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:
Mercedes-Benz Korea’s Semantic Layer Shows Why AI Needs Trusted Business Logic
June 13, 2026

Mercedes-Benz Korea’s Semantic Layer Shows Why AI Needs Trusted Business Logic

Mercedes-Benz Korea leverages Databricks Unity Catalog to build an AI-ready semantic layer that unifies 500+ KPI definitions across BI and AI tools, demonstrating how trusted business logic drives enterprise AI reliability....
Does the New MTEB Leaderboard Set a New Standard for Transparent AI Model Evaluation?
June 13, 2026

Does the New MTEB Leaderboard Set a New Standard for Transparent AI Model Evaluation?

Hugging Face launches an overhauled MTEB Leaderboard with significant speed improvements, granular filtering, and enhanced transparency. Enterprise AI leaders now have better tools to evaluate and compare foundation models beyond top-score chasing....
How Desktop AI Hubs Could Deflect Over 56.23 TWh of Industrial Data Center Load by 2035
June 12, 2026
Article
Article

How Desktop AI Hubs Could Deflect Over 56.23 TWh of Industrial Data Center Load by 2035

Olivier Blanchard and Brendan Burke, Research Directors at Futurum, share their insights on how high-performance small-form-factor desktop AI PCs such as the DGX Spark and Mac Mini could form the basis of...
Agentic Intelligence
June 12, 2026
Article
Article

Can Zoho SalesIQ’s Agentic Intelligence Redefine Empathetic Customer Engagement?

Zoho SalesIQ's Zia Agents deliver autonomous, empathetic customer engagement at scale through Agentic Intelligence, now supporting Anthropic, Google AI, DeepSeek, and custom LLMs....
Latest Research:
Data Gravity in the Age of AI Engineering the Mission-Critical Engine for Autonomous Workloads
June 11, 2026

Data Gravity in the Age of AI: Engineering the Mission-Critical Engine for Autonomous Workloads

In our latest report, Data Gravity in the Age of AI: Engineering the Mission-Critical Engine for Autonomous Workloads, completed in partnership with Oracle, Futurum Research explores why fragmented data architectures...
The Autonomous IT Imperative
June 2, 2026
Research
Research

The Autonomous IT Imperative

In our latest Market Report, The Autonomous IT Imperative, completed in partnership with Tanium, Futurum Research examines why traditional IT operations and security models are reaching their limits—and how Autonomous...
PC Pricing & Demand Under Pressure: How Consumers Will Actually Respond
May 21, 2026
Research
Research

PC Pricing & Demand Under Pressure: How Consumers Will Actually Respond

In this Market Study, Futurum Research examines how consumer PC buyers respond to rising prices and why most remain addressable through adjustments in timing, configuration, or channel....

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.