Key Takeaways
- 89% of customer experience (CX) leaders expect to use generative AI in their CX operations within the next 2 years
- 72% of organizations report using some form of customer data platform (CDP) today
- 86% of consumers say they would consider switching brands after a single bad customer service experience
- 37% of customers say they will abandon a website if it takes more than 3 seconds to load
- A 10-point increase in Net Promoter Score (NPS) is associated with a 2.5% increase in revenue growth
- 57% of consumers rate improving speed of service as one of the top priorities for customer experience improvements
- Companies that excel at customer experience grow revenues 4%–8% above their market
- On average, organizations spend $1.6 million per year managing customer experience operations and tools
- A reduction in call transfer rates by 10 percentage points can reduce average handling costs by roughly 6%
- 57% of organizations have customer experience (CX) as a top priority
- 73% of enterprises say they have an enterprise-wide customer experience strategy
- 78% of consumers say they want to use self-service options for common issues
- $1.1 trillion is the estimated global annual value of generative AI use cases across industries (including customer service), based on McKinsey’s 2023 assessment
Customer experience leaders are betting on generative AI, faster service, and unified, first call resolution to drive loyalty and revenue.
Related reading
- Customer Experience In IndustryCustomer Experience In The Software Industry Statistics
- Customer Experience In IndustryCustomer Experience In The Commercial Industry Statistics
- Customer Experience In IndustryCustomer Experience In The Streaming Industry Statistics
- Customer Experience In IndustryCustomer Loyalty Statistics
01 · Category
Industry Trends4 stats
Industry Trends Interpretation
02 · Category
Performance Metrics7 stats
Performance Metrics Interpretation
03 · Category
Cost Analysis4 stats
Cost Analysis Interpretation
More related reading
04 · Category
User Adoption7 stats
User Adoption Interpretation
05 · Category
Market Size1 stats
Market Size 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.
Helena Kowalczyk. (2026, February 13). Customer Experience In The Define Industry Statistics. Gitnux. https://gitnux.org/customer-experience-in-the-define-industry-statistics
Helena Kowalczyk. "Customer Experience In The Define Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/customer-experience-in-the-define-industry-statistics.
Helena Kowalczyk. 2026. "Customer Experience In The Define Industry Statistics." Gitnux. https://gitnux.org/customer-experience-in-the-define-industry-statistics.
Sources & references
23 datasets cited across this report · attribution is report-level
+11 additional datasets cited (not shown individually)

