Agentic AI — Trend Intelligence Report

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Technology > AI > Enterprise Automation

Agentic AI

Vol. 500K+ · 2026-03-29 18:06

5 ans
+8,200% 		1 an
+340% 		3 mois
+45% 		Volume
500K+

── Chronologie ──

2023AutoGPT goes viral — first mainstream agentic AI demo
Early 2024OpenAI GPTs, Anthropic tool use, Google Gemini function calling launch
Mid 2025Claude Code, Cursor, Devin push agentic coding mainstream
Late 2025Enterprise adoption: 4 in 5 enterprises adopt AI agents in some form
Jan 2026Market hits $9.14B. 40% of enterprises scaling implementation
Mar 2026BCG sizes the opportunity at $200B for tech service providers

── Analyse PESTAL ──

Facteur Impact
Political EU AI Act requires human-in-the-loop for high-risk autonomous decisions. US policy remains industry-friendly
Economic $9.14B market in 2026 → $139B by 2034 (40.5% CAGR). BCG sizes serviceable opportunity at $200B. Enterprise ROI proven
Social Workforce anxiety around automation. But adoption data shows agents augment rather than replace — 50%+ of orgs deploy for multi-stage workflows
Technological MCP protocol standardizing agent-tool communication. Long-running agents, multi-agent coordination, and tool-use becoming reliable
Environmental Agent autonomy reduces repetitive human compute but increases GPU usage. Net effect unclear
Legal Liability for autonomous agent actions unsettled. Insurance products for AI agent errors emerging

── Jobs To Be Done ──

Automate multi-step business workflows end-to-end
AI agents handle cross-functional processes spanning multiple departments (16% of orgs already do this)
Reduce operational costs without adding headcount
Agents handle customer support, data processing, reporting — 24/7 at fraction of cost
Build software faster with fewer engineers
Agentic coding tools (Claude Code, Cursor, Copilot) write, test, and deploy code autonomously
Scale expertise across the organization
Knowledge agents query internal docs, CRMs, and databases to answer domain-specific questions
Monitor and respond to events in real-time
Autonomous monitoring agents watch dashboards, logs, and feeds — escalate or act without human intervention
Coordinate complex multi-party processes
Multi-agent systems where specialized agents collaborate (research, write, review, publish)

── Consumer Trend Canvas ──

Qui
CTOs, engineering leaders, DevOps teams, product managers, marketing operations, customer success teams 		Où
CLI tools (Claude Code), cloud platforms (Vertex, Azure), embedded in SaaS products, internal enterprise deployments
Pourquoi maintenant
Models crossed the reliability threshold for autonomous operation. MCP protocol standardized tool integration. Enterprise ROI data now proven at scale 		Comportement émergent
75% of enterprises want to work with service providers to build agentic solutions. Shift from ‘AI assistant’ to ‘AI colleague’ mental model
Besoin non satisfait
Agent governance and compliance frameworks, cost prediction for autonomous agents, inter-company agent communication standards, audit trails

── Positionnement marché ──

Anthropic (Claude)

34%

46%

OpenAI (GPT/Codex)

30%

22%

Google (Gemini)

18%

15%

Microsoft (Copilot)

12%

8%

Others

6%

5%

── Entreprises à surveiller ──

Anthropic
Claude Code + MCP protocol = dominant agentic developer platform. $14B ARR trajectory
OpenAI
GPT-4o + Codex agents + ChatGPT Plugins. Largest user base but facing developer satisfaction gap
Google DeepMind
Gemini agents + Vertex AI Agent Builder. Cloud distribution advantage with GCP enterprises
Microsoft
Copilot Studio + AutoGen framework. M365 integration gives enterprise moat
LangChain / CrewAI
Open-source agent orchestration frameworks. Strong developer community but no model lock-in

── Recommandations ──

1Service providers: BCG sizes the agentic AI services opportunity at $200B. Consulting, implementation, and managed agent services are the next gold rush
2Enterprise leaders: 40% of apps will embed agents by year-end (Gartner). Start with high-ROI workflows: customer support, code review, data pipeline management
3Developers: MCP protocol is the standard — build MCP servers for your domain. The agent ecosystem needs connectors, not more models
4Content creators: ‘Agentic AI’ search volume is 500K+ and growing 45% quarterly. Tutorials, use-case breakdowns, and vendor comparisons are high-value, low-competition content

Trend Signal par Hemle
Intelligence marché alimentée par l’IA — Claude Code + NotebookLM
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