Snowflake aids enterprise AI readiness, says ISG report
The 2026 ISG Provider Lens report details Snowflake's expanding role in enterprise AI readiness and data modernization. It highlights how organizations use the platform to create AI-ready data foundations and manage multi-platform environments. The study evaluates 33 providers, naming 13 as Leaders and recognizing Hexaware for customer experience excellence.

*this image is generated using AI for illustrative purposes only.
Enterprises are increasingly adopting the Snowflake data platform to strengthen trusted data foundations and support AI initiatives, according to a new research report published today by Information Services Group (ISG). The 2026 ISG Provider Lens global Snowflake Ecosystem Partners report finds that Snowflake is evolving from a cloud-native data warehouse into an enterprise environment for AI operationalization. Organizations are utilizing the platform as a central coordination layer for secure data access, collaboration, and AI-enabled business operations to address architectural complexity and interoperability requirements.
Strategic Modernization and AI Readiness
Many enterprises are pursuing controlled modernization strategies with Snowflake to reduce operational disruption while maintaining existing reporting structures. In regulated industries, organizations are migrating workloads from legacy environments using Snowflake’s separation of compute and storage. These approaches preserve auditability and continuity, allowing enterprises to concentrate on optimization and broader data usability as migrations mature. To support successful AI initiatives, companies are prioritizing AI-ready data environments that include strong metadata management and visible operations.
Multi-Platform Integration and Cost Management
Snowflake increasingly serves as a data consumption and collaboration layer within multi-platform operating models. Rather than consolidating on a single platform, enterprises are using Snowflake alongside other data and analytics platforms to support secure data sharing and operational reporting. This trend necessitates interoperable frameworks and seamless data movement across fragmented environments. To manage costs, companies are implementing workload optimization, warehouse right-sizing, and continuous performance monitoring within Snowflake environments.
Provider Quadrants and Leaders
The report evaluates the capabilities of 33 providers across two quadrants: Modernization and AI/ML Enablement Services and Managed Data and Optimization Services. ISG named several organizations as Leaders in both quadrants for their capabilities in the Snowflake ecosystem.
| Provider | Quadrant Recognition |
|---|---|
| Accenture | Leader in both quadrants |
| Capgemini | Leader in both quadrants |
| Cognizant | Leader in both quadrants |
| DXC Technology | Leader in both quadrants |
| EY | Leader in both quadrants |
| HCLTech | Leader in both quadrants |
| Hexaware | Leader in both quadrants |
| Infosys | Leader in both quadrants |
| LTM | Leader in both quadrants |
| NTT DATA | Leader in both quadrants |
| Slalom | Leader in both quadrants |
| TCS | Leader in both quadrants |
| Tredence | Leader in both quadrants |
In addition to the Leaders, Genpact and phData were named as Rising Stars in one quadrant each. The report also recognized Hexaware as the global ISG CX Star Performer for 2026 among Snowflake ecosystem providers, citing the highest customer satisfaction scores in ISG's Voice of the Customer survey.
How will Snowflake's evolution into an AI operationalization platform impact its competitive positioning against specialized AI and ML infrastructure providers?
What specific cost management strategies will enterprises need to adopt as they scale Snowflake alongside other platforms in multi-cloud environments?
How will regulatory requirements influence the speed and approach of legacy workload migrations to Snowflake in highly regulated industries?



























