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艾意凯咨询:2026前瞻:艾意凯年度战略重点展望报告(英文版)(19页).pdf

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1、SPECIAL REPORTLook Forward 2026 L.E.K.s annual perspectives on the strategic priorities for the year aheadLook Forward 2026:Strategic Priorities for Creating Value LOOK FORWARD 2026|FOREWORD2L.E.K.Consulting3L.E.K.ConsultingLOOK FORWARD 2026|FOREWORD Uneven momentum and disruption marked 2025 forcin

2、g leadership teams to focus on resilience and near-term value.Many started the year expecting steadier conditions,only to face shifting policy,changing capital availability and unpredictable demand.Those that performed best managed costs tightly while continuing to invest in capabilities that suppor

3、t agility and delivery at scale.At the start of 2026,the operating environment remains demanding.Conditions differ by market and regulation is moving in different directions.Capital is being deployed more selectively,reshaping growth plans and making consolidation more targeted.At the same time,slow

4、er volume growth and cost inflation are elevating pricing from a tactical lever to a central driver ofvalue creation.Technology is sharpening these differences.Advances in automation,data and generative AI are widening the gap between organisations that embed them into core operations and those that

5、 stop at pilots or licences.Boardroom attention is moving from experimentation to delivery,with operating models designed to scale productivity gains and improve decision quality.Value creation is also being redefined.With deal volumes below prior peaks and timelines extending,both corporates and in

6、vestors are extracting more from existing assets.Efficiency and resilience programmes are now strategic levers,judged by clear impact on EBITDA and cash.Organisational clarity is increasingly decisive,while sustainability expectations are moving from intent to proof,with greater scrutiny on cost,res

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1. **核心挑战**:2026年企业面临需求谨慎、成本通胀、资本选择性部署及监管差异等压力,需通过定价、生产力和数字化执行创造价值。 2. **行业焦点**: - **消费**:聚焦定价策略、数据/AI应用及运营简化,以实现盈利增长。 - **金融**:平衡客户体验与生产力,通过AI提升顾问效率,优化全球本地化覆盖。 - **医疗**:利用AI改善临床与运营效率,整合数据以支持协调护理,应对资源压力。 - **工业**:强化资本配置与运营韧性,AI驱动资产优化,关注人才能力建设。 - **生命科学**:需证明药物价值、提升研发效率,适应复杂疗法与监管要求。 - **物流**:超越容量竞争,通过数据/AI提升收益与可靠性,应对电动车及自动驾驶变革。 3. **关键趋势**:技术(尤其是AI)从试点转向规模化应用,定价从战术工具升级为核心价值驱动,可持续发展从意图转向实际影响。
**如何提升利润?** **AI如何赋能业务?** **如何应对增长放缓?**
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