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IDC:2026谷歌云AI商业价值报告(英文版)(23页).pdf

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1、July 2025|Business Value White Paper,sponsored by Google CloudThe Business Value of Google Cloud Generative AIDave SchubmehlResearch Vice President,Artificial Intelligence and Automation,IDCMegan SzurleyBusiness Value Manager,Business Value Strategy Practice,IDCNancy GohringSenior Research Director,

2、Artificial Intelligence,IDCTHIS PDF USES HYPERLINKS2Business Value White Paper,sponsored by Google Cloud July 2025|IDC#US53278925The Business Value of Google Cloud Generative AITable of ContentsBusiness Value Highlights 3Executive Summary 3Situation Overview 4Google Cloud Generative AI Overview 4The

3、 Business Value Of Google Generative AI Use Cases 5Study Firmographics 5Choice and Use of Google Cloud Generative AI 6Business Value And Quantified Benefits 8Content Creation Use Case 8Application Development Use Case 10Data Enablement Use Case 11Aggregated Use Case Business Value Results 12End-User

4、 Productivity Impact of Google Cloud Generative AI Use Cases 13Revenue Impact of Google Cloud Generative AI Use Cases 15Operational Cost Impact of Google Cloud Generative AI Use Cases 16ROI Summary 16Challenges/Opportunities 17Conclusion 18Appendix 1:Methodology 19Appendix 2:Supplemental Table 20Abo

5、ut the IDC Analysts 213Business Value White Paper,sponsored by Google Cloud July 2025|IDC#US53278925The Business Value of Google Cloud Generative AITable of Contents727%three-year ROI$205,000 in average annual benefits per 1,000 employees36%more productive end users8-month payback on investment$3.29

6、 million reduction in annual operational costsExecutive SummaryMost organizations now recognize that generative AI(GenAI)technology will be key to business success.Over the past 1224 months,organizations have identified and experimented with scores of GenAI use cases that have the potential to boost

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1. **核心价值**:采用Google Cloud生成式AI的企业平均每1000名员工年收益20.5万美元,三年ROI达727%,投资回收期仅8个月。 2. **关键效益**: - 内部用户生产力提升36%,相当于每年增加683工时; - 年均运营成本减少329万美元; - 年均新增净收入138万美元(基于15%运营利润率)。 3. **主要用例**:内容创作(如广告生成提速46%)、应用开发(开发者效率提升50%)、数据赋能(数据模型开发提速300%)。 4. **选择原因**:Google Cloud的数据能力、模型灵活性(如Vertex AI、Gemini)及平台集成性是关键优势。
**ROI有多高?** **如何提升效率?** **如何创收?**
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