고객 여정 분석 시장 보고서 : 컴포넌트, 터치포인트, 도입 형태, 조직 규모, 용도, 업종, 지역별(2026-2034년)

The global customer journey analytics market size reached USD 17.3 Billion in 2025. Looking forward, the market is expected to reach USD 56.5 Billion by 2034, exhibiting a growth rate (CAGR) of 13.65% during 2026-2034. The rising requirement for converting information into digital forms to support strategic decision-making, which, in turn, provides operational efficiency, is primarily bolstering the market.

CUSTOMER JOURNEY ANALYTICS MARKET ANALYSIS:

• Major Market Drivers: The growing amount of real-time data generated through connected devices and applications is one of the primary drivers bolstering the market. Moreover, the increasing requirement for improvising and enhancing virtual touchpoints is also acting as another significant growth-inducing factor.
• Key Market Trends: Continuous technological advancements, such as the rising integration of artificial intelligence (AI) for providing smart, convenient, and informed customer experiences, are among the emerging trends stimulating the market. Apart from this, the advent of Industry 4.0 will continue to stimulate the global market in the coming years.
• Competitive Landscape: Some of the prominent companies in the global market include Adobe Inc., Callminer, ContentSquare, Genesys, Glassbox, Microsoft Corporation, NiCE, Oracle Corporation, Quantum Metric, Inc., Salesforce Inc., Twilio Inc., and Woopra, Inc., among many others.
• Geographical Trends: North America exhibits a clear dominance in the market, owing to the inflating emphasis on personalized customer experiences. Additionally, the shifting preferences among individuals towards omnichannel analytics are also strengthening the regional market.
• Challenges and Opportunities: One of the main challenges hindering the market is integrating and analyzing data from various touchpoints to create a cohesive customer profile. However, the development of machine learning and advanced AI algorithms to unify and interpret disparate data sources for actionable insights is expected to fuel the market over the forecasted period.

CUSTOMER JOURNEY ANALYTICS MARKET TRENDS:

Adoption of AI

The rising number of technological advancements, including machine learning (ML) and artificial intelligence (AI), is revolutionizing customer journey analytics by enabling businesses to gain deeper insights and process vast amounts of data efficiently. For instance, in February 2024, Lufthansa collaborated with TD Reply to introduce an innovative customer insight hub that enables specialized large language models (LLM) to empower data-led strategies that refine the journey of individuals and ultimately optimize the customer experience. Additionally, AI-driven analytics can personalize interactions, predict customer behavior, enhance user experiences, etc., which is acting as another significant growth-inducing factor. For example, in June 2024, NetSpring launched product and customer journey analytics, which is powered by Snowflake. It is equipped with specialized systems that have their own siloed data stores, with copies of data disconnected from the central enterprise data warehouse. Similarly, in June 2024, Fullcast, the go-to-market platform, acquired Datajoin to unify customer journey analytics. Apart from this, in June 2024, Contentsquare introduced a new customer analytics platform that leverages AI-powered VoC to measure issues, verify feedback through replay sessions, prioritize enhancements, etc. Besides this, in March 2024, Cisco unveiled Cisco AI Assistant for Webex Contact Center to seek guidance and support to resolve issues quickly.

Increasing Omnichannel Integration

Consumers interact with brands across several channels, including in-store, mobile apps, online, and social media, which is one of the customer journey analytics market growth drivers. For example, in April 2024, Walmart expanded its omnichannel capabilities across its three segments, namely Walmart International, Walmart U.S., and Sam's Club. It offers individuals the opportunity to shop in both retail stores and through e-commerce so they can access what they need. Additionally, in June 2024, with FeatureMind's omnichannel expertise, Mouawad entered into the digital sphere in the Kingdom of Saudi Arabia, United Arab Emirates, and Qatar. Besides this, in February 2024, OneStock announced the availability of an innovative application specifically designed to effortlessly integrate OneStock's Order Management System (OMS) with the Shopify commerce platform. Omnichannel integration also ensures continuity and consistency across all touchpoints. Starbucks exemplifies this trend by incorporating its mobile app with in-store experiences, thereby allowing users to pay through the app, order ahead, and earn rewards seamlessly. This not only enhances customer convenience but also provides Starbucks with valuable data to optimize marketing strategies and improve service delivery.

Demand for Real-Time Analytics

The growing need for analyzing customer data in real-time is becoming increasingly important. For example, in May 2024, Genesys, one of the leaders in AI-powered experience orchestration, announced the availability of native journey management capabilities for the Genesys Cloud(TM) platform that aids organizations in ensuring every consumer interaction is continuously optimized in real-time. Moreover, the levels of understanding and control allow them to create more personalized end-to-end experiences. Apart from this, Uber adopts real-time data analytics to match supply with demand and ensure timely service delivery. Additionally, in March 2023, Adobe developed a novel analytics solution for product teams at its Adobe Summit conference in Las Vegas. It aims to give product teams access to key metrics in product lifecycles that have typically been siloed within numerous teams in an enterprise and had to be procured from data analyst teams. Besides this, the widespread focus among businesses on improving operational efficiency will continue to augment the market in the coming years. For instance, in June 2023, Qualtrics developed its Customer Journey Optimizer to spot issues that may result in unnecessary service costs or lost revenue.

GLOBAL CUSTOMER JOURNEY ANALYTICS INDUSTRY SEGMENTATION:

Breakup by Component:

• Solution
• Services

Among these, solution currently exhibit a clear dominance in the market

The escalating demand for advanced AI-driven analytics tools that leverage artificial intelligence and machine learning to process vast amounts of customer data is bolstering the segment's growth. For example, Salesforce's Einstein Analytics utilizes AI to offer predictive insights, helping businesses personalize marketing efforts and optimize customer interactions. Similarly, Adobe Experience Cloud integrates AI to analyze customer journeys across multiple touchpoints, enabling companies to create highly effective campaigns. These AI-driven solutions not only enhance the ability to understand and anticipate customer needs but also streamline operations by automating data analysis and providing real-time insights.

Breakup by Touchpoint:

• Web
• Social Media
• Mobile
• Email
• Branch and Store
• Call Center
• Others

Currently, email holds the largest market share

The dominance is attributed to the pervasive use of email as a primary communication channel in customer interactions. It provides businesses with a direct and personalized way to reach customers, thereby offering opportunities for targeted marketing, customer feedback collection, and service notifications. Companies leverage sophisticated analytics tools to track email engagement, including open rates, click-through rates, and conversion rates, which provide valuable insights into behavior and preferences of individuals. For instance, Amazon's extensive use of personalized email campaigns based on customer purchase history and browsing behavior demonstrates the effectiveness of this touchpoint in driving sales and customer engagement.

Breakup by Deployment:

• On-premises
• Cloud-based

On-premises holds the largest share in the market

On-premises customer journey analytics solutions offer businesses the ability to manage and analyze customer data within their IT infrastructure, providing greater control over data security and compliance. They are particularly beneficial for industries with stringent data privacy regulations, such as finance and healthcare. Moreover, a healthcare provider might utilize an on-premises solution to analyze patient interactions and improve service delivery while safeguarding patient health information (PHI) in accordance with HIPAA regulations. Companies like SAS and Adobe offer robust on-premises analytics platforms that enable businesses to gain deep insights into customer behavior, optimize marketing strategies, and enhance customer experiences while maintaining full control over their data. This approach allows businesses to meet specific needs and integrate seamlessly with existing IT systems, thereby providing a tailored and secure solution for managing customer journeys.

Breakup by Organization Size:

• Large Enterprises
• Small and Medium-sized Enterprises

As per the customer journey analytics market statistics, large enterprises need software to manage complex individual interactions across multiple channels. For example, global retail giants like Walmart use customer journey analytics to track and analyze millions of customer interactions, enhancing personalized marketing efforts and operational efficiency. On the other hand, SMEs use scalable and cost-effective analytics solutions to refine their strategies and enhance user engagement.

Breakup by Application:

• Customer Segmentation and Targeting
• Customer Behavioral Analysis
• Customer Churn Analysis
• Brand Management
• Campaign Management
• Product Management
• Others

Campaign management holds the largest market share

Campaign management plays a critical role in driving targeted marketing efforts and maximizing return on investment (ROI). It involves planning, executing, tracking, and analyzing marketing campaigns across various channels to engage customers and encourage desired actions. For example, a company like Coca-Cola uses customer journey analytics to analyze consumer engagement data from social media, email, and in-store interactions to create targeted promotional campaigns that resonate with specific audience segments. This level of precision in campaign management not only enhances experiences but also significantly boosts conversion rates and customer loyalty.

Breakup by Industry Vertical:

• BFSI
• IT and Telecommunications
• Retail and E-Commerce
• Healthcare
• Media and Entertainment
• Travel and hospitality
• Others

BFSI accounts for the biggest market share

In the BFSI sector, understanding and optimizing the customer journey is critical due to the complex and multi-faceted interactions customers have with financial institutions. For instance, a bank might use analytics to track a customer's journey from initial account setup to ongoing transactions and support requests, identifying opportunities to streamline processes and enhance user experience. Additionally, insurers can leverage customer journey analytics to personalize policy recommendations. Companies like JPMorgan Chase and Allianz utilize these insights to develop targeted marketing campaigns, optimize product offerings, and provide proactive customer support. The strategic application of customer journey analytics not only drives operational efficiency but also builds a deeper understanding of user expectations, ultimately leading to a more customer-centric approach in the BFSI industry.

Breakup by Region:

• North America
  • United States
  • Canada
• Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa

North America currently dominates the market

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

The market in North America is experiencing significant growth, driven by the region's advanced technological infrastructure and high adoption rates of digital transformation strategies among businesses. Apart from this, leading retailers like Walmart and Amazon use customer journey analytics to track and analyze customer interactions across online and offline channels. In the financial sector, banks, such as Bank of America, utilize these analytics to understand customer needs better, tailor financial products, and improve service through more personalized interactions. Additionally, the strong focus on customer satisfaction and the availability of advanced analytics solutions from companies like Salesforce, Adobe, and IBM further drive the market's growth. By providing actionable insights, they enable North American businesses to create more effective marketing campaigns, streamline operations, and build stronger, more personalized relationships with their customers.

COMPETITIVE LANDSCAPE:

The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major market companies have also been provided. Some of the key players in the market include:

• Adobe Inc.
• Callminer
• ContentSquare
• Genesys
• Glassbox
• Microsoft Corporation
• NiCE
• Oracle Corporation
• Quantum Metric, Inc.
• Salesforce Inc.
• Twilio Inc.
• Woopra, Inc.

KEY QUESTIONS ANSWERED IN THIS REPORT

1. What was the size of the global customer journey analytics market in 2025?

2. What is the expected growth rate of the global customer journey analytics market during 2026-2034?

3. What are the key factors driving the global customer journey analytics market?

4. What has been the impact of COVID-19 on the global customer journey analytics market?

5. What is the breakup of the global customer journey analytics market based on the component?

6. What is the breakup of the global customer journey analytics market based on the touchpoint?

7. What is the breakup of the global customer journey analytics market based on the deployment?

8. What is the breakup of the global customer journey analytics market based on application?

9. What is the breakup of the global customer journey analytics market based on the industry vertical?

10. What are the key regions in the global customer journey analytics market?

11. Who are the key players/companies in the global customer journey analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Customer Journey Analytics Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Component

• 6.1 Solution
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Services
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast

7 Market Breakup by Touchpoint

• 7.1 Web
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 Social Media
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast
• 7.3 Mobile
  • 7.3.1 Market Trends
  • 7.3.2 Market Forecast
• 7.4 Email
  • 7.4.1 Market Trends
  • 7.4.2 Market Forecast
• 7.5 Branch and Store
  • 7.5.1 Market Trends
  • 7.5.2 Market Forecast
• 7.6 Call Center
  • 7.6.1 Market Trends
  • 7.6.2 Market Forecast
• 7.7 Others
  • 7.7.1 Market Trends
  • 7.7.2 Market Forecast

8 Market Breakup by Deployment

• 8.1 On-premises
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Cloud-based
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast

9 Market Breakup by Organization Size

• 9.1 Large Enterprises
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Small and Medium-sized Enterprises
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast

10 Market Breakup by Application

• 10.1 Customer Segmentation and Targeting
  • 10.1.1 Market Trends
  • 10.1.2 Market Forecast
• 10.2 Customer Behavioral Analysis
  • 10.2.1 Market Trends
  • 10.2.2 Market Forecast
• 10.3 Customer Churn Analysis
  • 10.3.1 Market Trends
  • 10.3.2 Market Forecast
• 10.4 Brand Management
  • 10.4.1 Market Trends
  • 10.4.2 Market Forecast
• 10.5 Campaign Management
  • 10.5.1 Market Trends
  • 10.5.2 Market Forecast
• 10.6 Product Management
  • 10.6.1 Market Trends
  • 10.6.2 Market Forecast
• 10.7 Others
  • 10.7.1 Market Trends
  • 10.7.2 Market Forecast

11 Market Breakup by Industry Vertical

• 11.1 BFSI
  • 11.1.1 Market Trends
  • 11.1.2 Market Forecast
• 11.2 IT and Telecommunications
  • 11.2.1 Market Trends
  • 11.2.2 Market Forecast
• 11.3 Retail and E-Commerce
  • 11.3.1 Market Trends
  • 11.3.2 Market Forecast
• 11.4 Healthcare
  • 11.4.1 Market Trends
  • 11.4.2 Market Forecast
• 11.5 Media and Entertainment
  • 11.5.1 Market Trends
  • 11.5.2 Market Forecast
• 11.6 Travel and hospitality
  • 11.6.1 Market Trends
  • 11.6.2 Market Forecast
• 11.7 Others
  • 11.7.1 Market Trends
  • 11.7.2 Market Forecast

12 Market Breakup by Region

• 12.1 North America
  • 12.1.1 United States
    • 12.1.1.1 Market Trends
    • 12.1.1.2 Market Forecast
  • 12.1.2 Canada
    • 12.1.2.1 Market Trends
    • 12.1.2.2 Market Forecast
• 12.2 Asia-Pacific
  • 12.2.1 China
    • 12.2.1.1 Market Trends
    • 12.2.1.2 Market Forecast
  • 12.2.2 Japan
    • 12.2.2.1 Market Trends
    • 12.2.2.2 Market Forecast
  • 12.2.3 India
    • 12.2.3.1 Market Trends
    • 12.2.3.2 Market Forecast
  • 12.2.4 South Korea
    • 12.2.4.1 Market Trends
    • 12.2.4.2 Market Forecast
  • 12.2.5 Australia
    • 12.2.5.1 Market Trends
    • 12.2.5.2 Market Forecast
  • 12.2.6 Indonesia
    • 12.2.6.1 Market Trends
    • 12.2.6.2 Market Forecast
  • 12.2.7 Others
    • 12.2.7.1 Market Trends
    • 12.2.7.2 Market Forecast
• 12.3 Europe
  • 12.3.1 Germany
    • 12.3.1.1 Market Trends
    • 12.3.1.2 Market Forecast
  • 12.3.2 France
    • 12.3.2.1 Market Trends
    • 12.3.2.2 Market Forecast
  • 12.3.3 United Kingdom
    • 12.3.3.1 Market Trends
    • 12.3.3.2 Market Forecast
  • 12.3.4 Italy
    • 12.3.4.1 Market Trends
    • 12.3.4.2 Market Forecast
  • 12.3.5 Spain
    • 12.3.5.1 Market Trends
    • 12.3.5.2 Market Forecast
  • 12.3.6 Russia
    • 12.3.6.1 Market Trends
    • 12.3.6.2 Market Forecast
  • 12.3.7 Others
    • 12.3.7.1 Market Trends
    • 12.3.7.2 Market Forecast
• 12.4 Latin America
  • 12.4.1 Brazil
    • 12.4.1.1 Market Trends
    • 12.4.1.2 Market Forecast
  • 12.4.2 Mexico
    • 12.4.2.1 Market Trends
    • 12.4.2.2 Market Forecast
  • 12.4.3 Others
    • 12.4.3.1 Market Trends
    • 12.4.3.2 Market Forecast
• 12.5 Middle East and Africa
  • 12.5.1 Market Trends
  • 12.5.2 Market Breakup by Country
  • 12.5.3 Market Forecast

13 SWOT Analysis

• 13.1 Overview
• 13.2 Strengths
• 13.3 Weaknesses
• 13.4 Opportunities
• 13.5 Threats

14 Value Chain Analysis

15 Porters Five Forces Analysis

• 15.1 Overview
• 15.2 Bargaining Power of Buyers
• 15.3 Bargaining Power of Suppliers
• 15.4 Degree of Competition
• 15.5 Threat of New Entrants
• 15.6 Threat of Substitutes

16 Price Analysis

17 Competitive Landscape

• 17.1 Market Structure
• 17.2 Key Players
• 17.3 Profiles of Key Players
  • 17.3.1 Adobe Inc.
    • 17.3.1.1 Company Overview
    • 17.3.1.2 Product Portfolio
    • 17.3.1.3 Financials
    • 17.3.1.4 SWOT Analysis
  • 17.3.2 Callminer
    • 17.3.2.1 Company Overview
    • 17.3.2.2 Product Portfolio
  • 17.3.3 ContentSquare
    • 17.3.3.1 Company Overview
    • 17.3.3.2 Product Portfolio
    • 17.3.3.3 Financials
    • 17.3.3.4 SWOT Analysis
  • 17.3.4 Genesys
    • 17.3.4.1 Company Overview
    • 17.3.4.2 Product Portfolio
  • 17.3.5 Glassbox
    • 17.3.5.1 Company Overview
    • 17.3.5.2 Product Portfolio
    • 17.3.5.3 Financials
    • 17.3.5.4 SWOT Analysis
  • 17.3.6 Microsoft Corporation
    • 17.3.6.1 Company Overview
    • 17.3.6.2 Product Portfolio
    • 17.3.6.3 Financials
    • 17.3.6.4 SWOT Analysis
  • 17.3.7 NiCE
    • 17.3.7.1 Company Overview
    • 17.3.7.2 Product Portfolio
    • 17.3.7.3 Financials
    • 17.3.7.4 SWOT Analysis
  • 17.3.8 Oracle Corporation
    • 17.3.8.1 Company Overview
    • 17.3.8.2 Product Portfolio
    • 17.3.8.3 Financials
    • 17.3.8.4 SWOT Analysis
  • 17.3.9 Quantum Metric, Inc.
    • 17.3.9.1 Company Overview
    • 17.3.9.2 Product Portfolio
    • 17.3.9.3 Financials
    • 17.3.9.4 SWOT Analysis
  • 17.3.10 Salesforce Inc.
    • 17.3.10.1 Company Overview
    • 17.3.10.2 Product Portfolio
    • 17.3.10.3 Financials
    • 17.3.10.4 SWOT Analysis
  • 17.3.11 Twilio Inc.
    • 17.3.11.1 Company Overview
    • 17.3.11.2 Product Portfolio
    • 17.3.11.3 Financials
    • 17.3.11.4 SWOT Analysis
  • 17.3.12 Woopra, Inc.
    • 17.3.12.1 Company Overview
    • 17.3.12.2 Product Portfolio
    • 17.3.12.3 Financials
    • 17.3.12.4 SWOT Analysis