Customer Service Automation Statistics for 2026
Public benchmarks on AI adoption, productivity, self-service, and automation outlooks in support operations.
Customer service automation benchmarks: AI productivity gains, self-service maturity, and investment intent. Sources include Salesforce, NBER, Intercom, Gartner, ContactBabel, and IBM.
Key findings
Statistics table
All statistics at a glance
| Statistic | Source | Year |
|---|---|---|
| More than 90% of organizations using AI report time and cost savings. | Salesforce | 2025 |
| 79% of service leaders say investing in AI agents is essential to stay competitive. | Salesforce | 2025 |
| 87% of service decision-makers say AI helps them serve customers better. | Salesforce | 2025 |
| 83% of service decision-makers plan to increase investment in automation over the next year. | Salesforce | 2025 |
| 82% of service professionals agree customer expectations are higher than they used to be. | Salesforce | 2025 |
| 61% of customers prefer self-service for simple issues. | Salesforce | 2024 |
| 80% of high-performing service organizations provide self-service solutions, compared with 56% of underperformers. | Salesforce | 2025 |
| Service teams using AI agents expect service costs and resolution times to decrease by an average of 20%. | Salesforce | 2025 |
| Salesforce reports that 30% of service cases were resolved by AI in 2025. | Salesforce | 2025 |
| Salesforce expects 50% of service cases to be resolved by AI in 2027. | Salesforce | 2025 |
| Generative AI increased the number of issues resolved per hour by 13.8% in the NBER study of customer support agents. | NBER | 2023 |
| The same NBER study found productivity gains of 35% for the least-skilled and least-experienced workers. | NBER | 2023 |
| 88% of service decision-makers say conversational AI accelerates case resolution times. | Salesforce | 2025 |
| 87% of service decision-makers say AI frees representatives to handle more complex issues. | Salesforce | 2025 |
| Intercom says Resolution Bot resolves 33% of the queries it gets involved in. | Intercom | 2022 |
| Intercom also reports a 44% improvement in response time from Resolution Bot use. | Intercom | 2022 |
| 65% of teams with AI report more opportunities to focus on developing customer relationships. | Salesforce | 2025 |
| 68% of contact centers rank AI in their top five investment priorities. | ContactBabel | 2025 |
| 81% of field service workers believe AI agents help them work more efficiently. | Salesforce | 2025 |
| Gartner says that by 2028, at least 70% of customers will use conversational AI to start their customer service journey. | Gartner | 2025 |
| IBM cites a Gartner forecast that by 2029, agentic AI and conversational AI chatbots will autonomously resolve 80% of common customer service issues. | IBM / Gartner | 2025 |
Investment & Adoption
Customer Impact
Agent Productivity
Future Outlook
Methodology
Frequently asked questions
Are companies actually seeing ROI from support automation?
Yes, at least in the public Salesforce data. Salesforce reports that more than 90% of organizations using AI see time and cost savings, and 87% of service decision-makers say AI helps them serve customers better.
What is the best public evidence that AI improves agent productivity?
The strongest independent evidence comes from the NBER study of customer support agents, which found a 13.8% increase in issues resolved per hour and even larger gains for less-skilled workers.
How much work can automation actually take off the queue today?
The best directly stated public vendor benchmark retained here is Intercoms claim that Resolution Bot resolves 33% of the queries it gets involved in and improves response time by 44%.
How important is self-service in automation programs?
It is central. Salesforce reports that 61% of customers prefer self-service for simple issues and that high-performing service organizations are much more likely to provide self-service options.
What does the next few years look like for support automation?
Public forecasts show continued expansion. Gartner says at least 70% of customers will start service journeys with conversational AI by 2028, and IBM cites a Gartner forecast of 80% autonomous resolution for common issues by 2029.
Data limitations
- Automation containment rates vary widely by industry and ticket complexity.
- Cost-savings figures often exclude implementation, maintenance, and governance time.
- Many sources are vendor research; cross-reference with independent analyst data when possible.