IBM has announced today that it has entered into a definitive agreement to acquire Confluent Inc., a leading streaming data company, in an all-cash transaction valued at approximately $11 billion. Under the terms of the deal, IBM will pay $31 per share in cash for all outstanding shares of Confluent common stock.
Confluent offers an enterprise-grade version of the open-source Apache Kafka data streaming platform, which is reportedly used by 80% of Fortune 100 companies. IBM stated that integrating Confluent reinforces its broader strategy to build a unified “intelligent data platform” tailored for enterprises deploying generative and agentic AI solutions.
Executives from both companies cited rising demand for trusted, real-time data across complex hybrid cloud environments as the core rationale behind the merger. In a LinkedIn post, IBM CEO Arvind Krishna said, “This acquisition expands our ability to help clients move from insights to action within intricate hybrid environments.” Jay Kreps, Confluent’s co-founder and CEO, described the move as an opportunity to accelerate Confluent’s global strategy by joining forces with IBM.
The two companies have maintained a seven-year reseller partnership. According to Andrew Humphreys, Senior Director Analyst at Gartner, “Confluent had recently been gaining market share at IBM’s expense, as IBM’s own Kafka offerings haven’t achieved the same level of success as products like IBM MQ.” He added, “This acquisition enhances IBM’s ability to tightly integrate Kafka with other elements of its product portfolio—a level of integration that would be more difficult to achieve through traditional partnerships.”
Analysts note that this acquisition aligns with IBM’s recent pattern of strategic deals aimed at strengthening its presence in cloud infrastructure and artificial intelligence—an approach that began with its 2019 acquisition of Red Hat Inc. and continued with the 2024 purchase of infrastructure automation specialist HashiCorp Inc.
Despite its recognized leadership in the streaming data space, Confluent has faced recent challenges, delivering disappointing financial results in its fiscal second quarter and subsequently lowering its guidance. Reuters reported in October that the company was exploring a potential sale.
The deal comes as major tech players like Salesforce Inc. and Oracle Corp. intensify their focus on data governance to support AI training and inference. “This positions IBM to compete more effectively against Salesforce, Oracle, and others as a platform that controls and provides access to data for AI,” said Gartner’s Humphreys. “IBM hasn’t seen significant success with its own Kafka and data streaming products, so this acquisition effectively addresses those gaps.”
IBM expects the all-cash transaction—priced at a 34% premium over Confluent’s Friday closing share price of $23.14—to be accretive to adjusted EBITDA in the first full year following its anticipated mid-2026 close, and to generate positive free cash flow by the second year.
The acquisition appears designed to anchor IBM’s AI stack at the foundational layer of data movement. Confluent’s streaming and event-driven data infrastructure is increasingly viewed as critical for enterprise-scale AI deployments, as organizations adopt real-time data pipelines to power analytics, automation, and generative AI systems.
Through this deal, IBM will also gain access to Confluent’s base of 6,500 customers, enabling it to deepen its footprint within existing enterprise data architectures and enhance cross-selling opportunities for its integrated AI, data, and cloud offerings.
