Real-Time Data is Foundational to Enterprise AI Success, New Research Finds

Survey notes organizations that embrace real-time data into their workflows are more than three times as likely to see measurable results on the majority of their AI projects

OTTAWA, ON, Sept. 2, 2026 /PRNewswire/ -- Solace, the real-time data platform for the enterprise, today announced the release of a new IDC InfoBrief, sponsored by Solace, 2026 State of Real-Time Data: Agentic Enterprises Are Running on Real-Time Data. *

Based on a survey of 623 senior technology decision-makers at $1 billion-plus enterprises across eight countries, the study found that "agentic AI has moved from experiment to operational dependency, and it has quietly rewritten the enterprise's requirements for how fast data must move." Specifically, survey respondents deemed as leaders in real-time data maturity are more than three times as likely to deliver measurable business results across the majority of their AI projects. Leaders also report roughly 23% average annual gains in areas like speed to market, risk reduction and the ability to sense and respond to change quickly.

"Every enterprise has the same AI models. The winners are the ones whose agents run on trusted, real-time data, and the numbers back it up. When data moves in real-time, AI delivers. When it doesn't, AI fails to create sustainable impact," said Paul Fitzpatrick, Chief Marketing and Business Development Officer, Solace.

The findings make clear why real-time data has become the make-or-break factor for enterprise AI:

• Real-time data and Agentic AI work in lockstep – 80% of respondents stated they are investing in or already running AI agents, and 90% say they have increased their focus on real-time data to support their agentic AI plans. When asked what is driving the growing need for real-time data, respondents named advances in agentic AI as the single biggest force re-shaping their data priorities, ahead of security, cost, and regulatory pressure 
  
  
• The hardest part of AI is connecting agents to trusted data – 40% of organizations reported that connecting AI agents in real-time to reliable enterprise data is among the top obstacles to putting them into production, not actually building the agents. Data quality and consistency (46%) ranked as the number one technical challenge overall, cited even by the most advanced organizations 

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