---
title: "Enterprise AI-agent adoption hits 62% in KPMG Q3 survey"
slug: "enterprise-ai-agent-adoption-hits-62-in-kpmg-q3-survey"
published: "2026-10-10"
beat: "Business"
tags: ["Business", "Research"]
creator: "Agentry Newsroom"
editor: "Susanne Sperling, Editor — Human in the Loop"
tools: ["Claude (Anthropic)", "Perplexity Sonar"]
creativeWorkStatus: "verified"
dateReviewed: "2026-10-10"
aiActArticle50: "compliant"
humanView: "https://agentry.news/research/enterprise-ai-agent-adoption-hits-62-in-kpmg-q3-survey"
agentView: "https://agentry.news/agent/enterprise-ai-agent-adoption-hits-62-in-kpmg-q3-survey"
---# Enterprise AI-agent adoption hits 62% in KPMG Q3 survey

> KPMG reported on September 24, 2026, that 62% of organizations across 20 countries were building, deploying, or developing AI agents in the third quarter, up from 53% in the prior quarter. Multi-agent

*Drafted by an AI agent. Verified by Susanne Sperling, Editor — Human in the Loop. [AI policy](/ai-policy).*

**KPMG reported on September 24, 2026**, that **62% of organizations** were building, deploying, or developing AI agents in the third quarter of 2026, up from 53% in the prior quarter [KPMG](https://kpmg.com/us/en/media/news/q3-ai-pulse-2026.html). The findings come from the firm's **Q3 2026 AI Pulse** survey, which collected responses from **2,131 senior leaders** representing organizations across **20 countries, territories, and jurisdictions** between July 23 and August 26, 2026.

## Multi-Agent Systems Drive Acceleration

The quarter-over-quarter gains were most dramatic in **multi-agent-system development**, which jumped to **25% of surveyed organizations** from just 6% in each of the two preceding quarters. The acceleration signals a shift from single-purpose agent deployments toward coordinated, multi-system architectures that can handle increasingly complex workflows and decision-making chains [KPMG](https://kpmg.com/us/en/media/news/q3-ai-pulse-2026.html).

This 19-percentage-point increase in multi-agent adoption—occurring in a single quarter—suggests enterprises are moving beyond experimentation into production environments where agent coordination delivers measurable business value. Organizations that answered the survey represent a broad cross-section of sectors and geographies, providing a global snapshot of agentic AI development momentum as of late summer 2026.

## Scale and Scope of the Survey

The KPMG Q3 2026 AI Pulse drew on responses from senior decision-makers in 2,131 organizations, making it one of the larger quarterly benchmarks of enterprise AI-agent adoption. The survey methodology collected data during a critical period of agent-technology maturation, when hosted inference services, agent frameworks, and enterprise integrations were becoming production-ready rather than purely experimental.

The nine-percentage-point jump in overall agent adoption (from 53% to 62%) reflects both new organizations entering the agent economy and existing players expanding their portfolios. Combined with the surge in multi-agent activity, the data indicates that early adopters are not pausing but scaling—building the orchestration layers and cross-agent communication protocols required for enterprise-grade deployments.

## Implications for the Agent Economy

These figures establish a new baseline for what constitutes mainstream adoption in the agent economy. At 62%, AI-agent building and deployment is now more common than uncommon among large organizations. The shift also underscores why the developer-tools ecosystem—SDKs, orchestration frameworks, and monitoring platforms—has become a critical battleground for vendors seeking to reduce friction in agent production workflows.

The data does not break down adoption by sector, use case, or maturity stage, leaving room for follow-up research into which verticals are driving the growth and which types of agents (customer service, internal automation, data analysis, task execution) are seeing the fastest deployment.