デフォルト表紙
市場調査レポート
商品コード
1469287

カスタマーエクスペリエンス管理市場:製品タイプ、エンドユーザー、地域別:世界の産業分析、規模、シェア、成長、動向、予測(2024年~2032年)

Customer Experience Management Market by Product Type, End-Users, and Geography (North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa): Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2024-2032

出版日: | 発行: Persistence Market Research | ページ情報: 英文 323 Pages | 納期: 2~5営業日

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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=156.58円
カスタマーエクスペリエンス管理市場:製品タイプ、エンドユーザー、地域別:世界の産業分析、規模、シェア、成長、動向、予測(2024年~2032年)
出版日: 2024年04月17日
発行: Persistence Market Research
ページ情報: 英文 323 Pages
納期: 2~5営業日
  • 全表示
  • 概要
  • 目次
概要

この調査レポートは、世界のカスタマーエクスペリエンス管理(CEM)市場を詳細に分析し、主要な洞察、成長促進要因・課題、新たな動向を明らかにしています。この包括的なレポートでは、2024年~2032年のCEM市場の軌跡を予測する独自のデータと統計を提供しています。

世界のカスタマーエクスペリエンス管理の市場規模は、2024年~2032年に11.6%の有望なCAGRで世界市場に根を伸ばすと予測されます。

主な洞察

  • カスタマーエクスペリエンス管理市場のCAGR(2024年~2032年):11.6%
  • カスタマーエクスペリエンス管理市場価値(2024年):133億米ドル
  • カスタマーエクスペリエンス管理市場価値(2032年):321億米ドル

カスタマーエクスペリエンス管理市場- レポート範囲:

カスタマーエクスペリエンス管理(CEM)は、様々な業界の企業にとって極めて重要な戦略として浮上しています。CEMは、カスタマージャーニー全体を通じて顧客とのやり取りを理解、分析、最適化することを目的とした実践と技術を包含しています。顧客中心主義が重視されるにつれ、企業は顧客満足度、ロイヤルティ、顧客維持を高めるためにCEMソリューションへの投資を増やしています。

世界のCEM市場は、複数のタッチポイントにわたってパーソナライズされたシームレスな体験を提供することの重要性が高まるなど、いくつかの要因によって牽引されています。顧客の期待が絶えず進化する時代において、企業は顧客の行動や嗜好に関する実用的な洞察を得るためにCEMソリューションを導入せざるを得なくなっています。さらに、デジタルチャネルの普及と人工知能や機械学習などのテクノロジーの登場は、CEMの実践に革命をもたらし、企業が大規模で超パーソナライズされた体験を提供することを可能にしています。

市場成長の促進要因:

優れたカスタマーエクスペリエンスの提供に対する需要の高まりが、世界のCEM市場の成長を促す主な要因となっています。企業は、卓越したカスタマーエクスペリエンスを提供することが、顧客ロイヤルティを高めるだけでなく、収益成長と市場差別化の原動力となることを認識しています。各業界で競争が激化する中、企業はCEMソリューションを活用し、あらゆるタッチポイントでパーソナライズされた一貫性のある体験を提供することで競争力を高めようとしています。さらに、サブスクリプションベースのビジネスモデルへの移行や顧客生涯価値の重要性の高まりにより、長期的な顧客関係や収益性を促進するCEMの重要性が高まっています。

市場の抑制要因:

大きな成長が見込まれるものの、世界のCEM市場は、異種データソースやレガシーシステムの統合に伴う複雑さなどの課題に直面しています。多くの企業は、サイロ化した顧客データに苦慮しており、カスタマージャーニーの全体像を把握する能力を妨げています。さらに、プライバシーに関する懸念や規制遵守要件は、データのセキュリティやプライバシーを損なうことなく顧客データを活用して体験をパーソナライズする上で、企業に課題を突きつけています。

市場機会:

人工知能、機械学習、予測分析などの先進技術の採用が増加していることは、市場企業がCEMサービスを革新し、差別化するための有利な機会を提示しています。これらのテクノロジーにより、企業は膨大な量の顧客データをリアルタイムで分析し、実用的な洞察を明らかにし、顧客のニーズや嗜好を予測することができます。さらに、オムニチャネル体験が重視されるようになり、ソーシャルメディアやメッセージング・プラットフォームなどの新たなチャネルが統合されたことで、企業は新たな有意義な方法で顧客と関わることができるようになりました。

本レポートで扱う主な質問

  • カスタマーエクスペリエンス管理ソリューションの採用を促進する主な要因は何か?
  • カスタマーエクスペリエンスを向上させるために、企業はどのように先進技術を活用しているか?
  • 世界のCEM市場の将来を形作る新たな動向は何か?
  • CEM市場の主要企業はどこで、競争力を維持するためにどのような戦略を採用しているのか?
  • 今後数年間の市場成長の鍵となる機会と課題は何か?

目次

第1章 序文

  • 市場範囲
  • 市場セグメンテーション
  • 調査ハイライト

第2章 前提と調査手法

第3章 エグゼクティブサマリー:世界のカスタマーエクスペリエンス管理市場

第4章 市場概要

  • イントロダクション
  • 主要市場指標
    • 業界全体にわたるカスタマーエクスペリエンス管理の導入分析
    • ビジネスインテリジェンス(BI)がカスタマーエクスペリエンス管理に与える影響
  • 主な動向
  • 市場力学
  • 世界のカスタマーエクスペリエンス管理市場分析と予測(2024年~2032年)
    • 市場収益予測
  • ポーターのファイブフォース分析
  • バリューチェーン分析
  • 市場見通し

第5章 世界のカスタマーエクスペリエンス管理市場の分析と予測:コンポーネント別

  • イントロダクション
  • 主な調査結果
  • カスタマーエクスペリエンス管理市場の分析と予測:コンポーネント別(2024年~2032年)
    • ソリューション
    • サービス
  • コンポーネント別の市場収益シェア分析
  • コンポーネント別の市場の魅力度

第6章 世界のカスタマーエクスペリエンス管理市場の分析と予測:組織規模別

  • イントロダクション
  • 主な調査結果
  • カスタマーエクスペリエンス管理市場の分析と予測:組織規模別(2024年~2032年)
    • 中小企業
    • 大企業
  • 組織規模別の市場収益シェア分析
  • 組織規模別の市場の魅力度

第7章 世界のカスタマーエクスペリエンス管理市場の分析と予測:展開タイプ別

  • イントロダクション
  • 主な調査結果
  • カスタマーエクスペリエンス管理市場の分析と予測:展開タイプ別(2024年~2032年)
    • オンプレミス
    • クラウド
  • 展開タイプ別の市場収益シェア分析
  • 展開タイプ別の市場の魅力度

第8章 世界のカスタマーエクスペリエンス管理市場の分析と予測:業界別

  • イントロダクション
  • 主な調査結果
  • カスタマーエクスペリエンス管理市場の分析と予測:業界別(2024年~2032年)
    • BFSI
    • ITおよび通信
    • 小売
    • ヘルスケア
    • 自動車
    • 旅行とホスピタリティ
    • メディアとエンターテイメント
    • 公的機関
    • その他
  • 業界別の市場収益シェア分析
  • 業界別の市場の魅力度

第9章 世界のカスタマーエクスペリエンス管理市場の分析と予測:タッチポイント別

  • イントロダクション
  • 主な調査結果
  • カスタマーエクスペリエンス管理市場の分析と予測:タッチポイント別(2024年~2032年)
    • ウェブサイト
    • 店舗
    • コールセンター
    • モバイルアプリ
    • メール
    • バーチャルアシスタント
    • ソーシャルメディア
    • その他のタッチポイント
  • タッチポイント別の市場収益シェア分析
  • タッチポイント別の市場の魅力度

第10章 世界のカスタマーエクスペリエンス管理市場の分析と予測:地域別

  • 主な調査結果
  • カスタマーエクスペリエンス管理市場の分析と予測:地域別(2024年~2032年)
    • 北米
    • 欧州
    • アジア太平洋
    • 中東およびアフリカ
    • ラテンアメリカ
  • 地域別の市場収益シェア分析
  • 地域別の市場の魅力度

第11章 北米のカスタマーエクスペリエンス管理市場の分析と予測

第12章 欧州のカスタマーエクスペリエンス管理市場の分析と予測

第13章 アジア太平洋のカスタマーエクスペリエンス管理市場の分析と予測

第14章 中東およびアフリカ(MEA)のカスタマーエクスペリエンス管理市場の分析と予測

第15章 ラテンアメリカのカスタマーエクスペリエンス管理市場の分析と予測

第16章 競合情勢

  • 競合マトリックス
  • 主要企業の市場ポジション:企業別(2024年)

第17章 企業プロファイル

  • 企業プロファイル(詳細- 概要、財務、最近の動向、戦略)
    • IBM
    • SAP
    • ORACLE
    • AVAYA
    • OPENTEXT
    • ADOBE
    • VERINT SYSTEMS
    • TERADATA
    • TECH MAHINDRA
    • NOKIA

第18章 重要なポイント

目次
Product Code: PMRREP33042

Persistence Market Research presents an in-depth analysis of the global customer experience management (CEM) market, elucidating key insights, growth drivers, challenges, and emerging trends. This comprehensive report offers exclusive data and statistics projecting the trajectory of the CEM market from 2024 to 2032.

The customer experience management market is expected to expand its roots in the global market at a promising CAGR of 11.6% between 2024 and 2032.

Key Insights:

  • Customer experience management Market CAGR (2024-2032):11.6%
  • Customer experience management Market Value (2024): US$ 13.3 Bn
  • Customer experience management Market Value (2032): US$ 32.1 Bn

Customer Experience Management Market - Report Scope:

Customer experience management (CEM) has emerged as a pivotal strategy for businesses across various industries. It encompasses practices and technologies aimed at understanding, analyzing, and optimizing customer interactions throughout the entire customer journey. With the growing emphasis on customer-centricity, businesses are increasingly investing in CEM solutions to enhance customer satisfaction, loyalty, and retention.

The global CEM market is driven by several factors, including the rising importance of delivering personalized and seamless experiences across multiple touchpoints. In an era where customer expectations are continually evolving, businesses are compelled to adopt CEM solutions to gain actionable insights into customer behavior and preferences. Moreover, the proliferation of digital channels and the advent of technologies such as artificial intelligence and machine learning are revolutionizing CEM practices, enabling businesses to deliver hyper-personalized experiences at scale.

Market Growth Drivers:

The escalating demand for delivering superior customer experiences is a primary driver fueling the growth of the global CEM market. Businesses recognize that providing exceptional customer experiences not only fosters customer loyalty but also drives revenue growth and market differentiation. As competition intensifies across industries, organizations are leveraging CEM solutions to gain a competitive edge by delivering personalized and consistent experiences across all touchpoints. Furthermore, the shift towards subscription-based business models and the growing significance of customer lifetime value are amplifying the importance of CEM in driving long-term customer relationships and profitability.

Market Restraints:

Despite the significant growth prospects, the global CEM market faces challenges, including the complexities associated with integrating disparate data sources and legacy systems. Many organizations struggle with siloed customer data, hindering their ability to gain a holistic view of the customer journey. Additionally, privacy concerns and regulatory compliance requirements pose challenges for businesses in leveraging customer data to personalize experiences without compromising data security and privacy.

Market Opportunities:

The increasing adoption of advanced technologies such as artificial intelligence, machine learning, and predictive analytics presents lucrative opportunities for market players to innovate and differentiate their CEM offerings. These technologies enable businesses to analyze vast amounts of customer data in real-time, uncover actionable insights, and anticipate customer needs and preferences. Furthermore, the growing emphasis on omnichannel experiences and the integration of emerging channels such as social media and messaging platforms offer avenues for businesses to engage with customers in new and meaningful ways.

Key Questions Answered in the Report:

  • What are the key factors driving the adoption of customer experience management solutions?
  • How are businesses leveraging advanced technologies to enhance customer experiences?
  • What are the emerging trends shaping the future of the global CEM market?
  • Who are the leading players in the CEM market, and what strategies are they adopting to maintain their competitive edge?
  • What are the key opportunities and challenges for market growth in the coming years?

Competitive Intelligence and Business Strategy:

To stay ahead in the competitive landscape, leading players in the CEM market are focusing on innovation, strategic partnerships, and mergers and acquisitions. Companies such as Adobe Systems Incorporated, Oracle Corporation, and SAP SE are investing in developing advanced CEM solutions that combine data analytics, artificial intelligence, and automation to deliver personalized experiences across channels. Moreover, strategic collaborations with technology partners and industry players enable companies to expand their market reach and enhance their product offerings.

Key Companies Profiled:

  • ORACLE
  • ADOBE
  • SAP
  • IBM
  • OPENTEXT

Market Segmentation:

By Components

  • Solution

oOmnichannel

oMachine Learning

oAnalytics

oWorkforce Optimization

  • Service
  • Professional Services

oManaged Services

By Deployment

  • On-premise
  • Cloud

By Vertical

  • BFSI
  • IT and Telecom
  • Automotive
  • Healthcare
  • Retail
  • Transportation & Logistics
  • Travel and Hospitality
  • Public Sector
  • Media & Entertainment

By Organization Size

  • Small and Medium Enterprises (SMEs)
  • Large Enterprises

By Touchpoint

  • Websites
  • Stores
  • Call Centers
  • Mobile Apps
  • Social Media
  • Emails
  • Virtual Assistants

Table of Contents

1. Preface

  • 1.1. Market Scope
  • 1.2. Market Segmentation
  • 1.3. Research Highlights

2. Assumptions and Research Methodology

3. Executive Summary : Global Customer Experience Management Market

4. Market Overview

  • 4.1. Introduction
    • 4.1.1. DefinHealthcareion
    • 4.1.2. Industry Evolution / Developments
  • 4.2. Key Market Indicators
    • 4.2.1. Adoption Analysis of Customer Experience Management across the Industries
    • 4.2.2. Impact of Business Intelligence (BI) on Customer Experience Management
  • 4.3. Key trends
  • 4.4. Market Dynamics
    • 4.4.1. Drivers
    • 4.4.2. Restraints
    • 4.4.3. OpportunHealthcarey
  • 4.5. Global Customer Experience Management Market Analysis and Forecast, 2024-2032
    • 4.5.1. Market Revenue Projections (US$ Mn)
  • 4.6. Porters Five Forces Analysis
  • 4.7. Value Chain Analysis
  • 4.8. Market Outlook

5. Global Customer Experience Management Market Analysis and Forecast, By Component

  • 5.1. Introduction/DefinHealthcareion
  • 5.2. Key Findings
  • 5.3. Customer Experience Management Market Analysis and Forecast, By Component, 2024-2032
    • 5.3.1. Solutions
      • 5.3.1.1. Omnichannel
      • 5.3.1.2. Machine Learning
      • 5.3.1.3. Analytics
      • 5.3.1.4. Workforce Optimization
    • 5.3.2. Services
      • 5.3.2.1. Managed Services
      • 5.3.2.2. Professional Services
        • 5.3.2.2.1. Deployment and Integration
        • 5.3.2.2.2. Support and Maintenance
        • 5.3.2.2.3. Consulting and Training
  • 5.4. Market Revenue Share Analysis By Component
  • 5.5. Market Attractiveness By Component

6. Global Customer Experience Management Market Analysis and Forecast, By Organization Size

  • 6.1. Introduction/DefinHealthcareion
  • 6.2. Key Findings
  • 6.3. Customer Experience Management Market Analysis and Forecast, By Organization Size, 2024-2032
    • 6.3.1. SMEs
    • 6.3.2. Large Enterprises
  • 6.4. Market Revenue Share Analysis By Organization Size
  • 6.5. Market Attractiveness By Organization Size

7. Global Customer Experience Management Market Analysis and Forecast, By Deployment Type

  • 7.1. Introduction/DefinHealthcareion
  • 7.2. Key Findings
  • 7.3. Customer Experience Management Market Analysis and Forecast, By Deployment Type, 2024-2032
    • 7.3.1. On-premises
    • 7.3.2. Cloud
  • 7.4. Market Revenue Share Analysis By Deployment Type
  • 7.5. Market Attractiveness By Deployment Type

8. Global Customer Experience Management Market Analysis and Forecast, By Vertical

  • 8.1. Introduction/DefinHealthcareion
  • 8.2. Key Findings
  • 8.3. Customer Experience Management Market Analysis and Forecast, By Vertical, 2024-2032
    • 8.3.1. BFSI
    • 8.3.2. IT and Telecom
    • 8.3.3. Retail
    • 8.3.4. Healthcare
    • 8.3.5. Automotive
    • 8.3.6. Travel and Hospitality
    • 8.3.7. Media and Entertainment
    • 8.3.8. Public Sector
    • 8.3.9. Others
  • 8.4. Market Revenue Share Analysis By Vertical
  • 8.5. Market Attractiveness By Vertical

9. Global Customer Experience Management Market Analysis and Forecast, By Touchpoint

  • 9.1. Introduction/DefinHealthcareion
  • 9.2. Key Findings
  • 9.3. Customer Experience Management Market Analysis and Forecast, By Touchpoint, 2024-2032
    • 9.3.1. Websites
    • 9.3.2. Stores
    • 9.3.3. Call Centers
    • 9.3.4. Mobile Apps
    • 9.3.5. Emails
    • 9.3.6. Virtual Assistants
    • 9.3.7. Social Media
    • 9.3.8. Other Touchpoints
  • 9.4. Market Revenue Share Analysis By Touchpoint
  • 9.5. Market Attractiveness By Touchpoint

10. Global Customer Experience Management Market Analysis and Forecast, By Region

  • 10.1. Key Findings
  • 10.2. Customer Experience Management Market Analysis and Forecast, By Region, 2024-2032
    • 10.2.1. North America
    • 10.2.2. Europe
    • 10.2.3. Asia Pacific
    • 10.2.4. Middle East and Africa
    • 10.2.5. Latin America
  • 10.3. Market Revenue Share Analysis By Region
  • 10.4. Market Attractiveness By Region

11. North America Customer Experience Management Market Analysis and Forecast

  • 11.1. Regional Trends
  • 11.2. Customer Experience Management Market Analysis and Forecast, By Component, 2024-2032
    • 11.2.1. Solutions
      • 11.2.1.1. Omnichannel
      • 11.2.1.2. Machine Learning
      • 11.2.1.3. Analytics
      • 11.2.1.4. Workforce Optimization
    • 11.2.2. Services
      • 11.2.2.1. Managed Services
      • 11.2.2.2. Professional Services
        • 11.2.2.2.1. Deployment and Integration
        • 11.2.2.2.2. Support and Maintenance
        • 11.2.2.2.3. Consulting and Training
  • 11.3. Customer Experience Management Market Analysis and Forecast, By Organization Size , 2024-2032
    • 11.3.1. SMEs
    • 11.3.2. Large Enterprises
  • 11.4. Customer Experience Management Market Analysis and Forecast, By Deployment Type , 2024-2032
    • 11.4.1. On-premises
    • 11.4.2. Cloud
  • 11.5. Customer Experience Management Market Analysis and Forecast, By Vertical, 2024-2032
    • 11.5.1. BFSI
    • 11.5.2. IT and Telecom
    • 11.5.3. Retail
    • 11.5.4. Healthcare
    • 11.5.5. Automotive
    • 11.5.6. Travel and Hospitality
    • 11.5.7. Media and Entertainment
    • 11.5.8. Public Sector
    • 11.5.9. Others
  • 11.6. Customer Experience Management Market Analysis and Forecast, By Touchpoint, 2024-2032
    • 11.6.1. Websites
    • 11.6.2. Stores
    • 11.6.3. Call Centers
    • 11.6.4. Mobile Apps
    • 11.6.5. Emails
    • 11.6.6. Virtual Assistants
    • 11.6.7. Social Media
    • 11.6.8. Other Touchpoints
  • 11.7. Customer Experience Management Market Analysis and Forecast, By Country, 2024-2032
    • 11.7.1. The U.S.
      • 11.7.1.1. By Component
      • 11.7.1.2. By Organization Size
      • 11.7.1.3. By Deployment Type
      • 11.7.1.4. By Vertical
      • 11.7.1.5. By Touchpoint
    • 11.7.2. Canada
      • 11.7.2.1. By Component
      • 11.7.2.2. By Organization Size
      • 11.7.2.3. By Deployment Type
      • 11.7.2.4. By Vertical
      • 11.7.2.5. By Touchpoint
    • 11.7.3. Rest of North America
  • 11.8. Customer Experience Management Market Analysis and Forecast, By Country, 2024-2032
  • 11.9. Market Revenue Share Analysis
  • 11.10. Market Attractiveness Analysis
    • 11.10.1. By Component
    • 11.10.2. By Organization Size
    • 11.10.3. By Deployment Type
    • 11.10.4. By Vertical
    • 11.10.5. By Touchpoint
    • 11.10.6. By Country

12. Europe Customer Experience Management Market Analysis and Forecast

  • 12.1. Regional Trends
  • 12.2. Customer Experience Management Market Analysis and Forecast, By Component, 2024-2032
    • 12.2.1. Solutions
      • 12.2.1.1. Omnichannel
      • 12.2.1.2. Machine Learning
      • 12.2.1.3. Analytics
      • 12.2.1.4. Workforce Optimization
    • 12.2.2. Services
      • 12.2.2.1. Managed Services
      • 12.2.2.2. Professional Services
        • 12.2.2.2.1. Deployment and Integration
        • 12.2.2.2.2. Support and Maintenance
        • 12.2.2.2.3. Consulting and Training
  • 12.3. Customer Experience Management Market Analysis and Forecast, By Organization Size , 2024-2032
    • 12.3.1. SMEs
    • 12.3.2. Large Enterprises
  • 12.4. Customer Experience Management Market Analysis and Forecast, By Deployment Type , 2024-2032
    • 12.4.1. On-premises
    • 12.4.2. Cloud
  • 12.5. Customer Experience Management Market Analysis and Forecast, By Vertical, 2024-2032
    • 12.5.1. BFSI
    • 12.5.2. IT and Telecom
    • 12.5.3. Retail
    • 12.5.4. Healthcare
    • 12.5.5. Automotive
    • 12.5.6. Travel and Hospitality
    • 12.5.7. Media and Entertainment
    • 12.5.8. Public Sector
    • 12.5.9. Others
  • 12.6. Customer Experience Management Market Analysis and Forecast, By Touchpoint, 2024-2032
    • 12.6.1. Websites
    • 12.6.2. Stores
    • 12.6.3. Call Centers
    • 12.6.4. Mobile Apps
    • 12.6.5. Emails
    • 12.6.6. Virtual Assistants
    • 12.6.7. Social Media
    • 12.6.8. Other Touchpoints
  • 12.7. Customer Experience Management Market Analysis and Forecast, By Country, 2024-2032
    • 12.7.1. The U.K.
      • 12.7.1.1. By Component
      • 12.7.1.2. By Organization Size
      • 12.7.1.3. By Deployment Type
      • 12.7.1.4. By Vertical
      • 12.7.1.5. By Touchpoint
    • 12.7.2. Germany
      • 12.7.2.1. By Component
      • 12.7.2.2. By Organization Size
      • 12.7.2.3. By Deployment Type
      • 12.7.2.4. By Vertical
      • 12.7.2.5. By Touchpoint
    • 12.7.3. France
      • 12.7.3.1. By Component
      • 12.7.3.2. By Organization Size
      • 12.7.3.3. By Deployment Type
      • 12.7.3.4. By Vertical
      • 12.7.3.5. By Touchpoint
    • 12.7.4. Rest of Europe
  • 12.8. Market Revenue Share Analysis
  • 12.9. Market Attractiveness Analysis
    • 12.9.1. By Component
    • 12.9.2. By Organization Size
    • 12.9.3. By Deployment Type
    • 12.9.4. By Vertical
    • 12.9.5. By Touchpoint
    • 12.9.6. By Country

13. Asia Pacific Customer Experience Management Market Analysis and Forecast

  • 13.1. Regional Trends
  • 13.2. Customer Experience Management Market Analysis and Forecast, By Component, 2024-2032
    • 13.2.1. Solutions
      • 13.2.1.1. Omnichannel
      • 13.2.1.2. Machine Learning
      • 13.2.1.3. Analytics
      • 13.2.1.4. Workforce Optimization
    • 13.2.2. Services
      • 13.2.2.1. Managed Services
      • 13.2.2.2. Professional Services
        • 13.2.2.2.1. Deployment and Integration
        • 13.2.2.2.2. Support and Maintenance
        • 13.2.2.2.3. Consulting and Training
  • 13.3. Customer Experience Management Market Analysis and Forecast, By Organization Size , 2024-2032
    • 13.3.1. SMEs
    • 13.3.2. Large Enterprises
  • 13.4. Customer Experience Management Market Analysis and Forecast, By Deployment Type , 2024-2032
    • 13.4.1. On-premises
    • 13.4.2. Cloud
  • 13.5. Customer Experience Management Market Analysis and Forecast, By Vertical, 2024-2032
    • 13.5.1. BFSI
    • 13.5.2. IT and Telecom
    • 13.5.3. Retail
    • 13.5.4. Healthcare
    • 13.5.5. Automotive
    • 13.5.6. Travel and Hospitality
    • 13.5.7. Media and Entertainment
    • 13.5.8. Public Sector
    • 13.5.9. Others
  • 13.6. Customer Experience Management Market Analysis and Forecast, By Touchpoint, 2024-2032
    • 13.6.1. Websites
    • 13.6.2. Stores
    • 13.6.3. Call Centers
    • 13.6.4. Mobile Apps
    • 13.6.5. Emails
    • 13.6.6. Virtual Assistants
    • 13.6.7. Social Media
    • 13.6.8. Other Touchpoints
  • 13.7. Customer Experience Management Market Analysis and Forecast, By Country, 2024-2032
    • 13.7.1. China
      • 13.7.1.1. By Component
      • 13.7.1.2. By Organization Size
      • 13.7.1.3. By Deployment Type
      • 13.7.1.4. By Vertical
      • 13.7.1.5. By Touchpoint
    • 13.7.2. South Korea
      • 13.7.2.1. By Component
      • 13.7.2.2. By Organization Size
      • 13.7.2.3. By Deployment Type
      • 13.7.2.4. By Vertical
      • 13.7.2.5. By Touchpoint
    • 13.7.3. Japan
      • 13.7.3.1. By Component
      • 13.7.3.2. By Organization Size
      • 13.7.3.3. By Deployment Type
      • 13.7.3.4. By Vertical
      • 13.7.3.5. By Touchpoint
    • 13.7.4. Rest of Asia Pacific
  • 13.8. Market Revenue Share Analysis
  • 13.9. Market Attractiveness Analysis
    • 13.9.1. By Component
    • 13.9.2. By Organization Size
    • 13.9.3. By Deployment Type
    • 13.9.4. By Vertical
    • 13.9.5. By Vertical
    • 13.9.6. By Touchpoint
    • 13.9.7. By Country

14. Middle East and Africa (MEA) Customer Experience Management Market Analysis and Forecast

  • 14.1. Regional Trends
  • 14.2. Customer Experience Management Market Analysis and Forecast, By Component, 2024-2032
    • 14.2.1. Solutions
      • 14.2.1.1. Omnichannel
      • 14.2.1.2. Machine Learning
      • 14.2.1.3. Analytics
      • 14.2.1.4. Workforce Optimization
    • 14.2.2. Services
      • 14.2.2.1. Managed Services
      • 14.2.2.2. Professional Services
        • 14.2.2.2.1. Deployment and Integration
        • 14.2.2.2.2. Support and Maintenance
        • 14.2.2.2.3. Consulting and Training
  • 14.3. Customer Experience Management Market Analysis and Forecast, By Organization Size , 2024-2032
    • 14.3.1. SMEs
    • 14.3.2. Large Enterprises
  • 14.4. Customer Experience Management Market Analysis and Forecast, By Deployment Type , 2024-2032
    • 14.4.1. On-premises
    • 14.4.2. Cloud
  • 14.5. Customer Experience Management Market Analysis and Forecast, By Vertical, 2024-2032
    • 14.5.1. BFSI
    • 14.5.2. IT and Telecom
    • 14.5.3. Retail
    • 14.5.4. Healthcare
    • 14.5.5. Automotive
    • 14.5.6. Travel and Hospitality
    • 14.5.7. Media and Entertainment
    • 14.5.8. Public Sector
    • 14.5.9. Others
  • 14.6. Customer Experience Management Market Analysis and Forecast, By Touchpoint, 2024-2032
    • 14.6.1. Websites
    • 14.6.2. Stores
    • 14.6.3. Call Centers
    • 14.6.4. Mobile Apps
    • 14.6.5. Emails
    • 14.6.6. Virtual Assistants
    • 14.6.7. Social Media
    • 14.6.8. Other Touchpoints
  • 14.7. Customer Experience Management Market Analysis and Forecast, By Country, 2024-2032
    • 14.7.1. GCC
      • 14.7.1.1. By Component
      • 14.7.1.2. By Organization Size
      • 14.7.1.3. By Deployment Type
      • 14.7.1.4. By Vertical
      • 14.7.1.5. By Touchpoint
    • 14.7.2. South Africa
      • 14.7.2.1. By Component
      • 14.7.2.2. By Organization Size
      • 14.7.2.3. By Deployment Type
      • 14.7.2.4. By Vertical
      • 14.7.2.5. By Touchpoint
    • 14.7.3. Rest of Middle East and Africa (MEA)
  • 14.8. Market Revenue Share Analysis
  • 14.9. Market Attractiveness Analysis
    • 14.9.1. By Component
    • 14.9.2. By Organization Size
    • 14.9.3. By Deployment Type
    • 14.9.4. By Vertical
    • 14.9.5. By Touchpoint
    • 14.9.6. By Country

15. Latin America Customer Experience Management Market Analysis and Forecast

  • 15.1. Regional Trends
  • 15.2. Customer Experience Management Market Analysis and Forecast, By Component, 2024-2032
    • 15.2.1. Solutions
      • 15.2.1.1. Omnichannel
      • 15.2.1.2. Machine Learning
      • 15.2.1.3. Analytics
      • 15.2.1.4. Workforce Optimization
    • 15.2.2. Services
      • 15.2.2.1. Managed Services
      • 15.2.2.2. Professional Services
        • 15.2.2.2.1. Deployment and Integration
        • 15.2.2.2.2. Support and Maintenance
        • 15.2.2.2.3. Consulting and Training
  • 15.3. Customer Experience Management Market Analysis and Forecast, By Organization Size , 2024-2032
    • 15.3.1. SMEs
    • 15.3.2. Large Enterprises
  • 15.4. Customer Experience Management Market Analysis and Forecast, By Deployment Type , 2024-2032
    • 15.4.1. On-premises
    • 15.4.2. Cloud
  • 15.5. Customer Experience Management Market Analysis and Forecast, By Vertical, 2024-2032
    • 15.5.1. BFSI
    • 15.5.2. IT and Telecom
    • 15.5.3. Retail
    • 15.5.4. Healthcare
    • 15.5.5. Automotive
    • 15.5.6. Travel and Hospitality
    • 15.5.7. Media and Entertainment
    • 15.5.8. Public Sector
    • 15.5.9. Others
  • 15.6. Customer Experience Management Market Analysis and Forecast, By Touchpoint, 2024-2032
    • 15.6.1. Websites
    • 15.6.2. Stores
    • 15.6.3. Call Centers
    • 15.6.4. Mobile Apps
    • 15.6.5. Emails
    • 15.6.6. Virtual Assistants
    • 15.6.7. Social Media
    • 15.6.8. Other Touchpoints
  • 15.7. Customer Experience Management Market Analysis and Forecast, By Country, 2024-2032
    • 15.7.1. Brazil
      • 15.7.1.1. By Component
      • 15.7.1.2. By Organization Size
      • 15.7.1.3. By Deployment Type
      • 15.7.1.4. By Vertical
      • 15.7.1.5. By Touchpoint
    • 15.7.2. Mexico
      • 15.7.2.1. By Component
      • 15.7.2.2. By Organization Size
      • 15.7.2.3. By Deployment Type
      • 15.7.2.4. By Vertical
      • 15.7.2.5. By Touchpoint
    • 15.7.3. Rest of Latin America
  • 15.8. Market Revenue Share Analysis
  • 15.9. Market Attractiveness Analysis
    • 15.9.1. By Component
    • 15.9.2. By Organization Size
    • 15.9.3. By Deployment Type
    • 15.9.4. By Vertical
    • 15.9.5. By Touchpoint
    • 15.9.6. By Country

16. Competative Landscape

  • 16.1. CompetHealthcareion Matrix
  • 16.2. Market PosHealthcareioning of Key Players, By Company, 2024

17. Company Profiles

  • 17.1. Company Profiles (Details - Overview, Financials, Recent Developments, Strategy)
    • 17.1.1. IBM
      • 17.1.1.1. Overview
      • 17.1.1.2. Financials
      • 17.1.1.3. Recent Developments
      • 17.1.1.4. Strategy
    • 17.1.2. SAP
      • 17.1.2.1. Overview
      • 17.1.2.2. Financials
      • 17.1.2.3. Recent Developments
      • 17.1.2.4. Strategy
    • 17.1.3. ORACLE
      • 17.1.3.1. Overview
      • 17.1.3.2. Financials
      • 17.1.3.3. Recent Developments
      • 17.1.3.4. Strategy
    • 17.1.4. AVAYA
      • 17.1.4.1. Overview
      • 17.1.4.2. Financials
      • 17.1.4.3. Recent Developments
      • 17.1.4.4. Strategy
    • 17.1.5. OPENTEXT
      • 17.1.5.1. Overview
      • 17.1.5.2. Financials
      • 17.1.5.3. Recent Developments
      • 17.1.5.4. Strategy
    • 17.1.6. ADOBE
      • 17.1.6.1. Overview
      • 17.1.6.2. Financials
      • 17.1.6.3. Recent Developments
      • 17.1.6.4. Strategy
    • 17.1.7. VERINT SYSTEMS
      • 17.1.7.1. Overview
      • 17.1.7.2. Financials
      • 17.1.7.3. Recent Developments
      • 17.1.7.4. Strategy
    • 17.1.8. TERADATA
      • 17.1.8.1. Overview
      • 17.1.8.2. Financials
      • 17.1.8.3. Recent Developments
      • 17.1.8.4. Strategy
    • 17.1.9. TECH MAHINDRA
      • 17.1.9.1. Overview
      • 17.1.9.2. Financials
      • 17.1.9.3. Recent Developments
      • 17.1.9.4. Strategy
    • 17.1.10. NOKIA
      • 17.1.10.1. Overview
      • 17.1.10.2. Financials
      • 17.1.10.3. Recent Developments
      • 17.1.10.4. Strategy

18. Key Takeways