数据价值解锁 - 2026年脉搏调查报告

Data Dividend for Manufacturers Foreword Unlocking the Value of Data in Manufacturing::A New Era of Smart Operations convert data into measurable value is becoming a primarysource of competitive advantage. As smart manufacturingaccelerates, organizations are moving beyond digitizingoperations to rethinking business models; developing data-driven products and services supported by disciplined datamonetization strategies and partner ecosystems.This Pulse Survey Report, “Unlocking the Power ofmanufacturing programs and the development of digitalproducts. Priorities such as operational efficiency and overallequipment effectiveness (OEE) are mutually reinforcing andare underpinning continued investment in digital innovation;investments increasingly tied to revenue growth and long-term resilience.The report outlines practical considerations for establishing Senior VP & Sector HeadEnergy, Manufacturing & ResourcesWipro Limited Data,” presents insights from 100 senior manufacturingexecutives on how leading organizations are using datato improve operational performance, focus investments,and address persistent barriers. It also highlights thetechnologies being adopted, the strategic priorities shapingexecutive agendas, and the differentiators that separatemature data-driven organizations from the rest.a clear data monetization strategy and building collaborativepartner ecosystems to capture the full value of smartmanufacturing and digital products. We hope these findingshelp guide your programs and accelerate progress acrossyour transformation journey. Supply Chain & Operations ConsultingWipro Limited Smart Manufacturing:Efficiency, Flexibility, and Resilience Data as the Engine of Operational Excellence Smart manufacturing focuses on using production,operations, and equipment data to improve internal KPIssuch as quality, uptime, and throughput. But leaders are goingfurther, using data to anticipate change and build resilience. frameworks that unify IT and OT systems—laying thegroundwork for the data-driven, Industry 4.0-ready enterprise.Real-world applications of data-driven technologies—from predictive maintenance to AI-powered quality control andsupply chain optimization—are enabling:•Operational Excellence:reducing downtime, improvingImprovement of Production Line Flexibility* throughput, and cutting the cost of quality.•Innovation:enabling faster product development andflexible production lines.Improvement of Operational Resilience* chains, and operational environments- resilient and flexible operationshave become paramount and havesurpassed the criticality of efficiencyand cost optimization.”Amit Kumar, Managing Partner & Core Objectives Quality enhancement (75%) and overall equipmenteffectiveness (68%) remain the top operational priorities across manufacturers. Butleaders are not stoppingat efficiency—they are simultaneously emphasizingflexibility and resilience, which are essential to respondingto disruptions and maintaining long-term operationalexcellence. They are also recognizing the role that flexibilityand resilience play in ensuring consistency and in deliveringquality and efficiency in a sustainable way.Improvement of Production Line Flexibility*Improvement of Operational Resilience* Global Head, Wipro Consulting Improvements Across Time HorizonsManufacturers expect steady performance gains, but leaders are moving with far greater urgency—especiallyaround flexibility and resilience. line flexibility and 67% in resilience, yet leaderssurge ahead with expectations of 77% and 76%respectively.•Midterm:Throughput yield (70%) and flexibility (76%)improve further, with leaders again outperformingthese averages.•Long-term:Resilience (83%), sustainability (82%),and quality (70%) remain key areas of investment.Almost 94% of the leading manufacturers are expecting improvements in flexibility. Technologies Driving Resilience Analytical and visualization models (71%) and traditional AI/ML (60%) are the mostextensively used technologies today, according to the chart below.But the leadingmanufacturers are moving well beyond these foundational tools.They arecombiningadvanced technologies such asdigital twins, AR/VR, and blockchainwith analytics and AI tostrengthen adaptability, improve predictability, and enable more autonomous operations.65%75%71%Analytical AndVisualization Models Adoption Rates of Key TechnologiesDifferentiating Leaders from Others outcomes is a key differentiator between leaders and others.65%56%60%AI/ML (TraditionalEstablished Approaches)71%Analytical And65%75%71%Analytical AndVisualization Models Use Cases and Maturity Signals Most manufacturers apply data across well-establisheduse cases such asefficiency (86%), monitoring (77%),andautomation (77%). These are essential but largelyfoundational applications. This marks a clear step up in maturity:while others focuson observing and reacting to data, leaders are using data topredict, experiment, and shape decisions in ad