Did you know that by 2027, Gartner predicts 50% of today’s data analysts will be retrained as data scientists, and data scientists themselves will shift toward AI engineering roles? This rapid evolution signals a fundamental transformation in how organizations leverage data science, machine learning, and AI to drive business outcomes.
The newly released 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms is the industry’s definitive guide to the platforms shaping the future of analytics and AI. This year’s report highlights not just the expanding capabilities of these platforms, but also the accelerating pace of innovation—especially as organizations seek to democratize data science and deploy AI across every business function.
50% of today’s data analysts will be retrained as data scientists, and data scientists themselves will shift toward AI engineering roles
Databricks: A Leader in Data Science and Machine Learning
Databricks stands out as a Leader in the 2025 Gartner Magic Quadrant, recognized for its integrated Data Intelligence Platform. This platform combines lakehouse architecture, robust data engineering, governance, analytics, and advanced model training—including GenAI capabilities—into a unified solution. Key highlights from the report:
- Comprehensive integration: Databricks offers seamless data engineering, analytics, and machine learning workflows, making it easier to move from raw data to actionable insights.
- Enterprise scale: With clients ranging from midsize to large enterprises across all sectors, Databricks supports high-volume, mission-critical workloads.
- Strategic growth: Recent acquisitions (such as Tabular, Lilac, and Prodvana) and a $10 billion funding round in 2024 have further strengthened its platform’s data compatibility, unstructured data evaluation, and cloud-native infrastructure.
- SAP partnership: The new partnership with SAP integrates Databricks’ Data Intelligence Platform into SAP Business Data Cloud, expanding its reach and utility for enterprise customers.
The Evolving DSML Platform Landscape
Gartner’s report underscores that modern data science and machine learning platforms must do more than support code-first development. Today’s leading platforms offer:
- Low-code and no-code interfaces for business users and domain experts
- Automation and AI assistance throughout the data science lifecycle
- MLOps capabilities for deploying, monitoring, and retraining models at scale
- Support for generative AI (GenAI), including large language models and advanced prompt tracking
- Robust governance, explainability, and compliance features critical for regulated industries
Databricks excels in these areas, enabling organizations to accelerate model development, enhance collaboration, and ensure data integrity from ingestion to production.
What This Means for Data Leaders
With the proliferation of distributed data, the need for scalable, collaborative, and intelligent platforms has never been greater. The 2025 Gartner Magic Quadrant makes it clear: organizations that embrace platforms like Databricks can dramatically reduce the time and barriers to deploying predictive and prescriptive analytics, unlocking new opportunities for growth and innovation.
Ready to Transform Your Data Science and Machine Learning Capabilities?
As a Databricks services company, Datasmiths is uniquely positioned to help you harness the full power of Databricks for your data science, machine learning, and GenAI initiatives. Whether you’re looking to modernize your analytics stack, enable self-service AI, or scale MLOps, our experts can guide you every step of the way.