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Snowflake:2026年广告传媒与娱乐行业数据趋势报告(英文版)(13页).pdf

上传人: 1****1 编号:1160366 2026-03-19 13页 867.07KB

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1、DATA TRENDS 2026 ADVERTISING,MEDIA AND ENTERTAINMENTHow composability,AI governance and autonomous workflows are transforming the industryTable of ContentsOperational Reinvention in the Industry .3Trends That Matter in Advertising,Media and Entertainment .5Trend 1:From Fragmentation to Consolidation

2、 of Decisions and Workflows .6Trend 2:Composability Becomes the Default Operating Model .8Trend 3:The Fight for Control Moves to Data,Access and Autonomous Systems .9The AI Data Cloud for Media and Entertainment .11Table of Contents|2 DATA TRENDS 2026:ADVERTISING,MEDIA AND ENTERTAINMENTThe Year of O

3、perational Reinvention for the IndustryWhen AI first entered advertising,media and entertainment,it showed up more as speculation than actual infrastructure.The focus gravitated toward visible applications like chatbots and generative tools,while the harder operational questions how ad inventory is

4、priced and sold,how rights are managed,how audiences are measured,and how decisions move across increasingly automated workflows remained largely unanswered.Only now is it becoming clear that the real impact of AI lies not in the tools themselves,but in how data-driven systems make decisions at scal

5、e.Economic pressure,audience fragmentation,automation and AI-driven decisioning are now forcing companies to rethink how work actually gets done across the media value chain.This applies as much to buying and selling as it does to content monetization,rights management,measurement and engagement are

6、as where decisions are happening closer to real time and across organizational boundaries.At the same time,foundational systems are showing strain.IABs“State of Data 2026”report finds that up to 75%of the buy side says todays advanced measurement approaches underperform on rigor,timeliness,trust and

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1. **行业运营重塑**:经济压力、受众碎片化及AI驱动决策,迫使广告、媒体和娱乐业 rethink 工作流程,IAB报告显示75%买方认为现有测量系统在严谨性、及时性等方面表现不佳。 2. **三大核心趋势**: - **决策与流程整合**:从碎片化转向系统间直接交互(如NBCUniversal测试AI代理实时购买NFL广告)。 - **可组合性成主流**:85% AI用例增强而非替代现有平台,需构建统一数据环境。 - **控制权转移**:AI代理参与执行,控制权转向数据访问与治理(40%品牌-协议已含AI条款)。 3. **数据架构关键**:近实时数据管道、共享可信数据基础(如Fanatics统一粉丝数据)及AI治理框架(权限、政策)成为核心,否则“垃圾进,垃圾出”。
**AI如何重塑行业?** **数据控制权之争?** **自动化决策靠谱吗?**
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