IBM said it has completed its acquisition of Confluent Inc. for about $11 billion to provide enterprises with the real-time data flow necessary to power artificial intelligence models and automated agents.
The deal, valued at $31 per share in cash, integrates Confluent’s data streaming platform with IBM’s software portfolio. Confluent, built on Apache Kafka, is used by more than 6,500 enterprises to manage live data across on-premises and hybrid cloud environments.
The acquisition addresses a primary barrier for companies moving AI from experimentation to production: the need for governed, continuously refreshed data. While traditional data systems often deliver information hours or days after it is generated, the combined platform aims to provide AI agents with a “fabric” of live operational signals.
IBM Software senior vice-president and chief commercial officer Rob Thomas said the integration allows clients to move trusted data across their entire operation.
“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,” Thomas said.
The merger brings immediate integrations to the IBM ecosystem. Confluent will now stream live operational events directly into IBM watsonx.data, ensuring AI workflows maintain current context. The technology will also connect with IBM Z to stream transactional data from mainframes for real-time analytics and automation.
Industry analysts suggest the deal fills a critical gap in modern data architecture. SanjMo Principal Analyst Sanjeev Mohan said AI agents do not operate on historical data but require live signals as events occur.
Confluent chief executive and co-founder Jay Kreps said joining IBM will accelerate the mission of making data streaming as foundational to the enterprise as the database.
“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,” Kreps said.
The acquisition also scales existing use cases where Confluent manages global operations. Michelin uses the platform to manage inventory across 170 countries, reporting 35 percent cost savings. Other major users include L’Oréal, BMW Group and Ticketmaster, which use the stream of data to power machine learning and respond to consumer demand.
IDC estimates that more than 1 billion new logical applications will emerge by 2028. IBM and Confluent executives believe the value of these applications will depend entirely on whether the underlying data is live and trusted.
