20+ AI Agents & Agentic AI Statistics (2025)

of organisations plan to integrate AI agents within the next 1–3 years

Capgemini surveyed 1,100 executives at $1B+ revenue companies. The intent to deploy autonomous agents spans every industry.

of companies use agentic AI at least moderately today — poised to rise sharply in two years

Deloitte surveyed 3,235 leaders across 24 countries. Agentic AI usage is expected to increase significantly within the next two years.

of executives are actively using AI agents in production workflows

Nearly half of executives have moved beyond experimentation to deploying agents in real-time operations.

of companies are already deploying AI solutions — with a growing interest in agentic capabilities

McKinsey found that companies deploying AI solutions are increasingly exploring frontier technologies like agents for autonomous workflows.

companies has a mature model for governance of autonomous AI agents

Despite surging adoption, oversight is lagging. Most organisations lack frameworks for monitoring and controlling autonomous agent behaviour.

of companies believe their strategy is highly prepared for AI adoption — up from prior year

Strategy confidence is rising, but companies feel less prepared on infrastructure, data, risk management, and talent readiness.

of organisations enforce a complete ban on public gen AI tools — virtually all now allow AI use

The shift from prohibition to governance is near-complete. Organisations are building guardrails rather than blocking AI entirely.

of companies say they are truly reimagining their business with AI — the rest use it at surface level

37% are redesigning key processes, while 30% are using AI at only a surface level. Agentic AI may accelerate the move to deeper transformation.

of organisations report that generative AI has improved productivity in their operations

AI agents amplify this by automating multi-step workflows end-to-end rather than just assisting individual tasks.

of organisations report positive ROI from AI within the first year of deployment

Agentic AI accelerates ROI by handling complete workflows autonomously — from customer inquiries to supply chain decisions.

average improvement in customer engagement and satisfaction from gen AI deployment

AI agents that handle customer interactions 24/7 drive measurable improvements in satisfaction and engagement scores.

of organisations report direct cost savings from AI deployment

Agents that autonomously handle processes deliver compounding cost savings as they eliminate manual handoffs.

of companies report at least limited use of physical AI today — set to reach 80% in two years

Physical AI includes robots, digital twins, and IoT-driven systems that operate autonomously with AI agents.

of organisations increased their generative AI investment since 2023

Investment growth is fuelling the transition from gen AI copilots to fully autonomous agents across enterprise workflows.

of large organisations have integrated gen AI into some or most functions — a 4× increase in 12 months

Up from 6% a year prior. Integrated gen AI provides the foundation on which autonomous agents are built.

rise in worker access to AI tools during 2025 alone — expanding the agent deployment surface

As more workers gain AI access, organisations are deploying agents that handle routine tasks so humans can focus on strategic work.

of companies expect to use physical AI within two years — with Asia Pacific leading

Physical AI — robots, autonomous logistics, digital twins — will extend agentic capabilities from software into the physical world.

of AI projects expected in production within six months — double the current rate

The number of companies with 40%+ of experiments in production is set to double, signalling a mass shift from pilots to deployment.

of interpreter and translator tasks can be replicated by AI — showcasing agent capability breadth

AI agents can now handle complex language tasks at near-human quality, enabling autonomous multilingual customer service and documentation.

decrease in AI inference costs — making always-on agents economically viable

Plummeting costs mean organisations can run AI agents continuously without prohibitive compute expenses.