Gartner Predicts That By 2026, 75% of Customers Will Call Customer Service and Support Due to Loneliness

Gartner Unveils Top Predictions for Customer Service and Support Leaders in 2022 and Beyond

By 2026, 75% of customers who call customer service and support organizations will do so out of loneliness, not because they have a customer service issue, according to Gartner, Inc. This will affect service and support leaders’ priority of migrating customers to self-service and ensuring rep well-being.

“Lonely customers looking to fulfill their interpersonal needs through service organizations are unlikely to use self-service to resolve their issues, regardless of how well-designed the functionality is,” said Emily Potosky, senior research principal in the Gartner Customer Service & Support practice. “To ensure they are not investing in suboptimal solutions, leaders must account for customer loneliness when attempting to diagnose why customers are still choosing assisted-service channels over self-service.”

Gartner research shows this trend will also impact customer service reps. For example, reps may experience longer handle times as a result of customers trying to socialize, impacting organizations’ coaching and performance management efforts. Additionally, dealing with emotional customers is challenging and could lead to reduced rep well-being.

“Service and support leaders have long discussed the importance of emotional intelligence in the role and the need for reps to display soft skills,” said Potosky. “However, it will be difficult for reps to understand where to draw the line, and leaders may even see increased attrition from service reps who are already stretched thin from the normal emotional effort they must perform when resolving issues for customers.”

Gartner predicts that by 2024 the top cited reason customer service reps leave the service organization will be the unofficial emotional effort they need to perform with customers outside their official job duties. Service and support leaders looking to mitigate the effect of lonely customers should consider the following:

  • Use speech analytics and sentiment analysis to identify customers who are calling because they are lonely.
  • Coach reps on how to identify customers who are using the service interaction for emotional support and socialization rather than true issue resolution.
  • Protect reps and their relationships with customers by empowering reps to empathetically exit conversations with these customers.
  • For extreme circumstances, ensure reps have the necessary mental health or suicide prevention resources to get customers to appropriate support.
  • Ensure the analysis of self-service failure points includes this trend; these customers will be difficult to migrate to self-service.

Gartner for Customer Service & Support Leaders can learn more about this prediction as well as others in the report “Predicts 2022: Customer Service and Support Strategy and Leadership.”

About Gartner for Customer Service & Support Leaders

The customer service and support function is vital to maintaining customer loyalty and influencing brand perceptions. Gartner for Customer Service & Support Leaders provides indispensable insights, advice and tools needed to achieve service and support leaders’ mission-critical priorities, specifically improving the customer experience while managing costs. Gartner’s research, advice and best practices equip customer service and support leaders to design an optimal service channel strategy; measure and reduce customer effort; and hire, develop and retain high-potential frontline talent.

Contacts

Gloria Omale
Gartner
[email protected]


About Gartner

Gartner, Inc. (NYSE: IT) delivers actionable, objective insight to executives and their teams. Our expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s most critical priorities. To learn more, visit gartner.com.

Author Information

As a detail-oriented researcher, Sherril is expert at discovering, gathering and compiling industry and market data to create clear, actionable market and competitive intelligence. With deep experience in market analysis and segmentation she is a consummate collaborator with strong communication skills adept at supporting and forming relationships with cross-functional teams in all levels of organizations.

Sherril holds a Master of Business Administration in Marketing from University of Colorado, Boulder and a Bachelor of Arts in Psychology from Rutgers University.

Latest Insights:
Will Edison International’s Board Refresh Accelerate Its AI and Digital Ambitions?
April 25, 2026

Will Edison International’s Board Refresh Accelerate Its AI and Digital Ambitions?

Edison International appoints M. Susan Hardwick as independent director, strengthening the utility's leadership as it confronts mounting pressure to modernize operations and leverage AI-driven infrastructure solutions....
Will GPT-5.5 Redefine Enterprise AI, or Hit the Limits of Trust and Control?
April 25, 2026

Will GPT-5.5 Redefine Enterprise AI, or Hit the Limits of Trust and Control?

OpenAI's GPT-5.5 launches as a transformative enterprise AI platform, yet adoption barriers around trust, reliability, and data privacy remain critical concerns for 78% of organizations planning AI budget increases....
GPT-5.5 Raises the Stakes: Can OpenAI Maintain Its Lead as Enterprise AI Matures?
April 25, 2026

GPT-5.5 Raises the Stakes: Can OpenAI Maintain Its Lead as Enterprise AI Matures?

OpenAI's GPT-5.5 launch marks a critical moment in enterprise AI adoption. With 68% of organizations at advanced GenAI stages, competition from Microsoft and Google intensifies as buyers prioritize reliability and business value....
Can IBM's RITS Platform and vLLM Reset the Bar for Enterprise AI Access?
April 25, 2026

Can IBM’s RITS Platform and vLLM Reset the Bar for Enterprise AI Access?

IBM Research's RITS Platform uses vLLM to centralize large language model access across enterprise teams, signaling a shift toward scalable, governed AI infrastructure that balances innovation, cost, and control....
Latest Research:
Closing the AI Confidence Gap: Cloud-Native Security as a Key to Agentic AI Adoption
April 23, 2026

Closing the AI Confidence Gap: Cloud-Native Security as a Key to Agentic AI Adoption

In our latest market report, Closing the AI Confidence Gap: Cloud-Native Security as a Key to Agentic AI Adoption, completed in partnership with Google Cloud, Futurum Research explores how enterprises...
Gemini Enterprise: Governing and Scaling the Agentic Enterprise
April 23, 2026

Gemini Enterprise: Governing and Scaling the Agentic Enterprise

In our latest market report, Gemini Enterprise: Governing and Scaling the Agentic Enterprise, completed in partnership with Google Cloud, Futurum Research examines the operational, governance, and lifecycle requirements for scaling...
Data Fitness for AI-Driven Operations
April 20, 2026
Research
Research

Data Fitness for AI-Driven Operations

In our latest market brief, Data Fitness for AI-Driven Operations, completed in partnership with NETSCOUT, Futurum Research explores why observability alone is insufficient as AI moves toward autonomous execution, and...

Book a Demo

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.