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邓白氏:2026制造业脉搏调查报告:复杂时代下制造业领袖的供应链韧性构建之道(英文版)(13页).pdf

上传人: 1****1 编号:1091605 2026-01-28 13页 1.82MB

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1、Manufacturing Pulse SurveyRISK RESETHow manufacturing leaders are approaching supply chain resilience in an age of increasing complexity.The manufacturing sector is navigating a period of intense disruption,driven by digital transformation,increasingly complex supply chain risks,and regulatory uncer

2、tainty.Data is a key enabler for business improvement opportunities,both in production as well as third-party risk management(TPRM).This survey of 2,000 senior supply chain and procurement professionals across five key markets reveals that manufacturers are increasingly focused on resilience,automat

3、ion,and AI adoption but face persistent barriers to progress.We learn that regulatory changes such as tariffs and sanctions are now seen as structural challenges,not temporary hurdles.Meanwhile,supply chains are becoming more multi-tiered and globally dispersed,yet visibility beyond Tier 1 remains l

4、imited.Manufacturers are looking to transform their approach to key processes to mitigate these risks,increase efficiencies and corresponding production output,while also minimizing the cost of labor and resource input.However,data quality and integration issues are undermining innovation,with many

5、firms unable to make informed decisions or fully leverage AI.In response,manufacturers are prioritizing nearshoring,digital transformation,and strategic investments in data and automation.However,ethical sourcing and ESG remain underdeveloped areas of risk management,leaving firms exposed to reputat

6、ional and compliance threats.As companies look ahead to 2026,the challenges of today regulatory risk,supplier dependency,and poor data confidence are expected to persist.Investments in data and automation are no longer optional for manufacturers,they are essential to establishing transparency across

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1. **核心挑战**:33.4%制造商将关税和制裁视为最大供应链挑战,97%因供应链复杂性面临质量问题、交付延迟等问题。 2. **数据与AI困境**:仅36%企业能基于数据做决策,44%因数据质量差导致AI项目失败;51%数据孤岛,41% distrust数据。 3. **供应链趋势**:62%企业计划近岸外包,但仅8%将在12个月内实施;仅24%有现代奴役数据,ESG投资优先级低。 4. **2026年重点**:优先级为内部AI应用(1)、供应链韧性(2)、降本(3);主要担忧仍为监管变化、供应商依赖及AI影响。 5. **战略建议**:需加速数字化转型、提升多层级供应链可见性、嵌入ESG风险管理。
供应链韧性如何构建? 数据质量如何影响决策? 近岸外包是趋势吗?
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