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DATA & CDPDeveloping

ISG Research: GenAI Will Transform All BI Software by 2027

·2 min read·1 source
1

The Development

Information Services Group released new research predicting that by 2027, nearly all business intelligence software providers will incorporate augmented intelligence based on generative AI. The study, which evaluated 21 major analytics providers including AWS, Microsoft, Google, and Salesforce, found that 66% of enterprises currently use machine learning, with 75% planning to expand usage. ISG's research spans seven buyer guides covering general analytics, AI-powered analytics, and industry-specific solutions for healthcare, manufacturing, and retail. The transformation centers on generative AI's ability to automate data preparation—traditionally the most time-consuming aspect of analytics—enabling business users to conduct analysis independently without heavy IT involvement. ISG executive director David Menninger emphasized that AI and ML now go beyond traditional analytics by classifying, predicting, and recommending operational improvements, with specialized industry applications becoming increasingly sophisticated.

2

Our Take

This isn't just another AI adoption prediction—it's a timeline for when analytics differentiation disappears. ISG's 2027 forecast means we're roughly 24 months away from GenAI analytics becoming table stakes rather than competitive advantage. The real story is in the industry-specific applications: healthcare, manufacturing, and retail are getting purpose-built AI tools that understand their unique data sources and use cases. Generic BI platforms are racing to catch up, but specialized providers are building deeper moats. The shift toward self-service analytics also signals the end of the IT bottleneck era, fundamentally changing how marketing teams will access and act on data insights.

7

The Exploit

Action Item

If you're selecting a new BI platform in 2025, prioritize vendors already demonstrating production GenAI capabilities over those promising future releases—the implementation timeline means late movers won't catch up before commoditization hits.

8

Source

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