1、1Data for AI 2025Web Data Infrastructure for AI:The foundation of AI and powering its future.Data for AI 20252Data for AI 2025Table of ContentsMethodologyBright Data commissioned Vanson Bourne to conduct an independent survey of 500 US and UK senior level decision makers working in analytics,IT and

2、technology departments,business direction and strategy,or R&D.For respondents to qualify they must develop or operate real-time AI agents,foundational models,or prediction models and use web data.The purpose of the research is to identify and understand organizations data needs and challenges in the

3、 context of data for AI.This report highlights common barriers and pain points in data requirements.3 Understanding the Role of Web Data Infrastructure for AI 6 Summary of Business Segments10 AIs Main Driver14 Competitive Edge19 Overcoming Challenges24 Message from the CEO3Data for AI 2025Understand

4、ing the Role of Web Data Infrastructure for AIGo back toTabel of Contents4Data for AI 2025Understanding the Role of Web Data Infrastructure for AIAI InfrastructureEcosystemInference Platforms (hosted model APIs)Core Compute InfrastructureAI Chips&AcceleratorsCloud AI Compute PlatformsWeb Data Extrac

5、tionBrowsing Infrastructure for AIAgent Orchestration FrameworksLLM&AI Application FrameworksDeep Learning&ML FrameworksPre-processing ToolsETL and Data PipelinesAI-Optimized DatabasesWeb Data InfrastructureData Labeling&AnnotationObservability&Monitoring ToolsSynthetic Data GenerationModel Training

6、&Fine-Tuning PlatformsAI Frameworks&LibrariesMLOps&Experimentation ToolsData Management5Data for AI 2025Understanding the Role of Web Data Infrastructure for AISupporting the Entire AI LifecycleTraining DataData FeedsWeb AccessPre-training,Tuning,Knowledge baseClean,structured dataLive data extracti