封面
市场调查报告书
商品编码
1620538

客户智慧平台市场机会、成长动力、产业趋势分析和 2024 年至 2032 年预测

Customer Intelligence Platform Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023 年,全球客户智慧平台市场估值为21 亿美元,预计2024 年至2032 年将以24.1% 的复合年增长率强劲增长。的需求个人化的客户体验以及人工智慧和机器学习技术的广泛采用。市场依组件分为平台和服务。到 2023 年,由于对先进人工智慧驱动的客户智慧解决方案的需求不断增长,平台细分市场的销售额将超过 12 亿美元。这些平台利用机器学习和自然语言处理等复杂技术来分析来自各种来源的大量客户资料。

透过提供跨多个接触点的客户行为、偏好和互动的全面视图,这些平台使企业能够提供个人化体验并根据即时洞察做出明智的决策。在部署方面,市场分为本地解决方案和基于云端的解决方案。预计2024 年至2032 年间,基于云端的细分市场的复合年增长率将超过22%。 。基于云端的平台具有多种优势,例如较低的前期成本、易于扩展以及远端存取客户资料和见解的能力。

这些功能在当今的商业环境中尤其重要,远距工作和分散式团队已成为常态。北美在客户智慧平台市场占据领先地位,到 2023 年将占据超过 35% 的市场份额。经验。关键技术参与者的存在以及对人工智慧和机器学习技术的大量投资进一步加速了该地区客户智慧解决方案的采用。随着企业越来越重视了解客户行为和偏好以推动成长,全球客户智慧平台市场有望大幅扩张,基于云端的解决方案和人工智慧驱动的技术在塑造产业未来方面发挥关键作用

市场范围
开始年份 2023年
预测年份 2024-2032
起始值 21亿美元
预测值 148 亿美元
复合年增长率 24.1%

目录

第 1 章:方法与范围

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 供应商格局
    • 平台提供者
    • 服务提供者
    • 配销通路
    • 最终用户
  • 利润率分析
  • 技术与创新格局
  • 专利分析
  • 案例研究
  • 监管环境
  • 衝击力
    • 成长动力
      • 对个人化客户体验的需求不断增长
      • 人工智慧和机器学习技术的采用不断增加
      • 越来越重视数据驱动的决策
      • 拓展全通路行销策略
    • 产业陷阱与挑战
      • 资料隐私和安全问题
      • 资料分析和解释方面的技能差距
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章:竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章:市场估计与预测:按组成部分,2021 - 2032 年

  • 主要趋势
  • 平台
  • 服务
    • 咨询
    • 支援与维护
    • 部署与集成

第 6 章:市场估计与预测:依部署模式,2021 - 2032 年

  • 主要趋势
  • 基于云端
  • 本地

第 7 章:市场估计与预测:依组织规模,2021 - 2032 年

  • 主要趋势
  • 中小企业
  • 大型企业

第 8 章:市场估计与预测:依应用分类,2021 - 2032

  • 主要趋势
  • 销售和行销优化
  • 客户体验管理
  • 客户保留和参与
  • 客户行为分析
  • 其他的

第 9 章:市场估计与预测:依最终用途,2021 - 2032 年

  • 主要趋势
  • BFSI
  • 零售与电子商务
  • 电信
  • 卫生保健
  • 旅游和酒店业
  • 媒体与娱乐
  • 其他的

第 10 章:市场估计与预测:按地区,2021 - 2032

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 北欧人
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 东南亚
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯

第 11 章:公司简介

  • Accenture
  • Adobe
  • Domo
  • IBM
  • Informatica
  • Medallia
  • Microsoft
  • Nice
  • Oracle
  • Pegasystems
  • Qualtrics
  • Salesforce
  • SAP
  • SAS
  • Segment
  • Tealium
  • Teradata
  • Treasure Data
  • Verint Systems
  • Zendesk
简介目录
Product Code: 11827

The Global Customer Intelligence Platform Market was valued at USD 2.1 billion in 2023 and is projected to grow at a robust CAGR of 24.1% from 2024 to 2032. This growth is driven by the increasing reliance on data-driven decision-making, the rising demand for personalized customer experiences, and the widespread adoption of AI and machine learning technologies. The market is segmented by components into platforms and services. In 2023, the platform segment accounted for over USD 1.2 billion, fueled by the growing need for advanced AI-powered customer intelligence solutions. These platforms utilize sophisticated technologies like machine learning and natural language processing to analyze large volumes of customer data from various sources.

By offering a comprehensive view of customer behavior, preferences, and interactions across multiple touchpoints, these platforms empower businesses to provide personalized experiences and make informed decisions based on real-time insights. In terms of deployment, the market is divided into on-premises and cloud-based solutions. The cloud-based segment is expected to witness a CAGR of over 22% between 2024 and 2032. The increasing adoption of cloud technologies and the demand for scalable and flexible customer intelligence solutions are key drivers behind this growth. Cloud-based platforms offer several benefits, such as lower upfront costs, easy scalability, and the ability to access customer data and insights remotely.

These features are particularly important in today's business landscape, where remote work and distributed teams have become the norm. North America held a leading position in the customer intelligence platform market, accounting for more than 35% of the market share in 2023. This dominance is attributed to the region's advanced digital infrastructure, high levels of digital adoption, and a strong focus on enhancing customer experience. The presence of key technology players and significant investments in AI and machine learning technologies have further accelerated the adoption of customer intelligence solutions in the region. As businesses increasingly prioritize understanding customer behavior and preferences to drive growth, the global customer intelligence platform market is poised for substantial expansion, with cloud-based solutions and AI-driven technologies playing a pivotal role in shaping the industry's future

Market Scope
Start Year2023
Forecast Year2024-2032
Start Value$2.1 Billion
Forecast Value$14.8 Billion
CAGR24.1%

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates & calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimation
  • 1.3 Forecast model
  • 1.4 Primary research and validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market scope & definition

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Platform providers
    • 3.2.2 Service providers
    • 3.2.3 Distribution channel
    • 3.2.4 End users
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Case study
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Increasing demand for personalized customer experiences
      • 3.8.1.2 Rising adoption of AI and machine learning technologies
      • 3.8.1.3 Growing focus on data-driven decision making
      • 3.8.1.4 Expansion of omnichannel marketing strategies
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 Data privacy and security concerns
      • 3.8.2.2 Skill gap in data analytics and interpretation
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

  • 5.1 Key trends
  • 5.2 Platform
  • 5.3 Service
    • 5.3.1 Consulting
    • 5.3.2 Support & maintenance
    • 5.3.3 Deployment & integration

Chapter 6 Market Estimates & Forecast, By Deployment Mode, 2021 - 2032 ($Bn)

  • 6.1 Key trends
  • 6.2 Cloud-based
  • 6.3 On-premises

Chapter 7 Market Estimates & Forecast, By Organization Size, 2021 - 2032 ($Bn)

  • 7.1 Key trends
  • 7.2 SME
  • 7.3 Large enterprises

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

  • 8.1 Key trends
  • 8.2 Sales & marketing optimization
  • 8.3 Customer experience management
  • 8.4 Customer retention & engagement
  • 8.5 Customer behavior analytics
  • 8.6 Others

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

  • 9.1 Key trends
  • 9.2 BFSI
  • 9.3 Retail & e-commerce
  • 9.4 Telecommunications
  • 9.5 Healthcare
  • 9.6 Travel & hospitality
  • 9.7 Media & entertainment
  • 9.8 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Russia
    • 10.3.7 Nordics
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 Australia
    • 10.4.5 South Korea
    • 10.4.6 Southeast Asia
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
  • 10.6 MEA
    • 10.6.1 UAE
    • 10.6.2 South Africa
    • 10.6.3 Saudi Arabia

Chapter 11 Company Profiles

  • 11.1 Accenture
  • 11.2 Adobe
  • 11.3 Domo
  • 11.4 IBM
  • 11.5 Informatica
  • 11.6 Medallia
  • 11.7 Microsoft
  • 11.8 Nice
  • 11.9 Oracle
  • 11.10 Pegasystems
  • 11.11 Qualtrics
  • 11.12 Salesforce
  • 11.13 SAP
  • 11.14 SAS
  • 11.15 Segment
  • 11.16 Tealium
  • 11.17 Teradata
  • 11.18 Treasure Data
  • 11.19 Verint Systems
  • 11.20 Zendesk