en.Wedoany.com Reported - KPMG released the "2026 Global Industrial Manufacturing Technology Report," based on survey data from 258 industrial manufacturing technology executives across 22 countries and regions. The report analyzes the current state of digital transformation, technology application pain points, investment returns, and future trends in global and Chinese manufacturing. The report points out that industrial manufacturing has become one of the fastest sectors for artificial intelligence implementation.
Core data from the report shows that 49% of industrial manufacturing enterprises already have mature AI application scenarios and are continuously generating commercial value, a proportion higher than the overall industry average. 68% of surveyed manufacturing enterprises expect to achieve large-scale AI deployment within the next 12 months. In terms of technology investment returns, 80% of enterprises recognize that technology investment continuously enhances investment value, with AI and intelligent technologies becoming the core driving force for revenue growth.
Insufficient data governance capability is seen as the biggest bottleneck for AI implementation. The report shows that 83% of enterprises believe they have established an AI data foundation, but 76% of surveyed executives consider unreliable data the primary risk, revealing a significant gap between the two. Chinese manufacturing enterprises generally face problems such as severe data silos and chaotic data standards, making the improvement of data governance capabilities key to intelligent transformation.
The synchronous iteration of talent capabilities has become a new industry trend. 89% of respondents believe that within five years, mastering and managing AI intelligent agents will become a core workplace skill. Enterprises are restructuring key performance indicators, operational models, and talent systems to adapt to the new model of human-machine collaboration.
The report indicates that leading Chinese manufacturing enterprises have already completed the digital transformation of single factories or single processes and are now moving towards a new stage of cross-factory, full-chain, and group-level intelligent upgrades. Technology investment is shifting from previous "cost consumption" to "deterministic returns." Enterprises are no longer pursuing technology stacking but are allocating resources around actual business outcomes, focusing on improving production efficiency.
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