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CallMiner CX Landscape Report

The intelligence gap holding back AI-powered customer automation

99% of CX organizations now use automation in customer interactions, but only 23% say they are highly automated and consistently optimized using CX insights. The 2026 CallMiner CX Landscape Report reveals how intelligence-led automation can help organizations turn CX data into better customer outcomes, continuously improve automated experiences and determine where human expertise delivers the greatest value.


State of the CX industry

CX Landscape methodology 2024

Research methodology

To develop the CX Landscape Report, CallMiner worked with Vanson Bourne to survey 700 senior decision makers from contact center and CX departments in the US, U.K. and Ireland, South Africa, France, and Germany. Respondents hailed from organizations that had a contact center with 100 or more employees across healthcare (public and private), financial services, technology, retail, and BPO sectors.

Automation adoption outpaces optimization

  • 99% of CX organizations have introduced automation in customer interactions, but only 23% are highly automated and consistently optimized using CX insights
  • 76% agree automation is implemented based on internal goals rather than customer needs

Organizations struggle to turn CX data into action

  • 68% say they do not utilize their CX data to their best advantage, up from 62% in 2025
  • Only 30% effectively use CX insights to improve automated interactions, while just 22% use them to decide which customer interactions should be automated

AI delivers value by augmenting human expertise

  • 85% use AI for at least one human agent use case, including real-time assistance, productivity, training and coaching
  • 99% believe AI improves human agents’ ability to perform their roles, including resolving issues faster, providing real-time guidance and handling more complex interactions