人工智能如何驱动制造业：从转型到价值创造的跃迁之旅

Artificial intelligence (AI) is reshaping everyfacet of manufacturing. From design toproduction, supply chains to sales, andworkforce management, AI is unlocking newefficiencies and enabling smarter, more agileoperations. It’s also powering sustainability,helping manufacturers minimize waste andoptimize energy use.The potential is vast, but so are the challenges. AIadoption remains fragmented and functionally driven.Many manufacturers are deploying AI in silos —production floors are embracing AI-driven automationand predictive maintenance, while back-officefunctions remain largely unintegrated and lackingautomation. This disjointed approach limits AI’s fullpotential, preventing the industry from achieving trueenterprise-wide transformation.The sector also presents a stark contrast inmaturity levels. Smart industrials are leadingForeword© 2025 Copyright owned by one or more of the KPMG International entities. KPMG International entities provide no services to clients. All rights reserved. the charge, embedding AI deeply into theiroperations. More traditional manufacturers are stillexperimenting with localized AI use cases, hesitantto commit to full-scale transformation. Meanwhile,agentic AI, the next frontier in intelligent tools, waitsin the wings.By enabling self-optimizing supply chains, autonomousproduction lines and real-time coordination acrossbusiness functions, agentic AI paves the way fora truly intelligent, end-to-end manufacturing model.But to fully realize its potential, manufacturers shouldmove beyond isolated AI implementations andembrace a connected, enterprise-wide approach.This report explores how manufacturing leaderscan leverage AI as a transformative force. Thefuture belongs to those who recognize that AI is nolonger just about automation. It’s about autonomy,intelligence, integration and a new more effectiveway of working. To unlock the full potential of AI, manufacturingcompanies should move beyond isolateduse cases and reimagine how intelligence isembedded across the enterprise. This meansaligning AI with strategic value streams, reshapingculture to embrace experimentation and agility,and designing for trust, transparency and scale.The real opportunity lies not just in smarteroperations, but in creating a more connected,adaptive and value-driven ecosystem.Jonathon GillGlobal Head of Industrial ManufacturingKPMG InternationalIntelligent manufacturing: A blueprint for creating value through AI-driven transformation |2 Contents02Foreword04Introduction0713Research findingsThe transformative role of agentic autonomous agents06At a glance© 2025 Copyright owned by one or more of the KPMG International entities. KPMG International entities provide no services to clients. All rights reserved. 192434364230 Building the intelligent manufacturing organizationThe first phase: Enabling manufacturing teams with AIThe third phase: Evolving your ecosystemKey considerationsKPMG: Guiding your AI transformation with experienceThe second phase: Embedding AI in the flow of workIntelligent manufacturing: A blueprint for creating value through AI-driven transformation |3 IntroductionFor industrial manufacturers, the FourthIndustrial Revolution (Industry 4.0)demands greater agility and real-timedecision-making. AI has become a necessityrather than an option, enabling predictivemaintenance, intelligent automation anddata-driven optimization. However, intelligentmanufacturing is about more than justadopting AI — it’s about transforming industrialecosystems to unlock AI’s immense value, driveoperational efficiency and resilience, and createnew competitive advantages.For production and supply chains, AI enables real-timedecision-making, predictive analytics and self-optimizing workflows.For example, AI can combine external and internal data points,such as client consumption patterns and global indices, to providea meaningful decision support system around cost optimization.Intelligent tools enhance demand forecasting, inventory managementand logistics, by identifying vulnerabilities quickly.In the workforce, AI and augmented reality help train employees onbest practices while automating routine tasks, supporting predictivemaintenance and enabling dynamic scheduling. Finally, in the backoffice, AI streamlines finance, procurement and HR functions —areas that remain largely under-digitized in traditional manufacturing.KPMG wanted to learn how industrial manufacturers are using AI toreduce costs and expand revenues. To understand this, we surveyed183 senior manufacturing AI leaders across eight countries. What wediscovered is that AI leaders in the sector recognize that embracingAI is no longer optional but a strategic necessity — 93 percentbelieve that organizations that fully integrate AI will gain a significantcompetitive edge over those that do not.© 2025 Copyright owned by one or more of the KPMG International entities. KPMG International entities provide no services to clients. All rights reserved. Intel