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市场调查报告书
商品编码
1638039

全球预测拨号软体市场规模研究（按组件、部署、企业规模、最终用途和 2022-2032 年区域预测）

Global Predictive Dialer Software Market Size Study, By Component, By Deployment, By Enterprise Size, By End Use, and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3个工作天内

价格
简介目录

预测拨号软体市场到2023 年价值约22.5 亿美元，预计2024 年至2032 年复合年增长率将达到42.3%。一部分。透过智慧预测座席可用性和客户回应，它可以最大限度地减少空閒时间，优化座席效率和客户互动。该系统确保座席只专注于接听电话，从而提高工作效率，同时透过减少等待时间来提高客户满意度。

基于云端的解决方案的快速采用极大地影响了市场动态，特别是在中小企业 (SME) 中。云端部署消除了对大量硬体的需求，使预测拨号器更具成本效益，并且可供不同规模的企业使用。此外，人工智慧分析和机器学习等技术进步正在彻底改变拨号演算法，确保更高的连线率并减少放弃的通话。这些创新为企业提供了宝贵的见解，从而实现有针对性的沟通策略，从而增强客户参与度。

此外，对经济高效的电话行销解决方案的需求不断增长以及改善资源分配的能力推动了预测拨号器在各行业（包括 IT 和电信、BFSI 和医疗保健）的采用。预测拨号器可自动执行出站呼叫，确保更快的连线和更高的生产力，使其成为旨在简化营运和扩大客户参与力度的企业的重要工具。

从地区来看，受益于联络中心和领先技术供应商的强大影响力，北美将在 2023 年占据市场主导地位。然而，在数位转型措施不断增加、中小企业激增以及为满足多样化业务需求而对自动呼叫解决方案的需求不断增长的推动下，亚太地区预计将出现最高的成长率。

市场的详细细分和细分市场解释如下：

目录

第 1 章：全球预测拨号软体市场执行摘要

  • 全球预测拨号软体市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 按组件
    • 按部署
    • 按企业规模
    • 按最终用途
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球预测拨号软体市场定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包容与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球预测拨号软体市场动态

  • 市场驱动因素
    • 对即时客户参与解决方案的需求不断增长
    • 自动化节省成本的优势
    • 预测拨号器中越来越多地采用人工智慧和机器学习
  • 市场挑战
    • 本地解决方案的初始成本较高
    • 电话行销的监管合规问题
  • 市场机会
    • 扩展面向中小企业的基于云端的解决方案
    • 新兴经济体的需求不断成长

第 4 章：全球预测拨号软体市场产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
  • PESTEL分析
    • 政治的
    • 经济的
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：全球预测拨号软体市场规模与预测：按组件分类 - 2022-2032

  • 细分仪表板
  • 收入趋势分析
    • 软体
    • 服务
      • 整合与部署
      • 支援与维护
      • 培训与咨询
      • 託管服务

第 6 章：全球预测拨号软体市场规模与预测：按部署划分 - 2022-2032 年

  • 细分仪表板
  • 收入趋势分析
    • 本地部署
    • 云

第 7 章：全球预测拨号软体市场规模与预测：依企业规模 - 2022-2032

  • 细分仪表板
  • 收入趋势分析
    • 大型企业
    • 中小企业

第 8 章：全球预测拨号软体市场规模与预测：依最终用途分类 - 2022-2032

  • 细分仪表板
  • 收入趋势分析
    • BFSI
    • 政府
    • 卫生保健
    • 资讯科技与电信
    • 其他的

第 9 章：全球预测拨号软体市场规模与预测：按地区 - 2022-2032

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲
  • 拉丁美洲
    • 巴西
  • MEA
    • 沙乌地阿拉伯王国
    • 阿联酋
    • 南非

第 10 章：竞争情报

  • 重点企业SWOT分析
    • agilecrm.com
    • Convoso
    • Five9, Inc.
  • 顶级市场策略
  • 公司简介

第 11 章：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

The Predictive Dialer Software Market is valued at approximately USD 2.25 billion in 2023 and is projected to expand at a remarkable CAGR of 42.3% from 2024 to 2032. Predictive dialer software, an advanced automated calling system, has become indispensable for modern contact centers. By intelligently predicting agent availability and customer response, it minimizes idle time, optimizing agent efficiency and customer interactions. This system ensures that agents focus only on answered calls, enhancing productivity while improving customer satisfaction through reduced wait times.

The rapid adoption of cloud-based solutions significantly influences market dynamics, particularly among small and medium enterprises (SMEs). Cloud deployment eliminates the need for extensive hardware, making predictive dialers more cost-effective and accessible to businesses of varying sizes. Additionally, technological advancements like AI-powered analytics and machine learning are revolutionizing dialing algorithms, ensuring higher connectivity rates and reduced abandoned calls. These innovations provide businesses with valuable insights, enabling targeted communication strategies that enhance customer engagement.

Furthermore, the increasing demand for cost-effective telemarketing solutions and the ability to improve resource allocation drive the adoption of predictive dialers across industries, including IT & telecom, BFSI, and healthcare. Predictive dialers automate outbound calls, ensuring faster connections and higher productivity, making them essential tools for businesses aiming to streamline operations and scale customer engagement efforts.

Regionally, North America dominated the market in 2023, benefiting from a strong presence of contact centers and leading technology providers. However, the Asia Pacific region is expected to witness the highest growth rate, driven by increasing digital transformation initiatives, the proliferation of SMEs, and the rising demand for automated calling solutions to cater to diverse business needs.

Major market players included in this report are:

  • agilecrm.com
  • DialedIn
  • Convoso
  • Five9, Inc.
  • NICE
  • PhoneBurner
  • RingCentral, Inc.
  • Star2Billing S.L.
  • VanillaSoft
  • Ytel Inc.

The detailed segments and sub-segments of the market are explained below:

By Component:

  • Software
  • Services
    • Integration & Deployment
    • Support & Maintenance
    • Training & Consulting
    • Managed Services

By Deployment:

  • On-premise
  • Cloud

By Enterprise Size:

  • Large Enterprise
  • Small & Medium Enterprise

By End Use:

  • BFSI
  • Government
  • Healthcare
  • IT & Telecom
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Mexico
  • Europe
  • U.K.
  • Germany
  • France
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Latin America
  • Brazil
  • Middle East & Africa (MEA)
  • Kingdom of Saudi Arabia
  • UAE
  • South Africa

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with country-level insights of major regions.
  • Competitive landscape highlighting major market players.
  • Strategic recommendations and insights into emerging market opportunities.

Table of Contents

Chapter 1. Global Predictive Dialer Software Market Executive Summary

  • 1.1. Global Predictive Dialer Software Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Component
    • 1.3.2. By Deployment
    • 1.3.3. By Enterprise Size
    • 1.3.4. By End Use
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Predictive Dialer Software Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory Frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Predictive Dialer Software Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Growing demand for real-time customer engagement solutions
    • 3.1.2. Cost-saving advantages of automation
    • 3.1.3. Rising adoption of AI and machine learning in predictive dialers
  • 3.2. Market Challenges
    • 3.2.1. High initial costs for on-premise solutions
    • 3.2.2. Regulatory compliance issues in telemarketing
  • 3.3. Market Opportunities
    • 3.3.1. Expansion of cloud-based solutions for SMEs
    • 3.3.2. Rising demand in emerging economies

Chapter 4. Global Predictive Dialer Software Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economic
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunities
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Predictive Dialer Software Market Size & Forecasts by Component 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Revenue Trend Analysis (USD Million)
    • 5.2.1. Software
    • 5.2.2. Services
      • 5.2.2.1. Integration & Deployment
      • 5.2.2.2. Support & Maintenance
      • 5.2.2.3. Training & Consulting
      • 5.2.2.4. Managed Services

Chapter 6. Global Predictive Dialer Software Market Size & Forecasts by Deployment 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Revenue Trend Analysis (USD Million)
    • 6.2.1. On-premise
    • 6.2.2. Cloud

Chapter 7. Global Predictive Dialer Software Market Size & Forecasts by Enterprise Size 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Revenue Trend Analysis (USD Million)
    • 7.2.1. Large Enterprise
    • 7.2.2. Small & Medium Enterprise

Chapter 8. Global Predictive Dialer Software Market Size & Forecasts by End Use 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Revenue Trend Analysis (USD Million)
    • 8.2.1. BFSI
    • 8.2.2. Government
    • 8.2.3. Healthcare
    • 8.2.4. IT & Telecom
    • 8.2.5. Others

Chapter 9. Global Predictive Dialer Software Market Size & Forecasts by Region 2022-2032

  • 9.1. North America
    • 9.1.1. U.S.
    • 9.1.2. Canada
    • 9.1.3. Mexico
  • 9.2. Europe
    • 9.2.1. U.K.
    • 9.2.2. Germany
    • 9.2.3. France
  • 9.3. Asia Pacific
    • 9.3.1. China
    • 9.3.2. India
    • 9.3.3. Japan
    • 9.3.4. South Korea
    • 9.3.5. Australia
  • 9.4. Latin America
    • 9.4.1. Brazil
  • 9.5. MEA
    • 9.5.1. Kingdom of Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. South Africa

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
    • 10.1.1. agilecrm.com
    • 10.1.2. Convoso
    • 10.1.3. Five9, Inc.
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes