IBM has acquired Hakkoda Inc., a data and AI consultancy with recognized expertise in cloud data platforms and enterprise data modernization. The move enhances IBM Consulting’s ability to help clients prepare their data for AI-driven operations, meeting rising demand for integrated, efficient data solutions.
Hakkoda brings deep specialization in migrating and monetizing data estates, with a strong track record in Snowflake implementations and generative AI-powered assets. Its acquisition expands IBM’s ability to deliver scalable data transformation services across industries such as financial services, healthcare, life sciences, and the public sector.
The integration of Hakkoda supports IBM Consulting’s broader strategy of accelerating AI adoption through a combination of platform-driven services and industry-specific expertise. With an asset-centric delivery model and global reach—including teams across the U.S., Latin America, India, and Europe—Hakkoda adds scale and technical depth to IBM’s consulting arm.
As organizations prepare for AI adoption, they require modern cloud-based data platforms that support multi-use case deployments. Hakkoda’s partnerships with Snowflake and AWS, along with its industry certifications, position IBM to offer deeper support in building these next-generation architectures. This acquisition follows IBM’s ongoing efforts to pair consulting expertise with AI delivery platforms, supporting clients through complex modernization efforts with a focus on cost, speed, and performance.
IBM’s acquisition of Hakkoda is a clear signal that enterprise data modernization and AI-readiness are moving to the forefront of business priorities. For MSPs, this raises the bar—clients will increasingly expect support not just for infrastructure management but also for data platform integration, migration, and optimization. With Hakkoda’s proven expertise in Snowflake and generative AI assets now part of IBM’s offering, MSPs must consider expanding their capabilities around cloud-native data platforms and AI-enablement to stay relevant in this evolving landscape.
At the same time, the shift toward asset-driven, outcome-focused service models creates new opportunities for MSPs to differentiate. By developing reusable solutions, gaining certifications in platforms like Snowflake and AWS, or specializing in specific industries, MSPs can position themselves as strategic partners in AI transformation journeys. There’s also room to collaborate—MSPs with niche strengths can find a place in the broader ecosystem supporting enterprise modernization, especially as demand accelerates for integrated, AI-ready data services.
