Key Takeaways
- 62% of executives say their organizations use AI to improve customer experience (Gartner AI in Customer Service survey results reported by Gartner press release).
- 65% of organizations say they need better integration across data sources to improve customer experiences, indicating integration as a key CX blocker
- In 2023, 60% of contact center leaders reported their top priority is improving CX through better customer data (survey result), connecting data to CX performance
- 6.5% year-over-year growth in the global customer experience (CX) software market from 2023 to 2024 to $8.7B (2024 estimate), reflecting continued investment in CX tooling
- 37.9% CAGR projected for the customer experience management market from 2024 to 2029, indicating rapid expected category expansion
- The contact center software market is forecast to grow from about $30.8B in 2023 to about $49.1B by 2030, reflecting ongoing CX/support platform investments
- 73% of customers expect companies to use the information they already have about them to personalize experiences (global survey), indicating adoption of personalization
- 56% of customers say they prefer to solve issues without interacting with a human (self-service preference), supporting adoption of automation
- 56% of customers say using a chatbot is frustrating and makes them want to contact a human instead, indicating friction in AI/self-service journeys
- Moody’s Analytics found that improving customer experience can reduce churn and increase revenue, with measured impact varying by segment (2020–2023 internal benchmarking referenced publicly)
- A 2021 peer-reviewed study reported that service quality (including responsiveness) had a statistically significant positive effect on customer satisfaction and loyalty
- In a large-scale field study, faster response time in service interactions was associated with higher satisfaction ratings (academic findings reported with measured response-time effects)
- $3.19 million average total cost of a data breach for organizations overall (2023), relevant because CX operations rely on secure identity and customer data
Organizations are rapidly investing in AI, omnichannel tools, and data integration to deliver faster, more personalized CX.
Related reading
- Customer Experience In IndustryCustomer Experience In The Software Industry Statistics
- Customer Experience In IndustryCustomer Experience In The Life Sciences Industry Statistics
- Customer Experience In IndustryCustomer Experience In The Big Data Industry Statistics
- Customer Experience In IndustryCustomer Experience In The Real Estate Industry Statistics
01 · Category
Industry Trends7 stats
Industry Trends Interpretation
02 · Category
Market Size12 stats
Market Size Interpretation
03 · Category
User Adoption3 stats
User Adoption Interpretation
More related reading
04 · Category
Performance Metrics7 stats
Performance Metrics Interpretation
05 · Category
Cost Analysis1 stats
Cost Analysis Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Priya Chandrasekaran. (2026, February 13). Customer Experience Industry Statistics. Gitnux. https://gitnux.org/customer-experience-industry-statistics
Priya Chandrasekaran. "Customer Experience Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/customer-experience-industry-statistics.
Priya Chandrasekaran. 2026. "Customer Experience Industry Statistics." Gitnux. https://gitnux.org/customer-experience-industry-statistics.
Sources & references
30 datasets cited across this report · attribution is report-level
+12 additional datasets cited (not shown individually)

