In early June, IDC released the "China AI-Enhanced Enterprise ERP Market Share, 2025" report. Yonyou ranked first in the AI-ERP market, while also taking the top spot in enterprise application SaaS, finance, and supply chain. Media headlines all proclaimed "the rankings are set."
But if you only focus on the rankings, you miss what truly matters in this report.
If you read this report alongside a few messages from the past few days, you'll see a bigger shift: the underlying logic of ERP selection has changed, and AI is no longer a "bonus feature"—it's the entry ticket.
It's not AI "empowering" ERP, but AI redefining ERP
iResearch's 2025 data shows that over 60% of mid-sized manufacturing enterprises have incorporated AI capabilities into the core evaluation criteria for ERP selection. This proportion was just over 10% two years ago.
What happened? It's simple: the first batch of companies that used AI-ERP came out with real numbers, not proof of concepts.
8x improvement in Aier Eye Hospital's financial processing efficiency, with 100% accuracy. 34 days: A hardware company's raw material inventory turnover days reduced from 68 to 34 days, releasing approximately 2 million in working capital. 50% increase in Shuangliang Group's production plan execution accuracy, with a 45% improvement in supply chain efficiency.
These numbers weren't generated in a lab; they were extracted from the production line and financial system.
The case of Aier Eye Hospital is very typical—financial processing efficiency has increased by 8 times, with 100% accuracy, and month-end closing has been compressed from 5 working days to half a day. This is not some vague statement like "AI makes finance smarter"; it is a concrete reality of completing 5 days' worth of work in half a day without errors. Any CFO who sees these numbers will be unable to sit still.
The inventory turnover of hardware enterprises was cut from 68 days to 34 days, releasing 2 million yuan in working capital. For a medium-sized manufacturing enterprise, 2 million yuan in cash flow could mean the difference between life and death.
What the ERP Market Data Is Saying
IDC's data this time has several highlights:
First, Yonyou ranks first in all four categories simultaneously. AI-ERP, enterprise application SaaS, finance, and supply chain—all four have the highest market share. This is no coincidence. The market share of domestic Chinese ERP vendors in manufacturing has already exceeded 75%, and this advantage may further widen after AI integration. This is because AI scenarios in manufacturing (production scheduling, quality inspection, inventory forecasting) require a deep understanding of China's manufacturing business logic, which overseas vendors cannot quickly catch up on in the short term.
Second, the capability definition of ERP has changed. The IDC report has expanded the ERP capability framework from the traditional "process online" to four dimensions: automatic data aggregation and anomaly identification, intelligent scheduling, forward-looking prediction, and "function-finding-people" human-machine collaboration. In simple terms: previously, ERP was a "recording system" that logged what you did; now, AI-ERP is a "decision-making system" that tells you what might happen before you act.
Third, manufacturing is the main battlefield. Over 60% of medium-sized manufacturing enterprises have listed AI as a core dimension for ERP selection. This is not only because manufacturing is a pillar industry in China, but also because the manufacturing sector is most sensitive to efficiency—fluctuations in raw material prices, unreasonable production scheduling, and inventory backlogs all directly eat into profits.
On the other hand, the regulatory gates for AI are also moving
On June 2, U.S. President Trump signed an AI executive order requiring AI companies such as OpenAI, Google, and Anthropic to open a cybersecurity testing window of up to 30 days to the government before publicly releasing their latest models.
This is a major shift in the U.S. AI regulatory model—from "industry self-regulation" to "mandatory testing." Although it currently only covers the release phase of the latest models, the direction is clear: AI safety checks are transitioning from an "optional" choice for companies to a "mandatory requirement."
This signal is equally valid for enterprise users. When you are purchasing AI-ERP or deploying enterprise Agents, does the vendor have a complete security test report? Can the Agent's behavior be audited? These things may still be "bonus points" now, but according to this trend, they will become compliance requirements within one to two years.
China's regulatory approach prioritizes standards first, with three departments issuing the "Implementation Opinions on the Standardized Application and Innovative Development of Intelligent Agents," covering 19 typical scenarios and the country's first AI agent performance evaluation standard, following a "standards definition → scenario implementation" route. The U.S. regulatory approach emphasizes mandatory testing, with Trump's executive order requiring 30 days of safety testing before release, following a "test before release" route, shifting from "industry self-regulation" to "mandatory review."
What it means for enterprise CIOs
Based on IDC reports, enterprise implementation data, and regulatory developments, there are three things worth starting now:
First, the selection criteria need to be updated. If your company is currently evaluating ERP systems and the evaluation dimensions do not include "AI capability," or if it is still in the "bonus points" category, it needs to be moved to the "mandatory items." This is not about fearing falling behind, but about being afraid of choosing a system that cannot be upgraded in three years.
Second, look at implementation data, not vendor demos. Aier Eye Hospital's 8x efficiency improvement, hardware companies' 34-day inventory turnover—these third-party verified implementation data are far more useful than "AI one-click report generation" in vendor demos. When selecting, ask vendors to provide implementation cases and data from the same industry, rather than just showing you the feature interface.
Third, prioritize compliance in your timeline. Although Trump's executive order only targets model releases in the U.S. market, the signal it sends is global—AI security audits are becoming a hard regulatory requirement. Companies that start building an Agent governance system now may face compliance costs only one-third of those scrambling to catch up a year later. Microsoft's recently open-sourced ACS (Agent Control Specification) is a good starting point.
After IDC released this report, the rankings for AI-ERP have been established. But the real competition isn't in the report—it's about whether each company's financial system can close the books in half a day, whether 2 million yuan in working capital can be saved in the warehouse, and whether production scheduling on the assembly line can be 5% more accurate. These are what ERP buyers truly care about.
This article is compiled based on IDC's "China AI-Enhanced Enterprise ERP Market Share, 2025" (released in June 2026), Gartner's global enterprise software market share report, iResearch's 2025 data, publicly available enterprise cases, and reports on Trump's AI executive order on June 2, 2026.
