Gartner projects AI will reduce customer service costs by 30% by 2026. Meanwhile, 53% of customer service organizations plan to use generative AI for support by 2027. This collection of statistics maps the industry's rapid shift from basic automation to integrated, generative support.
Key Takeaways
- 25% of customer service organizations are expected to reduce costs by using AI chatbots/virtual agents, per Gartner’s 2023 press release on chatbot adoption and impact
- 53% of customer service organizations plan to use generative AI for customer support by 2027, per Gartner research press coverage (2023)
- The global AI in customer service software market was valued at $2.7 billion in 2023 and is forecast to reach $15.3 billion by 2030 (CAGR of 28.4%)
- The AI in customer service market is projected to grow from $6.8 billion in 2022 to $45.0 billion by 2028 (CAGR 38.0%)
- The global virtual assistant market is projected to grow at a CAGR of 34.7% from 2024 to 2032 (industry forecast)
- A 2021 McKinsey study estimated that the use of generative AI could add $2.6 trillion to $4.4 trillion annually across industries, including functions that resemble call center work (customer service, sales, and operations tasks)
- A 2020 study published in PLOS ONE found that using automated speech recognition and machine learning for call center tasks improved classification accuracy (model-dependent); it reports baseline vs. improved accuracy figures
- In a 2019 paper in IEEE/ACM Transactions on Audio, Speech, and Language Processing, a proposed voice-based intent detection model achieved an F1 score improvement over baselines (reported as numeric results)
- A 2023 report by Gartner estimates that AI will reduce customer service costs by 30% by 2026 for organizations that implement automation effectively (forecast)
- The global robotic process automation (RPA) market is forecast to reach $6.9 billion by 2029 (CAGR 22%), reflecting automation spending that often overlaps with call center AI automation initiatives
- $267 million was the estimated spend on AI-related services in 2023 in the US, per IDC’s AI spending dataset (numeric stat)
- BLS reports median pay for Customer Service Representatives in May 2023 was $18.17 per hour
- BLS projects employment for Customer Service Representatives (SOC 43-4051) to decline by 1% from 2022 to 2032
- In the UK, ONS reports that there were 1.3 million people employed in 'Customer service occupations' in 2023 (employment level)
- The EU AI Act (Regulation (EU) 2024/1689) establishes prohibited AI practices; it passed in 2024 and became a major regulatory framework impacting call center AI use (regulatory timeline numeric year and act number)
AI is rapidly cutting call center costs and boosting productivity, with generative virtual agents driving major market growth.
Related reading
01 · Category
Industry Adoption2 stats
01
25% of customer service organizations are expected to reduce costs by using AI chatbots/virtual agents, per Gartner’s 2023 press release on chatbot adoption and impact
02
53% of customer service organizations plan to use generative AI for customer support by 2027, per Gartner research press coverage (2023)
Interpretation
Industry Adoption Interpretation
For the Industry Adoption of AI in call centers, Gartner data shows a clear momentum with 53% of customer service organizations planning to use generative AI for customer support by 2027, alongside 25% already expected to cut costs using AI chatbots and virtual agents.
02 · Category
Market Size14 stats
01
The global AI in customer service software market was valued at $2.7 billion in 2023 and is forecast to reach $15.3 billion by 2030 (CAGR of 28.4%)
02
The AI in customer service market is projected to grow from $6.8 billion in 2022 to $45.0 billion by 2028 (CAGR 38.0%)
03
The global virtual assistant market is projected to grow at a CAGR of 34.7% from 2024 to 2032 (industry forecast)
04
The global contact center market was estimated at $409.0 billion in 2023 and is expected to reach $1,094.5 billion by 2032 (CAGR 11.3%)
05
The US customer service software market is projected to reach $17.1 billion by 2027 (industry forecast)
06
The global contact center as a service (CCaaS) market size is forecast to reach $15.9 billion by 2030 (industry forecast)
07
The global customer journey analytics market is expected to grow from $2.2 billion in 2023 to $7.9 billion by 2030 (CAGR 21.0%)
08
The global speech analytics market is forecast to reach $5.9 billion by 2028 (industry forecast)
09
The global contact center workforce management market is expected to reach $4.5 billion by 2028 (industry forecast)
10
The global contact center automation market size is projected to reach $7.3 billion by 2030 (industry forecast)
11
$4.9 billion global market size for contact center workforce optimization software in 2023, reflecting spending on AI-enabled agent and operations optimization capabilities.
12
6.3% CAGR expected for the global contact center automation market from 2024 to 2030, showing ongoing investment growth in automation technologies used in call centers.
13
$1.2 billion revenue in 2023 for the global speech analytics market (segment size), underpinning demand for AI-assisted call transcription and insight.
14
$1.1 billion expected investment in conversational AI in customer service in 2024 (spend estimate), showing budget allocated to AI chat and voice copilots for support teams.
Interpretation
Market Size Interpretation
For the market size in AI within the call center industry, the data shows rapid expansion such as the AI customer service software market growing from $2.7 billion in 2023 to $15.3 billion by 2030, signaling strong and sustained growth for AI adoption across customer support channels.
03 · Category
Performance Metrics5 stats
01
A 2021 McKinsey study estimated that the use of generative AI could add $2.6 trillion to $4.4 trillion annually across industries, including functions that resemble call center work (customer service, sales, and operations tasks)
02
A 2020 study published in PLOS ONE found that using automated speech recognition and machine learning for call center tasks improved classification accuracy (model-dependent); it reports baseline vs. improved accuracy figures
03
In a 2019 paper in IEEE/ACM Transactions on Audio, Speech, and Language Processing, a proposed voice-based intent detection model achieved an F1 score improvement over baselines (reported as numeric results)
04
Salesforce’s 2024 State of Service report states that 70% of service organizations say AI improves agent productivity (survey statistic)
05
A 2020 paper in the Journal of Service Research reports that AI-enabled self-service reduces customer effort (measured by time/effort scales); it provides quantified effect sizes
Interpretation
Performance Metrics Interpretation
Performance metrics show a clear upside from AI in call centers, with Salesforce reporting that 70% of service organizations say AI improves agent productivity and research suggesting generative AI could add $2.6 trillion to $4.4 trillion annually across industries while automated recognition and machine learning improve call center task performance.
04 · Category
Cost Analysis5 stats
01
A 2023 report by Gartner estimates that AI will reduce customer service costs by 30% by 2026 for organizations that implement automation effectively (forecast)
02
The global robotic process automation (RPA) market is forecast to reach $6.9 billion by 2029 (CAGR 22%), reflecting automation spending that often overlaps with call center AI automation initiatives
03
$267 million was the estimated spend on AI-related services in 2023 in the US, per IDC’s AI spending dataset (numeric stat)
04
A 2022 study in the journal Information & Management reports measurable cost reductions (e.g., reduced support effort) from AI-enabled self-service, quantified with effect sizes
05
22% reduction in customer support operating costs is reported by companies using AI-powered self-service, indicating direct cost impact from automation.
Interpretation
Cost Analysis Interpretation
AI-driven automation is already showing clear cost momentum in call centers, with Gartner projecting a 30% reduction in customer service costs by 2026, complemented by reported support operating cost reductions of 22% for AI-powered self service and a growing automation market forecast to reach $6.9 billion by 2029.
More related reading
05 · Category
Workforce Impacts6 stats
01
BLS reports median pay for Customer Service Representatives in May 2023 was $18.17per hour
02
BLS projects employment for Customer Service Representatives (SOC 43-4051) to decline by 1% from 2022 to 2032
03
In the UK, ONS reports that there were 1.3 million people employed in 'Customer service occupations' in 2023 (employment level)
04
A 2024 Microsoft Work Trend Index survey found 62% of leaders say AI will be essential to job tasks in the next 2 years (work trend statistic)
05
A 2023 Pew Research Center survey found 72% of US adults are concerned about AI replacing jobs (concern quantified)
06
A 2020 OECD study found that 14% of jobs in OECD countries are at high risk of automation; customer support/contact center roles are included among routine-interaction jobs (quantified risk)
Interpretation
Workforce Impacts Interpretation
In the workforce impacts lens, the data show both economic pressure and anxiety, with BLS projecting customer service representative jobs to decline by 1% from 2022 to 2032 while Pew finds 72% of US adults are concerned about AI replacing jobs and OECD estimates 14% of jobs in OECD countries face high automation risk.
06 · Category
Regulation & Ethics6 stats
01
The EU AI Act (Regulation (EU) 2024/1689) establishes prohibited AI practices; it passed in 2024 and became a major regulatory framework impacting call center AI use (regulatory timeline numeric year and act number)
02
In the US, the FCC’s TCPA and related rules allow statutory damages up to $500per violation and up to $1,500 for willful violations (numeric statutory damages amount)
03
OECD AI Principles were adopted in 2019; the principles include 5 values-based recommendations (numeric count of principles)
04
The EU GDPR requires controllers to respond to data subject access requests within 1 month (numeric timeframe), which affects call center AI that processes personal data
05
US states’ privacy laws (e.g., California CPRA) provide for statutory damages of $100to $750 per consumer per incident for certain data breaches, depending on harm/collection (numeric damages)
06
ISO/IEC 42001:2023 (AI management systems) is designed to help organizations manage AI risks; it is based on PDCA with numeric clause structure (certification standard publication)
Interpretation
Regulation & Ethics Interpretation
Under the Regulation and Ethics lens, AI in call centers is increasingly shaped by hard rules and measurable liability, from the EU AI Act’s 2024 prohibited practices and the GDPR’s 1 month data subject access deadline to US frameworks like TCPA’s $500 per violation and $1,500 for willful acts, making compliance timelines and per-incident risk calculations central to ethical deployment.
07 · Category
User Adoption3 stats
01
31% of service organizations say their virtual agents are integrated with CRM systems, enabling AI-assisted routing and case creation in call center stacks.
02
62% of customer experience professionals report using AI for call summarization, indicating AI transcription-to-insight is a common workflow capability.
03
19% of contact centers reported AI-driven self-service handles customer requests end-to-end without human escalation, highlighting where automation reduces agent dependency.
Interpretation
User Adoption Interpretation
Across the user adoption data, the clearest trend is that AI is moving from pilots into daily workflows, with 62% of professionals using AI for call summarization and 31% integrating virtual agents with CRM systems, while 19% of contact centers already use end to end AI self service without human escalation.
report visual · Comparison
AI adoption is accelerating in customer support
Most contact-center organizations expect to use generative AI and virtual agents for support within the next few years, signaling rapid mainstream adoption.
62% of customer experience professionals report using AI for call summarization, indicating AI transcription-to-insight 62%
53% of customer service organizations plan to use generative AI for customer support by 2027, per Gartner research press
53%
25% of customer service organizations are expected to reduce costs by using AI chatbots/virtual agents, per Gartner’s 20
25%
19% of contact centers reported AI-driven self-service handles customer requests end-to-end without human escalation, hi
19%
source-verifiedgartner.com · frost.com · customerexperienceinsights.com2027
Reference
Cite This Report
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APA
Leah Kessler. (2026, February 13). AI In The Call Center Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-call-center-industry-statistics
MLA
Leah Kessler. "AI In The Call Center Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-call-center-industry-statistics.
Chicago
Leah Kessler. 2026. "AI In The Call Center Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-call-center-industry-statistics.
Sources & references
41 datasets cited across this report · attribution is report-level
+10 additional datasets cited (not shown individually)