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AI Chipsets and Accelerators for Data Centers

1H 2025 Market Decision Maker Survey Report

What’s really slowing down enterprise AI adoption?
It’s not lack of funding or executive buy-in — it’s outdated infrastructure and messy data.

This report reveals that technical debt and poor data quality are the true blockers, not strategy or support. You'll also discover how leading enterprises are using AI to decouple growth from headcount — deploying tools like conversational AI, predictive analytics, and pattern recognition to drive smarter decisions and efficiency at scale. If you're navigating your own AI transformation, this is the reality check you need.

VENDORS INCLUDED IN THE REPORT

AWS  .  AMD  .  Intel  .  Google  .  NVIDIA
and more

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Key takeaways from the report analyzing AI Processors and Accelerators for Data Centers Decision Maker Survey

Money and support of leadership aren’t the issues holding back adoption of AI, rather its technical debt (35% legacy systems, 32% lack of IT resources) and data quality issues (28% lack of a single source of truth, 27% quality concerns)

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The data in the above graphics is derived from the Futurum Intelligence report, 1H 2025 AI Chipsets and Accelerators for Data Centers Market Decision Maker Survey Report

Enterprises are leveraging AI to break the linkage between human capital and revenue growth by leveraging AI for:
      • 64% Conversational AI
        Virtual assistants, chatbots, systems that enable humans and machines to interact via natural language
      • 63% Predictive Analytics AI
        Used to analyze data to predict next actions or provide next-best-options or recommendations
      • 57% Pattern Identification, Analysis, and Decisioning AI
        Used to surface and analyze underlying or hidden insights from data, and then inform decisions

 

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