January 1, 2026 — 2025 AI review: the agentic year in 5 figures
The year 2025 marked a turning point in the history of artificial intelligence. Beyond ever more capable language models, it is agentic AI — systems capable of acting autonomously — that truly exploded. Here are the 5 figures that sum up this pivotal year and what they mean for your company in 2026.
What it changes for you
✦ The opportunity
The five key statistics of 2025 reveal an unprecedented acceleration. Each one represents a concrete opportunity for the French SMBs and mid-market companies that want to take the AI turn:
Discover the strategic implications of each figure:
$184 billion — The global AI market
The global AI market reached 184 billion dollars in 2025, up 38% year on year (IDC). This growth translates into an increasingly rich, accessible and competitive offering of tools. For an SMB, it means falling prices and increasingly mature turnkey solutions.
72% — Share of AI projects including agents
According to McKinsey, 72% of new enterprise AI projects in 2025 included an agentic component. Passive chatbots are giving way to agents capable of carrying out complete tasks: processing an order, following up with a customer, generating a report.
34% — AI adoption rate in French SMBs
The Bpifrance barometer reveals that 34% of French SMBs had integrated AI into at least one process by the end of 2025, compared with 18% at the end of 2024. The progress is strong, but the gap behind Germany (52%) and the United States (61%) remains significant. The gap represents both a competitive risk and an opportunity for rapid catch-up.
⚠ The risk
The digital divide is widening
Companies that have not yet started experimenting with AI risk facing competitors 30 to 40% more productive within 18 months. The cost of falling behind is no longer hypothetical: according to Boston Consulting Group, companies that adopted AI in 2024-2025 show on average 23% more operating margin than their peers.
European regulation as a safeguard
The European AI Act enters into force progressively in 2026. Companies deploying AI agents will have to document their use cases, assess risks and ensure algorithmic transparency. Building in these requirements from the start avoids retroactive compliance costs estimated at 50,000-200,000 euros for a mid-market company.
Our recommendation
To turn these trends into a concrete advantage, here is our roadmap for the first half of 2026:
Audit your high-AI-potential processes (January)
Identify the 3 to 5 most time-consuming and repetitive processes in your company. For each, assess the time spent, the associated cost and the automation potential. Prioritize the use cases where agentic AI can act autonomously on well-defined tasks.
Launch a first AI agent as a pilot (February-March)
Choose the most promising use case and deploy an AI agent in pilot mode with 5 to 10 users. Measure the time savings, the quality of results and team satisfaction. Budget to plan: 3,000 to 8,000 euros for an 8-week pilot.
Industrialize and train (April-June)
Based on the pilot results, deploy the AI agent to the entire team concerned. Train staff and put in place an AI governance framework compliant with the AI Act. Define the monitoring KPIs and plan the next use cases.
In summary
Frequently asked questions
What exactly is agentic AI?
Agentic AI refers to AI systems capable of acting autonomously to achieve a goal. Unlike a chatbot that answers a question, an AI agent can plan a sequence of actions, use tools (browse the web, query a database, send an email) and adapt based on the results obtained.
Are French SMBs behind on AI adoption?
According to the Bpifrance barometer, 34% of French SMBs were using AI at the end of 2025, compared with 52% in Germany and 61% in the United States. The gap is real but bridgeable: the tools are more accessible and cheaper than 18 months ago. The challenge is less technological than cultural and organizational.
Should you invest in agentic AI now or wait?
The technology is mature enough for well-defined use cases: automation of repetitive processes, monitoring, level-1 customer service. We recommend starting a pilot in the first quarter of 2026 rather than waiting for a hypothetical full maturity of the market.
For technical profiles
Agentic AI frameworks in 2025
Multi-agent orchestration
Open source framework from LangChain for designing agent workflows with state management, decision loops and custom tools. The most mature in production. 45,000 GitHub stars at the end of 2025.
Teams of collaborative agents
Framework for creating teams of specialized agents that collaborate to achieve a complex goal. Ideal for monitoring, research and multi-step content generation workflows.
Pricing
Quick comparison
| Criterion | LangGraph | CrewAI | AutoGen |
|---|---|---|---|
| Production maturity | High | Medium | Medium |
| Ease of getting started | Medium | Easy | Medium |
| Flexibility | Very high | Good | High |
| Community | 45k stars | 38k stars | 30k stars |