Executive Summary: ISG Provider Lens™ Snowflake Ecosystem Partners - Europe 2025

The individual quadrant reports are available at:

ISG Provider Lens™ Snowflake Ecosystem Partners - Snowflake Consulting and Advisory Services - Europe 2025

ISG Provider Lens™ Snowflake Ecosystem Partners - Snowflake Implementation Services - Europe 2025

ISG Provider Lens™ Snowflake Ecosystem Partners - Snowflake Managed and Support Services - Europe 2025

Snowflake modernizes data infrastructure, enables AI-driven insights and ensures compliance in cloud transitions

In today’s data-driven economy, enterprises face immense pressure to modernize their data infrastructure to support real-time decisionmaking, enhance agility and unlock new business value. However, legacy systems and fragmented architectures create significant obstacles that limit innovation, scalability and operational efficiency. As data volumes surge and use cases expand from AI and predictive analytics to secure data collaboration, traditional platforms fail to meet modern enterprise demands. Transitioning to cloudnative, flexible and intelligent platforms has become  essential. In 2025, tech spending is mainly driven by investments in cybersecurity, infrastructure modernization and cloud adoption, data and analytics and AI-enabled innovation. Combined, these tech priorities fuel demand for cloud data platforms, such as Snowflake, that enable firms to consolidate and manage diverse data types, including structured and unstructured, into a single platform. This consolidation eliminates data silos and improves data access, sharing and collaboration across the organizations.

The Europe Snowflake ecosystem is influenced by several business priorities, including:

• Data scalability and performance bottlenecks: Traditional on-premises data warehouses often struggle to accommodate modern enterprise data’s volume, velocity and variety. As data grows exponentially, legacy systems become challenging and expensive to scale, resulting in performance degradation, slow query response times and
resource contention. These limitations prove especially problematic when supporting concurrent users or existing AI and ML workloads. Cloud data platforms such as Snowflake offer elastic architectures that allow enterprises to scale, compute and store independently, ensuring high performance without overprovisioning.

• Enabling data-driven decision-making: Managing data effectively and improving data-driven decision-making have long been business priorities. Organizations increasingly rely on data analytics to guide their decision-making processes. Growing concerns over global supply chain disruptions, heightened by potential tariffs, have accelerated projects targeting increased process automation, improving visibility and ensuring business continuity. Simultaneously, the surge in AI awareness, demand and adoption has amplified the focus on data access, quality and management. This shift is transforming the data management landscape and increasing the demand for cloud data management platforms, including Snowflake and related services.

• Cloud migration and multicloud complexity: Enterprises pursuing cloud modernization often encounter challenges while migrating from legacy data platforms, such as data transfer latency, workload reconfiguration and compatibility issues, which pose risks of operational disruption. Many organizations are adopting multicloud strategies to avoid vendor lock-in, comply with regional regulations or optimize cost and performance across providers. Data
cloud platforms such as Snowflake simplify this transition by offering a cloud-agnostic and fully managed architecture. Its native support for cross-cloud replication, unified user experience and built-in governance tools allow enterprises to operate a single, secure data platform across clouds, enabling workload portability, regulatory compliance and business continuity without added infrastructure overhead.

• Enhancing data sharing, collaboration and monetization: The shifting dynamics of hybrid work have increased the demand for solutions and platforms that enable collaboration across geographical and organizational boundaries. Cloud data platforms, such as Snowflake, ease data sharing and access for distributed teams. Snowflake’s data-sharing capabilities and marketplace allow organizations to monetize their data, transforming data into a tangible 
strategic asset.

• Delivering insights for transparency, traceability and reporting: This effort begins with regulatory  compliance, especially regarding data protection regulations, such as GDPR and CCPA. Organizations seek to consolidate and share data to enhance sustainability initiatives that evaluate, manage and reduce carbon footprints.
AI-driven insights, facilitated by a wellmanaged cloud data management platform, have become essential for  achieving these sustainability goals.

• Scaling for AI and modern analytics: Legacy systems rarely support modern analytics, ML and AI at scale. Enterprises need platforms that integrate natively with data science tools, support Python or R, and allow for in-database ML processing. Snowflake addresses this need with its tools, accelerators and native integration with third-party ML platforms, making it easier to prepare data, run models and deploy AI and generative AI (GenAI) solutions securely and efficiently.

• Ensuring effective data governance and security: With increasingly strict data privacy regulations, such as GDPR, HIPAA and CCPA, particularly in Europe, enterprises must enforce strict governance controls, secure access and maintain audit trails. Traditional platforms often lack native capabilities to support fine-grained access control or crossregional compliance. Snowflake addresses these concerns with built-in features, such as role-based access  control (RBAC), dynamic data masking, data lineage and support for regulatory frameworks through integrations
with third-party governance tools.

As European organizations increasingly adopt Snowflake for their data management needs, the ecosystem surrounding this cloud data platform is undergoing rapid transformation. The Snowflake ecosystem has rapidly evolved into a foundational data platform for enterprises seeking to modernize their data strategies, integrate AI capabilities and enable secure collaboration across distributed ecosystems. As the Snowflake ecosystem matures, IT service providers play a pivotal role in helping clients unlock the platform’s full value through strategic consulting, deep
platform engineering, native application development and managed services. Several major trends are emerging in the capabilities of IT service providers concerning Snowflake implementations, spanning consulting and advisory, implementation services, managed services, data engineering and advanced technologies, highlighting the dynamic nature of this ecosystem.

A critical growth area is the expansion of consulting and advisory services. IT service providers increasingly offer tailored consulting solutions to guide European organizations through their Snowflake journeys, aligning their data strategies with business goals. These advisory services cover various offerings, including strategic assessments, architecture design, data governance frameworks and change management processes. By leveraging their expertise in industry best practices, consultants help organizations identify areas where Snowflake can deliver significant value, 
ensuring optimized investments for maximum ROI. Moreover, these consulting services often extend beyond initial implementation, providing ongoing support as organizations evolve and adapt to new business needs. Providers analyze organizational data readiness, suggest improvements in data quality and help establish robust governance structures necessary for compliant and effective data usage. This advisory role is vital in fostering a culture of data-driven decision-making, enabling organizations to integrate analytics seamlessly into their operations and empowering
employees to derive actionable insights from their data assets.

Another noticeable trend in the Snowflake ecosystem for the European region is the enhancement of implementation services offered by IT service providers. As businesses transition their data infrastructures to Snowflake, providers deliver a broader array of end-to-end implementation services to ensure smooth transitions. These services encompass various approaches, from traditional greenfield implementations to the complexities of migrating large volumes of data from legacy systems. Service providers, using advanced data migration tools and methodologies, such as those based on GenAI, streamline the migration process, minimizing disruptions and ensuring data integrity.

In their migration and transformation efforts, service providers increasingly leverage Snowflake’s comprehensive suite of products, including Streamlit, Snowpark and various native applications. For instance, Streamlit enables providers to rapidly build interactive data applications, granting organizations user-friendly interfaces for visual data analysis without deep technical expertise. The adoption of Snowpark technology is reshaping how European organizations approach data transformation, enabling the development of custom applications and analytics directly within the Snowflake platform. Snowpark facilitates custom data processing workflows by allowing data engineers and scientists to develop functions in their preferred programming languages directly within Snowflake’s environment. Such  integration encourages teamwork and promotes data sharing across the organization. This shift enhances operational efficiency and fosters innovation in data utilization and analysis.

Alongside these enhancements in implementation, a significant trend involves the increasing integration of advanced analytics and AI technologies in the European region. Service providers leverage Snowflake’s capabilities to offer sophisticated analytics solutions tailored to specific business needs. Deploying GenAI within data products optimizes various tasks, including data modeling, quality checks and insights generation. Tools such as Snowflake’s Cortex AI enable predictive analytics, real-time monitoring and AI-assisted compliance, empowering organizations to make informed, data-driven decisions aligned with their business objectives and amplifying the value derived from their data assets. The emergence of autonomous data agents exemplifies how AIdriven solutions streamline complex migration tasks and data analysis processes. These advancements reduce project timelines and enhance user self-service capabilities, allowing business users to derive insights and value from data independently.

Another emerging theme is the development of tailored, industry-specific solutions on Snowflake. Service providers are aligning with Snowflake’s Industry Data Clouds, especially for banking and healthcare, to offer verticalized data products that embed compliance templates, domain-specific KPIs and AI capabilities. These offerings reduce time-to-value for European clients while helping them navigate complex legal landscapes. Providers are also implementing Snowflakepowered industry cloud solutions that comply with sector-specific regulations and
performance metrics.

A notable trend is the rise of Snowflake Native Apps and Marketplace-based monetization strategies. Leveraging Snowflake’s Native App Framework, providers develop custom applications that improve operational efficiencies. Organizations streamline their data management workflows through these built-in features, enhance productivity and respond more rapidly to market shifts. Providers are building and managing applications using the Snowflake Native App Framework leveraging SQL, JavaScript and Snowpark APIs to address needs such as FinOps dashboards,  predictive maintenance applications and intelligent document processing. These applications are often distributed via the Snowflake Marketplace, where service providers help clients monetize their data assets through curated data products and embedded analytics. Snowflake’s marketplace capabilities enhance data access and monetization opportunities, allowing organizations to buy and sell relevant datasets tailored to their needs.

As organizations recognize the importance of sustaining their data environments, the demand for managed services designed to optimize and govern these platforms has risen sharply in Europe. Providers are expanding their managed services capabilities with a keen focus on cost optimization, data observability and continous integration/ continuous deployment (CI/CD) mechanisms. They are integrating advanced data observability tools that offer real-time monitoring of data flows and transformations, enabling organizations to gain insights into the entire data lifecycle, ensuring data accuracy, consistency and availability. Additionally, audit tools are implemented to maintain compliance and oversight, providing organizations with essential tracking and reporting capabilities.

This capability allows businesses to proactively identify and rectify issues, fostering accountability and transparency within their data operations.

Moreover, the focus on cost optimization within managed services is paramount. Providers employ advanced strategies to analyze usage patterns, eliminate unnecessary expenditures and advise clients on efficient resource allocation. Implementing CI/CD mechanisms for Snowflake environments further enhances the agility and flexibility of data operations by enabling rapid deployment of updates and features without significant downtime. This iterative approach ensures that organizations can swiftly adapt to changing business needs, maintaining a competitive edge in fast-paced markets.

Security and governance within the Snowflake ecosystem have also become paramount, especially as enterprises handle sensitive data. In Europe, Snowflake adoption is influenced by distinct priorities and regulatory requirements. One prominent trend is the strong emphasis on data compliance, governance and sovereignty, which is driven primarily by GDPR. Enterprises across sectors seek Snowflake deployments that align closely with regional privacy mandates. As a result, service providers are tailoring Snowflake implementations with granular role-based access control (RBAC), dynamic data masking, object tagging and audit-ready configurations. IT service providers commit to establishing robust data governance frameworks that ensure compliance with industry regulations, especially in the finance and healthcare sectors.

European clients are increasingly exploring Snowflake’s advanced data-sharing and collaboration features. The adoption of Snowflake Clean Rooms is growing, particularly in sectors where data privacy and consent management are critical. Service providers enable secure multiparty analytics using Snowflake’s clean room capabilities, offering tokenization, anonymization and privacy-enhanced data-sharing support. Introducing data clean rooms helps businesses maintain data privacy while enabling secure collaboration across different datasets for analytical purposes.

Another significant trend in the European Snowflake ecosystem is the emphasis on partnerships and continuous learning. Service providers are forming strategic alliances with academic institutions and training organizations to bridge the skills gap in data management. These collaborations focus on developing talent in data engineering, AI and
Snowflake-related technologies, ensuring organizations have access to a skilled workforce capable of navigating the complexities of modern data ecosystems. Partnerships with e-learning platforms facilitate ongoing professional development, allowing employees to stay updated on the latest industry trends and advancements. This commitment to continuous learning fosters a culture of innovation and adaptability, positioning organizations to respond effectively to ever-evolving market demands.

In conclusion, the Snowflake ecosystem is witnessing a remarkable transformation as IT service providers enhance their capabilities across multiple dimensions. From advanced implementation and managed services to cost optimization, AI integration and robust governance frameworks, organizations benefit significantly from these trends. As businesses in Europe continue to navigate their digital transformation journeys, collaboration between service providers and enterprises will be critical in unlocking the full potential of Snowflake’s capabilities. These trends reflect the current landscape and pave the way for a future where data becomes a pivotal asset for innovation and strategic decision-making. Staying attuned to these trends is essential for businesses aiming to leverage Snowflake,  maximizing their data potential while ensuring compliance, security and operational efficiency. As service providers
continue to innovate and refine their offerings, organizations can anticipate a dynamic and supportive ecosystem that fosters data-driven success across their industries. 

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