CHAPEL HILL, N.C. — Dec. 3, 2025 – Solely 6 percen t of enterprise AI leaders say their information infrastructure is absolutely prepared for AI: a readiness hole that has turn into one in every of the greatest constraints on AI progress.
That’s a central discovering of CData Software program’s new report, The State of AI Information Connectivity: 2026 Outlook, which pulls on independently collected survey information from greater than 200 information and AI leaders at software program suppliers and enterprise organizations.
The report establishes a direct hyperlink between information infrastructure maturity and AI maturity, figuring out the core capabilities that outline AI-ready information infrastructure and revealing how gaps in information connectivity, context, and management are stalling AI initiatives throughout industries.
Right here’s the full report: https://www.cdata.com/lp/ai-
The analysis exposes a stark divide: 60 p.c of corporations at the highest stage of AI maturity have additionally invested in superior information infrastructure, whereas 53 p.c of organizations battling AI implementations are hampered by immature information techniques. The hole is costing corporations time, cash, and aggressive benefit.
“The period of AI being constrained by fashions is over. In the present day, AI is constrained by information,” mentioned Amit Sharma, CEO and Co-founder of CData. “The organizations successful with AI aren’t the ones with the finest algorithms; they’re the ones with related, contextual, and semantically constant information infrastructure.”
Findings:
- AI groups are drowning in information plumbing: 71 p.c of AI groups spend over 1 / 4 of their time on information plumbing as an alternative of innovation
- Connectivity complexity is exploding: 46 p.c of organizations want real-time entry to six or extra information sources for a single AI use case
- Actual-time information is universally vital — however nonetheless lacking: one hundred pc agree real-time information is important for AI brokers, but 20 p.c nonetheless lack real-time integration capabilities
- AI-native suppliers are outpacing conventional software program in integration calls for: AI-native software program suppliers require 3x extra external integrations than conventional corporations (46% want 26+ integrations vs. 15 p.c)
- Infrastructure maturity is the nice divide: Excessive-AI-maturity organizations have constructed centralized, semantically constant integration layers — 80 p.c of low-maturity suppliers haven’t even began
The report indicators a basic shift in AI technique. Solely 9 p.c of organizations now rank AI mannequin growth as their prime funding precedence, whereas 83 p.c are investing in or planning centralized, semantically constant information entry layers.
“Organizations are realizing that AI success isn’t decided by the sophistication of their fashions. It’s decided by the maturity of their information infrastructure,” mentioned Sharma. “The businesses gaining actual worth from AI are the ones that invested early in related, real-time information entry. People who haven’t will discover themselves at a big aggressive drawback.”
The State of AI Information Connectivity: 2026 Outlook seems to be at:
- Enterprise AI Adoption — How information infrastructure gaps are limiting AI success and what separates excessive performers from laggards
- Product AI Technique — How software program corporations are embedding AI capabilities and managing escalating integration complexity
The analysis references findings from the August 2025 MIT report, The Generative AI Hole: The State of Enterprise AI in 2025.
Disclaimer: This article is sourced from external platforms. OverBeta has not independently verified the information. Readers are advised to verify details before relying on them.
