
- 9.4.7.3. Product benchmarking
- 9.4.7.4. Strategic initiatives
- 9.4.8. Star2Billing S.L.
- 9.4.8.1. Participant's overview
- 9.4.8.2. Financial performance
- 9.4.8.3. Product benchmarking
- 9.4.8.4. Strategic initiatives
- 9.4.9. VanillaSoft
- 9.4.9.1. Participant's overview
- 9.4.9.2. Financial performance
- 9.4.9.3. Product benchmarking
- 9.4.9.4. Strategic initiatives
- 9.4.10. Ytel Inc.
- 9.4.10.1. Participant's overview
- 9.4.10.2. Financial performance
- 9.4.10.3. Product benchmarking
- 9.4.10.4. Strategic initiatives