毕马威发布《2026年零售及消费品行业全球科技报告》,指出生成式AI快速融入消费者购物旅程,企业加大数字化技术预算投入,全球零售消费品行业加速智能化升级,数据安全与治理成为关键,近半数受访企业计划增加10%以上数据领域投入,边缘计算、Web3和数字孪生技术被列入未来12个月重要议程。
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毕马威发布《2026年零售及消费品行业全球科技报告》,基于对多个细分领域超过250位零售及消费品行业领导者的调研,聚焦全球及中国零售及消费品行业的转型现状,分析AI采用规模、数据治理和安全以及新兴技术采用情况。
中新网北京9月24日电 (记者 张素)近日发布的一份报告认为,生成式人工智能(AI)迅速融入消费者购物旅程,企业正加大对数字化技术的预算投入,全球零售消费品行业加速智能化升级。
《2026年零售及消费品行业全球科技报告》由毕马威发布,其调研数据来自多个细分领域的逾250位零售及消费品行业领导者。报告聚焦全球及中国零售及消费品行业的转型现状,剖析AI采用规模、数据治理和安全以及新兴技术的采用情况等,旨在为零售及消费品行业企业推进规模化AI应用、实现业务提升提供参考指引。
报告称,随着AI等新一代数字技术的发展及落地应用,零售及消费品行业企业正把握技术变革机遇,加大对技术的投资预算,推动AI深度嵌入系统运行逻辑,改造与“人、货、场”的动态建模,助力业务实现精细化运营,降本增效,规模化部署已成为未来企业技术叙事的必然趋势。
报告认为,在此过程中,数据安全与治理是技术精准有效落地的关键,要关注数据壁垒和网络安全风险对智能化转型所造成的影响,强化企业技术地基。
报告还认为,打造一个成熟的AI模型,企业需要正视当下存在的诸多障碍,包括决策过程缺乏透明度、响应或数据存在偏见,以及知识产权被盗用等。预计未来两年后,数据或响应存在偏见问题及深度伪造或合成内容将成为主要议题。
值得一提的是,调研数据表明,企业在数据领域的投资意愿高,近半数受访企业计划增加10%或以上的投入,略高于对AI的投资比例。
此外,从当前及未来技术的采用情况来看,现代交付模式(XaaS)是目前最为广泛部署的先进技术之一,有17%的受访者表示该技术已在企业中全面应用。从未来12个月的发展趋势来看,边缘计算、Web3(第三代互联网)和数字孪生技术均被列入企业技术发展的重要议程中。(完)
AI outlook — possibilities, not facts
未来两年后,数据或响应存在偏见问题及深度伪造或合成内容将成为零售行业主要议题
Likely · Within months
近半数受访企业将增加10%以上的数据领域投入
Likely · Within months

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