Data migration is entering a new phase.
As enterprises modernize data estates, scale AI, and adopt cloud-native architectures, migration is no longer viewed as a one-time technology initiative. It is becoming the foundation for long-term modernization, shaping how organizations build, operate, and derive value from their data.
Platforms such as Snowflake are helping accelerate this shift.
Built as a cloud-native data platform, Snowflake enables organizations to modernize data environments while supporting AI, analytics, and application development at scale. As adoption expands, the opportunity extends well beyond migration, creating demand for ongoing modernization, DataOps, managed services, and AI-led transformation.
This is changing how value is created across the ecosystem.
Customers are no longer looking for partners that can simply move data to the cloud. They increasingly need providers that can modernize data platforms, automate migration, build proprietary IP, optimize data operations, and unlock long-term business value after migration.
In response, the Snowflake ecosystem is evolving alongside the platform. Service providers are expanding capabilities, developing differentiated solutions, and moving beyond implementation-led engagements toward lifecycle ownership and continuous value realization.
These shifts are redefining the role of partners and shaping the next phase of growth across the Snowflake ecosystem.
Download the report to explore the trends, opportunities, and ecosystem shifts redefining data migration and the next phase of Snowflake’s growth.