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市場調查報告書
商品編碼
1620538

客戶智慧平台市場機會、成長動力、產業趨勢分析和 2024 年至 2032 年預測

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個工作天內

價格
簡介目錄

2023 年,全球客戶智慧平台市場估值為21 億美元,預計2024 年至2032 年將以24.1% 的複合年成長率強勁成長。的需求個人化的客戶體驗以及人工智慧和機器學習技術的廣泛採用。市場依組件分為平台和服務。到 2023 年,由於對先進人工智慧驅動的客戶智慧解決方案的需求不斷成長,平台細分市場的銷售額將超過 12 億美元。這些平台利用機器學習和自然語言處理等複雜技術來分析來自各種來源的大量客戶資料。

透過提供跨多個接觸點的客戶行為、偏好和互動的全面視圖,這些平台使企業能夠提供個人化體驗並根據即時洞察做出明智的決策。在部署方面,市場分為本地解決方案和基於雲端的解決方案。預計2024 年至2032 年間,基於雲端的細分市場的複合年成長率將超過22%。 。基於雲端的平台具有多種優勢,例如較低的前期成本、易於擴展以及遠端存取客戶資料和見解的能力。

這些功能在當今的商業環境中尤其重要,遠距工作和分散式團隊已成為常態。北美在客戶智慧平台市場佔據領先地位,到 2023 年將佔據超過 35% 的市場佔有率。經驗。關鍵技術參與者的存在以及對人工智慧和機器學習技術的大量投資進一步加速了該地區客戶智慧解決方案的採用。隨著企業越來越重視了解客戶行為和偏好以推動成長,全球客戶智慧平台市場有望大幅擴張,基於雲端的解決方案和人工智慧驅動的技術在塑造產業未來方面發揮關鍵作用

市場範圍
開始年份 2023年
預測年份 2024-2032
起始值 21億美元
預測值 148 億美元
複合年成長率 24.1%

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商格局
    • 平台提供者
    • 服務提供者
    • 配銷通路
    • 最終用戶
  • 利潤率分析
  • 技術與創新格局
  • 專利分析
  • 案例研究
  • 監管環境
  • 衝擊力
    • 成長動力
      • 對個人化客戶體驗的需求不斷成長
      • 人工智慧和機器學習技術的採用不斷增加
      • 越來越重視數據驅動的決策
      • 拓展全通路行銷策略
    • 產業陷阱與挑戰
      • 資料隱私和安全問題
      • 資料分析和解釋方面的技能差距
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按組成部分,2021 - 2032 年

  • 主要趨勢
  • 平台
  • 服務
    • 諮詢
    • 支援與維護
    • 部署與整合

第 6 章:市場估計與預測:依部署模式,2021 - 2032 年

  • 主要趨勢
  • 基於雲端
  • 本地

第 7 章:市場估計與預測:依組織規模,2021 - 2032 年

  • 主要趨勢
  • 中小企業
  • 大型企業

第 8 章:市場估計與預測:依應用分類,2021 - 2032

  • 主要趨勢
  • 銷售和行銷最佳化
  • 客戶體驗管理
  • 客戶保留和參與
  • 客戶行為分析
  • 其他

第 9 章:市場估計與預測:依最終用途,2021 - 2032 年

  • 主要趨勢
  • BFSI
  • 零售與電子商務
  • 電信
  • 衛生保健
  • 旅遊和酒店業
  • 媒體與娛樂
  • 其他

第 10 章:市場估計與預測:按地區,2021 - 2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 北歐人
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 東南亞
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 阿拉伯聯合大公國
    • 南非
    • 沙烏地阿拉伯

第 11 章:公司簡介

  • Accenture
  • Adobe
  • Domo
  • IBM
  • Informatica
  • Medallia
  • Microsoft
  • Nice
  • Oracle
  • Pegasystems
  • Qualtrics
  • Salesforce
  • SAP
  • SAS
  • Segment
  • Tealium
  • Teradata
  • Treasure Data
  • Verint Systems
  • Zendesk
簡介目錄
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