IBM Bets on Data Streaming With $11 Billion Confluent Deal
IBM says the integration will tie Confluent’s streaming capabilities into its existing stack.
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IBM has acquired data streaming firm Confluent for about $11 billion, betting that real-time data pipelines will be critical as companies shift artificial intelligence from experimentation to large-scale deployment.
The deal brings Confluent’s platform, used by more than 6,500 enterprises including about 40% of the Fortune 500, into IBM’s broader effort to build infrastructure for enterprise AI.
The combined offering is positioned as a way to address a persistent bottleneck: most enterprise data is still fragmented, delayed, and difficult to use in real time.
“Transactions happen in milliseconds, and AI decisions need to happen just as fast. With Confluent, we are giving clients the ability to move trusted data continuously across their entire operation so their AI models and agents can act on what is happening right now, not on data that is hours old,” said Rob Thomas, Senior Vice-President, IBM Software and Chief Commercial Officer.
“Together, IBM and Confluent give enterprises the foundation for a new operating model, one where AI runs on live data, drives decisions in real time, and delivers value at scale,” he said.
Research firm IDC estimates more than one billion new applications could emerge by 2028, many of them dependent on continuously flowing data rather than static datasets. That scale, IBM said, requires a unified layer where AI systems can access live data across hybrid and on-premises environments
Confluent, built on Apache Kafka, already plays that role in parts of large enterprises. Companies such as Michelin, L’Oréal, BMW Group, and Ticketmaster use the platform to stream operational data, from inventory and supply chains to IoT systems and customer activity, in real time.
“Since our founding, Confluent’s mission has been to set the world’s data in motion, making data streaming as fundamental to the enterprise as the database. Joining IBM allows us to accelerate that mission at a much greater scale,” said Jay Kreps, CEO and co-founder of Confluent.
“IBM’s global reach and deep enterprise relationships will help us go further, faster. As enterprises move from experimenting with AI to running their business on it, helping data flow continuously across the business has never mattered more. I’m excited to see what we’ll build together,” he said.
IBM said the integration will tie Confluent’s streaming capabilities into its existing stack, including watsonx.data, IBM Z systems, MQ messaging, and webMethods integration tools, aiming to connect legacy systems with newer AI-driven workflows.
Still, the strategy reflects a larger industry tension: while companies have invested heavily in AI models, many are now grappling with the underlying data infrastructure needed to make those systems useful in real-world operations.
Under the terms of the deal, IBM acquired all outstanding Confluent shares at $31 per share in cash, valuing the company at approximately $11 billion.
