Customer Experience Management Market (By Deployment: Cloud, On-premise; By Touch Point Type: Store, Call centers, Social media platforms, Email, Mobile, Web services, Others; By Analytical Tool: EFM software, Speech analytics, Text analytics, Web analytics, Others; By End-Use: Construction/Real estate, IT & Telecom, BFSI, Healthcare, Manufacturing, Service business, Government, Retail, Others) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032

The global customer experience management market size was exhibited at USD 11.9 billion in 2022 and is projected to hit around USD 51.64 billion by 2032, growing at a CAGR of 15.81% during the forecast period 2023 to 2032.

Key Pointers:

  • North America region captured more than 44.8% of the global market in 2022.
  • By Deployment, the on-premise segment generated more than 60.9% of the revenue share in 2022.
  • By End-use, the retail segment captured for the highest market share of 25.11% of revenue share in 2022.
  • By Touch point type, the call center segment generated for the maximum market share in 2022.
  • By Analytical tool, the text analytical tool segment recorded 41.9% of revenue share in 2022.

Customer Experience Management Market Report Scope

Report Coverage

Details

Market Size in 2023

USD 13.78 Billion

Market Size by 2032

USD 51.64 Billion

Growth Rate From 2023 to 2032

CAGR of 15.81%

Base Year

2022

Forecast Period

2023 to 2032

Segments Covered

By Deployment, By Touch Point Type, By Analytical Tool, and By End-Use

Market Analysis (Terms Used)

Value (US$ Million/Billion) or (Volume/Units)

Regional Scope

North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa

Key Companies Profiled

Adobe, Fresh works Inc, SAP SE, SAS Institute Inc, Serive Management Group, Tech Mahindra Limited, Verint, Clarabridge, GeneSys, Zendesk, International Business Machine Corporation and Others.

 

The market growth can be attributed to the mounting importance of understanding customer behavior and their preferences, which drives various brands and organizations to implement customer experience strategies, such as regularly communicating and engaging with customers, developing a long-term programme, and utilizing automation, to provide the best service performance to customers in real-time. 

The COVID-19 pandemic is likely to influence businesses significantly, suppressing profitability, stifling innovation, and drying up cash flows and financial reserves. The increasing use of digital technology tools is likely to set the pace for digital transformation and digital optimization in both existing and new businesses. These developments are expected to increase the use of cloud technology and work collaboration tools, thereby assisting customer experience management (CEM) market growth.

The market is expected to witness an increasing share of work delivered through digital engagement models based on collaboration platforms and tools. The rapid proliferation of smart technologies, such as Machine Learning (ML), Artificial Intelligence (AI), and Internet of Things (IoT), among others has declined the cost of computing and storage power. For instance, automakers are using AI and analytics to understand what people do in their cars and also help automakers to provide maintenance services within vehicle sensors that can tell when a customer needs any type of service. This development would further drive the growth of the customer experience management market during the forecast period.

The continued digital transformation across various industries is prompting industry incumbents to replace the existing array of a myriad of solutions required to create, manage, and enhance the digital presence with a unified solution that can serve all purposes. The Digital Transformation Initiative of the World Economic Forum expects platform-driven interactions to be accounting for almost 2/3rd of the USD 100 trillion digitalization economy by 2025. As such, the continued integration of Artificial Intelligence (AI) and Machine Learning (ML) into CEM solutions is expected to drive the growth of the customer experience management market.

Understanding customer behavior is essential for businesses of all sizes. Given that the general public frequently spends quality time on various social networking platforms, such as Twitter, Facebook, Pinterest, LinkedIn, and Snapchat, among others, organizations have recognized that social networking platforms can provide a great opportunity to gauge changes in customer behavior and the way customers interpret information about products or services. Social Customer Relationship Management (CRM) can particularly assist businesses at this stage in positively engaging customers and increasing brand awareness. These developments would further drive the growth of the customer experience management market during the forecast period.

Supply chain disruptions and the implementation of new regulations would also have a significant impact on CEM market growth. However, as more people turn to the internet for online shopping, the business-to-consumer market is expanding rapidly. Healthcare and information technology and telecommunications are likely to see growth opportunities. As the demand for medicinal products and medicines has grown exponentially, effective and efficient change management has become increasingly important in the life sciences industry. The strong push for learning and development supported by AR/VR for remote training and demonstration for both employees and customers, as well as AR/VR-led remote troubleshooting for the energy & utility, retail, and telecom industries, would result in an improved customer experience, reduced time-to-serve, and reduced costs.

Some of the prominent players in the Customer Experience Management Market include:

  • Adobe
  • Fresh works Inc
  • SAP SE
  • SAS Institute Inc.
  • Serive Management Group
  • Tech Mahindra Limited
  • Verint
  • Clarabridge
  • GeneSys
  • Zendesk
  • International Business Machine Corporation

Segments Covered in the Report

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the global Customer Experience Management market.

By Deployment

  • Cloud
  • On-premise

By Touch Point Type

  • Store
  • Call centers
  • Social media platforms
  • Email
  • Mobile
  • Web services
  • Others

By Analytical Tool

  • EFM software
  • Speech analytics
  • Text analytics
  • Web analytics
  • Others

By End-Use

  • Construction/Real estate
  • IT & Telecom
  • BFSI
  • Healthcare
  • Manufacturing
  • Service business
  • Government
  • Retail
  • Others

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa (MEA)

Frequently Asked Questions

The global customer experience management market size was exhibited at USD 11.9 billion in 2022 and is projected to hit around USD 51.64 billion by 2032

The global customer experience management market will registered growth rate of 15.81% between 2023 and 2032.

The major players operating in the customer experience management market are Adobe, Fresh works Inc, SAP SE, SAS Institute Inc, Serive Management Group, Tech Mahindra Limited, Verint, Clarabridge, GeneSys, Zendesk, International Business Machine Corporation and Others.

North America region will lead the global customer experience management market during the forecast period 2023 to 2032. Report Code:2781 Category:ICT No. of Pages:150+ Format:PDF/PPT/Excel Published:April 2023 PROCEED TO BUY Single User License USD 4900 Multi User License USD 7900 Corporate License USD 9900 ASK FOR SAMPLE No cookie-cutter, only authentic analysis – take the 1st step to become an Precedence Research client

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Customer Experience Management Market 

5.1. COVID-19 Landscape: Customer Experience Management Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Customer Experience Management Market, By Deployment

8.1. Customer Experience Management Market, by Deployment, 2023-2032

8.1.1. Cloud

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. On-premise

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Customer Experience Management Market, By Touch Point Type

9.1. Customer Experience Management Market, by Touch Point Type, 2023-2032

9.1.1. Store

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Call centers

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Social media platforms

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Email

9.1.4.1. Market Revenue and Forecast (2020-2032)

9.1.5. Mobile

9.1.5.1. Market Revenue and Forecast (2020-2032)

9.1.6. Web services

9.1.6.1. Market Revenue and Forecast (2020-2032)

9.1.7. Others

9.1.7.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Customer Experience Management Market, By Analytical Tool 

10.1. Customer Experience Management Market, by Analytical Tool, 2023-2032

10.1.1. EFM software

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Speech analytics

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Text analytics

10.1.3.1. Market Revenue and Forecast (2020-2032)

10.1.4. Web analytics

10.1.4.1. Market Revenue and Forecast (2020-2032)

10.1.5. Others

10.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Customer Experience Management Market, By End-Use 

11.1. Customer Experience Management Market, by End-Use, 2023-2032

11.1.1. Construction/Real estate

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. IT & Telecom

11.1.2.1. Market Revenue and Forecast (2020-2032)

11.1.3. BFSI

11.1.3.1. Market Revenue and Forecast (2020-2032)

11.1.4. Healthcare

11.1.4.1. Market Revenue and Forecast (2020-2032)

11.1.5. Manufacturing

11.1.5.1. Market Revenue and Forecast (2020-2032)

11.1.6. Service business

11.1.6.1. Market Revenue and Forecast (2020-2032)

11.1.7. Government

11.1.7.1. Market Revenue and Forecast (2020-2032)

11.1.8. Retail

11.1.8.1. Market Revenue and Forecast (2020-2032)

11.1.9. Others

11.1.9.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Customer Experience Management Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.1.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.1.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.1.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.1.5.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.1.5.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.1.5.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.1.6.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.1.6.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.1.6.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.2.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.2.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.2.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.2.5.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.2.5.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.2.5.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.2.6.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.2.6.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.2.6.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.2.7.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.2.7.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.2.7.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.2.8.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.2.8.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.2.8.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.3.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.3.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.3.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.3.5.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.3.5.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.3.5.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.3.6.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.3.6.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.3.6.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.3.7.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.3.7.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.3.7.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.3.8.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.3.8.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.3.8.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.4.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.4.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.4.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.4.5.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.4.5.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.4.5.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.4.6.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.4.6.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.4.6.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.4.7.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.4.7.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.4.7.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.4.8.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.4.8.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.4.8.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.5.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.5.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.5.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.5.5.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.5.5.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.5.5.4. Market Revenue and Forecast, by End-Use (2020-2032)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Deployment (2020-2032)

12.5.6.2. Market Revenue and Forecast, by Touch Point Type (2020-2032)

12.5.6.3. Market Revenue and Forecast, by Analytical Tool (2020-2032)

12.5.6.4. Market Revenue and Forecast, by End-Use (2020-2032)

Chapter 13. Company Profiles

13.1. Adobe

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Fresh works Inc

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. SAP SE

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. SAP SE

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. SAS Institute Inc.

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Serive Management Group

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Tech Mahindra Limited

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Verint

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Clarabridge

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. GeneSys

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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