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IBM Study: AI Spending Expected to Surge 52% Beyond IT Budgets as Retail Brands Embrace Enterprise-Wide Innovation

IBM Study: AI Spending Expected to Surge 52% Beyond IT Budgets as Retail Brands Embrace Enterprise-Wide Innovation

IBM研究:随着零售品牌采用全企业创新,人工智能支出预计将超出IT预算52%激增
IBM Corp ·  01/07 13:00

NEW YORK, Jan. 7, 2025 /PRNewswire/ -- A new global study from the IBM (NYSE: IBM) Institute for Business Value found that surveyed retail and consumer product executives are dramatically shifting their focus toward artificial intelligence (AI), with responses indicating that participants project spending outside of traditional IT operations could surge by 52% in the next year. The report, titled "Embedding AI in Your Brand's DNA," reveals how brands are preparing for the next phase of AI-driven transformation across the enterprise.

纽约,2025年1月7日 / PRNewswire / -- IBM(纽交所:IBM)商业价值研究所的一项全球新研究发现,被调查的零售和消费品高管正在显著转向人工智能(AI),参与者的回应表明,在接下来的年份中,传统IT运营之外的支出预计将激增52%。报告标题为《将人工智能融入品牌DNA》,揭示了品牌如何为企业中的下一阶段人工智能驱动变革做好准备。

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By 2025, retail and consumer products companies surveyed say they plan to allocate an average of 3.32% of their revenue to AI—equivalent to $33.2 million annually for a $1 billion company. This investment is set to span functions such as customer service, supply chain operations, talent acquisition, and marketing innovation, highlighting AI's expansion beyond traditional IT applications. Key findings include:

到2025年,被调查的零售和消费品公司表示,他们计划将营业收入的平均3.32%分配给人工智能——这相当于一家10亿美元公司每年3320万美元的投入。该投资将涵盖客户服务、供应链运营、人才招聘和市场营销创新等职能,凸显人工智能在传统IT应用之外的扩展。关键发现包括:

  • Rapid Adoption Across the Enterprise: The report found that 81% of surveyed executives and 96% of their team are already using AI to a moderate or significant extent. Executives indicate they want to expand AI usage to more sophisticated use cases, such as integrated business planning where they plan to increase usage by 82% in 2025.
  • Workforce Transformation: Executives surveyed expect that 31% of employees will need to learn new skills to work with AI in the next year, increasing to 45% within three years. AI use in customer service, particularly for personalized responses and follow-ups, could grow by 236% in the next 12 months when compared to the prior year based on survey responses. Notably, responses indicate that 55% of these improvements are expected to involve human-AI collaboration, while only 30% would be fully automated—highlighting the need to equip employees for seamless AI integration.
  • AI Ecosystem Platforms: Investment in ecosystem platforms—tools that facilitate exchange of data and AI models—could skyrocket. Respondants indicated they expect growth from 52% today to 89% within three years as their companies look to blend AI capabilities with business and technology partners to accelerate innovation and drive efficiencies.
  • AI Governance Gap: Despite 87% of surveyed executives claiming to have clear AI governance frameworks, fewer than 25% have fully implemented and continuously review tools to manage risks like bias, transparency, and security. This reveals a critical gap in operational oversight.
  • 企业快速采用:报告发现,81%的被调查高管和96%的团队已经在适度或显著程度上使用人工智能。高管们表示,他们希望将人工智能的使用扩展到更复杂的用例,例如集成业务规划,并计划在2025年将使用率提高82%。
  • 劳动力转型:被调查的高管预计,31%的员工将在明年需要学习新技能以使用人工智能,这一比例在三年内将增至45%。在客户服务中,人工智能的使用,特别是用于个性化回复和后续跟进的方式,预计在未来12个月内将比前一年增长236%。值得注意的是,回应显示,55%的这些改进预计将涉及人机合作,而只有30%将是完全自动化的,强调了需要为员工提供无缝人工智能集成的培训。
  • AI生态系统平台:对生态系统平台的投资——促进数据和AI模型交换的工具——可能会激增。受访者表示,他们预计未来三年内增长将从今天的52%增加到89%,因为他们的公司希望将AI能力与业务和科技合作伙伴结合,以加速创新并提高效率。
  • AI治理差距:尽管87%的受访高管声称拥有清晰的AI治理框架,但不到25%的人已完全实施并持续审查工具,以管理诸如偏见、透明度和安防-半导体等风险。这揭示了运营监督中的关键差距。

"AI is no longer just a tool; it's a strategic imperative," said Dee Waddell, Global Industry Leader, Consumer, Travel & Transportation Industries at IBM. "Retail and consumer product companies are at a tipping point where embedding AI across their operations can help define not just productivity gains, but the future of brand relevance, engagement and trust."

“AI不再仅仅是一个工具;它已成为战略必要,”全球行业领导者、消费、旅行与运输行业的Dee Waddell说。 “零售和消费品公司正处于一个临界点,在这个临界点上,将AI嵌入其运营可以帮助定义不仅是生产力的提升,还包括品牌的相关性、参与度和信任的未来。”

The report emphasizes that successful brands can evolve from viewing AI as merely a productivity booster to positioning it as a core driver of enterprise innovation. Achieving this transformation will require rethinking traditional governance and reskilling strategies. Retailers should tailor AI initiatives to align with their brand priorities and collaborate with strategic partners, including start-ups and technology companies. Equally important is breaking down silos between finance, technology, and business leaders. By fostering cross-functional collaboration, these stakeholders can jointly build strong business cases that demonstrate how AI can help deliver a long-term competitive advantage.

报告强调,成功的品牌可以从将AI视为仅仅是生产力提升的工具,演变为将其定位为企业创新的核心驱动力。实现这种转变需要重新思考传统治理和再技能策略。零售商应定制AI倡议,以与其品牌优先事项对齐,并与战略合作伙伴(包括初创公司和科技公司)合作。同样重要的是打破财务、科技和业务领导者之间的壁垒。通过促进跨职能的合作,这些利益相关者可以共同建立强有力的商业案例,展示AI如何提供长期竞争优势。

Connect with IBM at NRF 2025: AI is taking center stage for IBM at NRF'25. Join us as we delve into how the technology is enhancing everything from customer engagement and personalization to operational efficiency. We'll share innovative examples in marketing, supply chain management, and sustainability. IBM industry experts will be at Booth #4639. Stay updated via our NRF webpage. #NRF2025

在NRF 2025与IBM连接:AI在NRF'25上成为IBM的核心焦点。加入我们,深入探讨这项技术如何提升从客户参与和个性化到运营效率的方方面面。我们将分享在市场营销、供应链管理和可持续性方面的创新案例。IBM行业专家将在展位#4639。请通过我们的NRF网页保持更新。#NRF2025

For more information and to access the full report, visit here.

欲了解更多信息并访问完整报告,请点击这里。

Methodology

方法论

The IBM Institute for Business Value (IBM IBV), in cooperation with Oxford Economics, surveyed 1,500 global retail and consumer products executives in 15 countries in Q3 2024. 50% of the sample represented retail industry and 50% represented consumer products in nine countries in Q3 2024.

IBM商业价值研究所(IBM IBV)与牛津经济研究院合作,于2024年第三季度在15个国家对1500名全球零售和消费产品高管进行了调查。样本的50%来自零售行业,50%来自9个国家的消费产品。

Participants were asked a range of questions in various formats (such as multiple choice numerical and Likert scale). They were asked about their organization's expectations, results, concerns, and barriers for scaling or planning to scaleAI/Gen AI within the enterprise and across their ecosystem partners.

参与者被问及一系列问题,形式多样(如选择题、数字题和李克特量表)。他们被询问了组织对在企业及其生态系统合作伙伴中扩展或计划扩展AI/生成型AI的期望、结果、关注和障碍。

To accomplish this, the IBM IBV ran a series of contrast analyses, including pairwise comparisons and data classification using hierarchical clustering highlighting results differences as shown in this report. Significance level for all analyses was set
at (p < 0.05) level.

为此,IBM IBV进行了一系列对比分析,包括成对比较和数据分类,使用层次聚类突出结果差异,详见本报告。所有分析的显著性水平设定为
(p

About IBM

关于IBM

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit for more information.

IBM是全球领先的混合云和人工智能以及咨询专业知识的提供者。我们帮助超过175个国家的客户利用他们的数据洞察,优化业务流程,降低成本并在各自的行业中获得竞争优势。在金融服务、电信和医疗保健等关键基础设施领域,超过4,000个政府和企业实体依赖IBM的混合云平台和Red Hat OpenShift,以快速、高效和安全地进行数字化转型。IBM在人工智能、量子计算、行业特定云解决方案和咨询方面的突破性创新向我们的客户提供开放而灵活的期权。所有这一切都得益于IBM对信任、透明、责任、包容性和服务的长期承诺。有关更多信息,请访问。

Media Contact:
Kelsey Lazio
Global External Relations Lead, Consumer and Retail, IBM
Kelsey.lazio@ibm.com

媒体联系人:
凯尔西·拉齐奥
全球外部关系负责人,消费和零售,IBM
Kelsey.lazio@ibm.com

SOURCE IBM

来源 IBM

译文内容由第三方软件翻译。


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