AI Application Penetration in Chinese Manufacturing Reaches 34.2% in H1 2026, Integrated Informatization-Industrialization Level Hits 67.1

Core Event: Report Released at 2026 World Manufacturing Conference

On September 20, 2026, at the World Manufacturing Conference held in Hefei, Anhui Province, the National Industrial Security Development Research Center released the “Manufacturing Intelligence-Driven Transformation Capacity and Level (2026)” report. Key hard facts:

Release Date: September 20, 2026
Coverage Period: First half of 2026
Core Metrics: AI application penetration in manufacturing reached 34.2%, up 5.5 percentage points year-on-year; integrated informatization-industrialization development level hit 67.1
Publisher: National Industrial Security Development Research Center
Venue: 2026 World Manufacturing Conference

Digital Foundation: Cross-Sectional Penetration Exceeds 60%

The report indicates China’s manufacturing digital foundation continues to strengthen, with digital adoption reaching scale across key operational segments. Specifically, 86.3% of enterprises have digitized R&D design, 81.4% have digitized management operations, and 69.5% have digitized production manufacturing. This distribution shows front-end design and back-end management are largely digitized, while production manufacturing remains the main battleground for deepening applications.

On the networked front, nearly half of enterprises now engage in networked collaboration. New business models and patterns—including digital twins, chain-network collaboration, and smart production—are accelerating, signaling an industry-wide shift from isolated digital pilots to system-wide interconnection.

Intelligent Adoption: AI as a New Engine for Business Innovation

AI application deepening represents the standout highlight of the year. The report reveals 10.6% of large-scale manufacturing enterprises already leverage AI large models to empower business innovation. Though seemingly modest, this percentage reflects over 10% of industry backbone enterprises having entered deep AI application stages, forming a crucial示范(effect) for subsequent scalability.

Particularly notable, AI technology application penetration across key scenarios reached 34.2%, with an annual increase of 5.5 percentage points. Rotating the math (assuming 28.7% penetration in 2025), a 5.5-percentage-point rise within one year indicates AI adoption is rapidly transitioning from pilot exploration to batch replication. This growth rate significantly exceeds the prior three-year average, highlighting a key contradiction: accelerating AI adoption despite macroeconomic headwinds.

Practical Guidance: Strategic Responses for Enterprises at Different Stages

For manufacturing enterprises, digital-intelligent transformation is no longer a binary “whether to proceed” question but a “how to execute optimally” efficiency challenge:

Digitally Mature Enterprises (60%+ penetration): Prioritize exploring AI-additive scenarios, particularly fine-tuning and deploying large models aligned with specific business pain points, avoiding盲目 (blind) bandwagon effects
Production Digitization Laggards (69.5% = ~30.5% undigitized): Prioritize industrial internet and equipment connectivity to lay groundwork for future intelligent applications
Early-Stage Entities: Consider starting with management operations or R&D design—lower-entry-barrier segments with faster value realization—to build transformation confidence and capability

Final Words

Manufacturing intelligence-driven transformation has entered a stage of coordinated development across digitalization, networking, and intelligence, reflecting the systemic leap capability of Chinese manufacturing under the synergy of technological cycles and industrial policy.