Speech Analytics 2.0: Market Map & Use Cases — by Call Center Doctors (CCDocs)
Speech Analytics 2.0” is the jump from post-call keyword mining to real-time, AI-assisted coaching with built-in compliance redaction and CRM-native reporting . Adoption is accelerating as contact center analytics spend grows through 2030, with speech/conversation intelligence one of the fastest-rising segments. Market map (how buyers should think about the stack) 1) Capture & Transcription Telephony/CCaaS + low-latency speech-to-text that feeds everything downstream. 2) Modeling Layer NLP/LLM engines that classify intents, risks, and opportunities, and generate summaries. 3) Compliance & Redaction Real-time/near-real-time scrubbing of payment data and sensitive PII from audio/text to meet PCI DSS and privacy duties. PCI Security Standards Council 4) QA & Workforce Engagement (WEM) Scorecards, calibration, coaching nudges, and agent e-learning in one loop (not separate tools). Calabrio 5) Revenue & Service Apps Playbooks for retention, collections, upsell, and se...