Industry Intelligence Mergers and Acquisitions

IBM to Acquire HashiCorp, Inc.

$6.4 billion acquisition to create comprehensive end-to-end hybrid cloud platform. HashiCorp's capabilities to drive significant synergies across…

Michael Webb | May 01, 2024

$6.4 billion acquisition to create comprehensive end-to-end hybrid cloud platform.

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  • HashiCorp's capabilities to drive significant synergies across multiple strategic growth areas for IBM, including Red Hat, watsonx, data security, IT automation and Consulting
  • As a part of IBM, HashiCorp is expected to accelerate innovation and enhance its go-to-market, growth and monetization initiatives

IBM (NYSE: IBM) and HashiCorp Inc. (NASDAQ: HCP), a leading multicloud infrastructure automation company, has announced they have entered into a definitive agreement under which IBM will acquire HashiCorp for $35 per share in cash, representing an enterprise value of $6.4 billion. HashiCorp's suite of products provides enterprises with extensive Infrastructure Lifecycle Management and Security Lifecycle Management capabilities to enable organizations to automate their hybrid and multicloud environments. Today's announcement is a continuation of IBM's deep focus and investment in hybrid cloud and AI, the two most transformational technologies for clients today.

"Enterprise clients are wrestling with an unprecedented expansion in infrastructure and applications across public and private clouds, as well as on-prem environments. The global excitement surrounding generative AI has exacerbated these challenges and CIOs and developers are up against dramatic complexity in their tech strategies," said Arvind Krishna, IBM chairman and chief executive officer. "HashiCorp has a proven track record of enabling clients to manage the complexity of today's infrastructure and application sprawl. Combining IBM's portfolio and expertise with HashiCorp's capabilities and talent will create a comprehensive hybrid cloud platform designed for the AI era."

The rise of cloud-native workloads and associated applications is driving a radical expansion in the number of cloud workloads enterprises are managing. In addition, generative AI deployment continues to grow alongside traditional workloads. As a result, developers are working with increasingly heterogeneous, dynamic, and complex infrastructure strategies. This represents a massive challenge for technology professionals.

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