LONDON - s4story -- Information Matters Ltd today announced the release of its latest strategic analysis, "Agentic EDI: Market Opportunities and Market Forecasts 2024–2030," revealing a radical shift in the electronic data interchange (EDI) landscape. The report highlights how the emergence of autonomous AI agents is transforming traditional supply chain data exchange from a message-handling utility into an outcome-driven powerhouse.

Since its inception in the 1960s, EDI has been the backbone of global logistics. However, the report warns that the $40 billion sector now faces an "Innovator's Dilemma". Established providers must decide whether to embrace agentic AI—autonomous systems capable of making decisions with little human oversight—or risk becoming irrelevant to AI-native entrants.

Key Market Forecasts

The research models three distinct scenarios for the EDI market's evolution through 2030:

• Scenario 1 (Steady State): Incremental AI adoption leads to a market value of $69.5 billion.
• Scenario 2 (AI Disruption): New AI-native entrants erode the market share of incumbents, resulting in slower growth to $50.6 billion.
• Scenario 3 (AI Growth): Incumbents successfully integrate agentic AI to enhance offerings and lower costs, turbocharging the market to $95.4 billion.

The Rise of "Agentic EDI"

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The report identifies a new category, Agentic EDI, a hybrid of trusted legacy systems and autonomous AI. This shift is fueled by the rapid adoption of open protocols like the Model Context Protocol (MCP) and Agent2Agent (A2A).

"The quality of data inputs is the primary factor for success in the LLM era, and this is even more critical for agentic AI where agents make autonomous decisions," says the report. "EDI providers who leverage their deep enterprise relationships to build autonomous services could take a significant share of a category eventually worth hundreds of billions".

Areas of Highest Impact

The research notes that translation, mapping software, and managed services stand to gain—or lose—the most from AI disruption.

• Mapping: AI agents are already beginning to auto-generate mappings from samples and refine them based on failed transactions.
• Onboarding: "Onboarding agents" are projected to walk trading partners through testing and certification autonomously.
• Visibility: Platforms are evolving from mere observability to full autonomy, where "control tower agents" can rebook shipments or trigger disputes without human intervention.

For more information and to access the full report, visit https:///informationmatters.net/products/agentic-edi-report/

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