시장보고서
상품코드
1872082

고객경험관리 : 세계 시장 점유율과 순위, 총판매량 및 수요 예측(2025-2031년)

Customer Experience Management - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031

발행일: | 리서치사: QYResearch | 페이지 정보: 영문 | 배송안내 : 2-3일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

세계의 고객경험관리(CEM 또는 CXM) 시장 규모는 2024년에 192억 3,600만 달러로 추정되며, 2025-2031년의 예측 기간 중 CAGR 15.4%로 성장하며, 2031년까지 510억 8,900만 달러로 확대할 것으로 예측됩니다.

고객경험관리(CEM 또는 CXM)는 고객의 구매 프로세스 전반에 걸쳐 고객과의 상호작용을 추적하는 일련의 프로세스를 말합니다. CEM을 통해 조직은 이러한 고객과의 상호 작용에 대한 인사이트를 얻고 각 접점을 최적화하여 고객 충성도를 높이고 고객 평생 가치(CLV)를 향상시킬 수 있습니다. 우수한 고객경험관리 소프트웨어는 기업 관련 기업 정보 및 프로세스의 운영, 관리, 컴플라이언스를 최적화하면서 모든 고객과의 상호 작용에서 고객 중심의 경험을 대규모로 제공할 수 있게 해줍니다.

기술 중심의 지능형 업그레이드

AI와 자동화: 자연 언어 처리(NLP)와 머신러닝 기술이 널리 활용되고 있습니다. 예를 들어 AI 챗봇은 정형화된 문의의 70%를 처리하고 고객 만족도를 18% 향상시켰습니다. Glassbox의 AI 인사이트 어시스턴트(GIA)는 90% 이상의 정확도로 고객 이탈 위험 지점을 자동 식별할 수 있습니다.

옴니채널 통합: 기업은 '멀티채널'에서 '옴니채널' 전략으로 전환하고 있습니다. 예를 들어 한 E-Commerce 플랫폼은 통합 고객 데이터 허브를 통해 크로스 채널 경험의 일관성을 50% 향상시키고, 재구매율을 15% 증가시켰습니다.

실시간 피드백 및 예측 분석 : 대화 기록, 감정 분석 등 실시간 데이터 수집 기술을 통해 고객 경험이 악화되기 전에 기업이 적극적으로 개입할 수 있습니다. 한 항공사는 고객 서비스 대화를 실시간으로 모니터링하여 불만 해결 효율을 60% 향상시켰습니다.

체험경제의 깊은 침투

개인화 수요의 폭발적 증가: 맞춤형 서비스에 대한 소비자의 기대가 높아지면서 CXM은 '표준화'에서 '시나리오 기반'으로 전환하고 있습니다. 예를 들어 한 은행은 AI를 활용하여 고객의 지출 습관을 분석하고, 동적 신용 한도를 제안한 결과 고객 유지율이 25% 향상되었습니다.

경험 자체를 상품으로 포지셔닝하는 움직임: 일부 업계에서는 경험 자체를 핵심 경쟁우위로 삼고 있습니다. 예를 들어 한 호텔 그룹은 CXM 플랫폼에서 룸서비스, 레스토랑 예약, 관광 제안을 통합하여 고객 경험에서 30%의 프리미엄을 실현했습니다.

데이터 컴플라이언스 및 윤리적 이슈

개인정보보호 강화: GDPR(EU 개인정보보호규정), 중국 개인정보보호법 등의 규제가 CXM 기술의 고도화를 촉진하고 있으며, 기업은 데이터 활용과 컴플라이언스 리스크의 균형을 맞추어야 합니다. 예를 들어 소매업체는 연합 학습 기술을 채택하여 원시 데이터를 공유하지 않고도 교차 채널 분석을 실현했습니다.

윤리와 투명성: 알고리즘의 편향성과 데이터 악용에 대한 고객의 민감도가 높아지는 가운데, 기업은 투명한 데이터 활용 정책을 수립해야 합니다. 예를 들어 한 승차공유 플랫폼이 알고리즘 로직을 공개했을 때, 고객 신뢰도가 18% 향상되었습니다.

생태계 통합 및 산업 수직적 통합

솔루션의 모듈화: 주요 벤더들은 API 개방성과 생태계 연계(예: Salesforce와 Slack, Tableau의 딥 통합)를 통해 CXM 플랫폼을 구축하여 기업의 기술 통합 비용을 절감하고 있습니다.

산업 특화형 솔루션: 의료업계의 환자 경험 관리 시스템, 제조업의 애프터서비스 경험 최적화 툴 등 업종 특화형 솔루션이 등장하고 있습니다. 한 자동차 브랜드는 산업 특화형 CXM 시스템 도입으로 고객 만족도를 72%에서 89%로 향상시켰습니다.

이 보고서는 세계의 고객경험관리 시장에 대해 총매출액, 주요 기업의 시장 점유율 및 순위에 초점을 맞추고 지역/국가, 유형 및 애플리케이션별 분석을 종합적으로 제시하는 것을 목적으로 합니다.

고객경험관리 시장 규모, 추정 및 예측은 2024년을 기준 연도로 하여 2020-2031년의 기간 중의 과거 데이터와 예측 데이터를 포함하는 판매 매출로 제시되었습니다. 정량적 분석과 정성적 분석을 통해 독자들이 비즈니스/성장 전략을 수립하고, 시장 경쟁 구도를 평가하고, 현재 시장에서의 포지셔닝을 분석하고, 고객경험관리와 관련된 정보에 입각한 비즈니스 의사결정을 내릴 수 있도록 돕습니다.

시장 세분화

기업별

  • Adobe Systems
  • Nice Systems
  • SAP SE
  • Oracle
  • Sitecore
  • IBM
  • Medallia
  • Opentext
  • Verint Systems
  • Maritzcx
  • Tech Mahindra
  • SAS Institute
  • Avaya
  • Clarabridge
  • Zendesk
  • InMoment
  • Ignite

유형별 부문

  • 클라우드 기반
  • 온프레미스형

용도별 부문

  • BFSI
  • 소매
  • 의료
  • IT·통신
  • 제조업
  • 정부
  • 에너지·유틸리티
  • 기타

지역별

  • 북미
    • 미국
    • 캐나다
  • 아시아태평양
    • 중국
    • 일본
    • 한국
    • 동남아시아
    • 인도
    • 호주
    • 기타 아시아태평양
  • 유럽
    • 독일
    • 프랑스
    • 영국
    • 이탈리아
    • 네덜란드
    • 북유럽 국가
    • 기타 유럽
  • 라틴아메리카
    • 멕시코
    • 브라질
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • 튀르키예
    • 사우디아라비아
    • 아랍에미리트
    • 기타 중동 및 아프리카
KSA 25.12.03

자주 묻는 질문

  • 2024년 고객경험관리 시장 규모는 어떻게 되나요?
  • 고객경험관리(CEM 또는 CXM)의 정의는 무엇인가요?
  • AI와 자동화 기술이 고객경험관리에서 어떻게 활용되고 있나요?
  • 옴니채널 통합의 효과는 무엇인가요?
  • 고객 경험을 개선하기 위한 실시간 피드백의 중요성은 무엇인가요?
  • 고객경험관리 시장에서 주요 기업은 어디인가요?

The global market for Customer Experience Management was estimated to be worth US$ 19236 million in 2024 and is forecast to a readjusted size of US$ 51089 million by 2031 with a CAGR of 15.4% during the forecast period 2025-2031.

Customer experience management (CEM or CXM) is a set of processes used to track customer interactions throughout the customer journey. CEM allows organizations to gain insight into these customer interactions and optimize each touchpoint to drive loyalty and improve customer lifetime value. The best customer experience management software enables enterprises to provide customer-centric experiences across all customer interactions at scale, while optimizing operations, control, and compliance of the associated enterprise information and processes.

Technology-driven intelligent upgrades

AI and automation: Natural language processing (NLP) and machine learning technologies are widely used. For example, AI chatbots handle 70% of routine inquiries, improving customer satisfaction by 18%; Glassbox's AI Insight Assistant (GIA) can automatically identify customer churn risk points with an accuracy rate of over 90%.

Omnichannel Integration: Businesses are transitioning from "multichannel" to "omnichannel" strategies. For example, an e-commerce platform improved cross-channel experience consistency by 50% and increased repeat purchase rates by 15% through a unified customer data hub.

Real-time feedback and predictive analytics: Real-time data collection technologies (such as conversation recording and sentiment analysis) enable businesses to proactively intervene before customer experiences deteriorate. A certain airline improved complaint resolution efficiency by 60% by monitoring customer service conversations in real time.

The deep penetration of the experience economy

Explosion of personalized demand: Consumer expectations for customized services are driving CXM to shift from "standardization" to "scenario-based." For example, a bank used AI to analyze customer spending habits and provide dynamic credit limit recommendations, resulting in a 25% increase in customer retention rates.

Experience as a product: Some industries position experience itself as a core competitive advantage. For instance, a hotel group integrated room service, dining reservations, and tourism recommendations through a CXM platform, achieving a 30% premium on customer experience.

Data Compliance and Ethical Challenges

Strengthened Privacy Protection: Regulations such as the GDPR and China's Personal Information Protection Law are driving CXM technology upgrades, requiring companies to balance data utilization and compliance risks. For example, a retail company adopted federated learning technology to enable cross-channel analysis without sharing raw data.

Ethics and Transparency: As customers become more sensitive to algorithmic bias and data misuse, companies must establish transparent data usage policies. For example, a ride-sharing platform publicly disclosed its algorithmic logic, resulting in an 18% increase in customer trust.

Ecosystem Integration and Industry Vertical Integration

Solution Modularization: Leading vendors are building CXM platforms through API openness and ecosystem partnerships, such as Salesforce's deep integration with Slack and Tableau, reducing companies' technology integration costs.

Industry Customization: Vertical-specific solutions are emerging, such as patient journey management systems in the healthcare industry and post-sales experience optimization tools in manufacturing. A certain automotive brand improved customer satisfaction from 72% to 89% by adopting an industry-specific CXM system.

This report aims to provide a comprehensive presentation of the global market for Customer Experience Management, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Customer Experience Management by region & country, by Type, and by Application.

The Customer Experience Management market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Customer Experience Management.

Market Segmentation

By Company

  • Adobe Systems
  • Nice Systems
  • SAP SE
  • Oracle
  • Sitecore
  • IBM
  • Medallia
  • Opentext
  • Verint Systems
  • Maritzcx
  • Tech Mahindra
  • SAS Institute
  • Avaya
  • Clarabridge
  • Zendesk
  • InMoment
  • Ignite

Segment by Type

  • Cloud-Based
  • On-Premise

Segment by Application

  • BFSI
  • Retail
  • Healthcare
  • IT & Telecom
  • Manufacturing
  • Government
  • Energy & Utilities
  • Others

By Region

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Southeast Asia
    • India
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Netherlands
    • Nordic Countries
    • Rest of Europe
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America
  • Middle East & Africa
    • Turkey
    • Saudi Arabia
    • UAE
    • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of Customer Experience Management company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of Customer Experience Management in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of Customer Experience Management in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

1 Market Overview

  • 1.1 Customer Experience Management Product Introduction
  • 1.2 Global Customer Experience Management Market Size Forecast (2020-2031)
  • 1.3 Customer Experience Management Market Trends & Drivers
    • 1.3.1 Customer Experience Management Industry Trends
    • 1.3.2 Customer Experience Management Market Drivers & Opportunity
    • 1.3.3 Customer Experience Management Market Challenges
    • 1.3.4 Customer Experience Management Market Restraints
  • 1.4 Assumptions and Limitations
  • 1.5 Study Objectives
  • 1.6 Years Considered

2 Competitive Analysis by Company

  • 2.1 Global Customer Experience Management Players Revenue Ranking (2024)
  • 2.2 Global Customer Experience Management Revenue by Company (2020-2025)
  • 2.3 Key Companies Customer Experience Management Manufacturing Base Distribution and Headquarters
  • 2.4 Key Companies Customer Experience Management Product Offered
  • 2.5 Key Companies Time to Begin Mass Production of Customer Experience Management
  • 2.6 Customer Experience Management Market Competitive Analysis
    • 2.6.1 Customer Experience Management Market Concentration Rate (2020-2025)
    • 2.6.2 Global 5 and 10 Largest Companies by Customer Experience Management Revenue in 2024
    • 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Customer Experience Management as of 2024)
  • 2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type

  • 3.1 Introduction by Type
    • 3.1.1 Cloud-Based
    • 3.1.2 On-Premise
  • 3.2 Global Customer Experience Management Sales Value by Type
    • 3.2.1 Global Customer Experience Management Sales Value by Type (2020 VS 2024 VS 2031)
    • 3.2.2 Global Customer Experience Management Sales Value, by Type (2020-2031)
    • 3.2.3 Global Customer Experience Management Sales Value, by Type (%) (2020-2031)

4 Segmentation by Application

  • 4.1 Introduction by Application
    • 4.1.1 BFSI
    • 4.1.2 Retail
    • 4.1.3 Healthcare
    • 4.1.4 IT & Telecom
    • 4.1.5 Manufacturing
    • 4.1.6 Government
    • 4.1.7 Energy & Utilities
    • 4.1.8 Others
  • 4.2 Global Customer Experience Management Sales Value by Application
    • 4.2.1 Global Customer Experience Management Sales Value by Application (2020 VS 2024 VS 2031)
    • 4.2.2 Global Customer Experience Management Sales Value, by Application (2020-2031)
    • 4.2.3 Global Customer Experience Management Sales Value, by Application (%) (2020-2031)

5 Segmentation by Region

  • 5.1 Global Customer Experience Management Sales Value by Region
    • 5.1.1 Global Customer Experience Management Sales Value by Region: 2020 VS 2024 VS 2031
    • 5.1.2 Global Customer Experience Management Sales Value by Region (2020-2025)
    • 5.1.3 Global Customer Experience Management Sales Value by Region (2026-2031)
    • 5.1.4 Global Customer Experience Management Sales Value by Region (%), (2020-2031)
  • 5.2 North America
    • 5.2.1 North America Customer Experience Management Sales Value, 2020-2031
    • 5.2.2 North America Customer Experience Management Sales Value by Country (%), 2024 VS 2031
  • 5.3 Europe
    • 5.3.1 Europe Customer Experience Management Sales Value, 2020-2031
    • 5.3.2 Europe Customer Experience Management Sales Value by Country (%), 2024 VS 2031
  • 5.4 Asia Pacific
    • 5.4.1 Asia Pacific Customer Experience Management Sales Value, 2020-2031
    • 5.4.2 Asia Pacific Customer Experience Management Sales Value by Region (%), 2024 VS 2031
  • 5.5 South America
    • 5.5.1 South America Customer Experience Management Sales Value, 2020-2031
    • 5.5.2 South America Customer Experience Management Sales Value by Country (%), 2024 VS 2031
  • 5.6 Middle East & Africa
    • 5.6.1 Middle East & Africa Customer Experience Management Sales Value, 2020-2031
    • 5.6.2 Middle East & Africa Customer Experience Management Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions

  • 6.1 Key Countries/Regions Customer Experience Management Sales Value Growth Trends, 2020 VS 2024 VS 2031
  • 6.2 Key Countries/Regions Customer Experience Management Sales Value, 2020-2031
  • 6.3 United States
    • 6.3.1 United States Customer Experience Management Sales Value, 2020-2031
    • 6.3.2 United States Customer Experience Management Sales Value by Type (%), 2024 VS 2031
    • 6.3.3 United States Customer Experience Management Sales Value by Application, 2024 VS 2031
  • 6.4 Europe
    • 6.4.1 Europe Customer Experience Management Sales Value, 2020-2031
    • 6.4.2 Europe Customer Experience Management Sales Value by Type (%), 2024 VS 2031
    • 6.4.3 Europe Customer Experience Management Sales Value by Application, 2024 VS 2031
  • 6.5 China
    • 6.5.1 China Customer Experience Management Sales Value, 2020-2031
    • 6.5.2 China Customer Experience Management Sales Value by Type (%), 2024 VS 2031
    • 6.5.3 China Customer Experience Management Sales Value by Application, 2024 VS 2031
  • 6.6 Japan
    • 6.6.1 Japan Customer Experience Management Sales Value, 2020-2031
    • 6.6.2 Japan Customer Experience Management Sales Value by Type (%), 2024 VS 2031
    • 6.6.3 Japan Customer Experience Management Sales Value by Application, 2024 VS 2031
  • 6.7 South Korea
    • 6.7.1 South Korea Customer Experience Management Sales Value, 2020-2031
    • 6.7.2 South Korea Customer Experience Management Sales Value by Type (%), 2024 VS 2031
    • 6.7.3 South Korea Customer Experience Management Sales Value by Application, 2024 VS 2031
  • 6.8 Southeast Asia
    • 6.8.1 Southeast Asia Customer Experience Management Sales Value, 2020-2031
    • 6.8.2 Southeast Asia Customer Experience Management Sales Value by Type (%), 2024 VS 2031
    • 6.8.3 Southeast Asia Customer Experience Management Sales Value by Application, 2024 VS 2031
  • 6.9 India
    • 6.9.1 India Customer Experience Management Sales Value, 2020-2031
    • 6.9.2 India Customer Experience Management Sales Value by Type (%), 2024 VS 2031
    • 6.9.3 India Customer Experience Management Sales Value by Application, 2024 VS 2031

7 Company Profiles

  • 7.1 Adobe Systems
    • 7.1.1 Adobe Systems Profile
    • 7.1.2 Adobe Systems Main Business
    • 7.1.3 Adobe Systems Customer Experience Management Products, Services and Solutions
    • 7.1.4 Adobe Systems Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.1.5 Adobe Systems Recent Developments
  • 7.2 Nice Systems
    • 7.2.1 Nice Systems Profile
    • 7.2.2 Nice Systems Main Business
    • 7.2.3 Nice Systems Customer Experience Management Products, Services and Solutions
    • 7.2.4 Nice Systems Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.2.5 Nice Systems Recent Developments
  • 7.3 SAP SE
    • 7.3.1 SAP SE Profile
    • 7.3.2 SAP SE Main Business
    • 7.3.3 SAP SE Customer Experience Management Products, Services and Solutions
    • 7.3.4 SAP SE Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.3.5 SAP SE Recent Developments
  • 7.4 Oracle
    • 7.4.1 Oracle Profile
    • 7.4.2 Oracle Main Business
    • 7.4.3 Oracle Customer Experience Management Products, Services and Solutions
    • 7.4.4 Oracle Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.4.5 Oracle Recent Developments
  • 7.5 Sitecore
    • 7.5.1 Sitecore Profile
    • 7.5.2 Sitecore Main Business
    • 7.5.3 Sitecore Customer Experience Management Products, Services and Solutions
    • 7.5.4 Sitecore Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.5.5 Sitecore Recent Developments
  • 7.6 IBM
    • 7.6.1 IBM Profile
    • 7.6.2 IBM Main Business
    • 7.6.3 IBM Customer Experience Management Products, Services and Solutions
    • 7.6.4 IBM Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.6.5 IBM Recent Developments
  • 7.7 Medallia
    • 7.7.1 Medallia Profile
    • 7.7.2 Medallia Main Business
    • 7.7.3 Medallia Customer Experience Management Products, Services and Solutions
    • 7.7.4 Medallia Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.7.5 Medallia Recent Developments
  • 7.8 Opentext
    • 7.8.1 Opentext Profile
    • 7.8.2 Opentext Main Business
    • 7.8.3 Opentext Customer Experience Management Products, Services and Solutions
    • 7.8.4 Opentext Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.8.5 Opentext Recent Developments
  • 7.9 Verint Systems
    • 7.9.1 Verint Systems Profile
    • 7.9.2 Verint Systems Main Business
    • 7.9.3 Verint Systems Customer Experience Management Products, Services and Solutions
    • 7.9.4 Verint Systems Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.9.5 Verint Systems Recent Developments
  • 7.10 Maritzcx
    • 7.10.1 Maritzcx Profile
    • 7.10.2 Maritzcx Main Business
    • 7.10.3 Maritzcx Customer Experience Management Products, Services and Solutions
    • 7.10.4 Maritzcx Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.10.5 Maritzcx Recent Developments
  • 7.11 Tech Mahindra
    • 7.11.1 Tech Mahindra Profile
    • 7.11.2 Tech Mahindra Main Business
    • 7.11.3 Tech Mahindra Customer Experience Management Products, Services and Solutions
    • 7.11.4 Tech Mahindra Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.11.5 Tech Mahindra Recent Developments
  • 7.12 SAS Institute
    • 7.12.1 SAS Institute Profile
    • 7.12.2 SAS Institute Main Business
    • 7.12.3 SAS Institute Customer Experience Management Products, Services and Solutions
    • 7.12.4 SAS Institute Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.12.5 SAS Institute Recent Developments
  • 7.13 Avaya
    • 7.13.1 Avaya Profile
    • 7.13.2 Avaya Main Business
    • 7.13.3 Avaya Customer Experience Management Products, Services and Solutions
    • 7.13.4 Avaya Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.13.5 Avaya Recent Developments
  • 7.14 Clarabridge
    • 7.14.1 Clarabridge Profile
    • 7.14.2 Clarabridge Main Business
    • 7.14.3 Clarabridge Customer Experience Management Products, Services and Solutions
    • 7.14.4 Clarabridge Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.14.5 Clarabridge Recent Developments
  • 7.15 Zendesk
    • 7.15.1 Zendesk Profile
    • 7.15.2 Zendesk Main Business
    • 7.15.3 Zendesk Customer Experience Management Products, Services and Solutions
    • 7.15.4 Zendesk Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.15.5 Zendesk Recent Developments
  • 7.16 InMoment
    • 7.16.1 InMoment Profile
    • 7.16.2 InMoment Main Business
    • 7.16.3 InMoment Customer Experience Management Products, Services and Solutions
    • 7.16.4 InMoment Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.16.5 InMoment Recent Developments
  • 7.17 Ignite
    • 7.17.1 Ignite Profile
    • 7.17.2 Ignite Main Business
    • 7.17.3 Ignite Customer Experience Management Products, Services and Solutions
    • 7.17.4 Ignite Customer Experience Management Revenue (US$ Million) & (2020-2025)
    • 7.17.5 Ignite Recent Developments

8 Industry Chain Analysis

  • 8.1 Customer Experience Management Industrial Chain
  • 8.2 Customer Experience Management Upstream Analysis
    • 8.2.1 Key Raw Materials
    • 8.2.2 Raw Materials Key Suppliers
    • 8.2.3 Manufacturing Cost Structure
  • 8.3 Midstream Analysis
  • 8.4 Downstream Analysis (Customers Analysis)
  • 8.5 Sales Model and Sales Channels
    • 8.5.1 Customer Experience Management Sales Model
    • 8.5.2 Sales Channel
    • 8.5.3 Customer Experience Management Distributors

9 Research Findings and Conclusion

10 Appendix

  • 10.1 Research Methodology
    • 10.1.1 Methodology/Research Approach
      • 10.1.1.1 Research Programs/Design
      • 10.1.1.2 Market Size Estimation
      • 10.1.1.3 Market Breakdown and Data Triangulation
    • 10.1.2 Data Source
      • 10.1.2.1 Secondary Sources
      • 10.1.2.2 Primary Sources
  • 10.2 Author Details
  • 10.3 Disclaimer
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