Data streaming enables AI product innovation

In the largest global report on data streaming, 89% say DSPs make AI adoption easier.

  • Wednesday, 21st May 2025 Posted 1 year ago in by Phil Alsop

Confluent has released findings from its fourth annual Data Streaming Report, which surveyed 4,175 IT leaders across 12 countries. The results make it clear that data streaming platforms (DSPs) are no longer optional; they are critical to artificial intelligence (AI) success and broader business transformation. A majority of IT leaders (89%) see DSPs easing AI adoption by tackling data access, quality, and governance challenges head-on. And that explains why 90% plan to increase investments in DSPs in 2025.

“From powering agentic AI to enabling real-time fraud detection, data streaming platforms are quickly becoming the fuel for modern enterprises,” said Rey Perez, Chief Customer Officer at Confluent. “They are uniquely positioned to address today’s most pressing data challenges while enabling innovations that drive businesses into the future.”

Why It Matters for AI

Real-time data is indispensable for AI applications. In order for an AI agent, chatbot, or assistant to provide value, they need instant access to trustworthy data about the business, its customers, and the world around it. This isn’t possible without a complete data streaming platform that creates continuous, high quality, and discoverable streams of data that can be consumed anywhere in the organisation. Not only is it table stakes for this new wave of AI, but it’s core to helping any business run in real time.

“Where would we be without a data streaming platform? I think we’d be out of business,” said Sudhakar Gopal, EVP & CIO at Citizens Bank. “A data streaming platform makes it easy for us to exchange data between all our point-to-point applications, enabling us to make game-changing decisions in real time.”

Key Takeaways From the 2025 Data Streaming Report

Driving force behind AI breakthroughs: 87% say DSPs will be used more to feed AI systems with real-time, contextual, and trustworthy data.

Non-negotiable for business strategy: 86% rank data streaming as an important strategic priority.

High-impact investment: 44% report 5x return on investment (ROI) for data streaming, compared to 41% in 2024.

“Shift left” gains momentum: 81% of IT leaders reduced costs and risks across development and operations by adopting a shift-left approach to data processing and governance. 

UK's pragmatic approach to AI automation prioritises pre-built solutions over bespoke development, contrasting with US's costlier custom-centric...
Certification's true value lies beyond speed, focusing on continuous system improvement for genuine resilience.
Evolve IP's recent session in Rotterdam brought UK and Dutch partners closer to foster collaboration and growth within the tech industry.

NetApp reveals StorageGRID 12.1 to enhance AI workloads

Posted 1 day ago by Sophie Milburn
NetApp releases StorageGRID 12.1, enabling better management of AI workloads across distributed environments.
The UK government has announced funding for new AI labs focused on reliability and efficiency, with collaboration planned between researchers and...
Exploring the critical role of trustworthiness in AI for CSPs and how it affects the future of autonomous enterprises.
Toby Weiss steps in as CEO of Securonix, aiming to enhance security operations amid evolving threats.
Exploring the shortcomings in AI governance and the potential avenues for managed service providers to bridge the gap between confidence and control.