AdAI

AI Customer Service Statistics 2026

By AdAI Research Team | | 11 min read

AI is now handling the majority of routine customer service interactions. In 2025, 65% of support queries were resolved without human intervention, up from 52% just two years earlier. The AI customer service market is projected to reach $47.82 billion by 2030. This page compiles the most current statistics on AI customer service adoption, cost impact, resolution rates, and customer preferences.

Top AI Customer Service Statistics for 2026

$80B
projected contact center cost savings from AI by 2026
Source: Gartner
90%
of CX leaders report positive ROI from AI tools
Source: Zendesk, 2025
65%
of support queries resolved without human intervention
Source: NextPhone, 2025

Key Takeaways

  • The AI customer service market will grow from $12.06 billion (2024) to $47.82 billion by 2030 (MarketsandMarkets).
  • 90% of CX leaders report positive ROI from implementing AI tools (Zendesk).
  • AI chatbots can manage up to 80% of routine tasks and customer inquiries (Zendesk).
  • Conversational AI will reduce contact center labour costs by $80 billion by 2026 (Gartner).
  • 79% of support agents say an AI copilot supercharges their abilities (Zendesk).

Market Size and Growth

Metric Value Source
AI customer service market (2024)$12.06 billionMarketsandMarkets
Projected market (2030)$47.82 billionMarketsandMarkets
CAGR (2024-2030)25.8%MarketsandMarkets
Call center AI market (2025)$3.98 billionFullview
Projected contact center labour cost savings by 2026$80 billionGartner
AI automation annual savings for businesses$79 billionFullview

Adoption and Resolution Statistics

Statistic Value Source
CX leaders reporting positive ROI from AI90%Zendesk, 2025
Support queries resolved without human intervention (2025)65%NextPhone
Same metric (2023)52%NextPhone
Routine tasks AI chatbots can manageUp to 80%Zendesk
CX leaders expecting 80% AI resolution rate75%Zendesk, 2025
Increase in inquiries handled per hour with AI13.8%Nielsen Norman Group
Service agents to be replaced with generative AI by 202620-30%Gartner
CX leaders planning to expand AI use (next 12 months)65%PartnerHero / Crescendo

Cost Savings and ROI

Metric Value Source
Average ROI per $1 invested in AI customer service$3.50Fullview
Customer support cost reduction from chatbots30%IBM
Labour cost reduction potential from AIUp to 90%Dialzara
Routine response time reductionUp to 80%Invesp
NIB Health Insurance savings from AI assistants$22 millionNick Abrahams / Desk365
Lyft resolution time reduction with AI87%Desk365

For service businesses, the math is particularly clear. Home service companies miss 60-80% of incoming calls, and each missed call represents $200 to $2,000 in potential revenue (NextPhone). AI voice and chat systems that capture these missed interactions can pay for themselves within the first month.

Customer Preferences

Customer sentiment is split. On the technology side: 62% of consumers prefer chatbots over waiting for a human agent, 51% prefer bots for immediate service needs, and 83% rate chatbot experiences as acceptable or good (Zendesk, Tidio). Speed and availability are the primary drivers.

On the human side: 79% of Americans strongly prefer human interaction overall (SurveyMonkey, 2025). 46% prefer human support even when wait times are equal. 50% of consumers say they would cancel a service that is solely AI-driven (Kinsta, 2025). And 81% believe companies use AI primarily to save money, not to improve service.

The takeaway is consistent across all surveys: businesses that offer AI for speed and convenience while preserving easy escalation to human agents outperform those that choose one approach exclusively. 78% of consumers say the ability to switch from AI to human is important (Twilio, 2025).

“CX leaders must divert their focus from optimising for operational efficiency to managing how customer confidence rises or falls across the entire support journey.”

LTVplus Research Team, Customer Service Statistics Report — via LTVplus, 2025

Methodology

All statistics on this page are sourced from published reports by recognized research firms and technology companies. Sources include Zendesk, Gartner, MarketsandMarkets, IBM, SurveyMonkey, Salesforce, and others as cited. Data is verified against original publications. This page is updated quarterly. Last updated: February 2026.

Sources

  1. Zendesk. 59 AI Customer Service Statistics for 2026. Zendesk, January 2026.
  2. Gartner. Conversational AI Contact Center Labour Cost Forecast. Gartner, 2024.
  3. MarketsandMarkets. AI for Customer Service Market Report. MarketsandMarkets, 2024.
  4. Pylon. 50+ Customer Support Statistics and Trends for 2025. Pylon, 2025.
  5. SurveyMonkey. Customer Service Statistics 2026: Humans vs AI. SurveyMonkey, February 2026.
  6. Desk365. 61 AI Customer Service Statistics in 2026. Desk365, January 2026.
  7. NextPhone. 75 AI Customer Service Statistics 2026. NextPhone, January 2026.
  8. Fullview. 80+ AI Customer Service Statistics and Trends. Fullview, 2025.
  9. Crescendo. 10 Emerging AI Trends in Customer Service 2026. Crescendo, 2026.
  10. IBM. Customer Service Cost Reduction with AI. IBM, 2024.
  11. Kinsta. Consumer AI Preferences in Customer Service. Kinsta, 2025.
  12. Twilio. State of Customer Engagement Report 2025. Twilio, 2025.

Frequently Asked Questions

How much can AI save on customer service costs?
AI can reduce customer support costs by up to 30% (IBM). Gartner projects conversational AI will reduce contact center labour costs by $80 billion by 2026. Companies like NIB Health Insurance have saved $22 million through AI-driven digital assistants. The average ROI on AI customer service investment is $3.50 for every $1 spent.
What percentage of customer inquiries can AI handle?
65% of incoming support queries were resolved without human intervention in 2025, up from 52% in 2023. AI chatbots can manage up to 80% of routine tasks and inquiries. ServiceNow reports its AI agents handle 80% of customer support inquiries autonomously.
Do customers prefer AI or human customer service?
It depends on the situation. 62% of consumers prefer chatbots over waiting for a human, and 51% prefer bots when they want immediate service. However, 79% of Americans strongly prefer human interaction overall, and 46% prefer human support when there is no wait involved. The key is offering both options seamlessly.

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